Double
Corporation produces baseball bats for kids that it sells for
$33
each. At capacity, the company can produce
50,000
bats a year. The costs of producing and selling
50,000
bats are as follows:
|
Cost per Bat |
Total Costs |
|
|---|---|---|
|
Direct materials |
$11 |
$550,000 |
|
Variable direct manufacturing labor |
4 |
200,000 |
|
Variable manufacturing overhead |
2 |
100,000 |
|
Fixed manufacturing overhead |
3 |
150,000 |
|
Variable selling expenses |
3 |
150,000 |
|
Fixed selling expenses |
4 |
200,000 |
|
Total costs |
$27 |
$1,350,000 |
1.
Suppose
Double
is currently producing and selling
40,000
bats. At this level of production and sales, its fixed costs are the same as given in the preceding table.
Gehrig
Corporation wants to place a one-time special order for
10,000
bats at
$21
each.
Double
will incur no variable selling costs for this special order. Should
Double
accept this one-time special order? Show your calculations.
2.
Now suppose
Double
is currently producing and selling
50,000
bats. If
Double
accepts
Gehrig's
offer it will have to sell
10,000
fewer bats to its regular customers. (a) On financial considerations alone, should
Double
accept this one-time special order? Show your calculations. (b) On financial considerations alone, at what price would
Double
be indifferent between accepting the special order and continuing to sell to its regular customers at
$33
per bat? (c) What other factors should
Double
consider in deciding whether to accept the one-time special order?
In: Accounting
Suppose that nominal GDP was $9000000.00 in 2005 in Montgomery
County Maryland. In 2015, nominal GDP was $11250000.00 in
Montgomery County Maryland. The price level rose 1.50% between 2005
and 2015, and population growth was 3.25%. Calculate the following
figures for Montgomery County Maryland between 2005 and 2015. Give
all answers to two decimals.
a. Nominal GDP growth was _____%
b. Economic growth was ______%
c. Inflation was ______%
d. Real GDP growth was _______%
e. Per capita GDP growth was _______%
f. Real per capita GDP growth was ______%
In: Economics
Suppose that nominal GDP was $9750000.00 in 2005 in Orange County California. In 2015, nominal GDP was $11250000.00 in Orange County California. The price level rose 1.00% between 2005 and 2015, and population growth was 4.50%.
Calculate the following figures for Orange County California between 2005 and 2015. Give all answers to two decimals.
a. Nominal GDP growth was %.
b. Economic growth was %.
c. Inflation was %.
d. Real GDP growth was %.
e. Per capita GDP growth was %.
f. Real per capita GDP growth was %.
In: Economics
Cascade Co. is planning to invest some of its excess cash in 5-year bonds issued by Joyce Co. and in the 2% of ordinary shares of Teton Co. Both Joyce’s bonds and Teton’s shares are traded actively on securities market. Cascade Co. plans to hold the bond for long term and the shares for speculation. Regarding the accounting for these investments, answer the following
questions: 1. What is a financial asset? 2. Physical assets holder generate cash by using or selling the assets. For example, a property holder can enjoy rental income, and an inventory holder can sell it for revenue. How is a physical asset different from a financial asset? 3. What is the accounting treatment for a bond holder in general? 4. What is the accounting treatment for an equity holder in general? 5. After investing, the market value of the bond and shares fluctuate, how should Cascade account for it?
In: Accounting
Teton Village, Wyoming, near Grand Teton Park and Yellowstone Park, contains shops, restaurants, and motels. The village has two peak seasons---winter, for skiing on the 10,000-foot slopes, and summer, for tourists visiting the parks. The number of visitors(in thousands) by quarter for five years can be found in Data Table Two below
1.Develop the typical seasonal pattern for Teton Village
2. Determine the seasonally adjusted number of visitors for winter 2011.
Data Table Two
| Year | Quarter | Number of Visitors(in thousands) |
| 2005 | Winter | 117 |
| Spring | 80.7 | |
| Summer | 129.6 | |
| Fall | 76.1 | |
| 2006 | Winter | 118.6 |
| Spring | 82.5 | |
| Summer | 121.4 | |
| Fall | 77 | |
| 2007 | Winter | 114 |
| Spring | 84.3 | |
| Summer | 119.9 | |
| Fall | 75 | |
| 2008 | Winter | 120.7 |
| Spring | 79.6 | |
| Summer | 130.7 | |
| Fall | 69.6 | |
| 2009 | Winter | 125.2 |
| Spring | 80.2 | |
| Summer | 127.6 | |
| Fall | 72 |
Please post the answer with the work performed in excel and not just the answer, need to show work as I don't understand how to do this and would like the steps so that I can also learn it and it shows all work. You can add screenshots of the steps to find the answer in excel.
