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What are the drawbacks of a linear model?

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There are a couple of drawbacks of a linear model:

  1. A linear model holds some strong assumptions that may not be true in application. It assumes a linear relationship, multivariate normality, no or little multicollinearity, no auto-correlation, and homoscedasticity
  2. A linear model can’t be used for discrete or binary outcomes.
  3. You can’t vary the model flexibility of a linear model.

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