The Mean Square Regression (MSR) in an Analysis of Variance (ANOVA) for multiple regression is the sum of squares divided by (sample size -1) degrees of freedom.

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In an Analysis of Variance (ANOVA) for multiple regression, the Mean Square Regression (MSR) is calculated as the regression sum of squares divided by the degrees of freedom for the regression, which is typically the number of predictors in the model.