Correlation Coefficient, Linear Regression, Regression Modeling, Multicollinearity, Nonlinear Regression.
concepts, you can create a new variable as the average or weighted average of the two variables. This can help reduce the collinearity between the variables. Collect more data: Increasing the sample size can help reduce the effects of multicollinearity, especially if the collinearity is due to a