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rwasp_decompose.wasp

Title produced by software

Classical Decomposition

Date of computation

Mon, 09 Jan 2017 15:39:55 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Jan/09/t1483976445yh6r47bumq3bmne.htm/, Retrieved Tue, 14 May 2024 08:46:26 +0200

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 14 May 2024 08:46:26 +0200

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1,56
1,56
1,54
1,54
1,54
1,54
1,57
1,58
1,57
1,57
1,57
1,57
1,56
1,58
1,58
1,58
1,58
1,53
1,48
1,48
1,48
1,48
1,48
1,57
1,57
1,57
1,60
1,60
1,65
1,71
1,71
1,71
1,74
1,78
1,84
1,84
1,76
1,72
1,66
1,65
1,66
1,66
1,66
1,61
1,55
1,56
1,55
1,55
1,61
1,54
1,48
1,42
1,42
1,42
1,43
1,46
1,50
1,47
1,43
1,42
1,39
1,37
1,38
1,51
1,47
1,47
1,53
1,55
1,50
1,52
1,53
1,53
1,52
1,60
1,52
1,64
1,63
1,69
1,73
1,69
1,61
1,52
1,55
1,56
1,56
1,56
1,54
1,53
1,54
1,48
1,38
1,34
1,28
1,28
1,30
1,31
1,31
1,31
1,32
1,31
1,27
1,24
1,24
1,24
1,24
1,24
1,24
1,24
1,23
1,26
1,28
1,32
1,40
1,41
1,37
1,33
1,33
1,34
1,34
1,38
1,43
1,39
1,33
1,33
1,34
1,38
1,37
1,38
1,31
1,38
1,30
1,30
1,29
1,31
1,31
1,32
1,31
1,30
1,31
1,33
1,34
1,42
1,42
1,36
1,36
1,34
1,34
1,33
1,31
1,25
1,23
1,17
1,19
1,19
1,19
1,19

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Sir Maurice George Kendall' @ kendall.wessa.net

\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 & 3 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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	3 seconds
R Server	'Sir Maurice George Kendall' @ kendall.wessa.net

Classical Decomposition by Moving Averages
t	Observations	Fit	Trend	Seasonal	Random
1	1.56	NA	NA	0.00163194	NA
2	1.56	NA	NA	0.000902778	NA
3	1.54	NA	NA	-0.0138542	NA
4	1.54	NA	NA	0.00545139	NA
5	1.54	NA	NA	0.0114236	NA
6	1.54	NA	NA	0.0107292	NA
7	1.57	1.56677	1.55917	0.00760417	0.00322917
8	1.58	1.5624	1.56	0.00239583	0.0176042
9	1.57	1.54552	1.5625	-0.0169792	0.0244792
10	1.57	1.55944	1.56583	-0.00638889	0.0105556
11	1.57	1.56347	1.56917	-0.00569444	0.00652778
12	1.57	1.57319	1.57042	0.00277778	-0.00319444
13	1.56	1.56788	1.56625	0.00163194	-0.00788194
14	1.58	1.55924	1.55833	0.000902778	0.0207639
15	1.58	1.53656	1.55042	-0.0138542	0.0434375
16	1.58	1.54837	1.54292	0.00545139	0.0316319
17	1.58	1.54684	1.53542	0.0114236	0.0331597
18	1.53	1.5424	1.53167	0.0107292	-0.0123958
19	1.48	1.53969	1.53208	0.00760417	-0.0596875
20	1.48	1.53448	1.53208	0.00239583	-0.0544792
21	1.48	1.51552	1.5325	-0.0169792	-0.0355208
22	1.48	1.52778	1.53417	-0.00638889	-0.0477778
23	1.48	1.53222	1.53792	-0.00569444	-0.0522222
24	1.57	1.55111	1.54833	0.00277778	0.0188889
25	1.57	1.56705	1.56542	0.00163194	0.00295139
26	1.57	1.58549	1.58458	0.000902778	-0.0154861
27	1.6	1.59115	1.605	-0.0138542	0.00885417
28	1.6	1.63378	1.62833	0.00545139	-0.0337847
29	1.65	1.66726	1.65583	0.0114236	-0.0172569
30	1.71	1.69281	1.68208	0.0107292	0.0171875
31	1.71	1.70885	1.70125	0.00760417	0.00114583
32	1.71	1.71781	1.71542	0.00239583	-0.0078125
33	1.74	1.70719	1.72417	-0.0169792	0.0328125
34	1.78	1.72236	1.72875	-0.00638889	0.0576389
35	1.84	1.72556	1.73125	-0.00569444	0.114444
36	1.84	1.73236	1.72958	0.00277778	0.107639
37	1.76	1.72705	1.72542	0.00163194	0.0329514
38	1.72	1.72007	1.71917	0.000902778	-6.94444e-05
39	1.66	1.69323	1.70708	-0.0138542	-0.0332292
40	1.65	1.69545	1.69	0.00545139	-0.0454514
41	1.66	1.68017	1.66875	0.0114236	-0.0201736
42	1.66	1.65531	1.64458	0.0107292	0.0046875
43	1.66	1.63385	1.62625	0.00760417	0.0261458
44	1.61	1.6149	1.6125	0.00239583	-0.00489583
45	1.55	1.58052	1.5975	-0.0169792	-0.0305208
46	1.56	1.57403	1.58042	-0.00638889	-0.0140278
47	1.55	1.55514	1.56083	-0.00569444	-0.00513889
48	1.55	1.54361	1.54083	0.00277778	0.00638889
49	1.61	1.52288	1.52125	0.00163194	0.0871181
50	1.54	1.50632	1.50542	0.000902778	0.0336806
51	1.48	1.48323	1.49708	-0.0138542	-0.00322917
52	1.42	1.4967	1.49125	0.00545139	-0.0767014
53	1.42	1.49392	1.4825	0.0114236	-0.0739236
54	1.42	1.48281	1.47208	0.0107292	-0.0628125
55	1.43	1.4651	1.4575	0.00760417	-0.0351042
56	1.46	1.44365	1.44125	0.00239583	0.0163542
57	1.5	1.41302	1.43	-0.0169792	0.0869792
58	1.47	1.42319	1.42958	-0.00638889	0.0468056
59	1.43	1.42972	1.43542	-0.00569444	0.000277778
60	1.42	1.44236	1.43958	0.00277778	-0.0223611
61	1.39	1.44747	1.44583	0.00163194	-0.0574653
62	1.37	1.45465	1.45375	0.000902778	-0.0846528
63	1.38	1.44365	1.4575	-0.0138542	-0.0636458
64	1.51	1.46503	1.45958	0.00545139	0.0449653
65	1.47	1.47726	1.46583	0.0114236	-0.00725694
66	1.47	1.48531	1.47458	0.0107292	-0.0153125
67	1.53	1.49219	1.48458	0.00760417	0.0378125
68	1.55	1.50198	1.49958	0.00239583	0.0480208
69	1.5	1.49802	1.515	-0.0169792	0.00197917
70	1.52	1.51986	1.52625	-0.00638889	0.000138889
71	1.53	1.53264	1.53833	-0.00569444	-0.00263889
72	1.53	1.55694	1.55417	0.00277778	-0.0269444
73	1.52	1.5733	1.57167	0.00163194	-0.0532986
74	1.6	1.58674	1.58583	0.000902778	0.0132639
75	1.52	1.5824	1.59625	-0.0138542	-0.0623958
76	1.64	1.60628	1.60083	0.00545139	0.0337153
77	1.63	1.61309	1.60167	0.0114236	0.0169097
78	1.69	1.61448	1.60375	0.0107292	0.0755208
79	1.73	1.61427	1.60667	0.00760417	0.115729
80	1.69	1.60906	1.60667	0.00239583	0.0809375
81	1.61	1.58885	1.60583	-0.0169792	0.0211458
