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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 computationMon, 19 Dec 2011 11:18:52 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/19/t1324311541g1i6pxb4oielvfs.htm/, Retrieved Wed, 15 May 2024 20:03:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=157497, Retrieved Wed, 15 May 2024 20:03:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact82
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Structural Time Series Models] [] [2011-12-19 16:18:52] [3627de22d386f4cb93d383ef7c1ade7f] [Current]
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Dataseries X:
0.8564
0.8973
0.9383
0.9217
0.9095
0.892
0.8742
0.8532
0.8607
0.9005
0.9111
0.9059
0.8883
0.8924
0.8833
0.87
0.8758
0.8858
0.917
0.9554
0.9922
0.9778
0.9808
0.9811
1.0014
1.0183
1.0622
1.0773
1.0807
1.0848
1.1582
1.1663
1.1372
1.1139
1.1222
1.1692
1.1702
1.2286
1.2613
1.2646
1.2262
1.1985
1.2007
1.2138
1.2266
1.2176
1.2218
1.249
1.2991
1.3408
1.3119
1.3014
1.3201
1.2938
1.2694
1.2165
1.2037
1.2292
1.2256
1.2015
1.1786
1.1856
1.2103
1.1938
1.202
1.2271
1.277
1.265
1.2684
1.2811
1.2727
1.2611
1.2881
1.3213
1.2999
1.3074
1.3242
1.3516
1.3511
1.3419
1.3716
1.3622
1.3896
1.4227
1.4684
1.457
1.4718
1.4748
1.5527
1.575
1.5557
1.5553
1.577
1.4975
1.437
1.3322
1.2732
1.3449
1.3239
1.2785
1.305
1.319
1.365
1.4016
1.4088
1.4268
1.4562
1.4816
1.4914
1.4614
1.4272
1.3686
1.3569
1.3406
1.2565
1.2208
1.277
1.2894
1.3067
1.3898
1.3661
1.322
1.336
1.3649
1.3999
1.4442
1.4349
1.4388
1.4264
1.4343
1.377
1.3706




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157497&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157497&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157497&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'AstonUniversity' @ aston.wessa.net







Structural Time Series Model
tObservedLevelSlopeSeasonalStand. Residuals
10.85640.8564000
20.89730.8951731999809030.002126799977082840.002126800019097140.72414635561514
30.93830.9360183267280030.002281673271996840.002281673271996841.20674072154112
40.92170.9194932540011690.002206745998831120.00220674599883112-0.586148422019701
50.90950.907350197659940.002149802340061080.00214980234006108-0.447235676661665
60.8920.889927559084710.002072440915290540.00207244091529054-0.610003209236817
70.87420.8722054902237830.001994509776217410.00199450977621741-0.616919522784018
80.85320.8512953125255620.001904687474437490.00190468747443749-0.713846433803062
90.86070.8587735408819850.001926459118014870.001926459118014870.173703392891896
100.90050.8984267442151970.002073255784802610.002073255784802611.17577209935534
110.91110.9089938224235970.002106177576402620.002106177576402620.264712066028805
120.90590.9038219231059570.002078076894042820.00207807689404282-0.226821366752528
130.88830.9094887136856790.00192624670227177-0.02118871368567880.135127939844674
140.89240.8909687273808650.001431272724744370.00143127261913468-0.542142413418703
150.88330.8818878402929170.001412159707083380.00141215970708338-0.327278096405062
160.870.8686144927557860.001385507244213920.00138550724421392-0.457207370307121
170.87580.874406509948020.001393490051980540.001393490051980540.137188691277949
180.88580.884390974731720.001409025268279480.001409025268279480.267463971976341
190.9170.9155372973005090.001462702699491370.001462702699491370.925813768846969
200.95540.9538708633134690.001529136686531220.001529136686531231.14790181399221
210.99220.9906075403999480.001592459600051570.001592459600051571.09611575352359
220.97780.976236200721420.001563799278579150.00156379927857915-0.496999889124207
230.98080.9792336314893960.001566368510603910.001566368510603910.0446330810515254
240.98110.9795358928617060.001564107138294320.00156410713829433-0.0393552363347695
251.00141.01194126277150.000958296628057115-0.01054126277150041.0578941735636
261.01831.01727376482530.001026235301585080.001026235174698680.123676523168606
271.06221.061123384243590.001076615756408910.001076615756408911.33280567323357
281.07731.076206924872510.001093075127487160.001093075127487160.435941634369351
291.08071.079604220388510.001095779611494850.001095779611494850.0717148781302742
301.08481.083700702566060.001099297433942580.001099297433942580.0933916182780413
311.15821.157016140341340.001183859658655780.001183859658655772.24759950045959
321.16631.165108060738190.001191939261809590.001191939261809590.215001011840203
331.13721.136043407224860.001156592775135780.00115659277513578-0.94168159039894
341.11391.112771911412080.001128088587923570.00112808858792357-0.760279447936192
351.12221.121063562271950.001136437728050460.001136437728050460.222952583893602
361.16921.16801023254870.001189767451302570.001189767451302581.42575752215503
371.17021.181549847012190.0010318042937108-0.01134984701219470.410277203845241
381.22861.227059652300820.001540347832595610.001540347699177211.2924053623207
391.26131.259732580355130.001567419644869460.001567419644869460.968800576506358
401.26461.263031076379130.001568923620874260.001568923620874260.0538685566878147
411.22621.224665741534090.001534258465908010.00153425846590801-1.24269505459727
421.19851.196991074513730.001508925486266540.00150892548626655-0.908938214816675
431.20071.199190476180820.001509523819179690.001509523819179690.0214865812789852
441.21381.212280449817330.001519550182671720.001519550182671730.360366063157753
451.22661.225070700076760.001529299923235990.001529299923235990.35072698902836
461.21761.216079792736470.001520207263531570.00152020726353157-0.327372675540216
471.22181.220277480577070.001522519422927730.001522519422927730.0833190479461152
481.2491.247455344817920.001544655182076290.00154465518207630.798354291570638
491.29911.30975394219090.000968540218705083-0.01065394219089611.98586885734202
