Questions
In Kelo v. City of New London, 545 U.S. 469 (2005), the U.S. Supreme Court decided...

In Kelo v. City of New London, 545 U.S. 469 (2005), the U.S. Supreme Court decided a case in which landowners challenged the power of a city in Connecticut to take their property for redevelopment. The redevelopment plan did not contemplate that all of the land would be open to the public. Parts would be privately developed. The plaintiffs alleged that the taking was unconstitutional because it was not for a public purpose. The Supreme Court rejected this claim. Use economic analysis to argue for or against the view that such a mixed development plan should be regarded as serving a public purpose.

In: Economics

(a) Have DRM systems gone too far, as some critics claim? Recall the 2005 Sony BMG...

(a) Have DRM systems gone too far, as some critics claim? Recall the 2005 Sony BMG copy protection case involving the controversial “rootkit” problem (examined in Scenario 9-2). (b) Should Sony have been allowed to use a DRM system that cannot easily be uninstalled when circumstances warrant it? (c) Do companies like Sony need strong DRM systems to ensure the protection of their intellectual property rights? (d) What kind of compromise position might be reached between users and content owners in the ongoing debate about DRM systems? Please elaborate (beyond a yes or no answer) and provide your “theoretical” rationale in support of your responses. (comprehension)

pIease answer aII the questI0ns

In: Computer Science

On February 12, 2005, Nancy Trout and Delores Lake formed Kingfisher Corporation to sell fishing tackle....

On February 12, 2005, Nancy Trout and Delores Lake formed Kingfisher Corporation to sell fishing tackle. Pertinent information regarding Kingfisher is summarized as follows. Kingfisher's business address is 1717 Main Street, Ely, MN 55731; its telephone number is (218) 555-2211; and its e-mail address is [email protected]. The employer identification number is 11-1111111, and the principal business activity code is 451110. Nancy owns 50% of the common stock and is president of the company, and Delores owns 50% of the common stock and is vice president of the company. No other class of stock is authorized. Both Nancy and Delores are full-time employees of Kingfisher. Nancy's Social Security number is 123-45-6789, and Delores's Social Security number is 987-65-4321. Kingfisher is an accrual method, calendar year taxpayer. Inventories are determined using FIFO and the lower of cost or market method. Kingfisher uses the straight-line method of deprecation for book purposes and accelerated depreciation (MACRS) for tax purposes. During 2018, the corporation distributed cash dividends of $80,000. Kingfisher's financial statements for 2018 are shown below.

Income Statement
Income
Gross sales $2,408,000
Sales returns and allowances (80,000)
Net sales $2,328,000
Cost of goods sold (920,000)
Gross profit $1,408,000
Dividends received from stock investments in
      less-than-20%-owned U.S. corporations
12,000
Interest income:
    State bonds $  14,000
    Certificates of deposit 10,000 24,000
Total income $1,444,000
Expenses
Salaries—officers
    Nancy Trout $160,000
    Delores Lake 160,000 $320,000
Salaries—clerical and sales 290,000
Taxes (state, local, and payroll) 85,000
Repairs and maintenance 56,000
Interest expense:
    Business loans $  12,000
    Loan to purchase state bonds 8,000 20,000
Advertising 6,000
Rental expense 68,000
Depreciation* 40,000
Charitable contributions 15,000
Employee benefit programs 24,000
Premiums on term life insurance policies on lives of Nancy Trout and
      Delores Lake; Kingfisher is the designated beneficiary
16,000
Total expenses (940,000)
Net income before taxes $  504,000
Federal income tax (106,680)
Net income per books $397,320

*The depreciation expense for taxes is the sames as the depreciation expense per the books.