82	1.52	1.59569	1.60208	-0.00638889	-0.0756944
83	1.55	1.58806	1.59375	-0.00569444	-0.0380556
84	1.56	1.58403	1.58125	0.00277778	-0.0240278
85	1.56	1.55955	1.55792	0.00163194	0.000451389
86	1.56	1.52965	1.52875	0.000902778	0.0303472
87	1.54	1.48656	1.50042	-0.0138542	0.0534375
88	1.53	1.48212	1.47667	0.00545139	0.0478819
89	1.54	1.46767	1.45625	0.0114236	0.0723264
90	1.48	1.44615	1.43542	0.0107292	0.0338542
91	1.38	1.42219	1.41458	0.00760417	-0.0421875
92	1.34	1.39615	1.39375	0.00239583	-0.0561458
93	1.28	1.35719	1.37417	-0.0169792	-0.0771875
94	1.28	1.34944	1.35583	-0.00638889	-0.0694444
95	1.3	1.32972	1.33542	-0.00569444	-0.0297222
96	1.31	1.31694	1.31417	0.00277778	-0.00694444
97	1.31	1.29997	1.29833	0.00163194	0.0100347
98	1.31	1.28924	1.28833	0.000902778	0.0207639
99	1.32	1.26865	1.2825	-0.0138542	0.0513542
100	1.31	1.28462	1.27917	0.00545139	0.0253819
101	1.27	1.28642	1.275	0.0114236	-0.0164236
102	1.24	1.28031	1.26958	0.0107292	-0.0403125
103	1.24	1.27094	1.26333	0.00760417	-0.0309375
104	1.24	1.26031	1.25792	0.00239583	-0.0203125
105	1.24	1.23719	1.25417	-0.0169792	0.0028125
106	1.24	1.24653	1.25292	-0.00638889	-0.00652778
107	1.24	1.25306	1.25875	-0.00569444	-0.0130556
108	1.24	1.27403	1.27125	0.00277778	-0.0340278
109	1.23	1.28538	1.28375	0.00163194	-0.0553819
110	1.26	1.29382	1.29292	0.000902778	-0.0338194
111	1.28	1.28656	1.30042	-0.0138542	-0.0065625
112	1.32	1.31378	1.30833	0.00545139	0.00621528
113	1.4	1.32809	1.31667	0.0114236	0.0719097
114	1.41	1.3374	1.32667	0.0107292	0.0726042
115	1.37	1.34844	1.34083	0.00760417	0.0215625
116	1.33	1.35698	1.35458	0.00239583	-0.0269792
117	1.33	1.3451	1.36208	-0.0169792	-0.0151042
118	1.34	1.35819	1.36458	-0.00638889	-0.0181944
119	1.34	1.35681	1.3625	-0.00569444	-0.0168056
120	1.38	1.36153	1.35875	0.00277778	0.0184722
121	1.43	1.35913	1.3575	0.00163194	0.0708681
122	1.39	1.36049	1.35958	0.000902778	0.0295139
123	1.33	1.34698	1.36083	-0.0138542	-0.0169792
124	1.33	1.36712	1.36167	0.00545139	-0.0371181
125	1.34	1.37309	1.36167	0.0114236	-0.0330903
126	1.38	1.3674	1.35667	0.0107292	0.0126042
127	1.37	1.3551	1.3475	0.00760417	0.0148958
128	1.38	1.34073	1.33833	0.00239583	0.0392708
129	1.31	1.31719	1.33417	-0.0169792	-0.0071875
130	1.38	1.32653	1.33292	-0.00638889	0.0534722
131	1.3	1.32556	1.33125	-0.00569444	-0.0255556
132	1.3	1.32944	1.32667	0.00277778	-0.0294444
133	1.29	1.32247	1.32083	0.00163194	-0.0324653
134	1.31	1.31715	1.31625	0.000902778	-0.00715278
135	1.31	1.30156	1.31542	-0.0138542	0.0084375
136	1.32	1.32378	1.31833	0.00545139	-0.00378472
137	1.31	1.33642	1.325	0.0114236	-0.0264236
138	1.3	1.34323	1.3325	0.0107292	-0.0432292
139	1.31	1.34552	1.33792	0.00760417	-0.0355208
140	1.33	1.34448	1.34208	0.00239583	-0.0144792
141	1.34	1.3276	1.34458	-0.0169792	0.0123958
142	1.42	1.33986	1.34625	-0.00638889	0.0801389
143	1.42	1.34097	1.34667	-0.00569444	0.0790278
144	1.36	1.34736	1.34458	0.00277778	0.0126389
145	1.36	1.3408	1.33917	0.00163194	0.0192014
146	1.34	1.33007	1.32917	0.000902778	0.00993056
147	1.34	1.3024	1.31625	-0.0138542	0.0376042
148	1.33	1.30587	1.30042	0.00545139	0.0241319
149	1.31	1.29267	1.28125	0.0114236	0.0173264
150	1.25	1.27531	1.26458	0.0107292	-0.0253125
151	1.23	NA	NA	0.00760417	NA
152	1.17	NA	NA	0.00239583	NA
153	1.19	NA	NA	-0.0169792	NA
154	1.19	NA	NA	-0.00638889	NA
155	1.19	NA	NA	-0.00569444	NA
156	1.19	NA	NA	0.00277778	NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 1.56 & NA & NA & 0.00163194 & NA \tabularnewline
2 & 1.56 & NA & NA & 0.000902778 & NA \tabularnewline
3 & 1.54 & NA & NA & -0.0138542 & NA \tabularnewline
4 & 1.54 & NA & NA & 0.00545139 & NA \tabularnewline
5 & 1.54 & NA & NA & 0.0114236 & NA \tabularnewline
6 & 1.54 & NA & NA & 0.0107292 & NA \tabularnewline
7 & 1.57 & 1.56677 & 1.55917 & 0.00760417 & 0.00322917 \tabularnewline
8 & 1.58 & 1.5624 & 1.56 & 0.00239583 & 0.0176042 \tabularnewline
9 & 1.57 & 1.54552 & 1.5625 & -0.0169792 & 0.0244792 \tabularnewline
10 & 1.57 & 1.55944 & 1.56583 & -0.00638889 & 0.0105556 \tabularnewline
11 & 1.57 & 1.56347 & 1.56917 & -0.00569444 & 0.00652778 \tabularnewline
12 & 1.57 & 1.57319 & 1.57042 & 0.00277778 & -0.00319444 \tabularnewline
13 & 1.56 & 1.56788 & 1.56625 & 0.00163194 & -0.00788194 \tabularnewline
14 & 1.58 & 1.55924 & 1.55833 & 0.000902778 & 0.0207639 \tabularnewline
15 & 1.58 & 1.53656 & 1.55042 & -0.0138542 & 0.0434375 \tabularnewline
16 & 1.58 & 1.54837 & 1.54292 & 0.00545139 & 0.0316319 \tabularnewline
17 & 1.58 & 1.54684 & 1.53542 & 0.0114236 & 0.0331597 \tabularnewline
18 & 1.53 & 1.5424 & 1.53167 & 0.0107292 & -0.0123958 \tabularnewline
19 & 1.48 & 1.53969 & 1.53208 & 0.00760417 & -0.0596875 \tabularnewline
20 & 1.48 & 1.53448 & 1.53208 & 0.00239583 & -0.0544792 \tabularnewline
21 & 1.48 & 1.51552 & 1.5325 & -0.0169792 & -0.0355208 \tabularnewline
22 & 1.48 & 1.52778 & 1.53417 & -0.00638889 & -0.0477778 \tabularnewline
23 & 1.48 & 1.53222 & 1.53792 & -0.00569444 & -0.0522222 \tabularnewline
24 & 1.57 & 1.55111 & 1.54833 & 0.00277778 & 0.0188889 \tabularnewline
25 & 1.57 & 1.56705 & 1.56542 & 0.00163194 & 0.00295139 \tabularnewline
26 & 1.57 & 1.58549 & 1.58458 & 0.000902778 & -0.0154861 \tabularnewline
