In simple regression analysis the error terms are assumed to be independent and normally distributed with zero mean and constant variance.

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In simple regression analysis, it's assumed that the error terms (residuals) are independent and normally distributed with a mean of zero and a constant variance (homoscedasticity), which are key assumptions for the validity of the regression model.

In Simple Regression Analysis the Error Terms Are Assumed to Be