Lack of fit
= Lack of fit
Lack of fit is a mismatch between a regression model's mean function and the true mean relationship. Replicated predictor configurations can separate its sum of squares from <pure error>. A <residual-versus-fitted plot> can suggest curvature or changing variance even without a formal replication-based test.