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

页码：1278 / 1281

页数：4