Balance Sheet
Assets January 1, 2018 December 31, 2018
Cash $  380,000     $  337,300      
Trade notes and accounts receivable 308,400     480,280      
Inventories 900,000     1,012,000      
State bonds 160,000     160,000      
Federal income tax refund -0-     1,320      
Certificates of deposit 140,000     140,000      
Stock investments 300,000     300,000      
Building and other depreciable assets 240,000     240,000      
Accumulated depreciation (88,800)    (128,800)     
Land 20,000     20,000      
Other assets 3,600     2,000      
    Total assets $2,363,200     $2,564,100      
Liabilities and Equity January 1, 2018 December 31, 2018
Accounts payable $  300,000     $  223,880      
Other current liabilities 80,300     40,000      
Mortgages 210,000     200,000      
Capital stock 500,000     500,000      
Retained earnings 1,272,900     1,590,220      
    Total liabilities and equity $2,363,200     $2,564,100      

During 2018, Kingfisher made estimated tax payments of $27,000 each quarter to the IRS.

Determine Kingfisher's income tax liability for tax year 2018 providing the following information that would be reported on Form 1120 and supporting schedules.

In: Accounting

Carolyn Bivens: Change Agent at the Ladies Professional Golf Association In 2005 when Carolyn Bivens became...

Carolyn Bivens: Change Agent at the Ladies Professional Golf Association

In 2005 when Carolyn Bivens became commissioner of the Ladies Professional Golf Association (LPGA), she was surprised to learn that 70 percent of tournaments were losing money. Many of these events hardly compensated the tour for its support. She also inherited unsigned contracts and different financial practices for different tournaments. She was also shocked to see the differences between the PGA and LPGA. At many events, women passed on the smaller women’s locker rooms and instead used the more spacious men’s locker rooms, where pots of geraniums sometimes disguised urinals. The difference between winning a PGA event and an LPGA event often approached $1 million.

Having a deficit was not an option that Bivens could live with. She moved quickly and unilaterally, bluntly telling tournament owners that they needed to pay for services rendered. In some cases, fees were raised from $15,000 to $100,000. Tournament sponsors balked at the increase and some left, including Corning Glass, which had been a sponsor of the Corning Glass tournament for more than 31 years, and McDonald’s. Corning Classic’s sponsorship dollars had declined more than 20 percent and Corning’s board chairman, Jack Benjamin, said, “We want to be part of the LPGA, but I want to make sure that everybody understands this—if the revenue side of the ledger does not match with the expense side—we cannot support the LPGA.” Even long-time partner Anheuser-Busch, sponsor of the Michelob Ultra Classic, started rethinking its sponsorship.

Bivens was described as the proverbial bull in a china shop, causing controversy since she replaced Charlie Mechem, whom players called affectively “Uncle Charlie.” Bivens maintained a vision that she could make the LPGA a model for 21st-century sports organizations. To keep the LPGA on solid financial footing, after looking at each event’s profit and losses and severing ties with long-time sponsors, she found new sponsors that were willing to pay bigger purses. For example, she secured Ginn as a sponsor for two new LPGA events and touted the real estate developer as a new partner who could offer the bigger purses that her players deserved. She even moved some long-standing tournament dates around to satisfy Ginn, causing certain long-time sponsors to question her judgment. Unfortunately, when the real estate market crashed in 2008 and 2009, Ginn foreclosed on its tournament commitments. Bivens also battled the media over control of image rights, and imposed an English-proficiency policy for the tour’s international players. She took the latter action to make the tour and its players more marketable. This action caused such an uproar that she had to rescind the policy.

She landed a 10-year deal with the Golf Channel that was worth between $3 and $4 million a year depending on the tour’s ability to get TV sponsors. Historically, the LPGA had jumped among channels, on network and cable, making it difficult to develop a fan following. She worked on improving the meager LPGA pension plan. At that time, the LPGA had no medical benefits for its members. Bivens aimed to leverage the LPGA brand by going international. She signed a 5-year broadcasting-rights tour exclusive contract with J. Golf, a South Korean TV company, for more than $4 million dollars a year. This was a major feat during the recession of 2009 when most companies dramatically cut sports marketing programs. In 2009, she traveled to India, Abu Dhabi, and Dubai to determine interest in those countries. She stated that players would have to adjust to a globetrotting schedule if that’s what it took to make the tour financially viable.

