A store has the following demand figures for the last four years:Year1234Demand100150112200Given the demand forecast for year 2 of 100, the trend forecast for year 2 of 10, an alpha of 0.3, and a betaof 0.2, what is the demand forecast for year 5 using the double exponential smoothing method?0125O 134O 166O Cannot be determined

The store's demand figures for the last years:The demand forecast for year The trend forecast for…

Answered: A store has the following demand…

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 the information in the following table, use the THREE-MONTH MOVING AVERAGE Approach to forecast the demand for periods 4-12 PERIOD MONTH Demand Forecast Jan 57 2. Feb 69 3. Mar 210 Apr 54 May 207 Jun: 108 7. Jul 210 Aug 78 69 Sep 156 10 Oct 114 11 Nov 135 12 Dec 171
The monthly percentages of all shipments received on time are Monthy Proportion of On Time Shipments 72 81 78 90 83 85 90 82 89 81 85 84 78 88 Using the better method (4 month moving average or exponential smoothing with α=0.3), what is the forecast for next month? (round up to the nearest integer if your answer is not an integer)
Consider the following data: Month Jan-14 Feb-14 Profit ($) 16,113 16,263 Monthly Profit of an Auto Repair Shop Mar-14 Apr-14 May-14 Jun-14 Jul-14 Aug-14 Sep-14 15,055 17,117 18,763 17,210 19,141 18,468 20,254 Step 3 of 4: Determine the exponential smoothing forecast for the next time period using a smoothing constant of 0.35. If necessary, round your answer to one decimal place.
b. Use a = 0.2 to compute the exponential smoothing forecasts for the time series (to 2 decimals). Time-Series Value Month Forecast 1 110 2 130 120 4 110 5 95 6. 125 7 140 8 140 9 105 10 80 11 100 12 110 13
The Agri-Food Company has been in business for five years. Brian, the firm's owner, wants to develop a forecast of olive oil sales for the coming year (i.e., 2025) based on the following historical data: Year 2020 2021 2022 2023 2024 Sales 10 20 40 55 75 1. Forecast sales for 2025 using the 3-year moving average method. 2. Forecast sales for 2025 using the simple exponential smoothing method with a smoothing constant of a=0.6. 3. Forecast sales for 2025 using the simple linear trend method.
Please answer part e
Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely. You will get up vote for sure.
The following table contains the demand from the last 10 months: MONTH ACTUAL DEMAND 1 31 2 34 3 33 4 35 5 37 6 36 7 38 8 40 9 40 10 41 a. Calculate the single exponential smoothing forecast for these data using an α of 0.30 and an initial forecast ( F1�1 ) of 31. Note: Round your intermediate calculations and answers to 2 decimal places. b. Calculate the exponential smoothing with trend forecast for these data using an α of 0.30, a δ of 0.30, an initial trend forecast ( T1�1 ) of 1, and an initial exponentially smoothed forecast ( F1�1 ) of 30. Note: Round your intermediate calculations and answers to 2 decimal places. c-1. Calculate the mean absolute deviation (MAD) for the last nine months of forecasts. Note: Round your intermediate calculations and answers to 2 decimal places. c-2. Which is best? multiple choice Exponential smoothing with trend forecast Single exponential smoothing forecast
Quarterly boat sales over a two-year period are provided in the table below. Suppose wo expect year 3 to have an annual demand of 50. Using the multiplicative seasonal model, what is the forecasted value for quarter 2 in year 3? (Enter your answer rounded to the nearest whole number.) Boat Sales Period Year 1 Year 2 Quarter 1 8 Quarter 2 10 11 Quarter 3 12 14 10 Quarter 4
1 - A simple exponential smoothing model has a current mean of 156.8. Assuming demand for next period is 170, update the value of the smoothing statistic. Let a = 0.1. 2- An electronics company has sold 145, 157, 124, 169,179, 201, 197, and 230 units of a certain stereo system quarterly for the past two years. Plot the data and fit an appropriate model. Forecast sales for the next two quarters.
4.
Period 1 2 3 4 5 6 7 Actual 42 41 39 43 45 F ? ? 2 2. Using the same table above, compute the weighted moving average forecast for demand for four latest period. With data using a weight of .40 for the most recent, .30 for the next recent, .20 the next, and .10 for the oldest. Assume actual demand for period 6 is 44, what is the forecast for period 7?

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