Arial 10 v A^ A B В I A ab Merge v Number D18 fx A D G. Exponential Smoothing Forecasting J M Smoothing constant 0.2 Use the area below to draw a lin Time Period Observation Forecast Error Error^2 Formulas 1 83 #N/A 90 8. #N/A #N/A #N/A 3. 85 #N/A #N/A ▼ #N/A 7 #N/A 4 #N/A 86 10 #N/A #N/A 87 #N/A #N/A I #N/A I #N/A I #N/A 11 6. 92 12 #N/A #N/A 91 13 #N/A #N/A 8. 87 14 #N/A #N/A 6. 90 15 #N/A #N/A #N/A 10 91 16 #N/A #N/A #N/A 11 87 17 #N/A #N/A #N/A 12 93 #N/A #N/A #N/A 18 Next period forecast: 13 #N/A h 19 20 MSE #N/A 21 du 22 23 24 and 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 234 567∞

Practical Management Science
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Chapter2: Introduction To Spreadsheet Modeling
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A retail store records customer demand during each sales period. The data has been collected in the Microsoft Excel Online file below. Use the Microsoft Excel Online file below to develop the single exponential smoothing forecast and answer the following questions.

 

Questions

1. What is the forecast for the 13th period based on the single exponential smoothing? Round your answer to two decimal places.

fill in the blank 2

2. What is the MSE for the single exponential smoothing forecast? Round your answer to two decimal places.

fill in the blank 3

3. Choose the correct graph for the single exponential smoothing forecast.

.

 

 

A.
B.
 
 
Arial
10 v
A^
A B
В I
A
ab
Merge v
Number
D18
fx
A
D
G.
Exponential Smoothing Forecasting
J
M
Smoothing constant
0.2
Use the area below to draw a lin
Time
Period
Observation Forecast Error Error^2
Formulas
1
83
#N/A
90
8.
#N/A
#N/A
#N/A
3.
85
#N/A
#N/A
▼ #N/A
7 #N/A
4
#N/A
86
10
#N/A
#N/A
87
#N/A
#N/A
I #N/A
I #N/A
I #N/A
11
6.
92
12
#N/A
#N/A
91
13
#N/A
#N/A
8.
87
14
#N/A
#N/A
6.
90
15
#N/A
#N/A
#N/A
10
91
16
#N/A
#N/A
#N/A
11
87
17
#N/A
#N/A
#N/A
12
93
#N/A
#N/A
#N/A
18
Next period forecast:
13
#N/A
h 19
20
MSE
#N/A
21
du 22
23
24
and 25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
234
567∞
Transcribed Image Text:Arial 10 v A^ A B В I A ab Merge v Number D18 fx A D G. Exponential Smoothing Forecasting J M Smoothing constant 0.2 Use the area below to draw a lin Time Period Observation Forecast Error Error^2 Formulas 1 83 #N/A 90 8. #N/A #N/A #N/A 3. 85 #N/A #N/A ▼ #N/A 7 #N/A 4 #N/A 86 10 #N/A #N/A 87 #N/A #N/A I #N/A I #N/A I #N/A 11 6. 92 12 #N/A #N/A 91 13 #N/A #N/A 8. 87 14 #N/A #N/A 6. 90 15 #N/A #N/A #N/A 10 91 16 #N/A #N/A #N/A 11 87 17 #N/A #N/A #N/A 12 93 #N/A #N/A #N/A 18 Next period forecast: 13 #N/A h 19 20 MSE #N/A 21 du 22 23 24 and 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 234 567∞
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