Companies in the U.S. car rental market vary greatly in terms of the size of the fleet, the number of locations, and annual revenue. In 2011, Hertz had 320,000 cars in service and annual revenue of approximately $4.2 billion. Suppose the following data show the number of cars in service (1,000s) and the annual revenue ($ millions) for six smaller car rental companies.
| Company | Cars (1,000s) |
Revenue ($ millions) |
|---|---|---|
| Company A | 11.5 | 118 |
| Company B | 10.0 | 137 |
| Company C | 9.0 | 100 |
| Company D | 5.5 | 35 |
| Company E | 4.2 | 40 |
| Company F | 3.3 | 32 |
(1)Develop a scatter diagram with the number of cars in service as the independent variable.
(2)What does the scatter diagram developed in part (a) indicate about the relationship between the two variables?
a.There appears to be a positive linear relationship between cars in service (1,000s) and annual revenue ($ millions).
b.There appears to be no noticeable relationship between cars in service (1,000s) and annual revenue ($ millions).
c.There appears to be a negative linear relationship between cars in service (1,000s) and annual revenue ($ millions).
(3)Use the least squares method to develop the estimated regression equation that can be used to predict annual revenue (in $ millions) given the number of cars in service (in 1,000s). (Round your numerical values to three decimal places.)
ŷ = ___
(4)For every additional car placed in service, estimate how much annual revenue will change (in dollars). (Round your answer to the nearest integer.)
Annual revenue will increase by $___, for every additional car placed in service.
(5)A particular rental company has 6,000 cars in service. Use the estimated regression equation developed in part (3) to predict annual revenue (in $ millions) for this company. (Round your answer to the nearest integer.)
$ ___ million
In: Statistics and Probability
| 2005 | 2012 | |
| Response of Interest | Yes | Yes |
| Sample Size | 450 | 450 |
| Count for Response | 90 | 72 |
| Sample Proportion | 0.2000 | 0.1600 |
| Confidence Interval (in terms of 2005 - 2012) | ||
| Confidence Coefficient | 0.90 | |
| Lower Limit | -0.0021 | |
| Upper Limit | 0.0821 | |
| Hypothesis Test (in terms of 2005 - 2012) | ||
| Hypothesized Value | ||
| Pooled Sample Proportion | 0.1800 | |
| Test Statistic | ||
| p-value (Lower Tail) | ||
| p-value (Upper Tail) | ||
| p-value (Two Tail) |
| 2005 | 2012 | |
| Response of Interest | Yes | Yes |
| Sample Size | 450 | 450 |
| Count for Response | 90 | 72 |
| Sample Proportion | 0.2000 | 0.1600 |
| Confidence Interval (in terms of 2005 - 2012) | ||
| Confidence Coefficient | 0.90 | |
| Lower Limit | -0.0021 | |
| Upper Limit | 0.0821 | |
| Hypothesis Test (in terms of 2005 - 2012) | ||
| Hypothesized Value | ||
| Test Statistic | ||
| p-value (Lower Tail) | ||
| p-value (Upper Tail) | ||
| p-value (Two Tail) |
Oil wells are expensive to drill, and dry wells are a great concern to oil exploration companies. Aegis Oil, LLC took independent random samples of 450 wells drilled in 2005 and 450 wells drilled in 2012 to determine which ones were dry. If a sampled well was dry, a "Yes" was entered into Excel. Does the evidence suggest that the true proportion of dry wells in 2005 exceeds the true proportion of dry wells in 2012 by more than .01 at α=.1? Based on this paragraph of text, use the correct excel output above to answer the following question.
