SYSTAT Rectangular file E:\Working Files\L&W DATA-F1.SYD,
created Sun Jan 27, 2008 at 21:47:54, contains variables:

SEQ	SURVEY$	STATION$	NAME$	SIZE	WEIGHT	
LN_SIZE	LN_WEIGHT	GROUP$				

 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Anchovy
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 3   Multiple R: 0.936   Squared multiple R: 0.877
 
Adjusted squared multiple R: 0.754   Standard error of estimate: 0.164

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-14.586		6.336		0.000		.		-2.302		0.261	
LN_SIZE		3.538		1.326		0.936		1.000		2.668		0.228	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		0.191		1		0.191		7.118		0.228	
Residual		0.027		1		0.027			
*** WARNING ***
Case            1 has large leverage   (Leverage =        0.628)
Case            1 has large influence  (Cook distance =        0.846)
Case            2 has large leverage   (Leverage =        0.973)
Case            2 has large influence  (Cook distance =       17.719)
Case            3 has large influence  (Cook distance =        0.332)
 
Durbin-Watson D Statistic          1.082
First Order Autocorrelation       -0.027
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Bib
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 3   Multiple R: 0.960   Squared multiple R: 0.921
 
Adjusted squared multiple R: 0.842   Standard error of estimate: 0.206

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-8.954		2.387		0.000		.		-3.751		0.166	
LN_SIZE		2.244		0.657		0.960		1.000		3.416		0.181	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		0.497		1		0.497		11.669		0.181	
Residual		0.043		1		0.043			
*** WARNING ***
Case            4 has large leverage   (Leverage =        0.925)
Case            4 has large influence  (Cook distance =        6.125)
Case            5 has large leverage   (Leverage =        0.721)
Case            5 has large influence  (Cook distance =        1.290)
Case            6 has large influence  (Cook distance =        0.275)
 
Durbin-Watson D Statistic          1.838
First Order Autocorrelation       -0.279
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Brill
   GROUP$       = 1
Unable to enter effect 2.
This effect may fail tolerance checks.

The following effects have lost degrees of freedom.

Effect	Initial df	Lost df	Final df	
LN_SIZE                       		1		1		0	
 
***ERROR***
There is no variation in your dependent variable(s).
 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Cod
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 7   Multiple R: 0.987   Squared multiple R: 0.974
 
Adjusted squared multiple R: 0.969   Standard error of estimate: 0.097

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.471		1.212		0.000		.		-9.461		0.000	
LN_SIZE		2.996		0.219		0.987		1.000		13.652		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		1.765		1		1.765		186.381		0.000	
Residual		0.047		5		0.009			
*** WARNING ***
Case           12 is an outlier        (Studentized Residual =        2.117)
 
Durbin-Watson D Statistic          2.467
First Order Autocorrelation       -0.252
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Dab
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 1079   Multiple R: 0.989   Squared multiple R: 0.977
 
Adjusted squared multiple R: 0.977   Standard error of estimate: 0.129

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-12.065		0.073		0.000		.		-164.649		0.000	
LN_SIZE		3.105		0.014		0.989		1.000		216.239		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		773.289		1		773.289		46759.368		0.000	
Residual		17.811		1077		0.017			
*** WARNING ***
Case         1090 has large leverage   (Leverage =        0.019)
Case         1093 has large leverage   (Leverage =        0.020)
 
Durbin-Watson D Statistic          1.439
First Order Autocorrelation        0.280
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Dab
   GROUP$       =
***ERROR***
No cases were found to process.
 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Dragonet Com
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 343   Multiple R: 0.929   Squared multiple R: 0.862
 
Adjusted squared multiple R: 0.862   Standard error of estimate: 0.166

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-10.501		0.255		0.000		.		-41.152		0.000	
LN_SIZE		2.673		0.058		0.929		1.000		46.244		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		59.184		1		59.184		2138.499		0.000	
Residual		9.437		341		0.028			
 
Durbin-Watson D Statistic          1.243
First Order Autocorrelation        0.378
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Dragonet Com
   GROUP$       = 2
 
Dep Var: LN_WEIGHT   N: 341   Multiple R: 0.953   Squared multiple R: 0.908
 
Adjusted squared multiple R: 0.907   Standard error of estimate: 0.180

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.366		0.250		0.000		.		-45.449		0.000	
LN_SIZE		2.869		0.050		0.953		1.000		57.690		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		107.715		1		107.715		3328.161		0.000	
Residual		10.972		339		0.032			
 
Durbin-Watson D Statistic          1.303
First Order Autocorrelation        0.342
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Dragonet Com
   GROUP$       =
***ERROR***
No cases were found to process.
 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Five-bearded
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 24   Multiple R: 0.958   Squared multiple R: 0.918
 
Adjusted squared multiple R: 0.914   Standard error of estimate: 0.232

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-13.780		1.108		0.000		.		-12.432		0.000	
LN_SIZE		3.396		0.217		0.958		1.000		15.658		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		13.219		1		13.219		245.168		0.000	
Residual		1.186		22		0.054			
 
Durbin-Watson D Statistic          2.310
First Order Autocorrelation       -0.155
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Flounder
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 21   Multiple R: 0.987   Squared multiple R: 0.973
 
Adjusted squared multiple R: 0.972   Standard error of estimate: 0.145

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-10.856		0.575		0.000		.		-18.889		0.000	
LN_SIZE		2.890		0.110		0.987		1.000		26.309		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		14.484		1		14.484		692.153		0.000	
Residual		0.398		19		0.021			
 
Durbin-Watson D Statistic          2.399
First Order Autocorrelation       -0.231
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Goby sand
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 1571   Multiple R: 0.958   Squared multiple R: 0.918
 
Adjusted squared multiple R: 0.918   Standard error of estimate: 0.129

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-12.302		0.094		0.000		.		-131.374		0.000	
LN_SIZE		3.141		0.024		0.958		1.000		132.931		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		295.381		1		295.381		17670.587		0.000	
Residual		26.227		1569		0.017			
 
Durbin-Watson D Statistic          1.293
First Order Autocorrelation        0.353
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Gunard Tub
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 9   Multiple R: 0.998   Squared multiple R: 0.997
 
Adjusted squared multiple R: 0.996   Standard error of estimate: 0.075

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.482		0.323		0.000		.		-35.517		0.000	
LN_SIZE		2.991		0.066		0.998		1.000		45.330		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		11.444		1		11.444		2054.848		0.000	
Residual		0.039		7		0.006			
*** WARNING ***
Case         3402 is an outlier        (Studentized Residual =       -2.972)
Case         3403 has large leverage   (Leverage =        0.652)
 
Durbin-Watson D Statistic          1.917
First Order Autocorrelation       -0.138
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Gunnel
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 13   Multiple R: 0.986   Squared multiple R: 0.973
 
Adjusted squared multiple R: 0.971   Standard error of estimate: 0.086

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-12.109		0.727		0.000		.		-16.656		0.000	
LN_SIZE		2.926		0.147		0.986		1.000		19.939		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		2.953		1		2.953		397.547		0.000	
Residual		0.082		11		0.007			
*** WARNING ***
Case         3417 has large leverage   (Leverage =        0.587)
 
Durbin-Watson D Statistic          2.007
First Order Autocorrelation       -0.035
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Herring
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 2   Multiple R: 1.000   Squared multiple R: 1.000

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-10.873		0.000		0.000		.		.		.	
LN_SIZE		2.806		0.000		1.000		1.000		.		.	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		0.464		1		0.464		.		.	
Residual		0.000		0		0.000			
 
Residuals have not been saved due to errors.
 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Lemon sole
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 3   Multiple R: 0.966   Squared multiple R: 0.934
 
Adjusted squared multiple R: 0.868   Standard error of estimate: 0.082

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-13.280		4.329		0.000		.		-3.068		0.201	
LN_SIZE		3.357		0.893		0.966		1.000		3.758		0.166	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		0.096		1		0.096		14.119		0.166	
Residual		0.007		1		0.007			
*** WARNING ***
Case         3421 has large leverage   (Leverage =        0.438)
Case         3421 has large influence  (Cook distance =        0.389)
Case         3422 has large leverage   (Leverage =        0.571)
Case         3422 has large influence  (Cook distance =        0.666)
Case         3423 has large leverage   (Leverage =        0.991)
Case         3423 has large influence  (Cook distance =       54.976)
 
Durbin-Watson D Statistic          2.286
First Order Autocorrelation       -0.429
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Pipefish gre
   GROUP$       = 1
Unable to enter effect 2.
This effect may fail tolerance checks.

The following effects have lost degrees of freedom.

