Residual analysis can be used to check for violations of the assumptions that the distribution of the
random error component is normally distributed with mean 0.

Question

Quizplus · Accepted Answer

Residual analysis involves examining the residuals (the differences between observed and predicted values) to check if they are randomly distributed with a mean of 0, which is a key assumption for many statistical models, including the assumption of normally distributed errors.

Residual Analysis Can Be Used to Check for Violations of the Assumptions