Questions
The following table provides the Dow Jones Industrial Average (DJIA) opening index value on the first...

The following table provides the Dow Jones Industrial Average (DJIA) opening index value on the first working day of 1991–2010:

YEAR DJIA YEAR 2 DJIA

2010 10,431 2000 11,502

2009 8,772 1999 9,213

2008 13,262 1998 7,908

2007 12,460 1997 6,448

2006 10,718 1996 5,117

2005 10,784 1995 3,834

2004 10,453 1994 3,754

2003 8,342 1993 3,301

2002 10,022 1992 3,169

2001 10,791 1991 2,634

• Develop a trend line and use it to predict the opening DJIA index value for years 2011, 2012, and 2013. Find the MSE for this model.

In: Statistics and Probability

In August 2005, Hurricane Katrina damaged or destroyed oil platforms in the Gulf of Mexico, refineries...

In August 2005, Hurricane Katrina damaged or destroyed oil platforms in the Gulf of Mexico, refineries along the Gulf coast, and the pipeline infrastructure that transports oil and gas to customers across the eastern United States. The winter of 2006 was unusually cold in many parts of the country. How did these events affect the market for natural gas?

Describe or show the impact on Supply, Demand, Price, and Quantities of the impacted markets.

In: Economics

For the publicly traded U.S. company Apple (AAPL), explain how things such as tax rates, unemployment,...

For the publicly traded U.S. company Apple (AAPL), explain how things such as tax rates, unemployment, and government fiscal policies have affected the company's economic decisions.

In: Economics

Part 4A:(In 200 words) Using an American publicly traded company as an example describe what the...

Part 4A:(In 200 words) Using an American publicly traded company as an example describe what the graph would look like for the Straight-line depreciation method. Explain why the graph would visually represent the Straight-line depreciation method.

Part 4B:(In 200 words) (Using an American publicly traded company as an example) Using the straight-line method for amortizing a discount or premium, provide an example of the entry to issue a bond at par and the entry for the first 6 month interest payment. For each 6 month interest payment, explain why the interest expense amount is different (or the same) from the interest payment amount

In: Accounting

For the publicly traded U.S. company Apple (AAPL), recommend strategies (based in macroeconomic principles, theories, models,...

For the publicly traded U.S. company Apple (AAPL), recommend strategies (based in macroeconomic principles, theories, models, and tools) the company could adopt to successfully maximize long-term profits. Include a long-term outlook for the company.

In: Economics

The issues surrounding the levels and structure of executive compensation have gained added prominence in the...

The issues surrounding the levels and structure of executive compensation have gained added prominence in the wake of the financial crisis that erupted in the fall of 2008. Based on the 2006 compensation data obtained from the Securities and Exchange Commission (SEC) website, it was determined that the mean and the standard error of compensation for the 418 highest paid CEOs in publicly traded U.S. companies are $8.63 million and $8.18 million, respectively. An analyst randomly chooses 38 CEO compensations for 2006. [You may find it useful to reference the z table.]

Calculate the expected value and the standard error of the sample mean. (Round "expected value" to 2 decimal places and "standard error" to 4 decimal places.)

d. What is the probability that the sample mean is more than $10 million? (Round "z" value to 2 decimal places, and final answer to 4 decimal places.)

In: Statistics and Probability

The annual revenues collected in each of the past ten years for the Orange County Solid...

The annual revenues collected in each of the past ten years for the Orange County Solid Waste Division are provided below. If the revenue total for 2014 is $42,843,901, which revenue projection method (SMA, TMA, or regression) is the most accurate in this case? Use APE to justify your answer. Use the last three years of revenues for moving averages and all years for regression

Year

Revenue

2005

33,120,989

2006

36,979,392

2007

36,390,302

2008

35,678,632

2009

37,986,901

2010

39,697,702

2011

37,639,287

2012

39,479,675

2013

40,099,709

In: Statistics and Probability

based on Netflix

The questions in this exercise are based on Netflix, Inc. To answer the questions you will need to download Netilix’s Form 10-K for the year ended December 31, 2005 at www.sec.gov/edgar!searchedgar/companysearch.html. Once at this website, input CIK code 1065280 and hit enter. In the gray box on the right-hand side of your computer screen define the scope of your search by inputting 10-K and then pressing enter. Select the 10-K with a filing date of March 16, 2006. You do not need to print this document to answer the questions.

 

Required:

  1. What is Netilix’s strategy for success in the marketplace? Does the company rely primarily on a customer intimacy, operational excellence, or product leadership customer value proposition? What evidence supports your conclusion?
  2. What business risks does Netflix face that may threaten the company’s ability to satisfy stockholder expectations? Of the risks that you have identified, which ones are controllable and which ones are largely uncontrollable?
  3. Prepare a comparative balance sheet similar to the one shown in Exhibit 15—4 (Use Netilix’s data from 2004 and 2005). For each account shown on Netilix’s balance sheet, calculate the change in the balance and whether the change represents a source or a use of cash.
  4. Explain how each change shown in your comparative balance sheet is accounted for in Netflix’s 2005 statement of cash flows.

In: Accounting

In October of fiscal year 2005, Lowe’s also issued $500 million of unsecured notes with a...

