In: Statistics and Probability
A fire insurance company wants to estimate the amount of fire damage in major residential fires based on distance between the residence and the nearest fire station. The study is to be conducted in a large suburb of a major city, a sample of 16 recent fires in this suburb is selected.
–Explanatory Variable (x): Distance
–Response Variable (y): Damage
Give a 95% Confidence Interval for slope.
( , )
The 95% Confidence Interval for slope is between 4.0709 and 5.7678.
Distance | Damage |
3.4 | 26.2 |
1.8 | 17.8 |
4.6 | 31.3 |
2.3 | 23.1 |
3.1 | 27.5 |
5.5 | 36 |
0.7 | 14.1 |
3 | 22.3 |
2.6 | 19.6 |
4.3 | 31.3 |
2.1 | 24 |
1.1 | 17.3 |
6.1 | 43.2 |
4.8 | 36.4 |
3.8 | 26.1 |
r² | 0.923 | |||||
r | 0.961 | |||||
Std. Error | 2.316 | |||||
n | 15 | |||||
k | 1 | |||||
Dep. Var. | Damage | |||||
ANOVA table | ||||||
Source | SS | df | MS | F | p-value | |
Regression | 841.7664 | 1 | 841.7664 | 156.89 | 1.25E-08 | |
Residual | 69.7510 | 13 | 5.3655 | |||
Total | 911.5173 | 14 | ||||
Regression output | confidence interval | |||||
variables | coefficients | std. error | t (df=13) | p-value | 95% lower | 95% upper |
Intercept | 10.2779 | |||||
Distance | 4.9193 | 0.3927 | 12.525 | 1.25E-08 | 4.0709 | 5.7678 |