The accompanying dataset provides data on monthly unemployment rates for a certain region over four years. Compare 3- and 12-month moving average forecasts using the MAD criterion. Which of the two models yields better results? Explain. Click the icon to view the unemployment rate data. Find the MAD for the 3-month moving average forecast. MAD= (Type an integer or decimal rounded to three decimal places as needed.) Find the MAD for the 12-month moving average forecast. MAD = (Type an integer or decimal rounded to three decimal places as needed.) Which of the two models yields better results? Explain. A. The 12-month moving average forecast yields better results because its MAD is greater than that of the 3-month moving average forecast. The 12-month model is more sensitive to longer term trends. B. The 3-month moving average forecast yields better results because its MAD is smaller than that of the 12-month moving average forecast. The 3-month model is less sensitive to longer term trends. C. The 12-month moving average forecast yields better results because its MAD is smaller than that of the 3-month moving average forecast. The 12-month model is less sensitive to longer term trends. D. The 3-month moving average forecast yields better results because its MAD is greater than that of the 12-month moving average forecast. The 3-month model is more sensitive to longer term trends. E. The quality of the results is about the same between the two models because the MAD of the 3-month forecast is equal to the MAD of the 12-month forecast. Year Month Rate (%) 2011 Jan 7.8 2011 Feb 8.1 2011 Mar 8.9 2011 Apr 9.1 16 2011 May 9.6 2011 Jun 9.4 2011 Jul 9.7 2011 Aug 9.8 2011 Sep 9.9 2011 Oct 10.1 2011 Nov 9.9 2011 Dec 9.8 2012 Jan 9.7 2012 Feb 9.8 2012 Mar 9.9 2012 Apr 9.8 2012 May 9.8 2012 Jun 9.5 2012 Jul 9.4 2012 Aug 9.4 2012 Sep 9.6 2012 Oct 9.5 65 2012 Nov 9.8 2012 Dec 9.1 2013 Jan 9.3 2013 Feb 8.9 2013 Mar 8.9 2013 Apr 9.2 2013 May 9.1 2013 Jun 9.2 12 2013 Jul 8.8 2013 Aug 8.9 2013 Sep 8.9 aa 2013 Oct 8.8 2013 Nov 2013 Dec 2014 Jan 2014 Feb 00 00 00 00 2014 Mar 2014 Apr 2014 May 2014 Jun 2014 Jul 2014 Aug co co co co co 8.5 8.6 8.3 8.4 8.3 8.1 8.3 8.2 8.2 8.2 2014 Sep 7.8 2014 Oct 7.9 2014 Nov 7.8 2014 Dec 7.8