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
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 - |
(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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