a) Evaluating the Residuals in Linear regression.

A residual is the difference between an observed value and a predicted value in regression analysis.

Residual = Observed value – Predicted value

An observation has a positive residual if its value is greater than the predicted value made by the regression line.

An observation has a negative residual if its value is less than the predicted value made by the regression line.