27 & 1.6 & 1.59115 & 1.605 & -0.0138542 & 0.00885417 \tabularnewline
28 & 1.6 & 1.63378 & 1.62833 & 0.00545139 & -0.0337847 \tabularnewline
29 & 1.65 & 1.66726 & 1.65583 & 0.0114236 & -0.0172569 \tabularnewline
30 & 1.71 & 1.69281 & 1.68208 & 0.0107292 & 0.0171875 \tabularnewline
31 & 1.71 & 1.70885 & 1.70125 & 0.00760417 & 0.00114583 \tabularnewline
32 & 1.71 & 1.71781 & 1.71542 & 0.00239583 & -0.0078125 \tabularnewline
33 & 1.74 & 1.70719 & 1.72417 & -0.0169792 & 0.0328125 \tabularnewline
34 & 1.78 & 1.72236 & 1.72875 & -0.00638889 & 0.0576389 \tabularnewline
35 & 1.84 & 1.72556 & 1.73125 & -0.00569444 & 0.114444 \tabularnewline
36 & 1.84 & 1.73236 & 1.72958 & 0.00277778 & 0.107639 \tabularnewline
37 & 1.76 & 1.72705 & 1.72542 & 0.00163194 & 0.0329514 \tabularnewline
38 & 1.72 & 1.72007 & 1.71917 & 0.000902778 & -6.94444e-05 \tabularnewline
39 & 1.66 & 1.69323 & 1.70708 & -0.0138542 & -0.0332292 \tabularnewline
40 & 1.65 & 1.69545 & 1.69 & 0.00545139 & -0.0454514 \tabularnewline
41 & 1.66 & 1.68017 & 1.66875 & 0.0114236 & -0.0201736 \tabularnewline
42 & 1.66 & 1.65531 & 1.64458 & 0.0107292 & 0.0046875 \tabularnewline
43 & 1.66 & 1.63385 & 1.62625 & 0.00760417 & 0.0261458 \tabularnewline
44 & 1.61 & 1.6149 & 1.6125 & 0.00239583 & -0.00489583 \tabularnewline
45 & 1.55 & 1.58052 & 1.5975 & -0.0169792 & -0.0305208 \tabularnewline
46 & 1.56 & 1.57403 & 1.58042 & -0.00638889 & -0.0140278 \tabularnewline
47 & 1.55 & 1.55514 & 1.56083 & -0.00569444 & -0.00513889 \tabularnewline
48 & 1.55 & 1.54361 & 1.54083 & 0.00277778 & 0.00638889 \tabularnewline
49 & 1.61 & 1.52288 & 1.52125 & 0.00163194 & 0.0871181 \tabularnewline
50 & 1.54 & 1.50632 & 1.50542 & 0.000902778 & 0.0336806 \tabularnewline
51 & 1.48 & 1.48323 & 1.49708 & -0.0138542 & -0.00322917 \tabularnewline
52 & 1.42 & 1.4967 & 1.49125 & 0.00545139 & -0.0767014 \tabularnewline
53 & 1.42 & 1.49392 & 1.4825 & 0.0114236 & -0.0739236 \tabularnewline
54 & 1.42 & 1.48281 & 1.47208 & 0.0107292 & -0.0628125 \tabularnewline
55 & 1.43 & 1.4651 & 1.4575 & 0.00760417 & -0.0351042 \tabularnewline
56 & 1.46 & 1.44365 & 1.44125 & 0.00239583 & 0.0163542 \tabularnewline
57 & 1.5 & 1.41302 & 1.43 & -0.0169792 & 0.0869792 \tabularnewline
58 & 1.47 & 1.42319 & 1.42958 & -0.00638889 & 0.0468056 \tabularnewline
59 & 1.43 & 1.42972 & 1.43542 & -0.00569444 & 0.000277778 \tabularnewline
60 & 1.42 & 1.44236 & 1.43958 & 0.00277778 & -0.0223611 \tabularnewline
61 & 1.39 & 1.44747 & 1.44583 & 0.00163194 & -0.0574653 \tabularnewline
62 & 1.37 & 1.45465 & 1.45375 & 0.000902778 & -0.0846528 \tabularnewline
63 & 1.38 & 1.44365 & 1.4575 & -0.0138542 & -0.0636458 \tabularnewline
64 & 1.51 & 1.46503 & 1.45958 & 0.00545139 & 0.0449653 \tabularnewline
65 & 1.47 & 1.47726 & 1.46583 & 0.0114236 & -0.00725694 \tabularnewline
66 & 1.47 & 1.48531 & 1.47458 & 0.0107292 & -0.0153125 \tabularnewline
67 & 1.53 & 1.49219 & 1.48458 & 0.00760417 & 0.0378125 \tabularnewline
68 & 1.55 & 1.50198 & 1.49958 & 0.00239583 & 0.0480208 \tabularnewline
69 & 1.5 & 1.49802 & 1.515 & -0.0169792 & 0.00197917 \tabularnewline
70 & 1.52 & 1.51986 & 1.52625 & -0.00638889 & 0.000138889 \tabularnewline
71 & 1.53 & 1.53264 & 1.53833 & -0.00569444 & -0.00263889 \tabularnewline
72 & 1.53 & 1.55694 & 1.55417 & 0.00277778 & -0.0269444 \tabularnewline
73 & 1.52 & 1.5733 & 1.57167 & 0.00163194 & -0.0532986 \tabularnewline
74 & 1.6 & 1.58674 & 1.58583 & 0.000902778 & 0.0132639 \tabularnewline
75 & 1.52 & 1.5824 & 1.59625 & -0.0138542 & -0.0623958 \tabularnewline
76 & 1.64 & 1.60628 & 1.60083 & 0.00545139 & 0.0337153 \tabularnewline
77 & 1.63 & 1.61309 & 1.60167 & 0.0114236 & 0.0169097 \tabularnewline
78 & 1.69 & 1.61448 & 1.60375 & 0.0107292 & 0.0755208 \tabularnewline
79 & 1.73 & 1.61427 & 1.60667 & 0.00760417 & 0.115729 \tabularnewline
80 & 1.69 & 1.60906 & 1.60667 & 0.00239583 & 0.0809375 \tabularnewline
81 & 1.61 & 1.58885 & 1.60583 & -0.0169792 & 0.0211458 \tabularnewline
82 & 1.52 & 1.59569 & 1.60208 & -0.00638889 & -0.0756944 \tabularnewline
83 & 1.55 & 1.58806 & 1.59375 & -0.00569444 & -0.0380556 \tabularnewline
84 & 1.56 & 1.58403 & 1.58125 & 0.00277778 & -0.0240278 \tabularnewline
85 & 1.56 & 1.55955 & 1.55792 & 0.00163194 & 0.000451389 \tabularnewline
86 & 1.56 & 1.52965 & 1.52875 & 0.000902778 & 0.0303472 \tabularnewline
87 & 1.54 & 1.48656 & 1.50042 & -0.0138542 & 0.0534375 \tabularnewline
88 & 1.53 & 1.48212 & 1.47667 & 0.00545139 & 0.0478819 \tabularnewline
89 & 1.54 & 1.46767 & 1.45625 & 0.0114236 & 0.0723264 \tabularnewline
90 & 1.48 & 1.44615 & 1.43542 & 0.0107292 & 0.0338542 \tabularnewline
91 & 1.38 & 1.42219 & 1.41458 & 0.00760417 & -0.0421875 \tabularnewline
92 & 1.34 & 1.39615 & 1.39375 & 0.00239583 & -0.0561458 \tabularnewline
93 & 1.28 & 1.35719 & 1.37417 & -0.0169792 & -0.0771875 \tabularnewline
94 & 1.28 & 1.34944 & 1.35583 & -0.00638889 & -0.0694444 \tabularnewline
95 & 1.3 & 1.32972 & 1.33542 & -0.00569444 & -0.0297222 \tabularnewline
96 & 1.31 & 1.31694 & 1.31417 & 0.00277778 & -0.00694444 \tabularnewline
97 & 1.31 & 1.29997 & 1.29833 & 0.00163194 & 0.0100347 \tabularnewline
98 & 1.31 & 1.28924 & 1.28833 & 0.000902778 & 0.0207639 \tabularnewline
99 & 1.32 & 1.26865 & 1.2825 & -0.0138542 & 0.0513542 \tabularnewline
