One key advantage for including multiple predictor variables in the equation of a regression line is that it allows you to
A)detect mean differences between groups for each criterion variable
B)detect the extent to which two or more predictor variables interact
C)show cause-and-effect because many predictor variables are added
D)all of the above

Question

Quizplus · Accepted Answer

Including multiple predictor variables in the equation of a regression line allows you to detect the extent to which two or more predictor variables interact, which can provide a more accurate prediction of the criterion variable. It does not necessarily allow for detecting mean differences between groups or showing cause-and-effect.

One Key Advantage for Including Multiple Predictor Variables in the Equation