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Author

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R Software Module

rwasp_decomposeloess.wasp

Title produced by software

Decomposition by Loess

Date of computation

Fri, 24 Dec 2010 11:02:24 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/24/t1293188430amkdieqo9wx6c27.htm/, Retrieved Tue, 30 Apr 2024 06:10:56 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=114754, Retrieved Tue, 30 Apr 2024 06:10:56 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

111

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

-     [Univariate Data Series] [] [2008-12-08 19:22:39] [d2d412c7f4d35ffbf5ee5ee89db327d4]
- RMP   [ARIMA Forecasting] [] [2010-12-14 14:23:29] [abe7df3fc544bbb0ed435b4e9982bc91]
- RMPD      [Decomposition by Loess] [] [2010-12-24 11:02:24] [29eeba0e6ce2cd83aa315a4a7ff8c4aa] [Current]

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Dataseries X:

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Histogram

Boxplots

6,4
7,7
9,2
8,6
7,4
8,6
6,2
6
6,6
5,1
4,7
5
3,6
1,9
-0,1
-5,7
-5,6
-6,4
-7,7
-8
-11,9
-15,4
-15,5
-13,4
-10,9
-10,8
-7,3
-6,5
-5,1
-5,3
-6,8
-8,4
-8,4
-9,7
-8,8
-9,6
-11,5
-11
-14,9
-16,2
-14,4
-17,3
-15,7
-12,6
-9,4
-8,1
-5,4
-4,6
-4,9
-4
-3,1
-1,3
0
-0,4
3
0,4
1,2
0,6
-1,3
-3,2
-1,8
-3,6
-4,2
-6,9
-8
-7,5
-8,2
-7,6
-3,7
-1,7
-0,7
0,2
0,6
2,2
3,3
5,3
5,5
6,3
7,7
6,5
5,5
6,9
5,7
6,9
6,1
4,8
3,7
5,8
6,8
8,5
7,2
5
4,7
2,3
2,4
0,1
1,9
1,7
2
-1,9
0,5
-1,3
-3,3
-2,8
-8
-13,9
-21,9
-28,8
-27,6
-31,4
-31,8
-29,4
-27,6
-23,6
-22,8
-18,2
-17,8
-14,2
-8,8
-7,9
-7
-7
-3,6
-2,4
-4,9
-7,7
-6,5
-5,1
-3,4
-2,8
0,8

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 Ronald Aylmer Fisher' @ 193.190.124.24

\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 Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114754&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 Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114754&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114754&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 Ronald Aylmer Fisher' @ 193.190.124.24

Seasonal Decomposition by Loess - Parameters
Component	Window	Degree	Jump
Seasonal	1311	0	132
Trend	19	1	2
Low-pass	13	1	2

\begin{tabular}{lllllllll}
\hline
Seasonal Decomposition by Loess - Parameters \tabularnewline
Component & Window & Degree & Jump \tabularnewline
Seasonal & 1311 & 0 & 132 \tabularnewline
Trend & 19 & 1 & 2 \tabularnewline
Low-pass & 13 & 1 & 2 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114754&T=1

[TABLE]
[ROW][C]Seasonal Decomposition by Loess - Parameters[/C][/ROW]
[ROW][C]Component[/C][C]Window[/C][C]Degree[/C][C]Jump[/C][/ROW]
[ROW][C]Seasonal[/C][C]1311[/C][C]0[/C][C]132[/C][/ROW]
[ROW][C]Trend[/C][C]19[/C][C]1[/C][C]2[/C][/ROW]
[ROW][C]Low-pass[/C][C]13[/C][C]1[/C][C]2[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114754&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114754&T=1

As an alternative you can also use a QR Code:

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

Seasonal Decomposition by Loess - Parameters
Component	Window	Degree	Jump
Seasonal	1311	0	132
Trend	19	1	2
Low-pass	13	1	2