In: Economics
American Airlines. (AA) is an airline that operates direct, daily flights between Los Angeles (LAX) and London Heathrow (LHR) airports. AA offers only business-class tickets and service on all of its flights. On the LAX-LHR route, AA flies Airbus 320 plane configured to have a capacity of 100 business-class seats.
AA sells tickets on LAX-LHR route at $3000 and offers a generous, 90% “last-minute cancellation” policy. In particular, under such policy, a customer may cancel her flight up to 30 minutes before the departure time and receive back 90% of the $3000 fare she paid. As a result, AA is able to sell many more tickets than its plane capacity. The downside is that customers who purchased tickets may not all show up for the flight.
To better manage the profitability of its LAX-LHR route in the presence of last-minute cancellations, AA uses “overbooking,” that involves selling more tickets than 100 seats on its plane. In particular, AA would like to compare two overbooking options: 1) selling T=110 tickets, and 2) selling T=115 tickets. AA is confident that, given the moderate business-class fare it charges and a generous cancellation policy it offers, it can always sell those numbers of tickets.
The sequence of events in the presence of overbooking is as follows:
·Tickets are sold to T potential passengers at the price of $3000 each
·At about 30 minutes prior to departure, the number of customers who actually show up for the flight, A, is revealed (0≤A≤T) and the refund of $2700 is paid to each of T-A customers who did not show up
·If A≤ 100, the plane takes off with A customers on board
·If A>100, the airline asks for A-100 volunteers to release their seats and to accept alternative flight arrangements, for additional compensation. As a result of this process, the airline pays to each of A-100 volunteers the compensation of $5000, and the plane takes off with 100 customers on board.
Thus, the revenue that AA earns for a particular flight depends on the values of T and A, and consists of three components: the initial revenue from selling tickets minus the refund, if any, paid for last-minute cancellations, and minus the additional compensation, if any, paid to customers asked to release their seats.
1) Suppose that AA decides to use Option 1 (i.e., sell T=110) tickets, and the number of customers who show up for the flight is 100. What is the revenue that AA will earn for this flight, in $? Round your answer to the closest integer value.
2) Suppose that AA decides to use Option 2 (i.e., sell T=115) tickets, and the number of customers who show up for the flight is 105. What is the revenue that AA will earn for this flight, in $? Round your answer to the closest integer value.
3) Zero Management is a business analyst working for AA who was assigned a task of comparing the two overbooking options described above. Zero has decided to design a simulation model that assumes that each of T customers who bought tickets has a probability of 0.9 of actually showing up for the flight, and that each customer makes a decision to show up for the flight independently of other customers. A statistician working for AA explained to Zero that, under these assumptions, the number of customers who actually show up for the flight, A, is a binomial random variable that can take integer values 0,1,2,… T, and that has the expected value of 0.9*T.
Suppose that the AA decides to use Option 1 (T=110). Let A be the number of customers who actually show up for the flight under this option. The algebraic expression for the revenue that AA earns for this flight, in $, is
a) 330,000 – 2,700*(100-A) – 5,000*IF(A<100, 0, A-100)
b) 330,000 – 2,700*(110-A) – 5,000*IF(A<110, 0, A-110)
c) 330,000 – 2,700*(110-A) – 5,000*IF(A<100, 0, A-100)
d) 330,000 – 2,700*(100-A) – 5,000*IF(A<110, 0, A-110)
4) Consider Option 1 (T=110). If it is possible for A to take integer values 0,1,2,…,110, what is the maximum possible revenue, in $, that AA can earn for a flight? Choose the closest value.
a) 330,000
b) 303,000
c) 300,000
d) 280,000
e) 270,600
5) Consider Option 1 (T=110). If it is possible for A to take integer values 0,1,2,…,110, what is the minimum possible revenue that AA can earn for a flight? Choose the closest value.
a) 303,000
b) 280,000
c) 270,600
d) 33,000
e) 0
In: Civil Engineering
Below are percentages for annual sales growth and net sales attributed to loyalty card usage at 74 Noodles & Company restaurants.
