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

True/False

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.