multicollinearity
multicollinearity noun: 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.
Noun
multicollinearity (countable and uncountable, plural multicollinearities)
- 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.
Forms of multicollinearity
| plural | multicollinearities |
|---|
Origin of multicollinearity
From multicollinear + -ity.
Questions about multicollinearity
- What does multicollinearity mean?
- Multicollinearity means 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.
- What part of speech is multicollinearity?
- Multicollinearity is a noun.
- What is the plural of multicollinearity?
- The plural of multicollinearity is multicollinearities.
Words near multicollinearity in the dictionary
Source and license
Adapted from Wiktionary: multicollinearity (page history and authors). Text available under the Creative Commons Attribution-ShareAlike 4.0 license. Word.ws reformatted the entry and added links. Wiktionary data of 2026-09-02.
Last updated:
Cite this entry: “multicollinearity.” Word.ws, https://word.ws/multicollinearity. Based on Wiktionary, CC BY-SA 4.0.
