Questions
Prepare the Closing Entries necessary to close out the Statement of Activities NOTE: Each general ledger...

Prepare the Closing Entries necessary to close out the Statement of Activities

NOTE: Each general ledger account from the Statement of Activities gets closed out to one of two accounts: Either a) Net Assets With Donor Restrictions OR b) Net Assets WITHOUT Donor Restrictions.

These are both balance sheet accounts.

Transaction 1: The DONOR gives you $2,000 cash to use for scholarships

Transaction 2: The DONOR given you $1,000 and you can use it for any programs

Transaction 3: The NFP pays out $2,000 for scholarship expenses

Journal Entry:                                                                          DEBITS     CREDITS

Cash                                                                                           $2,000

     Contribution (Restricted by Donor)                                                 $2,000        (needs to be closed)

Cash                                                                                           $1,000

     Contribution (Not Restricted)                                                            $1,000        (needs to be closed)

Net Assets Released-Donor Restriction                              $2,000                          (needs to be closed)

     Net Assets Released-Without Donor Restriction                             $2,000      (needs to be closed)

Expenses-Scholarships                                                             $2,000                          (needs to be closed)

     Cash                                                                                                         $2,000

Statement of Activities (dollars are in CREDITS)

For the Year Ended 2019                                               CONTRIBUTIONS          CONTRIBUTIONS

                                                                                    Unrestricted                 Restricted By Donor

Contributions (not restricted)                                                         $1,000

Contributions (restricted)                                                                                        $2,000

Net Assets Released-Donor Restrictions                                                                        ($2,000)

Net Assets Released-Without Donor Restrictions               $2,000

Expenses                                                                                       ($2,000)

CHANGE IN ACTIVITIES FOR THE YEAR:                                   $1,000                             -0-                $1,000 total

Balance Sheet As of December 31, 2019

Cash $1,000

         Net Assets without Donor Unrestricted         $1,000

In: Accounting

PepsiCo Revenues ($ millions), 2005–2010 Quarter 2005 2006 2007 2008 2009 2010 Qtr1 6,585    7,205   ...

PepsiCo Revenues ($ millions), 2005–2010
Quarter 2005 2006 2007 2008 2009 2010
Qtr1 6,585    7,205    7,350    8,332 8,263   9,368
Qtr2 7,697    8,599    9,607    10,945 10,592   14,801
Qtr3 8,184    8,950    10,171    11,244   11,080   15,514
Qtr4 10,096    10,383    12,346    12,729   13,297  

18,155

(b) State the model found when performing a regression using seasonal binaries. (A negative value should be indicated by a minus sign. Round your answers to 4 decimal places.

yt =___ + _____t +_____ Q1 +_____ Q2 +______ Q3

In: Statistics and Probability

PepsiCo Revenues ($ millions), 2005–2010 Quarter 2005 2006 2007 2008 2009 2010 Qtr1 6,585    7,205   ...

PepsiCo Revenues ($ millions), 2005–2010
Quarter 2005 2006 2007 2008 2009 2010
Qtr1 6,585    7,205    7,350    8,333 8,263   9,368
Qtr2 7,697    8,599    9,607    10,945 10,592   14,801
Qtr3 8,184    8,950    10,171    11,244   11,080   15,514
Qtr4 10,096    10,383    12,346    12,729   13,297  

18,155

(b) State the model found when performing a regression using seasonal binaries. (A negative value should be indicated by a minus sign. Round your answers to 4 decimal places.

yt =___ + _____t +_____ Q1 +_____ Q2 +______ Q3

In: Statistics and Probability

A. Explain which model in the “Data and Graphs” attachment is most accurate, based only on...

A. Explain which model in the “Data and Graphs” attachment is most accurate, based only on their graphical qualities and R² values, which can both be found in the “Data and Graphs” attachment.

Note: R² is the square of the correlation coefficient between the data and the model.

B. Given that the actual U.S. Population in 2010 was 308.75 million, explain which of the following models is most accurate, including computations of the relative errors, based only on the following U.S. population predictions in millions by each model for the year 2010:

• linear: 242.89

• exponential: 515.34

• quadratic: 304.36

• third-degree polynomial: 308.22

• fourth-degree polynomial: 311.96

A. Explain which model in the “Data and Graphs” attachment is most accurate, based only on their graphical qualities and R² values, which can both be found in the “Data and Graphs” attachment.

