Residual vs. Predictor Plot

A plot of $y_i$ vs.  $e_i\equiv \hat y_i-y_i$. Random scatter indicates the model is probably good. A pattern indicates a problem with the model. If the spread in $e_i$ increases as $y_i$ increases, the errors are called Heteroscedastic.