Abstract
R is a software system which can be used for data processing, calculation and mapping. The syntax of this language is superficially similar to C, but semantically it is functional programming language. It is widely used in statistical analysis. So this paper used it to analyze China domestic tourism consumption data during 1999-2015, and analyzed the main factors affecting the consumption level of domestic tourism in China from residents’ disposable income, GDP, per capita consumption of tourists, tourists, the mileage of railways and the number of travel agencies. Finally it established and solved the multiple linear regression models, taking domestic tourism consumption as dependent variable and taking GDP, and per capita consumption of tourists, the number of tourists and the mileage of railways as dependent variables. The results show that there is significant positive correlation between domestic tourism consumption, GDP, per capita consumption of tourists, the number of tourists and the number of travel agencies.
Highlights
Liu Shenzhen’s "Analysis of Domestic Tourism Consumption Based on Multiple Linear Regression Model" published on The Journal of Chongqing University of Technology (Natural Sciences) in June 2016, selecting data on domestic tourism consumption in China from 2003 to 2012, used a multiple linear regression model with domestic tourism consumption as the dependent variable and per capita disposable income, tourist per capita consumption, and number of travel agencies as independent variables to analyze factors affecting China's domestic tourism consumption
The paper concludes that: Domestic tourism consumption is positively correlated with disposable income of residents and per capita consumption of tourists, and negatively related to the number of travel agencies [1]
This paper holds the idea of verifying results and expands the selection time of variables, sorts out relevant literature from previous scholars, and increases the number of independent variables based on the preservation of the author's original variables, thereby performing a regression analysis of the equations
Summary
Liu Shenzhen’s "Analysis of Domestic Tourism Consumption Based on Multiple Linear Regression Model" published on The Journal of Chongqing University of Technology (Natural Sciences) in June 2016, selecting data on domestic tourism consumption in China from 2003 to 2012, used a multiple linear regression model with domestic tourism consumption as the dependent variable and per capita disposable income, tourist per capita consumption, and number of travel agencies as independent variables to analyze factors affecting China's domestic tourism consumption. This paper holds the idea of verifying results and expands the selection time of variables, sorts out relevant literature from previous scholars, and increases the number of independent variables based on the preservation of the author's original variables, thereby performing a regression analysis of the equations
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