Month January February March April May June July August September October November December 2016 2017 2018 $1,468 $1,386 $1,271 727 719 709 778 713 687 Year 715 742 691 707 729 781 704 669 1,524 1,374 1,364 1,064 997 986 741 689 703 709 734 710 787 727 701 768 1,157 1,259 1,256 1,157 2019 $1,144 Appropriate model Regression analysis 666 685 Click here for the Excel Data File c. Which forecasting model is appropriate based on the data for the total U.S. bookstore sales? d. Evaluate a seasonally adjusted trend forecasting model. What is the MAD? (Round your answers to 4 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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Related questions
Question
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
$ Sales
(Millions)
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=
Absolute
Error
Transcribed Image Text: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 $ Sales (Millions) 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= Absolute Error
Month
January
February
March
April
May
June
July
August
September
October
November
December
Year
2016 2017 2018
$1,468 $1,386 $1,271
727
719
709
778
713
687
691
707
729
781
704
669
1,374
997
689
703
709
734
710
787
727
701
1,524
1,364
1,064
986
715
741
742
768
1,256 1,157 1,259
Click here for the Excel Data File
2019
$1,144
666
685
c. Which forecasting model is appropriate based on the data for the total U.S. bookstore sales?
Appropriate model Regression analysis
d. Evaluate a seasonally adjusted trend forecasting model. What is the MAD? (Round your answers to 4 decimal places.)
Transcribed Image Text:Month January February March April May June July August September October November December Year 2016 2017 2018 $1,468 $1,386 $1,271 727 719 709 778 713 687 691 707 729 781 704 669 1,374 997 689 703 709 734 710 787 727 701 1,524 1,364 1,064 986 715 741 742 768 1,256 1,157 1,259 Click here for the Excel Data File 2019 $1,144 666 685 c. Which forecasting model is appropriate based on the data for the total U.S. bookstore sales? Appropriate model Regression analysis d. Evaluate a seasonally adjusted trend forecasting model. What is the MAD? (Round your answers to 4 decimal places.)
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