The manager of a trendy downtown café in Columbus, Ohio, collects weekly data on the number of customers it serves. A port of the data is shown in the accompanying table. Week 2 1 52 Customers 925 977 53 1338 pictureClick here for the Excel Data File a. Use the simple exponential smoothing technique with a = 0.2 to make a forecast for Week 53. (Do not round intermediate calculations. Round final answer to 2 decimal places.) b. Use the simple exponential smoothing technique with a = 0.4 to make a forecast for Week 53. (Do not round intermediate calculations. Round final answer to 2 decimal places.)
The manager of a trendy downtown café in Columbus, Ohio, collects weekly data on the number of customers it serves. A port of the data is shown in the accompanying table. Week 2 1 52 Customers 925 977 53 1338 pictureClick here for the Excel Data File a. Use the simple exponential smoothing technique with a = 0.2 to make a forecast for Week 53. (Do not round intermediate calculations. Round final answer to 2 decimal places.) b. Use the simple exponential smoothing technique with a = 0.4 to make a forecast for Week 53. (Do not round intermediate calculations. Round final answer to 2 decimal places.)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:The manager of a trendy downtown café in Columbus, Ohio, collects weekly data on the number of customers it serves. A port
of the data is shown in the accompanying table.
Week
1
2
1
52
ŷ53 =
Customers
925
977
I
1338
pictureClick here for the Excel Data File
a. Use the simple exponential smoothing technique with a = 0.2 to make a forecast for Week 53. (Do not round intermediate
calculations. Round final answer to 2 decimal places.)
Saved
953 =
b. Use the simple exponential smoothing technique with a = 0.4 to make a forecast for Week 53. (Do not round intermediate
calculations. Round final answer to 2 decimal places.)
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Week
1
5
6
7
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
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33
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35
36
37
38
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51
52
Customers
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977
943
937
1024
1098
1048
980
905
818
823
768
777
834
885
837
900
971
966
911
963
988
943
870
877
958
1026
1029
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1181
1171
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1153
1075
1053
997
948
987
930
911
990
964
1069
1165
1229
1158
1210
1297
1279
1353
1338
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