基于多元回归分析的河南省居民消费价格指数的数学模型

为了确定河南省居民消费价格指数与商品零售价格指数,农业生产资料指数,工业品出厂价格指数,原材料、燃料及动力购进价格指数,固定资产投资价格指数这5个指标之间的关系,通过收集相关数据,建立河南省居民消费体价格指数的多元回归模型,运用SAS对河南省居民消费价格总指数进行多元回归分析,得出居民消费价格总指数与这5个指标之间存在线性关系.对其进行了理论阐述和实际检验,结果显示该模型模拟精度达到97.862 49%,可用于河南省居民消费价格指数的预测.

A Mathematical Model of Consumer Price Index in Henan Province Based on Multiple Regression Analysis

In order to get the relationship among the Consumer Price Index with the five indicators in Henan Province,such as retail price index,price index for means of agricultural production,price index for manufactured goods,price index for raw materials,fuel and power,and the price index of investment in fixed assets,the multiple regression model on Consumer Price Index in Henan Province was established by collecting the data and using SAS software,the Consumer Price Total Index in Henan Province by multiple regression analysis was analyzed.There was a linear relationship among Consumer Price Index with the five indicators,then,the model was tested from the theoretical and practical side.The results show that the accuracy of model reach to 97.862 49%,so it can be used to forecast Consumer Price Index in Henan Province.