Seasonal Decomposition by Loess - Time Series Components
t	Observed	Fitted	Seasonal	Trend	Remainder
1	6.4	3.93875305673375	-0.215801958110081	9.07704890137633	-2.46124694326625
2	7.7	7.22063018394759	-0.473503346178176	8.65287316223059	-0.479369816052415
3	9.2	10.2570539951293	-0.0857514182141423	8.22869742308485	1.05705399512929
4	8.6	9.7554926094968	-0.335310164495763	7.77981755499897	1.15549260949680
5	7.4	7.23574872124882	0.233313591838099	7.33093768691308	-0.164251278751181
6	8.6	10.1222880196063	0.219546022093760	6.85816595829996	1.52228801960628
7	6.2	5.8179174970845	0.196688273228663	6.38539422968684	-0.382082502915501
8	6	5.71307219917668	0.416253200419578	5.87067460040374	-0.286927800823317
9	6.6	7.38095269982601	0.46309232905335	5.35595497112064	0.780952699826009
10	5.1	5.71947426302595	-0.0705110760564296	4.55103681303048	0.619474263025952
11	4.7	5.49436108901322	0.159520256046462	3.74611865494031	0.794361089013225
12	5	7.92831492150629	-0.507535109077162	2.57922018757087	2.92831492150629
13	3.6	6.00348023790865	-0.215801958110081	1.41232172020143	2.40348023790865
14	1.9	4.24919182660465	-0.473503346178176	0.0243115195735274	2.34919182660465
15	-0.1	1.24945009926852	-0.0857514182141423	-1.36369868105438	1.34945009926852
16	-5.7	-8.07685703837869	-0.335310164495763	-2.98783279712555	-2.37685703837869
17	-5.6	-6.82134667864137	0.233313591838099	-4.61196691319673	-1.22134667864137
18	-6.4	-6.87225125899635	0.219546022093760	-6.14729476309741	-0.472251258996351
19	-7.7	-7.91406566023057	0.196688273228663	-7.6826226129981	-0.214065660230569
20	-8	-7.73530152845088	0.416253200419578	-8.6809516719687	0.264698471549124
21	-11.9	-14.5838115981140	0.46309232905335	-9.6792807309393	-2.68381159811404
22	-15.4	-20.7417955633366	-0.0705110760564296	-9.987693360607	-5.34179556333657
23	-15.5	-20.8634142657718	0.159520256046462	-10.2961059902747	-5.36341426577178
24	-13.4	-16.1343427560431	-0.507535109077162	-10.1581221348797	-2.73434275604314
25	-10.9	-11.5640597624052	-0.215801958110081	-10.0201382794847	-0.664059762405218
26	-10.8	-11.4583687287859	-0.473503346178176	-9.66812792503596	-0.658368728785867
27	-7.3	-5.19813101119864	-0.0857514182141423	-9.31611757058722	2.10186898880136
28	-6.5	-3.76810977520524	-0.335310164495763	-8.896580060299	2.73189022479476
29	-5.1	-1.95627104182733	0.233313591838099	-8.47704255001077	3.14372895817267
30	-5.3	-2.53061302746718	0.219546022093760	-8.28893299462658	2.76938697253282
31	-6.8	-5.69586483398627	0.196688273228663	-8.1008234392424	1.10413516601373
32	-8.4	-8.84234757698416	0.416253200419578	-8.37390562343542	-0.442347576984162
33	-8.4	-8.61610452142491	0.46309232905335	-8.64698780762844	-0.216104521424914
34	-9.7	-10.0049581412603	-0.0705110760564296	-9.3245307826833	-0.304958141260265
35	-8.8	-7.75744649830829	0.159520256046462	-10.0020737577382	1.04255350169171
36	-9.6	-7.90488399161076	-0.507535109077162	-10.7875808993121	1.69511600838924
37	-11.5	-11.2111100010039	-0.215801958110081	-11.5730880408860	0.288889998996066
38	-11	-9.44896831621618	-0.473503346178176	-12.0775283376056	1.55103168378382
39	-14.9	-17.1322799474605	-0.0857514182141423	-12.5819686343253	-2.23227994746055
40	-16.2	-19.4433872105998	-0.335310164495763	-12.6213026249044	-3.24338721059984
41	-14.4	-16.3726769763546	0.233313591838099	-12.6606366154835	-1.97267697635462
42	-17.3	-22.5901534155123	0.219546022093760	-12.2293926065815	-5.29015341551229
43	-15.7	-19.7985396755492	0.196688273228663	-11.7981485976795	-4.09853967554921
44	-12.6	-14.6862190030911	0.416253200419578	-10.9300341973285	-2.08621900309112
45	-9.4	-9.20117253207588	0.46309232905335	-10.0619197969775	0.198827467924117
46	-8.1	-7.29195941577546	-0.0705110760564296	-8.8375295081681	0.808040584224536
47	-5.4	-3.34638103668772	0.159520256046462	-7.61313921935874	2.05361896331228
48	-4.6	-2.41107625730022	-0.507535109077162	-6.28138863362262	2.18892374269978
49	-4.9	-4.63455999400342	-0.215801958110081	-4.9496380478865	0.265440005996577
50	-4	-3.67906891492706	-0.473503346178176	-3.84742773889476	0.320931085072940
51	-3.1	-3.36903115188283	-0.0857514182141423	-2.74521742990303	-0.269031151882828
52	-1.3	-0.197844358175629	-0.335310164495763	-2.06684547732861	1.10215564182437
53	0	1.15515993291609	0.233313591838099	-1.38847352475418	1.15515993291609
54	-0.4	0.0611368470729622	0.219546022093760	-1.08068286916672	0.461136847072962
55	3	6.5762039403506	0.196688273228663	-0.772892213579259	3.57620394035060
56	0.4	1.16858215886725	0.416253200419578	-0.784835359286826	0.768582158867248
57	1.2	2.73368617594104	0.46309232905335	-0.796778504994392	1.53368617594104
58	0.6	2.47164671475213	-0.0705110760564296	-1.20113563869570	1.87164671475213
59	-1.3	-1.15402748364945	0.159520256046462	-1.60549277239701	0.145972516350549
60	-3.2	-3.57879764346402	-0.507535109077162	-2.31366724745882	-0.378797643464023
61	-1.8	-0.362356319369298	-0.215801958110081	-3.02184172252062	1.43764368063070
62	-3.6	-3.02603356136981	-0.473503346178176	-3.70046309245202	0.573966438630192
63	-4.2	-3.93516411940245	-0.0857514182141423	-4.37908446238341	0.264835880597554
64	-6.9	-8.78371179204647	-0.335310164495763	-4.68097804345777	-1.88371179204647
65	-8	-11.2504419673060	0.233313591838099	-4.98287162453213	-3.25044196730597
66	-7.5	-10.3877615656838	0.219546022093760	-4.83178445640993	-2.88776156568383
67	-8.2	-11.9159909849409	0.196688273228663	-4.68069728828774	-3.71599098494092
68	-7.6	-11.5181560430799	0.416253200419578	-4.09809715733969	-3.91815604307988
69	-3.7	-4.3475953026617	0.46309232905335	-3.51549702639165	-0.647595302661703
70	-1.7	-0.813581416936879	-0.0705110760564296	-2.51590750700669	0.886418583063121
71	-0.7	-0.0432022684247254	0.159520256046462	-1.51631798762174	0.656797731575275
72	0.2	1.21911050007992	-0.507535109077162	-0.31157539100276	1.01911050007992
73	0.6	0.522634752493866	-0.215801958110081	0.893167205616216	-0.0773652475061344
74	2.2	2.92633478746995	-0.473503346178176	1.94716855870823	0.72633478746995
75	3.3	3.68458150641390	-0.0857514182141423	3.00116991180024	0.384581506413905
76	5.3	7.19542051539937	-0.335310164495763	3.7398896490964	1.89542051539937
77	5.5	6.28807702176934	0.233313591838099	4.47860938639256	0.788077021769345
78	6.3	7.41418986884367	0.219546022093760	4.96626410906257	1.11418986884367
79	7.7	9.74939289503875	0.196688273228663	5.45391883173258	2.04939289503875
80	6.5	6.89472958031133	0.416253200419578	5.6890172192691	0.394729580311325
81	5.5	4.61279206414104	0.46309232905335	5.92411560680561	-0.88720793585896
82	6.9	7.88562514143878	-0.0705110760564296	5.98488593461765	0.985625141438775
83	5.7	5.19482348152384	0.159520256046462	6.0456562624297	-0.505176518476162
84	6.9	8.23439921948231	-0.507535109077162	6.07313588959485	1.33439921948231
85	6.1	6.31518644135008	-0.215801958110081	6.10061551676	0.215186441350077
86	4.8	4.02476393717814	-0.473503346178176	6.04873940900004	-0.775236062821863
87	3.7	1.48888811697407	-0.0857514182141423	5.99686330124007	-2.21111188302593
88	5.8	6.16392133660161	-0.335310164495763	5.77138882789415	0.363921336601612
89	6.8	7.82077205361367	0.233313591838099	5.54591435454823	1.02077205361367
90	8.5	11.5906225156492	0.219546022093760	5.18983146225703	3.09062251564921
91	7.2	9.3695631568055	0.196688273228663	4.83374856996584	2.16956315680550
92	5	5.14434462526058	0.416253200419578	4.43940217431984	0.144344625260580
93	4.7	4.89185189227281	0.46309232905335	4.04505577867384	0.191851892272806
94	2.3	1.15112458061839	-0.0705110760564296	3.51938649543804	-1.14887541938161
95	2.4	1.6467625317513	0.159520256046462	2.99371721220224	-0.753237468248701
96	0.1	-1.59948626831758	-0.507535109077162	2.30702137739474	-1.69948626831758
97	1.9	2.39547641552283	-0.215801958110081	1.62032554258725	0.495476415522833
98	1.7	3.08707286775725	-0.473503346178176	0.786430478420922	1.38707286775725
99	2	4.13321600395955	-0.0857514182141423	-0.047464585745404	2.13321600395955
100	-1.9	-2.05811216119711	-0.335310164495763	-1.40657767430713	-0.158112161197111
101	0.5	3.53237717103075	0.233313591838099	-2.76569076286885	3.03237717103075
102	-1.3	2.11541569441428	0.219546022093760	-4.93496171650804	3.41541569441428
103	-3.3	0.307544396918575	0.196688273228663	-7.10423267014724	3.60754439691858
104	-2.8	3.81741052200449	0.416253200419578	-9.83366372242407	6.6174105220045
105	-8	-3.89999755435244	0.46309232905335	-12.5630947747009	4.10000244564756
106	-13.9	-12.4595485141452	-0.0705110760564296	-15.2699404097983	1.44045148585477
107	-21.9	-25.9827342111507	0.159520256046462	-17.9767860448958	-4.08273421115068
108	-28.8	-36.9512370486469	-0.507535109077162	-20.141227842276	-8.15123704864686
109	-27.6	-32.6785284022338	-0.215801958110081	-22.3056696396562	-5.07852840223375
110	-31.4	-38.8698703815298	-0.473503346178176	-23.456626272292	-7.46987038152982
111	-31.8	-38.906665676858	-0.0857514182141423	-24.6075829049278	-7.10666567685802
112	-29.4	-34.1199665871678	-0.335310164495763	-24.3447232483364	-4.71996658716784
113	-27.6	-31.3514500000931	0.233313591838099	-24.0818635917450	-3.75145000009314
114	-23.6	-24.872307766188	0.219546022093760	-22.5472382559058	-1.27230776618799
115	-22.8	-24.7840753531621	0.196688273228663	-21.0126129200666	-1.98407535316207
116	-18.2	-17.9462822986774	0.416253200419578	-18.8699709017421	0.253717701322554
117	-17.8	-19.3357634456357	0.46309232905335	-16.7273288834177	-1.53576344563568
118	-14.2	-13.7288951971180	-0.0705110760564296	-14.6005937268255	0.471104802881968
119	-8.8	-5.28566168581306	0.159520256046462	-12.4738585702334	3.51433831418694
120	-7.9	-4.46762878417405	-0.507535109077162	-10.8248361067488	3.43237121582595
121	-7	-4.60838439862574	-0.215801958110081	-9.17581364326418	2.39161560137426
122	-7	-5.32648291902813	-0.473503346178176	-8.20001373479369	1.67351708097187
123	-3.6	0.109965244537344	-0.0857514182141423	-7.2242138263232	3.70996524453734
124	-2.4	1.98467659902579	-0.335310164495763	-6.44936643453002	4.38467659902579
125	-4.9	-4.35879454910126	0.233313591838099	-5.67451904273684	0.541205450898744
126	-7.7	-10.6775252519225	0.219546022093760	-4.94202077017123	-2.97752525192253
127	-6.5	-8.98716577562305	0.196688273228663	-4.20952249760561	-2.48716577562305
128	-5.1	-7.06651419370329	0.416253200419578	-3.54973900671629	-1.96651419370329
129	-3.4	-4.37313681322638	0.46309232905335	-2.88995551582697	-0.973136813226377
130	-2.8	-3.25591861377560	-0.0705110760564296	-2.27357031016797	-0.455918613775596
131	0.8	3.09766484846251	0.159520256046462	-1.65718510450898	2.29766484846251