501.34081.339570482912690.001229517254057080.00122951708730860.851036225178558
511.31191.3106912474070.001208752592995190.00120875259299519-0.936856343219744
521.30141.300199311286270.001200688713728750.00120068871372875-0.364075587413775
531.32011.318887267713360.001212732286638880.001212732286638880.544129145802
541.29381.292606189812760.001193810187240190.0011938101872402-0.85548984290767
551.26941.268223780060460.001176219939536090.00117621993953609-0.795822443468145
561.21651.215360920321730.001139079678266350.00113907967826635-1.68146435935144
571.20371.202570487294830.001129512705171540.00112951270517154-0.433426582615905
581.22921.228053772282820.00114622771717840.00114622771717840.757784570902433
591.22561.224457025351880.001142974648118580.00114297464811857-0.147580921813975
601.20151.200374315060690.001125684939305870.00112568493930588-0.784914370934504
611.17861.19178747626620.00119886148740016-0.013187476266196-0.314377988968923
621.18561.184464914384360.001135085723677860.00113508561564345-0.253821154716346
631.21031.209151456297870.001148543702126680.001148543702126680.732777869098801
641.19381.192661529667730.00113847033227290.0011384703322729-0.548801675062196
651.2021.200857501413430.001142498586568610.001142498586568610.21958638666342
661.22711.225943842632480.001156157367523790.001156157367523790.744986181798769
671.2771.275816068362730.001183931637272590.001183931637272581.51574634115785
681.2651.263823576296580.001176423703418810.00117642370341882-0.409969717323959
691.26841.267222310743750.001177689256254310.001177689256254320.0691447072584668
701.28111.27991575652820.00118424347179870.00118424347179870.35829979550625
711.27271.271521205217020.00117879478298450.0011787947829845-0.298033363963823
721.26111.259928465895980.001171534104015180.00117153410401518-0.397371772037431
731.28811.298421052630640.000938277526514172-0.01032105263063621.20011393809554
741.32131.320228536705060.001071463426932340.001071463294941150.625772924521532
751.29991.298839492921620.001060507078383930.00106050707838394-0.69880497815505
761.30741.30633635476710.001063645232901930.001063645232901930.200251765439138
771.32421.323128689713450.001071310286546270.001071310286546270.489360456830883
781.35161.350515871461110.001084128538894560.001084128538894560.818755127541958
791.35111.350016642326590.001083357673407660.00108335767340766-0.0492623648094707
801.34191.340821643959820.001078356040182270.00107835604018227-0.319786282940045
811.37161.370507729694080.00109227030591970.00109227030591970.89006047507595
821.36221.361112827979090.001087172020910710.00108717202091071-0.326283011897187
831.38961.388500048557730.001099951442274070.001099951442274070.818262351976112
841.42271.421584514553210.001115485446787120.001115485446787130.995120634892204
851.46841.477454195335130.00082310867686102-0.009054195335131221.75243595456416
861.4571.45629914906060.0007008510784428550.000700850939402035-0.66225434177818
871.47181.471093151833380.0007068481666236120.0007068481666236140.438461071737216
881.47481.474092176853830.000707823146174240.0007078231461742360.0713133762874926
891.55271.551959370997810.0007406290021874790.0007406290021874762.40055419438821
901.5751.574250212386240.0007497876137646120.0007497876137646170.670462283360849
911.55571.554958726096730.000741273903266770.000741273903266765-0.62351668788176
921.55531.554559210508420.0007407894915783580.00074078949157836-0.0354918167710036
931.5771.576250318182950.0007496818170531750.0007496818170531740.651798419211888
941.49751.496784351127920.0007156488720785770.000715648872078568-2.49563887138217
951.4371.436310300958670.0006896990413336610.00068969904133365-1.90371055860906
961.33221.331554999985040.0006450000149620880.000645000014962091-3.28056429415322
971.27321.28282644096480.000875131009866309-0.00962644096479668-1.57464386702805
981.34491.343728943458750.00117105661053720.001171056541247261.81554094453341
991.32391.322737306673830.001162693326170250.00116269332617025-0.689501152343949
1001.27851.277354864251160.001145135748841270.00114513574884126-1.44806057212725
1011.3051.30384530719680.00115469280319630.001154692803196290.788514993897263
1021.3191.317840467216520.001159532783482390.001159532783482390.39947829911829
1031.3651.363823578151020.001176421848981510.00117642184898151.39450108685027
1041.40161.400410240959950.0011897590400510.001189759040051011.10164377853381
1051.40881.407607978919610.001192021080391780.001192021080391780.186913501569089
1061.42681.425601655375760.001198344624240540.001198344624240540.522714220212687
1071.45621.454991049262020.001208950737979940.001208950737979940.877048181237614
1081.48161.480381954882260.001218045117742580.001218045117742580.752321697971554
1091.49141.503789140601650.0011262855138273-0.01238914060164770.705717179301887
1101.46141.460470440770310.0009295593329374830.000929559229691206-1.34822027827014
1111.42721.42628234496320.000917655036798380.000917655036798383-1.09252060751144
1121.36861.367702506771370.0008974932286338540.00089749322863384-1.8509844552541
1131.35691.356006772769940.0008932272300586790.000893227230058677-0.391778968187763
1141.34061.339712593090860.000887406909138110.000887406909138117-0.534705205867912
1151.25651.255641353635940.0008586463640583950.00085864636405839-2.64308793825198
1161.22081.219953721243520.0008462787564810120.000846278756481014-1.13696518449986
1171.2771.276135001688660.0008649983113399140.0008649983113399071.72148763006528
1181.28941.288531102093590.0008688979064055290.0008688979064055250.358735843033149
1191.30671.305825549169350.0008744508306459990.0008744508306460.51100344477083
1201.38981.388897770266370.0009022297336328330.0009022297336328372.55719555717072
1211.36611.376565530681190.000951411883174039-0.0104655306811878-0.419988168956341
