Explains the practical significance of each variable on the duration of benefit.
|Tests of between-subjects effects
|Dependent variable: month of benefit
|Source||Type III sum of squares||df||Mean square||F||Sig.||Partial eta squared|
|MF atrophy × sex||10.914||1||10.914||1.059||.306||.011|
R2 = .710 (adjusted R2 = .696). Larger values of partial (η2 = eta squared) indicate a greater amount of variation accounted for by the model term, to a maximum of 1. Here the individual term (degree of LMF atrophy) is statistically significant and has great effect on the value of months of benefit.
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