\begin{tabular}{lllllllll}
\hline
Seasonal Decomposition by Loess - Time Series Components \tabularnewline
t & Observed & Fitted & Seasonal & Trend & Remainder \tabularnewline
1 & 6.4 & 3.93875305673375 & -0.215801958110081 & 9.07704890137633 & -2.46124694326625 \tabularnewline
2 & 7.7 & 7.22063018394759 & -0.473503346178176 & 8.65287316223059 & -0.479369816052415 \tabularnewline
3 & 9.2 & 10.2570539951293 & -0.0857514182141423 & 8.22869742308485 & 1.05705399512929 \tabularnewline
4 & 8.6 & 9.7554926094968 & -0.335310164495763 & 7.77981755499897 & 1.15549260949680 \tabularnewline
5 & 7.4 & 7.23574872124882 & 0.233313591838099 & 7.33093768691308 & -0.164251278751181 \tabularnewline
6 & 8.6 & 10.1222880196063 & 0.219546022093760 & 6.85816595829996 & 1.52228801960628 \tabularnewline
7 & 6.2 & 5.8179174970845 & 0.196688273228663 & 6.38539422968684 & -0.382082502915501 \tabularnewline
8 & 6 & 5.71307219917668 & 0.416253200419578 & 5.87067460040374 & -0.286927800823317 \tabularnewline
9 & 6.6 & 7.38095269982601 & 0.46309232905335 & 5.35595497112064 & 0.780952699826009 \tabularnewline
10 & 5.1 & 5.71947426302595 & -0.0705110760564296 & 4.55103681303048 & 0.619474263025952 \tabularnewline
11 & 4.7 & 5.49436108901322 & 0.159520256046462 & 3.74611865494031 & 0.794361089013225 \tabularnewline
12 & 5 & 7.92831492150629 & -0.507535109077162 & 2.57922018757087 & 2.92831492150629 \tabularnewline
13 & 3.6 & 6.00348023790865 & -0.215801958110081 & 1.41232172020143 & 2.40348023790865 \tabularnewline
14 & 1.9 & 4.24919182660465 & -0.473503346178176 & 0.0243115195735274 & 2.34919182660465 \tabularnewline
15 & -0.1 & 1.24945009926852 & -0.0857514182141423 & -1.36369868105438 & 1.34945009926852 \tabularnewline
16 & -5.7 & -8.07685703837869 & -0.335310164495763 & -2.98783279712555 & -2.37685703837869 \tabularnewline
17 & -5.6 & -6.82134667864137 & 0.233313591838099 & -4.61196691319673 & -1.22134667864137 \tabularnewline
18 & -6.4 & -6.87225125899635 & 0.219546022093760 & -6.14729476309741 & -0.472251258996351 \tabularnewline
19 & -7.7 & -7.91406566023057 & 0.196688273228663 & -7.6826226129981 & -0.214065660230569 \tabularnewline
20 & -8 & -7.73530152845088 & 0.416253200419578 & -8.6809516719687 & 0.264698471549124 \tabularnewline
21 & -11.9 & -14.5838115981140 & 0.46309232905335 & -9.6792807309393 & -2.68381159811404 \tabularnewline
22 & -15.4 & -20.7417955633366 & -0.0705110760564296 & -9.987693360607 & -5.34179556333657 \tabularnewline
23 & -15.5 & -20.8634142657718 & 0.159520256046462 & -10.2961059902747 & -5.36341426577178 \tabularnewline
24 & -13.4 & -16.1343427560431 & -0.507535109077162 & -10.1581221348797 & -2.73434275604314 \tabularnewline
25 & -10.9 & -11.5640597624052 & -0.215801958110081 & -10.0201382794847 & -0.664059762405218 \tabularnewline
26 & -10.8 & -11.4583687287859 & -0.473503346178176 & -9.66812792503596 & -0.658368728785867 \tabularnewline
27 & -7.3 & -5.19813101119864 & -0.0857514182141423 & -9.31611757058722 & 2.10186898880136 \tabularnewline
28 & -6.5 & -3.76810977520524 & -0.335310164495763 & -8.896580060299 & 2.73189022479476 \tabularnewline
29 & -5.1 & -1.95627104182733 & 0.233313591838099 & -8.47704255001077 & 3.14372895817267 \tabularnewline
30 & -5.3 & -2.53061302746718 & 0.219546022093760 & -8.28893299462658 & 2.76938697253282 \tabularnewline
31 & -6.8 & -5.69586483398627 & 0.196688273228663 & -8.1008234392424 & 1.10413516601373 \tabularnewline
32 & -8.4 & -8.84234757698416 & 0.416253200419578 & -8.37390562343542 & -0.442347576984162 \tabularnewline
33 & -8.4 & -8.61610452142491 & 0.46309232905335 & -8.64698780762844 & -0.216104521424914 \tabularnewline
34 & -9.7 & -10.0049581412603 & -0.0705110760564296 & -9.3245307826833 & -0.304958141260265 \tabularnewline
35 & -8.8 & -7.75744649830829 & 0.159520256046462 & -10.0020737577382 & 1.04255350169171 \tabularnewline
36 & -9.6 & -7.90488399161076 & -0.507535109077162 & -10.7875808993121 & 1.69511600838924 \tabularnewline
37 & -11.5 & -11.2111100010039 & -0.215801958110081 & -11.5730880408860 & 0.288889998996066 \tabularnewline
38 & -11 & -9.44896831621618 & -0.473503346178176 & -12.0775283376056 & 1.55103168378382 \tabularnewline
39 & -14.9 & -17.1322799474605 & -0.0857514182141423 & -12.5819686343253 & -2.23227994746055 \tabularnewline
40 & -16.2 & -19.4433872105998 & -0.335310164495763 & -12.6213026249044 & -3.24338721059984 \tabularnewline
41 & -14.4 & -16.3726769763546 & 0.233313591838099 & -12.6606366154835 & -1.97267697635462 \tabularnewline
42 & -17.3 & -22.5901534155123 & 0.219546022093760 & -12.2293926065815 & -5.29015341551229 \tabularnewline
43 & -15.7 & -19.7985396755492 & 0.196688273228663 & -11.7981485976795 & -4.09853967554921 \tabularnewline
44 & -12.6 & -14.6862190030911 & 0.416253200419578 & -10.9300341973285 & -2.08621900309112 \tabularnewline
45 & -9.4 & -9.20117253207588 & 0.46309232905335 & -10.0619197969775 & 0.198827467924117 \tabularnewline
46 & -8.1 & -7.29195941577546 & -0.0705110760564296 & -8.8375295081681 & 0.808040584224536 \tabularnewline
47 & -5.4 & -3.34638103668772 & 0.159520256046462 & -7.61313921935874 & 2.05361896331228 \tabularnewline
48 & -4.6 & -2.41107625730022 & -0.507535109077162 & -6.28138863362262 & 2.18892374269978 \tabularnewline
49 & -4.9 & -4.63455999400342 & -0.215801958110081 & -4.9496380478865 & 0.265440005996577 \tabularnewline
50 & -4 & -3.67906891492706 & -0.473503346178176 & -3.84742773889476 & 0.320931085072940 \tabularnewline
51 & -3.1 & -3.36903115188283 & -0.0857514182141423 & -2.74521742990303 & -0.269031151882828 \tabularnewline
52 & -1.3 & -0.197844358175629 & -0.335310164495763 & -2.06684547732861 & 1.10215564182437 \tabularnewline
53 & 0 & 1.15515993291609 & 0.233313591838099 & -1.38847352475418 & 1.15515993291609 \tabularnewline
54 & -0.4 & 0.0611368470729622 & 0.219546022093760 & -1.08068286916672 & 0.461136847072962 \tabularnewline
55 & 3 & 6.5762039403506 & 0.196688273228663 & -0.772892213579259 & 3.57620394035060 \tabularnewline
56 & 0.4 & 1.16858215886725 & 0.416253200419578 & -0.784835359286826 & 0.768582158867248 \tabularnewline
57 & 1.2 & 2.73368617594104 & 0.46309232905335 & -0.796778504994392 & 1.53368617594104 \tabularnewline
58 & 0.6 & 2.47164671475213 & -0.0705110760564296 & -1.20113563869570 & 1.87164671475213 \tabularnewline
59 & -1.3 & -1.15402748364945 & 0.159520256046462 & -1.60549277239701 & 0.145972516350549 \tabularnewline
60 & -3.2 & -3.57879764346402 & -0.507535109077162 & -2.31366724745882 & -0.378797643464023 \tabularnewline
61 & -1.8 & -0.362356319369298 & -0.215801958110081 & -3.02184172252062 & 1.43764368063070 \tabularnewline
62 & -3.6 & -3.02603356136981 & -0.473503346178176 & -3.70046309245202 & 0.573966438630192 \tabularnewline
63 & -4.2 & -3.93516411940245 & -0.0857514182141423 & -4.37908446238341 & 0.264835880597554 \tabularnewline
64 & -6.9 & -8.78371179204647 & -0.335310164495763 & -4.68097804345777 & -1.88371179204647 \tabularnewline
65 & -8 & -11.2504419673060 & 0.233313591838099 & -4.98287162453213 & -3.25044196730597 \tabularnewline