1221.3221.321274461625590.0007255384725433350.000725538374405942-1.71017215816258
1231.3361.335270378331730.0007296216682661270.000729621668266130.412838923266118
1241.36491.364161715853320.0007382841466779540.0007382841466779430.876105541617736
1251.39991.399151183508520.0007488164914774530.0007488164914774481.06554765399739
1261.44421.443437799616150.0007622003838467630.0007622003838467661.35445241002121
1271.43491.434140890922120.000759109077884820.000759109077884815-0.312936896443109
1281.43881.438039926274980.0007600737250239770.000760073725023980.0976824815768905
1291.42641.425643966825910.0007560331740851750.00075603317408517-0.409281554724578
1301.43431.433541774079690.0007582259203087420.0007582259203087370.22217914947287
1311.3771.376259588817010.0007404111829874410.00074041118298743-1.80562538668426
1321.37061.36986177912730.0007382208726950970.000738220872695102-0.222068589006013

\begin{tabular}{lllllllll}
\hline
Structural Time Series Model \tabularnewline
t & Observed & Level & Slope & Seasonal & Stand. Residuals \tabularnewline
1 & 0.8564 & 0.8564 & 0 & 0 & 0 \tabularnewline
2 & 0.8973 & 0.895173199980903 & 0.00212679997708284 & 0.00212680001909714 & 0.72414635561514 \tabularnewline
3 & 0.9383 & 0.936018326728003 & 0.00228167327199684 & 0.00228167327199684 & 1.20674072154112 \tabularnewline
4 & 0.9217 & 0.919493254001169 & 0.00220674599883112 & 0.00220674599883112 & -0.586148422019701 \tabularnewline
5 & 0.9095 & 0.90735019765994 & 0.00214980234006108 & 0.00214980234006108 & -0.447235676661665 \tabularnewline
6 & 0.892 & 0.88992755908471 & 0.00207244091529054 & 0.00207244091529054 & -0.610003209236817 \tabularnewline
7 & 0.8742 & 0.872205490223783 & 0.00199450977621741 & 0.00199450977621741 & -0.616919522784018 \tabularnewline
8 & 0.8532 & 0.851295312525562 & 0.00190468747443749 & 0.00190468747443749 & -0.713846433803062 \tabularnewline
9 & 0.8607 & 0.858773540881985 & 0.00192645911801487 & 0.00192645911801487 & 0.173703392891896 \tabularnewline
10 & 0.9005 & 0.898426744215197 & 0.00207325578480261 & 0.00207325578480261 & 1.17577209935534 \tabularnewline
11 & 0.9111 & 0.908993822423597 & 0.00210617757640262 & 0.00210617757640262 & 0.264712066028805 \tabularnewline
12 & 0.9059 & 0.903821923105957 & 0.00207807689404282 & 0.00207807689404282 & -0.226821366752528 \tabularnewline
13 & 0.8883 & 0.909488713685679 & 0.00192624670227177 & -0.0211887136856788 & 0.135127939844674 \tabularnewline
14 & 0.8924 & 0.890968727380865 & 0.00143127272474437 & 0.00143127261913468 & -0.542142413418703 \tabularnewline
15 & 0.8833 & 0.881887840292917 & 0.00141215970708338 & 0.00141215970708338 & -0.327278096405062 \tabularnewline
16 & 0.87 & 0.868614492755786 & 0.00138550724421392 & 0.00138550724421392 & -0.457207370307121 \tabularnewline
17 & 0.8758 & 0.87440650994802 & 0.00139349005198054 & 0.00139349005198054 & 0.137188691277949 \tabularnewline
18 & 0.8858 & 0.88439097473172 & 0.00140902526827948 & 0.00140902526827948 & 0.267463971976341 \tabularnewline
19 & 0.917 & 0.915537297300509 & 0.00146270269949137 & 0.00146270269949137 & 0.925813768846969 \tabularnewline
20 & 0.9554 & 0.953870863313469 & 0.00152913668653122 & 0.00152913668653123 & 1.14790181399221 \tabularnewline
21 & 0.9922 & 0.990607540399948 & 0.00159245960005157 & 0.00159245960005157 & 1.09611575352359 \tabularnewline
22 & 0.9778 & 0.97623620072142 & 0.00156379927857915 & 0.00156379927857915 & -0.496999889124207 \tabularnewline
23 & 0.9808 & 0.979233631489396 & 0.00156636851060391 & 0.00156636851060391 & 0.0446330810515254 \tabularnewline
24 & 0.9811 & 0.979535892861706 & 0.00156410713829432 & 0.00156410713829433 & -0.0393552363347695 \tabularnewline
25 & 1.0014 & 1.0119412627715 & 0.000958296628057115 & -0.0105412627715004 & 1.0578941735636 \tabularnewline
26 & 1.0183 & 1.0172737648253 & 0.00102623530158508 & 0.00102623517469868 & 0.123676523168606 \tabularnewline
27 & 1.0622 & 1.06112338424359 & 0.00107661575640891 & 0.00107661575640891 & 1.33280567323357 \tabularnewline
28 & 1.0773 & 1.07620692487251 & 0.00109307512748716 & 0.00109307512748716 & 0.435941634369351 \tabularnewline
29 & 1.0807 & 1.07960422038851 & 0.00109577961149485 & 0.00109577961149485 & 0.0717148781302742 \tabularnewline
30 & 1.0848 & 1.08370070256606 & 0.00109929743394258 & 0.00109929743394258 & 0.0933916182780413 \tabularnewline
31 & 1.1582 & 1.15701614034134 & 0.00118385965865578 & 0.00118385965865577 & 2.24759950045959 \tabularnewline
32 & 1.1663 & 1.16510806073819 & 0.00119193926180959 & 0.00119193926180959 & 0.215001011840203 \tabularnewline
33 & 1.1372 & 1.13604340722486 & 0.00115659277513578 & 0.00115659277513578 & -0.94168159039894 \tabularnewline
34 & 1.1139 & 1.11277191141208 & 0.00112808858792357 & 0.00112808858792357 & -0.760279447936192 \tabularnewline
35 & 1.1222 & 1.12106356227195 & 0.00113643772805046 & 0.00113643772805046 & 0.222952583893602 \tabularnewline
36 & 1.1692 & 1.1680102325487 & 0.00118976745130257 & 0.00118976745130258 & 1.42575752215503 \tabularnewline
37 & 1.1702 & 1.18154984701219 & 0.0010318042937108 & -0.0113498470121947 & 0.410277203845241 \tabularnewline
38 & 1.2286 & 1.22705965230082 & 0.00154034783259561 & 0.00154034769917721 & 1.2924053623207 \tabularnewline
39 & 1.2613 & 1.25973258035513 & 0.00156741964486946 & 0.00156741964486946 & 0.968800576506358 \tabularnewline
40 & 1.2646 & 1.26303107637913 & 0.00156892362087426 & 0.00156892362087426 & 0.0538685566878147 \tabularnewline
41 & 1.2262 & 1.22466574153409 & 0.00153425846590801 & 0.00153425846590801 & -1.24269505459727 \tabularnewline
42 & 1.1985 & 1.19699107451373 & 0.00150892548626654 & 0.00150892548626655 & -0.908938214816675 \tabularnewline
43 & 1.2007 & 1.19919047618082 & 0.00150952381917969 & 0.00150952381917969 & 0.0214865812789852 \tabularnewline
