I apologize for the simplicity of this question, but I'm struggling with a conceptual mapping problem. It has been literally 20 years since I was working with regression software.
In the old days, in building a multiple regression that used "dummy variables," we'd simply specify the dummy (1 if true, 0 if false) and chuck it into the fit command. The results would then include estimates for both the regular variables and the dummy. So e.g., if there are three variables -- PRICE, SQUARE-FOOTAGE, FOR-SALE, where FOR-SALE means the house is currently for sale, and is a 1/0 dummy, you'd dump all three into the calculation, and the equation would be something like Y = a + b*SQUARE-FOOTAGE + c*FOR-SALE + e.
When I try to use the Fit Model to do this, however, I can't seem to get the model to include an estimate for the dummy. It gives me an equation with out the dummy, and then a separate graph/statistics for the dummy. There must be something very simply I'm missing here. I'd be grateful for a hint.
If your 0/1 variable is set to have modelling type of nominal, you should see a model term for both the 0 case and 1 case. If your 0/1 variables is set to have modeling type of continuous, then you should get the equation as you wrote it.