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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_structuraltimeseries.wasp
Title produced by softwareStructural Time Series Models
Date of computationThu, 03 Dec 2009 10:57:55 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Dec/03/t12598631232xw8t84wa1o18f1.htm/, Retrieved Fri, 29 Mar 2024 04:38:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=62998, Retrieved Fri, 29 Mar 2024 04:38:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact148
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [Structural Time Series Models] [] [2009-11-27 15:02:30] [b98453cac15ba1066b407e146608df68]
-   PD      [Structural Time Series Models] [workshop 9 bereke...] [2009-12-03 17:57:55] [78d370e6d5f4594e9982a5085e7604c6] [Current]
-   PD        [Structural Time Series Models] [review workshop 9] [2009-12-04 10:34:55] [eaf42bcf5162b5692bb3c7f9d4636222]
-    D          [Structural Time Series Models] [review workshop 9] [2009-12-06 10:44:50] [eaf42bcf5162b5692bb3c7f9d4636222]
-   PD        [Structural Time Series Models] [review workshop 9] [2009-12-04 10:34:55] [eaf42bcf5162b5692bb3c7f9d4636222]
-   PD        [Structural Time Series Models] [] [2009-12-09 16:15:18] [3425351e86519d261a643e224a0c8ee1]
-   P         [Structural Time Series Models] [] [2009-12-12 17:02:22] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
4716.99
4926.65
4920.10
5170.09
5246.24
5283.61
4979.05
4825.20
4695.12
4711.54
4727.22
4384.96
4378.75
4472.93
4564.07
4310.54
4171.38
4049.38
3591.37
3720.46
4107.23
4101.71
4162.34
4136.22
4125.88
4031.48
3761.36
3408.56
3228.47
3090.45
2741.14
2980.44
3104.33
3181.57
2863.86
2898.01
3112.33
3254.33
3513.47
3587.61
3727.45
3793.34
3817.58
3845.13
3931.86
4197.52
4307.13
4229.43
4362.28
4217.34
4361.28
4327.74
4417.65
4557.68
4650.35
4967.18
5123.42
5290.85
5535.66
5514.06
5493.88
5694.83
5850.41
6116.64
6175.00
6513.58
6383.78
6673.66
6936.61
7300.68
7392.93
7497.31
7584.71
7160.79
7196.19
7245.63
7347.51
7425.75
7778.51
7822.33
8181.22
8371.47
8347.71
8672.11
8802.79
9138.46
9123.29
9023.21
8850.41
8864.58
9163.74
8516.66
8553.44
7555.20
7851.22
7442.00
7992.53
8264.04
7517.39
7200.40
7193.69
6193.58
5104.21
4800.46
4461.61
4398.59
4243.63
4293.82




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=62998&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=62998&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62998&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Structural Time Series Model
tObservedLevelSlopeSeasonalStand. Residuals
14716.994716.99000
24926.654915.8238934648212.291776647980710.82610653517720.474143182426502
34920.14909.3268332928211.478358355738010.7731667071821-0.0734824681006915
45170.095158.6875485341526.014198440962511.40245146585320.921510114350787
55246.245234.7153717612529.842533826946611.52462823875400.192107471638571
65283.615272.068666527230.514930258978211.54133347279690.0286401383000769
74979.054968.1779507151-2.9770307555556010.8720492848993-1.26741586773592
84825.24814.5966152821-19.343967019337610.6033847178987-0.56796472904498
94695.124684.69108854291-32.101694909912510.4289114570866-0.415292614347238
104711.544701.04384669712-26.257572588702610.49615330287670.181431462760696
114727.224716.67296336093-21.037399494114010.54703663906650.156452449748119
124384.964374.75299305129-62.010690711178410.2070069487136-1.19624486917932
134378.754436.73343869824-47.7041255128459-57.9834386982390.54484929709266
144472.934465.89583591745-37.41234591126827.034164082550520.242844075962779
154564.074557.04150936607-20.33173985185797.028490633932830.477273329575311
164310.544303.50260130892-51.55627732486397.0373986910815-0.865276390319022
174171.384164.33970554415-63.35364913472957.04029445584965-0.324906830983984
184049.384042.33802915334-71.28521903139237.04197084666357-0.217436545685577
193591.373584.31847453474-123.7541032952207.05152546526229-1.43345909869020
203720.463713.41387187157-89.36810820602597.046128128431540.937033817508478
214107.234100.19265105717-24.50048048073377.037348942827431.76431044845353
224101.714094.67295328399-21.91123630003977.037046716008660.0703241064200002
234162.344155.30408812257-10.64025154586787.035911877434750.305797827925542
244136.224129.18390437811-12.75554880397467.03609562189286-0.0573458877171195
254125.884188.23893747785-3.11678906716208-62.35893747785130.289731068152174
264031.484028.10070478333-24.38101111345913.37929521666738-0.529160684893247
273761.363757.92118652420-58.01483605192273.43881347580425-0.9102431428449
283408.563405.05956319205-98.36695953494943.50043680794973-1.09190368296418
293228.473224.95481818324-109.5548684275493.51518181676425-0.302705118195113
303090.453086.93038547113-113.4520451684333.51961452886704-0.105435258230845
312741.142737.58868550287-145.7452869277943.55131449712617-0.87361740661691
322980.442976.93335069631-93.02339821950953.506649303692961.42620229767075
333104.333100.84506724284-63.32185886247743.484932757164620.803442188384188
343181.573178.09721279508-44.07454727177933.472787204921150.520636908689185
352863.862860.36680639736-81.54443591468923.49319360264471-1.01353612875065
362898.012894.524252856-65.70177737732183.485747143999630.428527702181873
373112.333111.68071084429-27.29294006366390.649289155711921.11018305782392
383254.333252.58198045968-4.49129950171681.748019540322120.582396729051283
393513.473511.7764559108931.62199202703121.693544089108640.97645256497049
403587.613585.924036902137.44580897553481.685963097897150.157481621939537
413727.453725.7797933015751.4701946108321.670206698433690.379257671785835
423793.343791.6717083190753.4451093420641.668291680926090.0534096839371694
433817.583815.9083609300649.44535604478771.67163906993779-0.108173430408701
443845.133843.456195046646.44677688140151.67380495339840-0.0810988394344724
453931.863930.1896341425551.9634801964271.670365857451730.149206410047856
