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multicollinearity
(redirected from Multicollinear)

   Also found in: Dictionary/thesaurus, Wikipedia 0.01 sec.
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.


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Earlier researchers probably were concerned about the multicollinear complications in the coefficient estimations.
Additionally, although there was evidence that the variables in this study were not multicollinear, correlations between some dependent variables were moderately high, thus potentiating an overfit of the models to the data.
20) were analyzed in a correlation matrix to assess for collinearity; we found that within each sex-and race-defined group, no covariates were multicollinear (i.
 
 
 
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