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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 computationSat, 10 Nov 2012 15:24:34 -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/2012/Nov/10/t1352579217ysfrvogsypdl6qu.htm/, Retrieved Thu, 25 Apr 2024 21:33:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=187423, Retrieved Thu, 25 Apr 2024 21:33:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact100
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
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Dataseries X:
617
614
647
580
614
636
388
356
639
753
611
639
630
586
695
552
619
681
421
307
754
690
644
643
608
651
691
627
634
731
475
337
803
722
590
724
627
696
825
677
656
785
412
352
839
729
696
641
695
638
762
635
721
854
418
367
824
687
601
676
740
691
683
594
729
731
386
331
706
715
657
653
642
643
718
654
632
731
392
344
792
852
649
629
685
617
715
715
629
916
531
357
917
828
708
858
775
785
1006
789
734
906
532
387
991
841
892
782
811
792
978
773
796
946
594
438
1023
868
791
760
779
852
1001
734
996
869
599
426
1138
1091
830
909




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 5 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=187423&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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=187423&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=187423&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 time5 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Structural Time Series Model
tObservedLevelSlopeSeasonalStand. Residuals
1617617000
2614616.06229718742-0.0182618229066778-1.59963031932756-0.0444630198027383
3647628.6482011059410.99946633612582615.30560193758450.360524437139486
4580613.385539574209-0.249101846606678-28.9611012149357-0.526273130782507
5614610.236483094035-0.4278461179790714.71093268440618-0.107821018746853
6636617.732513953304-0.051328375249640815.41542000134620.315667117200098
7388546.585430367207-2.75846109123147-131.902292035632-2.91356333360034
8356466.57004743301-5.29342155448544-81.0841276039254-3.20006524017127
9639498.598495079391-4.16562499972719126.0689470750421.55147061089406
10753587.517423359305-1.46242717087671129.6703407052993.87266379145731
11611619.376424879424-0.512793109040225-21.19863281231631.38606790653778
12639634.404394469669-0.0746658778742414-1.38295300837880.646192003721311
13630637.441574441545-0.145902342459996-8.719086962164070.143794742003424
14586625.134337920571-0.189400174969176-34.4647736226262-0.52332734584932
15695635.8009925305420.1177199418080755.56344163457580.418181552681014
16552618.45173102732-0.548935575713281-60.8714438239431-0.655595327010974
17619606.021541917903-1.0116756864712516.8665133379006-0.457764247789411
18681600.357087840604-1.1777908699972282.2254016175526-0.185132367080547
19421572.290915543542-2.02748376981393-141.87928984216-1.09367031344713
20307523.447305824604-3.34309402321698-199.782492733297-1.92728426099601
21754561.716390101623-2.28411159145898177.3391973407291.72297257579309
22690577.533724459393-1.86451583314466105.9354316971070.751238066463147
23644610.477500489468-1.1526681143097120.92598393515771.44576884957914
24643628.755812238723-0.8371136599856237.179696918539460.809200690708658
25608627.403679631098-0.842091449320679-19.2138463019572-0.0217542197044055
26651644.221066272025-0.5983790808937370.3763349164401510.734642303727645
27691640.24841340272-0.67108371202667551.9264330766228-0.135794636901696
28627649.223506602987-0.408850126895306-25.49016160693530.381002417826397
29634636.178235541398-0.7820572201012942.09146919273977-0.500310721184709
30731628.061253467058-0.997671621598992105.449070338435-0.294117414964036
31475617.245336056542-1.27163272768834-138.83319916355-0.398795255190011
32337601.207186066301-1.65411498775878-259.013972561836-0.605209716060285
33803611.301411514829-1.37440665647852187.535675289780.483912792396615
34722623.379038449789-1.0823147957766693.83431016249440.555294193381863
35590614.172295471856-1.24154180037755-21.2743005895631-0.335696117293448
36724643.492929639059-0.70305039138886369.58250257154091.26440901480222
37627654.441299721752-0.510903346154514-31.61123640390230.482508123064026
38696668.792385461114-0.24456905475781721.92766515785850.611421992282634
39825703.9735236284420.494007349558294108.6307429169261.43940534387595
40677708.3919937700230.586600123213342-32.74722892124780.157979752309502
41656690.4347294456970.118459942363158-28.0575756903566-0.745518642283325
42785680.261942139832-0.14587924070327108.291255453296-0.415743928687551
43412637.599577709034-1.21715400392714-210.81050624404-1.72909383552137
44352622.946807501739-1.54152590584859-266.24030437427-0.549434601839517
45839630.697598540949-1.32945784751415205.0310432239160.381285137019485
46729635.288206430698-1.202511807475991.62151226872740.243308311094852
47696668.654032456324-0.50475262083172715.12075287486571.42177462632016
48641652.478215880718-0.806807605791599-5.93158646171911-0.644783629498079
49695676.523623006383-0.334009127644539.685473419631331.0218455407762
50638670.198179368937-0.451972401708923-30.0869168081069-0.245519770577
51762661.109950086158-0.633085314269938103.913077719923-0.351980343407318
52635653.866545840723-0.780557344553721-16.567149509839-0.268195473357659
53721673.915223041134-0.29601017535792339.85962239882480.844006197175531
54854690.6933014409470.10785023572492157.3772161954040.693133463438753
55418674.955466854181-0.264734425015366-251.433275154338-0.645399469533269
56367662.479184214398-0.54539797354472-291.207101633547-0.498919998501138
57824650.588054486417-0.797670462590824177.392952047143-0.46450523414113
58687637.393897664488-1.063366066215653.9638611840153-0.508073264365704
