Which of the Following Statements Are Not True?
A) the Model

Which of the following statements are not true?

A) The model utility F test is appropriate for testing whether there is useful information about the dependent variable in any of the k predictors (i.e., whether $\beta _ { 1 } = \beta _ { 2 } = \ldots \ldots = \beta _ { k} = 0$

) )
B) If we let $S S E _ { k }$

Be the sum of squared residuals for the full multiple regression model with k predictors and $\operatorname { SSE } _ { i }$
Be the corresponding sum for the reduced model with l predictors (l < k) , then $S S E _ {k }$
$\geq$ $\operatorname { SSE } _ { i }$
)
C) The standardized residuals in multiple regression result from dividing each residual by its estimated standard deviation; the formula for these standard deviations is substantially more complicated than in the case of simple linear regression.
D) All of the above statements are true.
E) None of the above statements are true.