100 & 1.31 & 1.28462 & 1.27917 & 0.00545139 & 0.0253819 \tabularnewline
101 & 1.27 & 1.28642 & 1.275 & 0.0114236 & -0.0164236 \tabularnewline
102 & 1.24 & 1.28031 & 1.26958 & 0.0107292 & -0.0403125 \tabularnewline
103 & 1.24 & 1.27094 & 1.26333 & 0.00760417 & -0.0309375 \tabularnewline
104 & 1.24 & 1.26031 & 1.25792 & 0.00239583 & -0.0203125 \tabularnewline
105 & 1.24 & 1.23719 & 1.25417 & -0.0169792 & 0.0028125 \tabularnewline
106 & 1.24 & 1.24653 & 1.25292 & -0.00638889 & -0.00652778 \tabularnewline
107 & 1.24 & 1.25306 & 1.25875 & -0.00569444 & -0.0130556 \tabularnewline
108 & 1.24 & 1.27403 & 1.27125 & 0.00277778 & -0.0340278 \tabularnewline
109 & 1.23 & 1.28538 & 1.28375 & 0.00163194 & -0.0553819 \tabularnewline
110 & 1.26 & 1.29382 & 1.29292 & 0.000902778 & -0.0338194 \tabularnewline
111 & 1.28 & 1.28656 & 1.30042 & -0.0138542 & -0.0065625 \tabularnewline
112 & 1.32 & 1.31378 & 1.30833 & 0.00545139 & 0.00621528 \tabularnewline
113 & 1.4 & 1.32809 & 1.31667 & 0.0114236 & 0.0719097 \tabularnewline
114 & 1.41 & 1.3374 & 1.32667 & 0.0107292 & 0.0726042 \tabularnewline
115 & 1.37 & 1.34844 & 1.34083 & 0.00760417 & 0.0215625 \tabularnewline
116 & 1.33 & 1.35698 & 1.35458 & 0.00239583 & -0.0269792 \tabularnewline
117 & 1.33 & 1.3451 & 1.36208 & -0.0169792 & -0.0151042 \tabularnewline
118 & 1.34 & 1.35819 & 1.36458 & -0.00638889 & -0.0181944 \tabularnewline
119 & 1.34 & 1.35681 & 1.3625 & -0.00569444 & -0.0168056 \tabularnewline
120 & 1.38 & 1.36153 & 1.35875 & 0.00277778 & 0.0184722 \tabularnewline
121 & 1.43 & 1.35913 & 1.3575 & 0.00163194 & 0.0708681 \tabularnewline
122 & 1.39 & 1.36049 & 1.35958 & 0.000902778 & 0.0295139 \tabularnewline
123 & 1.33 & 1.34698 & 1.36083 & -0.0138542 & -0.0169792 \tabularnewline
124 & 1.33 & 1.36712 & 1.36167 & 0.00545139 & -0.0371181 \tabularnewline
125 & 1.34 & 1.37309 & 1.36167 & 0.0114236 & -0.0330903 \tabularnewline
126 & 1.38 & 1.3674 & 1.35667 & 0.0107292 & 0.0126042 \tabularnewline
127 & 1.37 & 1.3551 & 1.3475 & 0.00760417 & 0.0148958 \tabularnewline
128 & 1.38 & 1.34073 & 1.33833 & 0.00239583 & 0.0392708 \tabularnewline
129 & 1.31 & 1.31719 & 1.33417 & -0.0169792 & -0.0071875 \tabularnewline
130 & 1.38 & 1.32653 & 1.33292 & -0.00638889 & 0.0534722 \tabularnewline
131 & 1.3 & 1.32556 & 1.33125 & -0.00569444 & -0.0255556 \tabularnewline
132 & 1.3 & 1.32944 & 1.32667 & 0.00277778 & -0.0294444 \tabularnewline
133 & 1.29 & 1.32247 & 1.32083 & 0.00163194 & -0.0324653 \tabularnewline
134 & 1.31 & 1.31715 & 1.31625 & 0.000902778 & -0.00715278 \tabularnewline
135 & 1.31 & 1.30156 & 1.31542 & -0.0138542 & 0.0084375 \tabularnewline
136 & 1.32 & 1.32378 & 1.31833 & 0.00545139 & -0.00378472 \tabularnewline
137 & 1.31 & 1.33642 & 1.325 & 0.0114236 & -0.0264236 \tabularnewline
138 & 1.3 & 1.34323 & 1.3325 & 0.0107292 & -0.0432292 \tabularnewline
139 & 1.31 & 1.34552 & 1.33792 & 0.00760417 & -0.0355208 \tabularnewline
140 & 1.33 & 1.34448 & 1.34208 & 0.00239583 & -0.0144792 \tabularnewline
141 & 1.34 & 1.3276 & 1.34458 & -0.0169792 & 0.0123958 \tabularnewline
142 & 1.42 & 1.33986 & 1.34625 & -0.00638889 & 0.0801389 \tabularnewline
143 & 1.42 & 1.34097 & 1.34667 & -0.00569444 & 0.0790278 \tabularnewline
144 & 1.36 & 1.34736 & 1.34458 & 0.00277778 & 0.0126389 \tabularnewline
145 & 1.36 & 1.3408 & 1.33917 & 0.00163194 & 0.0192014 \tabularnewline
146 & 1.34 & 1.33007 & 1.32917 & 0.000902778 & 0.00993056 \tabularnewline
147 & 1.34 & 1.3024 & 1.31625 & -0.0138542 & 0.0376042 \tabularnewline
148 & 1.33 & 1.30587 & 1.30042 & 0.00545139 & 0.0241319 \tabularnewline
149 & 1.31 & 1.29267 & 1.28125 & 0.0114236 & 0.0173264 \tabularnewline
150 & 1.25 & 1.27531 & 1.26458 & 0.0107292 & -0.0253125 \tabularnewline
151 & 1.23 & NA & NA & 0.00760417 & NA \tabularnewline
152 & 1.17 & NA & NA & 0.00239583 & NA \tabularnewline
153 & 1.19 & NA & NA & -0.0169792 & NA \tabularnewline
154 & 1.19 & NA & NA & -0.00638889 & NA \tabularnewline
155 & 1.19 & NA & NA & -0.00569444 & NA \tabularnewline
156 & 1.19 & NA & NA & 0.00277778 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]1.56[/C][C]NA[/C][C]NA[/C][C]0.00163194[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]1.56[/C][C]NA[/C][C]NA[/C][C]0.000902778[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]1.54[/C][C]NA[/C][C]NA[/C][C]-0.0138542[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]1.54[/C][C]NA[/C][C]NA[/C][C]0.00545139[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]1.54[/C][C]NA[/C][C]NA[/C][C]0.0114236[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]1.54[/C][C]NA[/C][C]NA[/C][C]0.0107292[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]1.57[/C][C]1.56677[/C][C]1.55917[/C][C]0.00760417[/C][C]0.00322917[/C][/ROW]
[ROW][C]8[/C][C]1.58[/C][C]1.5624[/C][C]1.56[/C][C]0.00239583[/C][C]0.0176042[/C][/ROW]
[ROW][C]9[/C][C]1.57[/C][C]1.54552[/C][C]1.5625[/C][C]-0.0169792[/C][C]0.0244792[/C][/ROW]
[ROW][C]10[/C][C]1.57[/C][C]1.55944[/C][C]1.56583[/C][C]-0.00638889[/C][C]0.0105556[/C][/ROW]
[ROW][C]11[/C][C]1.57[/C][C]1.56347[/C][C]1.56917[/C][C]-0.00569444[/C][C]0.00652778[/C][/ROW]
[ROW][C]12[/C][C]1.57[/C][C]1.57319[/C][C]1.57042[/C][C]0.00277778[/C][C]-0.00319444[/C][/ROW]
[ROW][C]13[/C][C]1.56[/C][C]1.56788[/C][C]1.56625[/C][C]0.00163194[/C][C]-0.00788194[/C][/ROW]