464197.524195.8653796076481.22836640727871.654620392356700.791518731463537
474307.134305.4771844285385.11507777489341.652815571467370.105123906839561
484229.434227.7682486880562.8186042633891.66175131195165-0.603057870740139
494362.284372.1826589797773.9279075564652-9.902658979773220.315786596542491
504217.344218.3789370778843.0006322761441-1.03893707788023-0.800393009891683
514361.284362.3358790662856.8272562125938-1.055879066283360.373865937961279
524327.744328.7827894602744.4496948531407-1.04278946026654-0.334710182348936
534417.654418.6984724606250.676034628179-1.048472460622230.168380595553360
544557.684558.7381127885162.9136494584889-1.058112788511370.330959548503073
554650.354651.4108835066766.9888554396978-1.060883506666930.110215274502267
564967.184968.26096115749101.204453736285-1.080961157486580.92539436899065
575123.425124.50477822304108.741413871920-1.084778223039920.203848137453370
585290.855291.93829122378116.778547518771-1.088291223775150.217378977263251
595535.665536.75490546699134.311707600534-1.094905466987730.474221112831057
605514.065515.14795391804112.960656443390-1.08795391804169-0.577488284858046
615493.885492.9624639606394.53753249872350.91753603936832-0.518577928452614
625694.835694.16102348844109.0427431552120.668976511557310.378444331402451
635850.415849.74752593441115.4170986032270.6624740655875060.172368407652804
646116.646115.99571780659136.0731616375240.6442821934084870.558595597647032
6561756174.34762749772125.4296749307680.652372502275441-0.287842657372996
666513.586512.94677845454154.6214605762090.6332215454580920.789492014875746
676383.786383.12472368476115.6697900540400.655276315244423-1.05347679181640
686673.666673.01638240153139.5275235886930.643617598467870.645263145153977
696936.616935.97351108528156.4297442713820.6364889147190630.457149231481348
707300.687300.05386168012184.8649612779960.6261383198811160.769087320776314
717392.937392.29987717766172.1819384331690.630122822339113-0.343040591962557
727497.317496.67735964767162.8969529758210.632640352333754-0.251134670148619
737584.717595.98851243948154.222183930943-11.2785124394809-0.242587193683522
747160.797163.298579977474.3251537458699-2.50857997740033-2.09615699538332
757196.197198.6939174245868.9936342680549-2.50391742457799-0.144174533300344
767245.637248.1319007355966.3155428998391-2.50190073558575-0.0724248136395152
777347.517350.0150663685971.1863083849607-2.505066368591110.131727794391126
787425.757428.2556082394472.1523257701151-2.505608239437480.0261263476820294
797778.517781.03421262287110.581288348258-2.524212622873311.03935167459402
807822.337824.85039249436101.438538125693-2.52039249436380-0.247279570629184
818181.228183.75310663398136.695291393995-2.533106633979750.953584763074233
828371.478374.0053892257144.029288724178-2.535389225704060.198363566572881
838347.718350.23921710754121.051700658928-2.52921710754449-0.621482221174525
848672.118674.64567291107148.898712863899-2.535672911068120.753191119910407
858802.798777.56885015513142.62301585278725.221149844873-0.174676268283618
869138.469139.60046868351172.514008884709-1.140468683509670.78741058187347
879123.299124.41088022865146.807886384767-1.12088022865161-0.695162404777605
889023.219024.30864954734112.994450835427-1.09864954733887-0.91445080278711
898850.418851.486439948473.8537513436139-1.07643994839492-1.05856010987136
908864.588865.652437011865.6800280022417-1.07243701180828-0.221064351685476
919163.749164.8259517986697.6546400260065-1.085951798658860.864794429344212
928516.668517.70874699143-4.33384005982002-1.0487469914273-2.75845109364271
938553.448554.490519646351.29647987327590-1.050519646350450.152283249500874
947555.27556.21332555107-135.583616982515-1.01332555107067-3.70222671546491
957851.227852.24718672509-76.478617885217-1.027186725089021.59863617553322
9674427443.01796394945-122.044951144962-1.01796394944658-1.23245629015078
977992.537949.43349181159-36.224652467603843.09650818841222.38027621180336
988264.048266.3133230084911.9085426029695-2.273323008490681.27191057413278
997517.397519.59311124382-91.9852621817703-2.20311124382117-2.80962772561542
1007200.47202.58513439162-122.80114939434-2.18513439162517-0.833398554455185
1017193.697195.88313928954-106.902176930406-2.193139289536860.429992843692330
1026193.586195.71998412694-229.226474643052-2.13998412693853-3.30838015469042
1035104.215106.30580661488-347.020669364046-2.0958066148797-3.18591649669571
1044800.464802.55772467492-341.094948687163-2.097724674915560.160271944492674
1054461.614463.70781055924-340.787516058197-2.097810559237760.0083151603860756
1064398.594400.69698180428-302.749137257229-2.106981804282141.02883541325194
1074243.634245.74119322935-282.510520532841-2.111193229347050.547402958611653
1084293.824295.93937561659-236.949847608641-2.119375616590081.23230507978733

\begin{tabular}{lllllllll}
\hline
Structural Time Series Model \tabularnewline
t & Observed & Level & Slope & Seasonal & Stand. Residuals \tabularnewline
1 & 4716.99 & 4716.99 & 0 & 0 & 0 \tabularnewline
2 & 4926.65 & 4915.82389346482 & 12.2917766479807 & 10.8261065351772 & 0.474143182426502 \tabularnewline
3 & 4920.1 & 4909.32683329282 & 11.4783583557380 & 10.7731667071821 & -0.0734824681006915 \tabularnewline
4 & 5170.09 & 5158.68754853415 & 26.0141984409625 & 11.4024514658532 & 0.921510114350787 \tabularnewline
5 & 5246.24 & 5234.71537176125 & 29.8425338269466 & 11.5246282387540 & 0.192107471638571 \tabularnewline
6 & 5283.61 & 5272.0686665272 & 30.5149302589782 & 11.5413334727969 & 0.0286401383000769 \tabularnewline
7 & 4979.05 & 4968.1779507151 & -2.97703075555560 & 10.8720492848993 & -1.26741586773592 \tabularnewline
8 & 4825.2 & 4814.5966152821 & -19.3439670193376 & 10.6033847178987 & -0.56796472904498 \tabularnewline
9 & 4695.12 & 4684.69108854291 & -32.1016949099125 & 10.4289114570866 & -0.415292614347238 \tabularnewline
