Homoscedasticity

Homoscedasticity is a statistical concept where the variance of the error terms in a regression model is constant across all levels of the independent variables. This is an important assumption in linear regression analysis, as violations of homoscedasticity can lead to biased standard errors and unreliable statistical inferences.