Question 1 of 20
1.0/ 1.0 Points
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. How much is it if you rent the SCUBA equipment for
45 minutes?
A.
$25
B.
$37.5
C.
$35
D.
$34.38
Answer Key: D
Feedback:
The equation is
Dollars = $12.5(hour) +
$25
45 minutes = .75 of an hour
Dollars = $12.5(.75) + $25
Question 2 of 20
1.0/ 1.0 Points
During the 2008 Recession homeowners lost thousands of dollars on their homes. A linear
equation that expressed this amount was
Home Price = -10599(Year)
,As the Years increased how much did people lose on their homes each year? Round to a whole
number. Do not use any commas or decimals.
Answer: 10599
Answer Key: 10599|10,599|10,599.0|10599.0|10,599.00|10599.00
Feedback:
The slope is -10,599. As the Year increases by 1, the price of your home will decrease by
10,599. The negative in the slope tells us this is a decrease. You don't include the negative but
state that it is a decrease.
Part 2 of 7 - Prediction 1.0/ 3.0 Points
Question 3 of 20
1.0/ 1.0 Points
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. .
Shelf Weekly
Store
Space 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
13 25 2.9
14 25 2.7
15 25 2.5
, Can it be concluded at a 0.01 level of significance that there is a linear correlation between the
two variables?
A.
yes, because the p-value = .00053
B.
yes, because the p-value = .000013
C.
no, because the p-value = .000013
D.
yes, because the p-value = .00053
Answer Key: B
Feedback:
Copy and paste the data into Excel. Then use the Data Analysis Toolpak and run a Regression.
The y-variable is the Weekly Sales and the x-variable is the Shelf Space. You want to predict the
dollar amount of the weekly sales. When you highlight and input these columns in the
Regression Analysis make sure you include AND click on Labels and Click OK. Once you get
the Regression output, look under the Significance F value for the correct p-value to use to make
your decision.
Yes, there is a significant relationship p-value = 0.000013
Question 4 of 20
0.0/ 1.0 Points
Click to see additional instructions
The following data represent the weight of a child riding a bike and the rolling distance achieved
after going down a hill without pedaling.
1.0/ 1.0 Points
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. How much is it if you rent the SCUBA equipment for
45 minutes?
A.
$25
B.
$37.5
C.
$35
D.
$34.38
Answer Key: D
Feedback:
The equation is
Dollars = $12.5(hour) +
$25
45 minutes = .75 of an hour
Dollars = $12.5(.75) + $25
Question 2 of 20
1.0/ 1.0 Points
During the 2008 Recession homeowners lost thousands of dollars on their homes. A linear
equation that expressed this amount was
Home Price = -10599(Year)
,As the Years increased how much did people lose on their homes each year? Round to a whole
number. Do not use any commas or decimals.
Answer: 10599
Answer Key: 10599|10,599|10,599.0|10599.0|10,599.00|10599.00
Feedback:
The slope is -10,599. As the Year increases by 1, the price of your home will decrease by
10,599. The negative in the slope tells us this is a decrease. You don't include the negative but
state that it is a decrease.
Part 2 of 7 - Prediction 1.0/ 3.0 Points
Question 3 of 20
1.0/ 1.0 Points
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. .
Shelf Weekly
Store
Space 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
13 25 2.9
14 25 2.7
15 25 2.5
, Can it be concluded at a 0.01 level of significance that there is a linear correlation between the
two variables?
A.
yes, because the p-value = .00053
B.
yes, because the p-value = .000013
C.
no, because the p-value = .000013
D.
yes, because the p-value = .00053
Answer Key: B
Feedback:
Copy and paste the data into Excel. Then use the Data Analysis Toolpak and run a Regression.
The y-variable is the Weekly Sales and the x-variable is the Shelf Space. You want to predict the
dollar amount of the weekly sales. When you highlight and input these columns in the
Regression Analysis make sure you include AND click on Labels and Click OK. Once you get
the Regression output, look under the Significance F value for the correct p-value to use to make
your decision.
Yes, there is a significant relationship p-value = 0.000013
Question 4 of 20
0.0/ 1.0 Points
Click to see additional instructions
The following data represent the weight of a child riding a bike and the rolling distance achieved
after going down a hill without pedaling.
