Use the Least Square Method to determine the forecast for Week 19. 1. The Weekly Demand for a certain commodity has been recorded as follows:Week12345789Demand 80014001000150015001300180017001300Week101112131415161718Demand 170015002300230020002000210022002300

Answered: Image /qna-images/answer/0c2e192e-493b-46be-bd43-0704d4cf0178.jpg

1. The Weekly Demand for a certain commodity has been recorded as follows: Week 1 2 4 6 7 8 9 Demand 800 1400 1000 1500 1500 1300 1800 1700 1300 Week 10 11 12 13 14 15 16 17 18 Demand 1700 1500 2300 2300 2000 2000 2100 2200 2300

1. The Weekly Demand for a certain commodity has been recorded as follows: Week 1 2 4 6 7 8 9 Demand 800 1400 1000 1500 1500 1300 1800 1700 1300 Week 10 11 12 13 14 15 16 17 18 Demand 1700 1500 2300 2300 2000 2000 2100 2200 2300

Engineering Fundamentals: An Introduction to Engineering (MindTap Course List)

5th Edition

ISBN:9781305084766

Author:Saeed Moaveni

Publisher:Saeed Moaveni

Chapter11: Temperature And Temperature- Related Variables In Engineering

Section: Chapter Questions

Problem 26P

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Concept explainers

Probability, risk and uncertainty analysis for hydrological design

It gives a framework that is financially critical for finding the exceptional designs of hydrological systems with a reduced cost in total inclusive of the project cost and the disaster mitigation cost. But there would be hardly any assessment of a decent quality damage function. Hence, errors in demonstrating the hydrologic events, incorrect model parameters, and so on may occur. Here, we will discuss a specific hydrological design that of a detention basin for studying and understanding the risk-based procedure, uncertainties, and probability analysis by following a systematic framework.

Question

Use the Least Square Method to determine the forecast for Week 19.

1. The Weekly Demand for a certain commodity has been recorded as follows:
Week
1
2
3
4
5
7
8
9
Demand 800
1400
1000
1500
1500
1300
1800
1700
1300
Week
10
11
12
13
14
15
16
17
18
Demand 1700
1500
2300
2300
2000
2000
2100
2200
2300

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