Effect	Initial df	Lost df	Final df	
LN_SIZE                       		1		1		0	
 
***ERROR***
There is no variation in your dependent variable(s).
 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Pipefish les
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 528   Multiple R: 0.949   Squared multiple R: 0.900
 
Adjusted squared multiple R: 0.900   Standard error of estimate: 0.153

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-16.412		0.228		0.000		.		-71.975		0.000	
LN_SIZE		3.344		0.049		0.949		1.000		68.785		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		110.372		1		110.372		4731.354		0.000	
Residual		12.270		526		0.023			
 
Durbin-Watson D Statistic          1.705
First Order Autocorrelation        0.136
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Pipefish sna
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 5   Multiple R: 0.974   Squared multiple R: 0.949
 
Adjusted squared multiple R: 0.932   Standard error of estimate: 0.221

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-18.492		2.702		0.000		.		-6.844		0.006	
LN_SIZE		3.468		0.464		0.974		1.000		7.468		0.005	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		2.717		1		2.717		55.767		0.005	
Residual		0.146		3		0.049			
*** WARNING ***
Case         3953 is an outlier        (Studentized Residual =        6.196)
 
Durbin-Watson D Statistic          2.201
First Order Autocorrelation       -0.410
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Plaice
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 92   Multiple R: 0.938   Squared multiple R: 0.880
 
Adjusted squared multiple R: 0.878   Standard error of estimate: 0.132

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.430		0.529		0.000		.		-21.607		0.000	
LN_SIZE		2.966		0.116		0.938		1.000		25.637		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		11.478		1		11.478		657.279		0.000	
Residual		1.572		90		0.017			
 
Durbin-Watson D Statistic          1.816
First Order Autocorrelation        0.090
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Plaice
   GROUP$       = 2
 
Dep Var: LN_WEIGHT   N: 186   Multiple R: 0.984   Squared multiple R: 0.969
 
Adjusted squared multiple R: 0.969   Standard error of estimate: 0.147

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.514		0.199		0.000		.		-57.750		0.000	
LN_SIZE		2.990		0.040		0.984		1.000		75.551		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		123.734		1		123.734		5707.992		0.000	
Residual		3.989		184		0.022			
*** WARNING ***
Case         4125 is an outlier        (Studentized Residual =        4.387)
Case         4222 has large leverage   (Leverage =        0.290)
 
Durbin-Watson D Statistic          1.613
First Order Autocorrelation        0.174
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Plaice
   GROUP$       =
***ERROR***
No cases were found to process.
 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Pogge
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 49   Multiple R: 0.761   Squared multiple R: 0.579
 
Adjusted squared multiple R: 0.570   Standard error of estimate: 0.120

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-7.955		0.781		0.000		.		-10.192		0.000	
LN_SIZE		1.947		0.242		0.761		1.000		8.036		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		0.932		1		0.932		64.573		0.000	
Residual		0.679		47		0.014			
 
Durbin-Watson D Statistic          1.711
First Order Autocorrelation        0.100
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Pogge
   GROUP$       = 2
 
Dep Var: LN_WEIGHT   N: 64   Multiple R: 0.964   Squared multiple R: 0.929
 
Adjusted squared multiple R: 0.928   Standard error of estimate: 0.085

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.523		0.455		0.000		.		-25.318		0.000	
LN_SIZE		2.945		0.103		0.964		1.000		28.499		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		5.853		1		5.853		812.173		0.000	
Residual		0.447		62		0.007			
 
Durbin-Watson D Statistic          1.948
First Order Autocorrelation        0.017
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Pogge
   GROUP$       = 3
 
Dep Var: LN_WEIGHT   N: 4   Multiple R: 0.903   Squared multiple R: 0.815
 
Adjusted squared multiple R: 0.722   Standard error of estimate: 0.077

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-10.237		4.372		0.000		.		-2.342		0.144	
LN_SIZE		2.684		0.905		0.903		1.000		2.965		0.097	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		0.052		1		0.052		8.792		0.097	
Residual		0.012		2		0.006			
*** WARNING ***
Case         4351 is an outlier        (Studentized Residual =       12.310)
Case         4352 is an outlier        (Studentized Residual =       -8.597)
 
Durbin-Watson D Statistic          2.398
First Order Autocorrelation       -0.472
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Pogge
   GROUP$       =
***ERROR***
No cases were found to process.
 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Sandeel grea
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 61   Multiple R: 0.987   Squared multiple R: 0.975
 
Adjusted squared multiple R: 0.975   Standard error of estimate: 0.186

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-13.165		0.307		0.000		.		-42.930		0.000	
LN_SIZE		3.048		0.064		0.987		1.000		47.995		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		79.427		1		79.427		2303.554		0.000	
Residual		2.034		59		0.034			
*** WARNING ***
Case         4417 is an outlier        (Studentized Residual =        6.853)
 
Durbin-Watson D Statistic          1.661
First Order Autocorrelation        0.167
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Sandeel grea
   GROUP$       =
***ERROR***
No cases were found to process.
 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Sandeel less
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 1005   Multiple R: 0.969   Squared multiple R: 0.939
 
Adjusted squared multiple R: 0.939   Standard error of estimate: 0.131

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.359		0.107		0.000		.		-106.485		0.000	
LN_SIZE		2.720		0.022		0.969		1.000		123.874		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		263.859		1		263.859		15344.648		0.000	
Residual		17.247		1003		0.017			
 
Durbin-Watson D Statistic          0.999
First Order Autocorrelation        0.498
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Scaldfish
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 206   Multiple R: 0.990   Squared multiple R: 0.980
 
Adjusted squared multiple R: 0.980   Standard error of estimate: 0.138

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-12.595		0.146		0.000		.		-86.519		0.000	
LN_SIZE		3.187		0.032		0.990		1.000		100.819		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		194.721		1		194.721		10164.491		0.000	
Residual		3.908		204		0.019			
 
Durbin-Watson D Statistic          1.835
First Order Autocorrelation        0.053
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Scaldfish
   GROUP$       = 2
 
Dep Var: LN_WEIGHT   N: 61   Multiple R: 0.645   Squared multiple R: 0.416
 
Adjusted squared multiple R: 0.406   Standard error of estimate: 0.135

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-14.552		2.658		0.000		.		-5.475		0.000	
LN_SIZE		3.604		0.556		0.645		1.000		6.483		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		0.768		1		0.768		42.031		0.000	
Residual		1.079		59		0.018			
 
Durbin-Watson D Statistic          1.976
First Order Autocorrelation        0.010
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Sea scorpion
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 41   Multiple R: 0.986   Squared multiple R: 0.973
 
Adjusted squared multiple R: 0.972   Standard error of estimate: 0.131

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.209		0.406		0.000		.		-27.597		0.000	
LN_SIZE		3.048		0.082		0.986		1.000		37.154		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		23.867		1		23.867		1380.395		0.000	
Residual		0.674		39		0.017			
 
Durbin-Watson D Statistic          1.872
First Order Autocorrelation        0.044
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Seabass
   GROUP$       = 1
Unable to enter effect 2.
This effect may fail tolerance checks.

The following effects have lost degrees of freedom.

Effect	Initial df	Lost df	Final df	
LN_SIZE                       		1		1		0	
 
***ERROR***
There is no variation in your dependent variable(s).
 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Seasnail com
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 13   Multiple R: 0.905   Squared multiple R: 0.819
 
Adjusted squared multiple R: 0.803   Standard error of estimate: 0.106

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-7.334		0.974		0.000		.		-7.530		0.000	
LN_SIZE		1.891		0.268		0.905		1.000		7.059		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		0.562		1		0.562		49.826		0.000	
Residual		0.124		11		0.011			
*** WARNING ***
Case         5743 is an outlier        (Studentized Residual =       -3.284)
 
Durbin-Watson D Statistic          2.000
First Order Autocorrelation       -0.075
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Seasnail mon
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 2   Multiple R: 1.000   Squared multiple R: 1.000

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.441		0.000		0.000		.		.		.	
LN_SIZE		3.040		0.000		1.000		1.000		.		.	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		6.579		1		6.579		.		.	
Residual		0.000		0		0.000			
 
Residuals have not been saved due to errors.
 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Sole
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 59   Multiple R: 0.950   Squared multiple R: 0.902
 
Adjusted squared multiple R: 0.901   Standard error of estimate: 0.129

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.946		0.642		0.000		.		-18.622		0.000	
LN_SIZE		3.064		0.133		0.950		1.000		22.957		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		8.807		1		8.807		527.030		0.000	
Residual		0.952		57		0.017			
*** WARNING ***
Case         5774 is an outlier        (Studentized Residual =        3.227)
 
Durbin-Watson D Statistic          2.245
First Order Autocorrelation       -0.138
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Sole
   GROUP$       = 2
 
Dep Var: LN_WEIGHT   N: 82   Multiple R: 0.951   Squared multiple R: 0.904
 
Adjusted squared multiple R: 0.903   Standard error of estimate: 0.143

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.938		0.594		0.000		.		-20.091		0.000	
LN_SIZE		3.054		0.111		0.951		1.000		27.419		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		15.357		1		15.357		751.825		0.000	
Residual		1.634		80		0.020			
*** WARNING ***
Case         5839 has large leverage   (Leverage =        0.153)
 
Durbin-Watson D Statistic          1.739
First Order Autocorrelation        0.126
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Solonette
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 912   Multiple R: 0.981   Squared multiple R: 0.962
 
Adjusted squared multiple R: 0.962   Standard error of estimate: 0.136

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-12.225		0.093		0.000		.		-130.949		0.000	
LN_SIZE		3.179		0.021		0.981		1.000		152.193		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		426.302		1		426.302		23162.672		0.000	
Residual		16.748		910		0.018			
 
