Asking a question directly on which respondent feel hesitate to reply is a very crucial for almost all the researchers. To overcome this situation Warner (1965) dealt with sensitive issues and proposed Randomized Response Technique ( RRT ). In this paper, we have suggested the classical estimators and the generalized estimator for the estimation of scrambled responses using auxiliary information in systematic random sampling. The mathematical expressions for approximate bias and mean square error of the mentioned estimators are obtained up to the first-order approximation. The algebraic conditions are also obtained for which the generalized estimator may perform better than the classical estimators. An extensive numerical study is conducted to assess the performance of the mentioned estimators using real and artificial populations at different level of correlations.