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rwasp_decomposeloess.wasp

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Decomposition by Loess

Date of computation

Thu, 01 Dec 2011 13:38:01 -0500

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/01/t1322764723z5bvmwuojnutivp.htm/, Retrieved Wed, 24 Apr 2024 22:15:17 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=149937, Retrieved Wed, 24 Apr 2024 22:15:17 +0000

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-       [Decomposition by Loess] [Brutoindex van de...] [2011-12-01 18:38:01] [22ff23eaefab118cb5de5c6132878e2b] [Current]

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'AstonUniversity' @ aston.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 & 2 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=149937&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=149937&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=149937&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	2 seconds
R Server	'AstonUniversity' @ aston.wessa.net

Seasonal Decomposition by Loess - Parameters
Component	Window	Degree	Jump
Seasonal	1231	0	124
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 & 1231 & 0 & 124 \tabularnewline
Trend & 19 & 1 & 2 \tabularnewline
Low-pass & 13 & 1 & 2 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=149937&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]1231[/C][C]0[/C][C]124[/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=149937&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=149937&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	1231	0	124
Trend	19	1	2
Low-pass	13	1	2

Seasonal Decomposition by Loess - Time Series Components
t	Observed	Fitted	Seasonal	Trend	Remainder
1	101.5	103.844003052029	-3.36305594607018	102.519052894042	2.34400305202851
2	100.7	102.613731370649	-3.22353761600566	102.009806245357	1.91373137064872
3	110.6	112.538004737002	7.16143566632576	101.500559596672	1.938004737002
4	96.8	93.381911171414	-0.836815305776498	101.054904134363	-3.41808882858602
5	100	101.211637909913	-1.82088658196619	100.609248672053	1.21163790991339
6	104.8	103.161107180509	6.22657176721205	100.212321052278	-1.63889281949054
7	86.8	82.9305783055471	-9.1459717380513	99.8153934325042	-3.86942169445287
8	92	92.9738906891238	-8.42239679669553	99.4485061075717	0.97389068912382
9	100.2	94.8672019456966	6.45117927166415	99.0816187826392	-5.33279805430338
10	106.6	106.269023003844	7.91044708560312	99.0205299105526	-0.330976996155712
11	102.1	103.660842207551	1.57971675398323	98.959441038466	1.56084220755082
12	93.7	90.7000776072938	-2.51668662086836	99.2166090135746	-2.99992239270624
13	97.6	99.0892789573869	-3.36305594607018	99.4737769886833	1.48927895738687
14	96.9	97.2364384019576	-3.22353761600566	99.787099214048	0.336438401957608
15	105.6	103.938142894261	7.16143566632576	100.100421439413	-1.66185710573856
16	102.8	106.044442821558	-0.836815305776498	100.392372484219	3.24444282155766
17	101.7	104.536563052941	-1.82088658196619	100.684323529025	2.83656305294132
18	104.2	101.274826341541	6.22657176721205	100.898601891247	-2.9251736584588
19	92.7	93.4330914845827	-9.1459717380513	101.112880253469	0.733091484582658
20	91.9	91.01047977438	-8.42239679669553	101.211917022316	-0.88952022562006
21	106.5	105.237866937173	6.45117927166415	101.310953791163	-1.26213306282668
22	112.3	115.373700618033	7.91044708560312	101.315852296364	3.07370061803303
23	102.8	102.699532444452	1.57971675398323	101.320750801565	-0.10046755554842
24	96.5	94.2125742204952	-2.51668662086836	101.304112400373	-2.28742577950484
25	101	104.075581946889	-3.36305594607018	101.287473999181	3.07558194688895
26	98.9	99.738785930955	-3.22353761600566	101.284751685051	0.838785930955083
27	105.1	101.756534962754	7.16143566632576	101.28202937092	-3.34346503724569
28	103	105.553150237059	-0.836815305776498	101.283665068718	2.55315023705897
29	99	98.535585815451	-1.82088658196619	101.285300766515	-0.464414184548929
30	104.3	101.026824790725	6.22657176721205	101.346603442063	-3.2731752092746
31	94.6	96.9380656204413	-9.1459717380513	101.40790611761	2.33806562044133
32	90.4	87.6469047357679	-8.42239679669553	101.575492060928	-2.75309526423214
33	108.9	109.605742724091	6.45117927166415	101.743078004245	0.705742724090499
34	111.4	112.869281327449	7.91044708560312	102.020271586948	1.46928132744907
35	100.8	97.7228180763665	1.57971675398323	102.29746516965	-3.07718192363353
36	102.5	104.866381763956	-2.51668662086836	102.650304856913	2.36638176395556
37	98.2	96.7599114018948	-3.36305594607018	103.003144544175	-1.44008859810516
38	98.7	97.202089143207	-3.22353761600566	103.421448472799	-1.49791085679311
39	113.3	115.598811932252	7.16143566632576	103.839752401422	2.29881193225204
40	104.6	105.791858802807	-0.836815305776498	104.244956502969	1.19185880280705
41	99.3	95.7707259774495	-1.82088658196619	104.650160604517	-3.52927402255048
42	111.8	112.416221759798	6.22657176721205	104.95720647299	0.616221759797511
43	97.3	98.481719396587	-9.1459717380513	105.264252341464	1.18171939658711
44	97.7	98.4968636359493	-8.42239679669553	105.325533160746	0.796863635949322
45	115.6	119.362006748308	6.45117927166415	105.386813980028	3.76200674830761
46	111.9	110.618216226589	7.91044708560312	105.271336687808	-1.28178377341062
47	107	107.26442385043	1.57971675398323	105.155859395587	0.264423850429978
48	107.1	111.7399070658	-2.51668662086836	104.976779555069	4.63990706579963
49	100.6	99.7653562315195	-3.36305594607018	104.797699714551	-0.834643768480504
50	99.2	97.0418230435992	-3.22353761600566	104.581714572406	-2.15817695640081
51	108.4	105.272834903412	7.16143566632576	104.365729430262	-3.12716509658803
52	103	102.515986687714	-0.836815305776498	104.320828618062	-0.484013312285583
53	99.8	97.1449587761043	-1.82088658196619	104.275927805862	-2.65504122389569
54	115	119.205883871517	6.22657176721205	104.567544361271	4.20588387151703
55	90.8	85.8868108213713	-9.1459717380513	104.85916091668	-4.91318917862866
56	95.9	94.8309473163556	-8.42239679669553	105.39144948034	-1.06905268364443
57	114.4	116.425082684336	6.45117927166415	105.923738044	2.02508268433589
58	108.2	101.982430590535	7.91044708560312	106.507122323862	-6.21756940946491
