The corrected total sum of squares always has N -1 degrees of freedom. This can be attributed to the calculation of the mean for the
dependent variable. The squared sum of
the deviations about the mean of the dependent variable is the total sum of
squares. Divided by its degrees of
freedom, the sum of squares is reported as SST.