A multiple regression model is assessed to be poor if the error sum of squares SSE and the standard error of estimate s_e are both large, the coefficient of determination R ² is close to 0, and the value of the test statistic F is large.

Question

Quizplus · Accepted Answer

A poor multiple regression model is indicated by a large SSE and s (standard error of estimate), an R^2 (coefficient of determination) close to 0, but not by a large F value. A large F value typically indicates that the model is statistically significant, contrary to what is implied by the statement.

A Multiple Regression Model Is Assessed to Be Poor If