Predict orders for the following day for each of the products using an appropriate naive method.
Predict orders for the following day for each of the products using an appropriate naive method.
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...
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Question
A commercial bakery has recorded sales (in dozens) for three products, as shown below:
Day | Blueberry Muffins | Cinnamon Buns | Cupcakes |
1 | 52 | 16 | 68 |
2 | 54 | 15 | 32 |
3 | 53 | 17 | 36 |
4 | 51 | 17 | 71 |
5 | 58 | 20 | 44 |
6 | 51 | 21 | 39 |
7 | 53 | 25 | 38 |
8 | 56 | 22 | 69 |
9 | 49 | 26 | 36 |
10 | 51 | 28 | 36 |
11 | 56 | 29 | 33 |
12 | 52 | 29 | 73 |
13 | 55 | 30 | 39 |
14 | 51 | 31 | 36 |
15 | 55 | 33 | 31 |
Click here for the Excel Data File
a. Predict orders for the following day for each of the products using an appropriate naive method.

Transcribed Image Text:Blueberry Muffin
Cinnamon Buns
Cupcakes
: The
: The
: The
forecast is
cast is
cast is
basic naive
trend-adjusted naive
seasonal-adjusted naive

Transcribed Image Text:a. Predict orders for the following day for each of the products using an appropriate nalve method.
Blueberry Muffin
Cinnamon Buns
Cupcakes
The
The
The
forecast is
forecast is
forecast is
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