Residual Analysis §

Group: 5 #group-5

Relations §

• Linear Regression: Residual analysis is used to evaluate the assumptions and goodness-of-fit of a linear regression model.
• Heteroscedasticity: Residual analysis, such as plotting residuals against predicted values or independent variables, can be used to visually inspect for heteroscedasticity.