59601617.29952086335-1.45792917364043-9.60283847068743-0.780374127471211
60676635.343589485405-1.0624008711121933.79165295099280.79976246114784
61740665.470406259485-0.43232857864434563.55730137855191.27826816074499
62691687.541466846470.0296297431308142-4.442306540645320.920668314341161
63683661.202276681714-0.52771910768277931.0264251985477-1.07603310635026
64594644.501552718188-0.880344883987069-44.8586023366452-0.658497597887056
65729654.712084296939-0.63276535998632770.42441819183860.451198494901602
66731627.325692471352-1.2368120893582112.996672717601-1.08917660321024
67386619.273692464312-1.39049373996767-230.895031260805-0.277903496593212
68331614.036701056202-1.47623120740319-281.691470347124-0.157109273965743
69706583.909138566022-2.10333838428371132.127935018334-1.17165865249605
70715598.663390293011-1.74181186075428110.424560365440.689833203608197
71657628.895851753949-1.0682852983990316.88386829285561.30882922794767
72653639.439201091953-0.8264357267889489.485400296285730.475320399090417
73642624.441655426451-1.1210486213786922.530263267343-0.579874284458086
74643620.246811243951-1.1854457333262623.8305097295595-0.125663826139505
75718635.046106669502-0.84577527477091877.36021931793930.652662697891046
76654656.256875744709-0.36962609062678-9.963443375831930.899561807409983
77632626.010885581572-1.0228811886938516.4186812379583-1.21789348815966
78731613.722704766505-1.27090266690558121.210067245811-0.459352572708449
79392610.96516668062-1.3036378998386-218.445776893367-0.0606662760049782
80344611.548815127985-1.26231857082814-268.2088681085320.0770830069199614
81792632.309863378261-0.784782253725467151.9806339356890.900111016220085
82852676.3652870781860.176879494562883159.9279199365551.83338754344646
83649674.5206628244920.133940806177691-24.8123124346421-0.0826690225568126
84629655.342245884328-0.273810360407432-19.5743946663459-0.789783983249319
85685654.143068301728-0.29332620319288531.1811550048487-0.037835257187956
86617639.382789388497-0.599561448532739-17.3166664342389-0.591229892137465
87715636.356519127067-0.6512928702193479.4926134371713-0.0991105159246446
88715655.025152753299-0.23609484355453153.21986742034380.78860138638812
89629644.967688694789-0.448610215257918-12.5354106080087-0.400778527673236
90916688.8707613448670.514878978508664211.6300224810651.81004159197182
91531721.5533954209111.21398749438461-201.7988335911251.31329848607158
92357708.978517812350.915148712586352-347.155542033324-0.563206040190319
93917730.9965475776641.37021197076843178.6185436295760.86226495431942
94828715.2920590851851.00414917972807118.685351591142-0.697835704692295
95708712.8313201992320.930247161802907-3.61810291723971-0.141624435788432
96858760.6828225084461.9277591698592180.88691654104981.91788366022479
97775765.5208778568451.989584965549268.460136430532750.11894384303206
98785780.5471927932162.26702260902034-0.110516141188670.532683392293619
991006834.144492447793.36325438288747153.8952117856212.09668663215774
100789822.1936734574393.03483498537338-27.8374728032255-0.625348307475803
101734809.9314576266122.70558671281973-70.5825882634488-0.624557680848542
102906779.7510472818091.99619074408548137.747713008285-1.34274054734612
103532758.9501449062471.50423596804659-218.977682123251-0.930979104526215
104387751.1064713146471.302782322357-360.836493246187-0.38183522712832
105991766.9697618724141.61576347266501218.9354911668740.594873902731027
106841762.7110100578431.4898750544483480.3449055330673-0.240036878710386
107892813.2797558701792.5387321817362861.54198357044622.00553104521738
108782796.1606199346852.11937544288878-7.27985361224602-0.803293655142661
109811801.2943005750822.183648688980588.650667011736430.123168731334578
110792808.0752996857782.28175794897507-17.68418820403560.18783108776674
111978808.927156651022.25118919043663169.573150158297-0.0584109390440604
112773800.400765994232.02028773230612-23.630584557524-0.440192811514697
113796810.2702176547542.18877398799499-17.0156105759610.320559452573175
114946808.3631876707622.1007479327505139.069359276506-0.167274300831065
115594810.3847495833942.09904561030749-216.357051337712-0.00323427436621745
116438812.6214251642092.10200244814476-374.6695729287420.00562203019148305
1171023814.355240217832.09410271312608208.773582762748-0.0150416600611853
118868815.967535604892.0837816825304652.2010598305787-0.0196848707480036
119791787.9207108183791.4392808640473313.6233897123439-1.23107331809738
120760776.8555072280041.17206759411666-12.4795083928798-0.510909865194458
121779773.4404598911331.074072818998257.16478205659046-0.187415551024846
122852800.9060678847361.6380924783469941.85897297407861.07821007328533
1231001815.5064350751661.9153587593843180.9582577520340.529521171961031
124734803.5644560493861.61861783595938-64.7164951252389-0.566040387021278
125996863.1395828921492.86096055281431112.5859466505842.36728143742717
126869838.0084327514972.2605261996326440.7836509067841-1.14336303131602
127599825.6967047001961.94789208426984-221.598914305463-0.595242112218979
128426814.6644104300261.66949859763102-384.123257702576-0.530242233624219
1291138843.7669610591882.25747827625132284.6347989054391.12070791619668
1301091902.9156909600383.47582884445332168.178071939142.32424421543855
131830890.7129979299083.14032670222056-55.2268777807483-0.640547210461122
132909900.7564828048623.287967665953875.827978605503010.282030228434567

\begin{tabular}{lllllllll}
\hline
Structural Time Series Model \tabularnewline
t & Observed & Level & Slope & Seasonal & Stand. Residuals \tabularnewline
1 & 617 & 617 & 0 & 0 & 0 \tabularnewline
2 & 614 & 616.06229718742 & -0.0182618229066778 & -1.59963031932756 & -0.0444630198027383 \tabularnewline
3 & 647 & 628.648201105941 & 0.999466336125826 & 15.3056019375845 & 0.360524437139486 \tabularnewline