59	112.6	116.529776642293	1.57971675398323	107.090506603724	3.92977664229313
60	109.1	113.117067079578	-2.51668662086836	107.59961954129	4.01706707957814
61	105	105.254323467213	-3.36305594607018	108.108732478857	0.254323467213339
62	105	104.687213341271	-3.22353761600566	108.536324274734	-0.312786658728612
63	118.5	120.874648263063	7.16143566632576	108.963916070612	2.37464826306254
64	103.7	98.94171524087	-0.836815305776498	109.295100064907	-4.75828475913004
65	112.5	117.194602522765	-1.82088658196619	109.626284059201	4.69460252276482
66	116.6	117.048596558402	6.22657176721205	109.924831674386	0.448596558402357
67	96.6	92.1225924484815	-9.1459717380513	110.22337928957	-4.47740755151851
68	101.9	101.652838846053	-8.42239679669553	110.569557950642	-0.247161153946919
69	116.5	115.633084116621	6.45117927166415	110.915736611715	-0.866915883379235
70	119.3	119.437927012869	7.91044708560312	111.251625901528	0.137927012868715
71	115.4	117.632768054676	1.57971675398323	111.587515191341	2.23276805467553
72	108.5	107.607752647242	-2.51668662086836	111.908933973626	-0.89224735275792
73	111.5	114.132703190159	-3.36305594607018	112.230352755911	2.63270319015885
74	108.8	108.345956902889	-3.22353761600566	112.477580713116	-0.454043097110628
75	121.8	123.713755663353	7.16143566632576	112.724808670321	1.91375566335302
76	109.6	107.192895465867	-0.836815305776498	112.84391983991	-2.40710453413328
77	112.2	113.257855572468	-1.82088658196619	112.963031009498	1.05785557246786
78	119.6	119.868956920226	6.22657176721205	113.104471312562	0.268956920226444
79	104.1	104.100060122427	-9.1459717380513	113.245911615625	6.01224266318923e-05
80	105.3	105.555672970987	-8.42239679669553	113.466723825709	0.255672970987007
81	115	109.861284692543	6.45117927166415	113.687536035792	-5.13871530745651
82	124.1	126.375309118494	7.91044708560312	113.914243795903	2.27530911849357
83	116.8	117.879331690002	1.57971675398323	114.140951556014	1.07933169000249
84	107.5	103.227042666355	-2.51668662086836	114.289643954513	-4.2729573336448
85	115.6	120.124719593058	-3.36305594607018	114.438336353012	4.52471959305809
86	116.2	121.172602021684	-3.22353761600566	114.450935594321	4.97260202168434
87	116.3	110.975029498044	7.16143566632576	114.463534835631	-5.32497050195634
88	119	124.782537577832	-0.836815305776498	114.054277727944	5.78253757783204
89	111.9	111.975865961708	-1.82088658196619	113.645020620258	0.075865961707862
90	118.6	118.368657065871	6.22657176721205	112.604771166917	-0.231342934129245
91	106.9	111.381450024475	-9.1459717380513	111.564521713576	4.48145002447527
92	103.2	104.793842386091	-8.42239679669553	110.028554410605	1.59384238609073
93	118.6	122.256233620702	6.45117927166415	108.492587107634	3.6562336207023
94	118.7	122.710573028355	7.91044708560312	106.778979886042	4.01057302835459
95	102.8	98.9549105815657	1.57971675398323	105.065372664451	-3.8450894184343
96	100.6	100.247556355072	-2.51668662086836	103.469130265796	-0.352443644927931
97	94.9	91.2901680789287	-3.36305594607018	101.872887867142	-3.60983192107135
98	94.5	91.5951931702332	-3.22353761600566	100.628344445772	-2.90480682976677
99	102.9	99.254763309271	7.16143566632576	99.3838010244033	-3.64523669072908
100	95.3	92.812062947814	-0.836815305776498	98.6247523579624	-2.48793705218596
101	92.5	88.9551828904446	-1.82088658196619	97.8657036915216	-3.5448171095554
102	102.7	101.598655735028	6.22657176721205	97.5747724977601	-1.10134426497216
103	91.5	94.8621304340527	-9.1459717380513	97.2838413039986	3.36213043405267
104	89.5	89.966503675772	-8.42239679669553	97.4558931209235	0.466503675771975
105	104.2	104.320875790487	6.45117927166415	97.6279449378485	0.120875790487389
106	105.2	104.330981297541	7.91044708560312	98.1585716168558	-0.869018702458916
107	99	97.7310849501536	1.57971675398323	98.6891982958632	-1.26891504984638
108	95.5	94.131794696148	-2.51668662086836	99.3848919247204	-1.36820530385204
109	90.5	84.2824703924925	-3.36305594607018	100.080585553578	-6.21752960750749
110	96.1	94.566482467135	-3.22353761600566	100.857055148871	-1.53351753286496
111	113	117.205039589511	7.16143566632576	101.633524744164	4.20503958951068
112	101.9	102.12553924281	-0.836815305776498	102.511276062967	0.225539242809788
113	101.4	101.231859200196	-1.82088658196619	103.38902738177	-0.168140799803652
114	113.6	116.763221062534	6.22657176721205	104.210207170254	3.16322106253395
115	96.6	97.3145847793131	-9.1459717380513	105.031386958738	0.714584779313142
116	97.8	98.1419724255337	-8.42239679669553	105.880424371162	0.341972425533683
117	114.9	116.61935894475	6.45117927166415	106.729461783586	1.71935894475033
118	112.5	109.516675698336	7.91044708560312	107.572877216061	-2.98332430166414
119	108.4	106.80399059748	1.57971675398323	108.416292648537	-1.59600940251975
120	107	107.286069267529	-2.51668662086836	109.23061735334	0.286069267528688
121	103.5	100.318113887927	-3.36305594607018	110.044942058143	-3.18188611207265
122	107.5	107.374960081745	-3.22353761600566	110.848577534261	-0.12503991825524
123	122.3	125.786351323295	7.16143566632576	111.652213010379	3.48635132329528

\begin{tabular}{lllllllll}
\hline
Seasonal Decomposition by Loess - Time Series Components \tabularnewline
t & Observed & Fitted & Seasonal & Trend & Remainder \tabularnewline
1 & 101.5 & 103.844003052029 & -3.36305594607018 & 102.519052894042 & 2.34400305202851 \tabularnewline
2 & 100.7 & 102.613731370649 & -3.22353761600566 & 102.009806245357 & 1.91373137064872 \tabularnewline
3 & 110.6 & 112.538004737002 & 7.16143566632576 & 101.500559596672 & 1.938004737002 \tabularnewline
4 & 96.8 & 93.381911171414 & -0.836815305776498 & 101.054904134363 & -3.41808882858602 \tabularnewline
5 & 100 & 101.211637909913 & -1.82088658196619 & 100.609248672053 & 1.21163790991339 \tabularnewline
6 & 104.8 & 103.161107180509 & 6.22657176721205 & 100.212321052278 & -1.63889281949054 \tabularnewline
7 & 86.8 & 82.9305783055471 & -9.1459717380513 & 99.8153934325042 & -3.86942169445287 \tabularnewline
8 & 92 & 92.9738906891238 & -8.42239679669553 & 99.4485061075717 & 0.97389068912382 \tabularnewline
9 & 100.2 & 94.8672019456966 & 6.45117927166415 & 99.0816187826392 & -5.33279805430338 \tabularnewline
