| 释义 |
multicollinearity
multicollinearity (ˌmʌltɪkəʊˌlɪnɪˈærɪtɪ) n (Statistics) statistics the condition occurring when two or more of the independent variables in a regression equation are correlatedThesaurus| Noun | 1. | multicollinearity - a case of multiple regression in which the predictor variables are themselves highly correlatedstatistics - a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parametersmultiple correlation, multiple regression - a statistical technique that predicts values of one variable on the basis of two or more other variables |
multicollinearity
multicollinearity[‚məl·tē·kō‚lin·ē′ar·əd·ē] (statistics) A concept in regression analysis describing the situation where, because of the high degree of correlation between two or more independent variables, it is not possible to separate accurately the effect of each individual independent variable upon the dependent variable. multicollinearity
Words related to multicollinearitynoun a case of multiple regression in which the predictor variables are themselves highly correlatedRelated Words- statistics
- multiple correlation
- multiple regression
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