Covariate Means and Patterns

Figure 1. Covariate means and patterns
Covariate means and patterns

This table displays the average value of each predictor variable, plus a pattern for each level of custcat. The four patterns correspond to each of the customer types, each with otherwise "average" predictor values. This table is a useful reference when looking at the survival plots, which are constructed for the mean values and each covariate pattern.

Figure 2. Plots dialog box
Plots dialog box

Note, however, that the "average" customer doesn't actually exist when you look at the means of indicator variables for categorical predictors. Even with all scale predictors, you are unlikely to find a customer whose covariate values are all close to the mean. If you want to see the survival curve for a particular case, you can change the covariate values at which the survival curve is plotted in the Plots dialog box. If you want to see the survival curve for a particular case, you can change the covariate values at which the survival curve is plotted in the Plots group of the Advanced Output dialog.

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