10 & 106.6 & 106.269023003844 & 7.91044708560312 & 99.0205299105526 & -0.330976996155712 \tabularnewline
11 & 102.1 & 103.660842207551 & 1.57971675398323 & 98.959441038466 & 1.56084220755082 \tabularnewline
12 & 93.7 & 90.7000776072938 & -2.51668662086836 & 99.2166090135746 & -2.99992239270624 \tabularnewline
13 & 97.6 & 99.0892789573869 & -3.36305594607018 & 99.4737769886833 & 1.48927895738687 \tabularnewline
14 & 96.9 & 97.2364384019576 & -3.22353761600566 & 99.787099214048 & 0.336438401957608 \tabularnewline
15 & 105.6 & 103.938142894261 & 7.16143566632576 & 100.100421439413 & -1.66185710573856 \tabularnewline
16 & 102.8 & 106.044442821558 & -0.836815305776498 & 100.392372484219 & 3.24444282155766 \tabularnewline
17 & 101.7 & 104.536563052941 & -1.82088658196619 & 100.684323529025 & 2.83656305294132 \tabularnewline
18 & 104.2 & 101.274826341541 & 6.22657176721205 & 100.898601891247 & -2.9251736584588 \tabularnewline
19 & 92.7 & 93.4330914845827 & -9.1459717380513 & 101.112880253469 & 0.733091484582658 \tabularnewline
20 & 91.9 & 91.01047977438 & -8.42239679669553 & 101.211917022316 & -0.88952022562006 \tabularnewline
21 & 106.5 & 105.237866937173 & 6.45117927166415 & 101.310953791163 & -1.26213306282668 \tabularnewline
22 & 112.3 & 115.373700618033 & 7.91044708560312 & 101.315852296364 & 3.07370061803303 \tabularnewline
23 & 102.8 & 102.699532444452 & 1.57971675398323 & 101.320750801565 & -0.10046755554842 \tabularnewline
24 & 96.5 & 94.2125742204952 & -2.51668662086836 & 101.304112400373 & -2.28742577950484 \tabularnewline
25 & 101 & 104.075581946889 & -3.36305594607018 & 101.287473999181 & 3.07558194688895 \tabularnewline
26 & 98.9 & 99.738785930955 & -3.22353761600566 & 101.284751685051 & 0.838785930955083 \tabularnewline
27 & 105.1 & 101.756534962754 & 7.16143566632576 & 101.28202937092 & -3.34346503724569 \tabularnewline
28 & 103 & 105.553150237059 & -0.836815305776498 & 101.283665068718 & 2.55315023705897 \tabularnewline
29 & 99 & 98.535585815451 & -1.82088658196619 & 101.285300766515 & -0.464414184548929 \tabularnewline
30 & 104.3 & 101.026824790725 & 6.22657176721205 & 101.346603442063 & -3.2731752092746 \tabularnewline
31 & 94.6 & 96.9380656204413 & -9.1459717380513 & 101.40790611761 & 2.33806562044133 \tabularnewline
32 & 90.4 & 87.6469047357679 & -8.42239679669553 & 101.575492060928 & -2.75309526423214 \tabularnewline
33 & 108.9 & 109.605742724091 & 6.45117927166415 & 101.743078004245 & 0.705742724090499 \tabularnewline
34 & 111.4 & 112.869281327449 & 7.91044708560312 & 102.020271586948 & 1.46928132744907 \tabularnewline
35 & 100.8 & 97.7228180763665 & 1.57971675398323 & 102.29746516965 & -3.07718192363353 \tabularnewline
36 & 102.5 & 104.866381763956 & -2.51668662086836 & 102.650304856913 & 2.36638176395556 \tabularnewline
37 & 98.2 & 96.7599114018948 & -3.36305594607018 & 103.003144544175 & -1.44008859810516 \tabularnewline
38 & 98.7 & 97.202089143207 & -3.22353761600566 & 103.421448472799 & -1.49791085679311 \tabularnewline
39 & 113.3 & 115.598811932252 & 7.16143566632576 & 103.839752401422 & 2.29881193225204 \tabularnewline
40 & 104.6 & 105.791858802807 & -0.836815305776498 & 104.244956502969 & 1.19185880280705 \tabularnewline
41 & 99.3 & 95.7707259774495 & -1.82088658196619 & 104.650160604517 & -3.52927402255048 \tabularnewline
42 & 111.8 & 112.416221759798 & 6.22657176721205 & 104.95720647299 & 0.616221759797511 \tabularnewline
43 & 97.3 & 98.481719396587 & -9.1459717380513 & 105.264252341464 & 1.18171939658711 \tabularnewline
44 & 97.7 & 98.4968636359493 & -8.42239679669553 & 105.325533160746 & 0.796863635949322 \tabularnewline
45 & 115.6 & 119.362006748308 & 6.45117927166415 & 105.386813980028 & 3.76200674830761 \tabularnewline
46 & 111.9 & 110.618216226589 & 7.91044708560312 & 105.271336687808 & -1.28178377341062 \tabularnewline
47 & 107 & 107.26442385043 & 1.57971675398323 & 105.155859395587 & 0.264423850429978 \tabularnewline
48 & 107.1 & 111.7399070658 & -2.51668662086836 & 104.976779555069 & 4.63990706579963 \tabularnewline
49 & 100.6 & 99.7653562315195 & -3.36305594607018 & 104.797699714551 & -0.834643768480504 \tabularnewline
50 & 99.2 & 97.0418230435992 & -3.22353761600566 & 104.581714572406 & -2.15817695640081 \tabularnewline
51 & 108.4 & 105.272834903412 & 7.16143566632576 & 104.365729430262 & -3.12716509658803 \tabularnewline
52 & 103 & 102.515986687714 & -0.836815305776498 & 104.320828618062 & -0.484013312285583 \tabularnewline
53 & 99.8 & 97.1449587761043 & -1.82088658196619 & 104.275927805862 & -2.65504122389569 \tabularnewline
54 & 115 & 119.205883871517 & 6.22657176721205 & 104.567544361271 & 4.20588387151703 \tabularnewline
55 & 90.8 & 85.8868108213713 & -9.1459717380513 & 104.85916091668 & -4.91318917862866 \tabularnewline
56 & 95.9 & 94.8309473163556 & -8.42239679669553 & 105.39144948034 & -1.06905268364443 \tabularnewline
57 & 114.4 & 116.425082684336 & 6.45117927166415 & 105.923738044 & 2.02508268433589 \tabularnewline
58 & 108.2 & 101.982430590535 & 7.91044708560312 & 106.507122323862 & -6.21756940946491 \tabularnewline
59 & 112.6 & 116.529776642293 & 1.57971675398323 & 107.090506603724 & 3.92977664229313 \tabularnewline
60 & 109.1 & 113.117067079578 & -2.51668662086836 & 107.59961954129 & 4.01706707957814 \tabularnewline
61 & 105 & 105.254323467213 & -3.36305594607018 & 108.108732478857 & 0.254323467213339 \tabularnewline
62 & 105 & 104.687213341271 & -3.22353761600566 & 108.536324274734 & -0.312786658728612 \tabularnewline
63 & 118.5 & 120.874648263063 & 7.16143566632576 & 108.963916070612 & 2.37464826306254 \tabularnewline
64 & 103.7 & 98.94171524087 & -0.836815305776498 & 109.295100064907 & -4.75828475913004 \tabularnewline
65 & 112.5 & 117.194602522765 & -1.82088658196619 & 109.626284059201 & 4.69460252276482 \tabularnewline
66 & 116.6 & 117.048596558402 & 6.22657176721205 & 109.924831674386 & 0.448596558402357 \tabularnewline
67 & 96.6 & 92.1225924484815 & -9.1459717380513 & 110.22337928957 & -4.47740755151851 \tabularnewline
68 & 101.9 & 101.652838846053 & -8.42239679669553 & 110.569557950642 & -0.247161153946919 \tabularnewline
69 & 116.5 & 115.633084116621 & 6.45117927166415 & 110.915736611715 & -0.866915883379235 \tabularnewline
