Table 5.
Proportion of variance corresponding to each predictor.
| First | Last | LMGc | PMVDd | |
|---|---|---|---|---|
| Severity of ataxia | .40 | |||
| Cognitive-affective factore | .15 | .07 | .11 | .14 |
| Somatic-Motivational factore | .08 | .01 | .04 | .01 |
First measure informs on the explained variance value when the variable is the first to be entered in the model.
Last measure informs on the explained variance value when the variable is the last to be entered in the model.
LMG measure decomposes R2 into nonnegative contributions based on semipartial correlation coefficients that automatically sum to the total R2.
Proportional Marginal Variance Decomposition decomposes R2 analogously to LMG keeping in mind data-depended weight. This eliminates the possibility of cooperative suppression
Factors always entered in the model after severity of ataxia.