• An error term appears in a statistical model, such as a regression model, to indicate the uncertainty in the model.

  • The error term is a residual variable that explains the lack of perfect agreement.
  • Heteroskedasticity refers to a condition in which the variance of the residual term or the error term in the regression model is very different.