66 & -7.5 & -10.3877615656838 & 0.219546022093760 & -4.83178445640993 & -2.88776156568383 \tabularnewline
67 & -8.2 & -11.9159909849409 & 0.196688273228663 & -4.68069728828774 & -3.71599098494092 \tabularnewline
68 & -7.6 & -11.5181560430799 & 0.416253200419578 & -4.09809715733969 & -3.91815604307988 \tabularnewline
69 & -3.7 & -4.3475953026617 & 0.46309232905335 & -3.51549702639165 & -0.647595302661703 \tabularnewline
70 & -1.7 & -0.813581416936879 & -0.0705110760564296 & -2.51590750700669 & 0.886418583063121 \tabularnewline
71 & -0.7 & -0.0432022684247254 & 0.159520256046462 & -1.51631798762174 & 0.656797731575275 \tabularnewline
72 & 0.2 & 1.21911050007992 & -0.507535109077162 & -0.31157539100276 & 1.01911050007992 \tabularnewline
73 & 0.6 & 0.522634752493866 & -0.215801958110081 & 0.893167205616216 & -0.0773652475061344 \tabularnewline
74 & 2.2 & 2.92633478746995 & -0.473503346178176 & 1.94716855870823 & 0.72633478746995 \tabularnewline
75 & 3.3 & 3.68458150641390 & -0.0857514182141423 & 3.00116991180024 & 0.384581506413905 \tabularnewline
76 & 5.3 & 7.19542051539937 & -0.335310164495763 & 3.7398896490964 & 1.89542051539937 \tabularnewline
77 & 5.5 & 6.28807702176934 & 0.233313591838099 & 4.47860938639256 & 0.788077021769345 \tabularnewline
78 & 6.3 & 7.41418986884367 & 0.219546022093760 & 4.96626410906257 & 1.11418986884367 \tabularnewline
79 & 7.7 & 9.74939289503875 & 0.196688273228663 & 5.45391883173258 & 2.04939289503875 \tabularnewline
80 & 6.5 & 6.89472958031133 & 0.416253200419578 & 5.6890172192691 & 0.394729580311325 \tabularnewline
81 & 5.5 & 4.61279206414104 & 0.46309232905335 & 5.92411560680561 & -0.88720793585896 \tabularnewline
82 & 6.9 & 7.88562514143878 & -0.0705110760564296 & 5.98488593461765 & 0.985625141438775 \tabularnewline
83 & 5.7 & 5.19482348152384 & 0.159520256046462 & 6.0456562624297 & -0.505176518476162 \tabularnewline
84 & 6.9 & 8.23439921948231 & -0.507535109077162 & 6.07313588959485 & 1.33439921948231 \tabularnewline
85 & 6.1 & 6.31518644135008 & -0.215801958110081 & 6.10061551676 & 0.215186441350077 \tabularnewline
86 & 4.8 & 4.02476393717814 & -0.473503346178176 & 6.04873940900004 & -0.775236062821863 \tabularnewline
87 & 3.7 & 1.48888811697407 & -0.0857514182141423 & 5.99686330124007 & -2.21111188302593 \tabularnewline
88 & 5.8 & 6.16392133660161 & -0.335310164495763 & 5.77138882789415 & 0.363921336601612 \tabularnewline
89 & 6.8 & 7.82077205361367 & 0.233313591838099 & 5.54591435454823 & 1.02077205361367 \tabularnewline
90 & 8.5 & 11.5906225156492 & 0.219546022093760 & 5.18983146225703 & 3.09062251564921 \tabularnewline
91 & 7.2 & 9.3695631568055 & 0.196688273228663 & 4.83374856996584 & 2.16956315680550 \tabularnewline
92 & 5 & 5.14434462526058 & 0.416253200419578 & 4.43940217431984 & 0.144344625260580 \tabularnewline
93 & 4.7 & 4.89185189227281 & 0.46309232905335 & 4.04505577867384 & 0.191851892272806 \tabularnewline
94 & 2.3 & 1.15112458061839 & -0.0705110760564296 & 3.51938649543804 & -1.14887541938161 \tabularnewline
95 & 2.4 & 1.6467625317513 & 0.159520256046462 & 2.99371721220224 & -0.753237468248701 \tabularnewline
96 & 0.1 & -1.59948626831758 & -0.507535109077162 & 2.30702137739474 & -1.69948626831758 \tabularnewline
97 & 1.9 & 2.39547641552283 & -0.215801958110081 & 1.62032554258725 & 0.495476415522833 \tabularnewline
98 & 1.7 & 3.08707286775725 & -0.473503346178176 & 0.786430478420922 & 1.38707286775725 \tabularnewline
99 & 2 & 4.13321600395955 & -0.0857514182141423 & -0.047464585745404 & 2.13321600395955 \tabularnewline
100 & -1.9 & -2.05811216119711 & -0.335310164495763 & -1.40657767430713 & -0.158112161197111 \tabularnewline
101 & 0.5 & 3.53237717103075 & 0.233313591838099 & -2.76569076286885 & 3.03237717103075 \tabularnewline
102 & -1.3 & 2.11541569441428 & 0.219546022093760 & -4.93496171650804 & 3.41541569441428 \tabularnewline
103 & -3.3 & 0.307544396918575 & 0.196688273228663 & -7.10423267014724 & 3.60754439691858 \tabularnewline
104 & -2.8 & 3.81741052200449 & 0.416253200419578 & -9.83366372242407 & 6.6174105220045 \tabularnewline
105 & -8 & -3.89999755435244 & 0.46309232905335 & -12.5630947747009 & 4.10000244564756 \tabularnewline
106 & -13.9 & -12.4595485141452 & -0.0705110760564296 & -15.2699404097983 & 1.44045148585477 \tabularnewline
107 & -21.9 & -25.9827342111507 & 0.159520256046462 & -17.9767860448958 & -4.08273421115068 \tabularnewline
108 & -28.8 & -36.9512370486469 & -0.507535109077162 & -20.141227842276 & -8.15123704864686 \tabularnewline
109 & -27.6 & -32.6785284022338 & -0.215801958110081 & -22.3056696396562 & -5.07852840223375 \tabularnewline
110 & -31.4 & -38.8698703815298 & -0.473503346178176 & -23.456626272292 & -7.46987038152982 \tabularnewline
111 & -31.8 & -38.906665676858 & -0.0857514182141423 & -24.6075829049278 & -7.10666567685802 \tabularnewline
112 & -29.4 & -34.1199665871678 & -0.335310164495763 & -24.3447232483364 & -4.71996658716784 \tabularnewline
113 & -27.6 & -31.3514500000931 & 0.233313591838099 & -24.0818635917450 & -3.75145000009314 \tabularnewline
114 & -23.6 & -24.872307766188 & 0.219546022093760 & -22.5472382559058 & -1.27230776618799 \tabularnewline
115 & -22.8 & -24.7840753531621 & 0.196688273228663 & -21.0126129200666 & -1.98407535316207 \tabularnewline
116 & -18.2 & -17.9462822986774 & 0.416253200419578 & -18.8699709017421 & 0.253717701322554 \tabularnewline
117 & -17.8 & -19.3357634456357 & 0.46309232905335 & -16.7273288834177 & -1.53576344563568 \tabularnewline
118 & -14.2 & -13.7288951971180 & -0.0705110760564296 & -14.6005937268255 & 0.471104802881968 \tabularnewline
119 & -8.8 & -5.28566168581306 & 0.159520256046462 & -12.4738585702334 & 3.51433831418694 \tabularnewline
120 & -7.9 & -4.46762878417405 & -0.507535109077162 & -10.8248361067488 & 3.43237121582595 \tabularnewline
121 & -7 & -4.60838439862574 & -0.215801958110081 & -9.17581364326418 & 2.39161560137426 \tabularnewline
122 & -7 & -5.32648291902813 & -0.473503346178176 & -8.20001373479369 & 1.67351708097187 \tabularnewline
123 & -3.6 & 0.109965244537344 & -0.0857514182141423 & -7.2242138263232 & 3.70996524453734 \tabularnewline
124 & -2.4 & 1.98467659902579 & -0.335310164495763 & -6.44936643453002 & 4.38467659902579 \tabularnewline
125 & -4.9 & -4.35879454910126 & 0.233313591838099 & -5.67451904273684 & 0.541205450898744 \tabularnewline
126 & -7.7 & -10.6775252519225 & 0.219546022093760 & -4.94202077017123 & -2.97752525192253 \tabularnewline
127 & -6.5 & -8.98716577562305 & 0.196688273228663 & -4.20952249760561 & -2.48716577562305 \tabularnewline
128 & -5.1 & -7.06651419370329 & 0.416253200419578 & -3.54973900671629 & -1.96651419370329 \tabularnewline
129 & -3.4 & -4.37313681322638 & 0.46309232905335 & -2.88995551582697 & -0.973136813226377 \tabularnewline
130 & -2.8 & -3.25591861377560 & -0.0705110760564296 & -2.27357031016797 & -0.455918613775596 \tabularnewline
131 & 0.8 & 3.09766484846251 & 0.159520256046462 & -1.65718510450898 & 2.29766484846251 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114754&T=2

