Question

Which one of the following numbers for the standard error of estimate would indicate the best regression fit?

Group of answer choices

1000

10

50

100

Answer 1

The standard error of the regression (S), also known as the standard error of the estimate, represents the average distance that the observed values fall from the regression line. Conveniently, it tells you how wrong the regression model is on average using the units of the response variable. Smaller values are better because it indicates that the observations are closer to the fitted line.

Therefore if 10 be the standard error of estimate then it is best regression fit in our case.

So option 3) 50 is correct option