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 60 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. Plot the data. Choose the correct graph below. O A. VB. O C. O D. AExpts (1K bags) A Expts (1K bags) AExpts (1K bags) 13000- 13000- 13000- Q AExpts (1K bags) Q C 7000- 7000 7000 7000- 2004 2016 2004 2016 2004 2016 2004 2016 Year Year 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 10656 2011 7575 2006 11049 2012 8184 2007 11131 2013 9271 2008 10124 2014 11 104 2009 8950 2015 12157 2010 7827 (Round to the nearest whole number as needed.) Plot the averages. Choose the correct graph below. O A. O C. O D. A Expts (MA 3-Yr) AExpts (MA 3-Yr) A Expts (MA 3-Yr) A Expts (MA 3-Yr) 13000- 13000- 13000- 13000- 7000- 70004 7000- 2004 1016 2004 2016 2004 2016 inter your answer in the edit fields and then click Check Answer.The accompanying data represent the coffee exports (in thousands of 60 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 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, 197 005 10178 2012 7,678 2006 10279 2013 9177 2007 10378 2014 9250 2008 10525 2015 11,244 2009 9,492 2016 12,033 2010 8,665 Round to the nearest whole number as needed.) Plot the values. Choose the correct graph below. A. &B. O C. O D. A Expts (W=0.50) AExpts (W=0.50) A Expts (W=0.50) 13000 13009- Q AExpts (W=0.50) 13000 Q 13009 Q NWV 7000 2004 7000-HIT 7000-| HHHHHH 2004 7000- 2004 2016 2016 2004 2016 Year Year Year Year d. What is the exponentially smoothed forecast for 2017? Y 2017 = 12427 Round to the nearest whole number as needed.)The accompanying data represent the coffee exports (in thousands of 60 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. 2009 9,492 2016 12,033 2010 8,665 (Round to the nearest whole number as needed.) Plot the values. Choose the correct graph below. O A. &B. O C. O D. A Expts (W=0.50) 13000- Q Expts (W=0.50) 13009- Expts (W=0.50) 13009- Q AExpts (W=0.50) WWW Q 13009 Q C 7000- 2004 2016 7000- 2004 2016 7000- Year Year 2004 2016 7000-4 2004 Year 2016 Year d. What is the exponentially smoothed forecast for 2017? Y 2017 = 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) 2004 2011 2005 2012 2006 2013 2007 2014 2008 OOOOC 2015 2009 2016 2010 (Round to the nearest whole number as needed.)
