i. The multiple standard error of estimate measures the variation about the regression plane when two independent variables are considered.
Ii) A multiple correlation determination equalling -0.76 is definitely possible.
Iii) The number of degrees of freedom associated with the regression sum of squares in the regression equation model equals the number of independent variables.
A) (i), (ii) and (iii) are all correct statements
B) (i) and (ii) are correct statements, but not (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) All statements are false

Question

Quizplus · Accepted Answer

The multiple standard error of estimate does measure variation about the regression plane with two independent variables. A multiple correlation determination (R²) cannot be negative, so statement (ii) is incorrect. The degrees of freedom for the regression sum of squares is equal to the number of independent variables, making statement (iii) correct.

I the Multiple Standard Error of Estimate Measures the Variation