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*Unverified author*

R Software Module

rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Mon, 08 Jun 2009 03:52:25 -0600

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Jun/08/t1244454805abkem4jfsdixbzv.htm/, Retrieved Fri, 10 May 2024 10:40:57 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42280, Retrieved Fri, 10 May 2024 10:40:57 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

236

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Classical Decomposition] [Classical decompo...] [2009-06-01 09:21:25] [693e95349fa8389087a357753937cdd6]
-    D    [Classical Decomposition] [opgave 9 OEFENING...] [2009-06-08 09:52:25] [d41d8cd98f00b204e9800998ecf8427e] [Current]

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Dataseries X:

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Boxplots

3,27
3,27
3,27
3,27
3,27
3,28
3,32
3,34
3,34
3,35
3,35
3,35
3,35
3,35
3,4
3,42
3,42
3,42
3,42
3,42
3,42
3,42
3,42
3,42
3,42
3,42
3,43
3,47
3,51
3,52
3,52
3,52
3,52
3,52
3,52
3,52
3,52
3,52
3,58
3,6
3,61
3,61
3,61
3,63
3,68
3,69
3,69
3,69
3,69
3,69
3,69
3,69
3,69
3,78
3,79
3,79
3,8
3,8
3,8
3,8
3,81
3,95
3,99
4
4,06
4,16
4,19
4,2
4,2
4,2
4,2
4,2
4,23
4,38
4,43
4,44
4,44
4,44
4,44
4,44
4,45
4,45
4,45
4,45
4,45
4,45
4,45
4,45
4,46
4,46
4,46
4,48
4,58
4,67
4,68
4,68
4,69
4,69
4,69
4,69
4,69
4,69
4,69
4,73
4,78
4,79
4,79
4,8
4,8
4,81
5,16
5,26
5,29
5,29
5,29
5,3
5,3
5,3
5,3
5,3
5,3
5,3
5,3
5,35
5,44
5,47
5,47
5,48
5,48
5,48
5,48

