Can you assist me with this question by showing me the process step by step so, I can use this to compare with my notes. I attempted this question numerous times however, Im still having trouble understanding. Thank you. Sales of tablet computers at Ted Glickman's electronics store in Washington, D.c., over the past 10 weeks are shown in the table below:Week1234568910Demand21212936262835242629a) The forecast for weeks 2 through 10 using exponential smoothing with a = 0.55 and a week 1 initial forecast of 21.0 are (round your responses to two decimalplaces):Week2345678910Demand21212936262835242629Forecast 21.0 21.00 21.00 25.40 31.23 28.35 28.16 31.92 27.56 26.70b) For the forecast developed using exponential smoothing (a = 0.55 and initial forecast 21.0), the MAD =sales (round your response to two decimal places).

Exponential smoothing formula : Ft = At-1*α + (1- α)*Ft-1 Error = Actual value - Forecasted value…

a) The forecast for weeks 2 through 10 using exponential smoothing with a = 0.55 and a week 1 initial forecast of 21.0 are (round your responses to two decimal places): Week Demand 21 Forecast 21.0 21.00` 21.00' 25.40) 31.23' 28.35' 28.16 31.92" 27.56 26.70 1 2 21 29 7 8 9 10 26 29 4 36 26 28 35 24 b) For the forecast developed using exponential smoothing (a = 0.55 and initial forecast 21.0), the MAD = sales (round your response to two decimal places).

a) The forecast for weeks 2 through 10 using exponential smoothing with a = 0.55 and a week 1 initial forecast of 21.0 are (round your responses to two decimal places): Week Demand 21 Forecast 21.0 21.00` 21.00' 25.40) 31.23' 28.35' 28.16 31.92" 27.56 26.70 1 2 21 29 7 8 9 10 26 29 4 36 26 28 35 24 b) For the forecast developed using exponential smoothing (a = 0.55 and initial forecast 21.0), the MAD = sales (round your response to two decimal places).

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter13: Regression And Forecasting Models

Section13.7: Exponential Smoothing Models

Problem 25P: The file P13_25.xlsx contains the quarterly numbers of applications for home mortgage loans at a...

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