journal6 ›› 2012, Vol. 33 ›› Issue (2): 24-27.DOI: 10.3969/j.issn.1007-2985.2012.02.007
• 数学 • 上一篇 下一篇
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中央高校基本科研经费专题研究项目(SWJTU09ZT37)
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摘要：利用SPSS软件，将4个衡量房价的指标作为影响商品房现房销售额的因子,并依据多元线性回归的思想构建了房价模型.在残差序列的纯随机检验中，可知残差累计概率图是围绕基准线波动，样本自相关系数逐渐衰减为0，残差序列基本满足不存在自相关关系,从而说明该模型是合理的.
关键词： 多元回归, 拟合优度, 残差分析, 异方差分析
Abstract: With SPSS software,this paper treated the four indexes used to measure house prices as the factors to affect the sales amount of the completed apartments of commercial houses.A price model was constructed based on the idea of multiple linear regression.It can be seen that the residual cumulative probability plots are fluctuations around the baseline in the residual sequence of pure random test,the sample autocorrelation coefficient gradually decreases to zero,and basically there is no autocorrelation about residual series.
Key words: multiple regression, goodness of fit, residual analysis, analysis of different variance
林薇, 何平, 曹灿. 一类基于多元回归的房价模型[J]. journal6, 2012, 33(2): 24-27.
LIN Wei, HE Ping, CAO Can. A Class of House Prices Model Based on Multiple Regression[J]. journal6, 2012, 33(2): 24-27.
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链接本文: https://zkxb.jsu.edu.cn/CN/10.3969/j.issn.1007-2985.2012.02.007
https://zkxb.jsu.edu.cn/CN/Y2012/V33/I2/24
