The new variables include predicted value, raw residual, standardized residual, studentized residual, deleted residual, standard error of the predicted value, Cook's distance and leverage. It also allows you to save the design matrix used in the model calculation to the active file. Two of the three files are related to the parameter estimates and their correlation and covariance matrices. For each dependent variable, Spread versus Level plot displays observed cell means versus standard deviation, and versus variances across the level combinations of all factors. Residual plot produces an observed by predicted by the standardized residual.
Profile plot produces line plots of the observed means of a dependent variable.
Profile plots display means across levels of one, two or three factors. The reparameterization approach has some problems in handling empty cells in the design. Job Category is a categorical variable with 7 levels. Age is a covariate. SPSS Inc. All rights reserved.