In Multiple Regression Analysis, the Square of the Multiple Correlation

Multiple Choice

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

A) the amount of change that occurs in the dependent variable associated with each unit change in the independent variables.
B) the joint reliability of the all the variables involved in the analysis.
C) the proportion of variance in the dependent variables that can be accounted for by the independent variables considered as a set.
D) the mean of the dependent variable.