Correlationship vs. Correlation — What's the Difference?

(nonstandard) correlation

In statistics, correlation or dependence is any statistical relationship, whether causal or not, between two random variables or bivariate data. In the broadest sense correlation is any statistical association, though it commonly refers to the degree to which a pair of variables are linearly related.

A relationship or connection between two things based on co-occurrence or pattern of change

(Statistics) The tendency for two values or variables to change together, in either the same or opposite way

An act of correlating or the condition of being correlated.

A reciprocal, parallel or complementary relationship between two or more comparable objects.

(statistics) One of the several measures of the linear statistical relationship between two random variables, indicating both the strength and direction of the relationship.

(algebra) An isomorphism from a projective space to the dual of a projective space, often to the dual of itself.

Reciprocal relation; corresponding similarity or parallelism of relation or law; capacity of being converted into, or of giving place to, one another, under certain conditions; as, the correlation of forces, or of zymotic diseases.

A reciprocal relation between two or more things

A statistic representing how closely two variables co-vary; it can vary from -1 (perfect negative correlation) through 0 (no correlation) to +1 (perfect positive correlation);

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