Passenger miles flown on Northeast Airlines, a commuter firm serving the Boston hub, are shown for the past 12 weeks:Week123 4 5Actual Passenger Miles (in thousands) 17 21 19 23 19a) Assuming an initial forecast for week 1 of 17,000 miles, use exponential smoothing to compute miles for weeks 2 through 12. Use a 0.22 (round your responses to two decimal places)Week12 3 45678910 11 12Forecasted Passenger 17.00 17.00 17.88 18.13 19 20 19 16 18.68 19.19 10.15 20:00 20:22 18.63Miles (in thousands)thousand (round your response to two decimal places).b) The MAD for this model6 7 817 21 199 102321C121113 19

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Answered: Passenger miles flown on Northeast…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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Compare the primary types of forecasting methods used to determine demand.
Year, x 2009, 0 2010, 1 2011, 2 2012, 3 2013, 4 2014, 5 Average Monthly Cost to Workers for Family Health Insurance $296 338 348 362 384 404
Given the number of calls per week received by a dental clinic, what is the forecasted number of calls for week 12 considering that the forecast for week 1 was 47 and a smoothing constant a -0.2? CALLS 52 35 25 36 45 35 44 WEEK 1 2 3 4 5 6 7 869 10 34 calls 35 calls 33 calls 38 calls 30 35 25
The marketing manager of "ABC Tapes" wants to assess the competitiveness of the company's product in the market. Table 1 represents the prices and quantities of blank cassette tapes sold in January 2016 and January 2020. TABLE 1 2016 2020 Length of tapes Price Quantity Price Quantity 30 minutes R 4.00 32 R 5.60 40 60 minutes R 4 30 150 R 6.15 190 90 minutes R 4.60 100 R 7.40 130 Using 2016 as base and calculate for 2020 the following: Determine the Laspeyres price index: a) 149.492 Ob) 149.367 Oc) 66.949 d) 66.893
Month Actual demand Forecasted Demand 1 950 1000 2 1070 1000 3 1100 1000 4 960 1000 5 1090 1000 6 1050 1000 For the dataset above, compute the overall MAPE.
Use the most accurate method to forecast the revenues of licenses, permits, and fees in Years 9, 10, and 11. Use the Year 8 actual figure instead of the forecast figure (Year 8 was $23,210,218). Also, consider three incremental changes in forecasting.
Below is a table containing data on product demand for the most recent three months along with the forecasts that had been made for those three previous months. Calculate the MAPE. Month Demand Forecast 1 308 310 388 390 344 342 2.
You collect data of average annual returns for Amazon Stock and Microsoft Stock and make the following table: (This data can be copied into Excel.) You use this data to answer the research question: are true population Amazon Returns greater than true population Microsoft Returns? What is your point estimate of the difference in Amazon Returns and Microsoft Returns? Enter your answer as a positive number. Round your answer to four decimal places.
The following are historical demand data: ACTUAL YEAR 2011 SEASON DEMAND Spring 201 Summer 142 Fall 380 Winter 578 2012 Spring 469 Summer 273 Fall Winter 683 963 Use regression analysis on deseasonalized demand to forecast demand in summer 2013. (Do not round intermediate calculations. Round your answer to the nearest whole number.) Forecast for summer 2013
An entrepreneur who owns and operates two businesses (A and B) would like to analyze their profitability. They would like your help in the analysis. They give you the annual net profit (in thousands of $) for each business from 2008-2020. Table 1: Annual Net Profits for Businesses A and B Business Year Profit Business Year Profit 2008 -50 2008 -10 2009 57 2009 30 2010 71 2010 27 2011 64 2011 22 2012 60 2012 21 2013 50 2013 20 A 2014 41 2014 24 2015 59 2015 24 2016 71 2016 32 2017 71 2017 36 2018 74 2018 37 019 81 20 40 2020 97 2020 49 a. Suppose you want to graph the distribution of profits. Explain why using only one stem- plot might not be optimal for the analysis. b. Describe the correct stemplot to use. Generate this stemplot. Explain your steps. What can you say about the distribution from this stemplot? c. When are stemplots useful? And why is that? d. Suppose that instead of having 26 observations you have 200 observations. What graph should you generate? e. What other type of…

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