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# Exam 6: Chapter 12

Summary: Practice final exam for use with Collaborative Statistics (col10522) by Barbara Illowsky and Susan Dean.

## 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.

Table 1
Months Snowboarding # of injuries in the last month
2 9
4 6
8 3
12 2
1 9
5 6
9 2

## Exercise 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

A

## Exercise 2

The linear regression equation is:

• A. yhat = 9.5904 – 0.9614 xx
• B. yhat = -0.7349 + 9.5904xx
• C. yhat = 9.5904 + 0.7349xx
• D. yhat = 9.5904 – 0.7349xx

D

## Exercise 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

C

## Exercise 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

B

## Questions 5 – 6 refer to the following:

The cost of a leading gourmet ice cream in different sizes is given in the table.

Table 2
Size (ounces) Cost
16 $4.29 32$7.36
64 $12.80 96$17.28

## Exercise 5

Are there any outliers?

• A. Yes
• B. No
• C. Not enough information

B

## Exercise 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.

D

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