Implication of Multi-Linear Regression in Forecasting FIT Flow of World Expo

With World Expo opening in Shanghai,it is important for Chinese government to forecast the number of daily admission to improve the quality of service.FIT daily flow is influenced by weather expected,the amount of information received,the weekend factor,day factor designated,passenger groups and other variables.Through multiple linear regression and partial correlation analysis of FIT flow,and comparison of regression value between the observation period and the observation period with the forecast value and true value of two weeks,it was found that the multiple linear regression models need to be expanded to include other forecast elements modified to improve forecast accuracy.Meanwhile,with time passing by,the factors affecting the daily FIT flow were continuously increased and many inexplicable random factors came into existence,for which the model needs to be modified.In short,to continuously improve the forecasting accuracy,it is necessary to forecast the number of daily admission so as to help optimize resource allocation.