基于多元线性回归模型的国内旅游消费分析  

Analysis of Domestic Tourism Consumption Based on Multiple Linear Regression Model

作　　者：刘振中[1] 

机构地区：[1]天津大学管理与经济学部,天津300072

出　　处：《重庆理工大学学报（自然科学）》2016年第6期167-170,共4页Journal of Chongqing University of Technology：Natural Science

基　　金：国家自然科学基金资助项目(71102139)

摘　　要：选取我国2003—2012年间的国内旅游消费情况相关数据,分析影响我国国内旅游消费水平的主要因素,建立并求解了以国内旅游消费为因变量,以居民人均可支配收入、游客人均消费和旅行社数量为自变量的多元线性回归模型。结果表明:国内旅游消费与居民可支配收入、游客人均消费呈现正相关关系,与旅行社数量呈现负相关关系。This paper selected domestic tourism consumption data during 2003-2012,and analyzed the main factors affecting the consumption level of domestic tourism in China,and established and solved the multiple linear regression models,taking domestic tourism consumption as dependent variable and taking per capita disposable income,and per capita consumption of tourists and travel agency as dependent variables. The results show that there is significant positive correlation between domestic tourism consumption and residents＇ disposable income,per capita,and there is significant negative correlation between tourist consumption and the number of travel agencies.

关 键 词：国内旅游消费 多元线性回归模型 影响因素 

分 类 号：O21[理学—概率论与数理统计]