Durbin-Watson D Statistic          1.602
First Order Autocorrelation        0.199
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Solonette
   GROUP$       =
***ERROR***
No cases were found to process.
 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Sprat
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 47   Multiple R: 0.906   Squared multiple R: 0.821
 
Adjusted squared multiple R: 0.817   Standard error of estimate: 0.140

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-10.794		0.845		0.000		.		-12.772		0.000	
LN_SIZE		2.786		0.194		0.906		1.000		14.352		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		4.020		1		4.020		205.970		0.000	
Residual		0.878		45		0.020			
*** WARNING ***
Case         6815 is an outlier        (Studentized Residual =        3.136)
 
Durbin-Watson D Statistic          1.862
First Order Autocorrelation        0.039
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Sprat
   GROUP$       = 2
 
Dep Var: LN_WEIGHT   N: 30   Multiple R: 0.894   Squared multiple R: 0.800
 
Adjusted squared multiple R: 0.793   Standard error of estimate: 0.092

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-9.490		1.111		0.000		.		-8.544		0.000	
LN_SIZE		2.514		0.238		0.894		1.000		10.576		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		0.955		1		0.955		111.862		0.000	
Residual		0.239		28		0.009			
 
Durbin-Watson D Statistic          1.873
First Order Autocorrelation       -0.044
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Weewer lesse
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 12   Multiple R: 0.882   Squared multiple R: 0.778
 
Adjusted squared multiple R: 0.756   Standard error of estimate: 0.196

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-16.025		3.281		0.000		.		-4.884		0.001	
LN_SIZE		3.939		0.666		0.882		1.000		5.918		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		1.347		1		1.347		35.026		0.000	
Residual		0.385		10		0.038			
 
Durbin-Watson D Statistic          1.831
First Order Autocorrelation       -0.048
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Weewer lesse
   GROUP$       =
***ERROR***
No cases were found to process.
 
The following results are for:
   SURVEY$      = PMV2 April
   NAME$        = Whiting
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 36   Multiple R: 0.908   Squared multiple R: 0.824
 
Adjusted squared multiple R: 0.819   Standard error of estimate: 0.131

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-10.415		1.155		0.000		.		-9.017		0.000	
LN_SIZE		2.748		0.218		0.908		1.000		12.628		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		2.721		1		2.721		159.459		0.000	
Residual		0.580		34		0.017			
 
Durbin-Watson D Statistic          1.718
First Order Autocorrelation        0.134
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Anchovy
   GROUP$       = 1
Unable to enter effect 2.
This effect may fail tolerance checks.

The following effects have lost degrees of freedom.

Effect	Initial df	Lost df	Final df	
LN_SIZE                       		1		1		0	
 
***ERROR***
There is no variation in your dependent variable(s).
 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Bib
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 1387   Multiple R: 0.989   Squared multiple R: 0.977
 
Adjusted squared multiple R: 0.977   Standard error of estimate: 0.081

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-12.337		0.062		0.000		.		-199.684		0.000	
LN_SIZE		3.210		0.013		0.989		1.000		243.461		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		393.088		1		393.088		59273.213		0.000	
Residual		9.185		1385		0.007			
*** WARNING ***
Case         7165 is an outlier        (Studentized Residual =       -4.973)
Case         7380 has large leverage   (Leverage =        0.019)
 
Durbin-Watson D Statistic          1.772
First Order Autocorrelation        0.113
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Brill
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 6   Multiple R: 0.992   Squared multiple R: 0.985
 
Adjusted squared multiple R: 0.981   Standard error of estimate: 0.092

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-9.329		0.867		0.000		.		-10.757		0.000	
LN_SIZE		2.674		0.165		0.992		1.000		16.200		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		2.232		1		2.232		262.440		0.000	
Residual		0.034		4		0.009			
*** WARNING ***
Case         8321 is an outlier        (Studentized Residual =       -2.020)
Case         8322 has large leverage   (Leverage =        0.709)
Case         8323 is an outlier        (Studentized Residual =        1.787)
 
Durbin-Watson D Statistic          1.762
First Order Autocorrelation       -0.097
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Cod
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 200   Multiple R: 0.990   Squared multiple R: 0.980
 
Adjusted squared multiple R: 0.980   Standard error of estimate: 0.083

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-13.352		0.164		0.000		.		-81.612		0.000	
LN_SIZE		3.389		0.034		0.990		1.000		99.700		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		68.600		1		68.600		9940.063		0.000	
Residual		1.366		198		0.007			
 
Durbin-Watson D Statistic          1.643
First Order Autocorrelation        0.177
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Dab
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 1550   Multiple R: 0.998   Squared multiple R: 0.996
 
Adjusted squared multiple R: 0.996   Standard error of estimate: 0.110

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.760		0.023		0.000		.		-519.217		0.000	
LN_SIZE		3.082		0.005		0.998		1.000		590.526		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		4195.452		1		4195.452		348721.490		0.000	
Residual		18.624		1548		0.012			
*** WARNING ***
Case         9058 is an outlier        (Studentized Residual =       -4.616)
Case         9350 is an outlier        (Studentized Residual =       -4.570)
Case         9581 is an outlier        (Studentized Residual =       -4.617)
Case         9583 is an outlier        (Studentized Residual =       -4.639)
Case         9604 is an outlier        (Studentized Residual =        4.491)
Case         9933 is an outlier        (Studentized Residual =        4.764)
 
Durbin-Watson D Statistic          1.461
First Order Autocorrelation        0.269
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Dab
   GROUP$       =
***ERROR***
No cases were found to process.
 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Dragonet Com
   GROUP$       = 3
 
Dep Var: LN_WEIGHT   N: 223   Multiple R: 0.899   Squared multiple R: 0.809
 
Adjusted squared multiple R: 0.808   Standard error of estimate: 0.141

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-8.991		0.350		0.000		.		-25.693		0.000	
LN_SIZE		2.370		0.077		0.899		1.000		30.594		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		18.689		1		18.689		935.992		0.000	
Residual		4.413		221		0.020			
 
Durbin-Watson D Statistic          1.700
First Order Autocorrelation        0.146
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Dragonet Com
   GROUP$       = 4
 
Dep Var: LN_WEIGHT   N: 793   Multiple R: 0.963   Squared multiple R: 0.928
 
Adjusted squared multiple R: 0.928   Standard error of estimate: 0.119

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-10.835		0.140		0.000		.		-77.515		0.000	
LN_SIZE		2.807		0.028		0.963		1.000		100.971		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		144.000		1		144.000		10195.233		0.000	
Residual		11.172		791		0.014			
*** WARNING ***
Case        10383 is an outlier        (Studentized Residual =       -5.739)
Case        10389 is an outlier        (Studentized Residual =       -4.428)
Case        10409 is an outlier        (Studentized Residual =       -4.405)
Case        10428 is an outlier        (Studentized Residual =       -5.173)
 
Durbin-Watson D Statistic          1.424
First Order Autocorrelation        0.280
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Five-bearded
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 7   Multiple R: 0.988   Squared multiple R: 0.976
 
Adjusted squared multiple R: 0.971   Standard error of estimate: 0.155

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.215		0.927		0.000		.		-12.103		0.000	
LN_SIZE		2.858		0.201		0.988		1.000		14.207		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		4.858		1		4.858		201.852		0.000	
Residual		0.120		5		0.024			
*** WARNING ***
Case        11096 is an outlier        (Studentized Residual =        2.430)
 
Durbin-Watson D Statistic          1.686
First Order Autocorrelation        0.037
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Flounder
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 25   Multiple R: 0.994   Squared multiple R: 0.988
 
Adjusted squared multiple R: 0.988   Standard error of estimate: 0.097

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.311		0.360		0.000		.		-31.459		0.000	
LN_SIZE		3.005		0.068		0.994		1.000		44.440		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		18.548		1		18.548		1974.945		0.000	
Residual		0.216		23		0.009			
*** WARNING ***
Case        11116 has large leverage   (Leverage =        0.471)
 
Durbin-Watson D Statistic          1.477
First Order Autocorrelation        0.236
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Garfish
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 5   Multiple R: 0.999   Squared multiple R: 0.998
 
Adjusted squared multiple R: 0.997   Standard error of estimate: 0.153

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-13.869		0.510		0.000		.		-27.187		0.000	
LN_SIZE		3.040		0.086		0.999		1.000		35.303		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		29.169		1		29.169		1246.315		0.000	
Residual		0.070		3		0.023			
*** WARNING ***
Case        11127 has large leverage   (Leverage =        0.964)
Case        11127 is an outlier        (Studentized Residual =        8.709)
Case        11127 has large influence  (Cook distance =       39.108)
Case        11128 is an outlier        (Studentized Residual =        5.964)
 
Durbin-Watson D Statistic          0.551
First Order Autocorrelation        0.349
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Goby painted
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 39   Multiple R: 0.933   Squared multiple R: 0.871
 
Adjusted squared multiple R: 0.867   Standard error of estimate: 0.106

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-8.969		0.615		0.000		.		-14.577		0.000	
LN_SIZE		2.360		0.150		0.933		1.000		15.782		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		2.820		1		2.820		249.070		0.000	
Residual		0.419		37		0.011			
 
Durbin-Watson D Statistic          1.896
First Order Autocorrelation       -0.000
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Goby sand
   GROUP$       = 2
 
Dep Var: LN_WEIGHT   N: 782   Multiple R: 0.968   Squared multiple R: 0.936
 
Adjusted squared multiple R: 0.936   Standard error of estimate: 0.123

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-12.222		0.120		0.000		.		-101.448		0.000	
LN_SIZE		3.145		0.029		0.968		1.000		107.199		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		174.318		1		174.318		11491.580		0.000	
Residual		11.832		780		0.015			
*** WARNING ***
Case        11493 is an outlier        (Studentized Residual =       -4.334)
Case        11495 has large leverage   (Leverage =        0.027)
 
Durbin-Watson D Statistic          1.712
First Order Autocorrelation        0.144
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Goby sand
   GROUP$       =
***ERROR***
No cases were found to process.
 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Goby transpa
   GROUP$       = 1
Unable to enter effect 2.
This effect may fail tolerance checks.

