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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.
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Tests of Between-Subjects Effects |