As said for the simple linear regression, the difference between fitted and predicted values is that the fitted value refers to the case where the values used for the predictor variables correspond to one on the n observations of the observed data, but the predicted values are obtained for any set of values of the predictor variables. In regression analysis, for estimation and testing purposes, n4pþ1.