For the most part, at that time, the LPGA did not own its events. Rather, it extended contracts to third parties to host them. But in 2010, the LPGA finally established ownership of a major championship, the LPGA Championship. Unfortunately, McDonald’s then ended its sponsorship of that event and many began questioning the LPGA’s ability to raise more than $3 million to stage it. The loss of local sponsors and rising operating costs was taking a toll on LPGA tour events as well. The title sponsorship of a regular PGA tour event, such as the HP Byron Nelson or Shell Houston Open, costs $6 to $8 million annually (including a TV commitment of $3 million). Sixty-eight percent of the LPGA’s future tour events did not have sponsors, which meant that the tour’s schedule was cloaked with uncertainty. In fact, Bivens acknowledged that it was “high risk and high reward” time for the LPGA.

Adding to the LPGA’s challenge was a backlash against golf sponsorships in general at that time due to the economy. Bivens knew that companies still wanted the business opportunities that tournaments created, but with less fanfare and spectacle to avoid public backlash. At the 2009 Michelob Ultra Open at Kingsmill, Virginia, for example, Anheuser-Busch cancelled its annual champions’ dinner, which mingled past champions with Anheuser-Busch executives, because InBev, the Belgian brewer that now owns Anheuser-Busch, thought that such an expense was not needed. Even so, Bivens believed that the LPGA’s hospitality benefits would save the LPGA. The networking that occurred in the Wednesday pro-amateur rounds could not be duplicated anywhere else. “The fact that a sponsor can spend five hours with its biggest three or four customers away from the office is something that money can’t buy,” she says. The LPGA pro-ams are played in a scramble format, ensuring participants the opportunity to share their experience with their LPGA hosts. Because of these issues, in July 2009 Bivens resigned her position as commissioner of the LPGA.

Questions

  • Q1: Which forces did Bivens face that supported change and which resisted change? support change:(Technology, globalization, generational differences, social networks)
  • Q2: Did she use an economic or an organizational development approach to create change? Was it effective?

In: Operations Management

You received a high-yield savings account that contains $1,000,000. The account has a 7% annual interest...

You received a high-yield savings account that contains $1,000,000. The account has a 7% annual interest rate and you want to take out a constant amount every year for 40 years.

1. How much would you be able to withdraw every year? Hint: the annual interest rate should be used as the discount rate in the finite time annuity formula.

2. Using Microsoft Excel, decompose your annual withdrawals into interest revenue and revenue earned from principal deduction (for example, at t=1, you get 7% x $1,000,000 in interest, and take the remaining amount from the principal – these together should equal the amount you determined in (1)). Graph interest revenue and principal revenue together, with time on the xaxis. Report the graph based on all 40 years, and only report the interest revenue and principal revenue numbers for the first 10 years.

3. Suppose you want to take out $100,000 per year. For how many years would you be able to make this exact withdrawal?

4. After your last exact withdrawal from (3), you decide to withdraw everything in your account one year later. How much money would you get from your final withdrawal?

In: Finance

Concert Nation] Concert Nation, INC. is a nationwide promoter of rock concerts. The president of the...

Concert Nation] Concert Nation, INC. is a nationwide promoter of rock concerts. The president of
the company wants to develop a model to estimate the revenue of a major concert event at large venues
(such as Ford Field, Madison Square Gardens) for planning marketing strategies. The company has
collected revenue data of 32 recent large concert events. For each concert, they have also recorded the
attendance, the number of concession stands in the venue, and the Billboard chart of the artist in the
week of each event. This data is available in “Tickets”. They have two potential models that could
explain the revenue. The two competing models are:

Model A: ??????? = ?? + ???????????? + ???????????? + ??????????? + ?0123?

Model B: ??????? = ?? + ???????????? + ??????????? + ?012?

