A study on the relationship between students' course scores and starting wages based on principal component regression
Authors
Yi Yang, Yan Song
Corresponding Author
Yi Yang
Available Online December 2017.
- DOI
- https://doi.org/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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017) PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/anit-17.2018.48 DO - https://doi.org/10.2991/anit-17.2018.48 ID - Yang2017/12 ER -