Multicollinearity vs. Collinearity

Multicollinearitynoun

(statistics) A phenomenon in which two or more predictor variables in a multiple regression model are highly correlated, so that the coefficient estimates may change erratically in response to small changes in the model or data.

Collinearitynoun

(uncountable) The condition of being collinear.

Multicollinearitynoun

a case of multiple regression in which the predictor variables are themselves highly correlated

Collinearitynoun

(countable) The extent to which something is collinear.

Multicollinearity

In statistics, multicollinearity (also collinearity) is a phenomenon in which one predictor variable in a multiple regression model can be linearly predicted from the others with a substantial degree of accuracy. In this situation, the coefficient estimates of the multiple regression may change erratically in response to small changes in the model or the data.

Collinearitynoun

The relationship between the linear sequence of codons in DNA and that of amino acids in the protein so coded

Collinearity

In geometry, collinearity of a set of points is the property of their lying on a single line. A set of points with this property is said to be collinear (sometimes spelled as colinear).