multicollinearity example

What Is Multicollinearity And Why Is It A Problem?

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What Is Multicollinearity And Why Is It A Problem? Multicollinearity exists whenever an independent variable is highly correlated with one or more of the other independent variables in a multiple regression equation. Multicollinearity is a problem because it undermines the statistical significance of an independent variable. What is multicollinearity problem in regression? Multicollinearity happens when

Can Two Independent Variables Be Correlated?

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Can Two Independent Variables Be Correlated? Can two independent variables be correlated? Multicollinearity occurs when independent variables in a regression model are correlated. This correlation is a problem because independent variables should be independent. If the degree of correlation between variables is high enough, it can cause problems when you fit the model and interpret