A generalization of the mean-square-successive-difference statistic is used to detect lack of fit in the multiple linear regression model. The distribution of the test statistic is approximated with Pearson Curves. A numerical example is used to illustrate the procedure and compare the test with the usual F test and a nonparametric test.