Time series include the influences of time and of various socio-economic factors dependent on time such as trend, cyclinical movements, seasonal fluctuations and random movements. These movements in economic time series generate problems. In this paper, one out of these four movements in time series, namely seasonal movements, has been analysed. After reviewing the criteria in evaluating the process of seasonal correction, we have focused upon the use of ordinary least squares(OLS) in correcting seasonal fluctuations.