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Journal of Business and Management Sciences. 2015, 3(1), 26-31
DOI: 10.12691/JBMS-3-1-4
Research Article

A Prediction on Rice Production in India through Multivariate Regression Analysis

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

Copyright

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References

[1]  Afifi, A., May, S., Practical Multivariate Analysis, Fifth Edition.
 
[2]  All India Rice Exporters Association (AIREA)
 
[3]  Hair, J.F., Ronald L.T., Anderson, R.E., William B., Multivariate Data Analysis.
 
[4]  Levin R.I, Rubin D.S., Statistics for Management, 7th Edition, Pearson, India, 2008.
 
[5]  Nargundkar, R.N., Marketing Reasearch, TMH, Third Edition, 2011.
 
[6]  Pattnaik, M. Inventory Models: A Management Perspective, Lambart Academic Publishing, Germany, 2014.
 
[7]  Richard, A. J., Dean W.W., Applied Multivariate Statistical Analysis.