[ROW][C]14[/C][C]1.58[/C][C]1.55924[/C][C]1.55833[/C][C]0.000902778[/C][C]0.0207639[/C][/ROW]
[ROW][C]15[/C][C]1.58[/C][C]1.53656[/C][C]1.55042[/C][C]-0.0138542[/C][C]0.0434375[/C][/ROW]
[ROW][C]16[/C][C]1.58[/C][C]1.54837[/C][C]1.54292[/C][C]0.00545139[/C][C]0.0316319[/C][/ROW]
[ROW][C]17[/C][C]1.58[/C][C]1.54684[/C][C]1.53542[/C][C]0.0114236[/C][C]0.0331597[/C][/ROW]
[ROW][C]18[/C][C]1.53[/C][C]1.5424[/C][C]1.53167[/C][C]0.0107292[/C][C]-0.0123958[/C][/ROW]
[ROW][C]19[/C][C]1.48[/C][C]1.53969[/C][C]1.53208[/C][C]0.00760417[/C][C]-0.0596875[/C][/ROW]
[ROW][C]20[/C][C]1.48[/C][C]1.53448[/C][C]1.53208[/C][C]0.00239583[/C][C]-0.0544792[/C][/ROW]
[ROW][C]21[/C][C]1.48[/C][C]1.51552[/C][C]1.5325[/C][C]-0.0169792[/C][C]-0.0355208[/C][/ROW]
[ROW][C]22[/C][C]1.48[/C][C]1.52778[/C][C]1.53417[/C][C]-0.00638889[/C][C]-0.0477778[/C][/ROW]
[ROW][C]23[/C][C]1.48[/C][C]1.53222[/C][C]1.53792[/C][C]-0.00569444[/C][C]-0.0522222[/C][/ROW]
[ROW][C]24[/C][C]1.57[/C][C]1.55111[/C][C]1.54833[/C][C]0.00277778[/C][C]0.0188889[/C][/ROW]
[ROW][C]25[/C][C]1.57[/C][C]1.56705[/C][C]1.56542[/C][C]0.00163194[/C][C]0.00295139[/C][/ROW]
[ROW][C]26[/C][C]1.57[/C][C]1.58549[/C][C]1.58458[/C][C]0.000902778[/C][C]-0.0154861[/C][/ROW]
[ROW][C]27[/C][C]1.6[/C][C]1.59115[/C][C]1.605[/C][C]-0.0138542[/C][C]0.00885417[/C][/ROW]
[ROW][C]28[/C][C]1.6[/C][C]1.63378[/C][C]1.62833[/C][C]0.00545139[/C][C]-0.0337847[/C][/ROW]
[ROW][C]29[/C][C]1.65[/C][C]1.66726[/C][C]1.65583[/C][C]0.0114236[/C][C]-0.0172569[/C][/ROW]
[ROW][C]30[/C][C]1.71[/C][C]1.69281[/C][C]1.68208[/C][C]0.0107292[/C][C]0.0171875[/C][/ROW]
[ROW][C]31[/C][C]1.71[/C][C]1.70885[/C][C]1.70125[/C][C]0.00760417[/C][C]0.00114583[/C][/ROW]
[ROW][C]32[/C][C]1.71[/C][C]1.71781[/C][C]1.71542[/C][C]0.00239583[/C][C]-0.0078125[/C][/ROW]
[ROW][C]33[/C][C]1.74[/C][C]1.70719[/C][C]1.72417[/C][C]-0.0169792[/C][C]0.0328125[/C][/ROW]
[ROW][C]34[/C][C]1.78[/C][C]1.72236[/C][C]1.72875[/C][C]-0.00638889[/C][C]0.0576389[/C][/ROW]
[ROW][C]35[/C][C]1.84[/C][C]1.72556[/C][C]1.73125[/C][C]-0.00569444[/C][C]0.114444[/C][/ROW]
[ROW][C]36[/C][C]1.84[/C][C]1.73236[/C][C]1.72958[/C][C]0.00277778[/C][C]0.107639[/C][/ROW]
[ROW][C]37[/C][C]1.76[/C][C]1.72705[/C][C]1.72542[/C][C]0.00163194[/C][C]0.0329514[/C][/ROW]
[ROW][C]38[/C][C]1.72[/C][C]1.72007[/C][C]1.71917[/C][C]0.000902778[/C][C]-6.94444e-05[/C][/ROW]
[ROW][C]39[/C][C]1.66[/C][C]1.69323[/C][C]1.70708[/C][C]-0.0138542[/C][C]-0.0332292[/C][/ROW]
[ROW][C]40[/C][C]1.65[/C][C]1.69545[/C][C]1.69[/C][C]0.00545139[/C][C]-0.0454514[/C][/ROW]
[ROW][C]41[/C][C]1.66[/C][C]1.68017[/C][C]1.66875[/C][C]0.0114236[/C][C]-0.0201736[/C][/ROW]
[ROW][C]42[/C][C]1.66[/C][C]1.65531[/C][C]1.64458[/C][C]0.0107292[/C][C]0.0046875[/C][/ROW]
[ROW][C]43[/C][C]1.66[/C][C]1.63385[/C][C]1.62625[/C][C]0.00760417[/C][C]0.0261458[/C][/ROW]
[ROW][C]44[/C][C]1.61[/C][C]1.6149[/C][C]1.6125[/C][C]0.00239583[/C][C]-0.00489583[/C][/ROW]
[ROW][C]45[/C][C]1.55[/C][C]1.58052[/C][C]1.5975[/C][C]-0.0169792[/C][C]-0.0305208[/C][/ROW]
[ROW][C]46[/C][C]1.56[/C][C]1.57403[/C][C]1.58042[/C][C]-0.00638889[/C][C]-0.0140278[/C][/ROW]
[ROW][C]47[/C][C]1.55[/C][C]1.55514[/C][C]1.56083[/C][C]-0.00569444[/C][C]-0.00513889[/C][/ROW]
[ROW][C]48[/C][C]1.55[/C][C]1.54361[/C][C]1.54083[/C][C]0.00277778[/C][C]0.00638889[/C][/ROW]
[ROW][C]49[/C][C]1.61[/C][C]1.52288[/C][C]1.52125[/C][C]0.00163194[/C][C]0.0871181[/C][/ROW]
[ROW][C]50[/C][C]1.54[/C][C]1.50632[/C][C]1.50542[/C][C]0.000902778[/C][C]0.0336806[/C][/ROW]
[ROW][C]51[/C][C]1.48[/C][C]1.48323[/C][C]1.49708[/C][C]-0.0138542[/C][C]-0.00322917[/C][/ROW]
[ROW][C]52[/C][C]1.42[/C][C]1.4967[/C][C]1.49125[/C][C]0.00545139[/C][C]-0.0767014[/C][/ROW]
[ROW][C]53[/C][C]1.42[/C][C]1.49392[/C][C]1.4825[/C][C]0.0114236[/C][C]-0.0739236[/C][/ROW]
[ROW][C]54[/C][C]1.42[/C][C]1.48281[/C][C]1.47208[/C][C]0.0107292[/C][C]-0.0628125[/C][/ROW]
[ROW][C]55[/C][C]1.43[/C][C]1.4651[/C][C]1.4575[/C][C]0.00760417[/C][C]-0.0351042[/C][/ROW]
[ROW][C]56[/C][C]1.46[/C][C]1.44365[/C][C]1.44125[/C][C]0.00239583[/C][C]0.0163542[/C][/ROW]
[ROW][C]57[/C][C]1.5[/C][C]1.41302[/C][C]1.43[/C][C]-0.0169792[/C][C]0.0869792[/C][/ROW]
[ROW][C]58[/C][C]1.47[/C][C]1.42319[/C][C]1.42958[/C][C]-0.00638889[/C][C]0.0468056[/C][/ROW]
[ROW][C]59[/C][C]1.43[/C][C]1.42972[/C][C]1.43542[/C][C]-0.00569444[/C][C]0.000277778[/C][/ROW]
[ROW][C]60[/C][C]1.42[/C][C]1.44236[/C][C]1.43958[/C][C]0.00277778[/C][C]-0.0223611[/C][/ROW]
[ROW][C]61[/C][C]1.39[/C][C]1.44747[/C][C]1.44583[/C][C]0.00163194[/C][C]-0.0574653[/C][/ROW]
[ROW][C]62[/C][C]1.37[/C][C]1.45465[/C][C]1.45375[/C][C]0.000902778[/C][C]-0.0846528[/C][/ROW]
[ROW][C]63[/C][C]1.38[/C][C]1.44365[/C][C]1.4575[/C][C]-0.0138542[/C][C]-0.0636458[/C][/ROW]
[ROW][C]64[/C][C]1.51[/C][C]1.46503[/C][C]1.45958[/C][C]0.00545139[/C][C]0.0449653[/C][/ROW]
[ROW][C]65[/C][C]1.47[/C][C]1.47726[/C][C]1.46583[/C][C]0.0114236[/C][C]-0.00725694[/C][/ROW]
[ROW][C]66[/C][C]1.47[/C][C]1.48531[/C][C]1.47458[/C][C]0.0107292[/C][C]-0.0153125[/C][/ROW]
[ROW][C]67[/C][C]1.53[/C][C]1.49219[/C][C]1.48458[/C][C]0.00760417[/C][C]0.0378125[/C][/ROW]
[ROW][C]68[/C][C]1.55[/C][C]1.50198[/C][C]1.49958[/C][C]0.00239583[/C][C]0.0480208[/C][/ROW]
