Mean regression sum of squares (MSR)


MSR = RSS / k

k: number of parameters

The MSR represents the average squared difference between the predicted values and the mean of the dependent variable. A lower MSR indicates a better fitting model, while a higher MSR indicates a poorer fitting model.

See also: ANOVA

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