Share '7 Classical Assumptions of Ordinary Least Squares (OLS) Linear Regression'
This article was written by Jim Frost. Here we present a summary, with link to the original article.
Ordinary Least Squares (OLS) is the most common estimation method for linear models—and that’s true for a good reason. As long as your model satisfies the OLS assumptions for linear regression, you can rest easy knowing that you’re getting the best possible estimates.
Regression is a powerful anal…
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