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

Question

Quizplus · Accepted Answer

A large F-value typically indicates that at least one predictor variable in the multiple regression model is statistically significant. A poor model is more likely characterized by a small F-value, indicating that the model does not explain much of the variability in the response variable, rather than a large F-value.

A Multiple Regression Model Is Assessed to Be Poor If