[ROW][C]69[/C][C]1.5[/C][C]1.49802[/C][C]1.515[/C][C]-0.0169792[/C][C]0.00197917[/C][/ROW]
[ROW][C]70[/C][C]1.52[/C][C]1.51986[/C][C]1.52625[/C][C]-0.00638889[/C][C]0.000138889[/C][/ROW]
[ROW][C]71[/C][C]1.53[/C][C]1.53264[/C][C]1.53833[/C][C]-0.00569444[/C][C]-0.00263889[/C][/ROW]
[ROW][C]72[/C][C]1.53[/C][C]1.55694[/C][C]1.55417[/C][C]0.00277778[/C][C]-0.0269444[/C][/ROW]
[ROW][C]73[/C][C]1.52[/C][C]1.5733[/C][C]1.57167[/C][C]0.00163194[/C][C]-0.0532986[/C][/ROW]
[ROW][C]74[/C][C]1.6[/C][C]1.58674[/C][C]1.58583[/C][C]0.000902778[/C][C]0.0132639[/C][/ROW]
[ROW][C]75[/C][C]1.52[/C][C]1.5824[/C][C]1.59625[/C][C]-0.0138542[/C][C]-0.0623958[/C][/ROW]
[ROW][C]76[/C][C]1.64[/C][C]1.60628[/C][C]1.60083[/C][C]0.00545139[/C][C]0.0337153[/C][/ROW]
[ROW][C]77[/C][C]1.63[/C][C]1.61309[/C][C]1.60167[/C][C]0.0114236[/C][C]0.0169097[/C][/ROW]
[ROW][C]78[/C][C]1.69[/C][C]1.61448[/C][C]1.60375[/C][C]0.0107292[/C][C]0.0755208[/C][/ROW]
[ROW][C]79[/C][C]1.73[/C][C]1.61427[/C][C]1.60667[/C][C]0.00760417[/C][C]0.115729[/C][/ROW]
[ROW][C]80[/C][C]1.69[/C][C]1.60906[/C][C]1.60667[/C][C]0.00239583[/C][C]0.0809375[/C][/ROW]
[ROW][C]81[/C][C]1.61[/C][C]1.58885[/C][C]1.60583[/C][C]-0.0169792[/C][C]0.0211458[/C][/ROW]
[ROW][C]82[/C][C]1.52[/C][C]1.59569[/C][C]1.60208[/C][C]-0.00638889[/C][C]-0.0756944[/C][/ROW]
[ROW][C]83[/C][C]1.55[/C][C]1.58806[/C][C]1.59375[/C][C]-0.00569444[/C][C]-0.0380556[/C][/ROW]
[ROW][C]84[/C][C]1.56[/C][C]1.58403[/C][C]1.58125[/C][C]0.00277778[/C][C]-0.0240278[/C][/ROW]
[ROW][C]85[/C][C]1.56[/C][C]1.55955[/C][C]1.55792[/C][C]0.00163194[/C][C]0.000451389[/C][/ROW]
[ROW][C]86[/C][C]1.56[/C][C]1.52965[/C][C]1.52875[/C][C]0.000902778[/C][C]0.0303472[/C][/ROW]
[ROW][C]87[/C][C]1.54[/C][C]1.48656[/C][C]1.50042[/C][C]-0.0138542[/C][C]0.0534375[/C][/ROW]
[ROW][C]88[/C][C]1.53[/C][C]1.48212[/C][C]1.47667[/C][C]0.00545139[/C][C]0.0478819[/C][/ROW]
[ROW][C]89[/C][C]1.54[/C][C]1.46767[/C][C]1.45625[/C][C]0.0114236[/C][C]0.0723264[/C][/ROW]
[ROW][C]90[/C][C]1.48[/C][C]1.44615[/C][C]1.43542[/C][C]0.0107292[/C][C]0.0338542[/C][/ROW]
[ROW][C]91[/C][C]1.38[/C][C]1.42219[/C][C]1.41458[/C][C]0.00760417[/C][C]-0.0421875[/C][/ROW]
[ROW][C]92[/C][C]1.34[/C][C]1.39615[/C][C]1.39375[/C][C]0.00239583[/C][C]-0.0561458[/C][/ROW]
[ROW][C]93[/C][C]1.28[/C][C]1.35719[/C][C]1.37417[/C][C]-0.0169792[/C][C]-0.0771875[/C][/ROW]
[ROW][C]94[/C][C]1.28[/C][C]1.34944[/C][C]1.35583[/C][C]-0.00638889[/C][C]-0.0694444[/C][/ROW]
[ROW][C]95[/C][C]1.3[/C][C]1.32972[/C][C]1.33542[/C][C]-0.00569444[/C][C]-0.0297222[/C][/ROW]
[ROW][C]96[/C][C]1.31[/C][C]1.31694[/C][C]1.31417[/C][C]0.00277778[/C][C]-0.00694444[/C][/ROW]
[ROW][C]97[/C][C]1.31[/C][C]1.29997[/C][C]1.29833[/C][C]0.00163194[/C][C]0.0100347[/C][/ROW]
[ROW][C]98[/C][C]1.31[/C][C]1.28924[/C][C]1.28833[/C][C]0.000902778[/C][C]0.0207639[/C][/ROW]
[ROW][C]99[/C][C]1.32[/C][C]1.26865[/C][C]1.2825[/C][C]-0.0138542[/C][C]0.0513542[/C][/ROW]
[ROW][C]100[/C][C]1.31[/C][C]1.28462[/C][C]1.27917[/C][C]0.00545139[/C][C]0.0253819[/C][/ROW]
[ROW][C]101[/C][C]1.27[/C][C]1.28642[/C][C]1.275[/C][C]0.0114236[/C][C]-0.0164236[/C][/ROW]
[ROW][C]102[/C][C]1.24[/C][C]1.28031[/C][C]1.26958[/C][C]0.0107292[/C][C]-0.0403125[/C][/ROW]
[ROW][C]103[/C][C]1.24[/C][C]1.27094[/C][C]1.26333[/C][C]0.00760417[/C][C]-0.0309375[/C][/ROW]
[ROW][C]104[/C][C]1.24[/C][C]1.26031[/C][C]1.25792[/C][C]0.00239583[/C][C]-0.0203125[/C][/ROW]
[ROW][C]105[/C][C]1.24[/C][C]1.23719[/C][C]1.25417[/C][C]-0.0169792[/C][C]0.0028125[/C][/ROW]
[ROW][C]106[/C][C]1.24[/C][C]1.24653[/C][C]1.25292[/C][C]-0.00638889[/C][C]-0.00652778[/C][/ROW]
[ROW][C]107[/C][C]1.24[/C][C]1.25306[/C][C]1.25875[/C][C]-0.00569444[/C][C]-0.0130556[/C][/ROW]
[ROW][C]108[/C][C]1.24[/C][C]1.27403[/C][C]1.27125[/C][C]0.00277778[/C][C]-0.0340278[/C][/ROW]
[ROW][C]109[/C][C]1.23[/C][C]1.28538[/C][C]1.28375[/C][C]0.00163194[/C][C]-0.0553819[/C][/ROW]
[ROW][C]110[/C][C]1.26[/C][C]1.29382[/C][C]1.29292[/C][C]0.000902778[/C][C]-0.0338194[/C][/ROW]
[ROW][C]111[/C][C]1.28[/C][C]1.28656[/C][C]1.30042[/C][C]-0.0138542[/C][C]-0.0065625[/C][/ROW]
[ROW][C]112[/C][C]1.32[/C][C]1.31378[/C][C]1.30833[/C][C]0.00545139[/C][C]0.00621528[/C][/ROW]
[ROW][C]113[/C][C]1.4[/C][C]1.32809[/C][C]1.31667[/C][C]0.0114236[/C][C]0.0719097[/C][/ROW]
[ROW][C]114[/C][C]1.41[/C][C]1.3374[/C][C]1.32667[/C][C]0.0107292[/C][C]0.0726042[/C][/ROW]
[ROW][C]115[/C][C]1.37[/C][C]1.34844[/C][C]1.34083[/C][C]0.00760417[/C][C]0.0215625[/C][/ROW]
[ROW][C]116[/C][C]1.33[/C][C]1.35698[/C][C]1.35458[/C][C]0.00239583[/C][C]-0.0269792[/C][/ROW]
[ROW][C]117[/C][C]1.33[/C][C]1.3451[/C][C]1.36208[/C][C]-0.0169792[/C][C]-0.0151042[/C][/ROW]
[ROW][C]118[/C][C]1.34[/C][C]1.35819[/C][C]1.36458[/C][C]-0.00638889[/C][C]-0.0181944[/C][/ROW]
[ROW][C]119[/C][C]1.34[/C][C]1.35681[/C][C]1.3625[/C][C]-0.00569444[/C][C]-0.0168056[/C][/ROW]
[ROW][C]120[/C][C]1.38[/C][C]1.36153[/C][C]1.35875[/C][C]0.00277778[/C][C]0.0184722[/C][/ROW]
[ROW][C]121[/C][C]1.43[/C][C]1.35913[/C][C]1.3575[/C][C]0.00163194[/C][C]0.0708681[/C][/ROW]
[ROW][C]122[/C][C]1.39[/C][C]1.36049[/C][C]1.35958[/C][C]0.000902778[/C][C]0.0295139[/C][/ROW]
[ROW][C]123[/C][C]1.33[/C][C]1.34698[/C][C]1.36083[/C][C]-0.0138542[/C][C]-0.0169792[/C][/ROW]
[ROW][C]124[/C][C]1.33[/C][C]1.36712[/C][C]1.36167[/C][C]0.00545139[/C][C]-0.0371181[/C][/ROW]
