If the number of dummy variables representing a qualitative variable equals the number of categories of this variable, one deals with the problem of perfect multicollinearity.
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Q1: In the regression equation Q2: A dummy variable is also referred to Q3: For the model y = β0 + Q5: For the model y = β0 + Q6: For the model y = β0 + Q7: For the logit model, the predicted values Q8: A binary choice model is also referred Q9: Regression models that use a binary variable Q10: A model y = β0 + β1x Q11: Using a _ we can determine if
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