The problem of selecting the best linear regression model has long been of special interest to theoretical and applied statisticians. In the present study an attempt has been made by suggesting a diagnostic test for selection lo linear statistical models. The proposed criterion is conceptually much simpler then most of the existing model selection criteria, This can be readily be implemented using computer software and handle several alternative models simultaneously.