Assume that the data in columns A and B report the new constructions of residential homes, per month, in thousands, from 2015 to 2020 in the state of Oregon. a) Chart the data. Discuss any apparent trend and seasonal patterns. b) Use the "Tahoe Salt" method with linear trend to forecast new constructions for the 12 months of 2021. c) Add your model values and forecast to the data chart. d) Compute the MAD of your model. e) Compute and plot the tracking signal in a new chart. f) Discuss the quality of this model. What is the flagrant flaw? g) Suggest an approach that would yield better results in terms of forecast values, MAD, and tracking signal. An appropriate narrative argument is sufficient (i.e., one or two sentences). You do not need to do calculations for this part.

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Assume that the data in columns A and B report the new constructions of residential homes, per month, in thousands, from 2015 to 2020 in the state of Oregon.

a) Chart the data. Discuss any apparent trend and seasonal patterns.

b) Use the "Tahoe Salt" method with linear trend to forecast new constructions for the 12 months of 2021.

c) Add your model values and forecast to the data chart.

d) Compute the MAD of your model.

e) Compute and plot the tracking signal in a new chart.

f) Discuss the quality of this model. What is the flagrant flaw?

g) Suggest an approach that would yield better results in terms of forecast values, MAD, and tracking signal. An appropriate narrative argument is sufficient (i.e., one or two sentences). You do not need to do calculations for this part.

44 Jul-2018
44
45 Aug-2018
46 Sep-2018
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47 Oct-2018
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48 Nov-2018
40
49 Dec-2018
37
50 Jan-2019
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51 Feb-2019
49
52 Mar-2019
62
53 Apr-2019
54 May-2019
62
58
55 Jun-2019
59
56 Jul-2019
64
57 Aug-2019
58 Sep-2019
62
50
59 Oct-2019
52
60 Nov-2019
50
61 Dec-2019
44
62 Jan-2020
51
63 Feb-2020
56
64 Mar-2020
60
65 Apr-2020
66 May-2020
65
64
67 Jun-2020
63
68 Jul-2020
63
69 Aug-2020
70 Sep-2020
72
61
71 Oct-2020
65
72 Nov-2020
51
73 Dec-2020
47
Transcribed Image Text:44 Jul-2018 44 45 Aug-2018 46 Sep-2018 48 45 47 Oct-2018 44 48 Nov-2018 40 49 Dec-2018 37 50 Jan-2019 45 51 Feb-2019 49 52 Mar-2019 62 53 Apr-2019 54 May-2019 62 58 55 Jun-2019 59 56 Jul-2019 64 57 Aug-2019 58 Sep-2019 62 50 59 Oct-2019 52 60 Nov-2019 50 61 Dec-2019 44 62 Jan-2020 51 63 Feb-2020 56 64 Mar-2020 60 65 Apr-2020 66 May-2020 65 64 67 Jun-2020 63 68 Jul-2020 63 69 Aug-2020 70 Sep-2020 72 61 71 Oct-2020 65 72 Nov-2020 51 73 Dec-2020 47
A
B
New constructions
Month
1
(thousands)
2
Jan-2015
29
Feb-2015
32
4
Mar-2015
41
5 Apr-2015
6 May-2015
44
49
7
Jun-2015
47
Jul-2015
46
9 Aug-2015
10 Sep-2015
11 Oct-2015
47
43
45
12 Nov-2015
34
13 Dec-2015
31
14 Jan-2016
35
Feb-2016
43
16 Mar-2016
46
17 Apr-2016
18 May-2016
46
43
19 Jun-2016
41
20 Jul-2016
44
21 Aug-2016
22 Sep-2016
47
41
23 Oct-2016
40
24 Nov-2016
32
25 Dec-2016
32
26 Jan-2017
34
27 Feb-2017
40
28 Mar-2017
43
29 Apr-2017
30 May-2017
42
43
31 Jun-2017
44
32 Jul-2017
39
33 Aug-2017
34 Sep-2017
40
33
35 Oct-2017
32
36 Nov-2017
31
37 Dec-2017
28
38 Jan-2018
34
39 Feb-2018
29
40 Mar-2018
36
41 Apr-2018
42 May-2018
42
43
43 Jun-2018
44
Transcribed Image Text:A B New constructions Month 1 (thousands) 2 Jan-2015 29 Feb-2015 32 4 Mar-2015 41 5 Apr-2015 6 May-2015 44 49 7 Jun-2015 47 Jul-2015 46 9 Aug-2015 10 Sep-2015 11 Oct-2015 47 43 45 12 Nov-2015 34 13 Dec-2015 31 14 Jan-2016 35 Feb-2016 43 16 Mar-2016 46 17 Apr-2016 18 May-2016 46 43 19 Jun-2016 41 20 Jul-2016 44 21 Aug-2016 22 Sep-2016 47 41 23 Oct-2016 40 24 Nov-2016 32 25 Dec-2016 32 26 Jan-2017 34 27 Feb-2017 40 28 Mar-2017 43 29 Apr-2017 30 May-2017 42 43 31 Jun-2017 44 32 Jul-2017 39 33 Aug-2017 34 Sep-2017 40 33 35 Oct-2017 32 36 Nov-2017 31 37 Dec-2017 28 38 Jan-2018 34 39 Feb-2018 29 40 Mar-2018 36 41 Apr-2018 42 May-2018 42 43 43 Jun-2018 44
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