In multiple regression, the overall correlation between the criterion variable and all the predictor variables is called the:
A)multiple correlation coefficient
B)regression coefficient
C)multiple beta weight
D)proportion of variance accounted for

Question

Quizplus · Accepted Answer

The overall correlation between the criterion variable and all the predictor variables is referred to as the multiple correlation coefficient, which is usually denoted as R or R squared. This coefficient is a measure of the strength and direction of the linear relationship between all of the predictor variables collectively and the criterion variable. The other options (B, C, and D) refer to specific parameters or measures in multiple regression but do not capture the overall correlation between the criterion and predictor variables.

In Multiple Regression, the Overall Correlation Between the Criterion Variable