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 squared deviations from the regression line, and represents the average distance that the data points fall from the regression line. It is not related to the slope of the regression line (b) or the intercept (B0), nor is it in squared units of the dependent variable. While it can be used to calculate prediction intervals, it cannot be cut in half to get an approximate 95 percent prediction interval.

The Standard Error of the Regression