44 & 1.2138 & 1.21228044981733 & 0.00151955018267172 & 0.00151955018267173 & 0.360366063157753 \tabularnewline
45 & 1.2266 & 1.22507070007676 & 0.00152929992323599 & 0.00152929992323599 & 0.35072698902836 \tabularnewline
46 & 1.2176 & 1.21607979273647 & 0.00152020726353157 & 0.00152020726353157 & -0.327372675540216 \tabularnewline
47 & 1.2218 & 1.22027748057707 & 0.00152251942292773 & 0.00152251942292773 & 0.0833190479461152 \tabularnewline
48 & 1.249 & 1.24745534481792 & 0.00154465518207629 & 0.0015446551820763 & 0.798354291570638 \tabularnewline
49 & 1.2991 & 1.3097539421909 & 0.000968540218705083 & -0.0106539421908961 & 1.98586885734202 \tabularnewline
50 & 1.3408 & 1.33957048291269 & 0.00122951725405708 & 0.0012295170873086 & 0.851036225178558 \tabularnewline
51 & 1.3119 & 1.310691247407 & 0.00120875259299519 & 0.00120875259299519 & -0.936856343219744 \tabularnewline
52 & 1.3014 & 1.30019931128627 & 0.00120068871372875 & 0.00120068871372875 & -0.364075587413775 \tabularnewline
53 & 1.3201 & 1.31888726771336 & 0.00121273228663888 & 0.00121273228663888 & 0.544129145802 \tabularnewline
54 & 1.2938 & 1.29260618981276 & 0.00119381018724019 & 0.0011938101872402 & -0.85548984290767 \tabularnewline
55 & 1.2694 & 1.26822378006046 & 0.00117621993953609 & 0.00117621993953609 & -0.795822443468145 \tabularnewline
56 & 1.2165 & 1.21536092032173 & 0.00113907967826635 & 0.00113907967826635 & -1.68146435935144 \tabularnewline
57 & 1.2037 & 1.20257048729483 & 0.00112951270517154 & 0.00112951270517154 & -0.433426582615905 \tabularnewline
58 & 1.2292 & 1.22805377228282 & 0.0011462277171784 & 0.0011462277171784 & 0.757784570902433 \tabularnewline
59 & 1.2256 & 1.22445702535188 & 0.00114297464811858 & 0.00114297464811857 & -0.147580921813975 \tabularnewline
60 & 1.2015 & 1.20037431506069 & 0.00112568493930587 & 0.00112568493930588 & -0.784914370934504 \tabularnewline
61 & 1.1786 & 1.1917874762662 & 0.00119886148740016 & -0.013187476266196 & -0.314377988968923 \tabularnewline
62 & 1.1856 & 1.18446491438436 & 0.00113508572367786 & 0.00113508561564345 & -0.253821154716346 \tabularnewline
63 & 1.2103 & 1.20915145629787 & 0.00114854370212668 & 0.00114854370212668 & 0.732777869098801 \tabularnewline
64 & 1.1938 & 1.19266152966773 & 0.0011384703322729 & 0.0011384703322729 & -0.548801675062196 \tabularnewline
65 & 1.202 & 1.20085750141343 & 0.00114249858656861 & 0.00114249858656861 & 0.21958638666342 \tabularnewline
66 & 1.2271 & 1.22594384263248 & 0.00115615736752379 & 0.00115615736752379 & 0.744986181798769 \tabularnewline
67 & 1.277 & 1.27581606836273 & 0.00118393163727259 & 0.00118393163727258 & 1.51574634115785 \tabularnewline
68 & 1.265 & 1.26382357629658 & 0.00117642370341881 & 0.00117642370341882 & -0.409969717323959 \tabularnewline
69 & 1.2684 & 1.26722231074375 & 0.00117768925625431 & 0.00117768925625432 & 0.0691447072584668 \tabularnewline
70 & 1.2811 & 1.2799157565282 & 0.0011842434717987 & 0.0011842434717987 & 0.35829979550625 \tabularnewline
71 & 1.2727 & 1.27152120521702 & 0.0011787947829845 & 0.0011787947829845 & -0.298033363963823 \tabularnewline
72 & 1.2611 & 1.25992846589598 & 0.00117153410401518 & 0.00117153410401518 & -0.397371772037431 \tabularnewline
73 & 1.2881 & 1.29842105263064 & 0.000938277526514172 & -0.0103210526306362 & 1.20011393809554 \tabularnewline
74 & 1.3213 & 1.32022853670506 & 0.00107146342693234 & 0.00107146329494115 & 0.625772924521532 \tabularnewline
75 & 1.2999 & 1.29883949292162 & 0.00106050707838393 & 0.00106050707838394 & -0.69880497815505 \tabularnewline
76 & 1.3074 & 1.3063363547671 & 0.00106364523290193 & 0.00106364523290193 & 0.200251765439138 \tabularnewline
77 & 1.3242 & 1.32312868971345 & 0.00107131028654627 & 0.00107131028654627 & 0.489360456830883 \tabularnewline
78 & 1.3516 & 1.35051587146111 & 0.00108412853889456 & 0.00108412853889456 & 0.818755127541958 \tabularnewline
79 & 1.3511 & 1.35001664232659 & 0.00108335767340766 & 0.00108335767340766 & -0.0492623648094707 \tabularnewline
80 & 1.3419 & 1.34082164395982 & 0.00107835604018227 & 0.00107835604018227 & -0.319786282940045 \tabularnewline
81 & 1.3716 & 1.37050772969408 & 0.0010922703059197 & 0.0010922703059197 & 0.89006047507595 \tabularnewline
82 & 1.3622 & 1.36111282797909 & 0.00108717202091071 & 0.00108717202091071 & -0.326283011897187 \tabularnewline
83 & 1.3896 & 1.38850004855773 & 0.00109995144227407 & 0.00109995144227407 & 0.818262351976112 \tabularnewline
84 & 1.4227 & 1.42158451455321 & 0.00111548544678712 & 0.00111548544678713 & 0.995120634892204 \tabularnewline
85 & 1.4684 & 1.47745419533513 & 0.00082310867686102 & -0.00905419533513122 & 1.75243595456416 \tabularnewline
86 & 1.457 & 1.4562991490606 & 0.000700851078442855 & 0.000700850939402035 & -0.66225434177818 \tabularnewline
87 & 1.4718 & 1.47109315183338 & 0.000706848166623612 & 0.000706848166623614 & 0.438461071737216 \tabularnewline
88 & 1.4748 & 1.47409217685383 & 0.00070782314617424 & 0.000707823146174236 & 0.0713133762874926 \tabularnewline
89 & 1.5527 & 1.55195937099781 & 0.000740629002187479 & 0.000740629002187476 & 2.40055419438821 \tabularnewline
90 & 1.575 & 1.57425021238624 & 0.000749787613764612 & 0.000749787613764617 & 0.670462283360849 \tabularnewline
91 & 1.5557 & 1.55495872609673 & 0.00074127390326677 & 0.000741273903266765 & -0.62351668788176 \tabularnewline
92 & 1.5553 & 1.55455921050842 & 0.000740789491578358 & 0.00074078949157836 & -0.0354918167710036 \tabularnewline
93 & 1.577 & 1.57625031818295 & 0.000749681817053175 & 0.000749681817053174 & 0.651798419211888 \tabularnewline
94 & 1.4975 & 1.49678435112792 & 0.000715648872078577 & 0.000715648872078568 & -2.49563887138217 \tabularnewline
95 & 1.437 & 1.43631030095867 & 0.000689699041333661 & 0.00068969904133365 & -1.90371055860906 \tabularnewline