[ROW][C]125[/C][C]1.34[/C][C]1.37309[/C][C]1.36167[/C][C]0.0114236[/C][C]-0.0330903[/C][/ROW]
[ROW][C]126[/C][C]1.38[/C][C]1.3674[/C][C]1.35667[/C][C]0.0107292[/C][C]0.0126042[/C][/ROW]
[ROW][C]127[/C][C]1.37[/C][C]1.3551[/C][C]1.3475[/C][C]0.00760417[/C][C]0.0148958[/C][/ROW]
[ROW][C]128[/C][C]1.38[/C][C]1.34073[/C][C]1.33833[/C][C]0.00239583[/C][C]0.0392708[/C][/ROW]
[ROW][C]129[/C][C]1.31[/C][C]1.31719[/C][C]1.33417[/C][C]-0.0169792[/C][C]-0.0071875[/C][/ROW]
[ROW][C]130[/C][C]1.38[/C][C]1.32653[/C][C]1.33292[/C][C]-0.00638889[/C][C]0.0534722[/C][/ROW]
[ROW][C]131[/C][C]1.3[/C][C]1.32556[/C][C]1.33125[/C][C]-0.00569444[/C][C]-0.0255556[/C][/ROW]
[ROW][C]132[/C][C]1.3[/C][C]1.32944[/C][C]1.32667[/C][C]0.00277778[/C][C]-0.0294444[/C][/ROW]
[ROW][C]133[/C][C]1.29[/C][C]1.32247[/C][C]1.32083[/C][C]0.00163194[/C][C]-0.0324653[/C][/ROW]
[ROW][C]134[/C][C]1.31[/C][C]1.31715[/C][C]1.31625[/C][C]0.000902778[/C][C]-0.00715278[/C][/ROW]
[ROW][C]135[/C][C]1.31[/C][C]1.30156[/C][C]1.31542[/C][C]-0.0138542[/C][C]0.0084375[/C][/ROW]
[ROW][C]136[/C][C]1.32[/C][C]1.32378[/C][C]1.31833[/C][C]0.00545139[/C][C]-0.00378472[/C][/ROW]
[ROW][C]137[/C][C]1.31[/C][C]1.33642[/C][C]1.325[/C][C]0.0114236[/C][C]-0.0264236[/C][/ROW]
[ROW][C]138[/C][C]1.3[/C][C]1.34323[/C][C]1.3325[/C][C]0.0107292[/C][C]-0.0432292[/C][/ROW]
[ROW][C]139[/C][C]1.31[/C][C]1.34552[/C][C]1.33792[/C][C]0.00760417[/C][C]-0.0355208[/C][/ROW]
[ROW][C]140[/C][C]1.33[/C][C]1.34448[/C][C]1.34208[/C][C]0.00239583[/C][C]-0.0144792[/C][/ROW]
[ROW][C]141[/C][C]1.34[/C][C]1.3276[/C][C]1.34458[/C][C]-0.0169792[/C][C]0.0123958[/C][/ROW]
[ROW][C]142[/C][C]1.42[/C][C]1.33986[/C][C]1.34625[/C][C]-0.00638889[/C][C]0.0801389[/C][/ROW]
[ROW][C]143[/C][C]1.42[/C][C]1.34097[/C][C]1.34667[/C][C]-0.00569444[/C][C]0.0790278[/C][/ROW]
[ROW][C]144[/C][C]1.36[/C][C]1.34736[/C][C]1.34458[/C][C]0.00277778[/C][C]0.0126389[/C][/ROW]
[ROW][C]145[/C][C]1.36[/C][C]1.3408[/C][C]1.33917[/C][C]0.00163194[/C][C]0.0192014[/C][/ROW]
[ROW][C]146[/C][C]1.34[/C][C]1.33007[/C][C]1.32917[/C][C]0.000902778[/C][C]0.00993056[/C][/ROW]
[ROW][C]147[/C][C]1.34[/C][C]1.3024[/C][C]1.31625[/C][C]-0.0138542[/C][C]0.0376042[/C][/ROW]
[ROW][C]148[/C][C]1.33[/C][C]1.30587[/C][C]1.30042[/C][C]0.00545139[/C][C]0.0241319[/C][/ROW]
[ROW][C]149[/C][C]1.31[/C][C]1.29267[/C][C]1.28125[/C][C]0.0114236[/C][C]0.0173264[/C][/ROW]
[ROW][C]150[/C][C]1.25[/C][C]1.27531[/C][C]1.26458[/C][C]0.0107292[/C][C]-0.0253125[/C][/ROW]
[ROW][C]151[/C][C]1.23[/C][C]NA[/C][C]NA[/C][C]0.00760417[/C][C]NA[/C][/ROW]
[ROW][C]152[/C][C]1.17[/C][C]NA[/C][C]NA[/C][C]0.00239583[/C][C]NA[/C][/ROW]
[ROW][C]153[/C][C]1.19[/C][C]NA[/C][C]NA[/C][C]-0.0169792[/C][C]NA[/C][/ROW]
[ROW][C]154[/C][C]1.19[/C][C]NA[/C][C]NA[/C][C]-0.00638889[/C][C]NA[/C][/ROW]
[ROW][C]155[/C][C]1.19[/C][C]NA[/C][C]NA[/C][C]-0.00569444[/C][C]NA[/C][/ROW]
[ROW][C]156[/C][C]1.19[/C][C]NA[/C][C]NA[/C][C]0.00277778[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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	1.56	NA	NA	0.00163194	NA
2	1.56	NA	NA	0.000902778	NA
3	1.54	NA	NA	-0.0138542	NA
4	1.54	NA	NA	0.00545139	NA
5	1.54	NA	NA	0.0114236	NA
6	1.54	NA	NA	0.0107292	NA
7	1.57	1.56677	1.55917	0.00760417	0.00322917
8	1.58	1.5624	1.56	0.00239583	0.0176042
9	1.57	1.54552	1.5625	-0.0169792	0.0244792
10	1.57	1.55944	1.56583	-0.00638889	0.0105556
11	1.57	1.56347	1.56917	-0.00569444	0.00652778
12	1.57	1.57319	1.57042	0.00277778	-0.00319444
13	1.56	1.56788	1.56625	0.00163194	-0.00788194
14	1.58	1.55924	1.55833	0.000902778	0.0207639
15	1.58	1.53656	1.55042	-0.0138542	0.0434375
16	1.58	1.54837	1.54292	0.00545139	0.0316319
17	1.58	1.54684	1.53542	0.0114236	0.0331597
18	1.53	1.5424	1.53167	0.0107292	-0.0123958
19	1.48	1.53969	1.53208	0.00760417	-0.0596875
20	1.48	1.53448	1.53208	0.00239583	-0.0544792
21	1.48	1.51552	1.5325	-0.0169792	-0.0355208
22	1.48	1.52778	1.53417	-0.00638889	-0.0477778
23	1.48	1.53222	1.53792	-0.00569444	-0.0522222
24	1.57	1.55111	1.54833	0.00277778	0.0188889
25	1.57	1.56705	1.56542	0.00163194	0.00295139
26	1.57	1.58549	1.58458	0.000902778	-0.0154861
27	1.6	1.59115	1.605	-0.0138542	0.00885417
28	1.6	1.63378	1.62833	0.00545139	-0.0337847
29	1.65	1.66726	1.65583	0.0114236	-0.0172569
30	1.71	1.69281	1.68208	0.0107292	0.0171875
31	1.71	1.70885	1.70125	0.00760417	0.00114583
32	1.71	1.71781	1.71542	0.00239583	-0.0078125
33	1.74	1.70719	1.72417	-0.0169792	0.0328125
34	1.78	1.72236	1.72875	-0.00638889	0.0576389
35	1.84	1.72556	1.73125	-0.00569444	0.114444
36	1.84	1.73236	1.72958	0.00277778	0.107639
37	1.76	1.72705	1.72542	0.00163194	0.0329514
38	1.72	1.72007	1.71917	0.000902778	-6.94444e-05
39	1.66	1.69323	1.70708	-0.0138542	-0.0332292
40	1.65	1.69545	1.69	0.00545139	-0.0454514
41	1.66	1.68017	1.66875	0.0114236	-0.0201736
42	1.66	1.65531	1.64458	0.0107292	0.0046875
43	1.66	1.63385	1.62625	0.00760417	0.0261458
44	1.61	1.6149	1.6125	0.00239583	-0.00489583
45	1.55	1.58052	1.5975	-0.0169792	-0.0305208
46	1.56	1.57403	1.58042	-0.00638889	-0.0140278
47	1.55	1.55514	1.56083	-0.00569444	-0.00513889
48	1.55	1.54361	1.54083	0.00277778	0.00638889
49	1.61	1.52288	1.52125	0.00163194	0.0871181
50	1.54	1.50632	1.50542	0.000902778	0.0336806
