Analyze at least two of the X variable’s correlation level with Y variable.  Explain the correlation based upon the p test. Use the summary output for the data, which is found below: SUMMARY OUTPUT                                   Regression Statistics               Multiple R 0.807187704               R Square 0.651551989               Adjusted R Square 0.644440805               Standard Error 143.9428959               Observations 51                                 ANOVA                   df SS MS F Significance F       Regression 1 1898399.614 1898399.614 91.62356067 8.42534E-13       Residual 49 1015258.307 20719.55729           Total 50 2913657.922                                 Coefficients Standard Error

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Analyze at least two of the X variable’s correlation level with Y variable.  Explain the correlation based upon the p test. Use the summary output for the data, which is found below:

SUMMARY OUTPUT                
                 
Regression Statistics              
Multiple R 0.807187704              
R Square 0.651551989              
Adjusted R Square 0.644440805              
Standard Error 143.9428959              
Observations 51              
                 
ANOVA                
  df SS MS F Significance F      
Regression 1 1898399.614 1898399.614 91.62356067 8.42534E-13      
Residual 49 1015258.307 20719.55729          
Total 50 2913657.922            
                 
  Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept 261.5485536 27.57166533 9.486135513 1.13E-12 206.1412177 316.9558895 206.1412177 316.9558895
X Variable 1 33.76479325 3.527447122 9.572019676 8.42534E-13 26.67612287 40.85346364 26.67612287 40.85346364
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