Journal of Business and Management Sciences. 2015, 3(1), 26-31
DOI: 10.12691/jbms-3-1-4
Open AccessResearch Article
Somu Jena1,
1Department of Business Administration Utkal University, Bhubaneswar India-751004
Pub. Date: April 13, 2015
Cite this paper:
Somu Jena. A Prediction on Rice Production in India through Multivariate Regression Analysis. Journal of Business and Management Sciences. 2015; 3(1):26-31. doi: 10.12691/jbms-3-1-4
Abstract
In this paper an extensive study is carried out to estimate the rice production in India based on current and historical data. The significant factors studied are land used, irrigation and production respectively. To study the strength of interdependence between the factors and estimation of production multivariate correlation analysis and regression analysis have been applied. To predict the future production of rice different time series techniques have been studied for better comparison. To facilitate the entire study and maintain quality, consistency and accuracy of data SPSS- 20.0 version software is used.Keywords:
rice production land used irrigation multivariate regression analysis time series analysis
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