# Multiple regression of nonparametric variable over different types of variable

I have a non normally distributed variable X (also its residuals are non-normally distributed). I have also two predictor variables, one categorical (two categories) and one discrete. Which regression should I use to test the association between the predictors and X?

I am not a statistics expert, and I am getting lost in a sea of different regression methods.

Thank you!

• I have a feeling that this question is better suited for CrossValidated (the SE site dedicated to statistics). – Lord_Farin Jul 1 '13 at 17:23
• (1) Do you expect $X$ to depend linearly on the other variables or not? (2) What do you expect the scatter of the residuals to look like--will it be approximately Normal, or perhaps will it be skewed or expected to exhibit some isolated large variations? Perhaps the amount of scatter will vary with the values of the independent variables? These are basic criteria used to identify appropriate regression procedures. If you let us know where your situation stands with respect to these criteria, you will likely get some focused, relevant answers. – whuber Jul 1 '13 at 19:53