[TABLE]
[ROW][C]Seasonal Decomposition by Loess - Time Series Components[/C][/ROW]
[ROW][C]t[/C][C]Observed[/C][C]Fitted[/C][C]Seasonal[/C][C]Trend[/C][C]Remainder[/C][/ROW]
[ROW][C]1[/C][C]6.4[/C][C]3.93875305673375[/C][C]-0.215801958110081[/C][C]9.07704890137633[/C][C]-2.46124694326625[/C][/ROW]
[ROW][C]2[/C][C]7.7[/C][C]7.22063018394759[/C][C]-0.473503346178176[/C][C]8.65287316223059[/C][C]-0.479369816052415[/C][/ROW]
[ROW][C]3[/C][C]9.2[/C][C]10.2570539951293[/C][C]-0.0857514182141423[/C][C]8.22869742308485[/C][C]1.05705399512929[/C][/ROW]
[ROW][C]4[/C][C]8.6[/C][C]9.7554926094968[/C][C]-0.335310164495763[/C][C]7.77981755499897[/C][C]1.15549260949680[/C][/ROW]
[ROW][C]5[/C][C]7.4[/C][C]7.23574872124882[/C][C]0.233313591838099[/C][C]7.33093768691308[/C][C]-0.164251278751181[/C][/ROW]
[ROW][C]6[/C][C]8.6[/C][C]10.1222880196063[/C][C]0.219546022093760[/C][C]6.85816595829996[/C][C]1.52228801960628[/C][/ROW]
[ROW][C]7[/C][C]6.2[/C][C]5.8179174970845[/C][C]0.196688273228663[/C][C]6.38539422968684[/C][C]-0.382082502915501[/C][/ROW]
[ROW][C]8[/C][C]6[/C][C]5.71307219917668[/C][C]0.416253200419578[/C][C]5.87067460040374[/C][C]-0.286927800823317[/C][/ROW]
[ROW][C]9[/C][C]6.6[/C][C]7.38095269982601[/C][C]0.46309232905335[/C][C]5.35595497112064[/C][C]0.780952699826009[/C][/ROW]
[ROW][C]10[/C][C]5.1[/C][C]5.71947426302595[/C][C]-0.0705110760564296[/C][C]4.55103681303048[/C][C]0.619474263025952[/C][/ROW]
[ROW][C]11[/C][C]4.7[/C][C]5.49436108901322[/C][C]0.159520256046462[/C][C]3.74611865494031[/C][C]0.794361089013225[/C][/ROW]
[ROW][C]12[/C][C]5[/C][C]7.92831492150629[/C][C]-0.507535109077162[/C][C]2.57922018757087[/C][C]2.92831492150629[/C][/ROW]
[ROW][C]13[/C][C]3.6[/C][C]6.00348023790865[/C][C]-0.215801958110081[/C][C]1.41232172020143[/C][C]2.40348023790865[/C][/ROW]
[ROW][C]14[/C][C]1.9[/C][C]4.24919182660465[/C][C]-0.473503346178176[/C][C]0.0243115195735274[/C][C]2.34919182660465[/C][/ROW]
[ROW][C]15[/C][C]-0.1[/C][C]1.24945009926852[/C][C]-0.0857514182141423[/C][C]-1.36369868105438[/C][C]1.34945009926852[/C][/ROW]
[ROW][C]16[/C][C]-5.7[/C][C]-8.07685703837869[/C][C]-0.335310164495763[/C][C]-2.98783279712555[/C][C]-2.37685703837869[/C][/ROW]
[ROW][C]17[/C][C]-5.6[/C][C]-6.82134667864137[/C][C]0.233313591838099[/C][C]-4.61196691319673[/C][C]-1.22134667864137[/C][/ROW]
[ROW][C]18[/C][C]-6.4[/C][C]-6.87225125899635[/C][C]0.219546022093760[/C][C]-6.14729476309741[/C][C]-0.472251258996351[/C][/ROW]
[ROW][C]19[/C][C]-7.7[/C][C]-7.91406566023057[/C][C]0.196688273228663[/C][C]-7.6826226129981[/C][C]-0.214065660230569[/C][/ROW]
[ROW][C]20[/C][C]-8[/C][C]-7.73530152845088[/C][C]0.416253200419578[/C][C]-8.6809516719687[/C][C]0.264698471549124[/C][/ROW]
[ROW][C]21[/C][C]-11.9[/C][C]-14.5838115981140[/C][C]0.46309232905335[/C][C]-9.6792807309393[/C][C]-2.68381159811404[/C][/ROW]
[ROW][C]22[/C][C]-15.4[/C][C]-20.7417955633366[/C][C]-0.0705110760564296[/C][C]-9.987693360607[/C][C]-5.34179556333657[/C][/ROW]
[ROW][C]23[/C][C]-15.5[/C][C]-20.8634142657718[/C][C]0.159520256046462[/C][C]-10.2961059902747[/C][C]-5.36341426577178[/C][/ROW]
[ROW][C]24[/C][C]-13.4[/C][C]-16.1343427560431[/C][C]-0.507535109077162[/C][C]-10.1581221348797[/C][C]-2.73434275604314[/C][/ROW]
[ROW][C]25[/C][C]-10.9[/C][C]-11.5640597624052[/C][C]-0.215801958110081[/C][C]-10.0201382794847[/C][C]-0.664059762405218[/C][/ROW]
[ROW][C]26[/C][C]-10.8[/C][C]-11.4583687287859[/C][C]-0.473503346178176[/C][C]-9.66812792503596[/C][C]-0.658368728785867[/C][/ROW]
[ROW][C]27[/C][C]-7.3[/C][C]-5.19813101119864[/C][C]-0.0857514182141423[/C][C]-9.31611757058722[/C][C]2.10186898880136[/C][/ROW]
[ROW][C]28[/C][C]-6.5[/C][C]-3.76810977520524[/C][C]-0.335310164495763[/C][C]-8.896580060299[/C][C]2.73189022479476[/C][/ROW]
[ROW][C]29[/C][C]-5.1[/C][C]-1.95627104182733[/C][C]0.233313591838099[/C][C]-8.47704255001077[/C][C]3.14372895817267[/C][/ROW]
[ROW][C]30[/C][C]-5.3[/C][C]-2.53061302746718[/C][C]0.219546022093760[/C][C]-8.28893299462658[/C][C]2.76938697253282[/C][/ROW]
[ROW][C]31[/C][C]-6.8[/C][C]-5.69586483398627[/C][C]0.196688273228663[/C][C]-8.1008234392424[/C][C]1.10413516601373[/C][/ROW]
[ROW][C]32[/C][C]-8.4[/C][C]-8.84234757698416[/C][C]0.416253200419578[/C][C]-8.37390562343542[/C][C]-0.442347576984162[/C][/ROW]
[ROW][C]33[/C][C]-8.4[/C][C]-8.61610452142491[/C][C]0.46309232905335[/C][C]-8.64698780762844[/C][C]-0.216104521424914[/C][/ROW]
[ROW][C]34[/C][C]-9.7[/C][C]-10.0049581412603[/C][C]-0.0705110760564296[/C][C]-9.3245307826833[/C][C]-0.304958141260265[/C][/ROW]
[ROW][C]35[/C][C]-8.8[/C][C]-7.75744649830829[/C][C]0.159520256046462[/C][C]-10.0020737577382[/C][C]1.04255350169171[/C][/ROW]
[ROW][C]36[/C][C]-9.6[/C][C]-7.90488399161076[/C][C]-0.507535109077162[/C][C]-10.7875808993121[/C][C]1.69511600838924[/C][/ROW]
[ROW][C]37[/C][C]-11.5[/C][C]-11.2111100010039[/C][C]-0.215801958110081[/C][C]-11.5730880408860[/C][C]0.288889998996066[/C][/ROW]
[ROW][C]38[/C][C]-11[/C][C]-9.44896831621618[/C][C]-0.473503346178176[/C][C]-12.0775283376056[/C][C]1.55103168378382[/C][/ROW]
[ROW][C]39[/C][C]-14.9[/C][C]-17.1322799474605[/C][C]-0.0857514182141423[/C][C]-12.5819686343253[/C][C]-2.23227994746055[/C][/ROW]
[ROW][C]40[/C][C]-16.2[/C][C]-19.4433872105998[/C][C]-0.335310164495763[/C][C]-12.6213026249044[/C][C]-3.24338721059984[/C][/ROW]
[ROW][C]41[/C][C]-14.4[/C][C]-16.3726769763546[/C][C]0.233313591838099[/C][C]-12.6606366154835[/C][C]-1.97267697635462[/C][/ROW]
[ROW][C]42[/C][C]-17.3[/C][C]-22.5901534155123[/C][C]0.219546022093760[/C][C]-12.2293926065815[/C][C]-5.29015341551229[/C][/ROW]
[ROW][C]43[/C][C]-15.7[/C][C]-19.7985396755492[/C][C]0.196688273228663[/C][C]-11.7981485976795[/C][C]-4.09853967554921[/C][/ROW]
[ROW][C]44[/C][C]-12.6[/C][C]-14.6862190030911[/C][C]0.416253200419578[/C][C]-10.9300341973285[/C][C]-2.08621900309112[/C][/ROW]
[ROW][C]45[/C][C]-9.4[/C][C]-9.20117253207588[/C][C]0.46309232905335[/C][C]-10.0619197969775[/C][C]0.198827467924117[/C][/ROW]
[ROW][C]46[/C][C]-8.1[/C][C]-7.29195941577546[/C][C]-0.0705110760564296[/C][C]-8.8375295081681[/C][C]0.808040584224536[/C][/ROW]
[ROW][C]47[/C][C]-5.4[/C][C]-3.34638103668772[/C][C]0.159520256046462[/C][C]-7.61313921935874[/C][C]2.05361896331228[/C][/ROW]
[ROW][C]48[/C][C]-4.6[/C][C]-2.41107625730022[/C][C]-0.507535109077162[/C][C]-6.28138863362262[/C][C]2.18892374269978[/C][/ROW]
[ROW][C]49[/C][C]-4.9[/C][C]-4.63455999400342[/C][C]-0.215801958110081[/C][C]-4.9496380478865[/C][C]0.265440005996577[/C][/ROW]
[ROW][C]50[/C][C]-4[/C][C]-3.67906891492706[/C][C]-0.473503346178176[/C][C]-3.84742773889476[/C][C]0.320931085072940[/C][/ROW]
[ROW][C]51[/C][C]-3.1[/C][C]-3.36903115188283[/C][C]-0.0857514182141423[/C][C]-2.74521742990303[/C][C]-0.269031151882828[/C][/ROW]
[ROW][C]52[/C][C]-1.3[/C][C]-0.197844358175629[/C][C]-0.335310164495763[/C][C]-2.06684547732861[/C][C]1.10215564182437[/C][/ROW]
[ROW][C]53[/C][C]0[/C][C]1.15515993291609[/C][C]0.233313591838099[/C][C]-1.38847352475418[/C][C]1.15515993291609[/C][/ROW]
[ROW][C]54[/C][C]-0.4[/C][C]0.0611368470729622[/C][C]0.219546022093760[/C][C]-1.08068286916672[/C][C]0.461136847072962[/C][/ROW]
[ROW][C]55[/C][C]3[/C][C]6.5762039403506[/C][C]0.196688273228663[/C][C]-0.772892213579259[/C][C]3.57620394035060[/C][/ROW]
[ROW][C]56[/C][C]0.4[/C][C]1.16858215886725[/C][C]0.416253200419578[/C][C]-0.784835359286826[/C][C]0.768582158867248[/C][/ROW]
[ROW][C]57[/C][C]1.2[/C][C]2.73368617594104[/C][C]0.46309232905335[/C][C]-0.796778504994392[/C][C]1.53368617594104[/C][/ROW]
[ROW][C]58[/C][C]0.6[/C][C]2.47164671475213[/C][C]-0.0705110760564296[/C][C]-1.20113563869570[/C][C]1.87164671475213[/C][/ROW]
[ROW][C]59[/C][C]-1.3[/C][C]-1.15402748364945[/C][C]0.159520256046462[/C][C]-1.60549277239701[/C][C]0.145972516350549[/C][/ROW]
[ROW][C]60[/C][C]-3.2[/C][C]-3.57879764346402[/C][C]-0.507535109077162[/C][C]-2.31366724745882[/C][C]-0.378797643464023[/C][/ROW]
[ROW][C]61[/C][C]-1.8[/C][C]-0.362356319369298[/C][C]-0.215801958110081[/C][C]-3.02184172252062[/C][C]1.43764368063070[/C][/ROW]
[ROW][C]62[/C][C]-3.6[/C][C]-3.02603356136981[/C][C]-0.473503346178176[/C][C]-3.70046309245202[/C][C]0.573966438630192[/C][/ROW]
[ROW][C]63[/C][C]-4.2[/C][C]-3.93516411940245[/C][C]-0.0857514182141423[/C][C]-4.37908446238341[/C][C]0.264835880597554[/C][/ROW]
[ROW][C]64[/C][C]-6.9[/C][C]-8.78371179204647[/C][C]-0.335310164495763[/C][C]-4.68097804345777[/C][C]-1.88371179204647[/C][/ROW]
[ROW][C]65[/C][C]-8[/C][C]-11.2504419673060[/C][C]0.233313591838099[/C][C]-4.98287162453213[/C][C]-3.25044196730597[/C][/ROW]
