In: Statistics and Probability
Exercise 13-60 (LO13-2, LO13-3, 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 (y). The MegaStat output is reported below.
ANOVA table | |||||
Source | SS | df | MS | F | |
Regression | 1,870.5782 | 1 | 1,870.5782 | 41.23 | |
Residual | 1,270.4934 | 28 | 45.3748 | ||
Total | 3,141.0716 | 29 | |||
Regression output | |||
Variables | Coefficients | Std. Error | t(df=28) |
Intercept | 13.4867 | 3.1191 | 2.21 |
Distance–X | 5.2717 | 0.8211 | 6.42 |
A. How much damage would you estimate for a fire 4 miles from the nearest fire station? (Round your answer to the nearest dollar amount.) [THE ANSWER IS NOT 35]
Estimated Damage |
Exercise 13-58 (LO13-2, LO13-3)
A consumer buying cooperative tested the effective heating area of 20 different electric space heaters with different wattages. Here are the results.
Heater | Wattage | Area | ||
1 | 750 | 168 | ||
2 | 750 | 58 | ||
3 | 1,500 | 56 | ||
4 | 750 | 51 | ||
5 | 1,000 | 237 | ||
6 | 1,250 | 105 | ||
7 | 1,000 | 139 | ||
8 | 2,000 | 197 | ||
9 | 1,250 | 80 | ||
10 | 1,500 | 166 | ||
11 | 750 | 75 | ||
12 | 1,750 | 292 | ||
13 | 2,000 | 49 | ||
14 | 1,250 | 78 | ||
15 | 1,750 | 269 | ||
16 | 750 | 162 | ||
17 | 1,250 | 171 | ||
18 | 1,500 | 147 | ||
19 | 2,000 | 244 | ||
20 | 1,000 | 73 |
1. Which heater looks like the “best buy” based on the size of the residual? (Round residual value to 3 decimal places.)
The twelfth heater is the "best buy." Ith heats an area that is ______ square feet larger than estimated by the regression equation. |