摘要
近年来,房地产发展迅速,存在着产生泡沫的危险,对未来房地产的预测,有利于制定房地产政策,避免房地产泡沫的产生。本文就影响房地产需求的因素进行了分析,在此基础上,以金华市为例,采用多种预测方法分别建立了相关因素变量的预测模型,再运用组合预测方法得出更科学的预测结果。
Real estates has developed fast in recent years,which includes danger of scum.Prediction of coming real estates is good for working out right policies so as to avoid over-building houses.This paper analyzes factors that affect the real estates,based on which,by taking JinHua City as an example and adopting many ways of prediction,it sets up a variables predictive model on related factors.Finally it uses the method of combinative prediction and gets a more scientific result.
出处
《金华职业技术学院学报》
2007年第4期24-27,共4页
Journal of Jinhua Polytechnic
基金
浙江师范大学自然科学基金资助项目(kj20060412)
关键词
回归预测
房地产需求
因果分析
SPSS回归分析
regress prediction
need of real estate
cause and effect analysis
SPSS regression