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42280&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42280&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42280&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	3.27	NA	NA	-0.0419907407407408	NA
2	3.27	NA	NA	-0.0268518518518519	NA
3	3.27	NA	NA	0.0172222222222222	NA
4	3.27	NA	NA	0.0213425925925926	NA
5	3.27	NA	NA	0.0199537037037037	NA
6	3.28	NA	NA	0.0241203703703703	NA
7	3.32	3.32050925925926	3.31	0.0105092592592595	-0.000509259259259043
8	3.34	3.32023148148148	3.31666666666667	0.00356481481481506	0.0197685185185179
9	3.34	3.33560185185185	3.32541666666667	0.0101851851851853	0.00439814814814765
10	3.35	3.34175925925926	3.33708333333333	0.00467592592592595	0.00824074074074055
11	3.35	3.33708333333333	3.34958333333333	-0.0125000000000002	0.0129166666666665
12	3.35	3.33143518518519	3.36166666666667	-0.0302314814814816	0.0185648148148143
13	3.35	3.32967592592593	3.37166666666667	-0.0419907407407408	0.020324074074074
14	3.35	3.35231481481481	3.37916666666667	-0.0268518518518519	-0.00231481481481488
15	3.4	3.40305555555556	3.38583333333333	0.0172222222222222	-0.00305555555555603
16	3.42	3.41342592592593	3.39208333333333	0.0213425925925926	0.00657407407407407
17	3.42	3.41787037037037	3.39791666666667	0.0199537037037037	0.00212962962962937
18	3.42	3.42787037037037	3.40375	0.0241203703703703	-0.00787037037037042
19	3.42	3.42009259259259	3.40958333333333	0.0105092592592595	-9.25925925927551e-05
20	3.42	3.41898148148148	3.41541666666667	0.00356481481481506	0.00101851851851809
21	3.42	3.42976851851852	3.41958333333333	0.0101851851851853	-0.009768518518519
22	3.42	3.42759259259259	3.42291666666667	0.00467592592592595	-0.00759259259259304
23	3.42	3.41625	3.42875	-0.0125000000000002	0.0037499999999997
24	3.42	3.40643518518519	3.43666666666667	-0.0302314814814816	0.0135648148148144
25	3.42	3.40300925925926	3.445	-0.0419907407407408	0.0169907407407406
26	3.42	3.42648148148148	3.45333333333333	-0.0268518518518519	-0.0064814814814822
27	3.43	3.47888888888889	3.46166666666667	0.0172222222222222	-0.0488888888888894
28	3.47	3.49134259259259	3.47	0.0213425925925926	-0.0213425925925930
29	3.51	3.49828703703704	3.47833333333333	0.0199537037037037	0.0117129629629620
30	3.52	3.51078703703704	3.48666666666667	0.0241203703703703	0.00921296296296248
31	3.52	3.50550925925926	3.495	0.0105092592592595	0.0144907407407402
32	3.52	3.50689814814815	3.50333333333333	0.00356481481481506	0.0131018518518511
33	3.52	3.52393518518519	3.51375	0.0101851851851853	-0.0039351851851861
34	3.52	3.53009259259259	3.52541666666667	0.00467592592592595	-0.0100925925925934
35	3.52	3.5225	3.535	-0.0125000000000002	-0.00250000000000083
36	3.52	3.51268518518519	3.54291666666667	-0.0302314814814816	0.00731481481481433
37	3.52	3.50842592592593	3.55041666666667	-0.0419907407407408	0.0115740740740740
38	3.52	3.53189814814815	3.55875	-0.0268518518518519	-0.0118981481481484
39	3.58	3.58722222222222	3.57	0.0172222222222222	-0.00722222222222246
40	3.6	3.60509259259259	3.58375	0.0213425925925926	-0.00509259259259265
41	3.61	3.61787037037037	3.59791666666667	0.0199537037037037	-0.00787037037037042
42	3.61	3.63620370370370	3.61208333333333	0.0241203703703703	-0.0262037037037035
43	3.61	3.63675925925926	3.62625	0.0105092592592595	-0.0267592592592591
44	3.63	3.64398148148148	3.64041666666667	0.00356481481481506	-0.0139814814814816
45	3.68	3.66226851851852	3.65208333333333	0.0101851851851853	0.0177314814814813
46	3.69	3.66509259259259	3.66041666666667	0.00467592592592595	0.0249074074074072
47	3.69	3.655	3.6675	-0.0125000000000002	0.0349999999999997
48	3.69	3.64768518518519	3.67791666666667	-0.0302314814814816	0.042314814814814
49	3.69	3.65050925925926	3.6925	-0.0419907407407408	0.0394907407407401
50	3.69	3.67981481481482	3.70666666666667	-0.0268518518518519	0.0101851851851844
51	3.69	3.73555555555556	3.71833333333333	0.0172222222222222	-0.0455555555555565
52	3.69	3.74925925925926	3.72791666666667	0.0213425925925926	-0.0592592592592598
53	3.69	3.75703703703704	3.73708333333333	0.0199537037037037	-0.0670370370370379
54	3.78	3.77037037037037	3.74625	0.0241203703703703	0.00962962962962877
55	3.79	3.76634259259259	3.75583333333333	0.0105092592592595	0.0236574074074070
56	3.79	3.77523148148148	3.77166666666667	0.00356481481481506	0.0147685185185180
57	3.8	3.80518518518519	3.795	0.0101851851851853	-0.00518518518518585
58	3.8	3.82509259259259	3.82041666666667	0.00467592592592595	-0.0250925925925927
59	3.8	3.83625	3.84875	-0.0125000000000002	-0.0362499999999999
60	3.8	3.84976851851852	3.88	-0.0302314814814816	-0.0497685185185177
61	3.81	3.87050925925926	3.9125	-0.0419907407407408	-0.0605092592592578
62	3.95	3.91939814814815	3.94625	-0.0268518518518519	0.0306018518518534
63	3.99	3.99722222222222	3.98	0.0172222222222222	-0.00722222222222069
64	4	4.03467592592593	4.01333333333333	0.0213425925925926	-0.0346759259259253
65	4.06	4.06662037037037	4.04666666666667	0.0199537037037037	-0.00662037037036978
66	4.16	4.10412037037037	4.08	0.0241203703703703	0.0558796296296293
67	4.19	4.12467592592593	4.11416666666667	0.0105092592592595	0.0653240740740744
68	4.2	4.15314814814815	4.14958333333333	0.00356481481481506	0.0468518518518515
69	4.2	4.19601851851852	4.18583333333333	0.0101851851851853	0.00398148148148181
70	4.2	4.22717592592593	4.2225	0.00467592592592595	-0.0271759259259259
71	4.2	4.24416666666667	4.25666666666667	-0.0125000000000002	-0.0441666666666665
72	4.2	4.25393518518519	4.28416666666667	-0.0302314814814816	-0.0539351851851855
73	4.23	4.26425925925926	4.30625	-0.0419907407407408	-0.034259259259259
74	4.38	4.29981481481482	4.32666666666667	-0.0268518518518519	0.0801851851851847
75	4.43	4.36430555555556	4.34708333333333	0.0172222222222222	0.0656944444444445
76	4.44	4.38925925925926	4.36791666666667	0.0213425925925926	0.050740740740741
77	4.44	4.4087037037037	4.38875	0.0199537037037037	0.0312962962962970
78	4.44	4.43370370370370	4.40958333333333	0.0241203703703703	0.0062962962962958
79	4.44	4.43967592592593	4.42916666666667	0.0105092592592595	0.000324074074073977
80	4.44	4.44481481481482	4.44125	0.00356481481481506	-0.00481481481481527
81	4.45	4.45518518518519	4.445	0.0101851851851853	-0.0051851851851854
82	4.45	4.45092592592593	4.44625	0.00467592592592595	-0.000925925925925775
83	4.45	4.435	4.4475	-0.0125000000000002	0.0149999999999997
84	4.45	4.41893518518519	4.44916666666667	-0.0302314814814816	0.0310648148148145
85	4.45	4.40884259259259	4.45083333333333	-0.0419907407407408	0.0411574074074066
86	4.45	4.42648148148148	4.45333333333333	-0.0268518518518519	0.0235185185185181
87	4.45	4.47763888888889	4.46041666666667	0.0172222222222222	-0.0276388888888901
88	4.45	4.49634259259259	4.475	0.0213425925925926	-0.0463425925925938
89	4.46	4.51370370370370	4.49375	0.0199537037037037	-0.0537037037037047
90	4.46	4.53703703703704	4.51291666666667	0.0241203703703703	-0.0770370370370381
91	4.46	4.54300925925926	4.5325	0.0105092592592595	-0.08300925925926
92	4.48	4.55606481481481	4.5525	0.00356481481481506	-0.0760648148148144
93	4.58	4.58268518518519	4.5725	0.0101851851851853	-0.0026851851851859
94	4.67	4.59717592592593	4.5925	0.00467592592592595	0.0728240740740729
95	4.68	4.59958333333333	4.61208333333333	-0.0125000000000002	0.0804166666666655
96	4.68	4.60101851851852	4.63125	-0.0302314814814816	0.0789814814814811
97	4.69	4.60842592592593	4.65041666666667	-0.0419907407407408	0.0815740740740747
