A regression model can never be a completely accurate
description of reality. Therefore, there is bound to be some difference between the actual values of the regressand and its values
estimated from the chosen model. This difference is simply the stochastic error term, whose various forms are discussed in the chapter. The residual is the sample counterpart of the stochastic error term.