Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy

Computer Software Aided Regression Analysis of Correlation between Internet Communication and Residents’ Consumption

Authors
Jiongwei Chen, Guoping Cheng
Corresponding Author
Jiongwei Chen
Available Online July 2015.
DOI
10.2991/icismme-15.2015.143How to use a DOI?
Keywords
computer software aided; regression analysis; correlation; and internet communication.
Abstract

In this paper, we try to find out the correlation between internet communication and residents’ consumption. Based on the objective, with a computer software aided method, we choose the annual statistic data of residents’ consumption level and internet communication population of China from 2003 to 2013, and use econometrics software Eviews 6.0 and least square method to build the linear regression model between residents’ consumption level and internet communication population. The result shows that there does exist a linear correlation between residents’ consumption level and internet communication population.

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 First International Conference on Information Sciences, Machinery, Materials and Energy
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
10.2991/icismme-15.2015.143
ISSN
1951-6851
DOI
10.2991/icismme-15.2015.143How 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  - Jiongwei Chen
AU  - Guoping Cheng
PY  - 2015/07
DA  - 2015/07
TI  - Computer Software Aided Regression Analysis of Correlation between Internet Communication and Residents’ Consumption
BT  - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 691
EP  - 694
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.143
DO  - 10.2991/icismme-15.2015.143
ID  - Chen2015/07
ER  -