The mean square (MS) values in an Analysis of Variance (ANOVA) for multiple regression are the sum of squares (SS) values divided by their corresponding degrees of freedom.

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In ANOVA for multiple regression, the mean square (MS) values are indeed calculated by dividing the sum of squares (SS) values by their corresponding degrees of freedom (df). This provides a measure of variance (mean square) for each source of variation in the model.

The Mean Square (MS) Values in an Analysis of Variance