The following data report total, monthly U.S. book-store sales in millions of dollars from January 2016 to March 2019. Year Month 2016 2017 2018 2019 January 1,448 $ 1,366 $ 1,251 $ 1,124 February 707 671 689 646 March 699 687 714 665 April 689 709 690 May 758 761 767 June 693 684 707 July 667 649 681 August 1,504 1,354 1,344 September 1,044 977 966 October 695 669 721 November 722 683 748 December 1,236 1,137 1,239 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.) Month Number $ Sales (Millions) Period Trend Index Forecast Absolute Error 1 1,448 1 2 707 2 3 699 3 4 689 4 5 758 5 6 693 6 7 667 7 8 1,504 8 9 1,044 9 10 695 10 11 722 11 12 1,236 12 1 1,366 13 2 671 14 3 687 15 4 709 16 5 761 17 6 684 18 7 649 19 8 1,354 20 9 977 21 10 669 22 11 683 23 12 1,137 24 1 1,251 25 2 689 26 3 714 27 4 690 28 5 767 29 6 707 30 7 681 31 8 1,344 32 9 966 33 10 721 34 11 748 35 12 1,239 36 1 1,124 37 2 646 38 3 665 39 MAD= 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.) f-1. What are the monthly indexes? (Round your answers to 4 decimal places.) Month Index 1 2 3 4 5 6 7 8 9 10 11 12 f-2. When are book sales the highest? f-3. When are book sales the lowest? g. Predict book sales for the next 9 months. (Round your answers to 4 decimal places.) Year Month Forecast Series 2019 April 2019 May 2019 June 2019 July 2019 August 2019 September 2019 October 2019 November 2019 December

The following data report total, monthly U.S. book-store sales in millions of dollars from January 2016 to March 2019. Year Month 2016 2017 2018 2019 January 1,448 $ 1,366 $ 1,251 $ 1,124 February 707 671 689 646 March 699 687 714 665 April 689 709 690 May 758 761 767 June 693 684 707 July 667 649 681 August 1,504 1,354 1,344 September 1,044 977 966 October 695 669 721 November 722 683 748 December 1,236 1,137 1,239 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.) Month Number $ Sales (Millions) Period Trend Index Forecast Absolute Error 1 1,448 1 2 707 2 3 699 3 4 689 4 5 758 5 6 693 6 7 667 7 8 1,504 8 9 1,044 9 10 695 10 11 722 11 12 1,236 12 1 1,366 13 2 671 14 3 687 15 4 709 16 5 761 17 6 684 18 7 649 19 8 1,354 20 9 977 21 10 669 22 11 683 23 12 1,137 24 1 1,251 25 2 689 26 3 714 27 4 690 28 5 767 29 6 707 30 7 681 31 8 1,344 32 9 966 33 10 721 34 11 748 35 12 1,239 36 1 1,124 37 2 646 38 3 665 39 MAD= 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.) f-1. What are the monthly indexes? (Round your answers to 4 decimal places.) Month Index 1 2 3 4 5 6 7 8 9 10 11 12 f-2. When are book sales the highest? f-3. When are book sales the lowest? g. Predict book sales for the next 9 months. (Round your answers to 4 decimal places.) Year Month Forecast Series 2019 April 2019 May 2019 June 2019 July 2019 August 2019 September 2019 October 2019 November 2019 December

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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Question

The following data report total, monthly U.S. book-store sales in millions of dollars from January 2016 to March 2019.

	Year
Month	2016		2017		2018		2019
January	1,448	$	1,366	$	1,251	$	1,124
February	707		671		689		646
March	699		687		714		665
April	689		709		690
May	758		761		767
June	693		684		707
July	667		649		681
August	1,504		1,354		1,344
September	1,044		977		966
October	695		669		721
November	722		683		748
December	1,236		1,137		1,239

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.)

Month Number	$ Sales (Millions)	Period	Trend	Index	Forecast	Absolute Error
1	1,448	1
2	707	2
3	699	3
4	689	4
5	758	5
6	693	6
7	667	7
8	1,504	8
9	1,044	9
10	695	10
11	722	11
12	1,236	12
1	1,366	13
2	671	14
3	687	15
4	709	16
5	761	17
6	684	18
7	649	19
8	1,354	20
9	977	21
10	669	22
11	683	23
12	1,137	24
1	1,251	25
2	689	26
3	714	27
4	690	28
5	767	29
6	707	30
7	681	31
8	1,344	32
9	966	33
10	721	34
11	748	35
12	1,239	36
1	1,124	37
2	646	38
3	665	39
					MAD=

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.)

f-1. What are the monthly indexes? (Round your answers to 4 decimal places.)

Month	Index
1
2
3
4
5
6
7
8
9
10
11
12

f-2. When are book sales the highest?

f-3. When are book sales the lowest?

g. Predict book sales for the next 9 months. (Round your answers to 4 decimal places.)

Year	Month	Forecast Series
2019	April
2019	May
2019	June
2019	July
2019	August
2019	September
2019	October
2019	November
2019	December

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