The standard error of estimate is an indication of
A)the average deviation from the mean of the regression line
B)the average amount of error in calculating a z score for an individual
C)the average error resulting from predicting Y values from X scores using a regression equation.
D)the average sum of the differences between actual Y scores and predicted Y scores for a set of scores.

Question

Quizplus · Accepted Answer

The standard error of estimate is a measure of the average amount of error that can be expected when predicting Y values from X scores using a regression equation. It represents the standard deviation of the distribution of errors or residuals, which are the differences between actual Y scores and predicted Y scores. Option A is not correct as it refers to the standard deviation of the Y scores around the regression line. Option B is incorrect as it refers to the error in calculating z scores, which is not related to regression analysis. Option D is also not correct as it refers to the mean of the residuals, not the standard deviation.

The Standard Error of Estimate Is an Indication of