For the hypothesis stated above, what is the test statistic (in terms of "2005" minus "2012")?
| a. |
1.1713 |
|
| b. |
1.5639 |
|
| c. |
None of the answers is correct |
|
| d. |
1.1729 |
|
| e. |
1.5617 |
In: Statistics and Probability
Transactions; Financial Statements
Bev’s Dry Cleaners is owned and operated by Beverly Zahn. A building and equipment are currently being rented, pending expansion to new facilities. The
actual work of dry cleaning is done by another company for a fee. The assets and the liabilities of the business on November 1, 2019, are as follows: Cash,
$14,280; Accounts Receivable, $29,240; Supplies, $2,720; Land, $34,000; Accounts payable, $12,240. Business transactions during November are
summarized as follows:
a. Beverly Zahn invested additional cash in the business with a deposit of $27,000 in the business bank account.
b. Purchased land adjacent to land currently owned by Bev’s Dry Cleaners to use in the future as a parking lot, paying cash of $13,400.
c. Paid rent for the month, $16,320.
d. Charged customers for dry cleaning revenue on account, $4,900.
e. Paid creditors on account, $2,280.
f. Purchased supplies on account, $12,080.
g. Received cash from cash customers for dry cleaning revenue, $26,110.
h. Received cash from customers on account, $32,640.
i. Received monthly invoice for dry cleaning expense for November (to be paid on December 10), $13,060.
j. Paid the following: wages expense, $7,180; truck expense, $2,610; utilities expense, $2,770; miscellaneous expense, $1,240.
k. Determined that the cost of supplies on hand was $1,800; therefore, the cost of supplies used during the month was $3,200.
l. Withdrew $7,500 cash for personal use; Financial Statements
Bev’s Dry Cleaners is owned and operated by Beverly Zahn. A building and equipment are currently being rented, pending expansion to new facilities. The
actual work of dry cleaning is done by another company for a fee. The assets and the liabilities of the business on November 1, 2019, are as follows: Cash,
$14,280; Accounts Receivable, $29,240; Supplies, $2,720; Land, $34,000; Accounts payable, $12,240. Business transactions during November are
summarized as follows:
a. Beverly Zahn invested additional cash in the business with a deposit of $27,000 in the business bank account.
b. Purchased land adjacent to land currently owned by Bev’s Dry Cleaners to use in the future as a parking lot, paying cash of $13,400.
c. Paid rent for the month, $16,320.
d. Charged customers for dry cleaning revenue on account, $4,900.
e. Paid creditors on account, $2,280.
f. Purchased supplies on account, $12,080.
g. Received cash from cash customers for dry cleaning revenue, $26,110.
h. Received cash from customers on account, $32,640.
i. Received monthly invoice for dry cleaning expense for November (to be paid on December 10), $13,060.
j. Paid the following: wages expense, $7,180; truck expense, $2,610; utilities expense, $2,770; miscellaneous expense, $1,240.
k. Determined that the cost of supplies on hand was $1,800; therefore, the cost of supplies used during the month was $3,200.
l. Withdrew $7,500 cash for personal use; Financial Statements
Bev’s Dry Cleaners is owned and operated by Beverly Zahn. A building and equipment are currently being rented, pending expansion to new facilities. The
actual work of dry cleaning is done by another company for a fee. The assets and the liabilities of the business on November 1, 2019, are as follows: Cash,
$14,280; Accounts Receivable, $29,240; Supplies, $2,720; Land, $34,000; Accounts payable, $12,240. Business transactions during November are
summarized as follows:
a. Beverly Zahn invested additional cash in the business with a deposit of $27,000 in the business bank account.
b. Purchased land adjacent to land currently owned by Bev’s Dry Cleaners to use in the future as a parking lot, paying cash of $13,400.
c. Paid rent for the month, $16,320.
d. Charged customers for dry cleaning revenue on account, $4,900.
e. Paid creditors on account, $2,280.
f. Purchased supplies on account, $12,080.
g. Received cash from cash customers for dry cleaning revenue, $26,110.
h. Received cash from customers on account, $32,640.
i. Received monthly invoice for dry cleaning expense for November (to be paid on December 10), $13,060.
j. Paid the following: wages expense, $7,180; truck expense, $2,610; utilities expense, $2,770; miscellaneous expense, $1,240.
k. Determined that the cost of supplies on hand was $1,800; therefore, the cost of supplies used during the month was $3,200.