4 & 580 & 613.385539574209 & -0.249101846606678 & -28.9611012149357 & -0.526273130782507 \tabularnewline
5 & 614 & 610.236483094035 & -0.427846117979071 & 4.71093268440618 & -0.107821018746853 \tabularnewline
6 & 636 & 617.732513953304 & -0.0513283752496408 & 15.4154200013462 & 0.315667117200098 \tabularnewline
7 & 388 & 546.585430367207 & -2.75846109123147 & -131.902292035632 & -2.91356333360034 \tabularnewline
8 & 356 & 466.57004743301 & -5.29342155448544 & -81.0841276039254 & -3.20006524017127 \tabularnewline
9 & 639 & 498.598495079391 & -4.16562499972719 & 126.068947075042 & 1.55147061089406 \tabularnewline
10 & 753 & 587.517423359305 & -1.46242717087671 & 129.670340705299 & 3.87266379145731 \tabularnewline
11 & 611 & 619.376424879424 & -0.512793109040225 & -21.1986328123163 & 1.38606790653778 \tabularnewline
12 & 639 & 634.404394469669 & -0.0746658778742414 & -1.3829530083788 & 0.646192003721311 \tabularnewline
13 & 630 & 637.441574441545 & -0.145902342459996 & -8.71908696216407 & 0.143794742003424 \tabularnewline
14 & 586 & 625.134337920571 & -0.189400174969176 & -34.4647736226262 & -0.52332734584932 \tabularnewline
15 & 695 & 635.800992530542 & 0.11771994180807 & 55.5634416345758 & 0.418181552681014 \tabularnewline
16 & 552 & 618.45173102732 & -0.548935575713281 & -60.8714438239431 & -0.655595327010974 \tabularnewline
17 & 619 & 606.021541917903 & -1.01167568647125 & 16.8665133379006 & -0.457764247789411 \tabularnewline
18 & 681 & 600.357087840604 & -1.17779086999722 & 82.2254016175526 & -0.185132367080547 \tabularnewline
19 & 421 & 572.290915543542 & -2.02748376981393 & -141.87928984216 & -1.09367031344713 \tabularnewline
20 & 307 & 523.447305824604 & -3.34309402321698 & -199.782492733297 & -1.92728426099601 \tabularnewline
21 & 754 & 561.716390101623 & -2.28411159145898 & 177.339197340729 & 1.72297257579309 \tabularnewline
22 & 690 & 577.533724459393 & -1.86451583314466 & 105.935431697107 & 0.751238066463147 \tabularnewline
23 & 644 & 610.477500489468 & -1.15266811430971 & 20.9259839351577 & 1.44576884957914 \tabularnewline
24 & 643 & 628.755812238723 & -0.837113659985623 & 7.17969691853946 & 0.809200690708658 \tabularnewline
25 & 608 & 627.403679631098 & -0.842091449320679 & -19.2138463019572 & -0.0217542197044055 \tabularnewline
26 & 651 & 644.221066272025 & -0.598379080893737 & 0.376334916440151 & 0.734642303727645 \tabularnewline
27 & 691 & 640.24841340272 & -0.671083712026675 & 51.9264330766228 & -0.135794636901696 \tabularnewline
28 & 627 & 649.223506602987 & -0.408850126895306 & -25.4901616069353 & 0.381002417826397 \tabularnewline
29 & 634 & 636.178235541398 & -0.782057220101294 & 2.09146919273977 & -0.500310721184709 \tabularnewline
30 & 731 & 628.061253467058 & -0.997671621598992 & 105.449070338435 & -0.294117414964036 \tabularnewline
31 & 475 & 617.245336056542 & -1.27163272768834 & -138.83319916355 & -0.398795255190011 \tabularnewline
32 & 337 & 601.207186066301 & -1.65411498775878 & -259.013972561836 & -0.605209716060285 \tabularnewline
33 & 803 & 611.301411514829 & -1.37440665647852 & 187.53567528978 & 0.483912792396615 \tabularnewline
34 & 722 & 623.379038449789 & -1.08231479577666 & 93.8343101624944 & 0.555294193381863 \tabularnewline
35 & 590 & 614.172295471856 & -1.24154180037755 & -21.2743005895631 & -0.335696117293448 \tabularnewline
36 & 724 & 643.492929639059 & -0.703050391388863 & 69.5825025715409 & 1.26440901480222 \tabularnewline
37 & 627 & 654.441299721752 & -0.510903346154514 & -31.6112364039023 & 0.482508123064026 \tabularnewline
38 & 696 & 668.792385461114 & -0.244569054757817 & 21.9276651578585 & 0.611421992282634 \tabularnewline
39 & 825 & 703.973523628442 & 0.494007349558294 & 108.630742916926 & 1.43940534387595 \tabularnewline
40 & 677 & 708.391993770023 & 0.586600123213342 & -32.7472289212478 & 0.157979752309502 \tabularnewline
41 & 656 & 690.434729445697 & 0.118459942363158 & -28.0575756903566 & -0.745518642283325 \tabularnewline
42 & 785 & 680.261942139832 & -0.14587924070327 & 108.291255453296 & -0.415743928687551 \tabularnewline
43 & 412 & 637.599577709034 & -1.21715400392714 & -210.81050624404 & -1.72909383552137 \tabularnewline
44 & 352 & 622.946807501739 & -1.54152590584859 & -266.24030437427 & -0.549434601839517 \tabularnewline
45 & 839 & 630.697598540949 & -1.32945784751415 & 205.031043223916 & 0.381285137019485 \tabularnewline
46 & 729 & 635.288206430698 & -1.2025118074759 & 91.6215122687274 & 0.243308311094852 \tabularnewline
47 & 696 & 668.654032456324 & -0.504752620831727 & 15.1207528748657 & 1.42177462632016 \tabularnewline
48 & 641 & 652.478215880718 & -0.806807605791599 & -5.93158646171911 & -0.644783629498079 \tabularnewline
49 & 695 & 676.523623006383 & -0.33400912764453 & 9.68547341963133 & 1.0218455407762 \tabularnewline
50 & 638 & 670.198179368937 & -0.451972401708923 & -30.0869168081069 & -0.245519770577 \tabularnewline
51 & 762 & 661.109950086158 & -0.633085314269938 & 103.913077719923 & -0.351980343407318 \tabularnewline
52 & 635 & 653.866545840723 & -0.780557344553721 & -16.567149509839 & -0.268195473357659 \tabularnewline
53 & 721 & 673.915223041134 & -0.296010175357923 & 39.8596223988248 & 0.844006197175531 \tabularnewline
54 & 854 & 690.693301440947 & 0.10785023572492 & 157.377216195404 & 0.693133463438753 \tabularnewline
55 & 418 & 674.955466854181 & -0.264734425015366 & -251.433275154338 & -0.645399469533269 \tabularnewline
56 & 367 & 662.479184214398 & -0.54539797354472 & -291.207101633547 & -0.498919998501138 \tabularnewline
57 & 824 & 650.588054486417 & -0.797670462590824 & 177.392952047143 & -0.46450523414113 \tabularnewline
58 & 687 & 637.393897664488 & -1.0633660662156 & 53.9638611840153 & -0.508073264365704 \tabularnewline
