The standard error of the regression
A)is based on squared deviations from the regression line.
B)may assume negative values if b1

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 interval.

Quizplus · Accepted Answer

The standard error of the regression is based on the squared deviations from the regression line. It is a measure of the standard deviation of the residuals, which are the differences between the observed values and the predicted values. It is not in squared units of the dependent variable, and it cannot assume negative values. Additionally, it cannot be cut in half to get an approximate 95 percent prediction interval.

The Standard Error of the Regression