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Application of Multivariate Regression of Multifactorial Variables in the Standard Model of the Minimum Living Security - Take Beijing and Shanghai as Examples

  • Niu, Jiayan
  • Zheng, Jingyao
The minimum living security system is a typical way of social relief, providing material assistance to some vulnerable groups of society, which is related to social harmony, stability, fairness and justice. However, the model of accurate subsistence standards has not yet been established, so accurate subsistence standards in each province and city is a problem that needs to be solved. In 2016, this paper collected the minimum subsistence standards, per capita consumption expenditure and per capita disposable income of 30 provinces and cities across the country. The multivariate regression model is used to analyze the standard model and the data is analyzed by using R language and SAS software to provide research value for the establishment of accurate subsistence model.
Select Volume / Issue:
Year:
2019
Type of Publication:
Article
Keywords:
Low Security Standard Cluster Analysis Multiple Regression Model R Software and SAS Software
Journal:
IJASM
Volume:
6
Number:
4
Pages:
120-122
Month:
July
ISSN:
2394-2894
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