98	4.69	4.64356481481481	4.67041666666667	-0.0268518518518519	0.0464351851851861
99	4.69	4.70638888888889	4.68916666666667	0.0172222222222222	-0.0163888888888879
100	4.69	4.72384259259259	4.7025	0.0213425925925926	-0.0338425925925909
101	4.69	4.73203703703704	4.71208333333333	0.0199537037037037	-0.0420370370370353
102	4.69	4.74578703703704	4.72166666666667	0.0241203703703703	-0.0557870370370361
103	4.69	4.74175925925926	4.73125	0.0105092592592595	-0.0517592592592582
104	4.73	4.74439814814815	4.74083333333333	0.00356481481481506	-0.0143981481481461
105	4.78	4.77560185185185	4.76541666666667	0.0101851851851853	0.00439814814814898
106	4.79	4.81342592592593	4.80875	0.00467592592592595	-0.0234259259259257
107	4.79	4.845	4.8575	-0.0125000000000002	-0.0549999999999997
108	4.8	4.87726851851852	4.9075	-0.0302314814814816	-0.077268518518518
109	4.8	4.91550925925926	4.9575	-0.0419907407407408	-0.115509259259260
110	4.81	4.97939814814815	5.00625	-0.0268518518518519	-0.169398148148149
111	5.16	5.06888888888889	5.05166666666667	0.0172222222222222	0.0911111111111103
112	5.26	5.11592592592593	5.09458333333333	0.0213425925925926	0.144074074074073
113	5.29	5.15703703703704	5.13708333333333	0.0199537037037037	0.132962962962963
114	5.29	5.20328703703704	5.17916666666667	0.0241203703703703	0.0867129629629622
115	5.29	5.23134259259259	5.22083333333333	0.0105092592592595	0.0586574074074084
116	5.3	5.26564814814815	5.26208333333333	0.00356481481481506	0.0343518518518531
117	5.3	5.29851851851852	5.28833333333333	0.0101851851851853	0.00148148148148231
118	5.3	5.30259259259259	5.29791666666666	0.00467592592592595	-0.00259259259259093
119	5.3	5.29541666666667	5.30791666666667	-0.0125000000000002	0.00458333333333449
120	5.3	5.29143518518518	5.32166666666667	-0.0302314814814816	0.0085648148148163
121	5.3	NA	5.33666666666667	NA	NA
122	5.3	NA	5.35166666666666	NA	NA
123	5.3	NA	5.36666666666667	NA	NA
124	5.35	NA	5.38166666666667	NA	NA
125	5.44	NA	5.39666666666667	NA	NA
126	5.47	NA	NA	NA	NA
127	5.47	NA	NA	NA	NA
128	5.48	NA	NA	NA	NA
129	5.48	NA	NA	NA	NA
130	5.48	NA	NA	NA	NA
131	5.48	NA	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 3.27 & NA & NA & -0.0419907407407408 & NA \tabularnewline
2 & 3.27 & NA & NA & -0.0268518518518519 & NA \tabularnewline
3 & 3.27 & NA & NA & 0.0172222222222222 & NA \tabularnewline
4 & 3.27 & NA & NA & 0.0213425925925926 & NA \tabularnewline
5 & 3.27 & NA & NA & 0.0199537037037037 & NA \tabularnewline
6 & 3.28 & NA & NA & 0.0241203703703703 & NA \tabularnewline
7 & 3.32 & 3.32050925925926 & 3.31 & 0.0105092592592595 & -0.000509259259259043 \tabularnewline
8 & 3.34 & 3.32023148148148 & 3.31666666666667 & 0.00356481481481506 & 0.0197685185185179 \tabularnewline
9 & 3.34 & 3.33560185185185 & 3.32541666666667 & 0.0101851851851853 & 0.00439814814814765 \tabularnewline
10 & 3.35 & 3.34175925925926 & 3.33708333333333 & 0.00467592592592595 & 0.00824074074074055 \tabularnewline
11 & 3.35 & 3.33708333333333 & 3.34958333333333 & -0.0125000000000002 & 0.0129166666666665 \tabularnewline
12 & 3.35 & 3.33143518518519 & 3.36166666666667 & -0.0302314814814816 & 0.0185648148148143 \tabularnewline
13 & 3.35 & 3.32967592592593 & 3.37166666666667 & -0.0419907407407408 & 0.020324074074074 \tabularnewline
14 & 3.35 & 3.35231481481481 & 3.37916666666667 & -0.0268518518518519 & -0.00231481481481488 \tabularnewline
15 & 3.4 & 3.40305555555556 & 3.38583333333333 & 0.0172222222222222 & -0.00305555555555603 \tabularnewline
16 & 3.42 & 3.41342592592593 & 3.39208333333333 & 0.0213425925925926 & 0.00657407407407407 \tabularnewline
17 & 3.42 & 3.41787037037037 & 3.39791666666667 & 0.0199537037037037 & 0.00212962962962937 \tabularnewline
18 & 3.42 & 3.42787037037037 & 3.40375 & 0.0241203703703703 & -0.00787037037037042 \tabularnewline
19 & 3.42 & 3.42009259259259 & 3.40958333333333 & 0.0105092592592595 & -9.25925925927551e-05 \tabularnewline
20 & 3.42 & 3.41898148148148 & 3.41541666666667 & 0.00356481481481506 & 0.00101851851851809 \tabularnewline
21 & 3.42 & 3.42976851851852 & 3.41958333333333 & 0.0101851851851853 & -0.009768518518519 \tabularnewline
22 & 3.42 & 3.42759259259259 & 3.42291666666667 & 0.00467592592592595 & -0.00759259259259304 \tabularnewline
23 & 3.42 & 3.41625 & 3.42875 & -0.0125000000000002 & 0.0037499999999997 \tabularnewline
24 & 3.42 & 3.40643518518519 & 3.43666666666667 & -0.0302314814814816 & 0.0135648148148144 \tabularnewline
25 & 3.42 & 3.40300925925926 & 3.445 & -0.0419907407407408 & 0.0169907407407406 \tabularnewline
26 & 3.42 & 3.42648148148148 & 3.45333333333333 & -0.0268518518518519 & -0.0064814814814822 \tabularnewline
27 & 3.43 & 3.47888888888889 & 3.46166666666667 & 0.0172222222222222 & -0.0488888888888894 \tabularnewline
28 & 3.47 & 3.49134259259259 & 3.47 & 0.0213425925925926 & -0.0213425925925930 \tabularnewline
29 & 3.51 & 3.49828703703704 & 3.47833333333333 & 0.0199537037037037 & 0.0117129629629620 \tabularnewline
30 & 3.52 & 3.51078703703704 & 3.48666666666667 & 0.0241203703703703 & 0.00921296296296248 \tabularnewline
31 & 3.52 & 3.50550925925926 & 3.495 & 0.0105092592592595 & 0.0144907407407402 \tabularnewline
32 & 3.52 & 3.50689814814815 & 3.50333333333333 & 0.00356481481481506 & 0.0131018518518511 \tabularnewline
33 & 3.52 & 3.52393518518519 & 3.51375 & 0.0101851851851853 & -0.0039351851851861 \tabularnewline
34 & 3.52 & 3.53009259259259 & 3.52541666666667 & 0.00467592592592595 & -0.0100925925925934 \tabularnewline
35 & 3.52 & 3.5225 & 3.535 & -0.0125000000000002 & -0.00250000000000083 \tabularnewline
36 & 3.52 & 3.51268518518519 & 3.54291666666667 & -0.0302314814814816 & 0.00731481481481433 \tabularnewline
37 & 3.52 & 3.50842592592593 & 3.55041666666667 & -0.0419907407407408 & 0.0115740740740740 \tabularnewline
38 & 3.52 & 3.53189814814815 & 3.55875 & -0.0268518518518519 & -0.0118981481481484 \tabularnewline
39 & 3.58 & 3.58722222222222 & 3.57 & 0.0172222222222222 & -0.00722222222222246 \tabularnewline
40 & 3.6 & 3.60509259259259 & 3.58375 & 0.0213425925925926 & -0.00509259259259265 \tabularnewline
41 & 3.61 & 3.61787037037037 & 3.59791666666667 & 0.0199537037037037 & -0.00787037037037042 \tabularnewline
42 & 3.61 & 3.63620370370370 & 3.61208333333333 & 0.0241203703703703 & -0.0262037037037035 \tabularnewline
43 & 3.61 & 3.63675925925926 & 3.62625 & 0.0105092592592595 & -0.0267592592592591 \tabularnewline
44 & 3.63 & 3.64398148148148 & 3.64041666666667 & 0.00356481481481506 & -0.0139814814814816 \tabularnewline
45 & 3.68 & 3.66226851851852 & 3.65208333333333 & 0.0101851851851853 & 0.0177314814814813 \tabularnewline
46 & 3.69 & 3.66509259259259 & 3.66041666666667 & 0.00467592592592595 & 0.0249074074074072 \tabularnewline
47 & 3.69 & 3.655 & 3.6675 & -0.0125000000000002 & 0.0349999999999997 \tabularnewline
48 & 3.69 & 3.64768518518519 & 3.67791666666667 & -0.0302314814814816 & 0.042314814814814 \tabularnewline
49 & 3.69 & 3.65050925925926 & 3.6925 & -0.0419907407407408 & 0.0394907407407401 \tabularnewline
50 & 3.69 & 3.67981481481482 & 3.70666666666667 & -0.0268518518518519 & 0.0101851851851844 \tabularnewline
51 & 3.69 & 3.73555555555556 & 3.71833333333333 & 0.0172222222222222 & -0.0455555555555565 \tabularnewline
52 & 3.69 & 3.74925925925926 & 3.72791666666667 & 0.0213425925925926 & -0.0592592592592598 \tabularnewline
53 & 3.69 & 3.75703703703704 & 3.73708333333333 & 0.0199537037037037 & -0.0670370370370379 \tabularnewline
54 & 3.78 & 3.77037037037037 & 3.74625 & 0.0241203703703703 & 0.00962962962962877 \tabularnewline