l. Withdrew $7,500 cash for personal use
In: Accounting
You are the CFO of a publicly held company and need to raise capital for the firm by issuing some kind of equity. Why would a firm want to issue both preferred stock and common stock rather than just one category of stock? Search an article or the Internet for an academic or industry-related article. Select an article that relates to these concepts in the context of doing business in Saudi Arabia. For your discussion post, your first step is to summarize the article in two paragraphs, describing what you think are the most important points made by the authors (remember to use citations where appropriate). For the second step, include the reference listing with a hyperlink to the article. Do not copy the article into your post and limit your summary to two paragraphs. Let your instructor know if you have any questions and enjoy your search. You need to reply to at least two of your peers’ answer posts to this discussion question. These replies need to be substantive and constructive in nature. They should add to the content of the post and evaluate/analyze the answer. Normal course dialogue doesn’t fulfill these two peer replies, but is expected throughout the course. Answering all course questions is also required.
In: Accounting
You are the auditor of a publicly listed company. In the kickoff meeting for the audit 2018, the chairman of the board of director, who is also a controlling shareholder presented to you the following financial information:
|
Budget for the year of 2019 (based on last 5 months’ trading results of 2018) $ million |
Unaudited financial information for the year ended 31 December 2018 $ million |
|
|
Revenue |
5,000 |
4,500 |
|
Total assets |
5,000 |
4,500 |
|
Net assets |
2,500 |
2,250 |
|
Profit before income tax expense |
510 |
400 |
The worldwide economy is currently static, and consumer confidence has a little bit falling in the first quarter 2019. The company has an internal audit function. In previous years, your assessment of the system of internal control was that it was effective. Your experience with the company in past years has shown that its forecasts are generally reliable.
Required:
a) What qualitative factors referred to in the information given above about Amusement will you consider in determining preliminary materiality for the 2018 audit? How will these factors affect your assessment of materiality?
You are required to present your answer with (1) Qualitative factors, (2) Effect on materiality
b) What quantitative factors referred to in the above information about Amusement will you consider in determining preliminary materiality for the 2018 audit? Why?
In: Accounting
| Year | Quarter | SPeClty |
| 2006 | 3 | 4480.77 |
| 4 | 5827.48 | |
| 2007 | 1 | 5602.84 |
| 2 | 5269.74 | |
| 3 | 4945.67 | |
| 4 | 5124.22 | |
| 2008 | 1 | 4996.31 |
| 2 | 5147.61 | |
| 3 | 4903.32 | |
| 4 | 4960.84 | |
| 2009 | 1 | 4864.16 |
| 2 | 4785.21 | |
| 3 | 4684.43 | |
| 4 | 4732.58 | |
| 2010 | 1 | 4947.63 |
| 2 | 4826.21 | |
| 3 | 4801.46 | |
| 4 | 4789.05 | |
| 2011 | 1 | 4812.69 |
| 2 | 4787.65 | |
| 3 | 4871.31 | |
| 4 | 4756.61 | |
| 2012 | 1 | 4583.15 |
| 2 | 4659.09 | |
| 3 | 4587.55 | |
| 4 | 4746.01 | |
| 2013 | 1 | 4556.63 |
| 2 | 4632.57 | |
| 3 | 4561.03 | |
| 4 | 4719.49 | |
| 2014 | 1 | 4516.85 |
| 2 | 4592.78 | |
| 3 | 4521.24 | |
| 4 | 4844.6 | |
| 2015 | 1 | 4588.54 |
| 2 | 4571.84 | |
| 3 | 4671.24 | |
| 4 | 5011.6 | |
| 2016 | 1 | 4821.54 |
| 2 | 4916.84 | |
| 3 | 4791.31 | |
| 4 | 5183.49 | |
| 2017 | 1 | 5045.38 |
| 2 | 5138.97 | |
| 3 | 4915.37 | |
| 4 | 5369.34 | |
| 2018 | 1 | 5379.83 |
| 2 | 5481 | |
| 3 | 5265.31 | |
| 4 | 5579.14 | |
| 2019 | 1 | 5743.98 |
| 2 | 5750.01 | |
| 3 | 5542.86 |
a) in a paragraph write about Trend and
Seasonality of this store.
b) write about Regression model(s) and examine hypotheses
c) what is the least square regression line?
d) write about standard error and interpret it in a short paragraph.
