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基于逐步回归模型拟合房价预测模型 被引量:1

Fitting house price forecasting model based on stepwise regression model
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摘要 本文基于逐步回归模型来拟合房价预测模型,对全国的综合房价、以北京市为代表的发达省份、以海南省为代表的半发达省份和以江西省为代表的发展中省份均进行拟合和预测,再进行比较,得出结论:长期来看房价普遍会上涨,而从短期来看全国的综合房价和以江西省为代表的发展中省份的房价将会下跌,以北京市为代表的发达省份和以海南省为代表的半发达省份的房价将会继续上涨。 This paper is based on the stepwise regression model to fit the house price forecasting model.The comprehensive housing prices in the country,the developed provinces represented by Beijing,the semi-developed provinces represented by Hainan Province,and the developing provinces represented by Jiangxi Province are fitted.And forecast,and then compare,and conclude that housing prices will generally rise in the long run,and in the short term,the comprehensive housing prices in the country and the prices of developing provinces represented by Jiangxi Province will fall,represented by Beijing.Housing prices in developed provinces and semi-developed provinces represented by Hainan Province will continue to rise.
作者 张双妮 Zhang Shuangni(Jiangxi University of Finance and Economics,330013)
机构地区 江西财经大学
出处 《现代农业研究》 2019年第2期124-125,共2页 Modern Agriculture Research
关键词 房价预测 逐步回归模型 house price forecast stepwise regression model
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