Forecasting: 1. How does the number of periods in moving average affect the responsiveness of the forecast? 2. Contrast the terms sales and demand. 3. KA commercial bakery has recorded sales (in...


Forecasting:<br>1. How does the number of periods in moving average affect the responsiveness of<br>the forecast?<br>2. Contrast the terms sales and demand.<br>3.<br>KA commercial bakery has recorded sales (in dezens) for three products, as shown below:<br>Blueberry<br>MuHins<br>Cinnamon<br>Buns<br>Day<br>Cupcakes<br>30<br>18<br>45<br>34<br>17<br>26<br>32<br>19<br>27<br>34<br>23<br>35<br>2<br>22<br>30<br>23<br>48<br>23<br>29<br>34<br>36<br>25.<br>20<br>29<br>24<br>14<br>10<br>31<br>26<br>18<br>35<br>31<br>11<br>27<br>47<br>28<br>26<br>27<br>37<br>34<br>13<br>14<br>31<br>24<br>15<br>33<br>33<br>22<br>a. Predict orders for the following day for cach of the products using an appropriate naive<br>method.<br>b What should the use of sales data instead of demand imply.<br>RNN N N N<br>H.NM p<br>

Extracted text: Forecasting: 1. How does the number of periods in moving average affect the responsiveness of the forecast? 2. Contrast the terms sales and demand. 3. KA commercial bakery has recorded sales (in dezens) for three products, as shown below: Blueberry MuHins Cinnamon Buns Day Cupcakes 30 18 45 34 17 26 32 19 27 34 23 35 2 22 30 23 48 23 29 34 36 25. 20 29 24 14 10 31 26 18 35 31 11 27 47 28 26 27 37 34 13 14 31 24 15 33 33 22 a. Predict orders for the following day for cach of the products using an appropriate naive method. b What should the use of sales data instead of demand imply. RNN N N N H.NM p

Jun 07, 2022
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