STATISTICS F/BUSINESS+ECONOMICS-TEXT
STATISTICS F/BUSINESS+ECONOMICS-TEXT
13th Edition
ISBN: 9781305881884
Author: Anderson
Publisher: CENGAGE L
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Chapter 17, Problem 44SE

The data contained in the DATAfile named CrudeCost shows the U.S. refiner acquisition cost of crude oil in dollars per barrel (Energy Information Administration website, February 3. 2014).

  1. a. Construct a time series plot. What type of pattern exists in the data?
  2. b. Compute the linear trend equation for the time series. Use the linear trend equation to forecast the crude cost for January 2014.
  3. c. Compute the quadratic trend equation for the time series. Use the quadratic trend equation to forecast the crude cost for January 2014.
  4. d. Using MSE. which approach provides the most accuratre forecasts for the historical data?
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the data contained in the datafile named crudecost shows the U.S. refiner acquisition cost of crude oil in dollars per barrel (energy information administration website,February 3, 2014).a. construct a time series plot. What type of pattern exists in the data?
For the Texas Shipping Company, the monthly percentages of all shipments received on time over the past 12 months are 82, 86, 87, 89, 84, 85, 84, 86, 75, 95, 90, and 92. a. Construct a time series plot (you can include it in the work file question at the end, not here). Identify what type of pattern, if any, exists in the data? Compare the three-month moving average forecast with an exponential smoothing forecast for alpha= 0.25 and answer the following: b. MSE for 3-month moving average method c. MSE for exponential-smoothing method : d. Which method should be preferred? Answer "3-month MA" or "Exponential Smoothing": e. What is the forecast for next month using the preferred method?
The following table gives the average monthly exchange rate between the U.S. dollar and the euro for 2009. It shows that 1 euro was equivalent to 1.289 U.S. dollars in January 2009. Develop a trend line that could be used to predict the exchange rate for 2010. Use this model to predict the exchange rate for January 2010 and February 2010. MONTH ______________________ EXCHANGE RATE January ....................................... 1.289 February ...................................... 1.324 March ......................................... 1.321 April .......................................... 1.317 May ........................................... 1.280 June ........................................... 1.254 July ........................................... 1.230 August ....................................... 1.240 September ................................... 1.287 October ..................................... 1.298 November .................................. 1.283 December…

Chapter 17 Solutions

STATISTICS F/BUSINESS+ECONOMICS-TEXT

Ch. 17.3 - For the Hawkins Company, the monthly percentages...Ch. 17.3 - Corporate triple-A bond interest rates for 12...Ch. 17.3 - The values of Alabama building contracts (in ...Ch. 17.3 - The following time series shows the sales of a...Ch. 17.3 - Ten weeks of data on the Commodity Futures Index...Ch. 17.3 - The U.S. Census Bureau tracks the median price for...Ch. 17.4 - Consider the following time series data. a....Ch. 17.4 - Prob. 18ECh. 17.4 - Consider the following time series. a. Construct a...Ch. 17.4 - Prob. 20ECh. 17.4 - Prob. 21ECh. 17.4 - The Seneca Childrens Fund (SCF) is a local charity...Ch. 17.4 - The following table shows Googles annual revenue...Ch. 17.4 - FRED (Federal Reserve Economic Data), a database...Ch. 17.4 - Quarterly revenue ( millions) for Twitter for the...Ch. 17.4 - Giovanni Food Products produces and sells frozen...Ch. 17.4 - Prob. 27ECh. 17.5 - Consider the following time series. a. Construct a...Ch. 17.5 - Consider the following time series data. a....Ch. 17.5 - The quarterly sales data (number of copies sold)...Ch. 17.5 - Air pollution control specialists in southern...Ch. 17.5 - South Shore Construction builds permanent docks...Ch. 17.5 - Prob. 33ECh. 17.5 - Three years of monthly lawn-maintenance expenses...Ch. 17.6 - Consider the following time series data. a....Ch. 17.6 - Refer to exercise 35. a. Deseasonalize the time...Ch. 17.6 - The quarterly sales data (number of copies sold)...Ch. 17.6 - Three years of monthly lawn-maintenance expenses...Ch. 17.6 - Air pollution control specialists in southern...Ch. 17.6 - Electric power consumption is measured in...Ch. 17 - The weekly demand (in cases) for a particular...Ch. 17 - The following table reports the percentage of...Ch. 17 - United Dairies. Inc., supplies milk to several...Ch. 17 - The data contained in the DATAfile named CrudeCost...Ch. 17 - Annual retail store revenue for Apple from 2007 to...Ch. 17 - The Mayfair Department Store in Davenport, Iowa,...Ch. 17 - Prob. 47SECh. 17 - The Costello Music Company has been in business...Ch. 17 - Consider the Costello Music Company problem in...Ch. 17 - Refer to the Costello Music Company problem in...Ch. 17 - Refer to the Costello Music Company time series in...Ch. 17 - Hudson Marine has been an authorized dealer for CD...Ch. 17 - Refer to the Hudson Marine problem in exercise 52....Ch. 17 - Refer to the Hudson Marine problem in exercise 53....Ch. 17 - Refer to the Hudson Marine data in exercise 53. a....Ch. 17 - Forecasting Food and Beverage Sales The Vintage...Ch. 17 - Forecasting Lost Sales The Carlson Department...
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