Proceedings of the 5th International Conference on Information Engineering for Mechanics and Materials

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/).

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Volume Title
Proceedings of the 5th International Conference on Information Engineering for Mechanics and Materials
Series
Advances in Engineering Research
Publication Date
July 2015
ISBN
978-94-62520-88-2
ISSN
2352-5401
DOI
10.2991/icimm-15.2015.233How to use a DOI?
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  -