In simple linear regression, if the estimated values and the corresponding actual values are equal, then the standard error of estimate, SE( ), must equal -1.0.

Name: In simple linear regression, if the estimated values and the corresponding actual values are equal, then the standard error of estimate, SE( ), must equal -1.0.
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Question

In simple linear regression, if the estimated values  and the corresponding actual values  are equal, then the standard error of estimate, SE(  ), must equal -1.0.

Quizplus · Accepted Answer

If the estimated and actual values are equal, then the error term (residual) is 0. This means that the standard error of estimate will also be 0, not -1.0.

In Simple Linear Regression, If the Estimated Values and the Corresponding