January 2014
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1,311 Reads
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59 Citations
The present article discusses the role of categorical variable in the problem of multicollinearity in linear regression model. It exposes the diagnostic tool condition number to linear regression models with categorical explanatory variables and analyzes analytically as well as numerically how the dummy variables and choice of reference category can affect the degree of multicollinearity.