96 & 1.3322 & 1.33155499998504 & 0.000645000014962088 & 0.000645000014962091 & -3.28056429415322 \tabularnewline
97 & 1.2732 & 1.2828264409648 & 0.000875131009866309 & -0.00962644096479668 & -1.57464386702805 \tabularnewline
98 & 1.3449 & 1.34372894345875 & 0.0011710566105372 & 0.00117105654124726 & 1.81554094453341 \tabularnewline
99 & 1.3239 & 1.32273730667383 & 0.00116269332617025 & 0.00116269332617025 & -0.689501152343949 \tabularnewline
100 & 1.2785 & 1.27735486425116 & 0.00114513574884127 & 0.00114513574884126 & -1.44806057212725 \tabularnewline
101 & 1.305 & 1.3038453071968 & 0.0011546928031963 & 0.00115469280319629 & 0.788514993897263 \tabularnewline
102 & 1.319 & 1.31784046721652 & 0.00115953278348239 & 0.00115953278348239 & 0.39947829911829 \tabularnewline
103 & 1.365 & 1.36382357815102 & 0.00117642184898151 & 0.0011764218489815 & 1.39450108685027 \tabularnewline
104 & 1.4016 & 1.40041024095995 & 0.001189759040051 & 0.00118975904005101 & 1.10164377853381 \tabularnewline
105 & 1.4088 & 1.40760797891961 & 0.00119202108039178 & 0.00119202108039178 & 0.186913501569089 \tabularnewline
106 & 1.4268 & 1.42560165537576 & 0.00119834462424054 & 0.00119834462424054 & 0.522714220212687 \tabularnewline
107 & 1.4562 & 1.45499104926202 & 0.00120895073797994 & 0.00120895073797994 & 0.877048181237614 \tabularnewline
108 & 1.4816 & 1.48038195488226 & 0.00121804511774258 & 0.00121804511774258 & 0.752321697971554 \tabularnewline
109 & 1.4914 & 1.50378914060165 & 0.0011262855138273 & -0.0123891406016477 & 0.705717179301887 \tabularnewline
110 & 1.4614 & 1.46047044077031 & 0.000929559332937483 & 0.000929559229691206 & -1.34822027827014 \tabularnewline
111 & 1.4272 & 1.4262823449632 & 0.00091765503679838 & 0.000917655036798383 & -1.09252060751144 \tabularnewline
112 & 1.3686 & 1.36770250677137 & 0.000897493228633854 & 0.00089749322863384 & -1.8509844552541 \tabularnewline
113 & 1.3569 & 1.35600677276994 & 0.000893227230058679 & 0.000893227230058677 & -0.391778968187763 \tabularnewline
114 & 1.3406 & 1.33971259309086 & 0.00088740690913811 & 0.000887406909138117 & -0.534705205867912 \tabularnewline
115 & 1.2565 & 1.25564135363594 & 0.000858646364058395 & 0.00085864636405839 & -2.64308793825198 \tabularnewline
116 & 1.2208 & 1.21995372124352 & 0.000846278756481012 & 0.000846278756481014 & -1.13696518449986 \tabularnewline
117 & 1.277 & 1.27613500168866 & 0.000864998311339914 & 0.000864998311339907 & 1.72148763006528 \tabularnewline
118 & 1.2894 & 1.28853110209359 & 0.000868897906405529 & 0.000868897906405525 & 0.358735843033149 \tabularnewline
119 & 1.3067 & 1.30582554916935 & 0.000874450830645999 & 0.000874450830646 & 0.51100344477083 \tabularnewline
120 & 1.3898 & 1.38889777026637 & 0.000902229733632833 & 0.000902229733632837 & 2.55719555717072 \tabularnewline
121 & 1.3661 & 1.37656553068119 & 0.000951411883174039 & -0.0104655306811878 & -0.419988168956341 \tabularnewline
122 & 1.322 & 1.32127446162559 & 0.000725538472543335 & 0.000725538374405942 & -1.71017215816258 \tabularnewline
123 & 1.336 & 1.33527037833173 & 0.000729621668266127 & 0.00072962166826613 & 0.412838923266118 \tabularnewline
124 & 1.3649 & 1.36416171585332 & 0.000738284146677954 & 0.000738284146677943 & 0.876105541617736 \tabularnewline
125 & 1.3999 & 1.39915118350852 & 0.000748816491477453 & 0.000748816491477448 & 1.06554765399739 \tabularnewline
126 & 1.4442 & 1.44343779961615 & 0.000762200383846763 & 0.000762200383846766 & 1.35445241002121 \tabularnewline
127 & 1.4349 & 1.43414089092212 & 0.00075910907788482 & 0.000759109077884815 & -0.312936896443109 \tabularnewline
128 & 1.4388 & 1.43803992627498 & 0.000760073725023977 & 0.00076007372502398 & 0.0976824815768905 \tabularnewline
129 & 1.4264 & 1.42564396682591 & 0.000756033174085175 & 0.00075603317408517 & -0.409281554724578 \tabularnewline
130 & 1.4343 & 1.43354177407969 & 0.000758225920308742 & 0.000758225920308737 & 0.22217914947287 \tabularnewline
131 & 1.377 & 1.37625958881701 & 0.000740411182987441 & 0.00074041118298743 & -1.80562538668426 \tabularnewline
132 & 1.3706 & 1.3698617791273 & 0.000738220872695097 & 0.000738220872695102 & -0.222068589006013 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157497&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]0.8564[/C][C]0.8564[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.8973[/C][C]0.895173199980903[/C][C]0.00212679997708284[/C][C]0.00212680001909714[/C][C]0.72414635561514[/C][/ROW]
[ROW][C]3[/C][C]0.9383[/C][C]0.936018326728003[/C][C]0.00228167327199684[/C][C]0.00228167327199684[/C][C]1.20674072154112[/C][/ROW]
[ROW][C]4[/C][C]0.9217[/C][C]0.919493254001169[/C][C]0.00220674599883112[/C][C]0.00220674599883112[/C][C]-0.586148422019701[/C][/ROW]
[ROW][C]5[/C][C]0.9095[/C][C]0.90735019765994[/C][C]0.00214980234006108[/C][C]0.00214980234006108[/C][C]-0.447235676661665[/C][/ROW]
[ROW][C]6[/C][C]0.892[/C][C]0.88992755908471[/C][C]0.00207244091529054[/C][C]0.00207244091529054[/C][C]-0.610003209236817[/C][/ROW]
[ROW][C]7[/C][C]0.8742[/C][C]0.872205490223783[/C][C]0.00199450977621741[/C][C]0.00199450977621741[/C][C]-0.616919522784018[/C][/ROW]
[ROW][C]8[/C][C]0.8532[/C][C]0.851295312525562[/C][C]0.00190468747443749[/C][C]0.00190468747443749[/C][C]-0.713846433803062[/C][/ROW]
[ROW][C]9[/C][C]0.8607[/C][C]0.858773540881985[/C][C]0.00192645911801487[/C][C]0.00192645911801487[/C][C]0.173703392891896[/C][/ROW]
[ROW][C]10[/C][C]0.9005[/C][C]0.898426744215197[/C][C]0.00207325578480261[/C][C]0.00207325578480261[/C][C]1.17577209935534[/C][/ROW]
[ROW][C]11[/C][C]0.9111[/C][C]0.908993822423597[/C][C]0.00210617757640262[/C][C]0.00210617757640262[/C][C]0.264712066028805[/C][/ROW]
[ROW][C]12[/C][C]0.9059[/C][C]0.903821923105957[/C][C]0.00207807689404282[/C][C]0.00207807689404282[/C][C]-0.226821366752528[/C][/ROW]
