Between-Subjects Effects

Figure 1. Between-subjects SSCP matrix
Between-subjects SSCP matrix

This table displays the hypothesis and error SSCP matrices for testing the effects in the model. When there is just one measure, the matrices each have one element, which correspond to the sums of squares in the tests of between-subjects effects.

Figure 2. Tests of between-subjects effects
Tests of between-subjects effects

This is an analysis of variance table. The significance values for PROMO and MARKETID are both less than 0.05, so you can conclude that they contribute to the model. The significance value for PROMO*MARKETID is greater than 0.10, so it appears there is no interaction effect.

The large partial eta squared values for PROMO and MARKETID show that they explain quite a lot of variation in sales. Look at the profile plots for a visual representation of the effects of these variables.

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