y	x1	x2	x3	x4	x5	x6	x7	x8	x9
2007	10539665	1246968	1845157	499056	1590145	217303	1000870	487998	584991	455968
2008	14285208	1365930	2649055	783906	2455574	318074	1462918	542268	867798	587158
2009	18416388	2260077	3109646	1258329	2870973	408872	2207212	1093997	970734	795011
2010	22188283	2239864	3777877	1566560	3156139	478599	2671563	1290573	1268445	828806
2011	29308100	2651629	5294599	1976141	3654323	612659	3337852	3134164	1471330	961304

这个是我的数据，想做多元线性回归，但是结果是这样的:        

Variables Entered/Removed

     
        

Model

      

Variables Entered

   

Variables Removed

   

Method

  
     

1

   

VAR00010, VAR00008, VAR00004, VAR00009, VAR00005a

   

.

   

Enter

  
      

a. Tolerance = .000 limits reached.

            

Model Summaryc,d

     
        

Model

      

R

   

R Squareb

   

Adjusted R Square

   

Std. Error of the Estimate

  
     

1

   

1.000a

   

1.000

   

.

   

.

  
        

a. Predictors: VAR00010, VAR00008, VAR00004,   VAR00009, VAR00005

     
        

b. For regression through the origin (the   no-intercept model), R Square measures the proportion of the variability in   the dependent variable about the origin explained by regression. This CANNOT   be compared to R Square for models which include an intercept.

     
        

c. Dependent Variable: VAR00001

     
      

d. Linear Regression through the Origin

           

Coefficientsa,b

     
        

Model

      

Unstandardized Coefficients

   

Standardized Coefficients

   

  
     

B

   

Std. Error

   

Beta

   

t

   

Sig.

  
     

1

   

VAR00004

   

.337

   

.000

   

.022

   

.

   

.

  
     

VAR00005

   

-.902

   

.000

   

-.128

   

.

   

.

  
     

VAR00008

   

2.145

   

.000

   

.174

   

.

   

.

  
     

VAR00009

   

10.639

   

.000

   

.573

   

.

   

.

  
     

VAR00010

   

9.946

   

.000

   

.371

   

.

   

.

  
        

a. Dependent Variable: VAR00001

     
      

b. Linear Regression through the Origin

   为什么有些指标被剔除掉了？