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The least squares regression line for a data set is y=5+0.3x and the standard deviation of the residuals is 0.4. Does a case with the

The least squares regression line for a data set is y=5+0.3x and the standard deviation of the residuals is 0.4.

Does a case with the values x = 3.3, y = 7.2 qualify as an outlier?

Question 1 options:

Cannot be determined with the given information

No

Yes

Question 2(1 point)

A vacation resort rents SCUBA equipment to certified divers. The resort charges an up-front fee of $25 and another fee of $12.50 an hour. What is the amount if you rent the SCUBA equipment for 1 hour and 15 minutes?

Question 2 options:

$40.63

$28.13

$50

$41

Question 3(1 point)

The following data represent the weight of a child riding a bike and the rolling distance achieved after going down a hill without pedaling.

Weight (lbs.)

Rolling Distance (m.)

59

26

83

43

97

49

56

20

103

65

87

44

88

48

91

42

52

39

63

33

71

39

100

49

895510353

99427433Can it be concluded at a 0.05 level of significance that there is a linear correlation between the two variables?

Question 3 options:

yes

no

Cannot be determined

Question 4(1 point)

The following data represent the weight of a child riding a bike and the rolling distance achieved after going down a hill without pedaling.

Weight (lbs.)Rolling Distance (m.)592683439749562010365874488489142523963337139100498955103539942743375308930102401033399331023586378537

Can it be concluded at a 0.01 level of significance that there is a linear correlation between the two variables?

Question 4 options:

yes, the p-value = .00001

no, the p-value = .00001

Cannot be determined

yes, the p-value = .0055

no, the p-value = .0055

Question 5(1 point)

The marketing manager of a large supermarket chain would like to use shelf space to predict the sales of pet food. For a random sample of 15 similar stores, she gathered the following information regarding the shelf space, in feet, devoted to pet food and the weekly sales in hundreds of dollars. .

Store

Shelf Space

Weekly Sales

1

5

1.3

2

5

1.6

3

5

1.4

4

10

1.7

5

10

1.9

6

10

2.3

7

15

2.2

8

15

2

9

15

1.8

10

20

2.2

11

20

2.4

12

20

2.9

13252.914252.715252.5

Find the 99% prediction interval for the Weekly Sales when the shelf space is 30. (round to 3 decimal places)

Question 5 options:

2.000 < y < 4.000

2.165 < y < 3.915

2.094 < y < 3.927

2.325 < y < 3.232

Question 6(1 point)

Which of the following describes how the scatter plot appears? Select all that apply.

Question 6 options:

weak

linear

nonlinear

negative

Positive

Question 7(1 point)

Data for a sample of 30 apartments in a particular neighborhood are provided in the worksheet. You want to see if there is a direct relationship between Size of the Apartment and Rent.

Base on your results, If the Size of your Apartment increased by 1 Sq. Ft., on average, the Rent would increase by approximately how much?

Place your answer, rounded to 2 decimal places, in the blank. Do not use any stray punctuation marks or a dollar sign. Make sure you put the 0 in front of the decimal.

For example, 34.56 would be a legitimate entry. ___

Please see Attached Excel for Data.

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