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 the results. In this blog post, I’ll highlight the problems that multicollinearity … Continue reading Multicollinearity in Regression Analysis: Problems, Detection, and Solutions