Regression analysis provides a measure of accuracy for predictions of the regression equation through the:
A)standard error of estimate
B)standard error of accuracy
C)standard error of percentage
D)standard error of average
E)standard error of the error term

Question

Quizplus · Accepted Answer

The standard error of estimate is a measure of the accuracy of predictions made by a regression equation. It measures the average distance between the actual Y values and the predicted Y values, and is often used to assess the overall fit of the regression model. Therefore, option A is the best choice.

Regression Analysis Provides a Measure of Accuracy for Predictions of the Regression