| Analysis of Variance |
Parameter Estimates
Parameter estimates resulting from analysis of variance models where the effects are all classification variables are different from those observed in a regression model. They represent a non-unique solution to the normal equations, and thus the individual elements in the table are not as easily interpretable as they are in multiple regression. For a complete discussion of parameter estimates involving classification variables, refer to the chapter "Details of the Linear Model: Understanding GLM Concepts," in SAS System for Linear Models, Third Edition.
Figure 15.8: Fit Window - Parameter Estimates
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