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st: Interpretation of categorical independent variable
From
Meng Zhao <[email protected]>
To
[email protected]
Subject
st: Interpretation of categorical independent variable
Date
Fri, 10 Sep 2010 00:38:01 -0700 (PDT)
Hello,
I use a three-category ID to predict a binomial dependent variable. I included dummy variables for the first two categories in the model. The result is:
Odds Ratio p
Category 1: 116.45 0.000
Category 2: 17.76 0.000
Is the following interpretion correct?
1.compared to category 3, being category 1 increases the Odds Ratio by 116.45 for DV to happen (whatever it represents).
2.compared to category 3, being category 2 increases the Odds Ratio by 17.76.
3.So category 1 has a stronger effect on DV than category 2, and category 2 is stronger than category 3
Best,
Simon
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