| Annual Sales Growth (%) and Loyalty Card Usage (%
of Net Sales) (n = 74 restaurants) |
||||||||||||||||||
| Store | Growth% | Loyalty% | Store | Growth% | Loyalty% | |||||||||||||
| 1 | -8.3 | 2.1 | 38 | 7.1 | 1.6 | |||||||||||||
| 2 | -4.0 | 2.5 | 39 | 7.4 | 1.8 | |||||||||||||
| 3 | -3.9 | 1.7 | 40 | 7.7 | 2.2 | |||||||||||||
| 4 | -3.4 | 2.1 | 41 | 7.9 | 2.2 | |||||||||||||
| 5 | -3.3 | 2.5 | 42 | 8.1 | 2.8 | |||||||||||||
| 6 | -1.9 | 3.0 | 43 | 8.3 | 2.4 | |||||||||||||
| 7 | -0.8 | 2.3 | 44 | 8.5 | 3.1 | |||||||||||||
| 8 | -0.4 | 2.3 | 45 | 8.6 | 2.2 | |||||||||||||
| 9 | -0.2 | 2.2 | 46 | 8.7 | 1.3 | |||||||||||||
| 10 | -0.2 | 2.3 | 47 | 8.8 | 1.8 | |||||||||||||
| 11 | 0.5 | 2.1 | 48 | 8.8 | 2.5 | |||||||||||||
| 12 | 0.6 | 2.5 | 49 | 8.9 | 1.9 | |||||||||||||
| 13 | 0.8 | 2.0 | 50 | 9.1 | 2.0 | |||||||||||||
| 14 | 1.9 | 2.0 | 51 | 9.5 | 2.4 | |||||||||||||
| 15 | 2.0 | 2.0 | 52 | 10.2 | 2.2 | |||||||||||||
| 16 | 2.1 | 2.6 | 53 | 10.7 | 2.2 | |||||||||||||
| 17 | 2.8 | 2.2 | 54 | 11.0 | 0.3 | |||||||||||||
| 18 | 2.9 | 2.1 | 55 | 11.3 | 1.9 | |||||||||||||
| 19 | 4.0 | 1.9 | 56 | 11.4 | 1.9 | |||||||||||||
| 20 | 4.0 | 2.2 | 57 | 11.5 | 2.2 | |||||||||||||
| 21 | 4.0 | 0.7 | 58 | 11.7 | 2.6 | |||||||||||||
| 22 | 4.0 | 2.0 | 59 | 11.8 | 2.2 | |||||||||||||
| 23 | 4.2 | 1.8 | 60 | 11.9 | 2.1 | |||||||||||||
| 24 | 4.6 | 2.1 | 61 | 12.5 | 2.0 | |||||||||||||
| 25 | 5.1 | 2.5 | 62 | 12.8 | 0.9 | |||||||||||||
| 26 | 5.1 | 2.6 | 63 | 13.8 | 1.1 | |||||||||||||
| 27 | 5.5 | 2.0 | 64 | 14.1 | 3.4 | |||||||||||||
| 28 | 5.9 | 2.0 | 65 | 14.2 | 1.2 | |||||||||||||
| 29 | 5.9 | 1.4 | 66 | 14.6 | 2.1 | |||||||||||||
| 30 | 6.0 | 2.0 | 67 | 14.9 | 0.9 | |||||||||||||
| 31 | 6.1 | 2.1 | 68 | 15.4 | 2.2 | |||||||||||||
| 32 | 6.1 | 2.1 | 69 | 16.2 | 1.7 | |||||||||||||
| 33 | 6.1 | 2.7 | 70 | 17.2 | 2.4 | |||||||||||||
| 34 | 6.3 | 2.0 | 71 | 18.4 | 2.8 | |||||||||||||
| 35 | 6.6 | 2.0 | 72 | 20.8 | 1.1 | |||||||||||||
| 36 | 6.9 | 1.6 | 73 | 25.5 | 0.6 | |||||||||||||
| 37 | 6.9 | 1.9 | 74 | 28.8 | 1.8 | |||||||||||||
(b) Find the correlation coefficient.
(Round your answer to 3 decimal places. A negative value
should be indicated by a minus sign.)
r
___________
(c-1) To test the correlation coefficient for
significance at α = 0.05, fill in the following. (Use the
rounded value of the correlation coefficient from part b in all
calculations. For final answers, round tcalc to
3 decimal places and the p-value to 4 decimal places.
