Tests of between-subjects effects
This is an analysis of variance table. Each term in the model, plus the model as a whole, is tested for its ability to account for variation in the dependent variable. Note that variable labels are not displayed in this table. The significance value for each term is less than 0.05, so each term is statistically significant. The partial eta squared statistic reports the "practical" significance of each term, based upon the ratio of the variation (sum of squares) accounted for by the term, to the sum of the variation accounted for by the term and the variation left to error. Larger values of partial eta squared indicate a greater amount of variation accounted for by the model term, to a maximum of 1. Here the individual terms, while statistically significant, do not have great effect on the value of Amount spent.