Question

The standard error of the regression:_________

A. Is based on squared deviations from the regression line.
B. May assume negative values if b1 < 0.
C. Is in squared units of the dependent variable.
D. May be cut in half to get an approximate 95 percent prediction

Answer 1

the answer is

A. Is based on squared deviations from the regression line.

Explanation:

since the numerator of standard error if N, squaring the value cannot give negative value. dependent variable are the squared units