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Coefficient vs Multicollinearity - What's the difference?

coefficient | multicollinearity |

As nouns the difference between coefficient and multicollinearity

is that coefficient is while multicollinearity is (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.

As an adjective coefficient

is .

coefficient

Alternative forms

*

Adjective

(en adjective)
  • cooperating
  • * 1850 , August Neander, The Life of Jesus Christ in Its Historical Connexion and Historical ... , page 13
  • And so our own idea of Christ compels us to admit that two factors, the one natural, the other supernatural, were coefficient in his entrance into human life;
  • * 2005 , Mathew Callahan, Boff Whalley, The Trouble with Music , page 12
  • Nevertheless, there was some substance to the notion that acclaim and merit were coefficient .

    Noun

    (en noun)
  • (mathematics) A constant by which an algebraic term is multiplied.
  • A number, value or item that serves as a measure of some property or characteristic.
  • Hyponyms

    * coefficient of friction

    Derived terms

    * coefficient of friction * correlation coefficient * Gini coefficient

    multicollinearity

    English

    Noun

    (wikipedia multicollinearity)
  • (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.