[ROW][C]13[/C][C]0.8883[/C][C]0.909488713685679[/C][C]0.00192624670227177[/C][C]-0.0211887136856788[/C][C]0.135127939844674[/C][/ROW]
[ROW][C]14[/C][C]0.8924[/C][C]0.890968727380865[/C][C]0.00143127272474437[/C][C]0.00143127261913468[/C][C]-0.542142413418703[/C][/ROW]
[ROW][C]15[/C][C]0.8833[/C][C]0.881887840292917[/C][C]0.00141215970708338[/C][C]0.00141215970708338[/C][C]-0.327278096405062[/C][/ROW]
[ROW][C]16[/C][C]0.87[/C][C]0.868614492755786[/C][C]0.00138550724421392[/C][C]0.00138550724421392[/C][C]-0.457207370307121[/C][/ROW]
[ROW][C]17[/C][C]0.8758[/C][C]0.87440650994802[/C][C]0.00139349005198054[/C][C]0.00139349005198054[/C][C]0.137188691277949[/C][/ROW]
[ROW][C]18[/C][C]0.8858[/C][C]0.88439097473172[/C][C]0.00140902526827948[/C][C]0.00140902526827948[/C][C]0.267463971976341[/C][/ROW]
[ROW][C]19[/C][C]0.917[/C][C]0.915537297300509[/C][C]0.00146270269949137[/C][C]0.00146270269949137[/C][C]0.925813768846969[/C][/ROW]
[ROW][C]20[/C][C]0.9554[/C][C]0.953870863313469[/C][C]0.00152913668653122[/C][C]0.00152913668653123[/C][C]1.14790181399221[/C][/ROW]
[ROW][C]21[/C][C]0.9922[/C][C]0.990607540399948[/C][C]0.00159245960005157[/C][C]0.00159245960005157[/C][C]1.09611575352359[/C][/ROW]
[ROW][C]22[/C][C]0.9778[/C][C]0.97623620072142[/C][C]0.00156379927857915[/C][C]0.00156379927857915[/C][C]-0.496999889124207[/C][/ROW]
[ROW][C]23[/C][C]0.9808[/C][C]0.979233631489396[/C][C]0.00156636851060391[/C][C]0.00156636851060391[/C][C]0.0446330810515254[/C][/ROW]
[ROW][C]24[/C][C]0.9811[/C][C]0.979535892861706[/C][C]0.00156410713829432[/C][C]0.00156410713829433[/C][C]-0.0393552363347695[/C][/ROW]
[ROW][C]25[/C][C]1.0014[/C][C]1.0119412627715[/C][C]0.000958296628057115[/C][C]-0.0105412627715004[/C][C]1.0578941735636[/C][/ROW]
[ROW][C]26[/C][C]1.0183[/C][C]1.0172737648253[/C][C]0.00102623530158508[/C][C]0.00102623517469868[/C][C]0.123676523168606[/C][/ROW]
[ROW][C]27[/C][C]1.0622[/C][C]1.06112338424359[/C][C]0.00107661575640891[/C][C]0.00107661575640891[/C][C]1.33280567323357[/C][/ROW]
[ROW][C]28[/C][C]1.0773[/C][C]1.07620692487251[/C][C]0.00109307512748716[/C][C]0.00109307512748716[/C][C]0.435941634369351[/C][/ROW]
[ROW][C]29[/C][C]1.0807[/C][C]1.07960422038851[/C][C]0.00109577961149485[/C][C]0.00109577961149485[/C][C]0.0717148781302742[/C][/ROW]
[ROW][C]30[/C][C]1.0848[/C][C]1.08370070256606[/C][C]0.00109929743394258[/C][C]0.00109929743394258[/C][C]0.0933916182780413[/C][/ROW]
[ROW][C]31[/C][C]1.1582[/C][C]1.15701614034134[/C][C]0.00118385965865578[/C][C]0.00118385965865577[/C][C]2.24759950045959[/C][/ROW]
[ROW][C]32[/C][C]1.1663[/C][C]1.16510806073819[/C][C]0.00119193926180959[/C][C]0.00119193926180959[/C][C]0.215001011840203[/C][/ROW]
[ROW][C]33[/C][C]1.1372[/C][C]1.13604340722486[/C][C]0.00115659277513578[/C][C]0.00115659277513578[/C][C]-0.94168159039894[/C][/ROW]
[ROW][C]34[/C][C]1.1139[/C][C]1.11277191141208[/C][C]0.00112808858792357[/C][C]0.00112808858792357[/C][C]-0.760279447936192[/C][/ROW]
[ROW][C]35[/C][C]1.1222[/C][C]1.12106356227195[/C][C]0.00113643772805046[/C][C]0.00113643772805046[/C][C]0.222952583893602[/C][/ROW]
[ROW][C]36[/C][C]1.1692[/C][C]1.1680102325487[/C][C]0.00118976745130257[/C][C]0.00118976745130258[/C][C]1.42575752215503[/C][/ROW]
[ROW][C]37[/C][C]1.1702[/C][C]1.18154984701219[/C][C]0.0010318042937108[/C][C]-0.0113498470121947[/C][C]0.410277203845241[/C][/ROW]
[ROW][C]38[/C][C]1.2286[/C][C]1.22705965230082[/C][C]0.00154034783259561[/C][C]0.00154034769917721[/C][C]1.2924053623207[/C][/ROW]
[ROW][C]39[/C][C]1.2613[/C][C]1.25973258035513[/C][C]0.00156741964486946[/C][C]0.00156741964486946[/C][C]0.968800576506358[/C][/ROW]
[ROW][C]40[/C][C]1.2646[/C][C]1.26303107637913[/C][C]0.00156892362087426[/C][C]0.00156892362087426[/C][C]0.0538685566878147[/C][/ROW]
[ROW][C]41[/C][C]1.2262[/C][C]1.22466574153409[/C][C]0.00153425846590801[/C][C]0.00153425846590801[/C][C]-1.24269505459727[/C][/ROW]
[ROW][C]42[/C][C]1.1985[/C][C]1.19699107451373[/C][C]0.00150892548626654[/C][C]0.00150892548626655[/C][C]-0.908938214816675[/C][/ROW]
[ROW][C]43[/C][C]1.2007[/C][C]1.19919047618082[/C][C]0.00150952381917969[/C][C]0.00150952381917969[/C][C]0.0214865812789852[/C][/ROW]
[ROW][C]44[/C][C]1.2138[/C][C]1.21228044981733[/C][C]0.00151955018267172[/C][C]0.00151955018267173[/C][C]0.360366063157753[/C][/ROW]
[ROW][C]45[/C][C]1.2266[/C][C]1.22507070007676[/C][C]0.00152929992323599[/C][C]0.00152929992323599[/C][C]0.35072698902836[/C][/ROW]
[ROW][C]46[/C][C]1.2176[/C][C]1.21607979273647[/C][C]0.00152020726353157[/C][C]0.00152020726353157[/C][C]-0.327372675540216[/C][/ROW]
[ROW][C]47[/C][C]1.2218[/C][C]1.22027748057707[/C][C]0.00152251942292773[/C][C]0.00152251942292773[/C][C]0.0833190479461152[/C][/ROW]
[ROW][C]48[/C][C]1.249[/C][C]1.24745534481792[/C][C]0.00154465518207629[/C][C]0.0015446551820763[/C][C]0.798354291570638[/C][/ROW]
[ROW][C]49[/C][C]1.2991[/C][C]1.3097539421909[/C][C]0.000968540218705083[/C][C]-0.0106539421908961[/C][C]1.98586885734202[/C][/ROW]
[ROW][C]50[/C][C]1.3408[/C][C]1.33957048291269[/C][C]0.00122951725405708[/C][C]0.0012295170873086[/C][C]0.851036225178558[/C][/ROW]
[ROW][C]51[/C][C]1.3119[/C][C]1.310691247407[/C][C]0.00120875259299519[/C][C]0.00120875259299519[/C][C]-0.936856343219744[/C][/ROW]
[ROW][C]52[/C][C]1.3014[/C][C]1.30019931128627[/C][C]0.00120068871372875[/C][C]0.00120068871372875[/C][C]-0.364075587413775[/C][/ROW]
[ROW][C]53[/C][C]1.3201[/C][C]1.31888726771336[/C][C]0.00121273228663888[/C][C]0.00121273228663888[/C][C]0.544129145802[/C][/ROW]
[ROW][C]54[/C][C]1.2938[/C][C]1.29260618981276[/C][C]0.00119381018724019[/C][C]0.0011938101872402[/C][C]-0.85548984290767[/C][/ROW]
[ROW][C]55[/C][C]1.2694[/C][C]1.26822378006046[/C][C]0.00117621993953609[/C][C]0.00117621993953609[/C][C]-0.795822443468145[/C][/ROW]
[ROW][C]56[/C][C]1.2165[/C][C]1.21536092032173[/C][C]0.00113907967826635[/C][C]0.00113907967826635[/C][C]-1.68146435935144[/C][/ROW]