Note: R² is the square of the correlation coefficient between the data and the model.

B. Given that the actual U.S. Population in 2010 was 308.75 million, explain which of the following models is most accurate, including computations of the relative errors, based only on the following U.S. population predictions in millions by each model for the year 2010:

• linear: 242.89

• exponential: 515.34

• quadratic: 304.36

• third-degree polynomial: 308.22

• fourth-degree polynomial: 311.96

A. Explain which model in the “Data and Graphs” attachment is most accurate, based only on their graphical qualities and R² values, which can both be found in the “Data and Graphs” attachment.

Note: R² is the square of the correlation coefficient between the data and the model.

B. Given that the actual U.S. Population in 2010 was 308.75 million, explain which of the following models is most accurate, including computations of the relative errors, based only on the following U.S. population predictions in millions by each model for the year 2010:

• linear: 242.89

• exponential: 515.34

• quadratic: 304.36

• third-degree polynomial: 308.22

• fourth-degree polynomial: 311.96

A. Explain which model in the “Data and Graphs” attachment is most accurate, based only on their graphical qualities and R² values, which can both be found in the “Data and Graphs” attachment.

Note: R² is the square of the correlation coefficient between the data and the model.

B. Given that the actual U.S. Population in 2010 was 308.75 million, explain which of the following models is most accurate, including computations of the relative errors, based only on the following U.S. population predictions in millions by each model for the year 2010:

• linear: 242.89

• exponential: 515.34

• quadratic: 304.36

• third-degree polynomial: 308.22

• fourth-degree polynomial: 311.96

A. Explain which model in the “Data and Graphs” attachment is most accurate, based only on their graphical qualities and R² values, which can both be found in the “Data and Graphs” attachment.

Note: R² is the square of the correlation coefficient between the data and the model.

B. Given that the actual U.S. Population in 2010 was 308.75 million, explain which of the following models is most accurate, including computations of the relative errors, based only on the following U.S. population predictions in millions by each model for the year 2010:

• linear: 242.89

• exponential: 515.34

• quadratic: 304.36

• third-degree polynomial: 308.22

• fourth-degree polynomial: 311.96

A. Explain which model in the “Data and Graphs” attachment is most accurate, based only on their graphical qualities and R² values, which can both be found in the “Data and Graphs” attachment.

Note: R² is the square of the correlation coefficient between the data and the model.

B. Given that the actual U.S. Population in 2010 was 308.75 million, explain which of the following models is most accurate, including computations of the relative errors, based only on the following U.S. population predictions in millions by each model for the year 2010:

• linear: 242.89

• exponential: 515.34

• quadratic: 304.36

• third-degree polynomial: 308.22

• fourth-degree polynomial: 311.96

A. Explain which model in the “Data and Graphs” attachment is most accurate, based only on their graphical qualities and R² values, which can both be found in the “Data and Graphs” attachment.

Note: R² is the square of the correlation coefficient between the data and the model.

B. Given that the actual U.S. Population in 2010 was 308.75 million, explain which of the following models is most accurate, including computations of the relative errors, based only on the following U.S. population predictions in millions by each model for the year 2010:

• linear: 242.89

• exponential: 515.34

• quadratic: 304.36

• third-degree polynomial: 308.22

• fourth-degree polynomial: 311.96

In: Statistics and Probability

In August 2019, Judge Marshall purchased a 2020 Bentley Mulsanne for $320,000. In order to purchase...

  1. In August 2019, Judge Marshall purchased a 2020 Bentley Mulsanne for $320,000. In order to purchase the Bentley, the Judge made a 25% down payment and signed a note to finance the balance of the purchase price over 4 years at a 5% rate of interest. According to his mileage log, the business usage for the Bentley in 2019 was 80%. All of his business usage related to his bar review course sole proprietorship. What is the amount of depreciation, if any, the Judge can claim on his Bentley in 2019? (explain the proper tax treatment and cite tax law authorities). (Assume U.S tax code)

In: Accounting

4. The United Nations' Human Settlements Program forecast that by the year 2020 what percent of...

4.