70 & 119.3 & 119.437927012869 & 7.91044708560312 & 111.251625901528 & 0.137927012868715 \tabularnewline
71 & 115.4 & 117.632768054676 & 1.57971675398323 & 111.587515191341 & 2.23276805467553 \tabularnewline
72 & 108.5 & 107.607752647242 & -2.51668662086836 & 111.908933973626 & -0.89224735275792 \tabularnewline
73 & 111.5 & 114.132703190159 & -3.36305594607018 & 112.230352755911 & 2.63270319015885 \tabularnewline
74 & 108.8 & 108.345956902889 & -3.22353761600566 & 112.477580713116 & -0.454043097110628 \tabularnewline
75 & 121.8 & 123.713755663353 & 7.16143566632576 & 112.724808670321 & 1.91375566335302 \tabularnewline
76 & 109.6 & 107.192895465867 & -0.836815305776498 & 112.84391983991 & -2.40710453413328 \tabularnewline
77 & 112.2 & 113.257855572468 & -1.82088658196619 & 112.963031009498 & 1.05785557246786 \tabularnewline
78 & 119.6 & 119.868956920226 & 6.22657176721205 & 113.104471312562 & 0.268956920226444 \tabularnewline
79 & 104.1 & 104.100060122427 & -9.1459717380513 & 113.245911615625 & 6.01224266318923e-05 \tabularnewline
80 & 105.3 & 105.555672970987 & -8.42239679669553 & 113.466723825709 & 0.255672970987007 \tabularnewline
81 & 115 & 109.861284692543 & 6.45117927166415 & 113.687536035792 & -5.13871530745651 \tabularnewline
82 & 124.1 & 126.375309118494 & 7.91044708560312 & 113.914243795903 & 2.27530911849357 \tabularnewline
83 & 116.8 & 117.879331690002 & 1.57971675398323 & 114.140951556014 & 1.07933169000249 \tabularnewline
84 & 107.5 & 103.227042666355 & -2.51668662086836 & 114.289643954513 & -4.2729573336448 \tabularnewline
85 & 115.6 & 120.124719593058 & -3.36305594607018 & 114.438336353012 & 4.52471959305809 \tabularnewline
86 & 116.2 & 121.172602021684 & -3.22353761600566 & 114.450935594321 & 4.97260202168434 \tabularnewline
87 & 116.3 & 110.975029498044 & 7.16143566632576 & 114.463534835631 & -5.32497050195634 \tabularnewline
88 & 119 & 124.782537577832 & -0.836815305776498 & 114.054277727944 & 5.78253757783204 \tabularnewline
89 & 111.9 & 111.975865961708 & -1.82088658196619 & 113.645020620258 & 0.075865961707862 \tabularnewline
90 & 118.6 & 118.368657065871 & 6.22657176721205 & 112.604771166917 & -0.231342934129245 \tabularnewline
91 & 106.9 & 111.381450024475 & -9.1459717380513 & 111.564521713576 & 4.48145002447527 \tabularnewline
92 & 103.2 & 104.793842386091 & -8.42239679669553 & 110.028554410605 & 1.59384238609073 \tabularnewline
93 & 118.6 & 122.256233620702 & 6.45117927166415 & 108.492587107634 & 3.6562336207023 \tabularnewline
94 & 118.7 & 122.710573028355 & 7.91044708560312 & 106.778979886042 & 4.01057302835459 \tabularnewline
95 & 102.8 & 98.9549105815657 & 1.57971675398323 & 105.065372664451 & -3.8450894184343 \tabularnewline
96 & 100.6 & 100.247556355072 & -2.51668662086836 & 103.469130265796 & -0.352443644927931 \tabularnewline
97 & 94.9 & 91.2901680789287 & -3.36305594607018 & 101.872887867142 & -3.60983192107135 \tabularnewline
98 & 94.5 & 91.5951931702332 & -3.22353761600566 & 100.628344445772 & -2.90480682976677 \tabularnewline
99 & 102.9 & 99.254763309271 & 7.16143566632576 & 99.3838010244033 & -3.64523669072908 \tabularnewline
100 & 95.3 & 92.812062947814 & -0.836815305776498 & 98.6247523579624 & -2.48793705218596 \tabularnewline
101 & 92.5 & 88.9551828904446 & -1.82088658196619 & 97.8657036915216 & -3.5448171095554 \tabularnewline
102 & 102.7 & 101.598655735028 & 6.22657176721205 & 97.5747724977601 & -1.10134426497216 \tabularnewline
103 & 91.5 & 94.8621304340527 & -9.1459717380513 & 97.2838413039986 & 3.36213043405267 \tabularnewline
104 & 89.5 & 89.966503675772 & -8.42239679669553 & 97.4558931209235 & 0.466503675771975 \tabularnewline
105 & 104.2 & 104.320875790487 & 6.45117927166415 & 97.6279449378485 & 0.120875790487389 \tabularnewline
106 & 105.2 & 104.330981297541 & 7.91044708560312 & 98.1585716168558 & -0.869018702458916 \tabularnewline
107 & 99 & 97.7310849501536 & 1.57971675398323 & 98.6891982958632 & -1.26891504984638 \tabularnewline
108 & 95.5 & 94.131794696148 & -2.51668662086836 & 99.3848919247204 & -1.36820530385204 \tabularnewline
109 & 90.5 & 84.2824703924925 & -3.36305594607018 & 100.080585553578 & -6.21752960750749 \tabularnewline
110 & 96.1 & 94.566482467135 & -3.22353761600566 & 100.857055148871 & -1.53351753286496 \tabularnewline
111 & 113 & 117.205039589511 & 7.16143566632576 & 101.633524744164 & 4.20503958951068 \tabularnewline
112 & 101.9 & 102.12553924281 & -0.836815305776498 & 102.511276062967 & 0.225539242809788 \tabularnewline
113 & 101.4 & 101.231859200196 & -1.82088658196619 & 103.38902738177 & -0.168140799803652 \tabularnewline
114 & 113.6 & 116.763221062534 & 6.22657176721205 & 104.210207170254 & 3.16322106253395 \tabularnewline
115 & 96.6 & 97.3145847793131 & -9.1459717380513 & 105.031386958738 & 0.714584779313142 \tabularnewline
116 & 97.8 & 98.1419724255337 & -8.42239679669553 & 105.880424371162 & 0.341972425533683 \tabularnewline
117 & 114.9 & 116.61935894475 & 6.45117927166415 & 106.729461783586 & 1.71935894475033 \tabularnewline
118 & 112.5 & 109.516675698336 & 7.91044708560312 & 107.572877216061 & -2.98332430166414 \tabularnewline
119 & 108.4 & 106.80399059748 & 1.57971675398323 & 108.416292648537 & -1.59600940251975 \tabularnewline
120 & 107 & 107.286069267529 & -2.51668662086836 & 109.23061735334 & 0.286069267528688 \tabularnewline
121 & 103.5 & 100.318113887927 & -3.36305594607018 & 110.044942058143 & -3.18188611207265 \tabularnewline
122 & 107.5 & 107.374960081745 & -3.22353761600566 & 110.848577534261 & -0.12503991825524 \tabularnewline
123 & 122.3 & 125.786351323295 & 7.16143566632576 & 111.652213010379 & 3.48635132329528 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=149937&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]101.5[/C][C]103.844003052029[/C][C]-3.36305594607018[/C][C]102.519052894042[/C][C]2.34400305202851[/C][/ROW]
[ROW][C]2[/C][C]100.7[/C][C]102.613731370649[/C][C]-3.22353761600566[/C][C]102.009806245357[/C][C]1.91373137064872[/C][/ROW]
[ROW][C]3[/C][C]110.6[/C][C]112.538004737002[/C][C]7.16143566632576[/C][C]101.500559596672[/C][C]1.938004737002[/C][/ROW]
[ROW][C]4[/C][C]96.8[/C][C]93.381911171414[/C][C]-0.836815305776498[/C][C]101.054904134363[/C][C]-3.41808882858602[/C][/ROW]