59 & 601 & 617.29952086335 & -1.45792917364043 & -9.60283847068743 & -0.780374127471211 \tabularnewline
60 & 676 & 635.343589485405 & -1.06240087111219 & 33.7916529509928 & 0.79976246114784 \tabularnewline
61 & 740 & 665.470406259485 & -0.432328578644345 & 63.5573013785519 & 1.27826816074499 \tabularnewline
62 & 691 & 687.54146684647 & 0.0296297431308142 & -4.44230654064532 & 0.920668314341161 \tabularnewline
63 & 683 & 661.202276681714 & -0.527719107682779 & 31.0264251985477 & -1.07603310635026 \tabularnewline
64 & 594 & 644.501552718188 & -0.880344883987069 & -44.8586023366452 & -0.658497597887056 \tabularnewline
65 & 729 & 654.712084296939 & -0.632765359986327 & 70.4244181918386 & 0.451198494901602 \tabularnewline
66 & 731 & 627.325692471352 & -1.2368120893582 & 112.996672717601 & -1.08917660321024 \tabularnewline
67 & 386 & 619.273692464312 & -1.39049373996767 & -230.895031260805 & -0.277903496593212 \tabularnewline
68 & 331 & 614.036701056202 & -1.47623120740319 & -281.691470347124 & -0.157109273965743 \tabularnewline
69 & 706 & 583.909138566022 & -2.10333838428371 & 132.127935018334 & -1.17165865249605 \tabularnewline
70 & 715 & 598.663390293011 & -1.74181186075428 & 110.42456036544 & 0.689833203608197 \tabularnewline
71 & 657 & 628.895851753949 & -1.06828529839903 & 16.8838682928556 & 1.30882922794767 \tabularnewline
72 & 653 & 639.439201091953 & -0.826435726788948 & 9.48540029628573 & 0.475320399090417 \tabularnewline
73 & 642 & 624.441655426451 & -1.12104862137869 & 22.530263267343 & -0.579874284458086 \tabularnewline
74 & 643 & 620.246811243951 & -1.18544573332626 & 23.8305097295595 & -0.125663826139505 \tabularnewline
75 & 718 & 635.046106669502 & -0.845775274770918 & 77.3602193179393 & 0.652662697891046 \tabularnewline
76 & 654 & 656.256875744709 & -0.36962609062678 & -9.96344337583193 & 0.899561807409983 \tabularnewline
77 & 632 & 626.010885581572 & -1.02288118869385 & 16.4186812379583 & -1.21789348815966 \tabularnewline
78 & 731 & 613.722704766505 & -1.27090266690558 & 121.210067245811 & -0.459352572708449 \tabularnewline
79 & 392 & 610.96516668062 & -1.3036378998386 & -218.445776893367 & -0.0606662760049782 \tabularnewline
80 & 344 & 611.548815127985 & -1.26231857082814 & -268.208868108532 & 0.0770830069199614 \tabularnewline
81 & 792 & 632.309863378261 & -0.784782253725467 & 151.980633935689 & 0.900111016220085 \tabularnewline
82 & 852 & 676.365287078186 & 0.176879494562883 & 159.927919936555 & 1.83338754344646 \tabularnewline
83 & 649 & 674.520662824492 & 0.133940806177691 & -24.8123124346421 & -0.0826690225568126 \tabularnewline
84 & 629 & 655.342245884328 & -0.273810360407432 & -19.5743946663459 & -0.789783983249319 \tabularnewline
85 & 685 & 654.143068301728 & -0.293326203192885 & 31.1811550048487 & -0.037835257187956 \tabularnewline
86 & 617 & 639.382789388497 & -0.599561448532739 & -17.3166664342389 & -0.591229892137465 \tabularnewline
87 & 715 & 636.356519127067 & -0.65129287021934 & 79.4926134371713 & -0.0991105159246446 \tabularnewline
88 & 715 & 655.025152753299 & -0.236094843554531 & 53.2198674203438 & 0.78860138638812 \tabularnewline
89 & 629 & 644.967688694789 & -0.448610215257918 & -12.5354106080087 & -0.400778527673236 \tabularnewline
90 & 916 & 688.870761344867 & 0.514878978508664 & 211.630022481065 & 1.81004159197182 \tabularnewline
91 & 531 & 721.553395420911 & 1.21398749438461 & -201.798833591125 & 1.31329848607158 \tabularnewline
92 & 357 & 708.97851781235 & 0.915148712586352 & -347.155542033324 & -0.563206040190319 \tabularnewline
93 & 917 & 730.996547577664 & 1.37021197076843 & 178.618543629576 & 0.86226495431942 \tabularnewline
94 & 828 & 715.292059085185 & 1.00414917972807 & 118.685351591142 & -0.697835704692295 \tabularnewline
95 & 708 & 712.831320199232 & 0.930247161802907 & -3.61810291723971 & -0.141624435788432 \tabularnewline
96 & 858 & 760.682822508446 & 1.92775916985921 & 80.8869165410498 & 1.91788366022479 \tabularnewline
97 & 775 & 765.520877856845 & 1.98958496554926 & 8.46013643053275 & 0.11894384303206 \tabularnewline
98 & 785 & 780.547192793216 & 2.26702260902034 & -0.11051614118867 & 0.532683392293619 \tabularnewline
99 & 1006 & 834.14449244779 & 3.36325438288747 & 153.895211785621 & 2.09668663215774 \tabularnewline
100 & 789 & 822.193673457439 & 3.03483498537338 & -27.8374728032255 & -0.625348307475803 \tabularnewline
101 & 734 & 809.931457626612 & 2.70558671281973 & -70.5825882634488 & -0.624557680848542 \tabularnewline
102 & 906 & 779.751047281809 & 1.99619074408548 & 137.747713008285 & -1.34274054734612 \tabularnewline
103 & 532 & 758.950144906247 & 1.50423596804659 & -218.977682123251 & -0.930979104526215 \tabularnewline
104 & 387 & 751.106471314647 & 1.302782322357 & -360.836493246187 & -0.38183522712832 \tabularnewline
105 & 991 & 766.969761872414 & 1.61576347266501 & 218.935491166874 & 0.594873902731027 \tabularnewline
106 & 841 & 762.711010057843 & 1.48987505444834 & 80.3449055330673 & -0.240036878710386 \tabularnewline
107 & 892 & 813.279755870179 & 2.53873218173628 & 61.5419835704462 & 2.00553104521738 \tabularnewline
108 & 782 & 796.160619934685 & 2.11937544288878 & -7.27985361224602 & -0.803293655142661 \tabularnewline
109 & 811 & 801.294300575082 & 2.18364868898058 & 8.65066701173643 & 0.123168731334578 \tabularnewline
110 & 792 & 808.075299685778 & 2.28175794897507 & -17.6841882040356 & 0.18783108776674 \tabularnewline
111 & 978 & 808.92715665102 & 2.25118919043663 & 169.573150158297 & -0.0584109390440604 \tabularnewline
112 & 773 & 800.40076599423 & 2.02028773230612 & -23.630584557524 & -0.440192811514697 \tabularnewline
113 & 796 & 810.270217654754 & 2.18877398799499 & -17.015610575961 & 0.320559452573175 \tabularnewline
114 & 946 & 808.363187670762 & 2.1007479327505 & 139.069359276506 & -0.167274300831065 \tabularnewline
