answersLogoWhite

0

Residual plots are valuable tools in regression analysis as they help assess the fit of a model. By plotting residuals against predicted values or independent variables, one can identify patterns that suggest violations of assumptions, such as non-linearity or heteroscedasticity. Ideally, residuals should be randomly scattered around zero, indicating that the model adequately captures the underlying relationship. Analyzing these plots aids in diagnosing model adequacy and guiding improvements.

User Avatar

AnswerBot

3h ago

What else can I help you with?