A multiple regression analysis produced the following tables. Summary Output                     Regression Statistics                     Multiple R   0.978724022                 R Square   0.957900711                         Adjusted R Square   0.952287472                 Standard Error   67.67055418                 Observations   18                                             ANOVA                         df   SS   MS   F   Significance F Regression   2   1562918.941   781459.5   170.6503   4.80907E-11 Residual   15   68689.55855   4579.304         Total   17   1631608.5                                       Coefficients   Standard Error   t Stat   P-value     Intercept   1959.709718   306.4905312   6.39403   1.21E-05     X1   -0.469657287   0.264557168   -1.77526   0.096144     X2   -2.163344882   0.278361425   -7.77171   1.23E-06     Using α = 0.01 to test the model, these results indicate that ____________.

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A multiple regression analysis produced the following tables.

Summary Output                    
Regression Statistics                    
Multiple R
  0.978724022                
R Square
  0.957900711                        
Adjusted R Square
  0.952287472                
Standard Error
  67.67055418                
Observations
  18                
                           
ANOVA                    
   
df
 
SS
 
MS
 
F
 
Significance F
Regression
 
2
  1562918.941  
781459.5
 
170.6503
 
4.80907E-11
Residual
 
15
  68689.55855  
4579.304
       
Total
 
17
  1631608.5            
                     
   
Coefficients
 
Standard Error
 
t Stat
 
P-value
   
Intercept
 
1959.709718
 
306.4905312
 
6.39403
 
1.21E-05
   
X1
 
-0.469657287
 
0.264557168
 
-1.77526
 
0.096144
   
X2
 
-2.163344882
 
0.278361425
 
-7.77171
 
1.23E-06
   



Using α = 0.01 to test the model, these results indicate that ____________.

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