A new estimator called the Generalized Kibria-Lukman Estimator has been developed to improve the accuracy of linear regression models when there are multiple factors influencing the outcome. This new estimator outperforms traditional methods like Ordinary Least Squares in situations where errors are large and variables are highly correlated. The study shows that the Generalized Kibria-Lukman Estimator is more effective in handling these complex scenarios.