The United Nations' Human Settlements Program forecast that by the year 2020 what percent of the world's population would live in poverty?

25 percent.

35 percent.

45 percent.

55 percent.

7.

The Federal Trade Commission advocates which of the following for business security?

Take stock.

Scale down.

Pitch it.

All of the above.

8.

In 2009 the U.S. government announced plans to spend how much to spur the use of digital or electronic patient records, as part of a national effort to reduce medical costs?

19 million.

19 billion.

119 billion.

None of the above.

In: Operations Management

A rectangular channel carries a flow at a velocity of 2.1 m/sec and at a depth...

A rectangular channel carries a flow at a velocity of 2.1 m/sec and at a depth of 2.1m. The tail end gate of the channel is suddenly closed. Find the height and speed of the surge. What would be the values of these quantities if the gate is partially closed to release half of the flow?

In: Civil Engineering

Read the article “Eyewear Makers Take a Fresh Look at Smart Glasses”. Why did Google Glass...

Read the article “Eyewear Makers Take a Fresh Look at Smart Glasses”.

Why did Google Glass fail?

Develop an STP strategy for Essilor-Luxottica smart glasses. In particular, how would you segment the market and among those segments which segment/s would you target?

Develop a 4P plan for Essilor-Luxottica smart glasses. In particular, given the segments you chose above, what branding strategy and what pricing approaches would you use for the smart glasses, how would you distribute the product, and what kind of sales promotion and/or advertising would you run?

NOTE:

Your answers are NOT graded based on what Essilor-Luxottica does in reality, but rather your own ideas and rational. In particular, your answers will be graded based on 4 criteria: (1) application of class materials (defend your rational with what we discussed in class instead of your own intuition), (2) logic (you need provide some explanations), (3) consistency (marketing actions need to be consistent with marketing goals and the elements of 4P need to be consistent with each other), and (4) be specific about what your recommendations are; don’t just say I need to increase demand without mentioning how.

The article: "Eyewear Makers Take a Fresh Look at Smart Glasses”.

MILAN—Several years after the failure of Google’s smart glasses, eyewear makers and tech companies—encouraged by the arrival of a giant new player in the eyewear sector—are taking another crack at a product they hope can compete in the market for wearable technology.

The recent€50 billion ($53 billion) Italian-French merger between eyewear manufacturers Luxottica LUX -0.49% SpA and Essilor International SA ESLOY -0.67% could revive a market that, according to bullish estimates, could approach 55 million units by 2022. But while eyewear groups enjoy an edge when it comes to style and distribution heft, they may struggle to succeed where even the biggest tech giants have so far stumbled.

The 2012 launch of Google Glass was largely a flop, sunk by concerns over privacy, competition from other wearable devices and poor aesthetics that left wearers looking like cyborgs. Today, Google sells the product mostly for business use and has put aside the idea of pitching it to a mass audience for now.

After Google, tech companies ranging from startups to the likes of Microsoft Corp. and

Seiko Epson Corp. have all tried new versions of connected eyewear. But none of them has stood out as a major commercial success, in many cases because the monitor on the lenses are too intrusive. Their functions are too similar to smartphones or the designs too nerdy, analysts say. Privacy concerns—such as the problem of using the glasses to take videos without the subjects’ knowledge—were also a deterrent.

Instead, some tech companies are concentrating on a narrower audience. U.S.-based Vuzix Corp. , a smart-glasses specialist, has eyewear aimed at business use, such as allowing remote technical support or training, while Sony Corp. is providing technology for developers who

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want to make apps that can be installed in smart glasses. Snapchat parent company Snap Inc. recently launched glasses that allow wearers to take photos and videos.

“Phase one...has unquestionably been a flop” in creating a mass market for smartglasses, said Steven Waltzer, analyst at Strategy Analytics.

Meanwhile, the eyewear industry—under pressure to feed younger customers’ desire for new technology—is instead pressing to find products that could help carve out a mass market that has eluded smart glasses so far.

Eyewear maker Safilo SpA turned down an offer in 2014 from Google to make wired frames because “Google’s philosophy was to bring all the functions of a smartphone into the eyeglasses,” said Nicola Belli, head of innovation at the Italian company. When his team tested Google’s prototypes, “the feeling was of too much information,” he recalled. Google didn’t respond to requests for comment on the project.

