In Multiple Regression Analysis, the Change in the Square of the Multiple

Multiple Choice

In multiple regression analysis, the change in the square of the multiple correlation coefficient (R²)

A) is the value by which the score on an independent variable is multiplied to predict the score on the dependent variable.
B) represents the degree of association between the independent variables as a set and the dependent variable.
C) represents the increase in the proportion of variance in the dependent variable that is accounted for by adding another independent variable to the regression equation.
D) represents the condition that arises when two or more predictor variables are highly correlated with each other.