多元线性回归模型在房价走势分析与预测中的应用  

Application of Multiple Linear Regression Model in Analysis and Forecast of House Price Trend

作　　者：钟丽燕[1] 高淑兰[1] 

机构地区：[1]百色学院数统学院

出　　处：《科技创业月刊》2017年第9期94-96,共3页Journal of Entrepreneurship in Science & Technology

基　　金：广西高校中青年教师基础能力提升项目(项目编号:KY2016LX348)

摘　　要：文章通过对广西南宁市房价及其影响因素的历史数据进行收集和整理,分析南宁市的人均地区生产总值、商品房销售面积、房地产开发投资额、财政收入、城镇居民人均可支配收入、城镇人口等因素对房价的影响。利用逐步回归的方法建立关于房价走势的分析与预测的多元线性回归模型,并对模型进行相应的检验及分析。In this paper, the factors Per capita GDP, Selling space of commercial Houses, Investment in Real Estate Development , Finance revenue, Per capita Annual Disposable Income of Urban Households, Urban Population and so on which have a certain impact on the price of houses were analyzed, by the data about the price of houses and its influencing factors o f Nanning Guangxi which were sorted out and selected. I t established an equation of multiple l inear regression base on the step wise regression to analysis and forecast the trend of housing prices, in addition, corresponding test and analysis were given to the model.

关 键 词：多元线性回归 房价预测 房价走势 

分 类 号：F293.3[经济管理—国民经济]