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3 questions
1
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Dummy variables and interactions
To avoid perfect multicollinearity, a common practice is to drop one dummy variable when encoding categorical variables in a linear regression model (avoiding dummy variable trap). I am using this ...
- 213
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Multiple linear regression with dependent as a dummy predictor
I have a model $Y = \alpha + \beta_1X_1 + \beta_2X_2$.
$Y$ has a bimodal normal(ish) distribution, so I'm looking to see if the relationship between the predictors and the response is different for ...
- 101
3
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3
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Multiple regression with dummy variables and interaction term
We have done a multiple regression analysis to see how gender and experience affect salary. We used a dummy variable for gender and then we also added the interaction variable (female work experience)....
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