Logistics quantity forecast based on factor analysis and logistic model

The factor analysis of Chinese logistics quantity and its influencing factors from 2006 to 2015 Using SPSS software, a multivariate statistical analysis model is established, which takes the object flow as the interpreted variable. The factor analysis method is adopted to reduce the dimension of the influence factors of the logistics quantity, reduction approach with the purpose of eliminating the multrcollinearity resulting from variables logistics quantity. Furthermore, a logisticbased forecast model is set up accordingly to further predict the future logistics quantity in China. The empirical results show that the longer-period Comprehensive economic Development Value value has less forecasting error.