55 & 3.79 & 3.76634259259259 & 3.75583333333333 & 0.0105092592592595 & 0.0236574074074070 \tabularnewline
56 & 3.79 & 3.77523148148148 & 3.77166666666667 & 0.00356481481481506 & 0.0147685185185180 \tabularnewline
57 & 3.8 & 3.80518518518519 & 3.795 & 0.0101851851851853 & -0.00518518518518585 \tabularnewline
58 & 3.8 & 3.82509259259259 & 3.82041666666667 & 0.00467592592592595 & -0.0250925925925927 \tabularnewline
59 & 3.8 & 3.83625 & 3.84875 & -0.0125000000000002 & -0.0362499999999999 \tabularnewline
60 & 3.8 & 3.84976851851852 & 3.88 & -0.0302314814814816 & -0.0497685185185177 \tabularnewline
61 & 3.81 & 3.87050925925926 & 3.9125 & -0.0419907407407408 & -0.0605092592592578 \tabularnewline
62 & 3.95 & 3.91939814814815 & 3.94625 & -0.0268518518518519 & 0.0306018518518534 \tabularnewline
63 & 3.99 & 3.99722222222222 & 3.98 & 0.0172222222222222 & -0.00722222222222069 \tabularnewline
64 & 4 & 4.03467592592593 & 4.01333333333333 & 0.0213425925925926 & -0.0346759259259253 \tabularnewline
65 & 4.06 & 4.06662037037037 & 4.04666666666667 & 0.0199537037037037 & -0.00662037037036978 \tabularnewline
66 & 4.16 & 4.10412037037037 & 4.08 & 0.0241203703703703 & 0.0558796296296293 \tabularnewline
67 & 4.19 & 4.12467592592593 & 4.11416666666667 & 0.0105092592592595 & 0.0653240740740744 \tabularnewline
68 & 4.2 & 4.15314814814815 & 4.14958333333333 & 0.00356481481481506 & 0.0468518518518515 \tabularnewline
69 & 4.2 & 4.19601851851852 & 4.18583333333333 & 0.0101851851851853 & 0.00398148148148181 \tabularnewline
70 & 4.2 & 4.22717592592593 & 4.2225 & 0.00467592592592595 & -0.0271759259259259 \tabularnewline
71 & 4.2 & 4.24416666666667 & 4.25666666666667 & -0.0125000000000002 & -0.0441666666666665 \tabularnewline
72 & 4.2 & 4.25393518518519 & 4.28416666666667 & -0.0302314814814816 & -0.0539351851851855 \tabularnewline
73 & 4.23 & 4.26425925925926 & 4.30625 & -0.0419907407407408 & -0.034259259259259 \tabularnewline
74 & 4.38 & 4.29981481481482 & 4.32666666666667 & -0.0268518518518519 & 0.0801851851851847 \tabularnewline
75 & 4.43 & 4.36430555555556 & 4.34708333333333 & 0.0172222222222222 & 0.0656944444444445 \tabularnewline
76 & 4.44 & 4.38925925925926 & 4.36791666666667 & 0.0213425925925926 & 0.050740740740741 \tabularnewline
77 & 4.44 & 4.4087037037037 & 4.38875 & 0.0199537037037037 & 0.0312962962962970 \tabularnewline
78 & 4.44 & 4.43370370370370 & 4.40958333333333 & 0.0241203703703703 & 0.0062962962962958 \tabularnewline
79 & 4.44 & 4.43967592592593 & 4.42916666666667 & 0.0105092592592595 & 0.000324074074073977 \tabularnewline
80 & 4.44 & 4.44481481481482 & 4.44125 & 0.00356481481481506 & -0.00481481481481527 \tabularnewline
81 & 4.45 & 4.45518518518519 & 4.445 & 0.0101851851851853 & -0.0051851851851854 \tabularnewline
82 & 4.45 & 4.45092592592593 & 4.44625 & 0.00467592592592595 & -0.000925925925925775 \tabularnewline
83 & 4.45 & 4.435 & 4.4475 & -0.0125000000000002 & 0.0149999999999997 \tabularnewline
84 & 4.45 & 4.41893518518519 & 4.44916666666667 & -0.0302314814814816 & 0.0310648148148145 \tabularnewline
85 & 4.45 & 4.40884259259259 & 4.45083333333333 & -0.0419907407407408 & 0.0411574074074066 \tabularnewline
86 & 4.45 & 4.42648148148148 & 4.45333333333333 & -0.0268518518518519 & 0.0235185185185181 \tabularnewline
87 & 4.45 & 4.47763888888889 & 4.46041666666667 & 0.0172222222222222 & -0.0276388888888901 \tabularnewline
88 & 4.45 & 4.49634259259259 & 4.475 & 0.0213425925925926 & -0.0463425925925938 \tabularnewline
89 & 4.46 & 4.51370370370370 & 4.49375 & 0.0199537037037037 & -0.0537037037037047 \tabularnewline
90 & 4.46 & 4.53703703703704 & 4.51291666666667 & 0.0241203703703703 & -0.0770370370370381 \tabularnewline
91 & 4.46 & 4.54300925925926 & 4.5325 & 0.0105092592592595 & -0.08300925925926 \tabularnewline
92 & 4.48 & 4.55606481481481 & 4.5525 & 0.00356481481481506 & -0.0760648148148144 \tabularnewline
93 & 4.58 & 4.58268518518519 & 4.5725 & 0.0101851851851853 & -0.0026851851851859 \tabularnewline
94 & 4.67 & 4.59717592592593 & 4.5925 & 0.00467592592592595 & 0.0728240740740729 \tabularnewline
95 & 4.68 & 4.59958333333333 & 4.61208333333333 & -0.0125000000000002 & 0.0804166666666655 \tabularnewline
96 & 4.68 & 4.60101851851852 & 4.63125 & -0.0302314814814816 & 0.0789814814814811 \tabularnewline
97 & 4.69 & 4.60842592592593 & 4.65041666666667 & -0.0419907407407408 & 0.0815740740740747 \tabularnewline
98 & 4.69 & 4.64356481481481 & 4.67041666666667 & -0.0268518518518519 & 0.0464351851851861 \tabularnewline
99 & 4.69 & 4.70638888888889 & 4.68916666666667 & 0.0172222222222222 & -0.0163888888888879 \tabularnewline
100 & 4.69 & 4.72384259259259 & 4.7025 & 0.0213425925925926 & -0.0338425925925909 \tabularnewline
101 & 4.69 & 4.73203703703704 & 4.71208333333333 & 0.0199537037037037 & -0.0420370370370353 \tabularnewline
102 & 4.69 & 4.74578703703704 & 4.72166666666667 & 0.0241203703703703 & -0.0557870370370361 \tabularnewline
103 & 4.69 & 4.74175925925926 & 4.73125 & 0.0105092592592595 & -0.0517592592592582 \tabularnewline
104 & 4.73 & 4.74439814814815 & 4.74083333333333 & 0.00356481481481506 & -0.0143981481481461 \tabularnewline
105 & 4.78 & 4.77560185185185 & 4.76541666666667 & 0.0101851851851853 & 0.00439814814814898 \tabularnewline
106 & 4.79 & 4.81342592592593 & 4.80875 & 0.00467592592592595 & -0.0234259259259257 \tabularnewline
107 & 4.79 & 4.845 & 4.8575 & -0.0125000000000002 & -0.0549999999999997 \tabularnewline
108 & 4.8 & 4.87726851851852 & 4.9075 & -0.0302314814814816 & -0.077268518518518 \tabularnewline
109 & 4.8 & 4.91550925925926 & 4.9575 & -0.0419907407407408 & -0.115509259259260 \tabularnewline
110 & 4.81 & 4.97939814814815 & 5.00625 & -0.0268518518518519 & -0.169398148148149 \tabularnewline
111 & 5.16 & 5.06888888888889 & 5.05166666666667 & 0.0172222222222222 & 0.0911111111111103 \tabularnewline
112 & 5.26 & 5.11592592592593 & 5.09458333333333 & 0.0213425925925926 & 0.144074074074073 \tabularnewline
113 & 5.29 & 5.15703703703704 & 5.13708333333333 & 0.0199537037037037 & 0.132962962962963 \tabularnewline
114 & 5.29 & 5.20328703703704 & 5.17916666666667 & 0.0241203703703703 & 0.0867129629629622 \tabularnewline
115 & 5.29 & 5.23134259259259 & 5.22083333333333 & 0.0105092592592595 & 0.0586574074074084 \tabularnewline
116 & 5.3 & 5.26564814814815 & 5.26208333333333 & 0.00356481481481506 & 0.0343518518518531 \tabularnewline
117 & 5.3 & 5.29851851851852 & 5.28833333333333 & 0.0101851851851853 & 0.00148148148148231 \tabularnewline
118 & 5.3 & 5.30259259259259 & 5.29791666666666 & 0.00467592592592595 & -0.00259259259259093 \tabularnewline
119 & 5.3 & 5.29541666666667 & 5.30791666666667 & -0.0125000000000002 & 0.00458333333333449 \tabularnewline
120 & 5.3 & 5.29143518518518 & 5.32166666666667 & -0.0302314814814816 & 0.0085648148148163 \tabularnewline
121 & 5.3 & NA & 5.33666666666667 & NA & NA \tabularnewline
122 & 5.3 & NA & 5.35166666666666 & NA & NA \tabularnewline
123 & 5.3 & NA & 5.36666666666667 & NA & NA \tabularnewline
124 & 5.35 & NA & 5.38166666666667 & NA & NA \tabularnewline
125 & 5.44 & NA & 5.39666666666667 & NA & NA \tabularnewline
126 & 5.47 & NA & NA & NA & NA \tabularnewline
127 & 5.47 & NA & NA & NA & NA \tabularnewline
128 & 5.48 & NA & NA & NA & NA \tabularnewline
129 & 5.48 & NA & NA & NA & NA \tabularnewline
130 & 5.48 & NA & NA & NA & NA \tabularnewline
131 & 5.48 & NA & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42280&T=1

