and calculated at the mean value of those variables. Under the null hypothesis that
a blocking factor has no effect , it follows from elementary mixed-model theory that the blocking factor variance will equal the error variance. As a result, including
a non-primary blocking factor will subtract degrees of freedom and sum of squares
(i.e., variability) from the residual such that the error variance estimate
(the residual mean square) remains constant