Run regression on both models. Use only the regression outputs of the two models and the original data
to answer questions 1 to 7 below.
1. [1 pt] Let’s consider the model A first. What does the result of F-test indicate?
(a) The p-value of F-test is 100.83. Thus, the model does not significantly explain the revenue.
(b) The p-value of F-test is close to zero. Thus, all independent variables in the regression model are
statistically significant.
(c) The p-value of F-test is close to zero. This indicates that at least some independent variables in the
regression model significantly explain the revenue.
(d) This indicates weak evidence of a linear relationship, because the p-value is very low.
2
2. [1 pt] If we use model A for prediction, what is the point estimate for the revenue of a concert that has
attendance of 50,000 people, 5 concession stands, and the song ranked in no. 15 in the Billboard ranking?
(a) $3.145 M
(b) $2.851 M
(c) $3.252 M
(d) $340K
3. [1 pt] What is an approximate 95% prediction interval for the concert listed in the previous question?
(a) [$2.757M, $3.533M]
(b) [$2.463M, $3.239M]
(c) [$2.368M, $3.922M]
(d) [$2.074M, $3.628M]
4. [1 pt] Which of the following statement is correct?
(a) The estimated slope for the attendance is only $59.2. This means that, when keeping everything
else the same, the revenue does not depend much on the attendance.
(b) The t-statistic associated with the slope for the attendance variable is 16.9. This means that there is
too much noise to determine if the slope is definitely positive.
(c) The p-value for the concession variable is 0.933. This means that the number of concession stands
is not a statistically significant variable to determine the revenue.
(d) The p-value for the concession variable is 0.933. This means that the number of concession stands
is a statistically significant variable to determine the revenue.
5. [1 pt] Is it appropriate to use model A as a final model to estimate the revenue of a concert?
(a) Yes. All independent variables are statistically significant.
(b) Yes, because the analysis indicates a linear relationship between revenue and attendance.
(c) No, because not all independent variables are statistically important. Thus, revision is necessary.
(d) No, because some of the slopes were negative. Thus, revision is necessary.
3
6. [1 pt] Now, consider model B. According to model B, what is a point estimate for a concert that has
attendance of 50000 people, 5 concession stands, and the song ranked in no. 15 in the Billboard ranking?
(a) $3.147M
(b) $2.839M
(c) $7.139M
(d) $13.637M
7. [1 pt] Based on the regression outputs, which model would you consider more suitable for predicting the
revenue between the two models– Model A and Model B?
(a) Model A is more suitable, because it has a higher ?2, lower standard error of the estimates
(??), and lower F-test p-value.
(b) Model A is more suitable because the fraction of SST accounted for by the residuals is higher than
for model B.
(c) Model B is more suitable, because, while both models have similar ?2 and F-test p-value, model B
has lower standard error of the estimates (??) and all independent variables are statistically
significant.
(d) Model B is more suitable, because the slope coefficient is larger in magnitude.

Attendance # of concessions Billboard Charts Concert Revenue
30650 8 56 1531762
80997 1 87 4047180
93686 8 24 5805972
44405 4 99 2516538
77767 4 39 4197208
95780 7 35 6226065
82701 7 86 4123048
50165 8 29 3465110
50619 5 93 2843474
36259 7 86 1866318
52013 5 35 2670798
97447 7 71 5756817
69982 7 97 3681670
31789 10 72 2072149
39787 6 89 1964361
63596 5 65 3150802
73159 5 41 5064323
51172 8 1 2901564
54187 9 17 3170058
56681 7 1 3316764
78466 7 86 3825369
65132 8 86 2983563
52866 4 8 3091641
39536 2 20 3068049
32541 1 53 1796727
36441 1 60 2011990
74987 6 58 4389931
33791 8 81 1545359
64961 6 94 3792136
61429 3 86 2695672
68178 4 50 4147528
85701 5 52 5335423

In: Statistics and Probability

Your company, VZ, is evaluating the proposal of replacing one of its old cell phone towers...

Your company, VZ, is evaluating the proposal of replacing one of its old cell phone towers with one with built-in new technology and GPS supporting system. The old tower has a book value of $600,000 and a remaining useful life of 5 years. The firm does not expect to realize any return from scrapping the old tower in 5 years, but it can be sold today to another wireless provider today for $265,000. The old system is being depreciated toward a zero salvage value by $120,000 using straight line method. The new system has a purchase price of $1,175,000, an estimated useful life and MACRS class life of five years, and an estimated market value of $145,000 at the end of five years. The new towers is expected to allow VZ obtain additional customers to increase its revenue by $230,000 per year and also reduce cost due to maintenance, compensating customers for dropped calls which save an additional $25,000 annually. Verizon’s marginal tax rate is 36%.

