Prediction Model of Multiple Linear Regression Analysis in Grain Production
Authors
Zhuoshi Li, Xuejun Cao, Xiaoqi Ding, Hang Chen
Corresponding Author
Zhuoshi Li
Available Online July 2015.
- DOI
- 10.2991/icimm-15.2015.233How to use a DOI?
- Keywords
- grain production;multiple linear regression analysis;EViews
- Abstract
Food production as the basis for agricultural development, forecasting and analysis of the problem of food production is necessary. In this paper, 2004-2013 years, the national food production and related indicators of food production factors, namely as dependent and independent variables studied, to determine the multicollinearity between independent variables through diagnosis; using multiple linear regression analysis prediction model and finding the predicted results with the 2014's grain output value by comparing the prediction model error is small, relatively close to the actual food value.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Zhuoshi Li AU - Xuejun Cao AU - Xiaoqi Ding AU - Hang Chen PY - 2015/07 DA - 2015/07 TI - Prediction Model of Multiple Linear Regression Analysis in Grain Production BT - Proceedings of the 5th International Conference on Information Engineering for Mechanics and Materials PB - Atlantis Press SP - 1290 EP - 1293 SN - 2352-5401 UR - https://doi.org/10.2991/icimm-15.2015.233 DO - 10.2991/icimm-15.2015.233 ID - Li2015/07 ER -