Research on the Mathematical Statistical Relationship between Children’s Income and the Support Accepted by the Elderly through Regression Model and Big Data Analysis

This paper uses the 2018 survey data from the China Health and Senior Care Tracking Survey (CHARLS) project database to construct a statistical model through regression methods. The study found that there is a statistically significant positive correlation between rural middle-aged and elderly people and their children’s economic exchanges and children’s income levels. At the same time, this study explains the reasons for the results of this statistical model, and based on the mathematical statistical conclusions of this paper, provides policy recommendations for enhancing the welfare of the rural middle-aged and elderly people: under the background that the Chinese government’s old-age security is still playing a bottom line, it should promote employment, Taxation policies and other methods to increase the disposable income level of rural middle-aged and elderly children, in order to promote their economic support for rural middle-aged and elderly people, improve the living standards and well-being of rural middle-aged and elderly people, and properly cope with the current serious aging in rural areas problem.