[ROW][C]5[/C][C]100[/C][C]101.211637909913[/C][C]-1.82088658196619[/C][C]100.609248672053[/C][C]1.21163790991339[/C][/ROW]
[ROW][C]6[/C][C]104.8[/C][C]103.161107180509[/C][C]6.22657176721205[/C][C]100.212321052278[/C][C]-1.63889281949054[/C][/ROW]
[ROW][C]7[/C][C]86.8[/C][C]82.9305783055471[/C][C]-9.1459717380513[/C][C]99.8153934325042[/C][C]-3.86942169445287[/C][/ROW]
[ROW][C]8[/C][C]92[/C][C]92.9738906891238[/C][C]-8.42239679669553[/C][C]99.4485061075717[/C][C]0.97389068912382[/C][/ROW]
[ROW][C]9[/C][C]100.2[/C][C]94.8672019456966[/C][C]6.45117927166415[/C][C]99.0816187826392[/C][C]-5.33279805430338[/C][/ROW]
[ROW][C]10[/C][C]106.6[/C][C]106.269023003844[/C][C]7.91044708560312[/C][C]99.0205299105526[/C][C]-0.330976996155712[/C][/ROW]
[ROW][C]11[/C][C]102.1[/C][C]103.660842207551[/C][C]1.57971675398323[/C][C]98.959441038466[/C][C]1.56084220755082[/C][/ROW]
[ROW][C]12[/C][C]93.7[/C][C]90.7000776072938[/C][C]-2.51668662086836[/C][C]99.2166090135746[/C][C]-2.99992239270624[/C][/ROW]
[ROW][C]13[/C][C]97.6[/C][C]99.0892789573869[/C][C]-3.36305594607018[/C][C]99.4737769886833[/C][C]1.48927895738687[/C][/ROW]
[ROW][C]14[/C][C]96.9[/C][C]97.2364384019576[/C][C]-3.22353761600566[/C][C]99.787099214048[/C][C]0.336438401957608[/C][/ROW]
[ROW][C]15[/C][C]105.6[/C][C]103.938142894261[/C][C]7.16143566632576[/C][C]100.100421439413[/C][C]-1.66185710573856[/C][/ROW]
[ROW][C]16[/C][C]102.8[/C][C]106.044442821558[/C][C]-0.836815305776498[/C][C]100.392372484219[/C][C]3.24444282155766[/C][/ROW]
[ROW][C]17[/C][C]101.7[/C][C]104.536563052941[/C][C]-1.82088658196619[/C][C]100.684323529025[/C][C]2.83656305294132[/C][/ROW]
[ROW][C]18[/C][C]104.2[/C][C]101.274826341541[/C][C]6.22657176721205[/C][C]100.898601891247[/C][C]-2.9251736584588[/C][/ROW]
[ROW][C]19[/C][C]92.7[/C][C]93.4330914845827[/C][C]-9.1459717380513[/C][C]101.112880253469[/C][C]0.733091484582658[/C][/ROW]
[ROW][C]20[/C][C]91.9[/C][C]91.01047977438[/C][C]-8.42239679669553[/C][C]101.211917022316[/C][C]-0.88952022562006[/C][/ROW]
[ROW][C]21[/C][C]106.5[/C][C]105.237866937173[/C][C]6.45117927166415[/C][C]101.310953791163[/C][C]-1.26213306282668[/C][/ROW]
[ROW][C]22[/C][C]112.3[/C][C]115.373700618033[/C][C]7.91044708560312[/C][C]101.315852296364[/C][C]3.07370061803303[/C][/ROW]
[ROW][C]23[/C][C]102.8[/C][C]102.699532444452[/C][C]1.57971675398323[/C][C]101.320750801565[/C][C]-0.10046755554842[/C][/ROW]
[ROW][C]24[/C][C]96.5[/C][C]94.2125742204952[/C][C]-2.51668662086836[/C][C]101.304112400373[/C][C]-2.28742577950484[/C][/ROW]
[ROW][C]25[/C][C]101[/C][C]104.075581946889[/C][C]-3.36305594607018[/C][C]101.287473999181[/C][C]3.07558194688895[/C][/ROW]
[ROW][C]26[/C][C]98.9[/C][C]99.738785930955[/C][C]-3.22353761600566[/C][C]101.284751685051[/C][C]0.838785930955083[/C][/ROW]
[ROW][C]27[/C][C]105.1[/C][C]101.756534962754[/C][C]7.16143566632576[/C][C]101.28202937092[/C][C]-3.34346503724569[/C][/ROW]
[ROW][C]28[/C][C]103[/C][C]105.553150237059[/C][C]-0.836815305776498[/C][C]101.283665068718[/C][C]2.55315023705897[/C][/ROW]
[ROW][C]29[/C][C]99[/C][C]98.535585815451[/C][C]-1.82088658196619[/C][C]101.285300766515[/C][C]-0.464414184548929[/C][/ROW]
[ROW][C]30[/C][C]104.3[/C][C]101.026824790725[/C][C]6.22657176721205[/C][C]101.346603442063[/C][C]-3.2731752092746[/C][/ROW]
[ROW][C]31[/C][C]94.6[/C][C]96.9380656204413[/C][C]-9.1459717380513[/C][C]101.40790611761[/C][C]2.33806562044133[/C][/ROW]
[ROW][C]32[/C][C]90.4[/C][C]87.6469047357679[/C][C]-8.42239679669553[/C][C]101.575492060928[/C][C]-2.75309526423214[/C][/ROW]
[ROW][C]33[/C][C]108.9[/C][C]109.605742724091[/C][C]6.45117927166415[/C][C]101.743078004245[/C][C]0.705742724090499[/C][/ROW]
[ROW][C]34[/C][C]111.4[/C][C]112.869281327449[/C][C]7.91044708560312[/C][C]102.020271586948[/C][C]1.46928132744907[/C][/ROW]
[ROW][C]35[/C][C]100.8[/C][C]97.7228180763665[/C][C]1.57971675398323[/C][C]102.29746516965[/C][C]-3.07718192363353[/C][/ROW]
[ROW][C]36[/C][C]102.5[/C][C]104.866381763956[/C][C]-2.51668662086836[/C][C]102.650304856913[/C][C]2.36638176395556[/C][/ROW]
[ROW][C]37[/C][C]98.2[/C][C]96.7599114018948[/C][C]-3.36305594607018[/C][C]103.003144544175[/C][C]-1.44008859810516[/C][/ROW]
[ROW][C]38[/C][C]98.7[/C][C]97.202089143207[/C][C]-3.22353761600566[/C][C]103.421448472799[/C][C]-1.49791085679311[/C][/ROW]
[ROW][C]39[/C][C]113.3[/C][C]115.598811932252[/C][C]7.16143566632576[/C][C]103.839752401422[/C][C]2.29881193225204[/C][/ROW]
[ROW][C]40[/C][C]104.6[/C][C]105.791858802807[/C][C]-0.836815305776498[/C][C]104.244956502969[/C][C]1.19185880280705[/C][/ROW]
[ROW][C]41[/C][C]99.3[/C][C]95.7707259774495[/C][C]-1.82088658196619[/C][C]104.650160604517[/C][C]-3.52927402255048[/C][/ROW]
[ROW][C]42[/C][C]111.8[/C][C]112.416221759798[/C][C]6.22657176721205[/C][C]104.95720647299[/C][C]0.616221759797511[/C][/ROW]
[ROW][C]43[/C][C]97.3[/C][C]98.481719396587[/C][C]-9.1459717380513[/C][C]105.264252341464[/C][C]1.18171939658711[/C][/ROW]
[ROW][C]44[/C][C]97.7[/C][C]98.4968636359493[/C][C]-8.42239679669553[/C][C]105.325533160746[/C][C]0.796863635949322[/C][/ROW]
[ROW][C]45[/C][C]115.6[/C][C]119.362006748308[/C][C]6.45117927166415[/C][C]105.386813980028[/C][C]3.76200674830761[/C][/ROW]
[ROW][C]46[/C][C]111.9[/C][C]110.618216226589[/C][C]7.91044708560312[/C][C]105.271336687808[/C][C]-1.28178377341062[/C][/ROW]
[ROW][C]47[/C][C]107[/C][C]107.26442385043[/C][C]1.57971675398323[/C][C]105.155859395587[/C][C]0.264423850429978[/C][/ROW]
[ROW][C]48[/C][C]107.1[/C][C]111.7399070658[/C][C]-2.51668662086836[/C][C]104.976779555069[/C][C]4.63990706579963[/C][/ROW]
[ROW][C]49[/C][C]100.6[/C][C]99.7653562315195[/C][C]-3.36305594607018[/C][C]104.797699714551[/C][C]-0.834643768480504[/C][/ROW]
[ROW][C]50[/C][C]99.2[/C][C]97.0418230435992[/C][C]-3.22353761600566[/C][C]104.581714572406[/C][C]-2.15817695640081[/C][/ROW]
[ROW][C]51[/C][C]108.4[/C][C]105.272834903412[/C][C]7.16143566632576[/C][C]104.365729430262[/C][C]-3.12716509658803[/C][/ROW]
[ROW][C]52[/C][C]103[/C][C]102.515986687714[/C][C]-0.836815305776498[/C][C]104.320828618062[/C][C]-0.484013312285583[/C][/ROW]
[ROW][C]53[/C][C]99.8[/C][C]97.1449587761043[/C][C]-1.82088658196619[/C][C]104.275927805862[/C][C]-2.65504122389569[/C][/ROW]