[TABLE]
[ROW][C]Classical Decomposition by Moving Averages[/C][/ROW]
[ROW][C]t[/C][C]Observations[/C][C]Fit[/C][C]Trend[/C][C]Seasonal[/C][C]Random[/C][/ROW]
[ROW][C]1[/C][C]3.27[/C][C]NA[/C][C]NA[/C][C]-0.0419907407407408[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]3.27[/C][C]NA[/C][C]NA[/C][C]-0.0268518518518519[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]3.27[/C][C]NA[/C][C]NA[/C][C]0.0172222222222222[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]3.27[/C][C]NA[/C][C]NA[/C][C]0.0213425925925926[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]3.27[/C][C]NA[/C][C]NA[/C][C]0.0199537037037037[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]3.28[/C][C]NA[/C][C]NA[/C][C]0.0241203703703703[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]3.32[/C][C]3.32050925925926[/C][C]3.31[/C][C]0.0105092592592595[/C][C]-0.000509259259259043[/C][/ROW]
[ROW][C]8[/C][C]3.34[/C][C]3.32023148148148[/C][C]3.31666666666667[/C][C]0.00356481481481506[/C][C]0.0197685185185179[/C][/ROW]
[ROW][C]9[/C][C]3.34[/C][C]3.33560185185185[/C][C]3.32541666666667[/C][C]0.0101851851851853[/C][C]0.00439814814814765[/C][/ROW]
[ROW][C]10[/C][C]3.35[/C][C]3.34175925925926[/C][C]3.33708333333333[/C][C]0.00467592592592595[/C][C]0.00824074074074055[/C][/ROW]
[ROW][C]11[/C][C]3.35[/C][C]3.33708333333333[/C][C]3.34958333333333[/C][C]-0.0125000000000002[/C][C]0.0129166666666665[/C][/ROW]
[ROW][C]12[/C][C]3.35[/C][C]3.33143518518519[/C][C]3.36166666666667[/C][C]-0.0302314814814816[/C][C]0.0185648148148143[/C][/ROW]
[ROW][C]13[/C][C]3.35[/C][C]3.32967592592593[/C][C]3.37166666666667[/C][C]-0.0419907407407408[/C][C]0.020324074074074[/C][/ROW]
[ROW][C]14[/C][C]3.35[/C][C]3.35231481481481[/C][C]3.37916666666667[/C][C]-0.0268518518518519[/C][C]-0.00231481481481488[/C][/ROW]
[ROW][C]15[/C][C]3.4[/C][C]3.40305555555556[/C][C]3.38583333333333[/C][C]0.0172222222222222[/C][C]-0.00305555555555603[/C][/ROW]
[ROW][C]16[/C][C]3.42[/C][C]3.41342592592593[/C][C]3.39208333333333[/C][C]0.0213425925925926[/C][C]0.00657407407407407[/C][/ROW]
[ROW][C]17[/C][C]3.42[/C][C]3.41787037037037[/C][C]3.39791666666667[/C][C]0.0199537037037037[/C][C]0.00212962962962937[/C][/ROW]
[ROW][C]18[/C][C]3.42[/C][C]3.42787037037037[/C][C]3.40375[/C][C]0.0241203703703703[/C][C]-0.00787037037037042[/C][/ROW]
[ROW][C]19[/C][C]3.42[/C][C]3.42009259259259[/C][C]3.40958333333333[/C][C]0.0105092592592595[/C][C]-9.25925925927551e-05[/C][/ROW]
[ROW][C]20[/C][C]3.42[/C][C]3.41898148148148[/C][C]3.41541666666667[/C][C]0.00356481481481506[/C][C]0.00101851851851809[/C][/ROW]
[ROW][C]21[/C][C]3.42[/C][C]3.42976851851852[/C][C]3.41958333333333[/C][C]0.0101851851851853[/C][C]-0.009768518518519[/C][/ROW]
[ROW][C]22[/C][C]3.42[/C][C]3.42759259259259[/C][C]3.42291666666667[/C][C]0.00467592592592595[/C][C]-0.00759259259259304[/C][/ROW]
[ROW][C]23[/C][C]3.42[/C][C]3.41625[/C][C]3.42875[/C][C]-0.0125000000000002[/C][C]0.0037499999999997[/C][/ROW]
[ROW][C]24[/C][C]3.42[/C][C]3.40643518518519[/C][C]3.43666666666667[/C][C]-0.0302314814814816[/C][C]0.0135648148148144[/C][/ROW]
[ROW][C]25[/C][C]3.42[/C][C]3.40300925925926[/C][C]3.445[/C][C]-0.0419907407407408[/C][C]0.0169907407407406[/C][/ROW]
[ROW][C]26[/C][C]3.42[/C][C]3.42648148148148[/C][C]3.45333333333333[/C][C]-0.0268518518518519[/C][C]-0.0064814814814822[/C][/ROW]
[ROW][C]27[/C][C]3.43[/C][C]3.47888888888889[/C][C]3.46166666666667[/C][C]0.0172222222222222[/C][C]-0.0488888888888894[/C][/ROW]
[ROW][C]28[/C][C]3.47[/C][C]3.49134259259259[/C][C]3.47[/C][C]0.0213425925925926[/C][C]-0.0213425925925930[/C][/ROW]
[ROW][C]29[/C][C]3.51[/C][C]3.49828703703704[/C][C]3.47833333333333[/C][C]0.0199537037037037[/C][C]0.0117129629629620[/C][/ROW]
[ROW][C]30[/C][C]3.52[/C][C]3.51078703703704[/C][C]3.48666666666667[/C][C]0.0241203703703703[/C][C]0.00921296296296248[/C][/ROW]
[ROW][C]31[/C][C]3.52[/C][C]3.50550925925926[/C][C]3.495[/C][C]0.0105092592592595[/C][C]0.0144907407407402[/C][/ROW]
[ROW][C]32[/C][C]3.52[/C][C]3.50689814814815[/C][C]3.50333333333333[/C][C]0.00356481481481506[/C][C]0.0131018518518511[/C][/ROW]
[ROW][C]33[/C][C]3.52[/C][C]3.52393518518519[/C][C]3.51375[/C][C]0.0101851851851853[/C][C]-0.0039351851851861[/C][/ROW]
[ROW][C]34[/C][C]3.52[/C][C]3.53009259259259[/C][C]3.52541666666667[/C][C]0.00467592592592595[/C][C]-0.0100925925925934[/C][/ROW]
[ROW][C]35[/C][C]3.52[/C][C]3.5225[/C][C]3.535[/C][C]-0.0125000000000002[/C][C]-0.00250000000000083[/C][/ROW]
[ROW][C]36[/C][C]3.52[/C][C]3.51268518518519[/C][C]3.54291666666667[/C][C]-0.0302314814814816[/C][C]0.00731481481481433[/C][/ROW]
[ROW][C]37[/C][C]3.52[/C][C]3.50842592592593[/C][C]3.55041666666667[/C][C]-0.0419907407407408[/C][C]0.0115740740740740[/C][/ROW]
[ROW][C]38[/C][C]3.52[/C][C]3.53189814814815[/C][C]3.55875[/C][C]-0.0268518518518519[/C][C]-0.0118981481481484[/C][/ROW]
[ROW][C]39[/C][C]3.58[/C][C]3.58722222222222[/C][C]3.57[/C][C]0.0172222222222222[/C][C]-0.00722222222222246[/C][/ROW]
[ROW][C]40[/C][C]3.6[/C][C]3.60509259259259[/C][C]3.58375[/C][C]0.0213425925925926[/C][C]-0.00509259259259265[/C][/ROW]
[ROW][C]41[/C][C]3.61[/C][C]3.61787037037037[/C][C]3.59791666666667[/C][C]0.0199537037037037[/C][C]-0.00787037037037042[/C][/ROW]
[ROW][C]42[/C][C]3.61[/C][C]3.63620370370370[/C][C]3.61208333333333[/C][C]0.0241203703703703[/C][C]-0.0262037037037035[/C][/ROW]
[ROW][C]43[/C][C]3.61[/C][C]3.63675925925926[/C][C]3.62625[/C][C]0.0105092592592595[/C][C]-0.0267592592592591[/C][/ROW]
[ROW][C]44[/C][C]3.63[/C][C]3.64398148148148[/C][C]3.64041666666667[/C][C]0.00356481481481506[/C][C]-0.0139814814814816[/C][/ROW]
[ROW][C]45[/C][C]3.68[/C][C]3.66226851851852[/C][C]3.65208333333333[/C][C]0.0101851851851853[/C][C]0.0177314814814813[/C][/ROW]
[ROW][C]46[/C][C]3.69[/C][C]3.66509259259259[/C][C]3.66041666666667[/C][C]0.00467592592592595[/C][C]0.0249074074074072[/C][/ROW]
[ROW][C]47[/C][C]3.69[/C][C]3.655[/C][C]3.6675[/C][C]-0.0125000000000002[/C][C]0.0349999999999997[/C][/ROW]
[ROW][C]48[/C][C]3.69[/C][C]3.64768518518519[/C][C]3.67791666666667[/C][C]-0.0302314814814816[/C][C]0.042314814814814[/C][/ROW]
[ROW][C]49[/C][C]3.69[/C][C]3.65050925925926[/C][C]3.6925[/C][C]-0.0419907407407408[/C][C]0.0394907407407401[/C][/ROW]
[ROW][C]50[/C][C]3.69[/C][C]3.67981481481482[/C][C]3.70666666666667[/C][C]-0.0268518518518519[/C][C]0.0101851851851844[/C][/ROW]
[ROW][C]51[/C][C]3.69[/C][C]3.73555555555556[/C][C]3.71833333333333[/C][C]0.0172222222222222[/C][C]-0.0455555555555565[/C][/ROW]
[ROW][C]52[/C][C]3.69[/C][C]3.74925925925926[/C][C]3.72791666666667[/C][C]0.0213425925925926[/C][C]-0.0592592592592598[/C][/ROW]
[ROW][C]53[/C][C]3.69[/C][C]3.75703703703704[/C][C]3.73708333333333[/C][C]0.0199537037037037[/C][C]-0.0670370370370379[/C][/ROW]
[ROW][C]54[/C][C]3.78[/C][C]3.77037037037037[/C][C]3.74625[/C][C]0.0241203703703703[/C][C]0.00962962962962877[/C][/ROW]
[ROW][C]55[/C][C]3.79[/C][C]3.76634259259259[/C][C]3.75583333333333[/C][C]0.0105092592592595[/C][C]0.0236574074074070[/C][/ROW]
[ROW][C]56[/C][C]3.79[/C][C]3.77523148148148[/C][C]3.77166666666667[/C][C]0.00356481481481506[/C][C]0.0147685185185180[/C][/ROW]
[ROW][C]57[/C][C]3.8[/C][C]3.80518518518519[/C][C]3.795[/C][C]0.0101851851851853[/C][C]-0.00518518518518585[/C][/ROW]
[ROW][C]58[/C][C]3.8[/C][C]3.82509259259259[/C][C]3.82041666666667[/C][C]0.00467592592592595[/C][C]-0.0250925925925927[/C][/ROW]
[ROW][C]59[/C][C]3.8[/C][C]3.83625[/C][C]3.84875[/C][C]-0.0125000000000002[/C][C]-0.0362499999999999[/C][/ROW]
[ROW][C]60[/C][C]3.8[/C][C]3.84976851851852[/C][C]3.88[/C][C]-0.0302314814814816[/C][C]-0.0497685185185177[/C][/ROW]
[ROW][C]61[/C][C]3.81[/C][C]3.87050925925926[/C][C]3.9125[/C][C]-0.0419907407407408[/C][C]-0.0605092592592578[/C][/ROW]
[ROW][C]62[/C][C]3.95[/C][C]3.91939814814815[/C][C]3.94625[/C][C]-0.0268518518518519[/C][C]0.0306018518518534[/C][/ROW]
[ROW][C]63[/C][C]3.99[/C][C]3.99722222222222[/C][C]3.98[/C][C]0.0172222222222222[/C][C]-0.00722222222222069[/C][/ROW]
[ROW][C]64[/C][C]4[/C][C]4.03467592592593[/C][C]4.01333333333333[/C][C]0.0213425925925926[/C][C]-0.0346759259259253[/C][/ROW]
[ROW][C]65[/C][C]4.06[/C][C]4.06662037037037[/C][C]4.04666666666667[/C][C]0.0199537037037037[/C][C]-0.00662037037036978[/C][/ROW]
[ROW][C]66[/C][C]4.16[/C][C]4.10412037037037[/C][C]4.08[/C][C]0.0241203703703703[/C][C]0.0558796296296293[/C][/ROW]
[ROW][C]67[/C][C]4.19[/C][C]4.12467592592593[/C][C]4.11416666666667[/C][C]0.0105092592592595[/C][C]0.0653240740740744[/C][/ROW]
