bus644 week 3 discussion
Question # 00004203
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Updated on: 11/27/2013 05:06 PM Due on: 11/30/2013
bus644 week 3 discussion
Forecasting Methods
1. Read Problem 6 in Chapter 6 of your textbook. Calculate and answer parts a through d. Include all calculations and spreadsheets in your post. Explain why the moving average method was used instead of another forecasting method. What might be another forecasting method that could prove to be just as useful?
2. The figures below indicate the number of mergers that took place in the savings and loan industry over a 12-year period.
Year Mergers Year Mergers
2000 46 2006 83
2001 46 2007 123
2002 62 2008 97
2003 45 2009 186
2004 64 2010 225
2005 61 2011 240
a. Calculate a 5-year moving average to forecast the number of mergers for 2012.
b. Use the moving average technique to determine the forecast for 2005 to 2011. Calculate measurement error using MSE and MAD.
c. Calculate a 5-year weighted moving average to forecast the number of mergers for 2012. Use weights of 0.10, 0.15, 0.20, 0.25, and 0.30, with the most recent year weighted being the largest.
d. Use regression analysis to forecast the number of mergers in 2012.
Forecasting Methods
1. Read Problem 6 in Chapter 6 of your textbook. Calculate and answer parts a through d. Include all calculations and spreadsheets in your post. Explain why the moving average method was used instead of another forecasting method. What might be another forecasting method that could prove to be just as useful?
2. The figures below indicate the number of mergers that took place in the savings and loan industry over a 12-year period.
Year Mergers Year Mergers
2000 46 2006 83
2001 46 2007 123
2002 62 2008 97
2003 45 2009 186
2004 64 2010 225
2005 61 2011 240
a. Calculate a 5-year moving average to forecast the number of mergers for 2012.
b. Use the moving average technique to determine the forecast for 2005 to 2011. Calculate measurement error using MSE and MAD.
c. Calculate a 5-year weighted moving average to forecast the number of mergers for 2012. Use weights of 0.10, 0.15, 0.20, 0.25, and 0.30, with the most recent year weighted being the largest.
d. Use regression analysis to forecast the number of mergers in 2012.
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