Exam 6 - Lesson 12
Name_____________
For questions 1 – 3:
New snowboarders (those who have snowboarded a year or less) often suffer from minor injuries. A random sample of seven new snowboarders produced the data on number of months snowboarding and number of minor injuries in the last month that they snowboarded.
| Months Snowboarding |
Number of injuries in the last month snowboarding |
2
4
8
12
1
5
9 |
9
6
3
2
9
6
2 |
1. Is the correlation between the number of months snowboarding and the number of injuries in the last month snowboarding significant?
A. Yes B. No C. Not enough information to answer question
2. The linear regression equation is
| A. yhat = 9.5904 – 0.9614 x |
B. yhat = -0.7349 + 9.5904 x |
| C. yhat = 9.5904 + 0.7349 x |
D. yhat = 9.5904 – 0.7349 x |
3. If a new snowboarder has snowboarded for five (5) months, how many injuries would s/he have in the last month snowboarding?
A. 4.8 B. 47.2 C. 5.9 D. 13.3
4. If you calculate the line of best fit and the independent variable and the dependent variable have negative correlation, then the line of best fit has slope zero (0).
A. TRUE B. FALSE C. There is not enough information
For questions 5 – 6:
The cost of a leading gourmet ice cream in different sizes is given in the table.
| Size(ounces) |
Cost |
16
32
64
96 |
$4.29
$7.36
$12.80
$17.28 |
5. Are there any outliers?
A. Yes B. No C. Not enough information
6. If your friend used the line of best fit to predict the cost for a 128-ounce size of gourmet ice cream, what would you tell him/her with what you have learned about linear regression?
| A. |
That a line is not the best fit for the cost of the gourmet ice cream. |
| B. |
That the 128-ounce size of the gourmet ice cream is far too expensive. |
| C. |
That we should switch the independent and dependent variables. |
| D. |
That s/he should not use the line of best fit to make this prediction. |
Answers: 1A 2D 3C 4B 5B 6D
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