[ROW][C]68[/C][C]4.2[/C][C]4.15314814814815[/C][C]4.14958333333333[/C][C]0.00356481481481506[/C][C]0.0468518518518515[/C][/ROW]
[ROW][C]69[/C][C]4.2[/C][C]4.19601851851852[/C][C]4.18583333333333[/C][C]0.0101851851851853[/C][C]0.00398148148148181[/C][/ROW]
[ROW][C]70[/C][C]4.2[/C][C]4.22717592592593[/C][C]4.2225[/C][C]0.00467592592592595[/C][C]-0.0271759259259259[/C][/ROW]
[ROW][C]71[/C][C]4.2[/C][C]4.24416666666667[/C][C]4.25666666666667[/C][C]-0.0125000000000002[/C][C]-0.0441666666666665[/C][/ROW]
[ROW][C]72[/C][C]4.2[/C][C]4.25393518518519[/C][C]4.28416666666667[/C][C]-0.0302314814814816[/C][C]-0.0539351851851855[/C][/ROW]
[ROW][C]73[/C][C]4.23[/C][C]4.26425925925926[/C][C]4.30625[/C][C]-0.0419907407407408[/C][C]-0.034259259259259[/C][/ROW]
[ROW][C]74[/C][C]4.38[/C][C]4.29981481481482[/C][C]4.32666666666667[/C][C]-0.0268518518518519[/C][C]0.0801851851851847[/C][/ROW]
[ROW][C]75[/C][C]4.43[/C][C]4.36430555555556[/C][C]4.34708333333333[/C][C]0.0172222222222222[/C][C]0.0656944444444445[/C][/ROW]
[ROW][C]76[/C][C]4.44[/C][C]4.38925925925926[/C][C]4.36791666666667[/C][C]0.0213425925925926[/C][C]0.050740740740741[/C][/ROW]
[ROW][C]77[/C][C]4.44[/C][C]4.4087037037037[/C][C]4.38875[/C][C]0.0199537037037037[/C][C]0.0312962962962970[/C][/ROW]
[ROW][C]78[/C][C]4.44[/C][C]4.43370370370370[/C][C]4.40958333333333[/C][C]0.0241203703703703[/C][C]0.0062962962962958[/C][/ROW]
[ROW][C]79[/C][C]4.44[/C][C]4.43967592592593[/C][C]4.42916666666667[/C][C]0.0105092592592595[/C][C]0.000324074074073977[/C][/ROW]
[ROW][C]80[/C][C]4.44[/C][C]4.44481481481482[/C][C]4.44125[/C][C]0.00356481481481506[/C][C]-0.00481481481481527[/C][/ROW]
[ROW][C]81[/C][C]4.45[/C][C]4.45518518518519[/C][C]4.445[/C][C]0.0101851851851853[/C][C]-0.0051851851851854[/C][/ROW]
[ROW][C]82[/C][C]4.45[/C][C]4.45092592592593[/C][C]4.44625[/C][C]0.00467592592592595[/C][C]-0.000925925925925775[/C][/ROW]
[ROW][C]83[/C][C]4.45[/C][C]4.435[/C][C]4.4475[/C][C]-0.0125000000000002[/C][C]0.0149999999999997[/C][/ROW]
[ROW][C]84[/C][C]4.45[/C][C]4.41893518518519[/C][C]4.44916666666667[/C][C]-0.0302314814814816[/C][C]0.0310648148148145[/C][/ROW]
[ROW][C]85[/C][C]4.45[/C][C]4.40884259259259[/C][C]4.45083333333333[/C][C]-0.0419907407407408[/C][C]0.0411574074074066[/C][/ROW]
[ROW][C]86[/C][C]4.45[/C][C]4.42648148148148[/C][C]4.45333333333333[/C][C]-0.0268518518518519[/C][C]0.0235185185185181[/C][/ROW]
[ROW][C]87[/C][C]4.45[/C][C]4.47763888888889[/C][C]4.46041666666667[/C][C]0.0172222222222222[/C][C]-0.0276388888888901[/C][/ROW]
[ROW][C]88[/C][C]4.45[/C][C]4.49634259259259[/C][C]4.475[/C][C]0.0213425925925926[/C][C]-0.0463425925925938[/C][/ROW]
[ROW][C]89[/C][C]4.46[/C][C]4.51370370370370[/C][C]4.49375[/C][C]0.0199537037037037[/C][C]-0.0537037037037047[/C][/ROW]
[ROW][C]90[/C][C]4.46[/C][C]4.53703703703704[/C][C]4.51291666666667[/C][C]0.0241203703703703[/C][C]-0.0770370370370381[/C][/ROW]
[ROW][C]91[/C][C]4.46[/C][C]4.54300925925926[/C][C]4.5325[/C][C]0.0105092592592595[/C][C]-0.08300925925926[/C][/ROW]
[ROW][C]92[/C][C]4.48[/C][C]4.55606481481481[/C][C]4.5525[/C][C]0.00356481481481506[/C][C]-0.0760648148148144[/C][/ROW]
[ROW][C]93[/C][C]4.58[/C][C]4.58268518518519[/C][C]4.5725[/C][C]0.0101851851851853[/C][C]-0.0026851851851859[/C][/ROW]
[ROW][C]94[/C][C]4.67[/C][C]4.59717592592593[/C][C]4.5925[/C][C]0.00467592592592595[/C][C]0.0728240740740729[/C][/ROW]
[ROW][C]95[/C][C]4.68[/C][C]4.59958333333333[/C][C]4.61208333333333[/C][C]-0.0125000000000002[/C][C]0.0804166666666655[/C][/ROW]
[ROW][C]96[/C][C]4.68[/C][C]4.60101851851852[/C][C]4.63125[/C][C]-0.0302314814814816[/C][C]0.0789814814814811[/C][/ROW]
[ROW][C]97[/C][C]4.69[/C][C]4.60842592592593[/C][C]4.65041666666667[/C][C]-0.0419907407407408[/C][C]0.0815740740740747[/C][/ROW]
[ROW][C]98[/C][C]4.69[/C][C]4.64356481481481[/C][C]4.67041666666667[/C][C]-0.0268518518518519[/C][C]0.0464351851851861[/C][/ROW]
[ROW][C]99[/C][C]4.69[/C][C]4.70638888888889[/C][C]4.68916666666667[/C][C]0.0172222222222222[/C][C]-0.0163888888888879[/C][/ROW]
[ROW][C]100[/C][C]4.69[/C][C]4.72384259259259[/C][C]4.7025[/C][C]0.0213425925925926[/C][C]-0.0338425925925909[/C][/ROW]
[ROW][C]101[/C][C]4.69[/C][C]4.73203703703704[/C][C]4.71208333333333[/C][C]0.0199537037037037[/C][C]-0.0420370370370353[/C][/ROW]
[ROW][C]102[/C][C]4.69[/C][C]4.74578703703704[/C][C]4.72166666666667[/C][C]0.0241203703703703[/C][C]-0.0557870370370361[/C][/ROW]
[ROW][C]103[/C][C]4.69[/C][C]4.74175925925926[/C][C]4.73125[/C][C]0.0105092592592595[/C][C]-0.0517592592592582[/C][/ROW]
[ROW][C]104[/C][C]4.73[/C][C]4.74439814814815[/C][C]4.74083333333333[/C][C]0.00356481481481506[/C][C]-0.0143981481481461[/C][/ROW]
[ROW][C]105[/C][C]4.78[/C][C]4.77560185185185[/C][C]4.76541666666667[/C][C]0.0101851851851853[/C][C]0.00439814814814898[/C][/ROW]
[ROW][C]106[/C][C]4.79[/C][C]4.81342592592593[/C][C]4.80875[/C][C]0.00467592592592595[/C][C]-0.0234259259259257[/C][/ROW]
[ROW][C]107[/C][C]4.79[/C][C]4.845[/C][C]4.8575[/C][C]-0.0125000000000002[/C][C]-0.0549999999999997[/C][/ROW]
[ROW][C]108[/C][C]4.8[/C][C]4.87726851851852[/C][C]4.9075[/C][C]-0.0302314814814816[/C][C]-0.077268518518518[/C][/ROW]
[ROW][C]109[/C][C]4.8[/C][C]4.91550925925926[/C][C]4.9575[/C][C]-0.0419907407407408[/C][C]-0.115509259259260[/C][/ROW]
[ROW][C]110[/C][C]4.81[/C][C]4.97939814814815[/C][C]5.00625[/C][C]-0.0268518518518519[/C][C]-0.169398148148149[/C][/ROW]
[ROW][C]111[/C][C]5.16[/C][C]5.06888888888889[/C][C]5.05166666666667[/C][C]0.0172222222222222[/C][C]0.0911111111111103[/C][/ROW]
[ROW][C]112[/C][C]5.26[/C][C]5.11592592592593[/C][C]5.09458333333333[/C][C]0.0213425925925926[/C][C]0.144074074074073[/C][/ROW]
[ROW][C]113[/C][C]5.29[/C][C]5.15703703703704[/C][C]5.13708333333333[/C][C]0.0199537037037037[/C][C]0.132962962962963[/C][/ROW]
[ROW][C]114[/C][C]5.29[/C][C]5.20328703703704[/C][C]5.17916666666667[/C][C]0.0241203703703703[/C][C]0.0867129629629622[/C][/ROW]
[ROW][C]115[/C][C]5.29[/C][C]5.23134259259259[/C][C]5.22083333333333[/C][C]0.0105092592592595[/C][C]0.0586574074074084[/C][/ROW]
[ROW][C]116[/C][C]5.3[/C][C]5.26564814814815[/C][C]5.26208333333333[/C][C]0.00356481481481506[/C][C]0.0343518518518531[/C][/ROW]
[ROW][C]117[/C][C]5.3[/C][C]5.29851851851852[/C][C]5.28833333333333[/C][C]0.0101851851851853[/C][C]0.00148148148148231[/C][/ROW]
[ROW][C]118[/C][C]5.3[/C][C]5.30259259259259[/C][C]5.29791666666666[/C][C]0.00467592592592595[/C][C]-0.00259259259259093[/C][/ROW]
[ROW][C]119[/C][C]5.3[/C][C]5.29541666666667[/C][C]5.30791666666667[/C][C]-0.0125000000000002[/C][C]0.00458333333333449[/C][/ROW]
[ROW][C]120[/C][C]5.3[/C][C]5.29143518518518[/C][C]5.32166666666667[/C][C]-0.0302314814814816[/C][C]0.0085648148148163[/C][/ROW]
[ROW][C]121[/C][C]5.3[/C][C]NA[/C][C]5.33666666666667[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]122[/C][C]5.3[/C][C]NA[/C][C]5.35166666666666[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]123[/C][C]5.3[/C][C]NA[/C][C]5.36666666666667[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]124[/C][C]5.35[/C][C]NA[/C][C]5.38166666666667[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]125[/C][C]5.44[/C][C]NA[/C][C]5.39666666666667[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]126[/C][C]5.47[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]127[/C][C]5.47[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]128[/C][C]5.48[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]129[/C][C]5.48[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]130[/C][C]5.48[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]131[/C][C]5.48[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42280&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42280&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	3.27	NA	NA	-0.0419907407407408	NA
2	3.27	NA	NA	-0.0268518518518519	NA
3	3.27	NA	NA	0.0172222222222222	NA
4	3.27	NA	NA	0.0213425925925926	NA
5	3.27	NA	NA	0.0199537037037037	NA
6	3.28	NA	NA	0.0241203703703703	NA
7	3.32	3.32050925925926	3.31	0.0105092592592595	-0.000509259259259043
8	3.34	3.32023148148148	3.31666666666667	0.00356481481481506	0.0197685185185179
9	3.34	3.33560185185185	3.32541666666667	0.0101851851851853	0.00439814814814765
10	3.35	3.34175925925926	3.33708333333333	0.00467592592592595	0.00824074074074055
11	3.35	3.33708333333333	3.34958333333333	-0.0125000000000002	0.0129166666666665
12	3.35	3.33143518518519	3.36166666666667	-0.0302314814814816	0.0185648148148143
13	3.35	3.32967592592593	3.37166666666667	-0.0419907407407408	0.020324074074074
14	3.35	3.35231481481481	3.37916666666667	-0.0268518518518519	-0.00231481481481488