The following effects have lost degrees of freedom.

Effect	Initial df	Lost df	Final df	
LN_SIZE                       		1		1		0	
 
***ERROR***
There is no variation in your dependent variable(s).
 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Gunard Tub
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 3   Multiple R: 0.973   Squared multiple R: 0.947
 
Adjusted squared multiple R: 0.895   Standard error of estimate: 0.282

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.938		3.950		0.000		.		-3.022		0.203	
LN_SIZE		3.114		0.734		0.973		1.000		4.243		0.147	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		1.436		1		1.436		18.007		0.147	
Residual		0.080		1		0.080			
*** WARNING ***
Case        11953 has large influence  (Cook distance =        0.262)
Case        11954 has large leverage   (Leverage =        0.899)
Case        11954 has large influence  (Cook distance =        4.465)
Case        11955 has large leverage   (Leverage =        0.757)
Case        11955 has large influence  (Cook distance =        1.558)
 
Durbin-Watson D Statistic          1.302
First Order Autocorrelation       -0.101
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Gunnel
   GROUP$       = 1
Unable to enter effect 2.
This effect may fail tolerance checks.

The following effects have lost degrees of freedom.

Effect	Initial df	Lost df	Final df	
LN_SIZE                       		1		1		0	
 
***ERROR***
There is no variation in your dependent variable(s).
 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Lamprey rive
   GROUP$       = 1
Unable to enter effect 2.
This effect may fail tolerance checks.

The following effects have lost degrees of freedom.

Effect	Initial df	Lost df	Final df	
LN_SIZE                       		1		1		0	
 
***ERROR***
There is no variation in your dependent variable(s).
 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Lemon sole
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 7   Multiple R: 0.989   Squared multiple R: 0.977
 
Adjusted squared multiple R: 0.973   Standard error of estimate: 0.048

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-10.417		0.982		0.000		.		-10.605		0.000	
LN_SIZE		2.843		0.193		0.989		1.000		14.719		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		0.502		1		0.502		216.661		0.000	
Residual		0.012		5		0.002			
 
Durbin-Watson D Statistic          1.302
First Order Autocorrelation        0.237
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Mustelus ast
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 2   Multiple R: 1.000   Squared multiple R: 1.000

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-14.513		0.000		0.000		.		.		.	
LN_SIZE		3.337		0.000		1.000		1.000		.		.	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		1.438		1		1.438		.		.	
Residual		0.000		0		0.000			
 
Residuals have not been saved due to errors.
 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Pipefish gre
   GROUP$       = 1
Unable to enter effect 2.
This effect may fail tolerance checks.

The following effects have lost degrees of freedom.

Effect	Initial df	Lost df	Final df	
LN_SIZE                       		1		1		0	
 
***ERROR***
There is no variation in your dependent variable(s).
 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Pipefish les
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 121   Multiple R: 0.824   Squared multiple R: 0.678
 
Adjusted squared multiple R: 0.675   Standard error of estimate: 0.173

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-15.312		0.982		0.000		.		-15.594		0.000	
LN_SIZE		3.168		0.200		0.824		1.000		15.837		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		7.473		1		7.473		250.795		0.000	
Residual		3.546		119		0.030			
*** WARNING ***
Case        12066 has large leverage   (Leverage =        0.153)
 
Durbin-Watson D Statistic          1.852
First Order Autocorrelation        0.046
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Pipefish sna
   GROUP$       = 1
Unable to enter effect 2.
This effect may fail tolerance checks.

The following effects have lost degrees of freedom.

Effect	Initial df	Lost df	Final df	
LN_SIZE                       		1		1		0	
 
***ERROR***
There is no variation in your dependent variable(s).
 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Plaice
   GROUP$       = 3
 
Dep Var: LN_WEIGHT   N: 942   Multiple R: 0.986   Squared multiple R: 0.973
 
Adjusted squared multiple R: 0.973   Standard error of estimate: 0.085

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.673		0.074		0.000		.		-158.703		0.000	
LN_SIZE		3.065		0.017		0.986		1.000		182.817		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		238.745		1		238.745		33421.875		0.000	
Residual		6.715		940		0.007			
*** WARNING ***
Case        12136 is an outlier        (Studentized Residual =       -4.732)
Case        12216 is an outlier        (Studentized Residual =       -4.478)
Case        12525 is an outlier        (Studentized Residual =        4.250)
Case        12605 is an outlier        (Studentized Residual =       -5.492)
Case        12751 is an outlier        (Studentized Residual =        5.936)
Case        12785 is an outlier        (Studentized Residual =        4.565)
 
Durbin-Watson D Statistic          1.748
First Order Autocorrelation        0.126
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Plaice
   GROUP$       = 4
 
Dep Var: LN_WEIGHT   N: 278   Multiple R: 0.994   Squared multiple R: 0.987
 
Adjusted squared multiple R: 0.987   Standard error of estimate: 0.080

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.461		0.105		0.000		.		-109.579		0.000	
LN_SIZE		3.019		0.021		0.994		1.000		145.741		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		134.994		1		134.994		21240.341		0.000	
Residual		1.754		276		0.006			
 
Durbin-Watson D Statistic          1.885
First Order Autocorrelation        0.054
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Plaice
   GROUP$       =
***ERROR***
No cases were found to process.
 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Pogge
   GROUP$       = 4
 
Dep Var: LN_WEIGHT   N: 372   Multiple R: 0.935   Squared multiple R: 0.875
 
Adjusted squared multiple R: 0.874   Standard error of estimate: 0.087

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-9.814		0.200		0.000		.		-48.951		0.000	
LN_SIZE		2.547		0.050		0.935		1.000		50.848		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		19.767		1		19.767		2585.528		0.000	
Residual		2.829		370		0.008			
*** WARNING ***
Case        13545 is an outlier        (Studentized Residual =        5.186)
 
Durbin-Watson D Statistic          1.759
First Order Autocorrelation        0.120
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Pogge
   GROUP$       = 5
 
Dep Var: LN_WEIGHT   N: 138   Multiple R: 0.969   Squared multiple R: 0.940
 
Adjusted squared multiple R: 0.939   Standard error of estimate: 0.088

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-10.879		0.284		0.000		.		-38.265		0.000	
LN_SIZE		2.830		0.061		0.969		1.000		46.069		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		16.473		1		16.473		2122.373		0.000	
Residual		1.056		136		0.008			
 
Durbin-Watson D Statistic          2.043
First Order Autocorrelation       -0.023
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Sandeel grea
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 58   Multiple R: 0.969   Squared multiple R: 0.939
 
Adjusted squared multiple R: 0.938   Standard error of estimate: 0.100

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-9.481		0.439		0.000		.		-21.599		0.000	
LN_SIZE		2.385		0.081		0.969		1.000		29.453		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		8.714		1		8.714		867.459		0.000	
Residual		0.563		56		0.010			
*** WARNING ***
Case        13877 is an outlier        (Studentized Residual =        3.274)
 
Durbin-Watson D Statistic          1.827
First Order Autocorrelation        0.073
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Sandeel less
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 43   Multiple R: 0.913   Squared multiple R: 0.833
 
Adjusted squared multiple R: 0.829   Standard error of estimate: 0.133

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-10.653		0.934		0.000		.		-11.403		0.000	
LN_SIZE		2.608		0.182		0.913		1.000		14.324		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		3.638		1		3.638		205.182		0.000	
Residual		0.727		41		0.018			
*** WARNING ***
Case        13914 is an outlier        (Studentized Residual =       -3.160)
Case        13922 has large leverage   (Leverage =        0.579)
Case        13922 is an outlier        (Studentized Residual =       -4.061)
 
Durbin-Watson D Statistic          1.218
First Order Autocorrelation        0.377
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Scaldfish
   GROUP$       = 3
 
Dep Var: LN_WEIGHT   N: 145   Multiple R: 0.779   Squared multiple R: 0.607
 
Adjusted squared multiple R: 0.604   Standard error of estimate: 0.110

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-10.527		0.828		0.000		.		-12.707		0.000	
LN_SIZE		2.750		0.185		0.779		1.000		14.851		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		2.678		1		2.678		220.551		0.000	
Residual		1.736		143		0.012			
 