Instead, Safilo is now working on its own smart glasses that it claims can read brain waves

and help wearers concentrate, with an app that guides the person through exercises aimed at regaining focus. Other eyewear makers are working on overcoming basic problems such as making the technology smaller, the battery last longer and the display inside the glasses easier to see in daylight.

By combining their strengths, the new Essilor-Luxottica group is aiming high, seeking to put together “our researchers, our frame designers, all our strengths,” Essilor Chairman Hubert Sagnie?res said soon after the deal was announced.

Essilor, a major lens manufacturer, is making lenses that recognize faces and everyday objects. In turn, Luxottica, which brings expertise in manufacturing frames and had joined with Google on Google Glass, is working on lighter materials, such as graphene, that can hold the technology needed for smart glasses without weighing them down.

The Italian company, which makes stylish glasses for the likes of Chanel, Giorgio Armani and Prada, can also make a sleeker design—thus addressing a major deterrent to the early models of smart glasses.

“Smart glasses must first be functional, desirable, wearable,” said Federico Buffa, R&D director for Luxottica. “Then it can offer useful (smart glasses) functions.”

Luxottica already has launched a smart-glasses model under its sports brand Oakley, with technology from Intel Corp. , that it hopes can compete with other sports wearables.

For instance, the technology in the frame helps monitor a wearer’s heart rate, track routes, give feedback on performance and provide customized training programs. To resolve the issue of images popping out on the lenses, a voice drives the wearer through the information needed. Luxottica’s enormous distribution heft—it owns Sunglass Hut and LensCrafters—could also help bring smart glasses into the mainstream, analysts said.

In: Operations Management

XYZ Ltd operate two production lines. One was installed in April 2018 at a cost of €200,000. The other was installed in February 2020 at a cost of €340,000.

XYZ Ltd operate two production lines. One was installed in April 2018 at a cost of €200,000. The other was installed in February 2020 at a cost of €340,000. They charge depreciation using the straight-line method at a rate of 15% pa for an estimated useful economic life of 5 years, charging a full year in the year of acquisition.

As at the year ended 31 Dec 2021, the production manager has filed a report noting that although the line continues to work effectively, the machinery involved has been superseded by latest generation technology, and as such the residual value is now expected to be 5% of original cost. The CFO wants to consider including this change in the accounts for the year ending 31 Dec 2021.

a) Calculate the annual depreciation rate had the residual value of 5% been used from the point of acquisition? (1 mark)

b) What was the Net Book Value of the production lines as at 31 Dec 2020? (3 marks)

c) What would be the Net Book Value of the production lines as at 31 Dec 2021 if rebasing the depreciation to the rate computed in part a)? (2 marks)

d) What should be the depreciation charge for the year ended 31 Dec 2021 if including the changes? (2 marks)

In: Computer Science

Sully Company’s January 1, 2020 balance sheet is as follows: Assets Liabilities & Equity Cash, receivables...

Sully Company’s January 1, 2020 balance sheet is as follows:

Assets Liabilities & Equity

Cash, receivables $ 3,000,000 Current liabilities $ 2,000,000

Inventories 4,000,000 Long-term liabilities 6,500,000

Equity method investments 1,000,000 Capital stock 2,000,000

Land, buildings & equipment 5,500,000 Retained earnings 3,500,000

Accumulated other comprehensive loss (400,000)

_________ Treasury stock (100,000)

Total assets $13,500,000 Total liabilities & equity $13,500,000

On January 1, 2020, Pronto Corporation acquired Sully’s assets and liabilities for $50 million in cash. Sully’s cash and receivables, and current liabilities were reported at values approximating fair value. However, its inventories were overvalued by $2,000,000, and its equity method investments were undervalued by $3,000,000. Its land, buildings & equipment were overvalued by $2,500,000, and its long-term liabilities were undervalued by $500,000. The accountants identified the following possible intangible assets attributed to Sully but not currently recorded on its balance sheet:

Fair Value

Skilled workforce $7,000,000

Favorable leases 5,000,000

Developed technology 2,000,000

Prospective customer contracts 1,500,000

Synergies on future projects 3,000,000

Required

Prepare Prance’s journal entry to record the acquisition.

In: Accounting