The Design And Implementation Of Restaurant Location Around University Model Based On Multiple Linear Regression

In recent years,China's catering industry is developing very rapidly,especially those around the colleges and universities.At the same time,the restaurant industry threshold is very low,so the competition is becoming more and more stiff.For investors,in a certain area,What is best for the choice of restaurant features,some problems such as scale and the restaurant's location is very important,too.The location theory research at home and abroad has been very mature,but the research on the location of the restaurant is not much,one of the few studies also due to the lack of technical tools support,or because the data is not easy to get,so that most of these theories and methods only theoretical discussion,not applied to the location of the restaurant in practice。In this paper,we study a restaurant location algorithm based on multiple linear regression analysis.Our design based on the location theory of abroad study and reference,based on centre and minimum difference of location theory,using the method of multiple regression analysis,combined with Mahajan's saturated growth curve for retailers in different market should take shop expansion strategy.We make improvement on the CKE model.In the process of analysis,we choose more impact factors.And we use panda acquisition software to collect data on the online shopping website information.With these we make the more accurate prediction of the dining location model.After the inspection of the model,the results show that the model through the multicollinearity heteroscedasticity Goodness of fit and significance test,and after using the collected data to validate the equation,obtained the equation 's feasibility and accuracy.According to the algorithm we design an experimental platform,the platform adopts the model of UGC,namely user generated content,can be continuously updated and increase data.The platform can accurately forecast the turnover of a store in the future and can also predict the most suitable operations about the restaurant features and scale,the best location of the restaurant,within an area.In this paper,the location theory of multivariate linear regression analysis,method of SPSS data analysis,software and software development and related technology is used to explore and design a kind of restaurant location algorithm,around colleges and universities,based on multivariate linear regression,through the data to validate the feasibility and accuracy of the algorithm..Based on the design of algorithm,we developed a college restaurant location prediction platform based on multiple linear regression,the platform running results show that the platform can more accurately predict the location of the restaurant features...