Question

In: Statistics and Probability

Two types of forecasting methods (F1 and F2) were used to calculate the predicted demand show...

Two types of forecasting methods (F1 and F2) were used to calculate the predicted demand show below.   

PREDICTED DEMAND

Period Demand F1 F2
1 68 60 61
2 75 65 68
3 70 73 70
4 74 71 73
5 69 71 74
6 72 65 78
7 80 70 75
8 78 76 80

        

a.

Calculate the Mean Absolute Deviation for F1 and F2. Which is more accurate? (Round your answers to 2 decimal places.)

        

  MAD F1   
  MAD F2   

         

    (Click to select)F1F2None appears to be more accurate.

        

b.

Calculate the Mean Squared Error for F1 and F2. Which is more accurate? (Round your answers to 2 decimal places.)

        

  MSE F1   
  MSE F2   

        

  (Click to select)F1F2None appears to be more accurate.

         

c.

You can choose which forecast is more accurate, by calculating these two error methods. When would you use MAD? When would you us MSE?

Hint: Control charts are related to MSE; tracking signals are related to MAD.

        

Either one might already be in use, familiar to users, and have past values for comparison. If (Click to select)tracking signalscontrol charts are used, MSE would be natural; if (Click to select)control chartstracking signals are used, MAD would be more natura

        

d.

Calculate the Mean Absolute Percent Error for F1 and F2. Which is more accurate? (Round your intermediate calculations to 2 decimal places and and final answers to 2 decimal places.)

         

  MAPE F1   
  MAPE F2   

       

  (Click to select)F1F2None appears to be more accurate.

Solutions

Expert Solution

PREDICTED DEMAND ABS(F-F1)/F ABS(F-F2)/F
Period Demand F F1 F2 e = F-F1 e = F-F2 Abs.error= ABS(F-F1) Abs.error = ABS(F-F2) e^2=(F-F1)^2 e^2=(F-F2)^2 % Abs.error % Abs.error
1 68 60 61 8 7 8 7 64 49 11.76% 10.29%
2 75 65 68 10 7 10 7 100 49 13.33% 9.33%
3 70 73 70 -3 0 3 0 9 0 4.29% 0.00%
4 74 71 73 3 1 3 1 9 1 4.05% 1.35%
5 69 71 74 -2 -5 2 5 4 25 2.90% 7.25%
6 72 65 78 7 -6 7 6 49 36 9.72% 8.33%
7 80 70 75 10 5 10 5 100 25 12.50% 6.25%
8 78 76 80 2 -2 2 2 4 4 2.56% 2.56%
Average 5.625 4.125 42.375 23.625 7.64% 5.67%
MAD F1 MAD F2 MSE F1 MSE F2 MAPE F1 MAPE F2

a)

MAD F1 = 5.63

MAD F2 = 4.13

MAD F2 < MAD F1

MAD F2 is more accurate

b)

MSE F1 = 42.38

MSE F2 = 23.63

MSE F2 < MSE F1

MSE F2 is more accurate

c)

MAD is better measure of forecast than MSE

Used to determine future median, MAD is compatible but MSE is used to detrmine future expected value

d)

MAPE F1 = 7.64%

MAPE F2 = 5.67%

MAPE F2 < MAPE F1

MAPE F2 is more accurate


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