Home > Papers

 
 
A Predictive Analysis of Wuhan Logistics Demand Based on Multiple Linear Regression Model
DING Qi *
School of Management,Wuhan University of Science and Technology,Wuhan 430065
*Correspondence author
#Submitted by
Subject:
Funding: none
Opened online: 8 April 2021
Accepted by: none
Citation: DING Qi.A Predictive Analysis of Wuhan Logistics Demand Based on Multiple Linear Regression Model[OL]. [ 8 April 2021] http://en.paper.edu.cn/en_releasepaper/content/4754016
 
 
Data of Wuhan logistics demand from 2009 to 2019 was collected, uses the measurement software Stata to conduct statistical analysis of the data and test and modify the model, selects the optimal explanatory variable, and establishes and identifies the factors affecting the Wuhan logistics Demand as a multiple linear regression model. The result shows that the output value of the secondary industry is an important factor affecting wuhan logistics demand, and it is predicted that the overall logistics demand of Wuhan will show a rising trend in the next few years.
Keywords:Logistics Demand; Stata; Statistical Analysis; Multiple Linear Regression
 
 
 

For this paper
  • ● PDF (0B)
  • ● Revision 0 　　
  • ● Print this paper
  • ● Recommend this paper to a friend
  • ● Add to my favorite list

    Saved Papers

    Please enter a name for this paper to be shown in your personalized Saved Papers list

Tags
Add yours

Related Papers

Statistics
PDF Downloaded 8
Bookmarked 0
Recommend 0
Comments Array
Submit your papers