Durbin-Watson D Statistic          1.025
First Order Autocorrelation        0.471
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Scaldfish
   GROUP$       = 4
 
Dep Var: LN_WEIGHT   N: 265   Multiple R: 0.956   Squared multiple R: 0.914
 
Adjusted squared multiple R: 0.914   Standard error of estimate: 0.112

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-10.556		0.248		0.000		.		-42.650		0.000	
LN_SIZE		2.759		0.052		0.956		1.000		53.031		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		35.499		1		35.499		2812.274		0.000	
Residual		3.320		263		0.013			
*** WARNING ***
Case        14317 is an outlier        (Studentized Residual =       -5.040)
Case        14326 has large leverage   (Leverage =        0.098)
 
Durbin-Watson D Statistic          1.772
First Order Autocorrelation        0.113
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Sea scorpion
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 47   Multiple R: 0.988   Squared multiple R: 0.976
 
Adjusted squared multiple R: 0.976   Standard error of estimate: 0.102

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.408		0.368		0.000		.		-31.037		0.000	
LN_SIZE		3.089		0.072		0.988		1.000		42.827		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		19.198		1		19.198		1834.173		0.000	
Residual		0.471		45		0.010			
*** WARNING ***
Case        14340 has large leverage   (Leverage =        0.713)
Case        14351 is an outlier        (Studentized Residual =       -3.610)
 
Durbin-Watson D Statistic          2.017
First Order Autocorrelation       -0.015
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Seasnail mon
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 472   Multiple R: 0.967   Squared multiple R: 0.935
 
Adjusted squared multiple R: 0.934   Standard error of estimate: 0.110

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-10.699		0.148		0.000		.		-72.431		0.000	
LN_SIZE		2.945		0.036		0.967		1.000		81.961		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		80.720		1		80.720		6717.524		0.000	
Residual		5.648		470		0.012			
*** WARNING ***
Case        14593 is an outlier        (Studentized Residual =        4.135)
 
Durbin-Watson D Statistic          1.594
First Order Autocorrelation        0.201
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Sole
   GROUP$       = 3
 
Dep Var: LN_WEIGHT   N: 229   Multiple R: 0.978   Squared multiple R: 0.957
 
Adjusted squared multiple R: 0.957   Standard error of estimate: 0.113

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.336		0.183		0.000		.		-62.025		0.000	
LN_SIZE		2.950		0.041		0.978		1.000		71.262		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		64.564		1		64.564		5078.312		0.000	
Residual		2.886		227		0.013			
*** WARNING ***
Case        14940 is an outlier        (Studentized Residual =        3.880)
 
Durbin-Watson D Statistic          1.777
First Order Autocorrelation        0.110
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Sole
   GROUP$       = 4
 
Dep Var: LN_WEIGHT   N: 153   Multiple R: 0.930   Squared multiple R: 0.865
 
Adjusted squared multiple R: 0.864   Standard error of estimate: 0.084

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.265		0.483		0.000		.		-23.307		0.000	
LN_SIZE		2.939		0.094		0.930		1.000		31.142		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		6.888		1		6.888		969.835		0.000	
Residual		1.072		151		0.007			
*** WARNING ***
Case        15106 has large leverage   (Leverage =        0.092)
 
Durbin-Watson D Statistic          1.337
First Order Autocorrelation        0.303
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Sole
   GROUP$       = 5
 
Dep Var: LN_WEIGHT   N: 341   Multiple R: 0.966   Squared multiple R: 0.934
 
Adjusted squared multiple R: 0.933   Standard error of estimate: 0.092

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-12.370		0.248		0.000		.		-49.897		0.000	
LN_SIZE		3.150		0.046		0.966		1.000		69.012		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		40.701		1		40.701		4762.713		0.000	
Residual		2.897		339		0.009			
 
Durbin-Watson D Statistic          1.810
First Order Autocorrelation        0.093
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Solonette
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 1209   Multiple R: 0.980   Squared multiple R: 0.960
 
Adjusted squared multiple R: 0.960   Standard error of estimate: 0.099

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.761		0.081		0.000		.		-145.974		0.000	
LN_SIZE		3.086		0.018		0.980		1.000		171.259		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		290.023		1		290.023		29329.735		0.000	
Residual		11.935		1207		0.010			
 
Durbin-Watson D Statistic          1.616
First Order Autocorrelation        0.192
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Sprat
   GROUP$       = 3
 
Dep Var: LN_WEIGHT   N: 154   Multiple R: 0.971   Squared multiple R: 0.943
 
Adjusted squared multiple R: 0.942   Standard error of estimate: 0.106

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.855		0.243		0.000		.		-48.812		0.000	
LN_SIZE		2.976		0.059		0.971		1.000		50.029		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		28.343		1		28.343		2502.921		0.000	
Residual		1.721		152		0.011			
 
Durbin-Watson D Statistic          1.548
First Order Autocorrelation        0.220
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Sprat
   GROUP$       = 4
 
Dep Var: LN_WEIGHT   N: 12   Multiple R: 0.933   Squared multiple R: 0.870
 
Adjusted squared multiple R: 0.857   Standard error of estimate: 0.080

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-14.259		2.023		0.000		.		-7.050		0.000	
LN_SIZE		3.554		0.434		0.933		1.000		8.191		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		0.426		1		0.426		67.088		0.000	
Residual		0.064		10		0.006			
*** WARNING ***
Case        16947 has large leverage   (Leverage =        0.849)
 
Durbin-Watson D Statistic          1.676
First Order Autocorrelation        0.105
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Sprat
   GROUP$       =
***ERROR***
No cases were found to process.
 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Striped Red
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 8   Multiple R: 0.946   Squared multiple R: 0.895
 
Adjusted squared multiple R: 0.878   Standard error of estimate: 0.092

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.273		2.172		0.000		.		-5.189		0.002	
LN_SIZE		3.007		0.420		0.946		1.000		7.167		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		0.436		1		0.436		51.360		0.000	
Residual		0.051		6		0.008			
*** WARNING ***
Case        16965 is an outlier        (Studentized Residual =        3.049)
 
Durbin-Watson D Statistic          1.616
First Order Autocorrelation       -0.105
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Turbot
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 7   Multiple R: 0.999   Squared multiple R: 0.999
 
Adjusted squared multiple R: 0.999   Standard error of estimate: 0.065

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-10.529		0.212		0.000		.		-49.732		0.000	
LN_SIZE		2.935		0.042		0.999		1.000		70.194		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		20.523		1		20.523		4927.142		0.000	
Residual		0.021		5		0.004			
*** WARNING ***
Case        16971 has large leverage   (Leverage =        0.844)
 
Durbin-Watson D Statistic          2.158
First Order Autocorrelation       -0.187
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Weewer lesse
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 47   Multiple R: 0.982   Squared multiple R: 0.965
 
Adjusted squared multiple R: 0.964   Standard error of estimate: 0.099

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.383		0.411		0.000		.		-27.722		0.000	
LN_SIZE		3.004		0.085		0.982		1.000		35.138		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		12.193		1		12.193		1234.647		0.000	
Residual		0.444		45		0.010			
*** WARNING ***
Case        16973 has large leverage   (Leverage =        0.235)
Case        17019 has large leverage   (Leverage =        0.258)
 
Durbin-Watson D Statistic          1.720
First Order Autocorrelation        0.111
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 July
   NAME$        = Whiting
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 1091   Multiple R: 0.992   Squared multiple R: 0.983
 
Adjusted squared multiple R: 0.983   Standard error of estimate: 0.093

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-12.181		0.060		0.000		.		-203.656		0.000	
LN_SIZE		3.107		0.012		0.992		1.000		254.633		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		559.644		1		559.644		64837.953		0.000	
Residual		9.400		1089		0.009			
 
Durbin-Watson D Statistic          1.774
First Order Autocorrelation        0.113
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Atlantic hor
   GROUP$       = 1
Unable to enter effect 2.
This effect may fail tolerance checks.

The following effects have lost degrees of freedom.

