I have a a data set where the dependent variable has 4 levels (low, low-medium, medium, and high) with three independent continuous variables. So my code currently looks like this: proc logistic data=updated;   model groupedSet = bioMarker age bmi; run;   the output gives me 3 intercepts, which is great, but only gives me 1 estimate and odds ratio estimate for the bioMarker, age, and bmi. Is there a way to see what the predicted probability is for the bioMarker at each level of the groupedSet? I understand the main problem is because it is a continuous variable. So is there any way around that? I've been trying to find some papers on it but am have bad luck so far. Thanks. ... View more

Hello, I'm kinda new to the statistical world and am working with SAS to do a data analysis. I know that I have a dependent variable based on age and bmi and I want to do a mean adjustment of the dependent variable based on these two independent variables. proc reg only shows that they are, in fact, predictor variables. Also, N = 150 code so far: proc reg data=test; model depvar = age bmi / cbi; run; So I know that the dependent variable is based off of age and bmi. I'm, just not sure what code to use to actually adjust the values of the dependent variable based on them. Any help would be appreciated. Thanks! ... View more