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 these

Question

Quizplus · Accepted Answer

Including multiple predictor variables in a regression equation allows for the detection of interactions between those variables. This can provide deeper insights into the relationships between predictor variables and the criterion variable. Option A is incorrect because detecting mean differences between groups is typically done through ANOVA rather than regression analysis. Option C is also incorrect because regression analysis cannot establish cause-and-effect relationships.

One Key Advantage for Including Multiple Predictor Variables in the Equation