pllowing are the data on demand for white bread loave Day 2 3 4 5 6 7 8 9 10 11 12 Loaves 199 209 215 226 233 237 252 257 253 265 283 278
pllowing are the data on demand for white bread loave Day 2 3 4 5 6 7 8 9 10 11 12 Loaves 199 209 215 226 233 237 252 257 253 265 283 278
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
please answer within 30 minutes
![Following are the data on demand for white bread loaves at a bakery.
Day
1
2
3
4
Loaves
199
209
215
226
233
237
252
257
253
265
283
278
279
298
310
6
7
8.
10
11
12
13
14
15
a. Develop a linear trend equation for the above 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. (Round the final answers to 2 decimal
places.)
Y=
x+
Forecast demand on day 16
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 = 0.2 and B = 0.1 to model the bread demand. Use the first four days to estimate the smoothed initial trend that you
use for periods 4 and 5 (use the increase from day 1 to day 4 divided by 3). Also, use A4 to estimate S4. Start forecasting day 5. What is
the forecast for day 16? (Round the final answers to 2 decimal places.)
Period
TAF†
5
6
7
8
9.
10
11
12
13
14
15
16
Forecast for day 16](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff9502cb2-5df7-4277-af9a-a74586a8bc7e%2F82392398-170c-4f5a-9839-5e5d9b6871fa%2Fskyjxc_processed.png&w=3840&q=75)
Transcribed Image Text:Following are the data on demand for white bread loaves at a bakery.
Day
1
2
3
4
Loaves
199
209
215
226
233
237
252
257
253
265
283
278
279
298
310
6
7
8.
10
11
12
13
14
15
a. Develop a linear trend equation for the above 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. (Round the final answers to 2 decimal
places.)
Y=
x+
Forecast demand on day 16
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 = 0.2 and B = 0.1 to model the bread demand. Use the first four days to estimate the smoothed initial trend that you
use for periods 4 and 5 (use the increase from day 1 to day 4 divided by 3). Also, use A4 to estimate S4. Start forecasting day 5. What is
the forecast for day 16? (Round the final answers to 2 decimal places.)
Period
TAF†
5
6
7
8
9.
10
11
12
13
14
15
16
Forecast for day 16
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