3、nearregressionmodelanditsapplicationMengxiangmei(CollegeofmathematicalandStatisticalSciences，Statistics，Class1002，20102111977)Abstract:14鲁东大学本科毕业论文this article analyzes the multivariate linear regression model and its application, focusing on the multiple line
4、ar regression model prediction. First introduces the model of multivariate linear regression model of step roughly model, basic assumptions, inspection, and prediction ability of the model. , in the process of the establishment of the model test is the core of
5、 the modeling, model testing including fitting test, F test and t test. If has failed t test on initial model, based on the method of eliminating backward without significant variables, how far to establish linear regression model. Then, based on the 2005, 200
6、5 China's 31 provinces, municipalities and autonomous regions of fiscal expenditure data and data across our country gross domestic product in 2005, set up multiple linear regression model, predict our country gross domestic product in 2006, compared with the
7、actual data and forecast data analysis. Try to understand the multiple linear regression models and its application by example analysis .Mathematical modeling in the process of using mathematics software SPSS and MATLAB operations.Keywords:Multiplelinearregres
