The article introduces a new method to improve the accuracy of predicting coefficients in linear regression models. By combining two existing techniques, the researchers developed a class of estimators that outperforms traditional methods. They found that using ridge regression can enhance the accuracy of Stein estimators. The study also determined the best parameter values for these estimators, offering a practical way to enhance predictions in linear regression models.