Effect	Initial df	Lost df	Final df	
LN_SIZE                       		1		1		0	
 
***ERROR***
There is no variation in your dependent variable(s).
 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Bib
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 319   Multiple R: 0.980   Squared multiple R: 0.960
 
Adjusted squared multiple R: 0.959   Standard error of estimate: 0.081

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-13.560		0.206		0.000		.		-65.813		0.000	
LN_SIZE		3.442		0.040		0.980		1.000		86.778		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		49.587		1		49.587		7530.390		0.000	
Residual		2.087		317		0.007			
*** WARNING ***
Case        18358 has large leverage   (Leverage =        0.210)
 
Durbin-Watson D Statistic          1.765
First Order Autocorrelation        0.116
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Bib
   GROUP$       =
***ERROR***
No cases were found to process.
 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Brill
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 2   Multiple R: 1.000   Squared multiple R: 1.000

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-8.436		0.000		0.000		.		.		.	
LN_SIZE		2.429		0.000		1.000		1.000		.		.	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		1.759		1		1.759		.		.	
Residual		0.000		0		0.000			
 
Residuals have not been saved due to errors.
 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Cod
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 78   Multiple R: 0.984   Squared multiple R: 0.968
 
Adjusted squared multiple R: 0.967   Standard error of estimate: 0.104

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-13.117		0.372		0.000		.		-35.277		0.000	
LN_SIZE		3.323		0.069		0.984		1.000		47.859		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		24.977		1		24.977		2290.453		0.000	
Residual		0.829		76		0.011			
*** WARNING ***
Case        18507 has large leverage   (Leverage =        0.252)
Case        18507 is an outlier        (Studentized Residual =       -3.379)
 
Durbin-Watson D Statistic          1.273
First Order Autocorrelation        0.333
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Cod
   GROUP$       =
***ERROR***
No cases were found to process.
 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Dab
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 1644   Multiple R: 0.998   Squared multiple R: 0.996
 
Adjusted squared multiple R: 0.996   Standard error of estimate: 0.082

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.814		0.023		0.000		.		-503.904		0.000	
LN_SIZE		3.084		0.005		0.998		1.000		621.040		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		2565.971		1		2565.971		385690.530		0.000	
Residual		10.924		1642		0.007			
*** WARNING ***
Case        18831 is an outlier        (Studentized Residual =        6.909)
Case        19732 is an outlier        (Studentized Residual =       -5.144)
Case        19742 is an outlier        (Studentized Residual =       -7.117)
Case        19748 is an outlier        (Studentized Residual =       -7.144)
 
Durbin-Watson D Statistic          1.484
First Order Autocorrelation        0.258
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Dab
   GROUP$       =
***ERROR***
No cases were found to process.
 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Dragonet Com
   GROUP$       = 5
 
Dep Var: LN_WEIGHT   N: 169   Multiple R: 0.971   Squared multiple R: 0.944
 
Adjusted squared multiple R: 0.943   Standard error of estimate: 0.078

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.688		0.246		0.000		.		-47.478		0.000	
LN_SIZE		2.974		0.056		0.971		1.000		52.923		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		17.054		1		17.054		2800.864		0.000	
Residual		1.017		167		0.006			
*** WARNING ***
Case        20211 is an outlier        (Studentized Residual =       -3.620)
 
Durbin-Watson D Statistic          1.640
First Order Autocorrelation        0.155
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Dragonet Com
   GROUP$       = 6
 
Dep Var: LN_WEIGHT   N: 329   Multiple R: 0.942   Squared multiple R: 0.887
 
Adjusted squared multiple R: 0.886   Standard error of estimate: 0.110

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-13.677		0.319		0.000		.		-42.846		0.000	
LN_SIZE		3.417		0.068		0.942		1.000		50.590		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		31.117		1		31.117		2559.386		0.000	
Residual		3.976		327		0.012			
*** WARNING ***
Case        20530 is an outlier        (Studentized Residual =       -4.185)
 
Durbin-Watson D Statistic          1.138
First Order Autocorrelation        0.424
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Dragonet Com
   GROUP$       = 7
 
Dep Var: LN_WEIGHT   N: 459   Multiple R: 0.968   Squared multiple R: 0.938
 
Adjusted squared multiple R: 0.937   Standard error of estimate: 0.099

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-10.605		0.174		0.000		.		-60.812		0.000	
LN_SIZE		2.790		0.034		0.968		1.000		82.829		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		67.128		1		67.128		6860.700		0.000	
Residual		4.471		457		0.010			
*** WARNING ***
Case        20729 is an outlier        (Studentized Residual =       -4.242)
Case        21051 is an outlier        (Studentized Residual =        4.476)
 
Durbin-Watson D Statistic          1.558
First Order Autocorrelation        0.220
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Eel
   GROUP$       = 1
Unable to enter effect 2.
This effect may fail tolerance checks.

The following effects have lost degrees of freedom.

Effect	Initial df	Lost df	Final df	
LN_SIZE                       		1		1		0	
 
***ERROR***
There is no variation in your dependent variable(s).
 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Five-bearded
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 117   Multiple R: 0.987   Squared multiple R: 0.974
 
Adjusted squared multiple R: 0.974   Standard error of estimate: 0.101

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-12.388		0.238		0.000		.		-52.020		0.000	
LN_SIZE		3.144		0.048		0.987		1.000		65.503		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		44.046		1		44.046		4290.655		0.000	
Residual		1.181		115		0.010			
*** WARNING ***
Case        21195 is an outlier        (Studentized Residual =        4.765)
Case        21204 is an outlier        (Studentized Residual =        3.961)
 
Durbin-Watson D Statistic          2.199
First Order Autocorrelation       -0.106
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Flounder
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 11   Multiple R: 0.987   Squared multiple R: 0.974
 
Adjusted squared multiple R: 0.971   Standard error of estimate: 0.203

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-12.019		0.942		0.000		.		-12.761		0.000	
LN_SIZE		3.124		0.171		0.987		1.000		18.286		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		13.745		1		13.745		334.378		0.000	
Residual		0.370		9		0.041			
*** WARNING ***
Case        21237 is an outlier        (Studentized Residual =       -3.832)
Case        21239 has large leverage   (Leverage =        0.662)
Case        21240 is an outlier        (Studentized Residual =        2.631)
 
Durbin-Watson D Statistic          2.461
First Order Autocorrelation       -0.234
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Garfish
   GROUP$       = 1
Unable to enter effect 2.
This effect may fail tolerance checks.

The following effects have lost degrees of freedom.

Effect	Initial df	Lost df	Final df	
LN_SIZE                       		1		1		0	
 
***ERROR***
There is no variation in your dependent variable(s).
 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Goby painted
   GROUP$       = 1
Unable to enter effect 2.
This effect may fail tolerance checks.

The following effects have lost degrees of freedom.

Effect	Initial df	Lost df	Final df	
LN_SIZE                       		1		1		0	

Dep Var: LN_WEIGHT   N: 2   Multiple R: 0.000   Squared multiple R: 0.000
 
Adjusted squared multiple R: 0.000   Standard error of estimate: 0.058

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-0.316		0.041		0.000		.		-7.674		0.082	
LN_SIZE		.		.		.		.		.		.	
*** WARNING ***
Case        21248 has large influence  (Cook distance =        1.000)
Case        21249 has large influence  (Cook distance =        1.000)
 
Durbin-Watson D Statistic          2.000
First Order Autocorrelation       -0.500
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Goby sand
   GROUP$       = 3
 
Dep Var: LN_WEIGHT   N: 1127   Multiple R: 0.974   Squared multiple R: 0.949
 
Adjusted squared multiple R: 0.949   Standard error of estimate: 0.097

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-12.545		0.090		0.000		.		-139.004		0.000	
LN_SIZE		3.220		0.022		0.974		1.000		144.545		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		198.101		1		198.101		20893.218		0.000	
Residual		10.667		1125		0.009			
*** WARNING ***
Case        21446 is an outlier        (Studentized Residual =       -4.765)
Case        22250 is an outlier        (Studentized Residual =        4.596)
 
Durbin-Watson D Statistic          1.397
First Order Autocorrelation        0.300
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Goby sand
   GROUP$       = 4
 
Dep Var: LN_WEIGHT   N: 569   Multiple R: 0.922   Squared multiple R: 0.849
 
Adjusted squared multiple R: 0.849   Standard error of estimate: 0.099

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-13.919		0.272		0.000		.		-51.079		0.000	
LN_SIZE		3.549		0.063		0.922		1.000		56.534		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		31.504		1		31.504		3196.062		0.000	
Residual		5.589		567		0.010			
 
Durbin-Watson D Statistic          1.318
First Order Autocorrelation        0.339
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Goby sand
   GROUP$       =
***ERROR***
No cases were found to process.
 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Goby transpa
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 5   Multiple R: 0.427   Squared multiple R: 0.182
 
Adjusted squared multiple R: 0.000   Standard error of estimate: 0.320

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-0.609		1.529		0.000		.		-0.398		0.717	
LN_SIZE		0.290		0.355		0.427		1.000		0.818		0.473	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		0.068		1		0.068		0.670		0.473	
Residual		0.307		3		0.102			
*** WARNING ***
Case        22948 has large leverage   (Leverage =        0.960)
Case        22948 is an outlier        (Studentized Residual =       -8.466)
Case        22948 has large influence  (Cook distance =       35.270)
Case        22950 is an outlier        (Studentized Residual =        4.708)
 
Durbin-Watson D Statistic          2.770
First Order Autocorrelation       -0.407
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Gunard Tub
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 81   Multiple R: 0.996   Squared multiple R: 0.991
 
Adjusted squared multiple R: 0.991   Standard error of estimate: 0.081

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-10.794		0.146		0.000		.		-74.012		0.000	
LN_SIZE		2.877		0.031		0.996		1.000		94.119		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		58.065		1		58.065		8858.301		0.000	
Residual		0.518		79		0.007			
*** WARNING ***
Case        22999 is an outlier        (Studentized Residual =       -4.197)
 
Durbin-Watson D Statistic          1.686
First Order Autocorrelation        0.155
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Gunnel
   GROUP$       = 1
Unable to enter effect 2.
This effect may fail tolerance checks.

The following effects have lost degrees of freedom.