[ROW][C]66[/C][C]-7.5[/C][C]-10.3877615656838[/C][C]0.219546022093760[/C][C]-4.83178445640993[/C][C]-2.88776156568383[/C][/ROW]
[ROW][C]67[/C][C]-8.2[/C][C]-11.9159909849409[/C][C]0.196688273228663[/C][C]-4.68069728828774[/C][C]-3.71599098494092[/C][/ROW]
[ROW][C]68[/C][C]-7.6[/C][C]-11.5181560430799[/C][C]0.416253200419578[/C][C]-4.09809715733969[/C][C]-3.91815604307988[/C][/ROW]
[ROW][C]69[/C][C]-3.7[/C][C]-4.3475953026617[/C][C]0.46309232905335[/C][C]-3.51549702639165[/C][C]-0.647595302661703[/C][/ROW]
[ROW][C]70[/C][C]-1.7[/C][C]-0.813581416936879[/C][C]-0.0705110760564296[/C][C]-2.51590750700669[/C][C]0.886418583063121[/C][/ROW]
[ROW][C]71[/C][C]-0.7[/C][C]-0.0432022684247254[/C][C]0.159520256046462[/C][C]-1.51631798762174[/C][C]0.656797731575275[/C][/ROW]
[ROW][C]72[/C][C]0.2[/C][C]1.21911050007992[/C][C]-0.507535109077162[/C][C]-0.31157539100276[/C][C]1.01911050007992[/C][/ROW]
[ROW][C]73[/C][C]0.6[/C][C]0.522634752493866[/C][C]-0.215801958110081[/C][C]0.893167205616216[/C][C]-0.0773652475061344[/C][/ROW]
[ROW][C]74[/C][C]2.2[/C][C]2.92633478746995[/C][C]-0.473503346178176[/C][C]1.94716855870823[/C][C]0.72633478746995[/C][/ROW]
[ROW][C]75[/C][C]3.3[/C][C]3.68458150641390[/C][C]-0.0857514182141423[/C][C]3.00116991180024[/C][C]0.384581506413905[/C][/ROW]
[ROW][C]76[/C][C]5.3[/C][C]7.19542051539937[/C][C]-0.335310164495763[/C][C]3.7398896490964[/C][C]1.89542051539937[/C][/ROW]
[ROW][C]77[/C][C]5.5[/C][C]6.28807702176934[/C][C]0.233313591838099[/C][C]4.47860938639256[/C][C]0.788077021769345[/C][/ROW]
[ROW][C]78[/C][C]6.3[/C][C]7.41418986884367[/C][C]0.219546022093760[/C][C]4.96626410906257[/C][C]1.11418986884367[/C][/ROW]
[ROW][C]79[/C][C]7.7[/C][C]9.74939289503875[/C][C]0.196688273228663[/C][C]5.45391883173258[/C][C]2.04939289503875[/C][/ROW]
[ROW][C]80[/C][C]6.5[/C][C]6.89472958031133[/C][C]0.416253200419578[/C][C]5.6890172192691[/C][C]0.394729580311325[/C][/ROW]
[ROW][C]81[/C][C]5.5[/C][C]4.61279206414104[/C][C]0.46309232905335[/C][C]5.92411560680561[/C][C]-0.88720793585896[/C][/ROW]
[ROW][C]82[/C][C]6.9[/C][C]7.88562514143878[/C][C]-0.0705110760564296[/C][C]5.98488593461765[/C][C]0.985625141438775[/C][/ROW]
[ROW][C]83[/C][C]5.7[/C][C]5.19482348152384[/C][C]0.159520256046462[/C][C]6.0456562624297[/C][C]-0.505176518476162[/C][/ROW]
[ROW][C]84[/C][C]6.9[/C][C]8.23439921948231[/C][C]-0.507535109077162[/C][C]6.07313588959485[/C][C]1.33439921948231[/C][/ROW]
[ROW][C]85[/C][C]6.1[/C][C]6.31518644135008[/C][C]-0.215801958110081[/C][C]6.10061551676[/C][C]0.215186441350077[/C][/ROW]
[ROW][C]86[/C][C]4.8[/C][C]4.02476393717814[/C][C]-0.473503346178176[/C][C]6.04873940900004[/C][C]-0.775236062821863[/C][/ROW]
[ROW][C]87[/C][C]3.7[/C][C]1.48888811697407[/C][C]-0.0857514182141423[/C][C]5.99686330124007[/C][C]-2.21111188302593[/C][/ROW]
[ROW][C]88[/C][C]5.8[/C][C]6.16392133660161[/C][C]-0.335310164495763[/C][C]5.77138882789415[/C][C]0.363921336601612[/C][/ROW]
[ROW][C]89[/C][C]6.8[/C][C]7.82077205361367[/C][C]0.233313591838099[/C][C]5.54591435454823[/C][C]1.02077205361367[/C][/ROW]
[ROW][C]90[/C][C]8.5[/C][C]11.5906225156492[/C][C]0.219546022093760[/C][C]5.18983146225703[/C][C]3.09062251564921[/C][/ROW]
[ROW][C]91[/C][C]7.2[/C][C]9.3695631568055[/C][C]0.196688273228663[/C][C]4.83374856996584[/C][C]2.16956315680550[/C][/ROW]
[ROW][C]92[/C][C]5[/C][C]5.14434462526058[/C][C]0.416253200419578[/C][C]4.43940217431984[/C][C]0.144344625260580[/C][/ROW]
[ROW][C]93[/C][C]4.7[/C][C]4.89185189227281[/C][C]0.46309232905335[/C][C]4.04505577867384[/C][C]0.191851892272806[/C][/ROW]
[ROW][C]94[/C][C]2.3[/C][C]1.15112458061839[/C][C]-0.0705110760564296[/C][C]3.51938649543804[/C][C]-1.14887541938161[/C][/ROW]
[ROW][C]95[/C][C]2.4[/C][C]1.6467625317513[/C][C]0.159520256046462[/C][C]2.99371721220224[/C][C]-0.753237468248701[/C][/ROW]
[ROW][C]96[/C][C]0.1[/C][C]-1.59948626831758[/C][C]-0.507535109077162[/C][C]2.30702137739474[/C][C]-1.69948626831758[/C][/ROW]
[ROW][C]97[/C][C]1.9[/C][C]2.39547641552283[/C][C]-0.215801958110081[/C][C]1.62032554258725[/C][C]0.495476415522833[/C][/ROW]
[ROW][C]98[/C][C]1.7[/C][C]3.08707286775725[/C][C]-0.473503346178176[/C][C]0.786430478420922[/C][C]1.38707286775725[/C][/ROW]
[ROW][C]99[/C][C]2[/C][C]4.13321600395955[/C][C]-0.0857514182141423[/C][C]-0.047464585745404[/C][C]2.13321600395955[/C][/ROW]
[ROW][C]100[/C][C]-1.9[/C][C]-2.05811216119711[/C][C]-0.335310164495763[/C][C]-1.40657767430713[/C][C]-0.158112161197111[/C][/ROW]
[ROW][C]101[/C][C]0.5[/C][C]3.53237717103075[/C][C]0.233313591838099[/C][C]-2.76569076286885[/C][C]3.03237717103075[/C][/ROW]
[ROW][C]102[/C][C]-1.3[/C][C]2.11541569441428[/C][C]0.219546022093760[/C][C]-4.93496171650804[/C][C]3.41541569441428[/C][/ROW]
[ROW][C]103[/C][C]-3.3[/C][C]0.307544396918575[/C][C]0.196688273228663[/C][C]-7.10423267014724[/C][C]3.60754439691858[/C][/ROW]
[ROW][C]104[/C][C]-2.8[/C][C]3.81741052200449[/C][C]0.416253200419578[/C][C]-9.83366372242407[/C][C]6.6174105220045[/C][/ROW]
[ROW][C]105[/C][C]-8[/C][C]-3.89999755435244[/C][C]0.46309232905335[/C][C]-12.5630947747009[/C][C]4.10000244564756[/C][/ROW]
[ROW][C]106[/C][C]-13.9[/C][C]-12.4595485141452[/C][C]-0.0705110760564296[/C][C]-15.2699404097983[/C][C]1.44045148585477[/C][/ROW]
[ROW][C]107[/C][C]-21.9[/C][C]-25.9827342111507[/C][C]0.159520256046462[/C][C]-17.9767860448958[/C][C]-4.08273421115068[/C][/ROW]
[ROW][C]108[/C][C]-28.8[/C][C]-36.9512370486469[/C][C]-0.507535109077162[/C][C]-20.141227842276[/C][C]-8.15123704864686[/C][/ROW]
[ROW][C]109[/C][C]-27.6[/C][C]-32.6785284022338[/C][C]-0.215801958110081[/C][C]-22.3056696396562[/C][C]-5.07852840223375[/C][/ROW]
[ROW][C]110[/C][C]-31.4[/C][C]-38.8698703815298[/C][C]-0.473503346178176[/C][C]-23.456626272292[/C][C]-7.46987038152982[/C][/ROW]
[ROW][C]111[/C][C]-31.8[/C][C]-38.906665676858[/C][C]-0.0857514182141423[/C][C]-24.6075829049278[/C][C]-7.10666567685802[/C][/ROW]
[ROW][C]112[/C][C]-29.4[/C][C]-34.1199665871678[/C][C]-0.335310164495763[/C][C]-24.3447232483364[/C][C]-4.71996658716784[/C][/ROW]
[ROW][C]113[/C][C]-27.6[/C][C]-31.3514500000931[/C][C]0.233313591838099[/C][C]-24.0818635917450[/C][C]-3.75145000009314[/C][/ROW]
[ROW][C]114[/C][C]-23.6[/C][C]-24.872307766188[/C][C]0.219546022093760[/C][C]-22.5472382559058[/C][C]-1.27230776618799[/C][/ROW]
[ROW][C]115[/C][C]-22.8[/C][C]-24.7840753531621[/C][C]0.196688273228663[/C][C]-21.0126129200666[/C][C]-1.98407535316207[/C][/ROW]
[ROW][C]116[/C][C]-18.2[/C][C]-17.9462822986774[/C][C]0.416253200419578[/C][C]-18.8699709017421[/C][C]0.253717701322554[/C][/ROW]
[ROW][C]117[/C][C]-17.8[/C][C]-19.3357634456357[/C][C]0.46309232905335[/C][C]-16.7273288834177[/C][C]-1.53576344563568[/C][/ROW]
[ROW][C]118[/C][C]-14.2[/C][C]-13.7288951971180[/C][C]-0.0705110760564296[/C][C]-14.6005937268255[/C][C]0.471104802881968[/C][/ROW]
[ROW][C]119[/C][C]-8.8[/C][C]-5.28566168581306[/C][C]0.159520256046462[/C][C]-12.4738585702334[/C][C]3.51433831418694[/C][/ROW]
[ROW][C]120[/C][C]-7.9[/C][C]-4.46762878417405[/C][C]-0.507535109077162[/C][C]-10.8248361067488[/C][C]3.43237121582595[/C][/ROW]
[ROW][C]121[/C][C]-7[/C][C]-4.60838439862574[/C][C]-0.215801958110081[/C][C]-9.17581364326418[/C][C]2.39161560137426[/C][/ROW]
[ROW][C]122[/C][C]-7[/C][C]-5.32648291902813[/C][C]-0.473503346178176[/C][C]-8.20001373479369[/C][C]1.67351708097187[/C][/ROW]
[ROW][C]123[/C][C]-3.6[/C][C]0.109965244537344[/C][C]-0.0857514182141423[/C][C]-7.2242138263232[/C][C]3.70996524453734[/C][/ROW]
[ROW][C]124[/C][C]-2.4[/C][C]1.98467659902579[/C][C]-0.335310164495763[/C][C]-6.44936643453002[/C][C]4.38467659902579[/C][/ROW]
[ROW][C]125[/C][C]-4.9[/C][C]-4.35879454910126[/C][C]0.233313591838099[/C][C]-5.67451904273684[/C][C]0.541205450898744[/C][/ROW]
[ROW][C]126[/C][C]-7.7[/C][C]-10.6775252519225[/C][C]0.219546022093760[/C][C]-4.94202077017123[/C][C]-2.97752525192253[/C][/ROW]
[ROW][C]127[/C][C]-6.5[/C][C]-8.98716577562305[/C][C]0.196688273228663[/C][C]-4.20952249760561[/C][C]-2.48716577562305[/C][/ROW]
[ROW][C]128[/C][C]-5.1[/C][C]-7.06651419370329[/C][C]0.416253200419578[/C][C]-3.54973900671629[/C][C]-1.96651419370329[/C][/ROW]
[ROW][C]129[/C][C]-3.4[/C][C]-4.37313681322638[/C][C]0.46309232905335[/C][C]-2.88995551582697[/C][C]-0.973136813226377[/C][/ROW]
[ROW][C]130[/C][C]-2.8[/C][C]-3.25591861377560[/C][C]-0.0705110760564296[/C][C]-2.27357031016797[/C][C]-0.455918613775596[/C][/ROW]
[ROW][C]131[/C][C]0.8[/C][C]3.09766484846251[/C][C]0.159520256046462[/C][C]-1.65718510450898[/C][C]2.29766484846251[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114754&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114754&T=2