115 & 594 & 810.384749583394 & 2.09904561030749 & -216.357051337712 & -0.00323427436621745 \tabularnewline
116 & 438 & 812.621425164209 & 2.10200244814476 & -374.669572928742 & 0.00562203019148305 \tabularnewline
117 & 1023 & 814.35524021783 & 2.09410271312608 & 208.773582762748 & -0.0150416600611853 \tabularnewline
118 & 868 & 815.96753560489 & 2.08378168253046 & 52.2010598305787 & -0.0196848707480036 \tabularnewline
119 & 791 & 787.920710818379 & 1.43928086404733 & 13.6233897123439 & -1.23107331809738 \tabularnewline
120 & 760 & 776.855507228004 & 1.17206759411666 & -12.4795083928798 & -0.510909865194458 \tabularnewline
121 & 779 & 773.440459891133 & 1.07407281899825 & 7.16478205659046 & -0.187415551024846 \tabularnewline
122 & 852 & 800.906067884736 & 1.63809247834699 & 41.8589729740786 & 1.07821007328533 \tabularnewline
123 & 1001 & 815.506435075166 & 1.9153587593843 & 180.958257752034 & 0.529521171961031 \tabularnewline
124 & 734 & 803.564456049386 & 1.61861783595938 & -64.7164951252389 & -0.566040387021278 \tabularnewline
125 & 996 & 863.139582892149 & 2.86096055281431 & 112.585946650584 & 2.36728143742717 \tabularnewline
126 & 869 & 838.008432751497 & 2.26052619963264 & 40.7836509067841 & -1.14336303131602 \tabularnewline
127 & 599 & 825.696704700196 & 1.94789208426984 & -221.598914305463 & -0.595242112218979 \tabularnewline
128 & 426 & 814.664410430026 & 1.66949859763102 & -384.123257702576 & -0.530242233624219 \tabularnewline
129 & 1138 & 843.766961059188 & 2.25747827625132 & 284.634798905439 & 1.12070791619668 \tabularnewline
130 & 1091 & 902.915690960038 & 3.47582884445332 & 168.17807193914 & 2.32424421543855 \tabularnewline
131 & 830 & 890.712997929908 & 3.14032670222056 & -55.2268777807483 & -0.640547210461122 \tabularnewline
132 & 909 & 900.756482804862 & 3.28796766595387 & 5.82797860550301 & 0.282030228434567 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=187423&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]617[/C][C]617[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]614[/C][C]616.06229718742[/C][C]-0.0182618229066778[/C][C]-1.59963031932756[/C][C]-0.0444630198027383[/C][/ROW]
[ROW][C]3[/C][C]647[/C][C]628.648201105941[/C][C]0.999466336125826[/C][C]15.3056019375845[/C][C]0.360524437139486[/C][/ROW]
[ROW][C]4[/C][C]580[/C][C]613.385539574209[/C][C]-0.249101846606678[/C][C]-28.9611012149357[/C][C]-0.526273130782507[/C][/ROW]
[ROW][C]5[/C][C]614[/C][C]610.236483094035[/C][C]-0.427846117979071[/C][C]4.71093268440618[/C][C]-0.107821018746853[/C][/ROW]
[ROW][C]6[/C][C]636[/C][C]617.732513953304[/C][C]-0.0513283752496408[/C][C]15.4154200013462[/C][C]0.315667117200098[/C][/ROW]
[ROW][C]7[/C][C]388[/C][C]546.585430367207[/C][C]-2.75846109123147[/C][C]-131.902292035632[/C][C]-2.91356333360034[/C][/ROW]
[ROW][C]8[/C][C]356[/C][C]466.57004743301[/C][C]-5.29342155448544[/C][C]-81.0841276039254[/C][C]-3.20006524017127[/C][/ROW]
[ROW][C]9[/C][C]639[/C][C]498.598495079391[/C][C]-4.16562499972719[/C][C]126.068947075042[/C][C]1.55147061089406[/C][/ROW]
[ROW][C]10[/C][C]753[/C][C]587.517423359305[/C][C]-1.46242717087671[/C][C]129.670340705299[/C][C]3.87266379145731[/C][/ROW]
[ROW][C]11[/C][C]611[/C][C]619.376424879424[/C][C]-0.512793109040225[/C][C]-21.1986328123163[/C][C]1.38606790653778[/C][/ROW]
[ROW][C]12[/C][C]639[/C][C]634.404394469669[/C][C]-0.0746658778742414[/C][C]-1.3829530083788[/C][C]0.646192003721311[/C][/ROW]
[ROW][C]13[/C][C]630[/C][C]637.441574441545[/C][C]-0.145902342459996[/C][C]-8.71908696216407[/C][C]0.143794742003424[/C][/ROW]
[ROW][C]14[/C][C]586[/C][C]625.134337920571[/C][C]-0.189400174969176[/C][C]-34.4647736226262[/C][C]-0.52332734584932[/C][/ROW]
[ROW][C]15[/C][C]695[/C][C]635.800992530542[/C][C]0.11771994180807[/C][C]55.5634416345758[/C][C]0.418181552681014[/C][/ROW]
[ROW][C]16[/C][C]552[/C][C]618.45173102732[/C][C]-0.548935575713281[/C][C]-60.8714438239431[/C][C]-0.655595327010974[/C][/ROW]
[ROW][C]17[/C][C]619[/C][C]606.021541917903[/C][C]-1.01167568647125[/C][C]16.8665133379006[/C][C]-0.457764247789411[/C][/ROW]
[ROW][C]18[/C][C]681[/C][C]600.357087840604[/C][C]-1.17779086999722[/C][C]82.2254016175526[/C][C]-0.185132367080547[/C][/ROW]
[ROW][C]19[/C][C]421[/C][C]572.290915543542[/C][C]-2.02748376981393[/C][C]-141.87928984216[/C][C]-1.09367031344713[/C][/ROW]
[ROW][C]20[/C][C]307[/C][C]523.447305824604[/C][C]-3.34309402321698[/C][C]-199.782492733297[/C][C]-1.92728426099601[/C][/ROW]
[ROW][C]21[/C][C]754[/C][C]561.716390101623[/C][C]-2.28411159145898[/C][C]177.339197340729[/C][C]1.72297257579309[/C][/ROW]
[ROW][C]22[/C][C]690[/C][C]577.533724459393[/C][C]-1.86451583314466[/C][C]105.935431697107[/C][C]0.751238066463147[/C][/ROW]
[ROW][C]23[/C][C]644[/C][C]610.477500489468[/C][C]-1.15266811430971[/C][C]20.9259839351577[/C][C]1.44576884957914[/C][/ROW]
[ROW][C]24[/C][C]643[/C][C]628.755812238723[/C][C]-0.837113659985623[/C][C]7.17969691853946[/C][C]0.809200690708658[/C][/ROW]
[ROW][C]25[/C][C]608[/C][C]627.403679631098[/C][C]-0.842091449320679[/C][C]-19.2138463019572[/C][C]-0.0217542197044055[/C][/ROW]
[ROW][C]26[/C][C]651[/C][C]644.221066272025[/C][C]-0.598379080893737[/C][C]0.376334916440151[/C][C]0.734642303727645[/C][/ROW]
[ROW][C]27[/C][C]691[/C][C]640.24841340272[/C][C]-0.671083712026675[/C][C]51.9264330766228[/C][C]-0.135794636901696[/C][/ROW]
[ROW][C]28[/C][C]627[/C][C]649.223506602987[/C][C]-0.408850126895306[/C][C]-25.4901616069353[/C][C]0.381002417826397[/C][/ROW]
[ROW][C]29[/C][C]634[/C][C]636.178235541398[/C][C]-0.782057220101294[/C][C]2.09146919273977[/C][C]-0.500310721184709[/C][/ROW]
[ROW][C]30[/C][C]731[/C][C]628.061253467058[/C][C]-0.997671621598992[/C][C]105.449070338435[/C][C]-0.294117414964036[/C][/ROW]
[ROW][C]31[/C][C]475[/C][C]617.245336056542[/C][C]-1.27163272768834[/C][C]-138.83319916355[/C][C]-0.398795255190011[/C][/ROW]
