A multiple regression model is assessed to be poor if the error sum of squares SSE and the standard error of estimate s _{$\varepsilon$} are both large,the coefficient of determination R² is close to 0,and the value of the test statistic F is large.

Question

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A multiple regression model is considered poor if the SSE and standard error are large, R² is close to 0, and the F-statistic is small, indicating that the model does not explain much of the variability in the response variable.

A Multiple Regression Model Is Assessed to Be Poor If ε\varepsilonε

A Multiple Regression Model Is Assessed to Be Poor If $\varepsilon$