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How do dummy variables help in a regression model? 
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How do dummy variables help in a regression model?
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How do dummy variables help in a regression model?
They help in normalizing the data.
They allow the inclusion of categorical data in the model.
They reduce multicollinearity among predictors
They transform non-linear relationships to linear.
This question is part of this quiz :
Advanced Regression (inference and transforming)Share your thoughts in the comments
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