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

机译:基于中国多重线性回归模型的高等教育学费

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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.
机译:高等教育与人才的培育,提高国家创新能力,以及建立和谐社会的整体情况,所以中国政府和共产党,以及社会所有部门都有很多关注和关注它。高等教育核心指数是教育质量。在为不同的专业设定不同的目标之后,有必要为教育质量提供适当的资金担保。在本文中,在合理的假设的基础上建立了多元线性回归模型,然后可以使用EVIEWS软件来获得平均学费的范围,然后对国家资金进行敏感性分析,占1 / 4在学生的培训费用中。从上述结果来看,所有高校和大学的学费都在我国合理,平均学费与国家资金带来了对国家资金的负面相关。通过结论,我们获得的是,当国家资金上涨100元时,平均学费将减少95元。

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