10 & 4711.54 & 4701.04384669712 & -26.2575725887026 & 10.4961533028767 & 0.181431462760696 \tabularnewline
11 & 4727.22 & 4716.67296336093 & -21.0373994941140 & 10.5470366390665 & 0.156452449748119 \tabularnewline
12 & 4384.96 & 4374.75299305129 & -62.0106907111784 & 10.2070069487136 & -1.19624486917932 \tabularnewline
13 & 4378.75 & 4436.73343869824 & -47.7041255128459 & -57.983438698239 & 0.54484929709266 \tabularnewline
14 & 4472.93 & 4465.89583591745 & -37.4123459112682 & 7.03416408255052 & 0.242844075962779 \tabularnewline
15 & 4564.07 & 4557.04150936607 & -20.3317398518579 & 7.02849063393283 & 0.477273329575311 \tabularnewline
16 & 4310.54 & 4303.50260130892 & -51.5562773248639 & 7.0373986910815 & -0.865276390319022 \tabularnewline
17 & 4171.38 & 4164.33970554415 & -63.3536491347295 & 7.04029445584965 & -0.324906830983984 \tabularnewline
18 & 4049.38 & 4042.33802915334 & -71.2852190313923 & 7.04197084666357 & -0.217436545685577 \tabularnewline
19 & 3591.37 & 3584.31847453474 & -123.754103295220 & 7.05152546526229 & -1.43345909869020 \tabularnewline
20 & 3720.46 & 3713.41387187157 & -89.3681082060259 & 7.04612812843154 & 0.937033817508478 \tabularnewline
21 & 4107.23 & 4100.19265105717 & -24.5004804807337 & 7.03734894282743 & 1.76431044845353 \tabularnewline
22 & 4101.71 & 4094.67295328399 & -21.9112363000397 & 7.03704671600866 & 0.0703241064200002 \tabularnewline
23 & 4162.34 & 4155.30408812257 & -10.6402515458678 & 7.03591187743475 & 0.305797827925542 \tabularnewline
24 & 4136.22 & 4129.18390437811 & -12.7555488039746 & 7.03609562189286 & -0.0573458877171195 \tabularnewline
25 & 4125.88 & 4188.23893747785 & -3.11678906716208 & -62.3589374778513 & 0.289731068152174 \tabularnewline
26 & 4031.48 & 4028.10070478333 & -24.3810111134591 & 3.37929521666738 & -0.529160684893247 \tabularnewline
27 & 3761.36 & 3757.92118652420 & -58.0148360519227 & 3.43881347580425 & -0.9102431428449 \tabularnewline
28 & 3408.56 & 3405.05956319205 & -98.3669595349494 & 3.50043680794973 & -1.09190368296418 \tabularnewline
29 & 3228.47 & 3224.95481818324 & -109.554868427549 & 3.51518181676425 & -0.302705118195113 \tabularnewline
30 & 3090.45 & 3086.93038547113 & -113.452045168433 & 3.51961452886704 & -0.105435258230845 \tabularnewline
31 & 2741.14 & 2737.58868550287 & -145.745286927794 & 3.55131449712617 & -0.87361740661691 \tabularnewline
32 & 2980.44 & 2976.93335069631 & -93.0233982195095 & 3.50664930369296 & 1.42620229767075 \tabularnewline
33 & 3104.33 & 3100.84506724284 & -63.3218588624774 & 3.48493275716462 & 0.803442188384188 \tabularnewline
34 & 3181.57 & 3178.09721279508 & -44.0745472717793 & 3.47278720492115 & 0.520636908689185 \tabularnewline
35 & 2863.86 & 2860.36680639736 & -81.5444359146892 & 3.49319360264471 & -1.01353612875065 \tabularnewline
36 & 2898.01 & 2894.524252856 & -65.7017773773218 & 3.48574714399963 & 0.428527702181873 \tabularnewline
37 & 3112.33 & 3111.68071084429 & -27.2929400636639 & 0.64928915571192 & 1.11018305782392 \tabularnewline
38 & 3254.33 & 3252.58198045968 & -4.4912995017168 & 1.74801954032212 & 0.582396729051283 \tabularnewline
39 & 3513.47 & 3511.77645591089 & 31.6219920270312 & 1.69354408910864 & 0.97645256497049 \tabularnewline
40 & 3587.61 & 3585.9240369021 & 37.4458089755348 & 1.68596309789715 & 0.157481621939537 \tabularnewline
41 & 3727.45 & 3725.77979330157 & 51.470194610832 & 1.67020669843369 & 0.379257671785835 \tabularnewline
42 & 3793.34 & 3791.67170831907 & 53.445109342064 & 1.66829168092609 & 0.0534096839371694 \tabularnewline
43 & 3817.58 & 3815.90836093006 & 49.4453560447877 & 1.67163906993779 & -0.108173430408701 \tabularnewline
44 & 3845.13 & 3843.4561950466 & 46.4467768814015 & 1.67380495339840 & -0.0810988394344724 \tabularnewline
45 & 3931.86 & 3930.18963414255 & 51.963480196427 & 1.67036585745173 & 0.149206410047856 \tabularnewline
46 & 4197.52 & 4195.86537960764 & 81.2283664072787 & 1.65462039235670 & 0.791518731463537 \tabularnewline
47 & 4307.13 & 4305.47718442853 & 85.1150777748934 & 1.65281557146737 & 0.105123906839561 \tabularnewline
48 & 4229.43 & 4227.76824868805 & 62.818604263389 & 1.66175131195165 & -0.603057870740139 \tabularnewline
49 & 4362.28 & 4372.18265897977 & 73.9279075564652 & -9.90265897977322 & 0.315786596542491 \tabularnewline
50 & 4217.34 & 4218.37893707788 & 43.0006322761441 & -1.03893707788023 & -0.800393009891683 \tabularnewline
51 & 4361.28 & 4362.33587906628 & 56.8272562125938 & -1.05587906628336 & 0.373865937961279 \tabularnewline
52 & 4327.74 & 4328.78278946027 & 44.4496948531407 & -1.04278946026654 & -0.334710182348936 \tabularnewline
53 & 4417.65 & 4418.69847246062 & 50.676034628179 & -1.04847246062223 & 0.168380595553360 \tabularnewline
54 & 4557.68 & 4558.73811278851 & 62.9136494584889 & -1.05811278851137 & 0.330959548503073 \tabularnewline
55 & 4650.35 & 4651.41088350667 & 66.9888554396978 & -1.06088350666693 & 0.110215274502267 \tabularnewline
56 & 4967.18 & 4968.26096115749 & 101.204453736285 & -1.08096115748658 & 0.92539436899065 \tabularnewline
57 & 5123.42 & 5124.50477822304 & 108.741413871920 & -1.08477822303992 & 0.203848137453370 \tabularnewline
58 & 5290.85 & 5291.93829122378 & 116.778547518771 & -1.08829122377515 & 0.217378977263251 \tabularnewline
59 & 5535.66 & 5536.75490546699 & 134.311707600534 & -1.09490546698773 & 0.474221112831057 \tabularnewline
60 & 5514.06 & 5515.14795391804 & 112.960656443390 & -1.08795391804169 & -0.577488284858046 \tabularnewline
61 & 5493.88 & 5492.96246396063 & 94.5375324987235 & 0.91753603936832 & -0.518577928452614 \tabularnewline
62 & 5694.83 & 5694.16102348844 & 109.042743155212 & 0.66897651155731 & 0.378444331402451 \tabularnewline
63 & 5850.41 & 5849.74752593441 & 115.417098603227 & 0.662474065587506 & 0.172368407652804 \tabularnewline
64 & 6116.64 & 6115.99571780659 & 136.073161637524 & 0.644282193408487 & 0.558595597647032 \tabularnewline