  1. What is the investment outlay of the system for capital budgeting purposes?

  1. Calculate the annual depreciation allowances for both machines, and compute the change in the annual depreciation expense if the replacement is made.

  1. What are the incremental operating cash flows in Year 1 through 5?

  2. What is the terminal cash flow in Year 5?

  3. If the project’s required rate of return is 12%, should the project be pursued? What if the required rate of return is 18%? What if the required rate of return is 8%?

  4. In general, how would each of the following factors affect the investment decision and how should each be treated?

    1. The expected life of the existing machine decreases?

    2. The required rate of return is not constant but is increasing as VZ adds more projects into its capital budget?

In: Finance

On January 1, 2018, the general ledger of Grand Finale Fireworks includes the following account balances:...

On January 1, 2018, the general ledger of Grand Finale Fireworks includes the following account balances:

  Accounts Debit Credit
  Cash $ 43,500
  Accounts Receivable 46,100
  Supplies 8,300
  Equipment 72,000
  Accumulated Depreciation $ 9,800
  Accounts Payable 15,400
  Common Stock, $1 par value 18,000
  Additional Paid-in Capital 88,000
  Retained Earnings 38,700
       Totals $ 169,900 $ 169,900
During January 2018, the following transactions occur:
January 2 Issue an additional 2,000 shares of $1 par value common stock for $40,000.
January 9 Provide services to customers on account, $16,800.
January 10 Purchase additional supplies on account, $5,700.
January 12 Repurchase 1,100 shares of treasury stock for $21 per share.
January 15 Pay cash on accounts payable, $17,300.
January 21 Provide services to customers for cash, $49,900.
January 22 Receive cash on accounts receivable, $17,400.
January 29

Declare a cash dividend of $0.30 per share to all shares outstanding on January 29. The dividend is payable on February 15.

(Hint: Grand Finale Fireworks had 18,000 shares outstanding on January 1, 2018 and dividends are not paid on treasury stock.)

January 30 Reissue 900 shares of treasury stock for $23 per share.
January 31 Pay cash for salaries during January, $42,800.


The following information is available on January 31, 2018.

Unpaid utilities for the month of January are $7,000.

Supplies at the end of January total $5,900.

Depreciation on the equipment for the month of January is calculated using the straight-line method. At the time the equipment was purchased, the company estimated a service life of three years and a residual value of $10,800.

Accrued income taxes at the end of January are $2,800.

I need help preparing the closing statements for revenue, closing statement for expenses and closing statement for dividends

In: Accounting

Bridgeport Corp. uses a periodic inventory system reports the following for the month of June. Date...

Bridgeport Corp. uses a periodic inventory system reports the following for the month of June.

Date

Explanation

Units

Unit Cost

Total Cost

June 1

Inventory

112

$5

$560

12

Purchases

336

6

2016

23

Purchases

190

7

1330

30

Inventory

200

A sale of 388 units occurred on June 15 for a selling price of $8 and a sale of 50 units on June 27 for $9.

Calculate the average cost per unit, using a perpetual inventory system. (Round answers to 3 decimal places, e.g. 5.125.)

June 1

$5

June 12

$5.75

June 15

$5.75

June 23

$

June 27

$

Calculate cost of the ending inventory and the cost of goods sold for each cost flow assumption, using a perpetual inventory system. Assume a sale of 388 units occurred on June 15 for a selling price of $8 and a sale of 50 units on June 27 for $9. (Round answers to 0 decimal places, e.g. 125.)

FIFO

LIFO

Moving-Average

The cost of the ending inventory

$ $ $

The cost of goods sold

$ $ $

In: Accounting

A researcher is looking at the relationships between age and the number of instances of shoplifting....

A researcher is looking at the relationships between age and the number of instances of shoplifting. Use the data below to establish hypotheses and calculate the correlation for the relationship between age and shoplifting. State and explain your decision with regard to whether the H0 is ultimately rejected or accepted.

Age (X)

Number of Times Shoplifted (Y)

18

12

20

10

18

10

19

11

40

4

30

3

27

3

21

8

19

7

In: Statistics and Probability