Abstract: A kind of rebar price analysis as well as prediction model based on multiple linear regression analysis was proposed by means of analyzing the upstream and downstream relationship of rebar industrial chain in futures black line variety.Firstly,the data of major factors influencing rebar price is collected,including coke futures settlement price,coking coal futures settlement price,iron ore futures settlement price,hot rolled futures settlement price,and central parity rate of RMB to USD.Later,these influencing factors are analyzed through scatter diagram and rend line to determine influencing factors.The multiple linear regression model based on least square method is constructed by virtue of SPSS and NCSS,and the collected data.Meanwhile,the collinearity among independent variables are moved through ridge regression to obtain revised model.At last,this model is applied to carry out accurate prediction of rebar price on trade day in the next month.The experiment indicates that the fitting degree of this model is higher with certain practicability.

Key words: Multiple linear regression,Rebar price,Least-square method,Ridge regression