Correlation Coefficient, Linear Regression, Regression Modeling, Multicollinearity, Nonlinear Regression.
model: Multicollinearity can lead to overfitting the model, where the model fits the training data well but performs poorly on new data. Overcoming multicollinearity When building a regression model, it is important to properly handle the problem of multicollinearity. This will help you improve