The SAS System

                             The GENMOD Procedure

                              Model Information

                      Data Set              WORK.LOBSTER
                      Distribution                Normal
                      Link Function             Identity
                      Dependent Variable         survive


                   Number of Observations Read         159
                   Number of Observations Used         159


                    Criteria For Assessing Goodness Of Fit
 
       Criterion                     DF           Value        Value/DF

       Deviance                     158         39.7484          0.2516
       Scaled Deviance              158        159.0000          1.0063
       Pearson Chi-Square           158         39.7484          0.2516
       Scaled Pearson X2            158        159.0000          1.0063
       Log Likelihood                         -115.3977                
       Full Log Likelihood                    -115.3977                
       AIC (smaller is better)                 234.7954                
       AICC (smaller is better)                234.8723                
       BIC (smaller is better)                 240.9332                


 Algorithm converged.                                                       


             Analysis Of Maximum Likelihood Parameter Estimates
 
                         Standard       Wald 95%             Wald
Parameter  DF  Estimate     Error   Confidence Limits  Chi-Square  Pr > ChiSq

Intercept   1    0.4969    0.0397    0.4191    0.5746      157.01      <.0001
Scale       1    0.5000    0.0280    0.4479    0.5581                        

NOTE: The scale parameter was estimated by maximum likelihood.
                                The SAS System

                             The GENMOD Procedure

                              Model Information

                      Data Set              WORK.LOBSTER
                      Distribution                Normal
                      Link Function             Identity
                      Dependent Variable         survive


                   Number of Observations Read         159
                   Number of Observations Used         159


                    Criteria For Assessing Goodness Of Fit
 
       Criterion                     DF           Value        Value/DF

       Deviance                     157         29.2272          0.1862
       Scaled Deviance              157        159.0000          1.0127
       Pearson Chi-Square           157         29.2272          0.1862
       Scaled Pearson X2            157        159.0000          1.0127
       Log Likelihood                          -90.9538                
       Full Log Likelihood                     -90.9538                
       AIC (smaller is better)                 187.9076                
       AICC (smaller is better)                188.0624                
       BIC (smaller is better)                 197.1143                


 Algorithm converged.                                                       


             Analysis Of Maximum Likelihood Parameter Estimates
 
                         Standard       Wald 95%             Wald
Parameter  DF  Estimate     Error   Confidence Limits  Chi-Square  Pr > ChiSq

Intercept   1   -1.0276    0.2043   -1.4281   -0.6271       25.29      <.0001
size        1    0.0378    0.0050    0.0280    0.0476       57.24      <.0001
Scale       1    0.4287    0.0240    0.3841    0.4786                        

NOTE: The scale parameter was estimated by maximum likelihood.