65 & 6175 & 6174.34762749772 & 125.429674930768 & 0.652372502275441 & -0.287842657372996 \tabularnewline
66 & 6513.58 & 6512.94677845454 & 154.621460576209 & 0.633221545458092 & 0.789492014875746 \tabularnewline
67 & 6383.78 & 6383.12472368476 & 115.669790054040 & 0.655276315244423 & -1.05347679181640 \tabularnewline
68 & 6673.66 & 6673.01638240153 & 139.527523588693 & 0.64361759846787 & 0.645263145153977 \tabularnewline
69 & 6936.61 & 6935.97351108528 & 156.429744271382 & 0.636488914719063 & 0.457149231481348 \tabularnewline
70 & 7300.68 & 7300.05386168012 & 184.864961277996 & 0.626138319881116 & 0.769087320776314 \tabularnewline
71 & 7392.93 & 7392.29987717766 & 172.181938433169 & 0.630122822339113 & -0.343040591962557 \tabularnewline
72 & 7497.31 & 7496.67735964767 & 162.896952975821 & 0.632640352333754 & -0.251134670148619 \tabularnewline
73 & 7584.71 & 7595.98851243948 & 154.222183930943 & -11.2785124394809 & -0.242587193683522 \tabularnewline
74 & 7160.79 & 7163.2985799774 & 74.3251537458699 & -2.50857997740033 & -2.09615699538332 \tabularnewline
75 & 7196.19 & 7198.69391742458 & 68.9936342680549 & -2.50391742457799 & -0.144174533300344 \tabularnewline
76 & 7245.63 & 7248.13190073559 & 66.3155428998391 & -2.50190073558575 & -0.0724248136395152 \tabularnewline
77 & 7347.51 & 7350.01506636859 & 71.1863083849607 & -2.50506636859111 & 0.131727794391126 \tabularnewline
78 & 7425.75 & 7428.25560823944 & 72.1523257701151 & -2.50560823943748 & 0.0261263476820294 \tabularnewline
79 & 7778.51 & 7781.03421262287 & 110.581288348258 & -2.52421262287331 & 1.03935167459402 \tabularnewline
80 & 7822.33 & 7824.85039249436 & 101.438538125693 & -2.52039249436380 & -0.247279570629184 \tabularnewline
81 & 8181.22 & 8183.75310663398 & 136.695291393995 & -2.53310663397975 & 0.953584763074233 \tabularnewline
82 & 8371.47 & 8374.0053892257 & 144.029288724178 & -2.53538922570406 & 0.198363566572881 \tabularnewline
83 & 8347.71 & 8350.23921710754 & 121.051700658928 & -2.52921710754449 & -0.621482221174525 \tabularnewline
84 & 8672.11 & 8674.64567291107 & 148.898712863899 & -2.53567291106812 & 0.753191119910407 \tabularnewline
85 & 8802.79 & 8777.56885015513 & 142.623015852787 & 25.221149844873 & -0.174676268283618 \tabularnewline
86 & 9138.46 & 9139.60046868351 & 172.514008884709 & -1.14046868350967 & 0.78741058187347 \tabularnewline
87 & 9123.29 & 9124.41088022865 & 146.807886384767 & -1.12088022865161 & -0.695162404777605 \tabularnewline
88 & 9023.21 & 9024.30864954734 & 112.994450835427 & -1.09864954733887 & -0.91445080278711 \tabularnewline
89 & 8850.41 & 8851.4864399484 & 73.8537513436139 & -1.07643994839492 & -1.05856010987136 \tabularnewline
90 & 8864.58 & 8865.6524370118 & 65.6800280022417 & -1.07243701180828 & -0.221064351685476 \tabularnewline
91 & 9163.74 & 9164.82595179866 & 97.6546400260065 & -1.08595179865886 & 0.864794429344212 \tabularnewline
92 & 8516.66 & 8517.70874699143 & -4.33384005982002 & -1.0487469914273 & -2.75845109364271 \tabularnewline
93 & 8553.44 & 8554.49051964635 & 1.29647987327590 & -1.05051964635045 & 0.152283249500874 \tabularnewline
94 & 7555.2 & 7556.21332555107 & -135.583616982515 & -1.01332555107067 & -3.70222671546491 \tabularnewline
95 & 7851.22 & 7852.24718672509 & -76.478617885217 & -1.02718672508902 & 1.59863617553322 \tabularnewline
96 & 7442 & 7443.01796394945 & -122.044951144962 & -1.01796394944658 & -1.23245629015078 \tabularnewline
97 & 7992.53 & 7949.43349181159 & -36.2246524676038 & 43.0965081884122 & 2.38027621180336 \tabularnewline
98 & 8264.04 & 8266.31332300849 & 11.9085426029695 & -2.27332300849068 & 1.27191057413278 \tabularnewline
99 & 7517.39 & 7519.59311124382 & -91.9852621817703 & -2.20311124382117 & -2.80962772561542 \tabularnewline
100 & 7200.4 & 7202.58513439162 & -122.80114939434 & -2.18513439162517 & -0.833398554455185 \tabularnewline
101 & 7193.69 & 7195.88313928954 & -106.902176930406 & -2.19313928953686 & 0.429992843692330 \tabularnewline
102 & 6193.58 & 6195.71998412694 & -229.226474643052 & -2.13998412693853 & -3.30838015469042 \tabularnewline
103 & 5104.21 & 5106.30580661488 & -347.020669364046 & -2.0958066148797 & -3.18591649669571 \tabularnewline
104 & 4800.46 & 4802.55772467492 & -341.094948687163 & -2.09772467491556 & 0.160271944492674 \tabularnewline
105 & 4461.61 & 4463.70781055924 & -340.787516058197 & -2.09781055923776 & 0.0083151603860756 \tabularnewline
106 & 4398.59 & 4400.69698180428 & -302.749137257229 & -2.10698180428214 & 1.02883541325194 \tabularnewline
107 & 4243.63 & 4245.74119322935 & -282.510520532841 & -2.11119322934705 & 0.547402958611653 \tabularnewline
108 & 4293.82 & 4295.93937561659 & -236.949847608641 & -2.11937561659008 & 1.23230507978733 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=62998&T=1

[TABLE]
[ROW][C]Structural Time Series Model[/C][/ROW]
[ROW][C]t[/C][C]Observed[/C][C]Level[/C][C]Slope[/C][C]Seasonal[/C][C]Stand. Residuals[/C][/ROW]
[ROW][C]1[/C][C]4716.99[/C][C]4716.99[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]4926.65[/C][C]4915.82389346482[/C][C]12.2917766479807[/C][C]10.8261065351772[/C][C]0.474143182426502[/C][/ROW]
[ROW][C]3[/C][C]4920.1[/C][C]4909.32683329282[/C][C]11.4783583557380[/C][C]10.7731667071821[/C][C]-0.0734824681006915[/C][/ROW]
[ROW][C]4[/C][C]5170.09[/C][C]5158.68754853415[/C][C]26.0141984409625[/C][C]11.4024514658532[/C][C]0.921510114350787[/C][/ROW]
[ROW][C]5[/C][C]5246.24[/C][C]5234.71537176125[/C][C]29.8425338269466[/C][C]11.5246282387540[/C][C]0.192107471638571[/C][/ROW]
[ROW][C]6[/C][C]5283.61[/C][C]5272.0686665272[/C][C]30.5149302589782[/C][C]11.5413334727969[/C][C]0.0286401383000769[/C][/ROW]
[ROW][C]7[/C][C]4979.05[/C][C]4968.1779507151[/C][C]-2.97703075555560[/C][C]10.8720492848993[/C][C]-1.26741586773592[/C][/ROW]
[ROW][C]8[/C][C]4825.2[/C][C]4814.5966152821[/C][C]-19.3439670193376[/C][C]10.6033847178987[/C][C]-0.56796472904498[/C][/ROW]
