An estimator is used to estimate the unknown parameter in a linear regression model. In this paper, a new estimator was derived from further modification of the Liu-type Estimator. The performance of the new estimator was evaluated by comparing its mean squared error with the mean squared errors of other estimators. It was found that there is a reduction in mean squared error in the new estimator under certain conditions.