As an alternative you can also use a QR Code:

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

Seasonal Decomposition by Loess - Time Series Components
t	Observed	Fitted	Seasonal	Trend	Remainder
1	6.4	3.93875305673375	-0.215801958110081	9.07704890137633	-2.46124694326625
2	7.7	7.22063018394759	-0.473503346178176	8.65287316223059	-0.479369816052415
3	9.2	10.2570539951293	-0.0857514182141423	8.22869742308485	1.05705399512929
4	8.6	9.7554926094968	-0.335310164495763	7.77981755499897	1.15549260949680
5	7.4	7.23574872124882	0.233313591838099	7.33093768691308	-0.164251278751181
6	8.6	10.1222880196063	0.219546022093760	6.85816595829996	1.52228801960628
7	6.2	5.8179174970845	0.196688273228663	6.38539422968684	-0.382082502915501
8	6	5.71307219917668	0.416253200419578	5.87067460040374	-0.286927800823317
9	6.6	7.38095269982601	0.46309232905335	5.35595497112064	0.780952699826009
10	5.1	5.71947426302595	-0.0705110760564296	4.55103681303048	0.619474263025952
11	4.7	5.49436108901322	0.159520256046462	3.74611865494031	0.794361089013225
12	5	7.92831492150629	-0.507535109077162	2.57922018757087	2.92831492150629
13	3.6	6.00348023790865	-0.215801958110081	1.41232172020143	2.40348023790865
14	1.9	4.24919182660465	-0.473503346178176	0.0243115195735274	2.34919182660465
15	-0.1	1.24945009926852	-0.0857514182141423	-1.36369868105438	1.34945009926852
16	-5.7	-8.07685703837869	-0.335310164495763	-2.98783279712555	-2.37685703837869
17	-5.6	-6.82134667864137	0.233313591838099	-4.61196691319673	-1.22134667864137
18	-6.4	-6.87225125899635	0.219546022093760	-6.14729476309741	-0.472251258996351
19	-7.7	-7.91406566023057	0.196688273228663	-7.6826226129981	-0.214065660230569
20	-8	-7.73530152845088	0.416253200419578	-8.6809516719687	0.264698471549124
21	-11.9	-14.5838115981140	0.46309232905335	-9.6792807309393	-2.68381159811404
22	-15.4	-20.7417955633366	-0.0705110760564296	-9.987693360607	-5.34179556333657
23	-15.5	-20.8634142657718	0.159520256046462	-10.2961059902747	-5.36341426577178
24	-13.4	-16.1343427560431	-0.507535109077162	-10.1581221348797	-2.73434275604314
25	-10.9	-11.5640597624052	-0.215801958110081	-10.0201382794847	-0.664059762405218
26	-10.8	-11.4583687287859	-0.473503346178176	-9.66812792503596	-0.658368728785867
27	-7.3	-5.19813101119864	-0.0857514182141423	-9.31611757058722	2.10186898880136
28	-6.5	-3.76810977520524	-0.335310164495763	-8.896580060299	2.73189022479476
29	-5.1	-1.95627104182733	0.233313591838099	-8.47704255001077	3.14372895817267
30	-5.3	-2.53061302746718	0.219546022093760	-8.28893299462658	2.76938697253282
31	-6.8	-5.69586483398627	0.196688273228663	-8.1008234392424	1.10413516601373
32	-8.4	-8.84234757698416	0.416253200419578	-8.37390562343542	-0.442347576984162
33	-8.4	-8.61610452142491	0.46309232905335	-8.64698780762844	-0.216104521424914
34	-9.7	-10.0049581412603	-0.0705110760564296	-9.3245307826833	-0.304958141260265
35	-8.8	-7.75744649830829	0.159520256046462	-10.0020737577382	1.04255350169171
36	-9.6	-7.90488399161076	-0.507535109077162	-10.7875808993121	1.69511600838924
37	-11.5	-11.2111100010039	-0.215801958110081	-11.5730880408860	0.288889998996066
38	-11	-9.44896831621618	-0.473503346178176	-12.0775283376056	1.55103168378382
39	-14.9	-17.1322799474605	-0.0857514182141423	-12.5819686343253	-2.23227994746055
40	-16.2	-19.4433872105998	-0.335310164495763	-12.6213026249044	-3.24338721059984
41	-14.4	-16.3726769763546	0.233313591838099	-12.6606366154835	-1.97267697635462
42	-17.3	-22.5901534155123	0.219546022093760	-12.2293926065815	-5.29015341551229
43	-15.7	-19.7985396755492	0.196688273228663	-11.7981485976795	-4.09853967554921
44	-12.6	-14.6862190030911	0.416253200419578	-10.9300341973285	-2.08621900309112
45	-9.4	-9.20117253207588	0.46309232905335	-10.0619197969775	0.198827467924117
46	-8.1	-7.29195941577546	-0.0705110760564296	-8.8375295081681	0.808040584224536
47	-5.4	-3.34638103668772	0.159520256046462	-7.61313921935874	2.05361896331228
48	-4.6	-2.41107625730022	-0.507535109077162	-6.28138863362262	2.18892374269978
49	-4.9	-4.63455999400342	-0.215801958110081	-4.9496380478865	0.265440005996577
50	-4	-3.67906891492706	-0.473503346178176	-3.84742773889476	0.320931085072940
51	-3.1	-3.36903115188283	-0.0857514182141423	-2.74521742990303	-0.269031151882828
52	-1.3	-0.197844358175629	-0.335310164495763	-2.06684547732861	1.10215564182437
53	0	1.15515993291609	0.233313591838099	-1.38847352475418	1.15515993291609
54	-0.4	0.0611368470729622	0.219546022093760	-1.08068286916672	0.461136847072962
55	3	6.5762039403506	0.196688273228663	-0.772892213579259	3.57620394035060
56	0.4	1.16858215886725	0.416253200419578	-0.784835359286826	0.768582158867248
57	1.2	2.73368617594104	0.46309232905335	-0.796778504994392	1.53368617594104
58	0.6	2.47164671475213	-0.0705110760564296	-1.20113563869570	1.87164671475213
59	-1.3	-1.15402748364945	0.159520256046462	-1.60549277239701	0.145972516350549
60	-3.2	-3.57879764346402	-0.507535109077162	-2.31366724745882	-0.378797643464023
61	-1.8	-0.362356319369298	-0.215801958110081	-3.02184172252062	1.43764368063070
62	-3.6	-3.02603356136981	-0.473503346178176	-3.70046309245202	0.573966438630192
63	-4.2	-3.93516411940245	-0.0857514182141423	-4.37908446238341	0.264835880597554
64	-6.9	-8.78371179204647	-0.335310164495763	-4.68097804345777	-1.88371179204647
65	-8	-11.2504419673060	0.233313591838099	-4.98287162453213	-3.25044196730597
66	-7.5	-10.3877615656838	0.219546022093760	-4.83178445640993	-2.88776156568383
67	-8.2	-11.9159909849409	0.196688273228663	-4.68069728828774	-3.71599098494092
68	-7.6	-11.5181560430799	0.416253200419578	-4.09809715733969	-3.91815604307988
69	-3.7	-4.3475953026617	0.46309232905335	-3.51549702639165	-0.647595302661703
70	-1.7	-0.813581416936879	-0.0705110760564296	-2.51590750700669	0.886418583063121
71	-0.7	-0.0432022684247254	0.159520256046462	-1.51631798762174	0.656797731575275
72	0.2	1.21911050007992	-0.507535109077162	-0.31157539100276	1.01911050007992
73	0.6	0.522634752493866	-0.215801958110081	0.893167205616216	-0.0773652475061344
74	2.2	2.92633478746995	-0.473503346178176	1.94716855870823	0.72633478746995
75	3.3	3.68458150641390	-0.0857514182141423	3.00116991180024	0.384581506413905
76	5.3	7.19542051539937	-0.335310164495763	3.7398896490964	1.89542051539937
77	5.5	6.28807702176934	0.233313591838099	4.47860938639256	0.788077021769345
78	6.3	7.41418986884367	0.219546022093760	4.96626410906257	1.11418986884367
79	7.7	9.74939289503875	0.196688273228663	5.45391883173258	2.04939289503875
80	6.5	6.89472958031133	0.416253200419578	5.6890172192691	0.394729580311325
81	5.5	4.61279206414104	0.46309232905335	5.92411560680561	-0.88720793585896
82	6.9	7.88562514143878	-0.0705110760564296	5.98488593461765	0.985625141438775
83	5.7	5.19482348152384	0.159520256046462	6.0456562624297	-0.505176518476162
84	6.9	8.23439921948231	-0.507535109077162	6.07313588959485	1.33439921948231
85	6.1	6.31518644135008	-0.215801958110081	6.10061551676	0.215186441350077
86	4.8	4.02476393717814	-0.473503346178176	6.04873940900004	-0.775236062821863
87	3.7	1.48888811697407	-0.0857514182141423	5.99686330124007	-2.21111188302593
88	5.8	6.16392133660161	-0.335310164495763	5.77138882789415	0.363921336601612
89	6.8	7.82077205361367	0.233313591838099	5.54591435454823	1.02077205361367
90	8.5	11.5906225156492	0.219546022093760	5.18983146225703	3.09062251564921
91	7.2	9.3695631568055	0.196688273228663	4.83374856996584	2.16956315680550
92	5	5.14434462526058	0.416253200419578	4.43940217431984	0.144344625260580
93	4.7	4.89185189227281	0.46309232905335	4.04505577867384	0.191851892272806
94	2.3	1.15112458061839	-0.0705110760564296	3.51938649543804	-1.14887541938161
95	2.4	1.6467625317513	0.159520256046462	2.99371721220224	-0.753237468248701
96	0.1	-1.59948626831758	-0.507535109077162	2.30702137739474	-1.69948626831758
97	1.9	2.39547641552283	-0.215801958110081	1.62032554258725	0.495476415522833
98	1.7	3.08707286775725	-0.473503346178176	0.786430478420922	1.38707286775725
99	2	4.13321600395955	-0.0857514182141423	-0.047464585745404	2.13321600395955
100	-1.9	-2.05811216119711	-0.335310164495763	-1.40657767430713	-0.158112161197111
101	0.5	3.53237717103075	0.233313591838099	-2.76569076286885	3.03237717103075
102	-1.3	2.11541569441428	0.219546022093760	-4.93496171650804	3.41541569441428
103	-3.3	0.307544396918575	0.196688273228663	-7.10423267014724	3.60754439691858
104	-2.8	3.81741052200449	0.416253200419578	-9.83366372242407	6.6174105220045
105	-8	-3.89999755435244	0.46309232905335	-12.5630947747009	4.10000244564756
106	-13.9	-12.4595485141452	-0.0705110760564296	-15.2699404097983	1.44045148585477
107	-21.9	-25.9827342111507	0.159520256046462	-17.9767860448958	-4.08273421115068
108	-28.8	-36.9512370486469	-0.507535109077162	-20.141227842276	-8.15123704864686
109	-27.6	-32.6785284022338	-0.215801958110081	-22.3056696396562	-5.07852840223375
110	-31.4	-38.8698703815298	-0.473503346178176	-23.456626272292	-7.46987038152982
111	-31.8	-38.906665676858	-0.0857514182141423	-24.6075829049278	-7.10666567685802
112	-29.4	-34.1199665871678	-0.335310164495763	-24.3447232483364	-4.71996658716784
113	-27.6	-31.3514500000931	0.233313591838099	-24.0818635917450	-3.75145000009314
114	-23.6	-24.872307766188	0.219546022093760	-22.5472382559058	-1.27230776618799
115	-22.8	-24.7840753531621	0.196688273228663	-21.0126129200666	-1.98407535316207
116	-18.2	-17.9462822986774	0.416253200419578	-18.8699709017421	0.253717701322554
117	-17.8	-19.3357634456357	0.46309232905335	-16.7273288834177	-1.53576344563568
118	-14.2	-13.7288951971180	-0.0705110760564296	-14.6005937268255	0.471104802881968
119	-8.8	-5.28566168581306	0.159520256046462	-12.4738585702334	3.51433831418694
120	-7.9	-4.46762878417405	-0.507535109077162	-10.8248361067488	3.43237121582595
121	-7	-4.60838439862574	-0.215801958110081	-9.17581364326418	2.39161560137426
122	-7	-5.32648291902813	-0.473503346178176	-8.20001373479369	1.67351708097187
123	-3.6	0.109965244537344	-0.0857514182141423	-7.2242138263232	3.70996524453734
124	-2.4	1.98467659902579	-0.335310164495763	-6.44936643453002	4.38467659902579
125	-4.9	-4.35879454910126	0.233313591838099	-5.67451904273684	0.541205450898744
126	-7.7	-10.6775252519225	0.219546022093760	-4.94202077017123	-2.97752525192253
127	-6.5	-8.98716577562305	0.196688273228663	-4.20952249760561	-2.48716577562305
128	-5.1	-7.06651419370329	0.416253200419578	-3.54973900671629	-1.96651419370329
129	-3.4	-4.37313681322638	0.46309232905335	-2.88995551582697	-0.973136813226377
130	-2.8	-3.25591861377560	-0.0705110760564296	-2.27357031016797	-0.455918613775596
131	0.8	3.09766484846251	0.159520256046462	-1.65718510450898	2.29766484846251

