摘要
利用SPSS软件的多重线性回归模型研究分析了广西各地市主要农产品价格与首府南宁市主要农产品价格的关系,同时以南宁市猪肉价格为例分别进行普通线性回归分析和时间序列自回归过程分析。结果表明,南宁市农产品价格受桂林、贺州和来宾市农产品价格影响较大;时间序列自回归分析模型对南宁市猪肉价格的预测效果较普通线性回归分析模型理想,可在一定时间内对南宁市猪肉价格进行预测。
The present study used multiple linear regression model of SPSS software to find out the relationship between comprehensive prices of agricultural products in Nanning and other cities of Guangxi.Meanwhile,pork price in Nanning City was predicted by using ordinary regression model and time series autoregressive model of SPSS software.The results showed that the comprehensive prices of agricultural products in Nanning City were mainly affected by prices of agricultural products of Guilin,Hezhou and Laibin City.The time series autoregressive model showed a better effect in predicting pork price of Nanning City compared with ordinary regression model.It could be used to predict the pork price in Nanning City within a certain time.
出处
《广西农业科学》
CSCD
2010年第8期862-865,共4页
Guangxi Agricultural Sciences
基金
广西科学基金项目(桂科青0991046)
关键词
农产品价格
多重线性回归分析
普通回归分析
时间序列自回归分析
广西
agricultural product price
multiple linear regression analysis
ordinary regression analysis
time series autoregressive analysis
Guangxi
