The multiple correlation coefficient squared (R²)is the proportion of variance in the criterion variable accounted for by: A)the variance and standard deviation of the sample scores B)the correlation matrix C)all of the predictor variables D)all of the criterion variables

Question

Quizplus · Accepted Answer

The multiple correlation coefficient squared (R²) is also known as the coefficient of determination and is the proportion of variance in the criterion variable that is accounted for by all of the predictor variables. Therefore, the best choice is C, all of the predictor variables.

The Multiple Correlation Coefficient Squared (R2)is the Proportion of Variance

The Multiple Correlation Coefficient Squared (R²)is the Proportion of Variance