[ROW][C]54[/C][C]115[/C][C]119.205883871517[/C][C]6.22657176721205[/C][C]104.567544361271[/C][C]4.20588387151703[/C][/ROW]
[ROW][C]55[/C][C]90.8[/C][C]85.8868108213713[/C][C]-9.1459717380513[/C][C]104.85916091668[/C][C]-4.91318917862866[/C][/ROW]
[ROW][C]56[/C][C]95.9[/C][C]94.8309473163556[/C][C]-8.42239679669553[/C][C]105.39144948034[/C][C]-1.06905268364443[/C][/ROW]
[ROW][C]57[/C][C]114.4[/C][C]116.425082684336[/C][C]6.45117927166415[/C][C]105.923738044[/C][C]2.02508268433589[/C][/ROW]
[ROW][C]58[/C][C]108.2[/C][C]101.982430590535[/C][C]7.91044708560312[/C][C]106.507122323862[/C][C]-6.21756940946491[/C][/ROW]
[ROW][C]59[/C][C]112.6[/C][C]116.529776642293[/C][C]1.57971675398323[/C][C]107.090506603724[/C][C]3.92977664229313[/C][/ROW]
[ROW][C]60[/C][C]109.1[/C][C]113.117067079578[/C][C]-2.51668662086836[/C][C]107.59961954129[/C][C]4.01706707957814[/C][/ROW]
[ROW][C]61[/C][C]105[/C][C]105.254323467213[/C][C]-3.36305594607018[/C][C]108.108732478857[/C][C]0.254323467213339[/C][/ROW]
[ROW][C]62[/C][C]105[/C][C]104.687213341271[/C][C]-3.22353761600566[/C][C]108.536324274734[/C][C]-0.312786658728612[/C][/ROW]
[ROW][C]63[/C][C]118.5[/C][C]120.874648263063[/C][C]7.16143566632576[/C][C]108.963916070612[/C][C]2.37464826306254[/C][/ROW]
[ROW][C]64[/C][C]103.7[/C][C]98.94171524087[/C][C]-0.836815305776498[/C][C]109.295100064907[/C][C]-4.75828475913004[/C][/ROW]
[ROW][C]65[/C][C]112.5[/C][C]117.194602522765[/C][C]-1.82088658196619[/C][C]109.626284059201[/C][C]4.69460252276482[/C][/ROW]
[ROW][C]66[/C][C]116.6[/C][C]117.048596558402[/C][C]6.22657176721205[/C][C]109.924831674386[/C][C]0.448596558402357[/C][/ROW]
[ROW][C]67[/C][C]96.6[/C][C]92.1225924484815[/C][C]-9.1459717380513[/C][C]110.22337928957[/C][C]-4.47740755151851[/C][/ROW]
[ROW][C]68[/C][C]101.9[/C][C]101.652838846053[/C][C]-8.42239679669553[/C][C]110.569557950642[/C][C]-0.247161153946919[/C][/ROW]
[ROW][C]69[/C][C]116.5[/C][C]115.633084116621[/C][C]6.45117927166415[/C][C]110.915736611715[/C][C]-0.866915883379235[/C][/ROW]
[ROW][C]70[/C][C]119.3[/C][C]119.437927012869[/C][C]7.91044708560312[/C][C]111.251625901528[/C][C]0.137927012868715[/C][/ROW]
[ROW][C]71[/C][C]115.4[/C][C]117.632768054676[/C][C]1.57971675398323[/C][C]111.587515191341[/C][C]2.23276805467553[/C][/ROW]
[ROW][C]72[/C][C]108.5[/C][C]107.607752647242[/C][C]-2.51668662086836[/C][C]111.908933973626[/C][C]-0.89224735275792[/C][/ROW]
[ROW][C]73[/C][C]111.5[/C][C]114.132703190159[/C][C]-3.36305594607018[/C][C]112.230352755911[/C][C]2.63270319015885[/C][/ROW]
[ROW][C]74[/C][C]108.8[/C][C]108.345956902889[/C][C]-3.22353761600566[/C][C]112.477580713116[/C][C]-0.454043097110628[/C][/ROW]
[ROW][C]75[/C][C]121.8[/C][C]123.713755663353[/C][C]7.16143566632576[/C][C]112.724808670321[/C][C]1.91375566335302[/C][/ROW]
[ROW][C]76[/C][C]109.6[/C][C]107.192895465867[/C][C]-0.836815305776498[/C][C]112.84391983991[/C][C]-2.40710453413328[/C][/ROW]
[ROW][C]77[/C][C]112.2[/C][C]113.257855572468[/C][C]-1.82088658196619[/C][C]112.963031009498[/C][C]1.05785557246786[/C][/ROW]
[ROW][C]78[/C][C]119.6[/C][C]119.868956920226[/C][C]6.22657176721205[/C][C]113.104471312562[/C][C]0.268956920226444[/C][/ROW]
[ROW][C]79[/C][C]104.1[/C][C]104.100060122427[/C][C]-9.1459717380513[/C][C]113.245911615625[/C][C]6.01224266318923e-05[/C][/ROW]
[ROW][C]80[/C][C]105.3[/C][C]105.555672970987[/C][C]-8.42239679669553[/C][C]113.466723825709[/C][C]0.255672970987007[/C][/ROW]
[ROW][C]81[/C][C]115[/C][C]109.861284692543[/C][C]6.45117927166415[/C][C]113.687536035792[/C][C]-5.13871530745651[/C][/ROW]
[ROW][C]82[/C][C]124.1[/C][C]126.375309118494[/C][C]7.91044708560312[/C][C]113.914243795903[/C][C]2.27530911849357[/C][/ROW]
[ROW][C]83[/C][C]116.8[/C][C]117.879331690002[/C][C]1.57971675398323[/C][C]114.140951556014[/C][C]1.07933169000249[/C][/ROW]
[ROW][C]84[/C][C]107.5[/C][C]103.227042666355[/C][C]-2.51668662086836[/C][C]114.289643954513[/C][C]-4.2729573336448[/C][/ROW]
[ROW][C]85[/C][C]115.6[/C][C]120.124719593058[/C][C]-3.36305594607018[/C][C]114.438336353012[/C][C]4.52471959305809[/C][/ROW]
[ROW][C]86[/C][C]116.2[/C][C]121.172602021684[/C][C]-3.22353761600566[/C][C]114.450935594321[/C][C]4.97260202168434[/C][/ROW]
[ROW][C]87[/C][C]116.3[/C][C]110.975029498044[/C][C]7.16143566632576[/C][C]114.463534835631[/C][C]-5.32497050195634[/C][/ROW]
[ROW][C]88[/C][C]119[/C][C]124.782537577832[/C][C]-0.836815305776498[/C][C]114.054277727944[/C][C]5.78253757783204[/C][/ROW]
[ROW][C]89[/C][C]111.9[/C][C]111.975865961708[/C][C]-1.82088658196619[/C][C]113.645020620258[/C][C]0.075865961707862[/C][/ROW]
[ROW][C]90[/C][C]118.6[/C][C]118.368657065871[/C][C]6.22657176721205[/C][C]112.604771166917[/C][C]-0.231342934129245[/C][/ROW]
[ROW][C]91[/C][C]106.9[/C][C]111.381450024475[/C][C]-9.1459717380513[/C][C]111.564521713576[/C][C]4.48145002447527[/C][/ROW]
[ROW][C]92[/C][C]103.2[/C][C]104.793842386091[/C][C]-8.42239679669553[/C][C]110.028554410605[/C][C]1.59384238609073[/C][/ROW]
[ROW][C]93[/C][C]118.6[/C][C]122.256233620702[/C][C]6.45117927166415[/C][C]108.492587107634[/C][C]3.6562336207023[/C][/ROW]
[ROW][C]94[/C][C]118.7[/C][C]122.710573028355[/C][C]7.91044708560312[/C][C]106.778979886042[/C][C]4.01057302835459[/C][/ROW]
[ROW][C]95[/C][C]102.8[/C][C]98.9549105815657[/C][C]1.57971675398323[/C][C]105.065372664451[/C][C]-3.8450894184343[/C][/ROW]
[ROW][C]96[/C][C]100.6[/C][C]100.247556355072[/C][C]-2.51668662086836[/C][C]103.469130265796[/C][C]-0.352443644927931[/C][/ROW]
[ROW][C]97[/C][C]94.9[/C][C]91.2901680789287[/C][C]-3.36305594607018[/C][C]101.872887867142[/C][C]-3.60983192107135[/C][/ROW]
[ROW][C]98[/C][C]94.5[/C][C]91.5951931702332[/C][C]-3.22353761600566[/C][C]100.628344445772[/C][C]-2.90480682976677[/C][/ROW]
[ROW][C]99[/C][C]102.9[/C][C]99.254763309271[/C][C]7.16143566632576[/C][C]99.3838010244033[/C][C]-3.64523669072908[/C][/ROW]
[ROW][C]100[/C][C]95.3[/C][C]92.812062947814[/C][C]-0.836815305776498[/C][C]98.6247523579624[/C][C]-2.48793705218596[/C][/ROW]
[ROW][C]101[/C][C]92.5[/C][C]88.9551828904446[/C][C]-1.82088658196619[/C][C]97.8657036915216[/C][C]-3.5448171095554[/C][/ROW]
[ROW][C]102[/C][C]102.7[/C][C]101.598655735028[/C][C]6.22657176721205[/C][C]97.5747724977601[/C][C]-1.10134426497216[/C][/ROW]
