In multiple regression, the multiple R can be interpreted as:
A) reflecting the degree of association between the dependent variable and the independent variables
B) the percentage of total variation in Y explained by the independent variables
C) a measure of the accuracy of the prediction, i.e., the range of error around forecasting the dependent variable
D) all the independent variables are highly significant in forecasting the dependent variable

Question

Quizplus · Accepted Answer

Multiple R, also known as the correlation coefficient, reflects the degree of association between the dependent variable and the independent variables in a multiple regression model.

In Multiple Regression, the Multiple R Can Be Interpreted As