Question
In: Statistics and Probability
A study is conducted to determine the relationship between a driver's age and the number of...
A study is conducted to determine the relationship between a driver's age and the number of accidents he or she has over a 1-year period. The data are shown here. If there is a significant relationship, predict the number of accidents of a driver who is 28.
| Driver's | No. of |
| Age x | accidents y |
| 16 | 3 |
| 24 | 2 |
| 18 | 5 |
| 17 | 2 |
| 23 | 0 |
| 27 | 1 |
| 32 | 1 |
1. What is your alternative hypothesis (H1)?
2. Compute the value of the correlation coefficient.
3. Determine the regression equation line even if the equation is not valid.
4. Test the significance of the correlation coefficient and the regression equation at a level of significance of .01.
Solutions
orchestra answered 2 years agoRelated Solutions
A study is conducted to determine the relationship between a driver's age and the number of...
A study is conducted to determine the relationship between a
driver's age and the number of accidents he or she has over a
1-year period. The data are shown here. If there is a significant
relationship, predict the number of accidents of a driver who is
28.
Driver's
No. of
Age x
accidents y
16
3
24
2
18
5
17
2
23
0
27
1
32
1
Predict y' for a specific value of x, if the relationship is...
A study is conducted to determine the relationship between a driver's age and the number of...
A study is conducted to determine the relationship between a
driver's age and the number of accidents he or she has over a
1-year period. The data are shown here. If there is a significant
relationship, predict the number of accidents of a driver who is
28.
Driver's
No. of
Age x
accidents y
16
3
24
2
18
5
17
2
23
0
27
1
32
1
For steps 4 and 5 of the hypothesis testing, what is your...
A study is conducted to determine the relationship between a driver's age and the number of...
A study is conducted to determine the relationship between a
driver's age and the number of accidents that he or she has had
over a 1-year period.
The data from this study is in the table:
Age 16 24 18 17 23 27 32
Accidents 3 2 5 2 0 1 1
The correlation coefficient for this problem is
There is/ is not evidence of significant correlation at the 5%
significance level
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8
32
16
7
6
35
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Income level
42
48
50
59
65 72
(in 1000’s of $)
Donating percent
9
10
8
5
6 3
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Number of Days Absent
1
8
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6.5
5
5.5
8
10
9
8.2 10.5
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