Lack of Fit

Lack of Fit, Sum of Squares -The difference between the total sum of squares of the residuals and the pure error sum of squares in a regression analysis. It is a measure of lack of fit between the Experimental and the Fitted response. An F-test is used to express the significance of the lack of fit, which is expected to be non-significant for a well-fitted model.