International Journal of Engineering, Science and Mathematics
  • Year: 2018
  • Volume: 7
  • Issue: 9

The analysis of the civil aviation passenger traffic based on the improved multiple linear regression model

  • Author:
  • Fenghua Xu, Liguo Huang
  • Total Page Count: 8
  • Page Number: 28 to 35

College of Science, Binzhou University, Binzhou, China

*Author correspondence: Fenghua Xu, College of Science, Binzhou University, Binzhou, China

Online published on 7 May, 2019.

Abstract

By weakening the correlation between variables,the general multivariate linear regression model is improved. Based on the improved multivariate linear regression analysis, a regression model of civil aviation passenger volume is 2154 established. And the regression model of civil aviation passenger volume gives the influence of different influencing factors on civil aviation passenger volume, and forecasts the passenger volume of civil aviation. The improved general multivariate linear regression model can weaken the influence of multicollinearity regression model and can got more reasonable results for economic structural analysis.

Keywords

Multicollinearity, Multiple linear regression Model, Total sum of squares, The civil aviation passenger traffic, Forecast