[Statistics] Use R or RStudio Context of the problem: Fire damage in the United States amounts to billions of dollars, much of it insured. The time taken to arrive at the fire is critical. This raises the question, Should insurance companies lower premiums if the home to be insured is close to a fire station? To help make a decision, a study was undertaken wherein a number of fires were investigated. The distance to the nearest fire station (in miles) and the percentage of fire damage were recorded. Here is the data set: Distance Percent 7.5 68 8.3 66 6.2 34 1.6 30 5.6 70 6 62 4.3 47 8.1 72 5.7 40 0.3 53 1.6 18 2.5 48 5.8 53 5.3 48 6.3 64 3.4 52 6.2 61 3.2 34 6.3 65 6.1 66 4.6 33 6.7 76 0.5 34 3.2 46 5.3 55 5 33 4.8 46 6.4 49 0.2 17 4.9 47 6.2 63 7.6 69 6.6 54 2.9 52 2.1 43 4.8 35 8.1 58 1.2 5 4.6 46 4 57 6.1 40 0.8 39 5.9 42 6.5 62 6.5 52 7.5 76 7.2 67 6.7 45 4.1 23 4 33 4.8 59 4 50 6.2 49 5.5 44 7 52 7.5 68 6.2 48 5.7 55 7.3 77 1.9 9 2.8 35 6.3 51 9.4 84 3.7 30 4.9 61 1.8 40 3.6 24 2.9 37 2.6 51 3.1 30 4.7 47 5.9 54 2.5 47 4.6 52 5.2 52 7.6 52 3.7 33 7.4 74 3.3 56 5.1 53 5.1 54 7.5 76 4.7 37 2.7 45 2.7 50 Required Steps: 1. Use R or RStudio to analyze the relationship between distance to the nearest fire station and percentage of fire damage. Based on your analysis, answer the question: Should insurance companies lower premiums if the home to be insured is close to a fire station? Write a short report detailing your conclusions. 2. State and verify the necessary statistical conditions for your method(s). 3. Provide R codes and R outputs either in the body of your statistical report or in the appendix (at the end of your report). If you decide to include your R codes and R outputs in the appendix, be sure to indicate this in your report.
[Statistics] Use R or RStudio
Context of the problem:
Fire damage in the United States amounts to billions of dollars, much of it insured. The time taken to arrive at the fire is critical. This raises the question, Should insurance companies lower premiums if the home to be insured is close to a fire station? To help make a decision, a study was undertaken wherein a number of fires were investigated. The distance to the nearest fire station (in miles) and the percentage of fire damage were recorded.
Here is the data set:
Distance Percent
7.5 68
8.3 66
6.2 34
1.6 30
5.6 70
6 62
4.3 47
8.1 72
5.7 40
0.3 53
1.6 18
2.5 48
5.8 53
5.3 48
6.3 64
3.4 52
6.2 61
3.2 34
6.3 65
6.1 66
4.6 33
6.7 76
0.5 34
3.2 46
5.3 55
5 33
4.8 46
6.4 49
0.2 17
4.9 47
6.2 63
7.6 69
6.6 54
2.9 52
2.1 43
4.8 35
8.1 58
1.2 5
4.6 46
4 57
6.1 40
0.8 39
5.9 42
6.5 62
6.5 52
7.5 76
7.2 67
6.7 45
4.1 23
4 33
4.8 59
4 50
6.2 49
5.5 44
7 52
7.5 68
6.2 48
5.7 55
7.3 77
1.9 9
2.8 35
6.3 51
9.4 84
3.7 30
4.9 61
1.8 40
3.6 24
2.9 37
2.6 51
3.1 30
4.7 47
5.9 54
2.5 47
4.6 52
5.2 52
7.6 52
3.7 33
7.4 74
3.3 56
5.1 53
5.1 54
7.5 76
4.7 37
2.7 45
2.7 50
Required Steps:
1. Use R or RStudio to analyze the relationship between distance to the nearest fire station and percentage of fire damage. Based on your analysis, answer the question: Should insurance companies lower premiums if the home to be
insured is close to a fire station? Write a short report detailing your conclusions.
2. State and verify the necessary statistical conditions for your method(s).
3. Provide R codes and R outputs either in the body of your statistical report or in the appendix (at the
end of your report). If you decide to include your R codes and R outputs in the appendix, be sure to indicate this in your report.
Trending now
This is a popular solution!
Step by step
Solved in 2 steps with 2 images
