The _____ represents the average error across individuals in predicting scores on Y from the regression equation.
A)regression line
B)correlation coefficient
C)slope
D)standard error of estimate

Question

Quizplus · Accepted Answer

The standard error of estimate (also known as the standard error of regression, or residual standard error) represents the average difference between the actual scores on the dependent variable (Y) and the predicted scores from the regression equation. It measures the dispersion or variability of the residuals (the differences between the observed values and the predicted values) from the regression line. The smaller the standard error of estimate, the better the fit of the regression line.

The _____ Represents the Average Error Across Individuals in Predicting