Generally, when more variables are added to a prediction equation
A) more variance in the criterion variable is accounted for.
B) more variance in the predictor variables are accounted for.
C) less variance in the criterion variable is accounted for.
D) less variance in the predictor variable is accounted for.

Question

Quizplus · Accepted Answer

Adding more variables to a prediction equation generally leads to more variance in the criterion variable being accounted for, as additional predictors may capture unique sources of variance in the outcome measure that were not captured by the initial set of predictors. However, this may also depend on the quality and relevance of the additional predictors being added.

Generally, When More Variables Are Added to a Prediction Equation