[ROW][C]9[/C][C]4695.12[/C][C]4684.69108854291[/C][C]-32.1016949099125[/C][C]10.4289114570866[/C][C]-0.415292614347238[/C][/ROW]
[ROW][C]10[/C][C]4711.54[/C][C]4701.04384669712[/C][C]-26.2575725887026[/C][C]10.4961533028767[/C][C]0.181431462760696[/C][/ROW]
[ROW][C]11[/C][C]4727.22[/C][C]4716.67296336093[/C][C]-21.0373994941140[/C][C]10.5470366390665[/C][C]0.156452449748119[/C][/ROW]
[ROW][C]12[/C][C]4384.96[/C][C]4374.75299305129[/C][C]-62.0106907111784[/C][C]10.2070069487136[/C][C]-1.19624486917932[/C][/ROW]
[ROW][C]13[/C][C]4378.75[/C][C]4436.73343869824[/C][C]-47.7041255128459[/C][C]-57.983438698239[/C][C]0.54484929709266[/C][/ROW]
[ROW][C]14[/C][C]4472.93[/C][C]4465.89583591745[/C][C]-37.4123459112682[/C][C]7.03416408255052[/C][C]0.242844075962779[/C][/ROW]
[ROW][C]15[/C][C]4564.07[/C][C]4557.04150936607[/C][C]-20.3317398518579[/C][C]7.02849063393283[/C][C]0.477273329575311[/C][/ROW]
[ROW][C]16[/C][C]4310.54[/C][C]4303.50260130892[/C][C]-51.5562773248639[/C][C]7.0373986910815[/C][C]-0.865276390319022[/C][/ROW]
[ROW][C]17[/C][C]4171.38[/C][C]4164.33970554415[/C][C]-63.3536491347295[/C][C]7.04029445584965[/C][C]-0.324906830983984[/C][/ROW]
[ROW][C]18[/C][C]4049.38[/C][C]4042.33802915334[/C][C]-71.2852190313923[/C][C]7.04197084666357[/C][C]-0.217436545685577[/C][/ROW]
[ROW][C]19[/C][C]3591.37[/C][C]3584.31847453474[/C][C]-123.754103295220[/C][C]7.05152546526229[/C][C]-1.43345909869020[/C][/ROW]
[ROW][C]20[/C][C]3720.46[/C][C]3713.41387187157[/C][C]-89.3681082060259[/C][C]7.04612812843154[/C][C]0.937033817508478[/C][/ROW]
[ROW][C]21[/C][C]4107.23[/C][C]4100.19265105717[/C][C]-24.5004804807337[/C][C]7.03734894282743[/C][C]1.76431044845353[/C][/ROW]
[ROW][C]22[/C][C]4101.71[/C][C]4094.67295328399[/C][C]-21.9112363000397[/C][C]7.03704671600866[/C][C]0.0703241064200002[/C][/ROW]
[ROW][C]23[/C][C]4162.34[/C][C]4155.30408812257[/C][C]-10.6402515458678[/C][C]7.03591187743475[/C][C]0.305797827925542[/C][/ROW]
[ROW][C]24[/C][C]4136.22[/C][C]4129.18390437811[/C][C]-12.7555488039746[/C][C]7.03609562189286[/C][C]-0.0573458877171195[/C][/ROW]
[ROW][C]25[/C][C]4125.88[/C][C]4188.23893747785[/C][C]-3.11678906716208[/C][C]-62.3589374778513[/C][C]0.289731068152174[/C][/ROW]
[ROW][C]26[/C][C]4031.48[/C][C]4028.10070478333[/C][C]-24.3810111134591[/C][C]3.37929521666738[/C][C]-0.529160684893247[/C][/ROW]
[ROW][C]27[/C][C]3761.36[/C][C]3757.92118652420[/C][C]-58.0148360519227[/C][C]3.43881347580425[/C][C]-0.9102431428449[/C][/ROW]
[ROW][C]28[/C][C]3408.56[/C][C]3405.05956319205[/C][C]-98.3669595349494[/C][C]3.50043680794973[/C][C]-1.09190368296418[/C][/ROW]
[ROW][C]29[/C][C]3228.47[/C][C]3224.95481818324[/C][C]-109.554868427549[/C][C]3.51518181676425[/C][C]-0.302705118195113[/C][/ROW]
[ROW][C]30[/C][C]3090.45[/C][C]3086.93038547113[/C][C]-113.452045168433[/C][C]3.51961452886704[/C][C]-0.105435258230845[/C][/ROW]
[ROW][C]31[/C][C]2741.14[/C][C]2737.58868550287[/C][C]-145.745286927794[/C][C]3.55131449712617[/C][C]-0.87361740661691[/C][/ROW]
[ROW][C]32[/C][C]2980.44[/C][C]2976.93335069631[/C][C]-93.0233982195095[/C][C]3.50664930369296[/C][C]1.42620229767075[/C][/ROW]
[ROW][C]33[/C][C]3104.33[/C][C]3100.84506724284[/C][C]-63.3218588624774[/C][C]3.48493275716462[/C][C]0.803442188384188[/C][/ROW]
[ROW][C]34[/C][C]3181.57[/C][C]3178.09721279508[/C][C]-44.0745472717793[/C][C]3.47278720492115[/C][C]0.520636908689185[/C][/ROW]
[ROW][C]35[/C][C]2863.86[/C][C]2860.36680639736[/C][C]-81.5444359146892[/C][C]3.49319360264471[/C][C]-1.01353612875065[/C][/ROW]
[ROW][C]36[/C][C]2898.01[/C][C]2894.524252856[/C][C]-65.7017773773218[/C][C]3.48574714399963[/C][C]0.428527702181873[/C][/ROW]
[ROW][C]37[/C][C]3112.33[/C][C]3111.68071084429[/C][C]-27.2929400636639[/C][C]0.64928915571192[/C][C]1.11018305782392[/C][/ROW]
[ROW][C]38[/C][C]3254.33[/C][C]3252.58198045968[/C][C]-4.4912995017168[/C][C]1.74801954032212[/C][C]0.582396729051283[/C][/ROW]
[ROW][C]39[/C][C]3513.47[/C][C]3511.77645591089[/C][C]31.6219920270312[/C][C]1.69354408910864[/C][C]0.97645256497049[/C][/ROW]
[ROW][C]40[/C][C]3587.61[/C][C]3585.9240369021[/C][C]37.4458089755348[/C][C]1.68596309789715[/C][C]0.157481621939537[/C][/ROW]
[ROW][C]41[/C][C]3727.45[/C][C]3725.77979330157[/C][C]51.470194610832[/C][C]1.67020669843369[/C][C]0.379257671785835[/C][/ROW]
[ROW][C]42[/C][C]3793.34[/C][C]3791.67170831907[/C][C]53.445109342064[/C][C]1.66829168092609[/C][C]0.0534096839371694[/C][/ROW]
[ROW][C]43[/C][C]3817.58[/C][C]3815.90836093006[/C][C]49.4453560447877[/C][C]1.67163906993779[/C][C]-0.108173430408701[/C][/ROW]
[ROW][C]44[/C][C]3845.13[/C][C]3843.4561950466[/C][C]46.4467768814015[/C][C]1.67380495339840[/C][C]-0.0810988394344724[/C][/ROW]
[ROW][C]45[/C][C]3931.86[/C][C]3930.18963414255[/C][C]51.963480196427[/C][C]1.67036585745173[/C][C]0.149206410047856[/C][/ROW]
[ROW][C]46[/C][C]4197.52[/C][C]4195.86537960764[/C][C]81.2283664072787[/C][C]1.65462039235670[/C][C]0.791518731463537[/C][/ROW]
[ROW][C]47[/C][C]4307.13[/C][C]4305.47718442853[/C][C]85.1150777748934[/C][C]1.65281557146737[/C][C]0.105123906839561[/C][/ROW]
[ROW][C]48[/C][C]4229.43[/C][C]4227.76824868805[/C][C]62.818604263389[/C][C]1.66175131195165[/C][C]-0.603057870740139[/C][/ROW]
[ROW][C]49[/C][C]4362.28[/C][C]4372.18265897977[/C][C]73.9279075564652[/C][C]-9.90265897977322[/C][C]0.315786596542491[/C][/ROW]
[ROW][C]50[/C][C]4217.34[/C][C]4218.37893707788[/C][C]43.0006322761441[/C][C]-1.03893707788023[/C][C]-0.800393009891683[/C][/ROW]
[ROW][C]51[/C][C]4361.28[/C][C]4362.33587906628[/C][C]56.8272562125938[/C][C]-1.05587906628336[/C][C]0.373865937961279[/C][/ROW]
[ROW][C]52[/C][C]4327.74[/C][C]4328.78278946027[/C][C]44.4496948531407[/C][C]-1.04278946026654[/C][C]-0.334710182348936[/C][/ROW]
[ROW][C]53[/C][C]4417.65[/C][C]4418.69847246062[/C][C]50.676034628179[/C][C]-1.04847246062223[/C][C]0.168380595553360[/C][/ROW]
[ROW][C]54[/C][C]4557.68[/C][C]4558.73811278851[/C][C]62.9136494584889[/C][C]-1.05811278851137[/C][C]0.330959548503073[/C][/ROW]
