Year 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
Exports (thousands 60 kg bag) 10178 10853 10936 11357 11101 7913 7837 7730 7159 9663 10992 12657 12821
The accompanying data represent the coffee exports (in thousands of 80 kg bags) by a certain country from 2004 to 2016. Complete parts (a) through (9) below. Click the icon to view the coffee export data. a. Flot the data. Choose the correct graph below. OA C. OD Don Expts (1K bags) Q 13000 Expits (1K bags) 13000- Expes (1K bags) Q on f Expes (1K bags) Q O 72004 2016 702004 2016 109042016 2016 Year Year b. Fit a three-year moving average to the data and plot the results. Compute the three-year moving averages for this annual time series. Year MA(3) Year MA(3) 2005 10856 2011 7575 2006 11049 2012 8184 2007 1113 2013 9271 2008 1012 2014 11104 2009 8950 2015 12157 2010 7827 Round to the nearest whole number as needed.) Plot the averages. Choose the correct graph below. OA YB. O C. O D A Expts (MA 3-Yr) 130001 Expits (MA 3-Yr) AExpts (MA 3-Yr) 13000 1 Expts (MA 3. Yr) OO Q WV 2004 2016 2004 2016 2004 2016 2004 2016 Year Your Year Year c. Using a smoothing coefficient of W=0.50, exponentially smooth the series and plot the result. Compute the exponentially smoothed values for this annual time series. Year ES(W = 0.50) Year ES(W = 0.50) 2004 10178 2011 8,197 2005 10178 2012 7,878 2006 10279 2013 9177 2007 1037 2014 9250 2008 1052 2015 11.244 2009 9,492 2016 12,033 2010 8,685 Round to the nearest whole number as needed.) Plot the values. Choose the correct graph below.The accompanying data represent the coffee exports (in thousands of 80 kg bags) by a certain country from 2004 to 2016. Complete parts (3) through (g) below. Click the icon to view the coffee export data. 2005 10178 2012 7,878 2006 10279 2013 9177 2007 10378 2014 9250 2008 10525 2015 11.244' 2009 9,49 2016 12,033 201 8.685 (Round to the nearest whole number as needed.) Plot the values. Choose the correct graph below. OA OC OD 9001 Expes (W=0.50) 1300Expts (W=0.50) on Expts (W=0.50) on A Expts (W=0.50) VV WW 2016 7008604 2016 7009804 2016 7008604 Your Year Your d. What is the exponentially smoothed forecast for 2017? Y2017 = 12427 (Round to the nearest whole number as needed.) e. Repeat (c) and (d), using a smoothing coefficient of W = 0.25. Compute the exponentially smoothed values for this annual time series Year ES(W = 0.25) Year ES(W = 0.25) 200 10178 2011 9522 2005 10178 2012 9074 2006 10347 2013 8595 2007 10494 2014 2008 10710 2015 9395 2009 10808 2016 10210 2010 10084 Round to the nearest whole number as needed.) Plot the values. Choose the correct graph below. A OB VC O D AExpts (W=D.25) 13000 Expts (W=0.25) 13000Expats (W=D.25) 13000 EXP (W=0.25) Q 7009- 2016 2004 2016 2004 2016 2004 2016 Your Year Year What is the exponentially smoothed forecast for 2017? Y 2017 (Round to the nearest whole number as needed.)
