Use a 3-quarter moving average method to forecast the no of the participants from quarter 4,...
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Use a 3-quarter moving average method to forecast the no of the participants from quarter 4, 2011 to quarter 4, 2019 Quarter Year Quarter 1 Quarter 2 Quarter 3 Quarter 4 2011 569 131 353 183 2012 492 311 302 124 2013 553 282 419 279 Data 2014 712 267 515 303 Participants 2015 672 460 493 351 2016 631 463 594 366 2017 676 485 503 309 2018 733 472 567 454 2019 847 491 725 477 Quarter 4, 2019, that is, a) Use a 3-Quarter Moving Average Method to forecast the # of the participants from Quarter 4, 2011 to Quarter 4, 2019. b) Use a Linear Projection Forecast Method to forecast the # of the participants from Quarter 1, 2011 to Quarter 4, 2019. c) Use an Exponential Smoothing Forecast Method, with a = 0.35, to forecast the # of the participants from Quarter 1, 2012 to Quarter 4, 2019. Assume that initial forecast for Quarter 4, 2011 is 300. Use a 3-quarter moving average method to forecast the no of the participants from quarter 4, 2011 to quarter 4, 2019 Quarter Year Quarter 1 Quarter 2 Quarter 3 Quarter 4 2011 569 131 353 183 2012 492 311 302 124 2013 553 282 419 279 Data 2014 712 267 515 303 Participants 2015 672 460 493 351 2016 631 463 594 366 2017 676 485 503 309 2018 733 472 567 454 2019 847 491 725 477 Quarter 4, 2019, that is, a) Use a 3-Quarter Moving Average Method to forecast the # of the participants from Quarter 4, 2011 to Quarter 4, 2019. b) Use a Linear Projection Forecast Method to forecast the # of the participants from Quarter 1, 2011 to Quarter 4, 2019. c) Use an Exponential Smoothing Forecast Method, with a = 0.35, to forecast the # of the participants from Quarter 1, 2012 to Quarter 4, 2019. Assume that initial forecast for Quarter 4, 2011 is 300.
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Related Book For
Income Tax Fundamentals 2013
ISBN: 9781285586618
31st Edition
Authors: Gerald E. Whittenburg, Martha Altus Buller, Steven L Gill
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