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Multicollinearity in regression occurs when two or more independent variables are highly correlated with each other, making it difficult to determine the individual effect of each predictor on the dependent variable. It can inflate the variance of coefficient estimates and make the regression results unstable and difficult to interpret. E-BOOK ...
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