Exercise 13-60 (Algo) (LO13-5) 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 (). The MegaStat output is reported here: ANOVA table Source Regression Residual Total df 1 SS 1,835.5782 1,270.4934 28 3,106.07161 29 Regression output Variables Intercept Distance-X Coefficients 13.6984 3.2931 Click here for the Excel Data File y= F MS 1,835.5782 40.4537 45.3748 Std. Error 3.0467 0.5178 t(df=28) 2.427 6.36 Required: a-1. Determine the regression equation. (Round your answers to 3 decimal places.)

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Exercise 13-60 (Algo) (LO13-5)
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 (). The MegaStat output is reported here:
ANOVA table
Source
Regression
Residual
• Total
df
SS
1,835.5782 1
1,270.4934 28
3,106.0716 29
Regression output
Variables:
Intercept
Distance-X
Coefficients
13.6984
3.2931
F
MS
1,835.5782 40.4537
45.3748
Std. Error
3.0467
0.5178
t(df=28)
2.427
6.36
Click here for the Excel Data File
Required:
a-1. Determine the regression equation. (Round your answers to 3 decimal places.)
Transcribed Image Text:Exercise 13-60 (Algo) (LO13-5) 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 (). The MegaStat output is reported here: ANOVA table Source Regression Residual • Total df SS 1,835.5782 1 1,270.4934 28 3,106.0716 29 Regression output Variables: Intercept Distance-X Coefficients 13.6984 3.2931 F MS 1,835.5782 40.4537 45.3748 Std. Error 3.0467 0.5178 t(df=28) 2.427 6.36 Click here for the Excel Data File Required: a-1. Determine the regression equation. (Round your answers to 3 decimal places.)
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