 Homoscedasticity and heteroscedasticity

Homoscedasticity and heteroscedasticity are terms used in statistics and regression analysis to describe the variability of the error terms (or residuals) in a model. Understanding these concepts is important for validating the assumptions of linear regression and ensuring the reliability of the model's results.