Hi,

Thank you all for your comments and suggestions, I really appreciate it.

To clarify a few things:

I have 3 categorical variables in the model (price, nr of participants, and price distribution type). Each of them is coded in binary variables. Now here's the problem I have:

For nr of participants, I can't just re-code the model. It's fairly complicated but let me explain. Between the variable "nr of participants" and "price distribution type" there exists a restriction. When "nr of participants"=1, the price distribution type can only be "Constant_for_top_1", i.e., there is only 1 value from "price distribution type" that occurs with "nr of participants"=1. So in order to avoid perfect correlation in my iv variables, i took "nr of participants"=1 as base, and left out the "price distribution type" value "Constant_for_top_1" out.

Anyway's, what it boils down to is that I cannot change the base of the "price distribution type" because I introduce perfect correlation amongst my iv variables. So I was wondering is there some adapted t-test or something where I could plugin the standard deviation and coefficient values and compute if they're statistically different from each other.