Correlation
nounverified·updated May 18, 2026
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.
Framework senses
- §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)}
- §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.
- §1
- a statistical relation between two or more variables such that systematic changes in the value of one variable are accompanied by systematic changes in the other
- §2
- a statistic representing how closely two variables co-vary
- §3
- a reciprocal relation between two or more things