In regression analysis,we can often use the standard error of estimate to judge which of several potential regression equations is the most useful.

Question

In regression analysis,we can often use the standard error of estimate  to judge which of several potential regression equations is the most useful.

Quizplus · Accepted Answer

This is true. The standard error of estimate is a measure of the average distance between the actual values and the predicted values in a regression analysis. A lower standard error of estimate generally indicates a better fit of the regression equation to the data, and therefore a more useful equation.

In Regression Analysis,we Can Often Use the Standard Error of Estimate