[ROW][C]32[/C][C]337[/C][C]601.207186066301[/C][C]-1.65411498775878[/C][C]-259.013972561836[/C][C]-0.605209716060285[/C][/ROW]
[ROW][C]33[/C][C]803[/C][C]611.301411514829[/C][C]-1.37440665647852[/C][C]187.53567528978[/C][C]0.483912792396615[/C][/ROW]
[ROW][C]34[/C][C]722[/C][C]623.379038449789[/C][C]-1.08231479577666[/C][C]93.8343101624944[/C][C]0.555294193381863[/C][/ROW]
[ROW][C]35[/C][C]590[/C][C]614.172295471856[/C][C]-1.24154180037755[/C][C]-21.2743005895631[/C][C]-0.335696117293448[/C][/ROW]
[ROW][C]36[/C][C]724[/C][C]643.492929639059[/C][C]-0.703050391388863[/C][C]69.5825025715409[/C][C]1.26440901480222[/C][/ROW]
[ROW][C]37[/C][C]627[/C][C]654.441299721752[/C][C]-0.510903346154514[/C][C]-31.6112364039023[/C][C]0.482508123064026[/C][/ROW]
[ROW][C]38[/C][C]696[/C][C]668.792385461114[/C][C]-0.244569054757817[/C][C]21.9276651578585[/C][C]0.611421992282634[/C][/ROW]
[ROW][C]39[/C][C]825[/C][C]703.973523628442[/C][C]0.494007349558294[/C][C]108.630742916926[/C][C]1.43940534387595[/C][/ROW]
[ROW][C]40[/C][C]677[/C][C]708.391993770023[/C][C]0.586600123213342[/C][C]-32.7472289212478[/C][C]0.157979752309502[/C][/ROW]
[ROW][C]41[/C][C]656[/C][C]690.434729445697[/C][C]0.118459942363158[/C][C]-28.0575756903566[/C][C]-0.745518642283325[/C][/ROW]
[ROW][C]42[/C][C]785[/C][C]680.261942139832[/C][C]-0.14587924070327[/C][C]108.291255453296[/C][C]-0.415743928687551[/C][/ROW]
[ROW][C]43[/C][C]412[/C][C]637.599577709034[/C][C]-1.21715400392714[/C][C]-210.81050624404[/C][C]-1.72909383552137[/C][/ROW]
[ROW][C]44[/C][C]352[/C][C]622.946807501739[/C][C]-1.54152590584859[/C][C]-266.24030437427[/C][C]-0.549434601839517[/C][/ROW]
[ROW][C]45[/C][C]839[/C][C]630.697598540949[/C][C]-1.32945784751415[/C][C]205.031043223916[/C][C]0.381285137019485[/C][/ROW]
[ROW][C]46[/C][C]729[/C][C]635.288206430698[/C][C]-1.2025118074759[/C][C]91.6215122687274[/C][C]0.243308311094852[/C][/ROW]
[ROW][C]47[/C][C]696[/C][C]668.654032456324[/C][C]-0.504752620831727[/C][C]15.1207528748657[/C][C]1.42177462632016[/C][/ROW]
[ROW][C]48[/C][C]641[/C][C]652.478215880718[/C][C]-0.806807605791599[/C][C]-5.93158646171911[/C][C]-0.644783629498079[/C][/ROW]
[ROW][C]49[/C][C]695[/C][C]676.523623006383[/C][C]-0.33400912764453[/C][C]9.68547341963133[/C][C]1.0218455407762[/C][/ROW]
[ROW][C]50[/C][C]638[/C][C]670.198179368937[/C][C]-0.451972401708923[/C][C]-30.0869168081069[/C][C]-0.245519770577[/C][/ROW]
[ROW][C]51[/C][C]762[/C][C]661.109950086158[/C][C]-0.633085314269938[/C][C]103.913077719923[/C][C]-0.351980343407318[/C][/ROW]
[ROW][C]52[/C][C]635[/C][C]653.866545840723[/C][C]-0.780557344553721[/C][C]-16.567149509839[/C][C]-0.268195473357659[/C][/ROW]
[ROW][C]53[/C][C]721[/C][C]673.915223041134[/C][C]-0.296010175357923[/C][C]39.8596223988248[/C][C]0.844006197175531[/C][/ROW]
[ROW][C]54[/C][C]854[/C][C]690.693301440947[/C][C]0.10785023572492[/C][C]157.377216195404[/C][C]0.693133463438753[/C][/ROW]
[ROW][C]55[/C][C]418[/C][C]674.955466854181[/C][C]-0.264734425015366[/C][C]-251.433275154338[/C][C]-0.645399469533269[/C][/ROW]
[ROW][C]56[/C][C]367[/C][C]662.479184214398[/C][C]-0.54539797354472[/C][C]-291.207101633547[/C][C]-0.498919998501138[/C][/ROW]
[ROW][C]57[/C][C]824[/C][C]650.588054486417[/C][C]-0.797670462590824[/C][C]177.392952047143[/C][C]-0.46450523414113[/C][/ROW]
[ROW][C]58[/C][C]687[/C][C]637.393897664488[/C][C]-1.0633660662156[/C][C]53.9638611840153[/C][C]-0.508073264365704[/C][/ROW]
[ROW][C]59[/C][C]601[/C][C]617.29952086335[/C][C]-1.45792917364043[/C][C]-9.60283847068743[/C][C]-0.780374127471211[/C][/ROW]
[ROW][C]60[/C][C]676[/C][C]635.343589485405[/C][C]-1.06240087111219[/C][C]33.7916529509928[/C][C]0.79976246114784[/C][/ROW]
[ROW][C]61[/C][C]740[/C][C]665.470406259485[/C][C]-0.432328578644345[/C][C]63.5573013785519[/C][C]1.27826816074499[/C][/ROW]
[ROW][C]62[/C][C]691[/C][C]687.54146684647[/C][C]0.0296297431308142[/C][C]-4.44230654064532[/C][C]0.920668314341161[/C][/ROW]
[ROW][C]63[/C][C]683[/C][C]661.202276681714[/C][C]-0.527719107682779[/C][C]31.0264251985477[/C][C]-1.07603310635026[/C][/ROW]
[ROW][C]64[/C][C]594[/C][C]644.501552718188[/C][C]-0.880344883987069[/C][C]-44.8586023366452[/C][C]-0.658497597887056[/C][/ROW]
[ROW][C]65[/C][C]729[/C][C]654.712084296939[/C][C]-0.632765359986327[/C][C]70.4244181918386[/C][C]0.451198494901602[/C][/ROW]
[ROW][C]66[/C][C]731[/C][C]627.325692471352[/C][C]-1.2368120893582[/C][C]112.996672717601[/C][C]-1.08917660321024[/C][/ROW]
[ROW][C]67[/C][C]386[/C][C]619.273692464312[/C][C]-1.39049373996767[/C][C]-230.895031260805[/C][C]-0.277903496593212[/C][/ROW]
[ROW][C]68[/C][C]331[/C][C]614.036701056202[/C][C]-1.47623120740319[/C][C]-281.691470347124[/C][C]-0.157109273965743[/C][/ROW]
[ROW][C]69[/C][C]706[/C][C]583.909138566022[/C][C]-2.10333838428371[/C][C]132.127935018334[/C][C]-1.17165865249605[/C][/ROW]
[ROW][C]70[/C][C]715[/C][C]598.663390293011[/C][C]-1.74181186075428[/C][C]110.42456036544[/C][C]0.689833203608197[/C][/ROW]
[ROW][C]71[/C][C]657[/C][C]628.895851753949[/C][C]-1.06828529839903[/C][C]16.8838682928556[/C][C]1.30882922794767[/C][/ROW]
[ROW][C]72[/C][C]653[/C][C]639.439201091953[/C][C]-0.826435726788948[/C][C]9.48540029628573[/C][C]0.475320399090417[/C][/ROW]
[ROW][C]73[/C][C]642[/C][C]624.441655426451[/C][C]-1.12104862137869[/C][C]22.530263267343[/C][C]-0.579874284458086[/C][/ROW]
[ROW][C]74[/C][C]643[/C][C]620.246811243951[/C][C]-1.18544573332626[/C][C]23.8305097295595[/C][C]-0.125663826139505[/C][/ROW]
[ROW][C]75[/C][C]718[/C][C]635.046106669502[/C][C]-0.845775274770918[/C][C]77.3602193179393[/C][C]0.652662697891046[/C][/ROW]
[ROW][C]76[/C][C]654[/C][C]656.256875744709[/C][C]-0.36962609062678[/C][C]-9.96344337583193[/C][C]0.899561807409983[/C][/ROW]
[ROW][C]77[/C][C]632[/C][C]626.010885581572[/C][C]-1.02288118869385[/C][C]16.4186812379583[/C][C]-1.21789348815966[/C][/ROW]
