The standard multiple regression assumption states that the error terms have the same variance.This is known as homoscedasticity.

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Homoscedasticity is an important assumption in multiple regression analysis, which implies that the variance of the error terms is constant across all levels of the independent variables. This assumption is necessary for reliable estimation of regression coefficients and valid statistical inference.

The Standard Multiple Regression Assumption States That the Error Terms