Abstract
A common procedure for testing a regression model against separate alternatives is to check the statistical significance of predictions from the latter appended as artificial regressors in the model under test. This paper derives the previously-unknown exact small-sample power function of such a procedure. It is then demonstrated that the procedure is biased in small samples.