Question

Waterbury Insurance Company wants to study the relationship between the amount of fire damage and the...

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 1,810.5782 1 1,810.5782 38.54
Residual 1,315.4934 28 46.9819
Total 3,126.0716 29
Regression output
Variables Coefficients Std. Error t(df=28)
Intercept 14.6279 3.1572 3.178
Distance–X 5.1603 9.252 6.21

a-1. Write out the regression equation. (Round your answers to 3 decimal places.)

y=__+__x

a-2. Is there a direct or indirect relationship between the distance from the fire station and the amount of fire damage?

**** The relationship between distance and damage is?____

How much damage would you estimate for a fire 9 miles from the nearest fire station? (Round your answer to the nearest dollar amount.)

1. Estimated damage=______

c-1. Determine and interpret the coefficient of determination. (Round your answer to 3 decimal places.)

2. Coefficient of determination______

c-2. Fill in the blank below. (Round your answer to one decimal place.)

3.____% of the variation in damage is explained by variation in distance.

d-1. Determine the correlation coefficient. (Round your answer to 3 decimal places.)

4. Correlation coefficient____

d-2. Choose the right option.

5.

. There is a fairly solid link between the variables.

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

6.
It is because the slope is

e-1. State the decision rule for 0.01 significance level: H0 : ? = 0; H1 : ? ? 0. (Negative value should be indicated by a minus sign. Round your answers to 3 decimal places.)

7.

Reject H0 if t < or t >

e-2. Compute the value of the test statistic. (Round your answer to 2 decimal places.)

8. Value of the test statistic:

e-3. Is there any significant relationship between the distance from the fire station and the amount of damage? Use the 0.01 significance level.

9.

H0. There is______ relationship between distance and fire damage.

Homework Answers

Answer #1

a_1) Regression equation:

Y'= 14.6279+5.1603*Distance

a-2) it's a direct relationship between two variables.

1) X=9

Y'= 14.6279+5.1603*9= 61.0706

2) Coefficient of determination:

3) 57.9186% variation explained by regression equation

4) Correlation coefficient:

5)There is a solid relationship between variables.

6) Slope is positive so, correlation coefficient sign also positive.

7)Hypothesis:

and

df= 28, significant value=0.01

Reject H0 if t< -2.76326 or t> 2.76326

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Waterbury Insurance Company wants to study the relationship between the amount of fire damage and the...
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...
Waterbury Insurance Company wants to study the relationship between the amount of fire damage and the...
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...
Waterbury Insurance Company wants to study the relationship between the amount of fire damage and the...
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...
Waterbury Insurance Company wants to study the relationship between the amount of fire damage and the...
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...
Waterbury Insurance Company wants to study the relationship between the amount of fire damage and the...
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...
Waterbury Insurance Company wants to study the relationship between the amount of fire damage and the...
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...
The owner of Maumee Motors wants to study the relationship between the age of a car...
The owner of Maumee Motors wants to study the relationship between the age of a car and its selling price. Listed below is a random sample of 12 used cars sold at Maumee Motors during the last year: Car Age (years) Selling Price ($ thousands) Car Age (years) Selling Price ($ thousands) 1 8 $9.5 7 6 $10.0 2 13 5.5 8 2 5.5 3 7 9.7 9 1 9.6 4 15 3.6 10 4 3.1 5 9 3.2 11...
What is the relationship between the amount of time statistics students study per week and their...
What is the relationship between the amount of time statistics students study per week and their final exam scores? The results of the survey are shown below. Time 9 3 13 5 15 8 5 16 Score 80 75 91 75 93 78 82 91 Find the correlation coefficient: r=r=    Round to 2 decimal places. The null and alternative hypotheses for correlation are: H0:H0: ? μ r ρ  == 0 H1:H1: ? r ρ μ   ≠≠ 0 The p-value is:    (Round to four...
The owner of Maumee Ford-Volvo wants to study the relationship between the age of a car...
The owner of Maumee Ford-Volvo wants to study the relationship between the age of a car and its selling price. Listed below is a random sample of 12 used cars sold at the dealership during the last year. Car Age (years) Selling Price ($000) 1 9 8.1 2 7 6.0 3 11 3.6 4 12 4.0 5 8 5.0 6 7 10.0 7 8 7.6 8 11 8.0 9 10 8.0 10 12 6.0 11 6 8.6 12 6 8.0...
Distance 3.4 1.8 4.6 2.3 3.1 5.5 0.7 3.0 Damage 26.2 17.8 31.3 23.1 27.5 36.0...
Distance 3.4 1.8 4.6 2.3 3.1 5.5 0.7 3.0 Damage 26.2 17.8 31.3 23.1 27.5 36.0 14.1 22.3 Distance 2.6 4.3 2.1 1.1 6.1 4.8 3.8 Damage 19.6 31.3 24.0 17.3 43.2 36.4 26.1 Refer to the Model Summary table from Minitab Express (or Simple linear regression results from StatCrunch) generated in part (e). What is the name and observed value of the measure that tells us the “percent of variation in the amount of damage for major residential fires...