Plot the table and give at least three observations from the plot according to the given data    Weeks Calls 3 month Weighted Moving Average Error =Abs (Actual -Forecasted) (Sum of Absolute percent error) 1 50       2 35       3 25       4 40 31.42857143 8.571428571 21.42857143 5 45 35 10 22.22222222 6 35 40.71428571 5.714285714 16.32653061 7 20 38.57142857 18.57142857 92.85714286 8 30 27.85714286 2.142857143 7.142857143 9 35 27.85714286 7.142857143 20.40816327 10 20 31.42857143 11.42857143 57.14285714 11 15 25.71428571 10.71428571 71.42857143 12 40 19.28571429 20.71428571 51.78571429 13 55 30 25 45.45454545 14 35 45 10 28.57142857 15 25 41.42857143 16.42857143 65.71428571 16 55 32.14285714 22.85714286 41.55844156 17 55 43.57142857 11.42857143 20.77922078 18 40 50.71428571 10.71428571 26.78571429 19 35 46.42857143 11.42857143 32.65306122 20 60 39.28571429 20.71428571 34.52380952 21 75 50 25 33.33333333 22 50 65 15 30 23 40 58.57142857 18.57142857 46.42857143 24 65 47.85714286 17.14285714 26.37362637           TOTAL 980 827.8571429 299.2857143 792.9186686                       Average Error 14.25170068       MAD= 14.25170068 Σ I actual – forecast I / n     MAPE%= 37.75803184 (Σ 100* I actual – forecast I / actual ) /n

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter13: Regression And Forecasting Models
Section13.6: Moving Averages Models
Problem 19P: The file P13_19.xlsx contains the weekly sales of a particular brand of paper towels at a...
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Plot the table and give at least three observations from the plot according to the given data 

 

Weeks

Calls

3 month Weighted Moving Average

Error =Abs (Actual -Forecasted)

(Sum of Absolute percent error)

1

50

     

2

35

     

3

25

     

4

40

31.42857143

8.571428571

21.42857143

5

45

35

10

22.22222222

6

35

40.71428571

5.714285714

16.32653061

7

20

38.57142857

18.57142857

92.85714286

8

30

27.85714286

2.142857143

7.142857143

9

35

27.85714286

7.142857143

20.40816327

10

20

31.42857143

11.42857143

57.14285714

11

15

25.71428571

10.71428571

71.42857143

12

40

19.28571429

20.71428571

51.78571429

13

55

30

25

45.45454545

14

35

45

10

28.57142857

15

25

41.42857143

16.42857143

65.71428571

16

55

32.14285714

22.85714286

41.55844156

17

55

43.57142857

11.42857143

20.77922078

18

40

50.71428571

10.71428571

26.78571429

19

35

46.42857143

11.42857143

32.65306122

20

60

39.28571429

20.71428571

34.52380952

21

75

50

25

33.33333333

22

50

65

15

30

23

40

58.57142857

18.57142857

46.42857143

24

65

47.85714286

17.14285714

26.37362637

         

TOTAL

980

827.8571429

299.2857143

792.9186686

         
         
 

Average Error

14.25170068

   
 

MAD=

14.25170068

Σ I actual – forecast I / n

 
 

MAPE%=

37.75803184

(Σ 100* I actual – forecast I / actual ) /n

 
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