4.29. The demand for all-terrain bicycles had been steadily increasing since 1989. In the followingtable are the sales per quarter of mountain bikes produced by Canyon and Cactus Cycles sincethe second quarter of 1989.(a) Plot the data and verify that the model for linear trend is acceptable. Draw a line through theplotted data and obtain a visual estimate of a and b.(b) Estimate the parameters of the model in preparation for double exponential smoothing.(c) Forecast sales for the third quarter of 1996 using these initial estimates.(d) Forecast sales for the fourth quarter of 1996 using alpha 0.3 and beta = 0.25 if sales inthe third quarter of 1996 were equal to 234.(e) Use linear regression to estimate the parameters and forecast the third quarter of 1996. Observation1234561891011121314Year1989199019911992Quarter234123412341234Demand1673615743446868738493128100130148ObservationBARDGING1617181920212223242526272829Year Quarter Demand1993114714213415918116816818818618918422420722319941995FORECASTING 13319962341234123412

“Since you have posted a question with multiple sub-parts, we will solve the first three sub-parts…

Answered: . The demand for all-terrain bicycles…

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter2: Introduction To Spreadsheet Modeling

Section: Chapter Questions

Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...

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The following data are for calculator sales in units at an electronics store over the past nine weeks: Week Sales Week Sales 1 45 6. 53 2 50 7 59 3 44 59 4 51 9 64 5 57 Use trend projection with regression to forecast sales for weeks 10 - 13. What are the error measures (CFE, MSE, G. MAD, and MAPE) for this forecasting procedure? How about ? Obtain the trend projection with regression forecast for weeks 10 - 13. (Enter your responses rounded to two decimal places.) Period Forecast, F, 10 11 12 13
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