Passenger miles fown on Northeast Airlines, a commuter ferm serving the Boston hub, are shown for the past 12 weeks Week 2 3 6. 7. 6. 10 11 12 Actual Passenger Miles (in thousands) 17 21 19 23 18 16 20 18 22 20 15 22 a) Assuming an initial forecast for week 1 of 17,000 miles, use exponential smoothing to compute miles for weeks 2 through 12. Use a02 (round your respont two decimal places). Week 2. 7 9 10 11 12 Forecasted Passenger Miles (in thousands) 17.00 17.00 17.80 18.04 19.03 18.83 18.26 18.61 18.49 19.19 19.35 18.48 sS 021 b) The MAD for this model-(round your response to two decimal place

Passenger miles fown on Northeast Airlines, a commuter ferm serving the Boston hub, are shown for the past 12 weeks Week 2 3 6. 7. 6. 10 11 12 Actual Passenger Miles (in thousands) 17 21 19 23 18 16 20 18 22 20 15 22 a) Assuming an initial forecast for week 1 of 17,000 miles, use exponential smoothing to compute miles for weeks 2 through 12. Use a02 (round your respont two decimal places). Week 2. 7 9 10 11 12 Forecasted Passenger Miles (in thousands) 17.00 17.00 17.80 18.04 19.03 18.83 18.26 18.61 18.49 19.19 19.35 18.48 sS 021 b) The MAD for this model-(round your response to two decimal place

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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Based on above assume you are using the moving average forecasting method based on the last four observations. When making the forecast for the last period, theoldest of the four observations was 1945 and the forecast was 2083. Thetrue value for the last period then turned out to be 1977. Calculate yourforecast for the next period.
Please complete parts b and c
Suppose seafood price and quantity data for the years 2000 and 2009 follow. Use 2000 as the base period. 2000 2000 Price ($/lb) 2009 Seafood Qty. (Ib) Price ($/lb) Halibut 75,090 2.01 2.33 Lobster 83,180 3.62 3.09 Tuna 50,779 1.87 1.97 (a) Compute a price relative for each type of seafood. (Round your answers to one decimal place.) Seafood Price Relative Halibut Lobster Tuna (b) Compute a weighted aggregate price index for the seafood catch. (Round your answer to one decimal place.) I 2009 - Comment on the change in seafood prices over the nine-year period. (Enter your percentage as a positive value. Round your answer to one decimal place.) Seafood prices have --Select--- v by % over the 9-year period according to the index.
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Suppose seafood price and quantity data for the years 2000 and 2009 follow. Use 2000 as the base period. 2000 2009 Seafood 2000 Qty. (lb) Price ($/lb) Price ($/lb) Halibut 75,190 2.01 2.43 Lobster 83,180 3.72 3.09 Tuna 50,779 1.87 1.97 (a) Compute a price relative for each type of seafood. (Round your answers to one decimal place.) Seafood Price Relative Halibut Lobster Tuna L (b) decimal place.) pute a weighted aggregate price index for the seafood catch. (Round your answer to 2009 = Comment on the change in seafood prices over the nine-year period. (Enter your percentage as a positive value. Round your answer to one decimal place.) Seafood prices have increased by % over the 9-year period according to the index.
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