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Cape San Blas manages rental beach properties during the summer season for property owners. They would like to determin if a relationship exists between the squate footage of beach property and the weekly rental rates during the summer season. Simple regression analysis was performed using a random sample of beach properties with the results shown below.

SUMMARY OUTPUT          
             
Regression Statistics          
Multiple R 0.4738          
R Square 0.2245          
Adjusted R Square 0.1599          
Standard Error 298.08          
Observations 14          
             
ANOVA            
  df SS MS F Significance F  
Regression 1 308653.6 308653.6 3.47 0.087  
Residual 12 1066189 88849.1      
Total 13 1374843        
             
  Coefficients Standard Error t Stat P-value Lower 95% Upper 95%
Intercept 817.0948 359.62 2.272 0.0423 10.74532753 33.553
Sales 0.328 0.176 1.8638 0.087 -0.055 0.711

Which one of the following statements is true using alpha = 0.05

a. Because the p -value for the slope is 0.0423, we can reject the null hypothesis and conclude that there is a relationship between the weekly rental and square footage of beach property.
b. Becsuse the p -value for the slope is 0.0423, we fail to reject the null hypothesis and conclude that there is a relationship between the weekly rental and square footage of beach property.
c. Because the p-value for the slope is 0.0870, we can reject the null hypothesis and conclude that there is a relationship between the weekly rental and square footage of beach property.
d. Because the p -value for the slope is 0.0870, we fail to reject the null hypothesis and conclude that there is a relationship between the weekly rental and square footage of beach property.