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Spearman's rank correlation coefficient, usually denoted as $\rho$, is a measure of concordance between two random variables.

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What can spearman's rank do that regression can't?

As a matter of fact, Spearman's rank correlation coefficient may for some data be more informative (and less misleading) than a simple linear regression. The crucial difference between Spearman's rank …
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