[ROW][C]57[/C][C]1.2037[/C][C]1.20257048729483[/C][C]0.00112951270517154[/C][C]0.00112951270517154[/C][C]-0.433426582615905[/C][/ROW]
[ROW][C]58[/C][C]1.2292[/C][C]1.22805377228282[/C][C]0.0011462277171784[/C][C]0.0011462277171784[/C][C]0.757784570902433[/C][/ROW]
[ROW][C]59[/C][C]1.2256[/C][C]1.22445702535188[/C][C]0.00114297464811858[/C][C]0.00114297464811857[/C][C]-0.147580921813975[/C][/ROW]
[ROW][C]60[/C][C]1.2015[/C][C]1.20037431506069[/C][C]0.00112568493930587[/C][C]0.00112568493930588[/C][C]-0.784914370934504[/C][/ROW]
[ROW][C]61[/C][C]1.1786[/C][C]1.1917874762662[/C][C]0.00119886148740016[/C][C]-0.013187476266196[/C][C]-0.314377988968923[/C][/ROW]
[ROW][C]62[/C][C]1.1856[/C][C]1.18446491438436[/C][C]0.00113508572367786[/C][C]0.00113508561564345[/C][C]-0.253821154716346[/C][/ROW]
[ROW][C]63[/C][C]1.2103[/C][C]1.20915145629787[/C][C]0.00114854370212668[/C][C]0.00114854370212668[/C][C]0.732777869098801[/C][/ROW]
[ROW][C]64[/C][C]1.1938[/C][C]1.19266152966773[/C][C]0.0011384703322729[/C][C]0.0011384703322729[/C][C]-0.548801675062196[/C][/ROW]
[ROW][C]65[/C][C]1.202[/C][C]1.20085750141343[/C][C]0.00114249858656861[/C][C]0.00114249858656861[/C][C]0.21958638666342[/C][/ROW]
[ROW][C]66[/C][C]1.2271[/C][C]1.22594384263248[/C][C]0.00115615736752379[/C][C]0.00115615736752379[/C][C]0.744986181798769[/C][/ROW]
[ROW][C]67[/C][C]1.277[/C][C]1.27581606836273[/C][C]0.00118393163727259[/C][C]0.00118393163727258[/C][C]1.51574634115785[/C][/ROW]
[ROW][C]68[/C][C]1.265[/C][C]1.26382357629658[/C][C]0.00117642370341881[/C][C]0.00117642370341882[/C][C]-0.409969717323959[/C][/ROW]
[ROW][C]69[/C][C]1.2684[/C][C]1.26722231074375[/C][C]0.00117768925625431[/C][C]0.00117768925625432[/C][C]0.0691447072584668[/C][/ROW]
[ROW][C]70[/C][C]1.2811[/C][C]1.2799157565282[/C][C]0.0011842434717987[/C][C]0.0011842434717987[/C][C]0.35829979550625[/C][/ROW]
[ROW][C]71[/C][C]1.2727[/C][C]1.27152120521702[/C][C]0.0011787947829845[/C][C]0.0011787947829845[/C][C]-0.298033363963823[/C][/ROW]
[ROW][C]72[/C][C]1.2611[/C][C]1.25992846589598[/C][C]0.00117153410401518[/C][C]0.00117153410401518[/C][C]-0.397371772037431[/C][/ROW]
[ROW][C]73[/C][C]1.2881[/C][C]1.29842105263064[/C][C]0.000938277526514172[/C][C]-0.0103210526306362[/C][C]1.20011393809554[/C][/ROW]
[ROW][C]74[/C][C]1.3213[/C][C]1.32022853670506[/C][C]0.00107146342693234[/C][C]0.00107146329494115[/C][C]0.625772924521532[/C][/ROW]
[ROW][C]75[/C][C]1.2999[/C][C]1.29883949292162[/C][C]0.00106050707838393[/C][C]0.00106050707838394[/C][C]-0.69880497815505[/C][/ROW]
[ROW][C]76[/C][C]1.3074[/C][C]1.3063363547671[/C][C]0.00106364523290193[/C][C]0.00106364523290193[/C][C]0.200251765439138[/C][/ROW]
[ROW][C]77[/C][C]1.3242[/C][C]1.32312868971345[/C][C]0.00107131028654627[/C][C]0.00107131028654627[/C][C]0.489360456830883[/C][/ROW]
[ROW][C]78[/C][C]1.3516[/C][C]1.35051587146111[/C][C]0.00108412853889456[/C][C]0.00108412853889456[/C][C]0.818755127541958[/C][/ROW]
[ROW][C]79[/C][C]1.3511[/C][C]1.35001664232659[/C][C]0.00108335767340766[/C][C]0.00108335767340766[/C][C]-0.0492623648094707[/C][/ROW]
[ROW][C]80[/C][C]1.3419[/C][C]1.34082164395982[/C][C]0.00107835604018227[/C][C]0.00107835604018227[/C][C]-0.319786282940045[/C][/ROW]
[ROW][C]81[/C][C]1.3716[/C][C]1.37050772969408[/C][C]0.0010922703059197[/C][C]0.0010922703059197[/C][C]0.89006047507595[/C][/ROW]
[ROW][C]82[/C][C]1.3622[/C][C]1.36111282797909[/C][C]0.00108717202091071[/C][C]0.00108717202091071[/C][C]-0.326283011897187[/C][/ROW]
[ROW][C]83[/C][C]1.3896[/C][C]1.38850004855773[/C][C]0.00109995144227407[/C][C]0.00109995144227407[/C][C]0.818262351976112[/C][/ROW]
[ROW][C]84[/C][C]1.4227[/C][C]1.42158451455321[/C][C]0.00111548544678712[/C][C]0.00111548544678713[/C][C]0.995120634892204[/C][/ROW]
[ROW][C]85[/C][C]1.4684[/C][C]1.47745419533513[/C][C]0.00082310867686102[/C][C]-0.00905419533513122[/C][C]1.75243595456416[/C][/ROW]
[ROW][C]86[/C][C]1.457[/C][C]1.4562991490606[/C][C]0.000700851078442855[/C][C]0.000700850939402035[/C][C]-0.66225434177818[/C][/ROW]
[ROW][C]87[/C][C]1.4718[/C][C]1.47109315183338[/C][C]0.000706848166623612[/C][C]0.000706848166623614[/C][C]0.438461071737216[/C][/ROW]
[ROW][C]88[/C][C]1.4748[/C][C]1.47409217685383[/C][C]0.00070782314617424[/C][C]0.000707823146174236[/C][C]0.0713133762874926[/C][/ROW]
[ROW][C]89[/C][C]1.5527[/C][C]1.55195937099781[/C][C]0.000740629002187479[/C][C]0.000740629002187476[/C][C]2.40055419438821[/C][/ROW]
[ROW][C]90[/C][C]1.575[/C][C]1.57425021238624[/C][C]0.000749787613764612[/C][C]0.000749787613764617[/C][C]0.670462283360849[/C][/ROW]
[ROW][C]91[/C][C]1.5557[/C][C]1.55495872609673[/C][C]0.00074127390326677[/C][C]0.000741273903266765[/C][C]-0.62351668788176[/C][/ROW]
[ROW][C]92[/C][C]1.5553[/C][C]1.55455921050842[/C][C]0.000740789491578358[/C][C]0.00074078949157836[/C][C]-0.0354918167710036[/C][/ROW]
[ROW][C]93[/C][C]1.577[/C][C]1.57625031818295[/C][C]0.000749681817053175[/C][C]0.000749681817053174[/C][C]0.651798419211888[/C][/ROW]
[ROW][C]94[/C][C]1.4975[/C][C]1.49678435112792[/C][C]0.000715648872078577[/C][C]0.000715648872078568[/C][C]-2.49563887138217[/C][/ROW]
[ROW][C]95[/C][C]1.437[/C][C]1.43631030095867[/C][C]0.000689699041333661[/C][C]0.00068969904133365[/C][C]-1.90371055860906[/C][/ROW]
[ROW][C]96[/C][C]1.3322[/C][C]1.33155499998504[/C][C]0.000645000014962088[/C][C]0.000645000014962091[/C][C]-3.28056429415322[/C][/ROW]
[ROW][C]97[/C][C]1.2732[/C][C]1.2828264409648[/C][C]0.000875131009866309[/C][C]-0.00962644096479668[/C][C]-1.57464386702805[/C][/ROW]
[ROW][C]98[/C][C]1.3449[/C][C]1.34372894345875[/C][C]0.0011710566105372[/C][C]0.00117105654124726[/C][C]1.81554094453341[/C][/ROW]
[ROW][C]99[/C][C]1.3239[/C][C]1.32273730667383[/C][C]0.00116269332617025[/C][C]0.00116269332617025[/C][C]-0.689501152343949[/C][/ROW]
