Compute the total forecast error sum of the forecast

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83. Compute the total forecast error (sum of the forecast error terms).  15       Bowerman - Chapter 16 #83 Difficulty: Easy Learning Objective: 16-04 Describe how forecast errors can be calculated   84. Compute the mean squared deviation (MSD).  496.875     MSD = 3975/8 = 496.875   Bowerman - Chapter 16 #84 Difficulty: Medium Learning Objective: 16-04 Describe how forecast errors can be calculated  
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85. Compute the mean absolute deviation (MAD).  21.875     MSD = 175/8 = 21.875   Bowerman - Chapter 16 #85 Difficulty: Easy Learning Objective: 16-04 Describe how forecast errors can be calculated          Bowerman - Chapter 16  
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86. Compute the total forecast error (sum of the forecast error terms).  -10       Bowerman - Chapter 16 #86 Difficulty: Easy Learning Objective: 16-04 Describe how forecast errors can be calculated   87. Compute the mean squared deviation (MSD).  125     MSD = 750/6 = 125   Bowerman - Chapter 16 #87 Difficulty: Medium Learning Objective: 16-04 Describe how forecast errors can be calculated  
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88. Compute the mean absolute deviation.  10     MAD = 60/6 = 10   Bowerman - Chapter 16 #88 Difficulty: Medium Learning Objective: 16-04 Describe how forecast errors can be calculated    Consider the following data:       Bowerman - Chapter 16  
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89.  Calculate S 0  for use in simple exponential smoothing.    19        Bowerman - Chapter 16 #89 Difficulty: Medium Learning Objective: 16-03 Demonstrate when you would use multiplicative decomposition methods versus exponential smoothing   90.  Calculate S 1  using simple exponential smoothing and  = 0.2.    18.6            Bowerman - Chapter 16 #90 Difficulty: Medium Learning Objective: 16-03 Demonstrate when you would use multiplicative decomposition methods versus exponential smoothing   91.  Use simple exponential smoothing with  = 0.2. Determine the value of the forecast error for time period 1.    -1.6                Bowerman - Chapter 16 #91 Difficulty: Medium Learning Objective: 16-04 Describe how forecast errors can be calculated  
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92.  Consider the data given above and calculate S 3  using simple exponential smoothing if  S 1  = 18.6 and  a  = 0.2.
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