[ROW][C]55[/C][C]4650.35[/C][C]4651.41088350667[/C][C]66.9888554396978[/C][C]-1.06088350666693[/C][C]0.110215274502267[/C][/ROW]
[ROW][C]56[/C][C]4967.18[/C][C]4968.26096115749[/C][C]101.204453736285[/C][C]-1.08096115748658[/C][C]0.92539436899065[/C][/ROW]
[ROW][C]57[/C][C]5123.42[/C][C]5124.50477822304[/C][C]108.741413871920[/C][C]-1.08477822303992[/C][C]0.203848137453370[/C][/ROW]
[ROW][C]58[/C][C]5290.85[/C][C]5291.93829122378[/C][C]116.778547518771[/C][C]-1.08829122377515[/C][C]0.217378977263251[/C][/ROW]
[ROW][C]59[/C][C]5535.66[/C][C]5536.75490546699[/C][C]134.311707600534[/C][C]-1.09490546698773[/C][C]0.474221112831057[/C][/ROW]
[ROW][C]60[/C][C]5514.06[/C][C]5515.14795391804[/C][C]112.960656443390[/C][C]-1.08795391804169[/C][C]-0.577488284858046[/C][/ROW]
[ROW][C]61[/C][C]5493.88[/C][C]5492.96246396063[/C][C]94.5375324987235[/C][C]0.91753603936832[/C][C]-0.518577928452614[/C][/ROW]
[ROW][C]62[/C][C]5694.83[/C][C]5694.16102348844[/C][C]109.042743155212[/C][C]0.66897651155731[/C][C]0.378444331402451[/C][/ROW]
[ROW][C]63[/C][C]5850.41[/C][C]5849.74752593441[/C][C]115.417098603227[/C][C]0.662474065587506[/C][C]0.172368407652804[/C][/ROW]
[ROW][C]64[/C][C]6116.64[/C][C]6115.99571780659[/C][C]136.073161637524[/C][C]0.644282193408487[/C][C]0.558595597647032[/C][/ROW]
[ROW][C]65[/C][C]6175[/C][C]6174.34762749772[/C][C]125.429674930768[/C][C]0.652372502275441[/C][C]-0.287842657372996[/C][/ROW]
[ROW][C]66[/C][C]6513.58[/C][C]6512.94677845454[/C][C]154.621460576209[/C][C]0.633221545458092[/C][C]0.789492014875746[/C][/ROW]
[ROW][C]67[/C][C]6383.78[/C][C]6383.12472368476[/C][C]115.669790054040[/C][C]0.655276315244423[/C][C]-1.05347679181640[/C][/ROW]
[ROW][C]68[/C][C]6673.66[/C][C]6673.01638240153[/C][C]139.527523588693[/C][C]0.64361759846787[/C][C]0.645263145153977[/C][/ROW]
[ROW][C]69[/C][C]6936.61[/C][C]6935.97351108528[/C][C]156.429744271382[/C][C]0.636488914719063[/C][C]0.457149231481348[/C][/ROW]
[ROW][C]70[/C][C]7300.68[/C][C]7300.05386168012[/C][C]184.864961277996[/C][C]0.626138319881116[/C][C]0.769087320776314[/C][/ROW]
[ROW][C]71[/C][C]7392.93[/C][C]7392.29987717766[/C][C]172.181938433169[/C][C]0.630122822339113[/C][C]-0.343040591962557[/C][/ROW]
[ROW][C]72[/C][C]7497.31[/C][C]7496.67735964767[/C][C]162.896952975821[/C][C]0.632640352333754[/C][C]-0.251134670148619[/C][/ROW]
[ROW][C]73[/C][C]7584.71[/C][C]7595.98851243948[/C][C]154.222183930943[/C][C]-11.2785124394809[/C][C]-0.242587193683522[/C][/ROW]
[ROW][C]74[/C][C]7160.79[/C][C]7163.2985799774[/C][C]74.3251537458699[/C][C]-2.50857997740033[/C][C]-2.09615699538332[/C][/ROW]
[ROW][C]75[/C][C]7196.19[/C][C]7198.69391742458[/C][C]68.9936342680549[/C][C]-2.50391742457799[/C][C]-0.144174533300344[/C][/ROW]
[ROW][C]76[/C][C]7245.63[/C][C]7248.13190073559[/C][C]66.3155428998391[/C][C]-2.50190073558575[/C][C]-0.0724248136395152[/C][/ROW]
[ROW][C]77[/C][C]7347.51[/C][C]7350.01506636859[/C][C]71.1863083849607[/C][C]-2.50506636859111[/C][C]0.131727794391126[/C][/ROW]
[ROW][C]78[/C][C]7425.75[/C][C]7428.25560823944[/C][C]72.1523257701151[/C][C]-2.50560823943748[/C][C]0.0261263476820294[/C][/ROW]
[ROW][C]79[/C][C]7778.51[/C][C]7781.03421262287[/C][C]110.581288348258[/C][C]-2.52421262287331[/C][C]1.03935167459402[/C][/ROW]
[ROW][C]80[/C][C]7822.33[/C][C]7824.85039249436[/C][C]101.438538125693[/C][C]-2.52039249436380[/C][C]-0.247279570629184[/C][/ROW]
[ROW][C]81[/C][C]8181.22[/C][C]8183.75310663398[/C][C]136.695291393995[/C][C]-2.53310663397975[/C][C]0.953584763074233[/C][/ROW]
[ROW][C]82[/C][C]8371.47[/C][C]8374.0053892257[/C][C]144.029288724178[/C][C]-2.53538922570406[/C][C]0.198363566572881[/C][/ROW]
[ROW][C]83[/C][C]8347.71[/C][C]8350.23921710754[/C][C]121.051700658928[/C][C]-2.52921710754449[/C][C]-0.621482221174525[/C][/ROW]
[ROW][C]84[/C][C]8672.11[/C][C]8674.64567291107[/C][C]148.898712863899[/C][C]-2.53567291106812[/C][C]0.753191119910407[/C][/ROW]
[ROW][C]85[/C][C]8802.79[/C][C]8777.56885015513[/C][C]142.623015852787[/C][C]25.221149844873[/C][C]-0.174676268283618[/C][/ROW]
[ROW][C]86[/C][C]9138.46[/C][C]9139.60046868351[/C][C]172.514008884709[/C][C]-1.14046868350967[/C][C]0.78741058187347[/C][/ROW]
[ROW][C]87[/C][C]9123.29[/C][C]9124.41088022865[/C][C]146.807886384767[/C][C]-1.12088022865161[/C][C]-0.695162404777605[/C][/ROW]
[ROW][C]88[/C][C]9023.21[/C][C]9024.30864954734[/C][C]112.994450835427[/C][C]-1.09864954733887[/C][C]-0.91445080278711[/C][/ROW]
[ROW][C]89[/C][C]8850.41[/C][C]8851.4864399484[/C][C]73.8537513436139[/C][C]-1.07643994839492[/C][C]-1.05856010987136[/C][/ROW]
[ROW][C]90[/C][C]8864.58[/C][C]8865.6524370118[/C][C]65.6800280022417[/C][C]-1.07243701180828[/C][C]-0.221064351685476[/C][/ROW]
[ROW][C]91[/C][C]9163.74[/C][C]9164.82595179866[/C][C]97.6546400260065[/C][C]-1.08595179865886[/C][C]0.864794429344212[/C][/ROW]
[ROW][C]92[/C][C]8516.66[/C][C]8517.70874699143[/C][C]-4.33384005982002[/C][C]-1.0487469914273[/C][C]-2.75845109364271[/C][/ROW]
[ROW][C]93[/C][C]8553.44[/C][C]8554.49051964635[/C][C]1.29647987327590[/C][C]-1.05051964635045[/C][C]0.152283249500874[/C][/ROW]
[ROW][C]94[/C][C]7555.2[/C][C]7556.21332555107[/C][C]-135.583616982515[/C][C]-1.01332555107067[/C][C]-3.70222671546491[/C][/ROW]
[ROW][C]95[/C][C]7851.22[/C][C]7852.24718672509[/C][C]-76.478617885217[/C][C]-1.02718672508902[/C][C]1.59863617553322[/C][/ROW]
[ROW][C]96[/C][C]7442[/C][C]7443.01796394945[/C][C]-122.044951144962[/C][C]-1.01796394944658[/C][C]-1.23245629015078[/C][/ROW]
[ROW][C]97[/C][C]7992.53[/C][C]7949.43349181159[/C][C]-36.2246524676038[/C][C]43.0965081884122[/C][C]2.38027621180336[/C][/ROW]
[ROW][C]98[/C][C]8264.04[/C][C]8266.31332300849[/C][C]11.9085426029695[/C][C]-2.27332300849068[/C][C]1.27191057413278[/C][/ROW]
[ROW][C]99[/C][C]7517.39[/C][C]7519.59311124382[/C][C]-91.9852621817703[/C][C]-2.20311124382117[/C][C]-2.80962772561542[/C][/ROW]
