Hi, could you help solve 4.2 a b c & d. Thanks 9.-0,800= .9014Thus, r = (.9014)² = ,8125, meaning that about 81% of thevariability in sales can be explained by the regression modelwith advertising as the independent variable.101 basmab yhoheuSOTAED bHOBTEWe20red with POM for Windows and/or Excel OM.b) Use a 3-week weighted moving average, with weights of .1, .3,and .6, using .6 for the most recent week. Forecast demand forthe week of October 12.pe Bc) Compute the forecast for the week of October 12 using exponentialsmoothing with a forecast for August 31 of 360 and = .2. Px4.2YEAR8.131110111.2.3.4.5.9.DEMAND5.6.8.126.6.a) Plot the above data on a graph. Do you observe any trend,cycles, or random variations?b) Starting in year 4 and going to year 12, forecast demand usinga 3-year moving average. Plot your forecast on the same graphas the original data.86ga The is the purchasec) Why might this be an forecasting method forb) If the 45 in becast was 42 A of .2 is used.a Starting in year to year 12, forecast demand usinga 3-year moving average with weights of .1, .3, and .6, using 6for the most recent year. Plot this forecast on the same graph.4 and goingusinga) Plcb) Fod) As you compare forecasts with the original data, which seems togive the better results?X (MyLab Operations Managementalso includes a shorter (brief) version of this problem.)• 4.3Refer to Problem 4.2. Develop a forecast for years 2through 12 using exponential smoothing with oa = .4 and a fore-cast for year 1 of 6. Plot your new forecast on a graph with theactual data and the naive forecast. Based on a visual inspection,which forecast is better? P%3DA check-processing center uses exponential smooth-ng to forecast the number of incoming checks each month. Thenumber of checks received in June was 40 million, while the fore-4.4Cast was 42 million. A smoothing constant of .2 is used.a) What is the forecast for July?wny might this be an inappropriate forecasting method forthis situation? PXthe forecast for August?UTLarbondale Hospital is considering the purchasevill rest partly on the antici-ven during the

A) On observing, it is concluded that it is a cyclic trend as the demand depicts an increase and…

4.2 2 3. 4 6. 7 8. 6. 10 11 YEAR 1 7 9. 9. 13 8. 12 13 6. 11 7 DEMAND a) Plot the above data on a graph. Do you observe any trend, cycles, or random variations? b) Starting in year 4 and going to year 12, forecast demand using a 3-year moving average. Plot your forecast on the same graph as the original data. 08.0 5sVI bns III

4.2 2 3. 4 6. 7 8. 6. 10 11 YEAR 1 7 9. 9. 13 8. 12 13 6. 11 7 DEMAND a) Plot the above data on a graph. Do you observe any trend, cycles, or random variations? b) Starting in year 4 and going to year 12, forecast demand using a 3-year moving average. Plot your forecast on the same graph as the original data. 08.0 5sVI bns III

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

Hi,

could you help solve 4.2 a b c & d. Thanks

9.
-0,800
= .9014
Thus, r = (.9014)² = ,8125, meaning that about 81% of the
variability in sales can be explained by the regression model
with advertising as the independent variable.
101 basmab yhoheu
SOTAED bHOBTEWe
20
red with POM for Windows and/or Excel OM.
b) Use a 3-week weighted moving average, with weights of .1, .3,
and .6, using .6 for the most recent week. Forecast demand for
the week of October 12.
pe B
c) Compute the forecast for the week of October 12 using exponential
smoothing with a forecast for August 31 of 360 and = .2. Px
4.2
YEAR
8.
13
11
10
11
1.
2.
3.
4.
5.
9.
DEMAND
5.
6.
8.
12
6.
6.
a) Plot the above data on a graph. Do you observe any trend,
cycles, or random variations?
b) Starting in year 4 and going to year 12, forecast demand using
a 3-year moving average. Plot your forecast on the same graph
as the original data.
86
ga

The is the purchase
c) Why might this be an forecasting method for
b) If the 45 in be
cast was 42 A of .2 is used.
a Starting in year to year 12, forecast demand using
a 3-year moving average with weights of .1, .3, and .6, using 6
for the most recent year. Plot this forecast on the same graph.
4 and going
using
a) Plc
b) Fo
d) As you compare forecasts with the original data, which seems to
give the better results?X (MyLab Operations Management
also includes a shorter (brief) version of this problem.)
• 4.3
Refer to Problem 4.2. Develop a forecast for years 2
through 12 using exponential smoothing with oa = .4 and a fore-
cast for year 1 of 6. Plot your new forecast on a graph with the
actual data and the naive forecast. Based on a visual inspection,
which forecast is better? P
%3D
A check-processing center uses exponential smooth-
ng to forecast the number of incoming checks each month. The
number of checks received in June was 40 million, while the fore-
4.4
Cast was 42 million. A smoothing constant of .2 is used.
a) What is the forecast for July?
wny might this be an inappropriate forecasting method for
this situation? PX
the forecast for August?
UTLarbondale Hospital is considering the purchase
vill rest partly on the antici-
ven during the

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