The multiple correlation coefficient between five predictor variables and grades is .50. This finding means that
A) the best single predictor explains 25 percent of the variance in grades.
B) the average correlation between each predictor variable and grades is .10.
C) the combined set of predictor variables explains 25 percent of the variance in grades.
D) the combined set of predictor variables explains 50 percent of the variance in grades.

Question

Quizplus · Accepted Answer

The multiple correlation coefficient, when squared (R^2), represents the proportion of variance in the dependent variable that is predictable from the independent variables. In this case, .50 squared equals .25, meaning 25 percent of the variance in grades is explained by the combined set of predictor variables.

The Multiple Correlation Coefficient Between Five Predictor Variables and Grades