What's the difference between
and
Enter two words to compare and contrast their definitions, origins, and synonyms to better understand how those words are related.

Predictor vs Multicollinearity - What's the difference?

predictor | multicollinearity |

As nouns the difference between predictor and multicollinearity

is that predictor is something that anticipates, predicts or foretells 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.

predictor

English

Noun

(en noun)
  • Something that anticipates, predicts or foretells.
  • :The rain fall in April is a predictor for the number of mosquitoes in May.
  • :The predictor in the traffic lights control circuit tries to figure out how fast to change the lights.

    • 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.

    • Related terms

    * multicollinear