MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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The following data report total, monthly U.S. book-store sales in millions of dollars from January 2016 to March 2019. (Go to https://www.census.gov/retail/index.html#mrts, find “Monthly Retail Trade Report,” then select “Time Series/Trend Charts” to find the data for the total U.S. bookstore sales.)
Year
Month 2016 2017 2018 2019
January $1,468 $1,386 $1,271 $1,144
February 727 691 709 666
March 719 707 734 685
April 709 729 710
May 778 781 787
June 713 704 727
July 687 669 701
August 1,524 1,374 1,364
September 1,064 997 986
October 715 689 741
November 742 703 768
December 1,256 1,157 1,259
g. Predict book sales for the next 9 months. (Round your answers to 4 decimal places.)
Year Month Forecast Sales
2019 April
2019 May
2019 June
2019 July
2019 August
2019 September
2019 October
2019 November
2019 December
Transcribed Image Text:e. What is the average monthly trend in book-store sales? (Negative amounts should be indicated by a minus sign. Round your
answer to 4 decimal places.)
Average monthly trend in book-store sales
f-1. What are the monthly indexes? (Round your answers to 4 decimal places.)
Month
1
2
3
4
5
6
7
8
9
10
11
12
million dollars per month
Index
Transcribed Image Text:d. Evaluate a seasonally adjusted trend forecasting model. What is the MAD? (Round your answers to 4 decimal places.)
$ Sales
(Millions)
Absolute
Error
Month Number
1
2
3
4
5
6
7
8
9
10
11
12
1
2
3
4
5
6
7
8
9
10
11
12
1
2
3
4
5
6
7
8
9
10
11
12
1
2
3
1,468
727
719
709
778
713
687
1,524
1,064
715
742
1,256
1,386
691
707
729
781
704
669
1,374
997
689
703
1,157
1,271
709
734
710
787
727
701
1,364
986
741
768
1,259
1,144
666
685
Period
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
Trend
Index
Forecast
MAD=-
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