Negative values should be indicated by a minus
sign.)
| tcalc | |
| p-value |
In: Statistics and Probability
Below are percentages for annual sales growth and net sales attributed to loyalty card usage at 74 Noodles & Company restaurants.
| Annual Sales Growth (%) and Loyalty Card Usage (%
of Net Sales) (n = 74 restaurants) |
|||||
| Store | Growth% | Loyalty% | Store | Growth% | Loyalty% |
| 1 | -7.3 | 2.7 | 38 | 7.5 | 1.9 |
| 2 | -6.5 | 2.7 | 39 | 7.5 | 2.4 |
| 3 | -6.3 | 1.8 | 40 | 7.5 | 1.5 |
| 4 | -4.9 | 2.0 | 41 | 7.7 | 2.6 |
| 5 | -3.9 | 2.7 | 42 | 7.8 | 2.1 |
| 6 | -2.0 | 2.4 | 43 | 7.8 | 1.3 |
| 7 | -1.7 | 1.6 | 44 | 8.1 | 1.3 |
| 8 | -0.6 | 1.7 | 45 | 8.4 | 2.5 |
| 9 | -0.5 | 1.7 | 46 | 8.6 | 2.0 |
| 10 | -0.5 | 1.9 | 47 | 8.7 | 0.5 |
| 11 | 0.4 | 1.4 | 48 | 8.9 | 2.3 |
| 12 | 0.6 | 2.3 | 49 | 8.9 | 2.4 |
| 13 | 0.6 | 2.5 | 50 | 9.2 | 2.5 |
| 14 | 0.7 | 2.5 | 51 | 9.4 | 1.6 |
| 15 | 0.8 | 2.3 | 52 | 10.6 | 2.5 |
| 16 | 1.5 | 2.3 | 53 | 10.6 | 1.3 |
| 17 | 1.7 | 2.2 | 54 | 10.7 | 2.5 |
| 18 | 2.0 | 2.0 | 55 | 10.9 | 1.7 |
| 19 | 4.1 | 0.8 | 56 | 11.0 | 2.2 |
| 20 | 4.5 | 1.4 | 57 | 11.0 | 1.3 |
| 21 | 5.0 | 2.5 | 58 | 11.4 | 0.6 |
| 22 | 5.0 | 2.5 | 59 | 11.9 | 1.8 |
| 23 | 5.5 | 2.7 | 60 | 12.0 | 2.1 |
| 24 | 5.6 | 1.9 | 61 | 13.2 | 2.5 |
| 25 | 6.0 | 1.9 | 62 | 13.5 | 2.5 |
| 26 | 6.0 | 2.3 | 63 | 14.1 | 1.7 |
| 27 | 6.1 | 1.7 | 64 | 14.6 | 2.0 |
| 28 | 6.3 | 1.9 | 65 | 14.8 | 1.7 |
| 29 | 6.4 | 2.0 | 66 | 15.1 | 1.6 |
| 30 | 6.4 | 1.3 | 67 | 15.6 | 0.8 |
| 31 | 6.8 | 2.1 | 68 | 17.7 | 2.1 |
| 32 | 7.1 | 1.6 | 69 | 18.2 | 2.1 |
| 33 | 7.1 | 2.0 | 70 | 19.0 | 1.9 |
| 34 | 7.1 | 1.7 | 71 | 19.3 | 1.5 |
| 35 | 7.1 | 1.2 | 72 | 24.2 | 1.2 |
| 36 | 7.2 | 1.5 | 73 | 25.0 | 0.7 |
| 37 | 7.2 | 2.3 | 74 | 26.3 | 1.6 |
Click here for the Excel Data File
(b) Find the correlation coefficient. (Round your answer to 3 decimal places. A negative value should be indicated by a minus sign.)
r
(c-1) To test the correlation coefficient for significance at α = 0.025, fill in the following. (Use the rounded value of the correlation coefficient from part b in all calculations. For final answers, round tcalc to 3 decimal places and the p-value to 4 decimal places. Negative values should be indicated by a minus sign.)
| tcalc | |
| p-value | |
In: Statistics and Probability
Below are percentages for annual sales growth and net sales attributed to loyalty card usage at 74 Noodles & Company restaurants.
