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.
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.
出处
《吉首大学学报(自然科学版)》
CAS
2012年第2期24-27,共4页
Journal of Jishou University(Natural Sciences Edition)
基金
中央高校基本科研经费专题研究项目(SWJTU09ZT37)
关键词
多元回归
拟合优度
残差分析
异方差分析
multiple regression
goodness of fit
residual analysis
analysis of different variance