Why is it important to test heteroskedasticity in a dataset?
Heteroskedasticity refers to the state of systematic changes in the spread of residuals or the error term of the model. The presence of heteroskedasticity leads to violation of the assumption of the ordinary least square.
regression analysis, research data analysis