On Higher Education Tuition Based on the Model of Multiple Linear Regression in China

被引:0
|
作者
Liu Dequan [1 ]
Wang Wei [1 ]
Zhang Aiting [1 ]
Gu Zhengbing [1 ]
机构
[1] Harbin Univ Commerce, Acad Econ, Harbin 150028, Peoples R China
来源
PROCEEDINGS OF THE 29TH CHINESE CONTROL CONFERENCE | 2010年
关键词
Tuition; Higher Education; Multiple Linear Regression; Sensitivity Analysis;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Higher education is connected with the nurture of talents, enhancing the national innovation capacity, and the overall situation of building a harmonious society, so the Chinese government and communist party, as well as all sectors of the society have paid much attention and concern to it. A core index of higher education is the quality of education. After different targets are set for different majors, it is necessary to have appropriate funding guarantees for the quality of education. In the paper, a multiple linear regression model has been established on the basis of the reasonable assumption, then the range of average tuition can be got using the EVIEWS software, then a sensitivity analysis was tested on the state funding, which accounted for 1/4 in training costs of students. From the above results, Tuition of all over colleges and universities were reasonable in our country, and the average tuition was negatively correlated to the state funding to some extent. Through the conclusion, we obtained that when the state funding rose by 100 yuan, the average tuition would decrease by 95 yuan.
引用
收藏
页码:1278 / 1281
页数:4
相关论文
共 50 条
  • [31] Prediction Model of Multi-channel Audio Quality Based on Multiple Linear Regression
    Wang, Jing
    Zhao, Yi
    Li, Wenzhi
    Wang, Fei
    Fei, Zesong
    Xie, Xiang
    ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2015, PT I, 2015, 9314 : 688 - 698
  • [32] The Predicting Model of Urban Residents' Pension Income and Expenditure based on Multiple Linear Regression
    Liu Yuanjing
    Shi Xiaotao
    Gang Jiatai
    Proceedings of the 2016 6th International Conference on Applied Science, Engineering and Technology (ICASET), 2016, 77 : 363 - 368
  • [33] Contact Temperature Prediction of High Voltage Switchgear Based on Multiple Linear Regression Model
    Feng, Xuan
    Zhou, Yuyan
    Hua, Tong
    Zou, Ying
    Xiao, Jiangwen
    2017 32ND YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION (YAC), 2017, : 277 - 280
  • [34] Vibration prediction and analysis of the main beam of the TBM based on a multiple linear regression model
    Yalei Yang
    Lijie Du
    Qingwei Li
    Xiangbo Zhao
    Zhihua Ni
    Scientific Reports, 14
  • [35] Higher Education Funding Policies in the BSR Countries and Higher Education Tuition Expenses and Thematic Field Indices in Latvia
    Erina, Jana
    Erins, Ingars
    Berzins, Gundars
    VISION 2020: INNOVATION MANAGEMENT, DEVELOPMENT SUSTAINABILITY, AND COMPETITIVE ECONOMIC GROWTH, 2016, VOLS I - VII, 2016, : 3771 - 3782
  • [36] Breathing rate estimation based on multiple linear regression
    Li, Wenbo
    Chen, Ziyang
    COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING, 2022, 25 (07) : 772 - 782
  • [37] Mine Location Algorithm based on Multiple Linear Regression
    Wang, Xiaoying
    Chen, Yingge
    INFORMATION TECHNOLOGY FOR MANUFACTURING SYSTEMS II, PTS 1-3, 2011, 58-60 : 1830 - 1835
  • [38] An effective multiple linear regression-based forecasting model for demand-based constructive farming
    Balaji Prabhu B.V.
    Dakshayini M.
    International Journal of Web-Based Learning and Teaching Technologies, 2020, 15 (02) : 1 - 18
  • [39] The price of higher education: how rational is British tuition fee policy?
    Miller, Brian
    JOURNAL OF HIGHER EDUCATION POLICY AND MANAGEMENT, 2010, 32 (01) : 85 - 95
  • [40] Development challenges, tuition barriers, and high school education in China
    Liu, Chengfang
    Zhang, Linxiu
    Luo, Renfu
    Rozelle, Scott
    Sharbono, Brian
    Shi, Yaojiang
    ASIA PACIFIC JOURNAL OF EDUCATION, 2009, 29 (04) : 503 - 520