Correlation Coefficient, Linear Regression, Regression Modeling, Multicollinearity, Nonlinear Regression.
small sample size. Use regularization techniques: Regularization methods, such as ridge regression and lasso regression, can help reduce multicollinearity by adding a penalty term to the regression coefficients. This can help shrink the coefficients of the correlated variables towards zero and