According to the Blockbuster FY 2004 10K, what change in Blockbuster revenue, net income, liquidity, leverage, turnover, profitability, and/or market value measures are most descriptive Blockbuster’s performance for the period 2003 through 2004? How did the overall market change over that time frame? How has Netflix performed in this time frame? Select the single best available answer from those presented below. Group of answer choices

A) Experienced a massive loss of shareholders' equity; consumer spending for in-home movie viewing in the United States increased; revenues and subscribers have more than tripled.

B) Maintained a stable dividend; DVD sales increased; experienced their first Net income gains .

C)Experienced a massive loss of shareholders' equity; DVD sales increased; experienced Net income losses.

D) Maintained a stable dividend; consumer spending for in-home movie viewing in the United States increased; revenues and subscribers have more than tripled.

Data obtained from the National Center for Health Statistics show that men between the ages of 20 and 29 have a mean height of 69.3 inches, with a standard deviation of 2.9 inches. A baseball analyst wonders whether the standard deviation of heights of major-league baseball players is less than 2.9 inches. The heights (in inches) of 20 randomly selected players are given below.

Use Minitab Express to test the analyst's hypothesis at the α = 0.10 level of significance. Report your answers to three decimal places, where applicable.

With a P-value of , we  (reject / fail to reject) the null hypothesis.  
The given data  (does / does not) provide significant evidence that the standard deviation of heights of baseball players is  (more than / less than / different from) 2.9 inches.

6. Make revenue forecast for Pacific Shoes for 2020 based on historical data if the company generated the following revenues for the last five years. Calculate the forecast error, draw a graph with the actual and forecasted revenue by year, and show the forecast error on the graph.

Year.                      2015 2016 2017 2018 2019
Revenue (Million $) 23 27    27        32.     30

Listed below is the net sales in $ million for Home Depot Inc. and its subsidiaries from 1993 to 2015. Remember to code the years starting at 1 for year 1993. Year Net Sales 1993 $ 9,854 1994 12,629 1995 16,212 1996 19,085 1997 23,642 1998 31,934 1999 40,035 2000 46,621 2001 55,432 2002 58,246 2003 64,438 2004 73,664 2005 80,767 2006 89,476 2007 78,442 2008 73,135 2009 64,853 2010 67,223 2011 70,034 2012 75,408 2013 78,117 2014 82,730 2015 88,658 Click here for the Excel Data File Determine the least squares equation. On the basis of this information, what are the estimated sales for 2016 and 2017? (Round your final answers to 2 decimal places.)

US Census Bureau tracks the median price for new home sales by month of year. The mediane price for April for the years 2001 to 2011 follow.

Years

a.         Compute a 2-week moving average for the above time series.

b.         Compute the mean square error (MSE) and mean Absolute deviation (MAD) for the

     2- year moving average forecast.

c.         Use a = 0.2 to compute the exponential smoothing values and MSE and MAD for

     the time series.

d. Which model is the best.? Justify your answer

e. Forecast the price for Year 2012.

The following data set provides information on acres harvested and planted by year and value in the US. Year ASPARAGUS - ACRES HARVESTED ASPARAGUS - ACRES PLANTED 2015 21,700 23,500 2014 23,800 25,800 2013 24,500 26,800 2012 25,300 27,800 2011 26,800 28,400 2010 28,000 29,200 2009 29,200 30,700 2008 32,200 33,700 2007 38,600 40,900 2006 43,200 44,700 2005 49,300 51,700 2004 61,500 66,000 2003 58,000 62,000 2002 66,000 70,500 2001 70,150 75,150 2000 77,400 82,800 1999 75,890 79,590 1998 74,430 From the data set, use the planting data for the United States for recent years. Using a calculator or statistical software, find the equation for the linear regression line for 2010 to 2015. What is the y-intercept?

Determine if the data on petroleum imports provided in Assignment 1 follows a normal distribution.

Please show all steps using data set below and excel.

• By using a bivariate regression trend line model, forecast total houses sold for the next five years.
• Prepare a time series plot of these data (years are on the x axis, THS is on the y axis) that shows both actual and forecast THS for the next five years.

Total Houses Sold

Despite the growth in digital entertainment, the nation’s 400 amusement parks have managed to hold on to visitors. A manager collects data on the number of visitors (in millions) to amusement parks in the United States. A portion of the data is shown in the accompanying table.

SOURCE: International Association of Amusement Parks and Attractions.
Click here for the Excel Data File

a. Estimate the linear trend model to make forecasts for 2008. (Round your answers to 2 decimal places.)

yˆ =

b. Estimate the exponential trend model to make forecasts for 2008. (Round your answers to 2 decimal places.)

yˆ =

Consider the following realized annual returns:

1. 2005	-11.3%	52.7%
   2006	-20.8%	-22.0%
   2007	33.1%	6.9%
   2008	13.0%	9.2%
   2009	7.3%	-0.9%

2. Consider the following realized annual returns:
   
   
   
   
   
   
   
   
   

3. Q1 : Suppose that you want to use the 10 year historical average return on the Market to forecast the expected future return on the Market. Calculate the 95% confidence interval for your estimate of the expect return. Q2 : Using the data provided in the table, calculate the average annual return, the variance of the annual returns, and the standard deviation of the average returns for Stock B from 2000 to 2009.