Production and Operations Analysis, Seventh Edition
7th Edition
ISBN: 9781478623069
Author: Steven Nahmias, Tava Lennon Olsen
Publisher: Waveland Press, Inc.
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Chapter 2.7, Problem 25P
a.
Summary Introduction
To calculate:The value of
Introduction:A moving average (MA) is a tool tomeasure the technical analysis. This average smoothes the price by making a constant updated average price.
b.
Summary Introduction
To calculate:The value of N.
Introduction: A moving average (MA) is a tool tomeasure the technical analysis. This average smoothes the price by making a constant updated average price.
c.
Summary Introduction
To calculate: The value of
Introduction: A moving average (MA) is a tool tomeasure the technical analysis. This average smoothes the price by making a constant updated average price.
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25. Determine the following:
a. The value of a consistent with N = 6 in moving averages.
b. The value of N consistent with a = .05.
c. The value of a that results in a variance of forecast error, o , 10 percent higher
than the variance of each observation, o? (refer to the formulas derived in
Appendix 2-A).
||
The following data are for calculator sales in units at an electronics store over the past nine weeks:
Week
1
2
3
4
5
Obtain the error measures. (Enter your responses rounded to two decimal places.)
CFE
MSE
Sales
Find the coefficient of determination (²).
The coefficient of determination r² = 0. (Enter your response rounded to two decimal places.)
44459
46
51
58
Use trend projection with regression to forecast sales for weeks 10-13. What are the error measures (CFE, MSE, 6, MAD, and MAPE) for this forecasting procedure? How about r²?
Obtain the trend projection with regression forecast for weeks 10-13. (Enter your responses rounded to two decimal places.)
Forecast, Ft
Period
10
11
12
13
Week
6
69809
7
Sales
54
63
53
61
MAD
U
MAPE
%
The following data relate the sales figures of the barin Mark Kaltenbach’s small bed-and-breakfast inn in Portand, tothe number of guests registered that week:WEEK GUESTS BAR SALES1 16 $3302 12 2703 18 3804 14 300
a) Perform a linear regression that relates bar sales to guests (notto time).b) If the forecast is for 20 guests next week, what are the salesexpected to be? PX
Chapter 2 Solutions
Production and Operations Analysis, Seventh Edition
Ch. 2.4 - Prob. 1PCh. 2.4 - Prob. 2PCh. 2.4 - Prob. 3PCh. 2.4 - Prob. 4PCh. 2.4 - Prob. 5PCh. 2.4 - Prob. 6PCh. 2.4 - Prob. 7PCh. 2.4 - Prob. 8PCh. 2.4 - Prob. 9PCh. 2.6 - Prob. 10P
Ch. 2.6 - Prob. 11PCh. 2.6 - Prob. 12PCh. 2.6 - Prob. 13PCh. 2.6 - Prob. 14PCh. 2.6 - Prob. 15PCh. 2.7 - Prob. 16PCh. 2.7 - Prob. 17PCh. 2.7 - Prob. 18PCh. 2.7 - Prob. 19PCh. 2.7 - Prob. 20PCh. 2.7 - Prob. 21PCh. 2.7 - Prob. 22PCh. 2.7 - Prob. 23PCh. 2.7 - Prob. 24PCh. 2.7 - Prob. 25PCh. 2.7 - Prob. 26PCh. 2.7 - Prob. 27PCh. 2.8 - Prob. 28PCh. 2.8 - Prob. 29PCh. 2.8 - Prob. 30PCh. 2.8 - Prob. 31PCh. 2.8 - Prob. 32PCh. 2.9 - Prob. 33PCh. 2.9 - Prob. 34PCh. 2.9 - Prob. 35PCh. 2.9 - Prob. 36PCh. 2.9 - Prob. 37PCh. 2.10 - Prob. 38PCh. 2.10 - Prob. 42PCh. 2.10 - Prob. 43PCh. 2.10 - Prob. 44PCh. 2.10 - Prob. 45PCh. 2 - Prob. 47APCh. 2 - Prob. 48APCh. 2 - Prob. 49APCh. 2 - Prob. 50APCh. 2 - Prob. 51APCh. 2 - Prob. 52APCh. 2 - Prob. 53APCh. 2 - Prob. 54APCh. 2 - Prob. 55APCh. 2 - Prob. 56APCh. 2 - Prob. 57APCh. 2 - Prob. 58AP
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