| Annual Sales Growth (px;) and Loyalty Card Usage
(px; of Net Sales) (n = 74 restaurants) |
|||||||||||||||||
| Store | Growth% | Loyalty% | Store | Growth% | Loyalty% | ||||||||||||
| 1 | -8.0 | 0.5 | 38 | 7.3 | 2.4 | ||||||||||||
| 2 | -7.5 | 2.5 | 39 | 7.5 | 1.6 | ||||||||||||
| 3 | -6.4 | 2.4 | 40 | 7.8 | 1.9 | ||||||||||||
| 4 | -5.2 | 1.8 | 41 | 8.0 | 2.1 | ||||||||||||
| 5 | -5.0 | 2.1 | 42 | 8.1 | 1.6 | ||||||||||||
| 6 | -1.7 | 1.6 | 43 | 8.1 | 1.3 | ||||||||||||
| 7 | -0.7 | 2.1 | 44 | 8.5 | 2.5 | ||||||||||||
| 8 | -0.5 | 2.2 | 45 | 8.5 | 2.3 | ||||||||||||
| 9 | -0.5 | 1.2 | 46 | 8.6 | 1.4 | ||||||||||||
| 10 | -0.5 | 2.6 | 47 | 8.7 | 0.8 | ||||||||||||
| 11 | 0.3 | 2.6 | 48 | 8.8 | 2.7 | ||||||||||||
| 12 | 0.9 | 0.8 | 49 | 9.0 | 2.1 | ||||||||||||
| 13 | 0.9 | 1.9 | 50 | 9.1 | 1.4 | ||||||||||||
| 14 | 1.2 | 1.3 | 51 | 9.2 | 2.1 | ||||||||||||
| 15 | 1.7 | 2.2 | 52 | 10.5 | 2.0 | ||||||||||||
| 16 | 1.8 | 2.4 | 53 | 10.8 | 1.7 | ||||||||||||
| 17 | 1.9 | 2.5 | 54 | 10.8 | 1.4 | ||||||||||||
| 18 | 2.0 | 1.9 | 55 | 11.0 | 0.9 | ||||||||||||
| 19 | 4.0 | 0.8 | 56 | 11.3 | 1.8 | ||||||||||||
| 20 | 4.3 | 2.1 | 57 | 11.4 | 1.2 | ||||||||||||
| 21 | 4.5 | 1.4 | 58 | 11.6 | 0.7 | ||||||||||||
| 22 | 4.7 | 2.2 | 59 | 11.8 | 1.5 | ||||||||||||
| 23 | 4.9 | 1.5 | 60 | 11.8 | 2.1 | ||||||||||||
| 24 | 5.2 | 1.8 | 61 | 13.5 | 1.2 | ||||||||||||
| 25 | 5.2 | 2.4 | 62 | 14.1 | 1.5 | ||||||||||||
| 26 | 5.3 | 1.6 | 63 | 14.3 | 1.9 | ||||||||||||
| 27 | 5.4 | 1.2 | 64 | 15.1 | 0.7 | ||||||||||||
| 28 | 5.5 | 2.0 | 65 | 15.5 | 2.1 | ||||||||||||
| 29 | 5.6 | 2.6 | 66 | 15.9 | 1.6 | ||||||||||||
| 30 | 5.7 | 2.0 | 67 | 16.0 | 0.9 | ||||||||||||
| 31 | 5.9 | 1.5 | 68 | 16.2 | 2.6 | ||||||||||||
| 32 | 6.0 | 1.9 | 69 | 16.2 | 1.4 | ||||||||||||
| 33 | 6.4 | 2.3 | 70 | 17.8 | 2.2 | ||||||||||||
| 34 | 6.4 | 0.6 | 71 | 18.8 | 2.1 | ||||||||||||
| 35 | 6.6 | 1.9 | 72 | 18.9 | 1.3 | ||||||||||||
| 36 | 6.6 | 2.3 | 73 | 19.8 | 0.6 | ||||||||||||
| 37 | 6.7 | 1.2 | 74 | 24.0 | 1.7 | ||||||||||||
(b) Find the correlation coefficient.
(Round your answer to 3 decimal places. A negative value
should be indicated by a minus sign.)
r
_________
(c-1) To test the correlation coefficient for
significance at α = 0.01, fill in the following.
