A new estimator called biased two-parameter (BTP) is proposed to deal with multicollinearity in linear regression models. This estimator outperforms ordinary least-squares (OLS) and other existing estimators when multicollinearity is present, as shown by theoretical comparisons, simulation studies, and real-life data.