Question
When using multiple regression, multicollinearity occurs when_____
- the predictors are highly correlated with one another.
- the criterion measures are highly correlated with one another.
- there is a low correlation between the predictors and the criterion.
- there is a high (significant) correlation between the predictors and the criterion.
The Correct Answer is A.
The term multicollinearity is used to describe high correlations between predictors (X variables). Additional information on multiple regression and multicollinearity is in the Statistics and Research Design chapter of the written study materials.
Answer B: Multicollinearity occurs when the predictors (i.e., independent variables) are highly correlated with one another, not the criterion (i.e., dependent) variables.
Answer C: Multicollinearity occurs when the predictors (i.e., independent variables) are highly correlated with one another, not a low correlation between predictors and the criterion.
Answer D: Multicollinearity occurs when the predictors are highly correlated with one another, not when predictors and the criterion are highly correlated.