Math 10
Final Exam Practice Questions Chapter 12
Answers are at the end.
For questions 1 – 3 refer to the following
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
2
4
8
12
1
5
9
Number of
injuries in the
last month
snowboarding
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.
B.
C.
D.
E.
Yes because the correlation coefficient is less than alpha
No because the correlation coefficient is less than alpha
Yes because the p-value is less than alpha
No because the p-value is less than alpha
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 refer to the following
The cost of a leading gourmet ice cream in different sizes is given in the table.
Size
(ounces)
16
32
64
96
Cost
$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.
B.
C.
D.
That a line is not the best fit for the cost of the gourmet ice cream.
That the 128-ounce size of the gourmet ice cream is far too expensive.
That we should switch the independent and dependent variables.
That s/he should not use the line of best fit to make this prediction.
ANSWERS: 1C
2D
3C
4B
5B
6D