After its move in 1990 to La Junta, Colorado, and its new initiatives, the DeBourgh Manufacturing Company began an upward climb of record sales. Suppose the figures shown here are the DeBourgh monthly sales figures from January 2001 through December 2009 (in $1,000s). a) Produce a time series plot. Are there any trends evident in the data? Does DeBourgh have a seasonal component to its sales? b) Deseasonalize the data using Multiplicative model with a 0.5 weighted moving average. Produce a time series plot of the deseasonalized data and add a trendline. c) Forecast the sales from January to December of the year 2010. d) Include a discussion of the general direction of sales and any seasonal tendencies that might be occurrinG Month 2001 2002 2003 2004 2005 2006 2007 2008 2009 January 139.7 165.1 177.8 228.6 266.7 431.8 381 431.8 495.3 February 114.3 177.8 203.2 254 317.5 457.2 406.4 444.5 533.4 March 101.6 177.8 228.6 266.7 368.3 457.2 431.8 495.3 635 April 152.4 203.2 279.4 342.9 431.8 482.6 457.2 533.4 673.1 May 215.9 241.3 317.5 355.6 457.2 533.4 495.3 558.8 749.3 June 228.6 279.4 330.2 406.4 571.5 622.3 584.2 647.7 812.8 July 215.9 292.1 368.3 444.5 546.1 660.4 609.6 673.1 800.1 August 190.5 317.5 355.6 431.8 482.6 520.7 558.8 660.4 736.6 September 177.8 203.2 241.3 330.2 431.8 508 508 609.6 685.8 October 139.7 177.8 215.9 330.2 406.4 482.6 495.3 584.2 635 November 139.7 165.1 215.9 304.8 393.7 457.2 444.5 520.7 622.3 December 152.4 177.8 203.2 292.1 406.4 431.8 419.1 482.6 622.3

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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After its move in 1990 to La Junta, Colorado, and its new initiatives, the DeBourgh Manufacturing Company began an upward climb of record sales. Suppose the figures shown here are the DeBourgh monthly sales figures from January 2001 through December 2009 (in $1,000s).

  1. a) Produce a time series plot. Are there any trends evident in the data? Does DeBourgh have a seasonal component to its sales?
  2. b) Deseasonalize the data using Multiplicative model with a 0.5 weighted moving average. Produce a time series plot of the deseasonalized data and add a trendline.
  3. c) Forecast the sales from January to December of the year 2010.
  4. d) Include a discussion of the general direction of sales and any seasonal tendencies that might be occurrinG
Month 2001 2002 2003 2004 2005 2006 2007 2008 2009
January 139.7 165.1 177.8 228.6 266.7 431.8 381 431.8 495.3
February 114.3 177.8 203.2 254 317.5 457.2 406.4 444.5 533.4
March 101.6 177.8 228.6 266.7 368.3 457.2 431.8 495.3 635
April 152.4 203.2 279.4 342.9 431.8 482.6 457.2 533.4 673.1
May 215.9 241.3 317.5 355.6 457.2 533.4 495.3 558.8 749.3
June 228.6 279.4 330.2 406.4 571.5 622.3 584.2 647.7 812.8
July 215.9 292.1 368.3 444.5 546.1 660.4 609.6 673.1 800.1
August 190.5 317.5 355.6 431.8 482.6 520.7 558.8 660.4 736.6
September 177.8 203.2 241.3 330.2 431.8 508 508 609.6 685.8
October 139.7 177.8 215.9 330.2 406.4 482.6 495.3 584.2 635
November 139.7 165.1 215.9 304.8 393.7 457.2 444.5 520.7 622.3
December 152.4 177.8 203.2 292.1 406.4 431.8 419.1 482.6 622.3
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