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Multicollinearity (in Regression Analysis)
In a regression analysis, multicollinearity occurs when two or more predictor variables (independent variables) show a high correlation. This leads to the fact that the regression coefficients are unstable and can no longer be interpreted. To avoid multicollinearity, there must be no linear dependence between the predictors; this is the case ...
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