A new two-parameter estimator has been developed, building on previous methods like ordinary least squares and ridge estimators. The performance of this new estimator was compared to existing methods using criteria like quadratic bias and mean squared error matrix. The new estimator showed promising results in terms of bias and accuracy, offering potential improvements over traditional approaches in linear regression modeling.