Proceedings of the 2nd International Conference on Management Science and Industrial Engineering

Multivariate Regression Analysis on Data Reduction Based on SPSS Software

Authors
Chunjuan Ye, Juan Wang, Ying Cui
Corresponding Author
Chunjuan Ye
Available Online November 2013.
DOI
10.2991/msie-13.2013.89How to use a DOI?
Keywords
investigation analysis, spss, data collection, multiple regression analysis, linear correlation
Abstract

As a result of the increasing pressure in life and study in college,as well as the forming of bad habits,many college students have physique problem,which will not only has bad influence on their study lives,but also their future jobs.As a result,the paper does multiple projects testings and surveys about colleges students' physique in Tianjin,then arranges datum of findings by using SPSS software and does comparative analysis about data by using Frequencies module,does multiple regression analysis on condition that datum are ensured effective,and compares these datum with students' average level through multiple regression analysis.Finally,it puts forward to advice about how to enhance college students' physique.

Copyright
© 2013, 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 2nd International Conference on Management Science and Industrial Engineering
Series
Advances in Intelligent Systems Research
Publication Date
November 2013
ISBN
10.2991/msie-13.2013.89
ISSN
1951-6851
DOI
10.2991/msie-13.2013.89How to use a DOI?
Copyright
© 2013, 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  - Chunjuan Ye
AU  - Juan Wang
AU  - Ying Cui
PY  - 2013/11
DA  - 2013/11
TI  - Multivariate Regression Analysis on Data Reduction Based on SPSS Software
BT  - Proceedings of the 2nd International Conference on Management Science and Industrial Engineering
PB  - Atlantis Press
SP  - 417
EP  - 420
SN  - 1951-6851
UR  - https://doi.org/10.2991/msie-13.2013.89
DO  - 10.2991/msie-13.2013.89
ID  - Ye2013/11
ER  -