A Key to Uncover the Envelop of Backwardness of Sugar Industry in Bangladesh: An Application of Regression Analysis

In this paper, an effort is taken to fish out the inherent backwardness of sugar industry in Bangladesh by applying multiple regression analysis. The prime objective research describe present situation production level and find a technique increase mills Bangladesh. Data chosen from secondary sources i.e. performance reports, annual reports selected sample BSFIC. total (Yprod.) treated as dependent variable LSM = XLSM (loss molasses), RMC XRMC (Repair maintenance cost), MH XMH (Machine hours), UEU XUEU (Units energy used) RR XRR (Recovery rate) are independent variables under study period. It implied analysis that 1 percent decrease loss molasses would result 7939.63 units upturn gross output if other factors remain keep unchanged mean position. coefficient MH, was found significant at positive sign indicating these had impact on process. also indicated 3.49 units, 56.59 1174.73 respectively components holding position for each including model. So management could amount 9137.63 taking necessary action recovery rate (RR) same time (LSM) technical arrangement procedure sugar.