What is Homoscedasticity in the assumptions of Linear Regression Analysis?
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Homoscedasticity means the residuals in a regression model have constant variance across all levels of the independent variable. It ensures reliable estimates and valid statistical tests in linear regression.
In linear regression analysis, homoscedasticity refers to the assumption that the variance of the residuals (errors) remains constant across all levels of the independent variable(s).