In October of fiscal year 2005, Lowe’s also issued $500 million of unsecured notes with a coupon rate of 5.5% and maturing in October 2035. How much did Lowe’s receive in cash from this issuance? Assume the market rate of interest is 5.61%. In April 2006, what will be the amount of Lowe’s cash payment to the investors who hold these notes? What will be Lowe’s interest expense from October 2005 to April 2006 for these notes? In April 2006, what will be the carrying value of these notes?

In: Accounting

Date. Recepits. paid. shows. Avg attendance. ticket pric 5/1/2007 18.6859 259.181 36 72.10 6/1/2007 20.4195 281.296...




Date. Recepits. paid. shows. Avg
attendance. ticket pric
5/1/2007 18.6859 259.181 36 72.10
6/1/2007 20.4195 281.296 36 72.59
6/1/2007 20.0656 271.121 34 74.01
6/1/2007 20.4281 272.258 33 75.03
6/1/2007 19.6621 263.937 31 73.50
7/1/2007 18.5471 252.339 29 74.50
7/1/2007 18.4206 236.118 27 78.01
7/1/2007 18.6971 235.814 27 79.29
7/1/2007 19.8380 248.756 28 79.75
8/1/2007 18.4166 228.483 25 80.60
8/1/2007 18.2825 226.567 25 80.69
8/1/2007 17.8652 224.740 25 79.49
8/1/2007 16.1950 202.309 22 80.05
9/1/2007 16.3232 200.450 21 81.43
9/1/2007 12.4829 158.183 21 78.91
9/1/2007 13.2313 174.971 23 75.62
9/1/2007 13.9584 183.636 24 76.01
10/1/2007 14.3296 187.818 24 76.20
10/1/2007 16.0449 204.293 25 78.54
10/1/2007 16.1729 210.571 27 76.80
10/1/2007 17.3821 226.011 29 76.91
11/1/2007 16.9973 236.084 34 72.00
12/1/2007 14.6261 185.169 34 78.99
12/1/2007 19.7096 254.081 34 77.57
12/1/2007 19.0420 246.524 35 77.24
1/1/2008 21.0999 258.330 34 81.68
1/1/2008 20.7393 263.764 35 78.77
1/1/2008 15.4748 215.110 31 71.94
2/1/2008 16.2711 218.639 31 74.42
2/1/2008 14.4511 200.948 31 71.91
5/1/2006 18.4072 248.614 32 74.04
6/1/2006 18.1152 243.009 30 74.55
6/1/2006 19.5138 255.470 30 76.38
6/1/2006 18.6410 249.640 29 74.67
6/1/2006 17.5541 233.734 27 75.05
7/1/2006 16.1619 213.849 26 75.10
7/1/2006 17.0159 221.610 25 76.78
7/1/2006 16.6649 215.746 24 77.24
7/1/2006 16.5649 215.374 24 77.27
8/1/2006 16.2365 209.932 24 77.34
8/1/2006 16.3029 210.385 24 77.49
8/1/2006 15.5021 199.733 23 77.61
8/1/2006 15.4114 199.256 23 77.34
9/1/2006 16.3163 209.388 23 77.92
9/1/2006 12.1098 154.716 20 78.27
9/1/2006 13.1531 171.017 20 76.91
9/1/2006 13.9269 179.533 23 77.57
10/1/2006 15.9728 198.224 25 80.58
10/1/2006 16.4737 211.902 26 77.74
10/1/2006 17.1688 224.206 27 76.58
11/1/2006 17.3730 236.193 31 73.55
11/1/2006 19.2291 259.970 32 73.97
11/1/2006 18.6967 244.124 32 76.59
12/1/2006 23.4222 269.141 33 87.03
12/1/2006 19.8776 251.616 32 79.00
12/1/2006 21.2187 271.693 32 78.10
12/1/2006 20.3516 258.335 32 78.78
1/1/2006 20.4976 245.845 30 83.38
1/1/2007 19.5098 254.128 32 76.66
1/1/2007 17.3417 231.899 28 74.78
2/1/2007 14.7775 198.277 27 74.53
2/1/2007 14.4905 194.268 27 74.59
2/1/2007 13.8928 196.232 27 70.80
2/1/2007 14.4957 199.566 28 72.64
3/1/2007 17.2296 221.171 27 77.90
3/1/2007 18.2944 249.955 29 73.19
3/1/2007 15.3800 214.013 30 71.86
3/1/2007 17.7409 247.434 31 71.70
4/1/2007 19.5766 250.425 29 78.17
4/1/2007 18.3463 233.061 30 78.72
4/1/2007 19.5848 252.013 32 77.71
4/1/2007 19.4535 256.198 33 75.93
5/1/2007 21.7175 272.738 34 79.63
5/1/2007 22.8968 299.117 38 76.55
5/1/2007 20.6534 278.326 38 74.20
5/1/2007 20.0948 266.067 37 75.52
6/1/2007 20.8585 272.599 37 76.52
6/1/2007 22.1877 283.315 36 78.87



Ticket Prices :On a typical night in New York City, about 25,000 people attend a Broadway show, paying an average price of more than $75 per ticket. Data for most weeks of 2006-2008 consider the variables Paid Attendance (thousands), # shows, Average Ticket Price ($) to predict Receipts($million).

A. Construct a 95% CI estimate of the mean receipts when attendance was 200,000 customers attending 30 shows at an average ticket price of $70.

B. Construct a 95% Prediction interval of receipts, when attendance was 200,000 customers attending 30 shows at an average ticket price of $70.

C. Explain the difference in the results in parts i) and j)

In: Statistics and Probability