[ROW][C]100[/C][C]7200.4[/C][C]7202.58513439162[/C][C]-122.80114939434[/C][C]-2.18513439162517[/C][C]-0.833398554455185[/C][/ROW]
[ROW][C]101[/C][C]7193.69[/C][C]7195.88313928954[/C][C]-106.902176930406[/C][C]-2.19313928953686[/C][C]0.429992843692330[/C][/ROW]
[ROW][C]102[/C][C]6193.58[/C][C]6195.71998412694[/C][C]-229.226474643052[/C][C]-2.13998412693853[/C][C]-3.30838015469042[/C][/ROW]
[ROW][C]103[/C][C]5104.21[/C][C]5106.30580661488[/C][C]-347.020669364046[/C][C]-2.0958066148797[/C][C]-3.18591649669571[/C][/ROW]
[ROW][C]104[/C][C]4800.46[/C][C]4802.55772467492[/C][C]-341.094948687163[/C][C]-2.09772467491556[/C][C]0.160271944492674[/C][/ROW]
[ROW][C]105[/C][C]4461.61[/C][C]4463.70781055924[/C][C]-340.787516058197[/C][C]-2.09781055923776[/C][C]0.0083151603860756[/C][/ROW]
[ROW][C]106[/C][C]4398.59[/C][C]4400.69698180428[/C][C]-302.749137257229[/C][C]-2.10698180428214[/C][C]1.02883541325194[/C][/ROW]
[ROW][C]107[/C][C]4243.63[/C][C]4245.74119322935[/C][C]-282.510520532841[/C][C]-2.11119322934705[/C][C]0.547402958611653[/C][/ROW]
[ROW][C]108[/C][C]4293.82[/C][C]4295.93937561659[/C][C]-236.949847608641[/C][C]-2.11937561659008[/C][C]1.23230507978733[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=62998&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62998&T=1

As an alternative you can also use a QR Code:  

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

Structural Time Series Model
tObservedLevelSlopeSeasonalStand. Residuals
14716.994716.99000
24926.654915.8238934648212.291776647980710.82610653517720.474143182426502
34920.14909.3268332928211.478358355738010.7731667071821-0.0734824681006915
45170.095158.6875485341526.014198440962511.40245146585320.921510114350787
55246.245234.7153717612529.842533826946611.52462823875400.192107471638571
65283.615272.068666527230.514930258978211.54133347279690.0286401383000769
74979.054968.1779507151-2.9770307555556010.8720492848993-1.26741586773592
84825.24814.5966152821-19.343967019337610.6033847178987-0.56796472904498
94695.124684.69108854291-32.101694909912510.4289114570866-0.415292614347238
104711.544701.04384669712-26.257572588702610.49615330287670.181431462760696
114727.224716.67296336093-21.037399494114010.54703663906650.156452449748119
124384.964374.75299305129-62.010690711178410.2070069487136-1.19624486917932
134378.754436.73343869824-47.7041255128459-57.9834386982390.54484929709266
144472.934465.89583591745-37.41234591126827.034164082550520.242844075962779
154564.074557.04150936607-20.33173985185797.028490633932830.477273329575311
164310.544303.50260130892-51.55627732486397.0373986910815-0.865276390319022
174171.384164.33970554415-63.35364913472957.04029445584965-0.324906830983984
184049.384042.33802915334-71.28521903139237.04197084666357-0.217436545685577
193591.373584.31847453474-123.7541032952207.05152546526229-1.43345909869020
203720.463713.41387187157-89.36810820602597.046128128431540.937033817508478
214107.234100.19265105717-24.50048048073377.037348942827431.76431044845353
224101.714094.67295328399-21.91123630003977.037046716008660.0703241064200002
234162.344155.30408812257-10.64025154586787.035911877434750.305797827925542
244136.224129.18390437811-12.75554880397467.03609562189286-0.0573458877171195
254125.884188.23893747785-3.11678906716208-62.35893747785130.289731068152174
264031.484028.10070478333-24.38101111345913.37929521666738-0.529160684893247
273761.363757.92118652420-58.01483605192273.43881347580425-0.9102431428449
283408.563405.05956319205-98.36695953494943.50043680794973-1.09190368296418
293228.473224.95481818324-109.5548684275493.51518181676425-0.302705118195113
303090.453086.93038547113-113.4520451684333.51961452886704-0.105435258230845
312741.142737.58868550287-145.7452869277943.55131449712617-0.87361740661691
322980.442976.93335069631-93.02339821950953.506649303692961.42620229767075
333104.333100.84506724284-63.32185886247743.484932757164620.803442188384188
343181.573178.09721279508-44.07454727177933.472787204921150.520636908689185
352863.862860.36680639736-81.54443591468923.49319360264471-1.01353612875065
362898.012894.524252856-65.70177737732183.485747143999630.428527702181873
373112.333111.68071084429-27.29294006366390.649289155711921.11018305782392
383254.333252.58198045968-4.49129950171681.748019540322120.582396729051283
393513.473511.7764559108931.62199202703121.693544089108640.97645256497049
403587.613585.924036902137.44580897553481.685963097897150.157481621939537
413727.453725.7797933015751.4701946108321.670206698433690.379257671785835
423793.343791.6717083190753.4451093420641.668291680926090.0534096839371694
433817.583815.9083609300649.44535604478771.67163906993779-0.108173430408701
443845.133843.456195046646.44677688140151.67380495339840-0.0810988394344724
453931.863930.1896341425551.9634801964271.670365857451730.149206410047856
464197.524195.8653796076481.22836640727871.654620392356700.791518731463537
474307.134305.4771844285385.11507777489341.652815571467370.105123906839561
484229.434227.7682486880562.8186042633891.66175131195165-0.603057870740139
494362.284372.1826589797773.9279075564652-9.902658979773220.315786596542491
504217.344218.3789370778843.0006322761441-1.03893707788023-0.800393009891683
514361.284362.3358790662856.8272562125938-1.055879066283360.373865937961279
524327.744328.7827894602744.4496948531407-1.04278946026654-0.334710182348936
534417.654418.6984724606250.676034628179-1.048472460622230.168380595553360
544557.684558.7381127885162.9136494584889-1.058112788511370.330959548503073
554650.354651.4108835066766.9888554396978-1.060883506666930.110215274502267
564967.184968.26096115749101.204453736285-1.080961157486580.92539436899065
575123.425124.50477822304108.741413871920-1.084778223039920.203848137453370
585290.855291.93829122378116.778547518771-1.088291223775150.217378977263251
595535.665536.75490546699134.311707600534-1.094905466987730.474221112831057
605514.065515.14795391804112.960656443390-1.08795391804169-0.577488284858046
