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In this article, I will build a linear regression model step by step and use it to test the Gauss-Markov assumptions.

It seems that nowadays when everyone is so much into all kinds of fancy machine learning algorithms, few people still care to ask: what are the key assumptions required for the Ordinary Least Squares (OLS) regression? How can I test if my model satisfies these assumptions?

Sharon Wei

data scientist, rock climber

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