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multicollinearity

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multicollinearity [ˌmʌltɪkəʊˌlɪnɪˈærɪtɪ]
n
(Mathematics & Measurements / Statistics) Statistics the condition occurring when two or more of the independent variables in a regression equation are correlated
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Noun1.multicollinearity - a case of multiple regression in which the predictor variables are themselves highly correlated
statistics - a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters
multiple correlation, multiple regression - a statistical technique that predicts values of one variable on the basis of two or more other variables
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Although multicollinearity does not pose a problem in terms of goodness-of-fit in ordinary least square estimations, a couple of problems arise.
Sports market capacity, frequency of movements, and age in the NBA ... by Lee, Sang H.; Leonard, John; Jeon, Hyungjoon / Indian Journal of Economics and Business
Multicollinearity was evaluated by calculating Variance Inflation Factors (VIF).
Demographic and urban form correlates of healthful and unhealthful ... by Daniel, Mark; Kestens, Yan; Paquet, Catherine / Canadian Journal of Public Health
However, such a model resulted in perfect multicollinearity for some of the mandates, so these mandates have been excluded from the model.
The effect of state mandates on health insurance premiums by Gohmann, Stephan F.; McCrickard, Myra J. / Journal of Private Enterprise
 
 
 
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