Always remember folks: data rarely fits our core assumptions in regression analysis. This is why you should always make sure to run your diagnostic tests and provide as much error specification to your model as needed. *PS, if your data somehow satisfies all assumptions of regression analysis, then chances are you’ve engaged in data torture (big no-no). #statistics #regression #datascience
Do you remember learning about the homoscedastic (what a word!) errors assumption for linear regression in stats 101? I recently wrote an article about how and why that assumption can be loosened by using heteroscedastic robust errors on Towards Data Science! If heteroscedasticity is keeping you up at night you should check it out!
