Distance from fire station (miles) 2.9 1.3 4.4 1.8 2.6 5.1 Fire damage ($ thousands) 26.1 16.8 30.3 22.8 25.1 35 Find the least squares line for the given data. Test the null hypothesis ?0: ?1= 0 against ??: ?1 ≠ 0. Use ? = 0.05. Interpret the result. Find coefficient of correlation ? and interpret its its value. Predict possible amount of the fire damage for the house that is ?? = 3.5 miles from the nearest station. Use a 90% prediction interval.
Distance from fire station (miles) 2.9 1.3 4.4 1.8 2.6 5.1 Fire damage ($ thousands) 26.1 16.8 30.3 22.8 25.1 35 Find the least squares line for the given data. Test the null hypothesis ?0: ?1= 0 against ??: ?1 ≠ 0. Use ? = 0.05. Interpret the result. Find coefficient of correlation ? and interpret its its value. Predict possible amount of the fire damage for the house that is ?? = 3.5 miles from the nearest station. Use a 90% prediction interval.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
- A fire-insurance company wants to relate the amount of fire damage in major residential fires to the distance between the residence and the nearest fire A sample of 6 recent fires in some suburb of a major city is selected. The amount of damage and the distance between the fire and the nearest fire station are recorded for each fire in the table below:
Distance from fire station (miles) |
2.9 |
1.3 |
4.4 |
1.8 |
2.6 |
5.1 |
Fire damage ($ thousands) |
26.1 |
16.8 |
30.3 |
22.8 |
25.1 |
35 |
- Find the least squares line for the given data.
- Test the null hypothesis ?0: ?1= 0 against ??: ?1 ≠ 0. Use ? = 0.05. Interpret the result.
- Find coefficient of
correlation ? and interpret its its value. - Predict possible amount of the fire damage for the house that is ?? = 3.5 miles from the nearest station. Use a 90% prediction interval.
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