Logistic Regression using dummy variables

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Madhuresh
Madhuresh 2014-3-7
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.

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