The Assumptions of Ordinary Least Squares

Published: Feb. 3, 2019, 11:24 p.m.

Ordinary least squares (OLS) is often used synonymously with linear regression. If you\u2019re a data scientist, machine learner, or statistician, you bump into it daily. If you haven\u2019t had the opportunity to build up your understanding from the foundations, though, listen up: there are a number of assumptions underlying OLS that you should know and love. They\u2019re interesting, force you to think about data and statistics, and help you know when you\u2019re out of \u201cgood\u201d OLS territory and into places where you could run into trouble.