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OCR: The Lack of Fit table is displayed when you have observations are exact replicates of each other in terms the variables. error that you can measure for these exact replicates is called pure error This the portion of the sample error that cannot bi explained or predicted. The difference between the residual err from the model and the pure error called lack of 1f error. lack of fit is significant then you should consider adding interact terms if appropriate, or trying to better capture the functional form regressor. click on table column for more hel Lack Of Fit Source DF -LogLikelihood ChiSquare Lack Of Fit 1 6.876314 13.75262 Pure Error 368 40.796493 Prob> ChiSa Total Error 384 47.672807 0.617137 columr ChiSq