摘要
本文从对老龄化起决定作用的出生率和死亡率这两个方面出发,选取了5个间接影响因素指标,通过SPSS软件对数据进行整理分析,得出了我国人口老龄化的多元线性数学模型,模型具有较高的预测准确度,可以用来预测未来我国人口老龄化的发展趋势和指导相关部门作好应对人口老龄化的工作。
In this paper, we select five indirect influence factors from two aspects which play decisive roles of aging of population, including birth rate and death rate. We obtain a multiple linear regression model of aging population by analyzing the data with SPSS. The model has high prediction accuracy, it can be used to predict the development trend of Chinese aging population and guide relevant departments to prepare for the aging population.
出处
《科技视界》
2012年第11期3-5,共3页
Science & Technology Vision
关键词
老龄化
影响因素
多元线性回归
SPSS
Aging population
Influence factors
Multiple linear regression model
SPSS