Regression, Regression Analysis, Data Analysis, Data Science, Machine Learning.
Homoscedasticity refers to the assumption that the variance of the errors (residuals) is constant across all levels of the independent variable(s). This implies that the spread of the residuals should remain consistent as the values of the independent variable(s) change. Heteroscedasticity, or