Manipur is in north eastern part of India and internationally boundering state with Myanmar. Rice is staple food. The economy coming from rice crop production generates income of the people for their livelihood mainly and has a major contribution to NSDP. Hence, the contributing factors, for enhancing in the rice production, have to be identified so as to gear up the sustainable development in the state. The aim is to identify the factors of rice crop with reference to various agro-climatic, socio-economic, and topographical conditions of Manipur. Under a stratified two- stage sampling design, cross-sectional primary data is collected and stepwise regression analysis was followed by proposing a statistical model. The model fits the data well and diagnostic checks confirmed that the data do not contradict the general underlying assumptions about the model. By the value of R=0.907(before) and R=0.925(after) application of stepwise regression process respectively indicates that 90.7 percent (before) and 92.5 percent (after) of variation in the yield is explained by the independent variable under consideration.