One of the major uses of residual analysis is to test some of the assumptions underlying regression.

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Residual analysis is commonly used to check the assumptions of regression, such as normality, linearity, homoscedasticity, and independence of errors. By examining the residuals, we can determine if the assumptions are valid and if any adjustments or transformations are necessary to improve the model's accuracy. Therefore, residual analysis is an important tool in regression analysis.

One of the Major Uses of Residual Analysis Is to Test