The F-value to test the overall significance of a regression model is computed by dividing the sum of squares regression (SS_reg)by the sum of squares error (SS_err).

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The F-value is computed by dividing the mean square regression (MS_reg) by the mean square error (MS_err), where MS_reg is the sum of squares regression (SS_reg) divided by its degrees of freedom, and MS_err is the sum of squares error (SS_err) divided by its degrees of freedom.

The F-Value to Test the Overall Significance of a Regression