Correlation

nounid 4800·updated May 13, 2026

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2 senses across 2 frameworks

Statistics for Experimenters: Design, Innovation, and Discovery1 senseview framework →

§1: The correlation coefficient of two random variables y_1, and y_2, denoted \rho(y_1,y_2) is: \rho(y_1, y_2) = Cov(y_1, y_2)/\sqrt{Var(y_1)*Var(y_2)}

Glossary of Statistical Terms1 senseview framework →

§1: In its most general sense correlation denoted the interdependence between quantitative or qualitative data. In this sense it would include the association of dichotomised attributes and the contingency of multiply-classified attributes.

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