 Lack-of-fit sum of squares

Lack-of-fit sum of squares is a measure used in statistical modeling and regression analysis to assess how well a model fits a given set of data. Specifically, it helps to identify whether the model is providing a good description of the underlying relationship between the independent and dependent variables.