Tests of Model Effects

Figure 1. Tests of model effects
Tests of model effects

Each term in the model is tested for whether its effect equals 0. Terms with significance values less than 0.05 have some discernable effect. Thus, agecat and drivefreq contribute to the model, while the other main effects do not. In a further analysis of the data, you would consider removing gender and votelast from the model.

Next