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 = 12 ; par2 = periodic ; par3 = 0 ; par5 = 1 ; par7 = 1 ; par8 = FALSE ;

Parameters (R input):

par1 = 12 ; par2 = periodic ; par3 = 0 ; par4 = ; par5 = 1 ; par6 = ; par7 = 1 ; par8 = FALSE ;

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

par1 <- as.numeric(par1) #seasonal period
if (par2 != 'periodic') par2 <- as.numeric(par2) #s.window
par3 <- as.numeric(par3) #s.degree
if (par4 == '') par4 <- NULL else par4 <- as.numeric(par4)#t.window
par5 <- as.numeric(par5)#t.degree
if (par6 != '') par6 <- as.numeric(par6)#l.window
par7 <- as.numeric(par7)#l.degree
if (par8 == 'FALSE') par8 <- FALSE else par9 <- TRUE #robust
nx <- length(x)
x <- ts(x,frequency=par1)
if (par6 != '') {
m <- stl(x,s.window=par2, s.degree=par3, t.window=par4, t.degre=par5, l.window=par6, l.degree=par7, robust=par8)
} else {
m <- stl(x,s.window=par2, s.degree=par3, t.window=par4, t.degre=par5, l.degree=par7, robust=par8)
}
m$time.series
m$win
m$deg
m$jump
m$inner
m$outer
bitmap(file='test1.png')
plot(m,main=main)
dev.off()
mylagmax <- nx/2
bitmap(file='test2.png')
op <- par(mfrow = c(2,2))
acf(as.numeric(x),lag.max = mylagmax,main='Observed')
acf(as.numeric(m$time.series[,'trend']),na.action=na.pass,lag.max = mylagmax,main='Trend')
acf(as.numeric(m$time.series[,'seasonal']),na.action=na.pass,lag.max = mylagmax,main='Seasonal')
acf(as.numeric(m$time.series[,'remainder']),na.action=na.pass,lag.max = mylagmax,main='Remainder')
par(op)
dev.off()
bitmap(file='test3.png')
op <- par(mfrow = c(2,2))
spectrum(as.numeric(x),main='Observed')
spectrum(as.numeric(m$time.series[!is.na(m$time.series[,'trend']),'trend']),main='Trend')
spectrum(as.numeric(m$time.series[!is.na(m$time.series[,'seasonal']),'seasonal']),main='Seasonal')
spectrum(as.numeric(m$time.series[!is.na(m$time.series[,'remainder']),'remainder']),main='Remainder')
par(op)
dev.off()
bitmap(file='test4.png')
op <- par(mfrow = c(2,2))
cpgram(as.numeric(x),main='Observed')
cpgram(as.numeric(m$time.series[!is.na(m$time.series[,'trend']),'trend']),main='Trend')
cpgram(as.numeric(m$time.series[!is.na(m$time.series[,'seasonal']),'seasonal']),main='Seasonal')
cpgram(as.numeric(m$time.series[!is.na(m$time.series[,'remainder']),'remainder']),main='Remainder')
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Seasonal Decomposition by Loess - Parameters',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Component',header=TRUE)
a<-table.element(a,'Window',header=TRUE)
a<-table.element(a,'Degree',header=TRUE)
a<-table.element(a,'Jump',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,m$win['s'])
a<-table.element(a,m$deg['s'])
a<-table.element(a,m$jump['s'])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Trend',header=TRUE)
a<-table.element(a,m$win['t'])
a<-table.element(a,m$deg['t'])
a<-table.element(a,m$jump['t'])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Low-pass',header=TRUE)
a<-table.element(a,m$win['l'])
a<-table.element(a,m$deg['l'])
a<-table.element(a,m$jump['l'])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'t',header=TRUE)
a<-table.element(a,'Observed',header=TRUE)
a<-table.element(a,'Fitted',header=TRUE)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,'Trend',header=TRUE)
a<-table.element(a,'Remainder',header=TRUE)
a<-table.row.end(a)
for (i in 1:nx) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
a<-table.element(a,x[i]+m$time.series[i,'remainder'])
a<-table.element(a,m$time.series[i,'seasonal'])
a<-table.element(a,m$time.series[i,'trend'])
a<-table.element(a,m$time.series[i,'remainder'])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code