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7. a. Develop a linear trend equation for the following data on demand for white bread loaves at a bakery (use of Excel's Trendline, with display equation on chart option, is recommended), and use it to forecast demand on day 16. Day Loaves Day 1 200 6 2 214 7 3 211 8 228 9 235 10 4 5 Loaves 232 248 250 253 267 Day 11 12 13 14 15 Loaves 281 275 280 288 310 b. The variations around the linear trend line seem to have above- and below-the-line runs. Therefore, use trend-adjusted exponential smoothing with a = 0.3 and ß = 0.2 to model the bread demand. Use the first four days to estimate the initial smoothed series (use the average of the first four days) and smoothed trend (use the increase from day 1 to day 4 divided by 3). Start forecasting day 5. What is the forecast for day 16?

7. a. Develop a linear trend equation for the following data on demand for white bread loaves at a bakery (use of Excel's Trendline, with display equation on chart option, is recommended), and use it to forecast demand on day 16. Day Loaves Day 1 200 6 2 214 7 3 211 8 228 9 235 10 4 5 Loaves 232 248 250 253 267 Day 11 12 13 14 15 Loaves 281 275 280 288 310 b. The variations around the linear trend line seem to have above- and below-the-line runs. Therefore, use trend-adjusted exponential smoothing with a = 0.3 and ß = 0.2 to model the bread demand. Use the first four days to estimate the initial smoothed series (use the average of the first four days) and smoothed trend (use the increase from day 1 to day 4 divided by 3). Start forecasting day 5. What is the forecast for day 16?

MATLAB: An Introduction with Applications
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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ht LO4 7. a. Develop a linear trend equation for the following data on demand for white bread loaves at a bakery (use of Excel's Trendline, with display equation on chart option, is recommended), and use it to forecast demand on day 16. Day 1 2 3 4 5 Loaves Day 200 6 214 7 211 8 228 9 235 10 Loaves 232 248 250 253 267 Day 11 12 13 14 15 Loaves 281 275 280 288 310 b. The variations around the linear trend line seem to have above- and below-the-line runs. Therefore, use trend-adjusted exponential smoothing with a = 0.3 and ß = 0.2 to model the bread demand. Use the first four days to estimate the initial smoothed series (use the average of the first four days) and smoothed trend (use the increase from day 1 to day 4 divided by 3). Start forecasting day 5. What is the forecast for day 16?
Transcribed Image Text:ht LO4 7. a. Develop a linear trend equation for the following data on demand for white bread loaves at a bakery (use of Excel's Trendline, with display equation on chart option, is recommended), and use it to forecast demand on day 16. Day 1 2 3 4 5 Loaves Day 200 6 214 7 211 8 228 9 235 10 Loaves 232 248 250 253 267 Day 11 12 13 14 15 Loaves 281 275 280 288 310 b. The variations around the linear trend line seem to have above- and below-the-line runs. Therefore, use trend-adjusted exponential smoothing with a = 0.3 and ß = 0.2 to model the bread demand. Use the first four days to estimate the initial smoothed series (use the average of the first four days) and smoothed trend (use the increase from day 1 to day 4 divided by 3). Start forecasting day 5. What is the forecast for day 16?
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