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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 computationTue, 06 Dec 2011 09:40:09 -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/06/t13231824401r6yiln5j3cy8m8.htm/, Retrieved Sun, 28 Apr 2024 22:50:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=151629, Retrieved Sun, 28 Apr 2024 22:50:54 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact116
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




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=151629&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]4 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=151629&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=151629&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 time4 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Structural Time Series Model
tObservedLevelSlopeSeasonalStand. Residuals
1617617000
2614616.3969487326010.00890096864893301-1.891027350527-0.0478157372022405
3647627.1902431577950.98879937166771716.49889642870480.382687229398689
4580614.287443148953-0.285014674369316-30.1047759730002-0.509321993981433
5614611.052513207032-0.5171880836390744.01836929610002-0.125858378781982
6636617.095805249424-0.096893808402744816.18235252238940.309684842310729
7388556.688372454532-3.25890144376803-141.807181140932-3.00047629060688
8356484.168635668645-6.34923320265839-96.1860756932912-3.5336406521513
9639501.730933047395-5.39618671692589126.0394502723111.23422113670108
10753572.877842257336-2.55713008745794143.8933776830073.97125712311492
11611604.928226478024-1.32930621637036-10.36530144233451.7993577757283
12639623.869406826468-0.6305634469521065.488503787597461.05477702174818
13630630.227957009343-0.735261174720945-3.830879549825160.406114330056758
14586622.333120717455-0.772652073471867-32.8600901381475-0.391537436587837
15695631.271094180582-0.49345677092253759.60269603060920.475572215608298
16552617.469921422483-1.02893506409475-60.178976522652-0.623305304405177
17619605.959756167769-1.4808061465419317.225876875216-0.496596256418881
18681600.514123624059-1.6451534764179782.121535601141-0.193503833455735
19421578.809469677255-2.40793386360839-149.261998295292-1.00540932848966
20307538.275197147396-3.7189679603951-214.643278985922-1.94607281010152
21754564.929038195097-2.77412246155011175.6209828300041.56734874434369
22690574.695107710029-2.42181274490761109.7002246247380.651027554615342
23644600.822188820922-1.7128795875840630.33802378330781.4872360669258
24643617.896973213422-1.326323886772316.59646022122650.982912835246338
25608619.547624844118-1.28311665010783-12.91405374983830.157776553581981
26651635.459325224944-0.991225742067087.752093186740660.900349344795639
27691634.395520823291-0.99290459343052956.6362310909283-0.00369172551485322
28627643.501262093642-0.706503154503003-20.79335961697150.502901601247424
29634634.86330463356-0.9537497812775412.47674078398756-0.393398703641176
30731629.622652108229-1.09007578366578103.194432087379-0.214324542999388
31475622.756050427791-1.26892259476824-145.275710478281-0.292197917486537
32337610.660231483562-1.58637658914867-268.952011920509-0.553355122994409
33803616.649766676177-1.37937745859655183.0235189409580.390011587357417
34722624.075948221698-1.1575052026723394.03183200433680.455304881421709
35590614.189819336165-1.3588353179437-20.3148191596394-0.452515251056171
36724636.349784302915-0.86192928687188177.17655579414371.22173670849044
37627646.455731141829-0.643500528079492-24.3473516546750.570315950983073
38696659.877515841653-0.35325953519623529.88359545630890.727765939220656
39825691.5716178437790.373423025537755119.3810496615171.64186871172429
40677699.8105304885540.568995157869173-26.21788708708090.399418529290393
41656689.0148616603190.268732304605766-28.1210227508812-0.575120311520569
42785682.8042062570910.0931880537620652104.987924410301-0.328536257971555
43412648.711879263477-0.828645465048698-221.907732692298-1.74176754121474
44352634.70362683184-1.17473993777091-276.961156435124-0.674976305704194
45839638.039638391325-1.06101759367494198.9844648139810.231950298533754
46729639.380513400531-1.0033042649793288.56326472809330.12383901198177
47696665.295841033245-0.38687600480013118.8367368837351.39013304852739
48641651.819263132602-0.675218594038216-5.04038640399405-0.676545743731482
49695670.319478108813-0.26020192307351116.21557444118490.990801527802938
50638665.389409143113-0.36258189017876-25.3331312126518-0.240739837222771
51762657.294380763797-0.538188223089132108.094394177333-0.397055699222239
52635651.13078541884-0.671219416974191-13.6776324998709-0.287771542225097
53721668.78583262851-0.22379847425131744.24677868757010.93570223097239
54854686.3201893689490.217124722183577159.9617796563230.907050019193713
55418678.0736838876810.00672973108188715-256.388380943118-0.433153105252573
56367669.552100742591-0.20275529662311-298.828182170128-0.437525965667165
57824658.836298315134-0.455622554619185169.766769853424-0.540485167194174
58687645.244652197097-0.76368384980893447.5190162505574-0.676339655547964
59601624.541961778014-1.22000669844807-14.7811404587534-1.02754087691151
60676635.390232881339-0.94880109675948835.30352894380550.622172317079824
61740658.548853215149-0.41111294359285770.85298777640491.24253267435881