* please just do it with excel and explain how you are solving it (preferred to use excel screenshots)
In: Statistics and Probability
The H & S Motor Company produces small motors at a production cost of $30 per unit. Defective motors can be reworked at a cost of $12 each. The company produces 100 motors per day and averages 88 percent good quality motors. Based on past experience, 50% of the defective motors can be reworked prior to shipping to customers. These are also considered good motors. A good motor can be sold for $100 while a defective motor can be scrapped and sold for $16. Income consists of both the revenue from the sold motors and the scrapped motors.
1. Using the number of good motors shipped as the measure of output and the cost of production as the input, what is the company's productivity if no defective motors are reworked?
2. Suppose that the company now uses the total income as the output measure and the cost of production as the input. What is the company's productivity if no defective motors are reworked?
3. Now suppose the company reworks the defective motors that can be reworked. Using the number of good motors shipped as the measure of output and the cost of production as the input, what is the company's productivity now?
4. What is the percent change in productivity comparing the productivity in #3 to the productivity in #1?
In: Operations Management
What are the basic differences between the revenue realization principle and revenue from the contract with customers (ASC 606)? Do you think ASC 606 is better than the realization principle? Why? Give your reasons.
In: Accounting
The National Sleep Foundation used a survey to determine whether hours of sleeping per night are independent of age (Newsweek, January 19, 2004). The following show the hours of sleep on weeknights for a sample of individuals age 49 and younger and for a sample of individuals age 50 and older. Hours of Sleep Age Fewer than 6 6 to 6.9 7 to 7.9 8 or more Total 49 or younger 37 58 71 74 240 50 or older 34 60 79 87 260
a.Conduct a test of independence to determine whether the hours of sleep on weeknights are independent of age. Use = .05.
Compute the value of the 2 test statistic (to 2 decimals).
b.Using the total sample of 500, estimate the percentage of people who sleep less than 6, 6 to 6.9, 7 to 7.9, and 8 or more hours on weeknights (to 1 decimal).
Less than 6 hours %
6 to 6.9 hours %
7 to 7.9 hours %
8 or more hours %
In: Math
A person’s muscle mass is expected to be associated with age. Some people also thought exercise time would be associated with the muscle mass. To explore the potential relationships between muscle mass and age, muscle mass and exercise time, a nutritionist randomly selected 20 women from a population of women with age ranging from 40 to 80 years old, and measured their muscle mass (a score without unit) and exercise time (hours per month)
|
Patient |
Age |
MuscleMass |
ExcerciseTime |
|
1 |
43 |
106 |
23 |
|
2 |
41 |
106 |
24 |
|
3 |
47 |
97 |
26 |
|
4 |
76 |
56 |
21 |
|
5 |
72 |
70 |
23 |
|
6 |
76 |
74 |
19 |
|
7 |
42 |
105 |
22 |
|
8 |
49 |
97 |
17 |
|
9 |
53 |
92 |
14 |
|
10 |
44 |
103 |
21 |
|
11 |
63 |
80 |
25 |
|
12 |
55 |
90 |
16 |
|
13 |
66 |
77 |
25 |
|
14 |
58 |
86 |
19 |
|
15 |
70 |
72 |
18 |
|
16 |
57 |
87 |
22 |
|
17 |
71 |
71 |
21 |
|
18 |
46 |
100 |
18 |
|
19 |
61 |
83 |
27 |
|
20 |
68 |
74 |
20 |
|
21 |
44 |
105 |
21 |
|
22 |
53 |
94 |
19 |
|
23 |
60 |
82 |
23 |
|
24 |
72 |
78 |
21 |
What do the two regression parameters (b0 and b1) mean?
In: Math