SS resid is the residual sums of squares for the full model.MS diff is the difference between SS resid for the full and reduced models.F is the estimated F-statistic under the null hypothesis it is a random quantile of the F-distribution with 1 and (n − p) degrees of freedom p is the number of predictors including the intercept, in other words k + 1 where k is the number of predictor variables.A test of the predictor variable can be obtained by calculating the F-ratio of the difference in the residual sums of squares from the full to the reduced model divided by the MS residual of the full model: b i is the estimated regression coefficient,Īn equivalent test can be carried out by simply dropping the predictor variable of interest from the full model and recalculating the analysis of variance table for the reduced model.Note we define p as the number of predictors including the intercept, in other words k + 1 where k is the number of predictor variables. ![]()
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