A study on the relationship between students' course scores and starting wages based on principal component regression

DOI

10.2991/anit-17.2018.48How to use a DOI?

Keywords

course score, starting wage, principal component regression analysis.

Abstract

To accurately evaluate students' professional ability, optimize their curriculum, principal component regression analysis method is used to design the principal component regression model about the relationship between course scores and starting wages . Some empirical analysis is made based on score data of students which majored computer science and technology in Hunan women's university. The experiment result shows that model can more accurately describe the relationship between course scores and starting wages , which can be used as a tool to evaluate students' professional ability, forecast analysis on the employment situation for students.

Copyright

© 2018, 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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TY  - CONF
AU  - Yi Yang
AU  - Yan Song
PY  - 2017/12
DA  - 2017/12
TI  - A study on the relationship between students' course scores and starting wages based on principal component regression
BT  - Proceedings of the 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)
PB  - Atlantis Press
SP  - 283
EP  - 287
SN  - 1951-6851
UR  - https://doi.org/10.2991/anit-17.2018.48
DO  - 10.2991/anit-17.2018.48
ID  - Yang2017/12
ER  -