Logistic Regression using dummy variables

I have a model where categorical (mutually exclusive) variables predict bankruptcy. Chi-square is significant. How can I code a logistic regression model in MATLAB that proves that some of these variables explain the bankruptcies better.

There are 4 variables: which implies 3 dummy variables.

   X = [  0 0 0
          0 1 0 
          0 0 0 
          0 0 1 
          0 0 1 
          1 0 0  
          1 0 0 ......... ]

   Y = [1 0 0 1 1 0 0 .....]; % 1 means bankruptcy

I think I should use glmfit (from http://matlabdatamining.blogspot.com/2009/03/logistic-regression.html) but I wasn't sure if using dummy indicators would require any additional interpretation/inputs. I use R2013a version and I have Statistics and Optimization Toolbox.