c-2 Interpret the coefficient of determinotion. (Round your answer to one decimal place.)% af the variation in damage is explained by varialion in distanced-1. Determine the correlotion coefficient. (Round your answer to 3 decimal places.)Correlation coofficientd-2 Evoluate the correlotion between the variablesThere is aasociation belween the variables.d-3. How did you determine the sign of the correlotion coefficient?Il isbecause the slope is Waterbury Insurance Company wants to study the relationship between the amount of fire damage and the distance between theburning house and the neorest fire station. This information will be used in setting rates for insurance coverage. For o somple of 30claims for the last year, the director of the actuarial department determined the distance from the fire station (x) and the amount of firedomage, in thousands of dollars (y).ANOVA tableSourceRegressionResidualSSdfMSF1,870.57821,870.578241.391,265.49343,136.07162845.1962Total29Regression outputStandardVariablesCoefficientsErrort(df-28)InterceptDistance-X13.768153.1062.9143.77ese. 58616.43Click here for the Excel Data Filea-1. Determine the regression equation. (Round your answers to 3 decimal places.)y3DX.a-2 Is there a direct or indirect relotionship between the distance from the fire station and the amount of fire damage?The relationship between distance and damage isb. How much domage would you estimate for a fire 4 miles from the nearest fire station? (Round your answer to the nearest dollaramount.)Estimated damageC-1. Determine the coefficient of determination. (Round your answer to 3 decimal places.)Coefficient of determination

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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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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). ANOVA table Source SS df MS F Regression 1,885.5782 1 1,885.5782 41.07 Residual 1,285.4934 28 45.9105 Total 3,171.0716 29 Regression output Variables Coefficients Standard Error t(df=28) Intercept 13.26045 3.1942 2.481 Distance–X 6.3279 0.9874 6.41 Click here for the Excel Data File a-1. Determine the regression equation. (Round your answers to 3 decimal places.) a-2. Is there a direct or indirect relationship between the distance from the fire station and the amount of fire damage? b. How much damage would you…
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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). ANOVA table Source SS df MS F Regression 1,810.5782 1 1,810.5782 38.54 Residual 1,315.4934 28 46.9819 Total 3,126.0716 29 Regression output Variables Coefficients Standard Error t(df=28) Intercept 14.62785 3.1572 3.178 Distance–X 5.1603 0.8312 6.21 Click here for the Excel Data File a-1. Determine the regression equation. (Round your answers to 3 decimal places.) a-2. Is there a direct or indirect relationship between the distance from the fire station and the amount of fire damage? b. How much damage would you…
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