The multiple correlation coefficient is the percent of variation in the dependent variable explained by all of the independent variables.

Question

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The multiple correlation coefficient, typically denoted as R² in the context of multiple regression, represents the proportion of the variance in the dependent variable that can be explained by the independent variables, not the percent of variation. It is a measure of the strength of the relationship between the model and the dependent variable.

The Multiple Correlation Coefficient Is the Percent of Variation in the Dependent