The application of Multivariate Statistical Analysis in the economic benefits of Starbucks stores in Xi'an
The economic benefit is the main criterion for the development of enterprises.On the base of the store sales data of Xi'an Huaqing Plaza store in 2019,this paper uses specific indicators and standards and multivariate statistical methods to evaluate and objectively evaluate the economic benefits of Xi'an and Baoji Starbucks stores.Firstly,the index system and the evaluation model are established according to the stepwise regression method and the principal component analysis method so that the daily sales situation of the stores is obtained.Secondly,the indicator system is updated based on the individual monthly data from 19 Starbucks stores in Xi'an and Baoji and the data from public comment platform.Then it makes use of the cluster analysis,principal component analysis and entropy weight method to rank the economic benefits of these stores,and thus draws to a conclusion that the more geographically prosperous the store is,the better the economic benefit will be.This paper confirms the position of the economic benefit of Huaqing Plaza store among the stores in Xi'an and Baoji,and hopes to provide guiding suggestions for the future sales direction of Starbucks stores.
NETL
NSTL
万方数据