15	3.4	3.40305555555556	3.38583333333333	0.0172222222222222	-0.00305555555555603
16	3.42	3.41342592592593	3.39208333333333	0.0213425925925926	0.00657407407407407
17	3.42	3.41787037037037	3.39791666666667	0.0199537037037037	0.00212962962962937
18	3.42	3.42787037037037	3.40375	0.0241203703703703	-0.00787037037037042
19	3.42	3.42009259259259	3.40958333333333	0.0105092592592595	-9.25925925927551e-05
20	3.42	3.41898148148148	3.41541666666667	0.00356481481481506	0.00101851851851809
21	3.42	3.42976851851852	3.41958333333333	0.0101851851851853	-0.009768518518519
22	3.42	3.42759259259259	3.42291666666667	0.00467592592592595	-0.00759259259259304
23	3.42	3.41625	3.42875	-0.0125000000000002	0.0037499999999997
24	3.42	3.40643518518519	3.43666666666667	-0.0302314814814816	0.0135648148148144
25	3.42	3.40300925925926	3.445	-0.0419907407407408	0.0169907407407406
26	3.42	3.42648148148148	3.45333333333333	-0.0268518518518519	-0.0064814814814822
27	3.43	3.47888888888889	3.46166666666667	0.0172222222222222	-0.0488888888888894
28	3.47	3.49134259259259	3.47	0.0213425925925926	-0.0213425925925930
29	3.51	3.49828703703704	3.47833333333333	0.0199537037037037	0.0117129629629620
30	3.52	3.51078703703704	3.48666666666667	0.0241203703703703	0.00921296296296248
31	3.52	3.50550925925926	3.495	0.0105092592592595	0.0144907407407402
32	3.52	3.50689814814815	3.50333333333333	0.00356481481481506	0.0131018518518511
33	3.52	3.52393518518519	3.51375	0.0101851851851853	-0.0039351851851861
34	3.52	3.53009259259259	3.52541666666667	0.00467592592592595	-0.0100925925925934
35	3.52	3.5225	3.535	-0.0125000000000002	-0.00250000000000083
36	3.52	3.51268518518519	3.54291666666667	-0.0302314814814816	0.00731481481481433
37	3.52	3.50842592592593	3.55041666666667	-0.0419907407407408	0.0115740740740740
38	3.52	3.53189814814815	3.55875	-0.0268518518518519	-0.0118981481481484
39	3.58	3.58722222222222	3.57	0.0172222222222222	-0.00722222222222246
40	3.6	3.60509259259259	3.58375	0.0213425925925926	-0.00509259259259265
41	3.61	3.61787037037037	3.59791666666667	0.0199537037037037	-0.00787037037037042
42	3.61	3.63620370370370	3.61208333333333	0.0241203703703703	-0.0262037037037035
43	3.61	3.63675925925926	3.62625	0.0105092592592595	-0.0267592592592591
44	3.63	3.64398148148148	3.64041666666667	0.00356481481481506	-0.0139814814814816
45	3.68	3.66226851851852	3.65208333333333	0.0101851851851853	0.0177314814814813
46	3.69	3.66509259259259	3.66041666666667	0.00467592592592595	0.0249074074074072
47	3.69	3.655	3.6675	-0.0125000000000002	0.0349999999999997
48	3.69	3.64768518518519	3.67791666666667	-0.0302314814814816	0.042314814814814
49	3.69	3.65050925925926	3.6925	-0.0419907407407408	0.0394907407407401
50	3.69	3.67981481481482	3.70666666666667	-0.0268518518518519	0.0101851851851844
51	3.69	3.73555555555556	3.71833333333333	0.0172222222222222	-0.0455555555555565
52	3.69	3.74925925925926	3.72791666666667	0.0213425925925926	-0.0592592592592598
53	3.69	3.75703703703704	3.73708333333333	0.0199537037037037	-0.0670370370370379
54	3.78	3.77037037037037	3.74625	0.0241203703703703	0.00962962962962877
55	3.79	3.76634259259259	3.75583333333333	0.0105092592592595	0.0236574074074070
56	3.79	3.77523148148148	3.77166666666667	0.00356481481481506	0.0147685185185180
57	3.8	3.80518518518519	3.795	0.0101851851851853	-0.00518518518518585
58	3.8	3.82509259259259	3.82041666666667	0.00467592592592595	-0.0250925925925927
59	3.8	3.83625	3.84875	-0.0125000000000002	-0.0362499999999999
60	3.8	3.84976851851852	3.88	-0.0302314814814816	-0.0497685185185177
61	3.81	3.87050925925926	3.9125	-0.0419907407407408	-0.0605092592592578
62	3.95	3.91939814814815	3.94625	-0.0268518518518519	0.0306018518518534
63	3.99	3.99722222222222	3.98	0.0172222222222222	-0.00722222222222069
64	4	4.03467592592593	4.01333333333333	0.0213425925925926	-0.0346759259259253
65	4.06	4.06662037037037	4.04666666666667	0.0199537037037037	-0.00662037037036978
66	4.16	4.10412037037037	4.08	0.0241203703703703	0.0558796296296293
67	4.19	4.12467592592593	4.11416666666667	0.0105092592592595	0.0653240740740744
68	4.2	4.15314814814815	4.14958333333333	0.00356481481481506	0.0468518518518515
69	4.2	4.19601851851852	4.18583333333333	0.0101851851851853	0.00398148148148181
70	4.2	4.22717592592593	4.2225	0.00467592592592595	-0.0271759259259259
71	4.2	4.24416666666667	4.25666666666667	-0.0125000000000002	-0.0441666666666665
72	4.2	4.25393518518519	4.28416666666667	-0.0302314814814816	-0.0539351851851855
73	4.23	4.26425925925926	4.30625	-0.0419907407407408	-0.034259259259259
74	4.38	4.29981481481482	4.32666666666667	-0.0268518518518519	0.0801851851851847
75	4.43	4.36430555555556	4.34708333333333	0.0172222222222222	0.0656944444444445
76	4.44	4.38925925925926	4.36791666666667	0.0213425925925926	0.050740740740741
77	4.44	4.4087037037037	4.38875	0.0199537037037037	0.0312962962962970
78	4.44	4.43370370370370	4.40958333333333	0.0241203703703703	0.0062962962962958
79	4.44	4.43967592592593	4.42916666666667	0.0105092592592595	0.000324074074073977
80	4.44	4.44481481481482	4.44125	0.00356481481481506	-0.00481481481481527
81	4.45	4.45518518518519	4.445	0.0101851851851853	-0.0051851851851854
82	4.45	4.45092592592593	4.44625	0.00467592592592595	-0.000925925925925775
83	4.45	4.435	4.4475	-0.0125000000000002	0.0149999999999997
84	4.45	4.41893518518519	4.44916666666667	-0.0302314814814816	0.0310648148148145
85	4.45	4.40884259259259	4.45083333333333	-0.0419907407407408	0.0411574074074066
86	4.45	4.42648148148148	4.45333333333333	-0.0268518518518519	0.0235185185185181
87	4.45	4.47763888888889	4.46041666666667	0.0172222222222222	-0.0276388888888901
88	4.45	4.49634259259259	4.475	0.0213425925925926	-0.0463425925925938
89	4.46	4.51370370370370	4.49375	0.0199537037037037	-0.0537037037037047
90	4.46	4.53703703703704	4.51291666666667	0.0241203703703703	-0.0770370370370381
91	4.46	4.54300925925926	4.5325	0.0105092592592595	-0.08300925925926
92	4.48	4.55606481481481	4.5525	0.00356481481481506	-0.0760648148148144
93	4.58	4.58268518518519	4.5725	0.0101851851851853	-0.0026851851851859
94	4.67	4.59717592592593	4.5925	0.00467592592592595	0.0728240740740729
95	4.68	4.59958333333333	4.61208333333333	-0.0125000000000002	0.0804166666666655
96	4.68	4.60101851851852	4.63125	-0.0302314814814816	0.0789814814814811
97	4.69	4.60842592592593	4.65041666666667	-0.0419907407407408	0.0815740740740747
98	4.69	4.64356481481481	4.67041666666667	-0.0268518518518519	0.0464351851851861
99	4.69	4.70638888888889	4.68916666666667	0.0172222222222222	-0.0163888888888879
100	4.69	4.72384259259259	4.7025	0.0213425925925926	-0.0338425925925909
101	4.69	4.73203703703704	4.71208333333333	0.0199537037037037	-0.0420370370370353
102	4.69	4.74578703703704	4.72166666666667	0.0241203703703703	-0.0557870370370361
103	4.69	4.74175925925926	4.73125	0.0105092592592595	-0.0517592592592582
104	4.73	4.74439814814815	4.74083333333333	0.00356481481481506	-0.0143981481481461
105	4.78	4.77560185185185	4.76541666666667	0.0101851851851853	0.00439814814814898
106	4.79	4.81342592592593	4.80875	0.00467592592592595	-0.0234259259259257
107	4.79	4.845	4.8575	-0.0125000000000002	-0.0549999999999997
108	4.8	4.87726851851852	4.9075	-0.0302314814814816	-0.077268518518518
109	4.8	4.91550925925926	4.9575	-0.0419907407407408	-0.115509259259260
110	4.81	4.97939814814815	5.00625	-0.0268518518518519	-0.169398148148149
111	5.16	5.06888888888889	5.05166666666667	0.0172222222222222	0.0911111111111103
112	5.26	5.11592592592593	5.09458333333333	0.0213425925925926	0.144074074074073
113	5.29	5.15703703703704	5.13708333333333	0.0199537037037037	0.132962962962963
114	5.29	5.20328703703704	5.17916666666667	0.0241203703703703	0.0867129629629622
115	5.29	5.23134259259259	5.22083333333333	0.0105092592592595	0.0586574074074084
116	5.3	5.26564814814815	5.26208333333333	0.00356481481481506	0.0343518518518531
117	5.3	5.29851851851852	5.28833333333333	0.0101851851851853	0.00148148148148231
118	5.3	5.30259259259259	5.29791666666666	0.00467592592592595	-0.00259259259259093
119	5.3	5.29541666666667	5.30791666666667	-0.0125000000000002	0.00458333333333449
120	5.3	5.29143518518518	5.32166666666667	-0.0302314814814816	0.0085648148148163
121	5.3	NA	5.33666666666667	NA	NA
122	5.3	NA	5.35166666666666	NA	NA
123	5.3	NA	5.36666666666667	NA	NA
124	5.35	NA	5.38166666666667	NA	NA
125	5.44	NA	5.39666666666667	NA	NA
126	5.47	NA	NA	NA	NA
127	5.47	NA	NA	NA	NA
128	5.48	NA	NA	NA	NA
129	5.48	NA	NA	NA	NA
130	5.48	NA	NA	NA	NA
131	5.48	NA	NA	NA	NA

