(1)   Descriptive Statistics (2)  Correlations  

(3)   Variables Entered/Removeda
  Mean Std. Deviation N   model x_1 x_2 x_3   Model Variables Entered Variables Removed Method
model 2.7200 .43744 10 Pearson Correlation model 1.000 .738 .760 .761   1 x_1b   Enter
x_1 75.20 11.419 10 x_1 .738 1.000 .734 .852   2 x_2b   Enter
x_2 75.90 12.547 10 x_2 .760 .734 1.000 .858   3 x_3b   Enter
x_3 80.10 8.608 10 x_3 .761 .852 .858 1.000   a. Dependent Variable: model
Sig. (1-tailed) model   .007 .005 .005   b. All requested variables entered.
  x_1 .007   .008 .001    
        x_2 .005 .008   .001        
        x_3 .005 .001 .001          
        N model 10 10 10 10        
        x_1 10 10 10 10        
  x_2 10 10 10 10        
  x_3 10 10 10 10        
       
(4)     Model Summaryd        
Model R R Square Adjusted R Square Std. Error of
 the Estimate		 Change Statistics        
R Square Change F Change df1 df2 Sig. F Change        
1 .738a .545 .488 .31308 .545 9.570 1 8 .015        
2 .805b .648 .548 .29411 .104 2.065 1 7 .194        
3 .807c .651 .477 .31634 .003 .051 1 6 .829        
a. Predictors: (Constant), x_1        
b. Predictors: (Constant), x_1, x_2        
c. Predictors: (Constant), x_1, x_2, x_3        
d. Dependent Variable: model        
       
 (5)    ANOVAa        
Model Sum of Squares df Mean Square F Sig.    (6)     Excluded Variablesa
1 Regression .938 1 .938 9.570 .015b Model Beta In         t Sig. Partial Correlation Collinearity Statistics
Residual .784 8 .098     Tolerance
Total 1.722 9       1 x_2 .474b         1.437 .194 .477 .462
2 Regression 1.117 2 .558 6.455 .026c x_3 .481b         1.065 .322 .373 .274
Residual .605 7 .086     2 x_3 .137c         .225 .829 .092 .157
Total 1.722 9       a. Dependent Variable: model
3 Regression 1.122 3 .374 3.737 .080d

b. Predictors in the Model: (Constant), x_1

c. Predictors in the Model: (Constant), x_1, x_2
Residual .600 6 .100      
Total 1.722 9              
a. Dependent Variable: model        
b. Predictors: (Constant), x_1        
c. Predictors: (Constant), x_1, x_2        
d. Predictors: (Constant), x_1, x_2, x_3        
       
   (7)     Coefficientsa        
Model Unstandardized Coefficients Standardized Coefficients t Sig. Correlations        
B Std. Error Beta Zero-order Partial Part        
1 (Constant) .594 .694   .855 .417              
x_1 .028 .009 .738 3.094 .015 .738 .738 .738        
2 (Constant) .342 .675   .506 .629              
x_1 .015 .013 .390 1.183 .275 .738 .408 .265        
x_2 .017 .012 .474 1.437 .194 .760 .477 .322        
3 (Constant) .157 1.096   .143 .891              
x_1 .012 .018 .324 .704 .508 .738 .276 .170        
  x_2 .014 .016 .405 .862 .422 .760 .332 .208              
x_3 .007 .031 .137 .225 .829 .761 .092 .054        

a. Dependent Variable: model

Equations is Y= 0.594 + 0.028 x_1, Y = 0.157+ 0.012 x_1+ 0.014 x_2+ 0.007 x_3