The manager of a travel agency has been using a seasonally adjusted forecast to predict demand for packaged tours. The actual and predicted values are as follows:
Period | Demand | Predicted |
1 | 123 | 113 |
2 | 183 | 200 |
3 | 143 | 150 |
4 | 78 | 102 |
5 | 73 | 80 |
6 | 118 | 135 |
7 | 113 | 128 |
8 | 142 | 124 |
9 | 107 | 109 |
10 | 162 | 150 |
11 | 117 | 94 |
12 | 102 | 80 |
13 | 137 | 140 |
14 | 147 | 128 |
a. Compute MAD for the fifth period, then update it period by period using exponential smoothing with α = .10. FILL IN THE BLANKS. (Round your intermediate calculations and final answers to 3 decimal places.)
t Period | A Demand | MADt |
1 | 123 | |
2 | 183 | |
3 | 143 | |
4 | 78 | |
5 | 73 | 13 |
6 | 118 | 13.4 |
7 | 113 | |
8 | 142 | |
9 | 107 | |
10 | 162 | |
11 | 117 | |
12 | 102 | |
13 | 137 | |
14 | 147 |
b. Compute a tracking signal for periods 5 through
14 using the initial and updated MADs.FILL IN THE BLANKS
(Negative values should be indicated by a minus sign. Round
your intermediate calculations and final answers to 3 decimal
places.)
t Period | A Demand | tracking signal |
1 | 123 | |
2 | 183 | |
3 | 143 | |
4 | 78 | |
5 | 73 | |
6 | 118 | |
7 | 113 | |
8 | 142 | |
9 | 107 | |
10 | 162 | |
11 | 117 | |
12 | 102 | |
13 | 137 | |
14 | 147 |
a.
Period - t | Demand | Predicted | |et| | MADt = α.|et|+ (1 - α).MADt-1 |
1 | 123 | 113 | 10 | |
2 | 183 | 200 | 17 | |
3 | 143 | 150 | 7 | |
4 | 78 | 102 | 24 | |
5 | 73 | 80 | 7 | 13.000 |
6 | 118 | 135 | 17 | 13.400 |
7 | 113 | 128 | 15 | 13.560 |
8 | 142 | 124 | 18 | 14.004 |
9 | 107 | 109 | 2 | 12.804 |
10 | 162 | 150 | 12 | 12.723 |
11 | 117 | 94 | 23 | 13.751 |
12 | 102 | 80 | 22 | 14.576 |
13 | 137 | 140 | 3 | 13.418 |
14 | 147 | 128 | 19 | 13.976 |
b.
Period - t | Demand | Predicted | et | RSFE | TS = RSFE / MAD |
1 | 123 | 113 | 10 | 10 | |
2 | 183 | 200 | -17 | -7 | |
3 | 143 | 150 | -7 | -14 | |
4 | 78 | 102 | -24 | -38 | |
5 | 73 | 80 | -7 | -45 | -3.462 |
6 | 118 | 135 | -17 | -62 | -4.627 |
7 | 113 | 128 | -15 | -77 | -5.678 |
8 | 142 | 124 | 18 | -59 | -4.213 |
9 | 107 | 109 | -2 | -61 | -4.764 |
10 | 162 | 150 | 12 | -49 | -3.851 |
11 | 117 | 94 | 23 | -26 | -1.891 |
12 | 102 | 80 | 22 | -4 | -0.274 |
13 | 137 | 140 | -3 | -7 | -0.522 |
14 | 147 | 128 | 19 | 12 | 0.859 |
Calculations:
The manager of a travel agency has been using a seasonally adjusted forecast to predict demand...
The manager of a travel agency has been using a seasonally adjusted forecast to predict demand for packaged tours. the actual and predicted values are as follows: Period Demand Predicted 1 124 113 2 184 200 3 144 150 4 79 102 5 74 80 6 119 135 7 114 128 8 141 124 9 106 109 10 161 150 11 116 94 12 101 80 13 136 140 14 146 128 a) Compute MAD for the fifth period, then...
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