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The value of R square would not decrease when more variables are added to the model. As a result, there is always a temptation to add more variables in the model, because of which problem can arise therefore in that case Adjusted R2 is used as a measure.
For tables larger than , PROC SURVEYFREQ also computes the adjusted Wald F statistic as. where k = (R â 1)(C â 1), and s is the degrees of freedom, which are computed as described in the section Degrees of Freedom. Alternatively, you can specify the value of s with the DF= option in the TABLES statement. Note that for tables, k = (R â 1 )(C â 1) = 1, and therefore the adjusted Wald F statistic equals the (unadjusted) Wald F statistic, with the same numerator and denominator degrees of freedom.