Waterbury Insurance Company wants to study the relationship between the amount of fire damage and the distance between the burning house and the nearest fire station. This information will be used in setting rates for insurance coverage. For a sample of 30 claims for the last year, the director of the actuarial department determined the distance from the fire station (x) and the amount of fire damage, in thousands of dollars (y). The MegaStat output is reported below.   ANOVA table Source SS df MS F Regression 1,850.5782 1 1,850.5782   39.69 Residual 1,305.4934 28 46.6248     Total 3,156.0716 29             Regression output Variables Coefficients Std. Error t(df=28) Intercept 12.6882 3.1699 2.82 Distance–X 5.121 8.504 6.3           Click here for the Excel Data File d-1. Determine the correlation coefficient. (Round your answer to 3 decimal places.)     d-2. Choose the right option.     d-3. How did you determine the sign of the correlation coefficient?

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Waterbury Insurance Company wants to study the relationship between the amount of fire damage and the distance between the burning house and the nearest fire station. This information will be used in setting rates for insurance coverage. For a sample of 30 claims for the last year, the director of the actuarial department determined the distance from the fire station (x) and the amount of fire damage, in thousands of dollars (y). The MegaStat output is reported below.

 

ANOVA table
Source SS df MS F
Regression 1,850.5782 1 1,850.5782   39.69
Residual 1,305.4934 28 46.6248    
Total 3,156.0716 29        
 

 

Regression output
Variables Coefficients Std. Error t(df=28)
Intercept 12.6882 3.1699 2.82
Distance–X 5.121 8.504 6.3
 

 

 

 
  Click here for the Excel Data File
  1. d-1. Determine the correlation coefficient(Round your answer to 3 decimal places.)

 

 
  1. d-2. Choose the right option.

 

 
  1. d-3. How did you determine the sign of the correlation coefficient?

 

 
  1.  
 
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