Passenger miles flown on Northeast Airlines, a commuter firm serving the Boston hub, are shown for the past 12 weeks:Week4Actual Passenger Miles (in thousands)101112152016211716 1817 22181219a) Assuming an initial forecast for week 1 of 15,000 miles, use exponential smoothing to compute miles for weeks 2 through 12. Use a= 0.22 (round your responsesto two decimal places).Week471011 12Forecasted Passenger15.00 15.00 16.10 16.08 17.16 17.12 16.87 17.12 17.09 18.17Miles (in thousands)b) The MAD for this model =thousand (round your responsetwo decimal places).c) Compute the Cumulative Forecast Errors, cumulative MAD in thousands, and tracking signals (round your responses to two decimal places).Incorrect: 0CumulativeForecastTrackingSignalCumulativeForecastErrorsTrackingSignalWeekErrorsMADWeekMAD0.0079.671.785.450.002.009.551.576.095.002.5014.461.947.4534.901.702.883.921014.291.768.119.822.514.74119.662.04Click to select your answer(s) and then click Check Answer.Clear All11:39 PMAll parts showingD 402/1/2020search

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Asked Feb 2, 2020
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Passenger miles flown on Northeast Airlines, a commuter firm serving the Boston hub, are shown for the past 12 weeks:
Week
4
Actual Passenger Miles (in thousands)
10
11
12
15
20
16
21
17
16 18
17 22
18
12
19
a) Assuming an initial forecast for week 1 of 15,000 miles, use exponential smoothing to compute miles for weeks 2 through 12. Use a= 0.22 (round your responses
to two decimal places).
Week
4
7
10
11 12
Forecasted Passenger
15.00 15.00 16.10 16.08 17.16 17.12 16.87 17.12 17.09 18.17
Miles (in thousands)
b) The MAD for this model =
thousand (round your response
two decimal places).
c) Compute the Cumulative Forecast Errors, cumulative MAD in thousands, and tracking signals (round your responses to two decimal places).
Incorrect: 0
Cumulative
Forecast
Tracking
Signal
Cumulative
Forecast
Errors
Tracking
Signal
Week
Errors
MAD
Week
MAD
0.00
7
9.67
1.78
5.45
0.00
2.00
9.55
1.57
6.09
5.00
2.50
14.46
1.94
7.45
3
4.90
1.70
2.88
3.92
10
14.29
1.76
8.11
9.82
2.51
4.74
11
9.66
2.04
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Passenger miles flown on Northeast Airlines, a commuter firm serving the Boston hub, are shown for the past 12 weeks: Week 4 Actual Passenger Miles (in thousands) 10 11 12 15 20 16 21 17 16 18 17 22 18 12 19 a) Assuming an initial forecast for week 1 of 15,000 miles, use exponential smoothing to compute miles for weeks 2 through 12. Use a= 0.22 (round your responses to two decimal places). Week 4 7 10 11 12 Forecasted Passenger 15.00 15.00 16.10 16.08 17.16 17.12 16.87 17.12 17.09 18.17 Miles (in thousands) b) The MAD for this model = thousand (round your response two decimal places). c) Compute the Cumulative Forecast Errors, cumulative MAD in thousands, and tracking signals (round your responses to two decimal places). Incorrect: 0 Cumulative Forecast Tracking Signal Cumulative Forecast Errors Tracking Signal Week Errors MAD Week MAD 0.00 7 9.67 1.78 5.45 0.00 2.00 9.55 1.57 6.09 5.00 2.50 14.46 1.94 7.45 3 4.90 1.70 2.88 3.92 10 14.29 1.76 8.11 9.82 2.51 4.74 11 9.66 2.04 Click to select your answer(s) and then click Check Answer. Clear All 11:39 PM All parts showing D 40 2/1/2020 search

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Expert Answer

Step 1

Given data 

Mechanical Engineering homework question answer, step 1, image 1

 

Mechanical Engineering homework question answer, step 1, image 2

Step 2

B.

 MAD = 2.007 

C.

Forecast error is the difference between actual and forecasted value of any entity.

Forecast error = actual value – forecasted value

Cumulative forecast error = sum of forecast error till last week + (actual value of last week – forecast for that week)

So, sum of forecast error till...

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