## Summary of Fit for Generalized Linear Models

For generalized linear models, the **Summary of Fit** table,
as illustrated by
Figure 39.12,
includes the following:
**Mean of Response**
- is the sample mean, , of the response variable.
**SCALE**
- is the constant scale parameter specified in the
method dialog or a value of 1.0 for maximum-likelihood
estimation for Poisson or binomial distributions.
**SCALE (MLE)**
- is the maximum-likelihood estimate of the scale parameter
for normal, gamma, and inverse Gaussian distributions.

**SCALE (Deviance)**
- is the scale parameter estimated by the mean error deviance.

**SCALE (Pearson)**
- is the scale parameter estimated by
the mean Pearson .

**Deviance**
- is the error deviance.
**Deviance/DF**
- is the mean error deviance, the error deviance
divided by its associated degrees of freedom.

**Pearson ChiSq**
- is the Pearson statistic.
**Pearson ChiSq / DF**
- is the mean Pearson , the Pearson divided by its
associated degrees of freedom.

When the scale parameter is a constant specified in the
method dialog, or when the response has a Poisson or
binomial distribution, the table also contains the scaled
deviance and the scaled Pearson :
**Scaled Dev**
- is the error deviance divided by the dispersion parameter.

**Scaled ChiSq**
- is the Pearson divided by the dispersion parameter.

**Figure 39.12:** Summary of Fit and Analysis of Deviance Tables for Generalized Linear Models

Copyright © 1999 by SAS Institute Inc., Cary, NC, USA. All rights reserved.