The table below comprises of demand from the last 10 months:Month Demand3134333537OO3031321234335678 agCalculate the exponential smoothing with trend forecast for the second month using a alpha and delta of 0.3 each. Take the initial exponentiallysmoothed forecast (F1) of 30 and initial trend forecast (T1) of 1.9103638404041

We have given the table below, which comprises demand from the last 10 months: MonthDemand,…

Answered: The table below comprises of 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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A hospital records the number of floral deliveries its patients receive each day. For a two-week period, the records show the following deliveries. 14, 28, 27, 23, 19, 20, 27, 20, 14, 27, 24, 25, 18, 22 Use exponential smoothing with a smoothing constant of 0.4 to forecast the number of deliveries. (Round your answers to two decimal places.) Time Period 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Actual Value 14 28 27 23 19 20 27 20 14 27 24 25 18 22 Forecast
Please complete parts b and c
Use the following information to compute a single exponential smoothing model forecast with a smoothing constant (α = 0.30) to produce the actual demand for the period.) Use 115 as the initial forecast. Click the icon to view the demand for the previous 9 periods. Fill-in the table below for a single exponential smoothing forecast (enter your responses rounded to one decimal place). Period F(SES) 1 2 3 4 5 6 7 8 9 The forecast for period 10 is Period 1 115 117 182 23456789 133 107 96 177 176 (Enter your response rounded to one decimal place.) 144 U at 115 117 182 133 107 96 177 176 144 forecast for period 10. (Note: a, is
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
Consider the following data: Monthly Profit of a Gym Feb-12 Mar-12 Apr-12 May-12 Jun-12 Jul-12 Aug-12 Sep-12 6,090 Month Jan-12 Profit ($) 6,500 6.253 5,514 5,357 5,425 6,278 8,119 6,390 Step 3 of 5: Determine the exponentially smoothed forecast for the next time period using a smoothing constant, a, of 0.35. If necessary, round your answer to one decimal place.
set forecasts using alpha 0.45 and 0.78 for the total oil productions in millions of tons for Saudi Arabia using simple exponential smoothing
Consider the following data: Month Jan-14 Feb-14 Profit ($) 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.
The following table contains the demand from the last 10 months. 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) of 1, and an initial exponentially smoothed forecast (F1) of 30. Round your intermediate calculations and answers to two decimal places.
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
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.
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.
A 18.2% B 15.7% C 22.2% D 4.4%

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