I'm trying to fit a model with statsmodels, Multinomial Logit Model.
This works fine, but I'm quite unsure if it is the right model for my case and how to treat my independent variables.
So my dependent variable has the following response categories: "No", "Indifferent", and "Yes". My assumption is that this conforms to the case of a Multinomial model. But my independent variables also have the same structure: "Yes", "Indifferent" and "No". Currently mapped as 1 = No, 2 = Indifferent and 3 = Yes Do I need to make dummies of these variables, or can I just take the odds and multiply with 2 to get Yes?
Also, one variable is binned age, which means the age column got the values 20-30, 30-40 etc.
tldr: Independent variables are not binary, they have 3 possible values. Can I multiply the odds by 2 to get the third value?