(Use the rounded value of the correlation
coefficient from part b in all calculations. For final answers,
round tcalc to 3 decimal places and the
p-value to 4 decimal places. Negative values should be
indicated by a minus sign.)
| tcalc | |
| p-value | |
In: Statistics and Probability
Below are percentages for annual sales growth and net sales attributed to loyalty card usage at 74 Noodles & Company restaurants.
| Annual Sales Growth (px;) and Loyalty Card Usage
(px; of Net Sales) (n = 74 restaurants) |
|||||||||||||||||
| Store | Growth% | Loyalty% | Store | Growth% | Loyalty% | ||||||||||||
| 1 | -6.6 | 1.9 | 38 | 7.4 | 1.2 | ||||||||||||
| 2 | -6.2 | 2.3 | 39 | 7.5 | 1.7 | ||||||||||||
| 3 | -6.1 | 2.2 | 40 | 7.5 | 2.0 | ||||||||||||
| 4 | -5.9 | 2.0 | 41 | 7.5 | 1.4 | ||||||||||||
| 5 | -3.8 | 2.3 | 42 | 7.6 | 1.2 | ||||||||||||
| 6 | -1.9 | 1.7 | 43 | 7.6 | 1.9 | ||||||||||||
| 7 | -1.9 | 1.9 | 44 | 7.9 | 1.9 | ||||||||||||
| 8 | -1.8 | 1.3 | 45 | 8.1 | 1.7 | ||||||||||||
| 9 | -0.9 | 1.6 | 46 | 8.3 | 2.7 | ||||||||||||
| 10 | -0.5 | 2.3 | 47 | 8.7 | 0.7 | ||||||||||||
| 11 | 0.4 | 1.9 | 48 | 8.9 | 2.0 | ||||||||||||
| 12 | 0.4 | 1.4 | 49 | 8.9 | 1.3 | ||||||||||||
| 13 | 0.6 | 2.3 | 50 | 8.9 | 2.2 | ||||||||||||
| 14 | 0.8 | 2.2 | 51 | 9.2 | 1.7 | ||||||||||||
| 15 | 0.8 | 2.0 | 52 | 10.8 | 1.8 | ||||||||||||
| 16 | 1.0 | 1.6 | 53 | 10.9 | 1.5 | ||||||||||||
| 17 | 1.8 | 1.3 | 54 | 10.9 | 1.6 | ||||||||||||
| 18 | 2.0 | 2.4 | 55 | 11.2 | 2.5 | ||||||||||||
| 19 | 4.0 | 0.7 | 56 | 11.2 | 2.4 | ||||||||||||
| 20 | 4.2 | 1.4 | 57 | 11.4 | 1.3 | ||||||||||||
| 21 | 4.3 | 2.4 | 58 | 11.6 | 0.6 | ||||||||||||
| 22 | 4.3 | 1.2 | 59 | 11.9 | 2.4 | ||||||||||||
| 23 | 4.4 | 2.5 | 60 | 11.9 | 1.3 | ||||||||||||
| 24 | 4.6 | 2.7 | 61 | 13.0 | 1.5 | ||||||||||||
| 25 | 5.0 | 1.5 | 62 | 14.7 | 1.8 | ||||||||||||
| 26 | 5.2 | 1.7 | 63 | 14.8 | 2.0 | ||||||||||||
| 27 | 5.3 | 1.5 | 64 | 15.4 | 2.4 | ||||||||||||
| 28 | 5.7 | 1.9 | 65 | 15.8 | 1.3 | ||||||||||||
| 29 | 5.8 | 2.5 | 66 | 17.6 | 2.2 | ||||||||||||
| 30 | 6.0 | 1.8 | 67 | 17.7 | 0.5 | ||||||||||||
| 31 | 6.4 | 2.2 | 68 | 18.1 | 1.9 | ||||||||||||
| 32 | 6.6 | 1.5 | 69 | 18.3 | 1.6 | ||||||||||||
| 33 | 6.6 | 2.0 | 70 | 18.4 | 2.2 | ||||||||||||
| 34 | 6.7 | 1.4 | 71 | 21.4 | 1.7 | ||||||||||||
| 35 | 6.8 | 2.0 | 72 | 23.8 | 1.7 | ||||||||||||
| 36 | 7.2 | 2.0 | 73 | 24.2 | 0.6 | ||||||||||||
| 37 | 7.3 | 2.3 | 74 | 25.6 | 2.0 | ||||||||||||
(b) Find the correlation coefficient.
(Round your answer to 3 decimal places. A negative value
should be indicated by a minus sign.)
r
(c-1) To test the correlation coefficient for
significance at α = 0.1, fill in the following.
(Use the rounded value of the correlation
coefficient from part b in all calculations. For final answers,
round tcalc to 3 decimal places and the
p-value to 4 decimal places. Negative values should be
indicated by a minus sign.)
| tcalc | |
| p-value | |
(c-2) There is no significant correlation.
False
True
(d) Does it appear that increased loyalty card
usage is associated with decreased sales growth?
Yes
No
Next
In: Statistics and Probability