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Figure 4

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = additive ; par2 = 12 ;

Parameters (R input):

par1 = additive ; par2 = 12 ;

R code (references can be found in the software module):

par2 <- as.numeric(par2)
x <- ts(x,freq=par2)
m <- decompose(x,type=par1)
m$figure
bitmap(file='test1.png')
plot(m)
dev.off()
mylagmax <- length(x)/2
bitmap(file='test2.png')
op <- par(mfrow = c(2,2))
acf(as.numeric(x),lag.max = mylagmax,main='Observed')
acf(as.numeric(m$trend),na.action=na.pass,lag.max = mylagmax,main='Trend')
acf(as.numeric(m$seasonal),na.action=na.pass,lag.max = mylagmax,main='Seasonal')
acf(as.numeric(m$random),na.action=na.pass,lag.max = mylagmax,main='Random')
par(op)
dev.off()
bitmap(file='test3.png')
op <- par(mfrow = c(2,2))
spectrum(as.numeric(x),main='Observed')
spectrum(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
spectrum(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
spectrum(as.numeric(m$random[!is.na(m$random)]),main='Random')
par(op)
dev.off()
bitmap(file='test4.png')
op <- par(mfrow = c(2,2))
cpgram(as.numeric(x),main='Observed')
cpgram(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
cpgram(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
cpgram(as.numeric(m$random[!is.na(m$random)]),main='Random')
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'t',header=TRUE)
a<-table.element(a,'Observations',header=TRUE)
a<-table.element(a,'Fit',header=TRUE)
a<-table.element(a,'Trend',header=TRUE)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,'Random',header=TRUE)
a<-table.row.end(a)
for (i in 1:length(m$trend)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
if (par1 == 'additive') a<-table.element(a,m$trend[i]+m$seasonal[i]) else a<-table.element(a,m$trend[i]*m$seasonal[i])
a<-table.element(a,m$trend[i])
a<-table.element(a,m$seasonal[i])
a<-table.element(a,m$random[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code