Assumptions are made to ensure the reliability of the regression results. These include linearity, independence of errors, homoscedasticity, and normality of error terms.
Assumptions are made to ensure the reliability of the regression results. These include linearity, independence of errors, homoscedasticity, and normality of error terms.