Effect	Initial df	Lost df	Final df	
LN_SIZE                       		1		1		0	
 
***ERROR***
There is no variation in your dependent variable(s).
 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Herring
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 5   Multiple R: 0.962   Squared multiple R: 0.925
 
Adjusted squared multiple R: 0.900   Standard error of estimate: 0.081

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.655		2.138		0.000		.		-5.452		0.012	
LN_SIZE		2.926		0.482		0.962		1.000		6.069		0.009	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		0.243		1		0.243		36.834		0.009	
Residual		0.020		3		0.007			
*** WARNING ***
Case        23035 is an outlier        (Studentized Residual =        1.667)
Case        23039 has large leverage   (Leverage =        0.717)
 
Durbin-Watson D Statistic          0.844
First Order Autocorrelation        0.319
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Lamprey rive
   GROUP$       = 1
Unable to enter effect 2.
This effect may fail tolerance checks.

The following effects have lost degrees of freedom.

Effect	Initial df	Lost df	Final df	
LN_SIZE                       		1		1		0	
 
***ERROR***
There is no variation in your dependent variable(s).
 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Lemon sole
   GROUP$       = 1
Unable to enter effect 2.
This effect may fail tolerance checks.

The following effects have lost degrees of freedom.

Effect	Initial df	Lost df	Final df	
LN_SIZE                       		1		1		0	
 
***ERROR***
There is no variation in your dependent variable(s).
 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Pipefish gre
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 3   Multiple R: 0.991   Squared multiple R: 0.982
 
Adjusted squared multiple R: 0.965   Standard error of estimate: 0.107

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-16.523		2.655		0.000		.		-6.224		0.101	
LN_SIZE		3.385		0.455		0.991		1.000		7.443		0.085	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		0.634		1		0.634		55.395		0.085	
Residual		0.011		1		0.011			
*** WARNING ***
Case        23042 has large leverage   (Leverage =        0.687)
Case        23042 has large influence  (Cook distance =        1.097)
Case        23043 has large influence  (Cook distance =        0.292)
Case        23044 has large leverage   (Leverage =        0.945)
Case        23044 has large influence  (Cook distance =        8.544)
 
Durbin-Watson D Statistic          2.895
First Order Autocorrelation       -0.632
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Pipefish les
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 114   Multiple R: 0.992   Squared multiple R: 0.984
 
Adjusted squared multiple R: 0.984   Standard error of estimate: 0.136

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-17.162		0.198		0.000		.		-86.509		0.000	
LN_SIZE		3.508		0.042		0.992		1.000		83.405		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		128.942		1		128.942		6956.400		0.000	
Residual		2.076		112		0.019			
 
Durbin-Watson D Statistic          1.778
First Order Autocorrelation        0.103
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Pipefish sna
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 5   Multiple R: 0.968   Squared multiple R: 0.937
 
Adjusted squared multiple R: 0.916   Standard error of estimate: 0.091

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.524		1.949		0.000		.		-5.911		0.010	
LN_SIZE		2.276		0.340		0.968		1.000		6.700		0.007	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		0.371		1		0.371		44.895		0.007	
Residual		0.025		3		0.008			
*** WARNING ***
Case        23160 is an outlier        (Studentized Residual =       -2.576)
Case        23162 has large leverage   (Leverage =        0.827)
 
Durbin-Watson D Statistic          2.624
First Order Autocorrelation       -0.483
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Plaice
   GROUP$       = 5
 
Dep Var: LN_WEIGHT   N: 821   Multiple R: 0.995   Squared multiple R: 0.991
 
Adjusted squared multiple R: 0.990   Standard error of estimate: 0.070

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.544		0.051		0.000		.		-228.400		0.000	
LN_SIZE		3.020		0.010		0.995		1.000		292.337		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		413.115		1		413.115		85461.107		0.000	
Residual		3.959		819		0.005			
*** WARNING ***
Case        23171 is an outlier        (Studentized Residual =        6.429)
Case        23581 is an outlier        (Studentized Residual =       -5.055)
Case        23624 is an outlier        (Studentized Residual =        5.449)
 
Durbin-Watson D Statistic          1.818
First Order Autocorrelation        0.091
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Pogge
   GROUP$       = 6
 
Dep Var: LN_WEIGHT   N: 656   Multiple R: 0.955   Squared multiple R: 0.913
 
Adjusted squared multiple R: 0.913   Standard error of estimate: 0.082

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-10.674		0.146		0.000		.		-73.336		0.000	
LN_SIZE		2.772		0.034		0.955		1.000		82.732		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		45.949		1		45.949		6844.593		0.000	
Residual		4.390		654		0.007			
*** WARNING ***
Case        24171 has large leverage   (Leverage =        0.030)
Case        24196 is an outlier        (Studentized Residual =       -4.949)
 
Durbin-Watson D Statistic          1.530
First Order Autocorrelation        0.235
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Pogge
   GROUP$       = 7
 
Dep Var: LN_WEIGHT   N: 165   Multiple R: 0.951   Squared multiple R: 0.905
 
Adjusted squared multiple R: 0.904   Standard error of estimate: 0.090

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.711		0.360		0.000		.		-32.492		0.000	
LN_SIZE		3.012		0.076		0.951		1.000		39.381		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		12.561		1		12.561		1550.884		0.000	
Residual		1.320		163		0.008			
 
Durbin-Watson D Statistic          1.873
First Order Autocorrelation        0.045
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Pogge
   GROUP$       =
***ERROR***
No cases were found to process.
 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Sandeel grea
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 15   Multiple R: 0.821   Squared multiple R: 0.675
 
Adjusted squared multiple R: 0.650   Standard error of estimate: 0.222

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-7.430		2.069		0.000		.		-3.591		0.003	
LN_SIZE		1.988		0.383		0.821		1.000		5.194		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		1.328		1		1.328		26.982		0.000	
Residual		0.640		13		0.049			
*** WARNING ***
Case        24815 is an outlier        (Studentized Residual =        6.304)
 
Durbin-Watson D Statistic          1.919
First Order Autocorrelation        0.017
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Sandeel less
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 70   Multiple R: 0.934   Squared multiple R: 0.873
 
Adjusted squared multiple R: 0.871   Standard error of estimate: 0.214

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-12.564		0.700		0.000		.		-17.947		0.000	
LN_SIZE		2.967		0.137		0.934		1.000		21.648		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		21.523		1		21.523		468.618		0.000	
Residual		3.123		68		0.046			
*** WARNING ***
Case        24874 has large leverage   (Leverage =        0.313)
Case        24875 has large leverage   (Leverage =        0.368)
 
Durbin-Watson D Statistic          1.496
First Order Autocorrelation        0.251
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Sandeel less
   GROUP$       =
***ERROR***
No cases were found to process.
 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Sand-smelt
   GROUP$       = 1
Unable to enter effect 2.
This effect may fail tolerance checks.

The following effects have lost degrees of freedom.

Effect	Initial df	Lost df	Final df	
LN_SIZE                       		1		1		0	
 
***ERROR***
There is no variation in your dependent variable(s).
 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Scaldfish
   GROUP$       = 5
 
Dep Var: LN_WEIGHT   N: 143   Multiple R: 0.969   Squared multiple R: 0.939
 
Adjusted squared multiple R: 0.939   Standard error of estimate: 0.110

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-12.959		0.298		0.000		.		-43.529		0.000	
LN_SIZE		3.301		0.071		0.969		1.000		46.686		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		26.534		1		26.534		2179.617		0.000	
Residual		1.716		141		0.012			
*** WARNING ***
Case        24946 is an outlier        (Studentized Residual =       -4.229)
 
Durbin-Watson D Statistic          1.130
First Order Autocorrelation        0.432
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Scaldfish
   GROUP$       = 6
 
Dep Var: LN_WEIGHT   N: 726   Multiple R: 0.949   Squared multiple R: 0.900
 
Adjusted squared multiple R: 0.900   Standard error of estimate: 0.103

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-12.104		0.185		0.000		.		-65.507		0.000	
LN_SIZE		3.115		0.039		0.949		1.000		80.868		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		69.536		1		69.536		6539.670		0.000	
Residual		7.698		724		0.011			
*** WARNING ***
Case        25088 is an outlier        (Studentized Residual =       -4.867)
Case        25195 is an outlier        (Studentized Residual =       -5.068)
Case        25369 is an outlier        (Studentized Residual =       -4.817)
Case        25672 is an outlier        (Studentized Residual =       -5.688)
 
Durbin-Watson D Statistic          1.857
First Order Autocorrelation        0.071
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Scaldfish
   GROUP$       =
***ERROR***
No cases were found to process.
 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Sea scorpion
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 52   Multiple R: 0.990   Squared multiple R: 0.981
 
Adjusted squared multiple R: 0.981   Standard error of estimate: 0.111

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.020		0.300		0.000		.		-36.761		0.000	
LN_SIZE		3.016		0.059		0.990		1.000		50.912		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		32.026		1		32.026		2592.013		0.000	
Residual		0.618		50		0.012			
 
Durbin-Watson D Statistic          1.477
First Order Autocorrelation        0.260
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Sea-bream bl
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 3   Multiple R: 0.996   Squared multiple R: 0.992
 
