LINEAR REGRESSION MODEL TO STUDY THE EFFECTS OF WEATHER VARIABLES ON CROP YIELD IN MANIPUR STATE

Crop production is highly dependent on weather parameters. The change of meteorological parameters affects crop production and productivity also. Due to geographical constraints only 7.41 percent area of Manipur state is used for cultivation practices. So, there has been great pre-requisite to adopt new package and practices of crops to increase crop yield. Under this background it has become essential to get a clear idea about the production behaviour of different crops and the climatic influences on yield of various crops of the state. For this purpose we use multiple linear regression analysis to study the effect of weather variable along with area on crop yield. Results on multiple linear regression show that yields of crops are significantly dependent on climatic variables more or less area plays a significant role on crop yield for most of the crops like rice, maize, oilseeds, vegetables, citrus, and turmeric Rainfall significantly influences the yield of rice, maize, pineapple, vegetables and ginger and showing no effect on other crops as they are mostly winter crops. Those are mostly explained by temperature and relative humidity.