This is for Supply Chain Management Please answer all parts A. naive B. Three ye
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Question
This is for Supply Chain ManagementPlease answer all parts
A. naive B. Three year simple moving average C. Three year weighted moving average with weights of 0.1, 0.6, and 0.3 D. Simple exponential smoothing with a smoothing constant of 0.8 and a projected average number of points per game of 30.61 for Kevin Durant of the Oklahoma City Thunder in the 2013-14 season.
2. The scoring leaders in the National Basketball Association (NBA), their teams, and the average numbers of points they scored per game from the 2000-01 season to the 2016-17 season are shown below 015-16 Stephen Curry 30.06 GSW 2013-14Kevin Durant 32.01 2012-13 2011-12 2010- Kevin Durant27.73 OKC Kevin Durant 30.15 OKC 008-09Deyane Wade 302 MA LeBron lames 0 CLE 2006-07 KobeBryant 31.56 005-06 Kobe Bryant 2004-05 Allen Iverson 35.4 PHI 001-02 Allen lverson31.38PH D0-01 Allen Iverson 1.08 Let the 2000-01 season be Period I, the 2001-02 season be Period 2, .., and the 2016-17 season be Period 17 (1) Apply each of following approaches to forecast the average number of points to be scored per game by the scoring leader in the 2017-18 season. Be sure to carry two decimal places for any irrational numbers (a) Naive. (b) Three-year simple moving average. (c) Three-year weighted moving average with weights of 0.1, 0.6, and 0.3 (d) Simple exponential smoothing with a smoothing constant of 0 8 and a projected average number of points per game of 30.61 for Kevin Durant of the Oklahoma City Thunder in the 2013-14 season. (2) Visit the website of Basketball Reference at https://www www.basketball- reference.com leaders/pts per g yearly html and find out who in which team the NBA scoring leader was in 2017-2018 and how many points he scored per game on average. (3) Which of the four forecasts in Part (I) is closest to the result in Part (2)?
Explanation / Answer
Season PPG Naïve Method 3-year Simple Moving Average 3-year Weighted Moving Average (0.1,0.6,0.3) Season PPG Exponential Smoothening with constant 0.8 2000-01 31.08 2000-01 31.08 2001-02 31.38 31.08 2001-02 31.38 31.08 2002-03 32.09 31.38 2002-03 32.09 31.14 2003-04 28.03 32.09 31.52 31.56 2003-04 28.03 31.33 2004-05 30.69 28.03 30.50 30.80 2004-05 30.69 30.67 2005-06 35.4 30.69 30.27 29.23 2005-06 35.4 30.67 2006-07 31.56 35.4 31.37 31.84 2006-07 31.56 31.62 2007-08 30 31.56 32.55 33.78 2007-08 30 31.61 2008-09 30.2 30 32.32 31.48 2008-09 30.2 31.29 2009-10 30.15 30.2 30.59 30.22 2009-10 30.15 31.07 2010-11 27.71 30.15 30.12 30.17 2010-11 27.71 30.88 2011-12 28.03 27.71 29.35 29.42 2011-12 28.03 30.25 2012-13 28.06 28.03 28.63 28.05 2012-13 28.06 29.81 2013-14 32.01 28.06 27.93 28.01 2013-14 30.61 29.46 2014-15 28.15 32.01 29.37 29.24 2014-15 28.15 29.69 2015-16 30.06 28.15 29.41 30.46 2015-16 30.06 29.38 2016-17 31.58 30.06 30.07 29.11 2016-17 31.58 29.52 2017-18 Forecasting 31.58 29.93 30.33 2017-18 Forecasting 29.93
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