Multicollinearity in Multiple Regression Models:

Introduction Multicollinearity refers to a situation in multiple regression models where two or more independent variables are highly correlated with each other. This high correlation can make it difficult to isolate the individual effect of each independent variable on the dependent variable. In other words, multicollinearity occurs when the independent variables in the regression model […]