The standard error of the estimate (SE) in a regression analysis is:
A)A measure indicating the amount of a data falling within the relevant range.
B)A measure of explanatory power which is a number between zero and 1.
C)A measure of the accuracy of the regression's estimates.
D)A measure of reliability of each independent variable.

Question

Quizplus · Accepted Answer

The standard error of the estimate (SE) is a measure of the accuracy of the regression's estimates. It represents how well the regression line fits the data points, and the lower the SE, the better the fit. Option A is incorrect as it describes the standard deviation of the data, and Option B is incorrect as it refers to the coefficient of determination (R-squared). Option D is incorrect as it does not relate to the SE but to the significance of each independent variable.

The Standard Error of the Estimate (SE) in a Regression