[ROW][C]100[/C][C]1.2785[/C][C]1.27735486425116[/C][C]0.00114513574884127[/C][C]0.00114513574884126[/C][C]-1.44806057212725[/C][/ROW]
[ROW][C]101[/C][C]1.305[/C][C]1.3038453071968[/C][C]0.0011546928031963[/C][C]0.00115469280319629[/C][C]0.788514993897263[/C][/ROW]
[ROW][C]102[/C][C]1.319[/C][C]1.31784046721652[/C][C]0.00115953278348239[/C][C]0.00115953278348239[/C][C]0.39947829911829[/C][/ROW]
[ROW][C]103[/C][C]1.365[/C][C]1.36382357815102[/C][C]0.00117642184898151[/C][C]0.0011764218489815[/C][C]1.39450108685027[/C][/ROW]
[ROW][C]104[/C][C]1.4016[/C][C]1.40041024095995[/C][C]0.001189759040051[/C][C]0.00118975904005101[/C][C]1.10164377853381[/C][/ROW]
[ROW][C]105[/C][C]1.4088[/C][C]1.40760797891961[/C][C]0.00119202108039178[/C][C]0.00119202108039178[/C][C]0.186913501569089[/C][/ROW]
[ROW][C]106[/C][C]1.4268[/C][C]1.42560165537576[/C][C]0.00119834462424054[/C][C]0.00119834462424054[/C][C]0.522714220212687[/C][/ROW]
[ROW][C]107[/C][C]1.4562[/C][C]1.45499104926202[/C][C]0.00120895073797994[/C][C]0.00120895073797994[/C][C]0.877048181237614[/C][/ROW]
[ROW][C]108[/C][C]1.4816[/C][C]1.48038195488226[/C][C]0.00121804511774258[/C][C]0.00121804511774258[/C][C]0.752321697971554[/C][/ROW]
[ROW][C]109[/C][C]1.4914[/C][C]1.50378914060165[/C][C]0.0011262855138273[/C][C]-0.0123891406016477[/C][C]0.705717179301887[/C][/ROW]
[ROW][C]110[/C][C]1.4614[/C][C]1.46047044077031[/C][C]0.000929559332937483[/C][C]0.000929559229691206[/C][C]-1.34822027827014[/C][/ROW]
[ROW][C]111[/C][C]1.4272[/C][C]1.4262823449632[/C][C]0.00091765503679838[/C][C]0.000917655036798383[/C][C]-1.09252060751144[/C][/ROW]
[ROW][C]112[/C][C]1.3686[/C][C]1.36770250677137[/C][C]0.000897493228633854[/C][C]0.00089749322863384[/C][C]-1.8509844552541[/C][/ROW]
[ROW][C]113[/C][C]1.3569[/C][C]1.35600677276994[/C][C]0.000893227230058679[/C][C]0.000893227230058677[/C][C]-0.391778968187763[/C][/ROW]
[ROW][C]114[/C][C]1.3406[/C][C]1.33971259309086[/C][C]0.00088740690913811[/C][C]0.000887406909138117[/C][C]-0.534705205867912[/C][/ROW]
[ROW][C]115[/C][C]1.2565[/C][C]1.25564135363594[/C][C]0.000858646364058395[/C][C]0.00085864636405839[/C][C]-2.64308793825198[/C][/ROW]
[ROW][C]116[/C][C]1.2208[/C][C]1.21995372124352[/C][C]0.000846278756481012[/C][C]0.000846278756481014[/C][C]-1.13696518449986[/C][/ROW]
[ROW][C]117[/C][C]1.277[/C][C]1.27613500168866[/C][C]0.000864998311339914[/C][C]0.000864998311339907[/C][C]1.72148763006528[/C][/ROW]
[ROW][C]118[/C][C]1.2894[/C][C]1.28853110209359[/C][C]0.000868897906405529[/C][C]0.000868897906405525[/C][C]0.358735843033149[/C][/ROW]
[ROW][C]119[/C][C]1.3067[/C][C]1.30582554916935[/C][C]0.000874450830645999[/C][C]0.000874450830646[/C][C]0.51100344477083[/C][/ROW]
[ROW][C]120[/C][C]1.3898[/C][C]1.38889777026637[/C][C]0.000902229733632833[/C][C]0.000902229733632837[/C][C]2.55719555717072[/C][/ROW]
[ROW][C]121[/C][C]1.3661[/C][C]1.37656553068119[/C][C]0.000951411883174039[/C][C]-0.0104655306811878[/C][C]-0.419988168956341[/C][/ROW]
[ROW][C]122[/C][C]1.322[/C][C]1.32127446162559[/C][C]0.000725538472543335[/C][C]0.000725538374405942[/C][C]-1.71017215816258[/C][/ROW]
[ROW][C]123[/C][C]1.336[/C][C]1.33527037833173[/C][C]0.000729621668266127[/C][C]0.00072962166826613[/C][C]0.412838923266118[/C][/ROW]
[ROW][C]124[/C][C]1.3649[/C][C]1.36416171585332[/C][C]0.000738284146677954[/C][C]0.000738284146677943[/C][C]0.876105541617736[/C][/ROW]
[ROW][C]125[/C][C]1.3999[/C][C]1.39915118350852[/C][C]0.000748816491477453[/C][C]0.000748816491477448[/C][C]1.06554765399739[/C][/ROW]
[ROW][C]126[/C][C]1.4442[/C][C]1.44343779961615[/C][C]0.000762200383846763[/C][C]0.000762200383846766[/C][C]1.35445241002121[/C][/ROW]
[ROW][C]127[/C][C]1.4349[/C][C]1.43414089092212[/C][C]0.00075910907788482[/C][C]0.000759109077884815[/C][C]-0.312936896443109[/C][/ROW]
[ROW][C]128[/C][C]1.4388[/C][C]1.43803992627498[/C][C]0.000760073725023977[/C][C]0.00076007372502398[/C][C]0.0976824815768905[/C][/ROW]
[ROW][C]129[/C][C]1.4264[/C][C]1.42564396682591[/C][C]0.000756033174085175[/C][C]0.00075603317408517[/C][C]-0.409281554724578[/C][/ROW]
[ROW][C]130[/C][C]1.4343[/C][C]1.43354177407969[/C][C]0.000758225920308742[/C][C]0.000758225920308737[/C][C]0.22217914947287[/C][/ROW]
[ROW][C]131[/C][C]1.377[/C][C]1.37625958881701[/C][C]0.000740411182987441[/C][C]0.00074041118298743[/C][C]-1.80562538668426[/C][/ROW]
[ROW][C]132[/C][C]1.3706[/C][C]1.3698617791273[/C][C]0.000738220872695097[/C][C]0.000738220872695102[/C][C]-0.222068589006013[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157497&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157497&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
10.85640.8564000
20.89730.8951731999809030.002126799977082840.002126800019097140.72414635561514
30.93830.9360183267280030.002281673271996840.002281673271996841.20674072154112
40.92170.9194932540011690.002206745998831120.00220674599883112-0.586148422019701
50.90950.907350197659940.002149802340061080.00214980234006108-0.447235676661665
60.8920.889927559084710.002072440915290540.00207244091529054-0.610003209236817
70.87420.8722054902237830.001994509776217410.00199450977621741-0.616919522784018
80.85320.8512953125255620.001904687474437490.00190468747443749-0.713846433803062
90.86070.8587735408819850.001926459118014870.001926459118014870.173703392891896
100.90050.8984267442151970.002073255784802610.002073255784802611.17577209935534
110.91110.9089938224235970.002106177576402620.002106177576402620.264712066028805
120.90590.9038219231059570.002078076894042820.00207807689404282-0.226821366752528
130.88830.9094887136856790.00192624670227177-0.02118871368567880.135127939844674
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Parameters (Session):
par1 = Default ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
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')