[ROW][C]103[/C][C]91.5[/C][C]94.8621304340527[/C][C]-9.1459717380513[/C][C]97.2838413039986[/C][C]3.36213043405267[/C][/ROW]
[ROW][C]104[/C][C]89.5[/C][C]89.966503675772[/C][C]-8.42239679669553[/C][C]97.4558931209235[/C][C]0.466503675771975[/C][/ROW]
[ROW][C]105[/C][C]104.2[/C][C]104.320875790487[/C][C]6.45117927166415[/C][C]97.6279449378485[/C][C]0.120875790487389[/C][/ROW]
[ROW][C]106[/C][C]105.2[/C][C]104.330981297541[/C][C]7.91044708560312[/C][C]98.1585716168558[/C][C]-0.869018702458916[/C][/ROW]
[ROW][C]107[/C][C]99[/C][C]97.7310849501536[/C][C]1.57971675398323[/C][C]98.6891982958632[/C][C]-1.26891504984638[/C][/ROW]
[ROW][C]108[/C][C]95.5[/C][C]94.131794696148[/C][C]-2.51668662086836[/C][C]99.3848919247204[/C][C]-1.36820530385204[/C][/ROW]
[ROW][C]109[/C][C]90.5[/C][C]84.2824703924925[/C][C]-3.36305594607018[/C][C]100.080585553578[/C][C]-6.21752960750749[/C][/ROW]
[ROW][C]110[/C][C]96.1[/C][C]94.566482467135[/C][C]-3.22353761600566[/C][C]100.857055148871[/C][C]-1.53351753286496[/C][/ROW]
[ROW][C]111[/C][C]113[/C][C]117.205039589511[/C][C]7.16143566632576[/C][C]101.633524744164[/C][C]4.20503958951068[/C][/ROW]
[ROW][C]112[/C][C]101.9[/C][C]102.12553924281[/C][C]-0.836815305776498[/C][C]102.511276062967[/C][C]0.225539242809788[/C][/ROW]
[ROW][C]113[/C][C]101.4[/C][C]101.231859200196[/C][C]-1.82088658196619[/C][C]103.38902738177[/C][C]-0.168140799803652[/C][/ROW]
[ROW][C]114[/C][C]113.6[/C][C]116.763221062534[/C][C]6.22657176721205[/C][C]104.210207170254[/C][C]3.16322106253395[/C][/ROW]
[ROW][C]115[/C][C]96.6[/C][C]97.3145847793131[/C][C]-9.1459717380513[/C][C]105.031386958738[/C][C]0.714584779313142[/C][/ROW]
[ROW][C]116[/C][C]97.8[/C][C]98.1419724255337[/C][C]-8.42239679669553[/C][C]105.880424371162[/C][C]0.341972425533683[/C][/ROW]
[ROW][C]117[/C][C]114.9[/C][C]116.61935894475[/C][C]6.45117927166415[/C][C]106.729461783586[/C][C]1.71935894475033[/C][/ROW]
[ROW][C]118[/C][C]112.5[/C][C]109.516675698336[/C][C]7.91044708560312[/C][C]107.572877216061[/C][C]-2.98332430166414[/C][/ROW]
[ROW][C]119[/C][C]108.4[/C][C]106.80399059748[/C][C]1.57971675398323[/C][C]108.416292648537[/C][C]-1.59600940251975[/C][/ROW]
[ROW][C]120[/C][C]107[/C][C]107.286069267529[/C][C]-2.51668662086836[/C][C]109.23061735334[/C][C]0.286069267528688[/C][/ROW]
[ROW][C]121[/C][C]103.5[/C][C]100.318113887927[/C][C]-3.36305594607018[/C][C]110.044942058143[/C][C]-3.18188611207265[/C][/ROW]
[ROW][C]122[/C][C]107.5[/C][C]107.374960081745[/C][C]-3.22353761600566[/C][C]110.848577534261[/C][C]-0.12503991825524[/C][/ROW]
[ROW][C]123[/C][C]122.3[/C][C]125.786351323295[/C][C]7.16143566632576[/C][C]111.652213010379[/C][C]3.48635132329528[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=149937&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=149937&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	101.5	103.844003052029	-3.36305594607018	102.519052894042	2.34400305202851
2	100.7	102.613731370649	-3.22353761600566	102.009806245357	1.91373137064872
3	110.6	112.538004737002	7.16143566632576	101.500559596672	1.938004737002
4	96.8	93.381911171414	-0.836815305776498	101.054904134363	-3.41808882858602
5	100	101.211637909913	-1.82088658196619	100.609248672053	1.21163790991339
6	104.8	103.161107180509	6.22657176721205	100.212321052278	-1.63889281949054
7	86.8	82.9305783055471	-9.1459717380513	99.8153934325042	-3.86942169445287
8	92	92.9738906891238	-8.42239679669553	99.4485061075717	0.97389068912382
9	100.2	94.8672019456966	6.45117927166415	99.0816187826392	-5.33279805430338
10	106.6	106.269023003844	7.91044708560312	99.0205299105526	-0.330976996155712
11	102.1	103.660842207551	1.57971675398323	98.959441038466	1.56084220755082
12	93.7	90.7000776072938	-2.51668662086836	99.2166090135746	-2.99992239270624
13	97.6	99.0892789573869	-3.36305594607018	99.4737769886833	1.48927895738687
14	96.9	97.2364384019576	-3.22353761600566	99.787099214048	0.336438401957608
15	105.6	103.938142894261	7.16143566632576	100.100421439413	-1.66185710573856
16	102.8	106.044442821558	-0.836815305776498	100.392372484219	3.24444282155766
17	101.7	104.536563052941	-1.82088658196619	100.684323529025	2.83656305294132
18	104.2	101.274826341541	6.22657176721205	100.898601891247	-2.9251736584588
19	92.7	93.4330914845827	-9.1459717380513	101.112880253469	0.733091484582658
20	91.9	91.01047977438	-8.42239679669553	101.211917022316	-0.88952022562006
21	106.5	105.237866937173	6.45117927166415	101.310953791163	-1.26213306282668
22	112.3	115.373700618033	7.91044708560312	101.315852296364	3.07370061803303
23	102.8	102.699532444452	1.57971675398323	101.320750801565	-0.10046755554842
24	96.5	94.2125742204952	-2.51668662086836	101.304112400373	-2.28742577950484
25	101	104.075581946889	-3.36305594607018	101.287473999181	3.07558194688895
26	98.9	99.738785930955	-3.22353761600566	101.284751685051	0.838785930955083
27	105.1	101.756534962754	7.16143566632576	101.28202937092	-3.34346503724569
28	103	105.553150237059	-0.836815305776498	101.283665068718	2.55315023705897
29	99	98.535585815451	-1.82088658196619	101.285300766515	-0.464414184548929
30	104.3	101.026824790725	6.22657176721205	101.346603442063	-3.2731752092746
31	94.6	96.9380656204413	-9.1459717380513	101.40790611761	2.33806562044133
32	90.4	87.6469047357679	-8.42239679669553	101.575492060928	-2.75309526423214
33	108.9	109.605742724091	6.45117927166415	101.743078004245	0.705742724090499
34	111.4	112.869281327449	7.91044708560312	102.020271586948	1.46928132744907
35	100.8	97.7228180763665	1.57971675398323	102.29746516965	-3.07718192363353
36	102.5	104.866381763956	-2.51668662086836	102.650304856913	2.36638176395556
37	98.2	96.7599114018948	-3.36305594607018	103.003144544175	-1.44008859810516
38	98.7	97.202089143207	-3.22353761600566	103.421448472799	-1.49791085679311
39	113.3	115.598811932252	7.16143566632576	103.839752401422	2.29881193225204
40	104.6	105.791858802807	-0.836815305776498	104.244956502969	1.19185880280705
41	99.3	95.7707259774495	-1.82088658196619	104.650160604517	-3.52927402255048
42	111.8	112.416221759798	6.22657176721205	104.95720647299	0.616221759797511
43	97.3	98.481719396587	-9.1459717380513	105.264252341464	1.18171939658711
44	97.7	98.4968636359493	-8.42239679669553	105.325533160746	0.796863635949322
