When you look at the individual results in a standard multiple regression, the results represent
A)all of the shared variance between the predictor variables and the criterion
B)all the shared and unique variance between the predictor variables and the criterion
C)the unique variance only
D)the shared variance only

Question

Quizplus · Accepted Answer

In a standard multiple regression, the coefficients (or results) for individual predictor variables represent the unique contribution of that predictor to the outcome variable, after accounting for the variance explained by all other predictors in the model. This means they reflect the unique variance that each predictor explains in the criterion, not the shared variance among predictors.

When You Look at the Individual Results in a Standard