Author(s)

Shoudu Xie, Fei Zhou and Xuanfeng Xu

Corresponding Author

Shoudu Xie

Abstract

This paper analyzes the impact of domestic tourism revenue influencing factors on domestic tourism revenue based on multiple linear regression models. First, perform the stationarity test of each variable, the unit root test, and then find that they are all second-order single-order sequences of the same order. Then the covariate test is carried out on the variables, and the relationship between domestic tourism income and each explanatory variable is obtained, and compared with the actual data. Finally, the direction of improvement of this program can be analyzed, and relevant policy recommendations are proposed for the development of the tourism industry.

Keywords

Multiple linear regression, Multicollinearity, Autocorrelation, Tourism Industry