The dependent variable is Y(0,1), the independent variables are A(0,1), B(0,1,2) and C is continuous. Model 1. proc logistic data=tmp descending; class A(ref='0') B(ref='0')/param=glm; model Y=A B A*B/clodds=pl; run; The output: Q1. What's the hypothesis for Effect A, B and A*B in Type 3 Analysis and what's the hypothesis for Parameter A(1), B(1,2) and A*B(1*1, 1*2) in Analysis of Maximum Likelihood? Thank you in advance!
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