Adjusted squared multiple R: 0.984   Standard error of estimate: 0.041

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.323		1.236		0.000		.		-9.160		0.069	
LN_SIZE		3.058		0.278		0.996		1.000		11.012		0.058	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		0.206		1		0.206		121.257		0.058	
Residual		0.002		1		0.002			
*** WARNING ***
Case        25816 has large influence  (Cook distance =        0.251)
Case        25817 has large leverage   (Leverage =        0.850)
Case        25817 has large influence  (Cook distance =        2.844)
Case        25818 has large leverage   (Leverage =        0.816)
Case        25818 has large influence  (Cook distance =        2.211)
 
Durbin-Watson D Statistic          1.449
First Order Autocorrelation       -0.150
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Seasnail mon
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 96   Multiple R: 0.960   Squared multiple R: 0.922
 
Adjusted squared multiple R: 0.921   Standard error of estimate: 0.112

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.599		0.433		0.000		.		-26.804		0.000	
LN_SIZE		3.147		0.095		0.960		1.000		33.258		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		13.781		1		13.781		1106.104		0.000	
Residual		1.171		94		0.012			
*** WARNING ***
Case        25911 has large leverage   (Leverage =        0.239)
 
Durbin-Watson D Statistic          1.634
First Order Autocorrelation        0.169
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Smelt
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 2   Multiple R: 1.000   Squared multiple R: 1.000

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-29.750		0.000		0.000		.		.		.	
LN_SIZE		6.719		0.000		1.000		1.000		.		.	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		0.126		1		0.126		.		.	
Residual		0.000		0		0.000			
 
Residuals have not been saved due to errors.
 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Sole
   GROUP$       = 6
 
Dep Var: LN_WEIGHT   N: 12   Multiple R: 0.947   Squared multiple R: 0.897
 
Adjusted squared multiple R: 0.887   Standard error of estimate: 0.161

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-12.806		1.523		0.000		.		-8.408		0.000	
LN_SIZE		3.282		0.352		0.947		1.000		9.329		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		2.264		1		2.264		87.027		0.000	
Residual		0.260		10		0.026			
 
Durbin-Watson D Statistic          2.404
First Order Autocorrelation       -0.318
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Sole
   GROUP$       = 7
 
Dep Var: LN_WEIGHT   N: 341   Multiple R: 0.981   Squared multiple R: 0.962
 
Adjusted squared multiple R: 0.962   Standard error of estimate: 0.078

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-12.613		0.172		0.000		.		-73.139		0.000	
LN_SIZE		3.203		0.035		0.981		1.000		92.469		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		52.527		1		52.527		8550.550		0.000	
Residual		2.083		339		0.006			
*** WARNING ***
Case        26000 is an outlier        (Studentized Residual =        4.049)
 
Durbin-Watson D Statistic          1.787
First Order Autocorrelation        0.105
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Sole
   GROUP$       = 8
 
Dep Var: LN_WEIGHT   N: 60   Multiple R: 0.975   Squared multiple R: 0.950
 
Adjusted squared multiple R: 0.949   Standard error of estimate: 0.071

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-12.051		0.502		0.000		.		-23.997		0.000	
LN_SIZE		3.092		0.093		0.975		1.000		33.234		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		5.626		1		5.626		1104.475		0.000	
Residual		0.295		58		0.005			
 
Durbin-Watson D Statistic          1.950
First Order Autocorrelation        0.013
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Sole
   GROUP$       = 9
 
Dep Var: LN_WEIGHT   N: 34   Multiple R: 0.924   Squared multiple R: 0.854
 
Adjusted squared multiple R: 0.850   Standard error of estimate: 0.076

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-13.958		1.422		0.000		.		-9.816		0.000	
LN_SIZE		3.440		0.251		0.924		1.000		13.696		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		1.093		1		1.093		187.579		0.000	
Residual		0.186		32		0.006			
*** WARNING ***
Case        26331 is an outlier        (Studentized Residual =        3.394)
 
Durbin-Watson D Statistic          1.389
First Order Autocorrelation        0.288
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Solonette
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 1127   Multiple R: 0.981   Squared multiple R: 0.962
 
Adjusted squared multiple R: 0.962   Standard error of estimate: 0.089

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-12.636		0.088		0.000		.		-143.173		0.000	
LN_SIZE		3.284		0.019		0.981		1.000		168.841		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		226.442		1		226.442		28507.181		0.000	
Residual		8.936		1125		0.008			
*** WARNING ***
Case        26483 is an outlier        (Studentized Residual =       -5.561)
Case        26723 has large leverage   (Leverage =        0.019)
Case        26831 is an outlier        (Studentized Residual =       -5.018)
Case        27088 has large leverage   (Leverage =        0.031)
 
Durbin-Watson D Statistic          1.783
First Order Autocorrelation        0.108
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Solonette
   GROUP$       =
***ERROR***
No cases were found to process.
 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Sprat
   GROUP$       = 5
 
Dep Var: LN_WEIGHT   N: 42   Multiple R: 0.937   Squared multiple R: 0.878
 
Adjusted squared multiple R: 0.875   Standard error of estimate: 0.093

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-12.573		0.806		0.000		.		-15.609		0.000	
LN_SIZE		3.149		0.186		0.937		1.000		16.959		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		2.489		1		2.489		287.611		0.000	
Residual		0.346		40		0.009			
*** WARNING ***
Case        27513 has large leverage   (Leverage =        0.329)
 
Durbin-Watson D Statistic          1.965
First Order Autocorrelation       -0.024
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Sprat
   GROUP$       = 6
 
Dep Var: LN_WEIGHT   N: 24   Multiple R: 0.984   Squared multiple R: 0.969
 
Adjusted squared multiple R: 0.968   Standard error of estimate: 0.090

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-15.116		0.657		0.000		.		-22.993		0.000	
LN_SIZE		3.703		0.141		0.984		1.000		26.304		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		5.570		1		5.570		691.874		0.000	
Residual		0.177		22		0.008			
 
Durbin-Watson D Statistic          2.036
First Order Autocorrelation       -0.106
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Striped Red
   GROUP$       = 1
Unable to enter effect 2.
This effect may fail tolerance checks.

The following effects have lost degrees of freedom.

Effect	Initial df	Lost df	Final df	
LN_SIZE                       		1		1		0	
 
***ERROR***
There is no variation in your dependent variable(s).
 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Tompot blenn
   GROUP$       = 1
Unable to enter effect 2.
This effect may fail tolerance checks.

The following effects have lost degrees of freedom.

Effect	Initial df	Lost df	Final df	
LN_SIZE                       		1		1		0	
 
***ERROR***
There is no variation in your dependent variable(s).
 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Turbot
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 4   Multiple R: 1.000   Squared multiple R: 1.000
 
Adjusted squared multiple R: 1.000   Standard error of estimate: 0.033

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-11.515		0.170		0.000		.		-67.724		0.000	
LN_SIZE		3.131		0.034		1.000		1.000		93.247		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		9.489		1		9.489		8694.927		0.000	
Residual		0.002		2		0.001			
*** WARNING ***
Case        27561 is an outlier        (Studentized Residual =       -1.878)
Case        27562 is an outlier        (Studentized Residual =        3.756)
 
Durbin-Watson D Statistic          2.798
First Order Autocorrelation       -0.663
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Weewer lesse
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 30   Multiple R: 0.982   Squared multiple R: 0.965
 
Adjusted squared multiple R: 0.964   Standard error of estimate: 0.113

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-10.737		0.504		0.000		.		-21.299		0.000	
LN_SIZE		2.888		0.104		0.982		1.000		27.730		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		9.825		1		9.825		768.929		0.000	
Residual		0.358		28		0.013			
*** WARNING ***
Case        27594 has large leverage   (Leverage =        0.824)
 
Durbin-Watson D Statistic          2.331
First Order Autocorrelation       -0.166
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Whiting
   GROUP$       = 1
 
Dep Var: LN_WEIGHT   N: 553   Multiple R: 0.974   Squared multiple R: 0.948
 
Adjusted squared multiple R: 0.948   Standard error of estimate: 0.100

Effect	Coefficient	Std Error	Std Coef	Tolerance	t	P(2 Tail)	
CONSTANT		-12.771		0.170		0.000		.		-74.940		0.000	
LN_SIZE		3.212		0.032		0.974		1.000		100.534		0.000	
 
Analysis of Variance

Source	Sum-of-Squares	df	Mean-Square	F-ratio	P	
Regression		102.059		1		102.059		10107.146		0.000	
Residual		5.564		551		0.010			
*** WARNING ***
Case        27711 has large leverage   (Leverage =        0.042)
Case        27946 has large leverage   (Leverage =        0.035)
 
Durbin-Watson D Statistic          1.654
First Order Autocorrelation        0.170
 
Residuals and data have been saved.

 
The following results are for:
   SURVEY$      = PMV2 October
   NAME$        = Whiting
   GROUP$       =
***ERROR***
No cases were found to process.
 
The following results are for:
   SURVEY$      =
   NAME$        =
   GROUP$       =
***ERROR***
No cases were found to process.