615493.885492.9624639606394.53753249872350.91753603936832-0.518577928452614
625694.835694.16102348844109.0427431552120.668976511557310.378444331402451
635850.415849.74752593441115.4170986032270.6624740655875060.172368407652804
646116.646115.99571780659136.0731616375240.6442821934084870.558595597647032
6561756174.34762749772125.4296749307680.652372502275441-0.287842657372996
666513.586512.94677845454154.6214605762090.6332215454580920.789492014875746
676383.786383.12472368476115.6697900540400.655276315244423-1.05347679181640
686673.666673.01638240153139.5275235886930.643617598467870.645263145153977
696936.616935.97351108528156.4297442713820.6364889147190630.457149231481348
707300.687300.05386168012184.8649612779960.6261383198811160.769087320776314
717392.937392.29987717766172.1819384331690.630122822339113-0.343040591962557
727497.317496.67735964767162.8969529758210.632640352333754-0.251134670148619
737584.717595.98851243948154.222183930943-11.2785124394809-0.242587193683522
747160.797163.298579977474.3251537458699-2.50857997740033-2.09615699538332
757196.197198.6939174245868.9936342680549-2.50391742457799-0.144174533300344
767245.637248.1319007355966.3155428998391-2.50190073558575-0.0724248136395152
777347.517350.0150663685971.1863083849607-2.505066368591110.131727794391126
787425.757428.2556082394472.1523257701151-2.505608239437480.0261263476820294
797778.517781.03421262287110.581288348258-2.524212622873311.03935167459402
807822.337824.85039249436101.438538125693-2.52039249436380-0.247279570629184
818181.228183.75310663398136.695291393995-2.533106633979750.953584763074233
828371.478374.0053892257144.029288724178-2.535389225704060.198363566572881
838347.718350.23921710754121.051700658928-2.52921710754449-0.621482221174525
848672.118674.64567291107148.898712863899-2.535672911068120.753191119910407
858802.798777.56885015513142.62301585278725.221149844873-0.174676268283618
869138.469139.60046868351172.514008884709-1.140468683509670.78741058187347
879123.299124.41088022865146.807886384767-1.12088022865161-0.695162404777605
889023.219024.30864954734112.994450835427-1.09864954733887-0.91445080278711
898850.418851.486439948473.8537513436139-1.07643994839492-1.05856010987136
908864.588865.652437011865.6800280022417-1.07243701180828-0.221064351685476
919163.749164.8259517986697.6546400260065-1.085951798658860.864794429344212
928516.668517.70874699143-4.33384005982002-1.0487469914273-2.75845109364271
938553.448554.490519646351.29647987327590-1.050519646350450.152283249500874
947555.27556.21332555107-135.583616982515-1.01332555107067-3.70222671546491
957851.227852.24718672509-76.478617885217-1.027186725089021.59863617553322
9674427443.01796394945-122.044951144962-1.01796394944658-1.23245629015078
977992.537949.43349181159-36.224652467603843.09650818841222.38027621180336
988264.048266.3133230084911.9085426029695-2.273323008490681.27191057413278
997517.397519.59311124382-91.9852621817703-2.20311124382117-2.80962772561542
1007200.47202.58513439162-122.80114939434-2.18513439162517-0.833398554455185
1017193.697195.88313928954-106.902176930406-2.193139289536860.429992843692330
1026193.586195.71998412694-229.226474643052-2.13998412693853-3.30838015469042
1035104.215106.30580661488-347.020669364046-2.0958066148797-3.18591649669571
1044800.464802.55772467492-341.094948687163-2.097724674915560.160271944492674
1054461.614463.70781055924-340.787516058197-2.097810559237760.0083151603860756
1064398.594400.69698180428-302.749137257229-2.106981804282141.02883541325194
1074243.634245.74119322935-282.510520532841-2.111193229347050.547402958611653
1084293.824295.93937561659-236.949847608641-2.119375616590081.23230507978733



Parameters (Session):
par1 = FALSE ; par2 = 0.2 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = 2 ; par7 = 0 ; par8 = 0 ; par9 = 0 ;
Parameters (R input):
par1 = 12 ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
nx <- length(x)
x <- ts(x,frequency=par1)
m <- StructTS(x,type='BSM')
m$coef
m$fitted
m$resid
mylevel <- as.numeric(m$fitted[,'level'])
myslope <- as.numeric(m$fitted[,'slope'])
myseas <- as.numeric(m$fitted[,'sea'])
myresid <- as.numeric(m$resid)
myfit <- mylevel+myseas
mylagmax <- nx/2
bitmap(file='test2.png')
op <- par(mfrow = c(2,2))
acf(as.numeric(x),lag.max = mylagmax,main='Observed')
acf(mylevel,na.action=na.pass,lag.max = mylagmax,main='Level')
acf(myseas,na.action=na.pass,lag.max = mylagmax,main='Seasonal')
acf(myresid,na.action=na.pass,lag.max = mylagmax,main='Standardized Residals')
par(op)
dev.off()
bitmap(file='test3.png')
op <- par(mfrow = c(2,2))
spectrum(as.numeric(x),main='Observed')
spectrum(mylevel,main='Level')
spectrum(myseas,main='Seasonal')
spectrum(myresid,main='Standardized Residals')
par(op)
dev.off()
bitmap(file='test4.png')
op <- par(mfrow = c(2,2))
cpgram(as.numeric(x),main='Observed')
cpgram(mylevel,main='Level')
cpgram(myseas,main='Seasonal')
cpgram(myresid,main='Standardized Residals')
par(op)
dev.off()
bitmap(file='test1.png')
plot(as.numeric(m$resid),main='Standardized Residuals',ylab='Residuals',xlab='time',type='b')
grid()
dev.off()
bitmap(file='test5.png')
op <- par(mfrow = c(2,2))
hist(m$resid,main='Residual Histogram')
plot(density(m$resid),main='Residual Kernel Density')
qqnorm(m$resid,main='Residual Normal QQ Plot')
qqline(m$resid)
plot(m$resid^2, myfit^2,main='Sq.Resid vs. Sq.Fit',xlab='Squared residuals',ylab='Squared Fit')
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Structural Time Series Model',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,'Level',header=TRUE)
a<-table.element(a,'Slope',header=TRUE)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,'Stand. Residuals',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,mylevel[i])
a<-table.element(a,myslope[i])
a<-table.element(a,myseas[i])
a<-table.element(a,myresid[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')