Abstract: As India is a land of cultivation and rice is a major food for most of the Indians, Indian authorities is trying heart and soul to increase the rice cultivation by improving the irrigation system, giving minimum support price to farmers every year. We have a general notion that production of rice mainly depends on Rainfall, rice cultivation land, Minimum support price set by the government every year. Hence after critical analysis using multiple regression model and using SPSS Software version 20 of IBM interesting result has come out. It has been found that rainfall has very less impact on the production of rice in India, whereas minimum support Price has high impact on production of rice along with Rice Agricultural land available. Hence a regression line has been fit using minimum support Price and available Agricultural land in India. Interestingly the regression line has fit to ninety nine percentage accuracy level with a standard error of the estimate as 2.92790.The model has been verified by predicting the rice production, once the minimum support Price set for a given year by the government and available rice cultivation land for the year is given. Here the rainfall as a factor was found to have a lesser impact on the production of rice which signifies that there is other alternative source available for irrigation, other than depending on rainfall, using which farmers are able to irrigate their agricultural land on time.

Keywords: Minimum support price, Multiple regression model, Agricultural land.

| DOI: 10.17148/IARJSET.2022.9481