45	115.6	119.362006748308	6.45117927166415	105.386813980028	3.76200674830761
46	111.9	110.618216226589	7.91044708560312	105.271336687808	-1.28178377341062
47	107	107.26442385043	1.57971675398323	105.155859395587	0.264423850429978
48	107.1	111.7399070658	-2.51668662086836	104.976779555069	4.63990706579963
49	100.6	99.7653562315195	-3.36305594607018	104.797699714551	-0.834643768480504
50	99.2	97.0418230435992	-3.22353761600566	104.581714572406	-2.15817695640081
51	108.4	105.272834903412	7.16143566632576	104.365729430262	-3.12716509658803
52	103	102.515986687714	-0.836815305776498	104.320828618062	-0.484013312285583
53	99.8	97.1449587761043	-1.82088658196619	104.275927805862	-2.65504122389569
54	115	119.205883871517	6.22657176721205	104.567544361271	4.20588387151703
55	90.8	85.8868108213713	-9.1459717380513	104.85916091668	-4.91318917862866
56	95.9	94.8309473163556	-8.42239679669553	105.39144948034	-1.06905268364443
57	114.4	116.425082684336	6.45117927166415	105.923738044	2.02508268433589
58	108.2	101.982430590535	7.91044708560312	106.507122323862	-6.21756940946491
59	112.6	116.529776642293	1.57971675398323	107.090506603724	3.92977664229313
60	109.1	113.117067079578	-2.51668662086836	107.59961954129	4.01706707957814
61	105	105.254323467213	-3.36305594607018	108.108732478857	0.254323467213339
62	105	104.687213341271	-3.22353761600566	108.536324274734	-0.312786658728612
63	118.5	120.874648263063	7.16143566632576	108.963916070612	2.37464826306254
64	103.7	98.94171524087	-0.836815305776498	109.295100064907	-4.75828475913004
65	112.5	117.194602522765	-1.82088658196619	109.626284059201	4.69460252276482
66	116.6	117.048596558402	6.22657176721205	109.924831674386	0.448596558402357
67	96.6	92.1225924484815	-9.1459717380513	110.22337928957	-4.47740755151851
68	101.9	101.652838846053	-8.42239679669553	110.569557950642	-0.247161153946919
69	116.5	115.633084116621	6.45117927166415	110.915736611715	-0.866915883379235
70	119.3	119.437927012869	7.91044708560312	111.251625901528	0.137927012868715
71	115.4	117.632768054676	1.57971675398323	111.587515191341	2.23276805467553
72	108.5	107.607752647242	-2.51668662086836	111.908933973626	-0.89224735275792
73	111.5	114.132703190159	-3.36305594607018	112.230352755911	2.63270319015885
74	108.8	108.345956902889	-3.22353761600566	112.477580713116	-0.454043097110628
75	121.8	123.713755663353	7.16143566632576	112.724808670321	1.91375566335302
76	109.6	107.192895465867	-0.836815305776498	112.84391983991	-2.40710453413328
77	112.2	113.257855572468	-1.82088658196619	112.963031009498	1.05785557246786
78	119.6	119.868956920226	6.22657176721205	113.104471312562	0.268956920226444
79	104.1	104.100060122427	-9.1459717380513	113.245911615625	6.01224266318923e-05
80	105.3	105.555672970987	-8.42239679669553	113.466723825709	0.255672970987007
81	115	109.861284692543	6.45117927166415	113.687536035792	-5.13871530745651
82	124.1	126.375309118494	7.91044708560312	113.914243795903	2.27530911849357
83	116.8	117.879331690002	1.57971675398323	114.140951556014	1.07933169000249
84	107.5	103.227042666355	-2.51668662086836	114.289643954513	-4.2729573336448
85	115.6	120.124719593058	-3.36305594607018	114.438336353012	4.52471959305809
86	116.2	121.172602021684	-3.22353761600566	114.450935594321	4.97260202168434
87	116.3	110.975029498044	7.16143566632576	114.463534835631	-5.32497050195634
88	119	124.782537577832	-0.836815305776498	114.054277727944	5.78253757783204
89	111.9	111.975865961708	-1.82088658196619	113.645020620258	0.075865961707862
90	118.6	118.368657065871	6.22657176721205	112.604771166917	-0.231342934129245
91	106.9	111.381450024475	-9.1459717380513	111.564521713576	4.48145002447527
92	103.2	104.793842386091	-8.42239679669553	110.028554410605	1.59384238609073
93	118.6	122.256233620702	6.45117927166415	108.492587107634	3.6562336207023
94	118.7	122.710573028355	7.91044708560312	106.778979886042	4.01057302835459
95	102.8	98.9549105815657	1.57971675398323	105.065372664451	-3.8450894184343
96	100.6	100.247556355072	-2.51668662086836	103.469130265796	-0.352443644927931
97	94.9	91.2901680789287	-3.36305594607018	101.872887867142	-3.60983192107135
98	94.5	91.5951931702332	-3.22353761600566	100.628344445772	-2.90480682976677
99	102.9	99.254763309271	7.16143566632576	99.3838010244033	-3.64523669072908
100	95.3	92.812062947814	-0.836815305776498	98.6247523579624	-2.48793705218596
101	92.5	88.9551828904446	-1.82088658196619	97.8657036915216	-3.5448171095554
102	102.7	101.598655735028	6.22657176721205	97.5747724977601	-1.10134426497216
103	91.5	94.8621304340527	-9.1459717380513	97.2838413039986	3.36213043405267
104	89.5	89.966503675772	-8.42239679669553	97.4558931209235	0.466503675771975
105	104.2	104.320875790487	6.45117927166415	97.6279449378485	0.120875790487389
106	105.2	104.330981297541	7.91044708560312	98.1585716168558	-0.869018702458916
107	99	97.7310849501536	1.57971675398323	98.6891982958632	-1.26891504984638
108	95.5	94.131794696148	-2.51668662086836	99.3848919247204	-1.36820530385204
109	90.5	84.2824703924925	-3.36305594607018	100.080585553578	-6.21752960750749
110	96.1	94.566482467135	-3.22353761600566	100.857055148871	-1.53351753286496
111	113	117.205039589511	7.16143566632576	101.633524744164	4.20503958951068
112	101.9	102.12553924281	-0.836815305776498	102.511276062967	0.225539242809788
113	101.4	101.231859200196	-1.82088658196619	103.38902738177	-0.168140799803652
114	113.6	116.763221062534	6.22657176721205	104.210207170254	3.16322106253395
115	96.6	97.3145847793131	-9.1459717380513	105.031386958738	0.714584779313142
116	97.8	98.1419724255337	-8.42239679669553	105.880424371162	0.341972425533683
117	114.9	116.61935894475	6.45117927166415	106.729461783586	1.71935894475033
118	112.5	109.516675698336	7.91044708560312	107.572877216061	-2.98332430166414
119	108.4	106.80399059748	1.57971675398323	108.416292648537	-1.59600940251975
120	107	107.286069267529	-2.51668662086836	109.23061735334	0.286069267528688
121	103.5	100.318113887927	-3.36305594607018	110.044942058143	-3.18188611207265
122	107.5	107.374960081745	-3.22353761600566	110.848577534261	-0.12503991825524
123	122.3	125.786351323295	7.16143566632576	111.652213010379	3.48635132329528

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