The following chart   Regression Statistics         Multiple R 0.896207         R Square 0.803187         Adjusted R Square 0.775071         Standard Error 10.31462         Observations 9                     ANOVA             df SS MS F Significance F Regression 1 3039.26 3039.26 28.5668 0.001070199 Residual 7 744.7395 106.3914     Total 8 3784                     Coefficients Standard Error t Stat P-value Lower 95% Intercept 92.26212 7.55045 12.21942 5.63E-06 74.40814014 X Variable 1 -2.36029 0.441605 -5.34479 0.00107 -3.404514314   shows a:       very strong positive correlation     very weak correlation     very strong negative correlation     we don't have the necessary information to evaluate the level of correlation

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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The following chart

 

Regression Statistics        
Multiple R 0.896207        
R Square 0.803187        
Adjusted R Square 0.775071        
Standard Error 10.31462        
Observations 9        
           
ANOVA          
  df SS MS F Significance F
Regression 1 3039.26 3039.26 28.5668 0.001070199
Residual 7 744.7395 106.3914    
Total 8 3784      
           
  Coefficients Standard Error t Stat P-value Lower 95%
Intercept 92.26212 7.55045 12.21942 5.63E-06 74.40814014
X Variable 1 -2.36029 0.441605 -5.34479 0.00107 -3.404514314

 

shows a:

 

   

very strong positive correlation

   

very weak correlation

   

very strong negative correlation

   

we don't have the necessary information to evaluate the level of correlation

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