The standard error of estimate, s_e, is the standard deviation of A) the predicted scores on Y. B) the distribution of the observed Y scores. C) the differences between actual and predicted Y scores. D) the X scores used to predict Y.

Question

Quizplus · Accepted Answer

The standard error of estimate (s) represents the average distance of observed data points from the regression line. It is the standard deviation of the errors or residuals, which are the differences between the actual Y scores and the predicted Y scores. Therefore, the correct choice is C. The other options (A, B, and D) do not describe the standard error of estimate correctly.

The Standard Error of Estimate, Se, Is the Standard Deviation

The Standard Error of Estimate, S_e, Is the Standard Deviation