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Homoscedasticity & Heteroscedasticity

  • One of the important assumptions of Linear regression is that the variance of the error term is same across all observations. This type of regression is called homoscedastic regression
  • When the requirement of a constant variance is violated, we have a condition of heteroscedasticity


  • We can diagnose heteroscedasticity by plotting the residual against the predicted y

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