[ROW][C]78[/C][C]731[/C][C]613.722704766505[/C][C]-1.27090266690558[/C][C]121.210067245811[/C][C]-0.459352572708449[/C][/ROW]
[ROW][C]79[/C][C]392[/C][C]610.96516668062[/C][C]-1.3036378998386[/C][C]-218.445776893367[/C][C]-0.0606662760049782[/C][/ROW]
[ROW][C]80[/C][C]344[/C][C]611.548815127985[/C][C]-1.26231857082814[/C][C]-268.208868108532[/C][C]0.0770830069199614[/C][/ROW]
[ROW][C]81[/C][C]792[/C][C]632.309863378261[/C][C]-0.784782253725467[/C][C]151.980633935689[/C][C]0.900111016220085[/C][/ROW]
[ROW][C]82[/C][C]852[/C][C]676.365287078186[/C][C]0.176879494562883[/C][C]159.927919936555[/C][C]1.83338754344646[/C][/ROW]
[ROW][C]83[/C][C]649[/C][C]674.520662824492[/C][C]0.133940806177691[/C][C]-24.8123124346421[/C][C]-0.0826690225568126[/C][/ROW]
[ROW][C]84[/C][C]629[/C][C]655.342245884328[/C][C]-0.273810360407432[/C][C]-19.5743946663459[/C][C]-0.789783983249319[/C][/ROW]
[ROW][C]85[/C][C]685[/C][C]654.143068301728[/C][C]-0.293326203192885[/C][C]31.1811550048487[/C][C]-0.037835257187956[/C][/ROW]
[ROW][C]86[/C][C]617[/C][C]639.382789388497[/C][C]-0.599561448532739[/C][C]-17.3166664342389[/C][C]-0.591229892137465[/C][/ROW]
[ROW][C]87[/C][C]715[/C][C]636.356519127067[/C][C]-0.65129287021934[/C][C]79.4926134371713[/C][C]-0.0991105159246446[/C][/ROW]
[ROW][C]88[/C][C]715[/C][C]655.025152753299[/C][C]-0.236094843554531[/C][C]53.2198674203438[/C][C]0.78860138638812[/C][/ROW]
[ROW][C]89[/C][C]629[/C][C]644.967688694789[/C][C]-0.448610215257918[/C][C]-12.5354106080087[/C][C]-0.400778527673236[/C][/ROW]
[ROW][C]90[/C][C]916[/C][C]688.870761344867[/C][C]0.514878978508664[/C][C]211.630022481065[/C][C]1.81004159197182[/C][/ROW]
[ROW][C]91[/C][C]531[/C][C]721.553395420911[/C][C]1.21398749438461[/C][C]-201.798833591125[/C][C]1.31329848607158[/C][/ROW]
[ROW][C]92[/C][C]357[/C][C]708.97851781235[/C][C]0.915148712586352[/C][C]-347.155542033324[/C][C]-0.563206040190319[/C][/ROW]
[ROW][C]93[/C][C]917[/C][C]730.996547577664[/C][C]1.37021197076843[/C][C]178.618543629576[/C][C]0.86226495431942[/C][/ROW]
[ROW][C]94[/C][C]828[/C][C]715.292059085185[/C][C]1.00414917972807[/C][C]118.685351591142[/C][C]-0.697835704692295[/C][/ROW]
[ROW][C]95[/C][C]708[/C][C]712.831320199232[/C][C]0.930247161802907[/C][C]-3.61810291723971[/C][C]-0.141624435788432[/C][/ROW]
[ROW][C]96[/C][C]858[/C][C]760.682822508446[/C][C]1.92775916985921[/C][C]80.8869165410498[/C][C]1.91788366022479[/C][/ROW]
[ROW][C]97[/C][C]775[/C][C]765.520877856845[/C][C]1.98958496554926[/C][C]8.46013643053275[/C][C]0.11894384303206[/C][/ROW]
[ROW][C]98[/C][C]785[/C][C]780.547192793216[/C][C]2.26702260902034[/C][C]-0.11051614118867[/C][C]0.532683392293619[/C][/ROW]
[ROW][C]99[/C][C]1006[/C][C]834.14449244779[/C][C]3.36325438288747[/C][C]153.895211785621[/C][C]2.09668663215774[/C][/ROW]
[ROW][C]100[/C][C]789[/C][C]822.193673457439[/C][C]3.03483498537338[/C][C]-27.8374728032255[/C][C]-0.625348307475803[/C][/ROW]
[ROW][C]101[/C][C]734[/C][C]809.931457626612[/C][C]2.70558671281973[/C][C]-70.5825882634488[/C][C]-0.624557680848542[/C][/ROW]
[ROW][C]102[/C][C]906[/C][C]779.751047281809[/C][C]1.99619074408548[/C][C]137.747713008285[/C][C]-1.34274054734612[/C][/ROW]
[ROW][C]103[/C][C]532[/C][C]758.950144906247[/C][C]1.50423596804659[/C][C]-218.977682123251[/C][C]-0.930979104526215[/C][/ROW]
[ROW][C]104[/C][C]387[/C][C]751.106471314647[/C][C]1.302782322357[/C][C]-360.836493246187[/C][C]-0.38183522712832[/C][/ROW]
[ROW][C]105[/C][C]991[/C][C]766.969761872414[/C][C]1.61576347266501[/C][C]218.935491166874[/C][C]0.594873902731027[/C][/ROW]
[ROW][C]106[/C][C]841[/C][C]762.711010057843[/C][C]1.48987505444834[/C][C]80.3449055330673[/C][C]-0.240036878710386[/C][/ROW]
[ROW][C]107[/C][C]892[/C][C]813.279755870179[/C][C]2.53873218173628[/C][C]61.5419835704462[/C][C]2.00553104521738[/C][/ROW]
[ROW][C]108[/C][C]782[/C][C]796.160619934685[/C][C]2.11937544288878[/C][C]-7.27985361224602[/C][C]-0.803293655142661[/C][/ROW]
[ROW][C]109[/C][C]811[/C][C]801.294300575082[/C][C]2.18364868898058[/C][C]8.65066701173643[/C][C]0.123168731334578[/C][/ROW]
[ROW][C]110[/C][C]792[/C][C]808.075299685778[/C][C]2.28175794897507[/C][C]-17.6841882040356[/C][C]0.18783108776674[/C][/ROW]
[ROW][C]111[/C][C]978[/C][C]808.92715665102[/C][C]2.25118919043663[/C][C]169.573150158297[/C][C]-0.0584109390440604[/C][/ROW]
[ROW][C]112[/C][C]773[/C][C]800.40076599423[/C][C]2.02028773230612[/C][C]-23.630584557524[/C][C]-0.440192811514697[/C][/ROW]
[ROW][C]113[/C][C]796[/C][C]810.270217654754[/C][C]2.18877398799499[/C][C]-17.015610575961[/C][C]0.320559452573175[/C][/ROW]
[ROW][C]114[/C][C]946[/C][C]808.363187670762[/C][C]2.1007479327505[/C][C]139.069359276506[/C][C]-0.167274300831065[/C][/ROW]
[ROW][C]115[/C][C]594[/C][C]810.384749583394[/C][C]2.09904561030749[/C][C]-216.357051337712[/C][C]-0.00323427436621745[/C][/ROW]
[ROW][C]116[/C][C]438[/C][C]812.621425164209[/C][C]2.10200244814476[/C][C]-374.669572928742[/C][C]0.00562203019148305[/C][/ROW]
[ROW][C]117[/C][C]1023[/C][C]814.35524021783[/C][C]2.09410271312608[/C][C]208.773582762748[/C][C]-0.0150416600611853[/C][/ROW]
[ROW][C]118[/C][C]868[/C][C]815.96753560489[/C][C]2.08378168253046[/C][C]52.2010598305787[/C][C]-0.0196848707480036[/C][/ROW]
[ROW][C]119[/C][C]791[/C][C]787.920710818379[/C][C]1.43928086404733[/C][C]13.6233897123439[/C][C]-1.23107331809738[/C][/ROW]
[ROW][C]120[/C][C]760[/C][C]776.855507228004[/C][C]1.17206759411666[/C][C]-12.4795083928798[/C][C]-0.510909865194458[/C][/ROW]
[ROW][C]121[/C][C]779[/C][C]773.440459891133[/C][C]1.07407281899825[/C][C]7.16478205659046[/C][C]-0.187415551024846[/C][/ROW]
[ROW][C]122[/C][C]852[/C][C]800.906067884736[/C][C]1.63809247834699[/C][C]41.8589729740786[/C][C]1.07821007328533[/C][/ROW]