51	1.48	1.48323	1.49708	-0.0138542	-0.00322917
52	1.42	1.4967	1.49125	0.00545139	-0.0767014
53	1.42	1.49392	1.4825	0.0114236	-0.0739236
54	1.42	1.48281	1.47208	0.0107292	-0.0628125
55	1.43	1.4651	1.4575	0.00760417	-0.0351042
56	1.46	1.44365	1.44125	0.00239583	0.0163542
57	1.5	1.41302	1.43	-0.0169792	0.0869792
58	1.47	1.42319	1.42958	-0.00638889	0.0468056
59	1.43	1.42972	1.43542	-0.00569444	0.000277778
60	1.42	1.44236	1.43958	0.00277778	-0.0223611
61	1.39	1.44747	1.44583	0.00163194	-0.0574653
62	1.37	1.45465	1.45375	0.000902778	-0.0846528
63	1.38	1.44365	1.4575	-0.0138542	-0.0636458
64	1.51	1.46503	1.45958	0.00545139	0.0449653
65	1.47	1.47726	1.46583	0.0114236	-0.00725694
66	1.47	1.48531	1.47458	0.0107292	-0.0153125
67	1.53	1.49219	1.48458	0.00760417	0.0378125
68	1.55	1.50198	1.49958	0.00239583	0.0480208
69	1.5	1.49802	1.515	-0.0169792	0.00197917
70	1.52	1.51986	1.52625	-0.00638889	0.000138889
71	1.53	1.53264	1.53833	-0.00569444	-0.00263889
72	1.53	1.55694	1.55417	0.00277778	-0.0269444
73	1.52	1.5733	1.57167	0.00163194	-0.0532986
74	1.6	1.58674	1.58583	0.000902778	0.0132639
75	1.52	1.5824	1.59625	-0.0138542	-0.0623958
76	1.64	1.60628	1.60083	0.00545139	0.0337153
77	1.63	1.61309	1.60167	0.0114236	0.0169097
78	1.69	1.61448	1.60375	0.0107292	0.0755208
79	1.73	1.61427	1.60667	0.00760417	0.115729
80	1.69	1.60906	1.60667	0.00239583	0.0809375
81	1.61	1.58885	1.60583	-0.0169792	0.0211458
82	1.52	1.59569	1.60208	-0.00638889	-0.0756944
83	1.55	1.58806	1.59375	-0.00569444	-0.0380556
84	1.56	1.58403	1.58125	0.00277778	-0.0240278
85	1.56	1.55955	1.55792	0.00163194	0.000451389
86	1.56	1.52965	1.52875	0.000902778	0.0303472
87	1.54	1.48656	1.50042	-0.0138542	0.0534375
88	1.53	1.48212	1.47667	0.00545139	0.0478819
89	1.54	1.46767	1.45625	0.0114236	0.0723264
90	1.48	1.44615	1.43542	0.0107292	0.0338542
91	1.38	1.42219	1.41458	0.00760417	-0.0421875
92	1.34	1.39615	1.39375	0.00239583	-0.0561458
93	1.28	1.35719	1.37417	-0.0169792	-0.0771875
94	1.28	1.34944	1.35583	-0.00638889	-0.0694444
95	1.3	1.32972	1.33542	-0.00569444	-0.0297222
96	1.31	1.31694	1.31417	0.00277778	-0.00694444
97	1.31	1.29997	1.29833	0.00163194	0.0100347
98	1.31	1.28924	1.28833	0.000902778	0.0207639
99	1.32	1.26865	1.2825	-0.0138542	0.0513542
100	1.31	1.28462	1.27917	0.00545139	0.0253819
101	1.27	1.28642	1.275	0.0114236	-0.0164236
102	1.24	1.28031	1.26958	0.0107292	-0.0403125
103	1.24	1.27094	1.26333	0.00760417	-0.0309375
104	1.24	1.26031	1.25792	0.00239583	-0.0203125
105	1.24	1.23719	1.25417	-0.0169792	0.0028125
106	1.24	1.24653	1.25292	-0.00638889	-0.00652778
107	1.24	1.25306	1.25875	-0.00569444	-0.0130556
108	1.24	1.27403	1.27125	0.00277778	-0.0340278
109	1.23	1.28538	1.28375	0.00163194	-0.0553819
110	1.26	1.29382	1.29292	0.000902778	-0.0338194
111	1.28	1.28656	1.30042	-0.0138542	-0.0065625
112	1.32	1.31378	1.30833	0.00545139	0.00621528
113	1.4	1.32809	1.31667	0.0114236	0.0719097
114	1.41	1.3374	1.32667	0.0107292	0.0726042
115	1.37	1.34844	1.34083	0.00760417	0.0215625
116	1.33	1.35698	1.35458	0.00239583	-0.0269792
117	1.33	1.3451	1.36208	-0.0169792	-0.0151042
118	1.34	1.35819	1.36458	-0.00638889	-0.0181944
119	1.34	1.35681	1.3625	-0.00569444	-0.0168056
120	1.38	1.36153	1.35875	0.00277778	0.0184722
121	1.43	1.35913	1.3575	0.00163194	0.0708681
122	1.39	1.36049	1.35958	0.000902778	0.0295139
123	1.33	1.34698	1.36083	-0.0138542	-0.0169792
124	1.33	1.36712	1.36167	0.00545139	-0.0371181
125	1.34	1.37309	1.36167	0.0114236	-0.0330903
126	1.38	1.3674	1.35667	0.0107292	0.0126042
127	1.37	1.3551	1.3475	0.00760417	0.0148958
128	1.38	1.34073	1.33833	0.00239583	0.0392708
129	1.31	1.31719	1.33417	-0.0169792	-0.0071875
130	1.38	1.32653	1.33292	-0.00638889	0.0534722
131	1.3	1.32556	1.33125	-0.00569444	-0.0255556
132	1.3	1.32944	1.32667	0.00277778	-0.0294444
133	1.29	1.32247	1.32083	0.00163194	-0.0324653
134	1.31	1.31715	1.31625	0.000902778	-0.00715278
135	1.31	1.30156	1.31542	-0.0138542	0.0084375
136	1.32	1.32378	1.31833	0.00545139	-0.00378472
137	1.31	1.33642	1.325	0.0114236	-0.0264236
138	1.3	1.34323	1.3325	0.0107292	-0.0432292
139	1.31	1.34552	1.33792	0.00760417	-0.0355208
140	1.33	1.34448	1.34208	0.00239583	-0.0144792
141	1.34	1.3276	1.34458	-0.0169792	0.0123958
142	1.42	1.33986	1.34625	-0.00638889	0.0801389
143	1.42	1.34097	1.34667	-0.00569444	0.0790278
144	1.36	1.34736	1.34458	0.00277778	0.0126389
145	1.36	1.3408	1.33917	0.00163194	0.0192014
146	1.34	1.33007	1.32917	0.000902778	0.00993056
147	1.34	1.3024	1.31625	-0.0138542	0.0376042
148	1.33	1.30587	1.30042	0.00545139	0.0241319
149	1.31	1.29267	1.28125	0.0114236	0.0173264
150	1.25	1.27531	1.26458	0.0107292	-0.0253125
151	1.23	NA	NA	0.00760417	NA
152	1.17	NA	NA	0.00239583	NA
153	1.19	NA	NA	-0.0169792	NA
154	1.19	NA	NA	-0.00638889	NA
155	1.19	NA	NA	-0.00569444	NA
156	1.19	NA	NA	0.00277778	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$trend)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
if (par1 == 'additive') a<-table.element(a,signif(m$trend[i]+m$seasonal[i],6)) else a<-table.element(a,signif(m$trend[i]*m$seasonal[i],6))
a<-table.element(a,signif(m$trend[i],6))
a<-table.element(a,signif(m$seasonal[i],6))
a<-table.element(a,signif(m$random[i],6))
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