For either linear regression or multiple regression, the standard error of estimate can be computed as ____.
a. the square root of msresidual
b. the square root of msregression
c. msresidual/(n – 2)
d. msregression/(n – 2)

The standard error of the estimate is a measure of the accuracy of predictions.

It is given by the square root of the mean square residual.

Therefore, for either linear regression or multiple regression, the standard error of estimate can be computed as the square root of msresidual.

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For either linear regression or multiple regression, the standard error of estimate can be computed as ____.​ a. ​the square root of msresidual b. ​the square root of msregression c. ​msresidual/(n – 2) d. ​msregression/(n – 2)

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For either linear regression or multiple regression, the standard error of estimate can be computed as ____.
a. the square root of msresidual
b. the square root of msregression
c. msresidual/(n – 2)
d. msregression/(n – 2)