[ROW][C]123[/C][C]1001[/C][C]815.506435075166[/C][C]1.9153587593843[/C][C]180.958257752034[/C][C]0.529521171961031[/C][/ROW]
[ROW][C]124[/C][C]734[/C][C]803.564456049386[/C][C]1.61861783595938[/C][C]-64.7164951252389[/C][C]-0.566040387021278[/C][/ROW]
[ROW][C]125[/C][C]996[/C][C]863.139582892149[/C][C]2.86096055281431[/C][C]112.585946650584[/C][C]2.36728143742717[/C][/ROW]
[ROW][C]126[/C][C]869[/C][C]838.008432751497[/C][C]2.26052619963264[/C][C]40.7836509067841[/C][C]-1.14336303131602[/C][/ROW]
[ROW][C]127[/C][C]599[/C][C]825.696704700196[/C][C]1.94789208426984[/C][C]-221.598914305463[/C][C]-0.595242112218979[/C][/ROW]
[ROW][C]128[/C][C]426[/C][C]814.664410430026[/C][C]1.66949859763102[/C][C]-384.123257702576[/C][C]-0.530242233624219[/C][/ROW]
[ROW][C]129[/C][C]1138[/C][C]843.766961059188[/C][C]2.25747827625132[/C][C]284.634798905439[/C][C]1.12070791619668[/C][/ROW]
[ROW][C]130[/C][C]1091[/C][C]902.915690960038[/C][C]3.47582884445332[/C][C]168.17807193914[/C][C]2.32424421543855[/C][/ROW]
[ROW][C]131[/C][C]830[/C][C]890.712997929908[/C][C]3.14032670222056[/C][C]-55.2268777807483[/C][C]-0.640547210461122[/C][/ROW]
[ROW][C]132[/C][C]909[/C][C]900.756482804862[/C][C]3.28796766595387[/C][C]5.82797860550301[/C][C]0.282030228434567[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=187423&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=187423&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
1617617000
2614616.06229718742-0.0182618229066778-1.59963031932756-0.0444630198027383
3647628.6482011059410.99946633612582615.30560193758450.360524437139486
4580613.385539574209-0.249101846606678-28.9611012149357-0.526273130782507
5614610.236483094035-0.4278461179790714.71093268440618-0.107821018746853
6636617.732513953304-0.051328375249640815.41542000134620.315667117200098
7388546.585430367207-2.75846109123147-131.902292035632-2.91356333360034
8356466.57004743301-5.29342155448544-81.0841276039254-3.20006524017127
9639498.598495079391-4.16562499972719126.0689470750421.55147061089406
10753587.517423359305-1.46242717087671129.6703407052993.87266379145731
11611619.376424879424-0.512793109040225-21.19863281231631.38606790653778
12639634.404394469669-0.0746658778742414-1.38295300837880.646192003721311
13630637.441574441545-0.145902342459996-8.719086962164070.143794742003424
14586625.134337920571-0.189400174969176-34.4647736226262-0.52332734584932
15695635.8009925305420.1177199418080755.56344163457580.418181552681014
16552618.45173102732-0.548935575713281-60.8714438239431-0.655595327010974
17619606.021541917903-1.0116756864712516.8665133379006-0.457764247789411
18681600.357087840604-1.1777908699972282.2254016175526-0.185132367080547
19421572.290915543542-2.02748376981393-141.87928984216-1.09367031344713
20307523.447305824604-3.34309402321698-199.782492733297-1.92728426099601
21754561.716390101623-2.28411159145898177.3391973407291.72297257579309
22690577.533724459393-1.86451583314466105.9354316971070.751238066463147
23644610.477500489468-1.1526681143097120.92598393515771.44576884957914
24643628.755812238723-0.8371136599856237.179696918539460.809200690708658
25608627.403679631098-0.842091449320679-19.2138463019572-0.0217542197044055
26651644.221066272025-0.5983790808937370.3763349164401510.734642303727645
27691640.24841340272-0.67108371202667551.9264330766228-0.135794636901696
28627649.223506602987-0.408850126895306-25.49016160693530.381002417826397
29634636.178235541398-0.7820572201012942.09146919273977-0.500310721184709
30731628.061253467058-0.997671621598992105.449070338435-0.294117414964036
31475617.245336056542-1.27163272768834-138.83319916355-0.398795255190011
32337601.207186066301-1.65411498775878-259.013972561836-0.605209716060285
33803611.301411514829-1.37440665647852187.535675289780.483912792396615
34722623.379038449789-1.0823147957766693.83431016249440.555294193381863
35590614.172295471856-1.24154180037755-21.2743005895631-0.335696117293448
36724643.492929639059-0.70305039138886369.58250257154091.26440901480222
37627654.441299721752-0.510903346154514-31.61123640390230.482508123064026
38696668.792385461114-0.24456905475781721.92766515785850.611421992282634
39825703.9735236284420.494007349558294108.6307429169261.43940534387595
40677708.3919937700230.586600123213342-32.74722892124780.157979752309502
41656690.4347294456970.118459942363158-28.0575756903566-0.745518642283325
42785680.261942139832-0.14587924070327108.291255453296-0.415743928687551
43412637.599577709034-1.21715400392714-210.81050624404-1.72909383552137
44352622.946807501739-1.54152590584859-266.24030437427-0.549434601839517
45839630.697598540949-1.32945784751415205.0310432239160.381285137019485
46729635.288206430698-1.202511807475991.62151226872740.243308311094852
47696668.654032456324-0.50475262083172715.12075287486571.42177462632016
48641652.478215880718-0.806807605791599-5.93158646171911-0.644783629498079
49695676.523623006383-0.334009127644539.685473419631331.0218455407762
50638670.198179368937-0.451972401708923-30.0869168081069-0.245519770577
51762661.109950086158-0.633085314269938103.913077719923-0.351980343407318
52635653.866545840723-0.780557344553721-16.567149509839-0.268195473357659
53721673.915223041134-0.29601017535792339.85962239882480.844006197175531
54854690.6933014409470.10785023572492157.3772161954040.693133463438753
55418674.955466854181-0.264734425015366-251.433275154338-0.645399469533269
56367662.479184214398-0.54539797354472-291.207101633547-0.498919998501138
57824650.588054486417-0.797670462590824177.392952047143-0.46450523414113
58687637.393897664488-1.063366066215653.9638611840153-0.508073264365704
59601617.29952086335-1.45792917364043-9.60283847068743-0.780374127471211
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Parameters (Session):
par1 = 12 ;
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')