01187pab a2200181 454500 180718b2003 xxu||||| |||| 00| 0 eng d Venkataramaniah, M. Comparison of forecasts using applied regression analysis techniques 2003 p.410-24. Dec Forecasting is the prediction of the variable based on known past values of it or other related variables. After estimation of parameters of the regression model of the most common use of regression is for prediction or forecasting. Data on sugar production from S.V. Sugar Factory Ltd., Tirupati was collected and analysed through different forecasting techniques like Simple Linear Regression Method and Holt's Exponential Smoothing Method. The results of these techniques were compared by using the criteria of Mean Absolute Error (MAE) measure to arrive at the final conclusion. The simple non-linear forecasting method, was found to be the optimum technique for forecasting in the present study. - Reproduced. Forecasting Balasiddamuni, P. Reddy, A. Rama Raghava Asian Economic Review 59593 59593 59593 0 0 0 0 IIPA IIPA 2018-07-19 Volume no: 45, Issue no: 3 AR60038 2018-07-19 2018-07-19 AR