Correlation Coefficient, Linear Regression, Regression Modeling, Multicollinearity, Nonlinear Regression.
Multicollinearity is problematic in a regression model since it defeats one of the assumptions of linear regression that emphasizes the independence of input variables. Multicollinearity means that the input variables influence each other. They are not actually independent, and it is difficult to