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Passenger miles flown on Northeast Airlines, a commuter firm serving the Boston hub, are shown for the past 12 weeks: 1 Week 2 3 4 5 6 7 Actual Passenger Miles (in thousands) 15 20 16 21 16 15 17 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 = 0.25 (round your responses to two decimal places) Week Forecasted Passenger Miles (in thousands) 1 2 3 4 5 6 7 8 9 10 11 12 15.00 15.00 16.25 16.19 17.39 17.04 16.53 16.65 16.49 17.62 17.46 15.85 Week 1 2 3 4 5 6 MAD 0.00 2.50 1.75 2.52 2.29 2.25 o) The MAD for this model = 2.61 thousand (round your response to two decimal places). c) Compute the Cumulative Forecast Errors, cumulative MAD in thousands, and tracking signals (round your responses to two decimal places). Cumulative Forecast Errors Cumulative Forecast Errors 0.00 5.00 4.75 9.56 8.17 6.13 Tracking Signal 2.00 2.71 3.80 3.57 2.73 Week 7 8 9 10 11 12 8 9 16 21 6.60 5.95 10.46 9.84 10 17 MAD 1.99 1.83 2.12 1.97 11 11 D 12 21 Tracking Signal 3.31 3.26 4.92 4.98

Passenger miles flown on Northeast Airlines, a commuter firm serving the Boston hub, are shown for the past 12 weeks: 1 Week 2 3 4 5 6 7 Actual Passenger Miles (in thousands) 15 20 16 21 16 15 17 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 = 0.25 (round your responses to two decimal places) Week Forecasted Passenger Miles (in thousands) 1 2 3 4 5 6 7 8 9 10 11 12 15.00 15.00 16.25 16.19 17.39 17.04 16.53 16.65 16.49 17.62 17.46 15.85 Week 1 2 3 4 5 6 MAD 0.00 2.50 1.75 2.52 2.29 2.25 o) The MAD for this model = 2.61 thousand (round your response to two decimal places). c) Compute the Cumulative Forecast Errors, cumulative MAD in thousands, and tracking signals (round your responses to two decimal places). Cumulative Forecast Errors Cumulative Forecast Errors 0.00 5.00 4.75 9.56 8.17 6.13 Tracking Signal 2.00 2.71 3.80 3.57 2.73 Week 7 8 9 10 11 12 8 9 16 21 6.60 5.95 10.46 9.84 10 17 MAD 1.99 1.83 2.12 1.97 11 11 D 12 21 Tracking Signal 3.31 3.26 4.92 4.98

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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 1 2 3 4 5 6 Actual Passenger Miles (in thousands) 15 20 16 21 16 15 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 = 0.25 (round your responses to two decimal places). 1 7 8 9 2 3 4 10 11 12 15.00 15.00 16.25 16.19 17.39 17.04 16.53 16.65 16.49 17.62 17.46 15.85 Week 1 2 3 4 5 6 Week Forecasted Passenger Miles (in thousands) b) The MAD for this model = 2.61 thousand (round your response to two decimal places). c) Compute the Cumulative Forecast Errors, cumulative MAD in thousands, and tracking signals (round your responses to two decimal places). Cumulative Forecast Cumulative Forecast Errors Errors 0.00 6.60 5.00 5.95 4.75 10.46 9.56 9.84 8.17 6.13 MAD 0.00 2.50 1.75 2.52 2.29 2.25 Tracking Signal 2.00 2.71 3.80 3.57 2.73 5 6 7 17 Week 7 8 9 10 11 8 9 16 21 10 11 12 17 11 21 MAD 1.99 1.83 2.12 1.97 Tracking Signal 3.31 3.26 4.92 4.98
Transcribed Image Text:Passenger miles flown on Northeast Airlines, a commuter firm serving the Boston hub, are shown for the past 12 weeks: Week 1 2 3 4 5 6 Actual Passenger Miles (in thousands) 15 20 16 21 16 15 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 = 0.25 (round your responses to two decimal places). 1 7 8 9 2 3 4 10 11 12 15.00 15.00 16.25 16.19 17.39 17.04 16.53 16.65 16.49 17.62 17.46 15.85 Week 1 2 3 4 5 6 Week Forecasted Passenger Miles (in thousands) b) The MAD for this model = 2.61 thousand (round your response to two decimal places). c) Compute the Cumulative Forecast Errors, cumulative MAD in thousands, and tracking signals (round your responses to two decimal places). Cumulative Forecast Cumulative Forecast Errors Errors 0.00 6.60 5.00 5.95 4.75 10.46 9.56 9.84 8.17 6.13 MAD 0.00 2.50 1.75 2.52 2.29 2.25 Tracking Signal 2.00 2.71 3.80 3.57 2.73 5 6 7 17 Week 7 8 9 10 11 8 9 16 21 10 11 12 17 11 21 MAD 1.99 1.83 2.12 1.97 Tracking Signal 3.31 3.26 4.92 4.98
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