Study on the regression analysis of the wellbeing for rural residents in Jilin Province

In this paper, multinomial logistic regression analysis is used to construct regression model of the wellbeing of rural residents in Jilin province. First, take five values of the satisfaction degree P of the well-being of rural residents: very satisfied, satisfied, generally satisfied, dissatisfied, very dissatisfied, and they are ordered variable. The independent variables are the factors which have a significant effect on the well-being of rural residents in the single-factor test, including age, education, health, economic status, family life, agricultural production and infrastructure. Using application software SPSS13.0 for statistical analysis according to the survey data, the result of regression analysis is consistent to the real well-being of rural residents in Jilin province.