62691678.1489224104640.03741385871480924.063994982443451.03030995753339
63683658.849470280066-0.4023094077560632.6243754546827-0.993915817436151
64594645.011463258622-0.713389929686892-45.1364106211146-0.689446747515643
65729652.556970942269-0.51915592659889372.83698740911470.423393794567555
66731630.578585419439-1.02861777507381109.78793670886-1.10013191759581
67386623.690526217857-1.16798317756228-235.131198994969-0.30062963145936
68331619.234799318318-1.24578102221594-286.796934974138-0.168872965174067
69706593.628522452172-1.8163759182738123.039563781353-1.25257958389931
70715603.142471643723-1.55431091765223106.8902405194210.58304835257454
71657627.068634670337-0.97204969664432918.75223094092451.31185084565462
72653635.849959399351-0.75114781026705512.86935668622220.502250181709027
73642622.789793944422-1.0288732563304124.6121911279761-0.633773365128728
74643617.574805413057-1.1234911709078627.2613602603735-0.215432445722073
75718629.489808993336-0.82697111277287282.79618461011530.670507476225659
76654648.607118256558-0.36970969291511-3.339022589603731.02486973762547
77632626.083745781222-0.88143838683114915.608611994365-1.13786608711072
78731616.355660382818-1.08678884008922118.513957161156-0.454363881296937
79392614.178565361593-1.11213131856399-221.701527325656-0.0560161946260732
80344615.109949159825-1.06473475505882-272.0045485580290.105042464596498
81792633.140521556858-0.623962171472875150.4946534049850.982058119237524
82852670.840689035770.255276391268461164.3618333477321.97178615359184
83649671.7501633852910.27019631271364-23.03701057764450.0336675238157037
84629656.296494317658-0.086826917573852-20.4006774519593-0.809300247597123
85685653.956676017864-0.13787907378852732.0313722968662-0.115954314634382
86617640.418173632288-0.441701783390005-17.5427119445219-0.689537008876856
87715635.891177447453-0.53456791047963680.8992928634637-0.210140917687362
88715650.40038193176-0.1913404251149458.00926817683610.773562186664446
89629644.190666570959-0.32913763481526-12.5550320216268-0.309398759602097
90916682.420426196190.555871017528162216.6955284862351.98219008580916
91531714.3843899171271.27733897291719-197.1386242021371.61480134695767
92357709.0721758086541.12610511911945-349.185748819648-0.338870856568365
93917728.7622983392691.55121623301393180.1035998687150.954900475007578
94828716.7041671447781.24047453162402117.260626367323-0.700185467991448
95708713.9261517657181.14898544999-4.16454604836011-0.206775382576611
96858753.4147350589632.0199388688901687.77636010881791.97292428250352
97775760.6695702934832.1387284474261712.0353362997540.269378334125676
98785775.7845478170522.433218006135673.526959311734050.667669645661045
991006823.1809443129633.45477034038179163.1117475520072.31315058939381
100789818.7047252625743.27428187951039-26.2292848939256-0.407949027305529
101734811.4085193233283.03332576967954-72.777161323887-0.543658038237308
102906786.4999032803092.39562034203717131.741770434519-1.43706067323715
103532767.0435488590951.89667799498837-225.46961278102-1.12391175036914
104387758.2650474476651.65302033209761-366.587439083686-0.549113734761044
105991769.3523420453151.86813573176179217.5131860357590.485341329755778
106841765.9003933016261.7469979837501877.431397184117-0.273717249559393
107892807.5886733592812.6551804602704166.9032722369062.05511868752737
108782795.7040206863642.32493928248099-7.33019581179452-0.748151024725141
109811800.1159600634952.372312975658779.969156531463550.107386581560853
110792805.7189332570022.44564568899636-15.1351043496320.166226549711124
111978806.1539812748692.39998602408205172.727300476326-0.103443856329518
112773799.7826791242932.20064649229407-22.9384193335597-0.451243979763858
113796808.7759329678672.35513726672981-15.75275677214480.34943119055041
114946809.277980456162.31296621707854137.534097875067-0.0953266757550031
115594812.5466377266632.33472024336827-218.9654548378990.0491637223581623
116438815.4844375398662.34844595498619-377.7487412278540.0310257634298077
1171023817.1487214367742.33288210859006206.151137627275-0.0351990909533197
118868818.332534168632.3067593369146450.1711213131559-0.0591208908002539
119791793.7590229700511.696083074791049.0236476482974-1.38307096371418
120760781.8846730091571.38795466238606-15.9360412844368-0.698252925244049
121779776.3408574660411.230612616721135.69771812721296-0.356667091303312
122852797.1983406965471.676096030788346.19827862772651.00986194939656
1231001810.2769645935161.9349548363357185.7249498617480.586676627365458
124734802.4610811722151.71351936507933-64.1871643782699-0.501678056263236
125996852.937347469232.8212873761533121.6900785344232.50876743048148
126869837.27114391592.4011810710123639.8317270824654-0.951144011058335
127599828.5327719155012.14801668354301-224.650404355088-0.573112339381727
128426819.1816582497531.88669505478303-388.141579195354-0.591624722927034
1291138842.3328708950722.36983533521371286.3465740993261.09407861571289

\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 & 616.396948732601 & 0.00890096864893301 & -1.891027350527 & -0.0478157372022405 \tabularnewline
3 & 647 & 627.190243157795 & 0.988799371667717 & 16.4988964287048 & 0.382687229398689 \tabularnewline
4 & 580 & 614.287443148953 & -0.285014674369316 & -30.1047759730002 & -0.509321993981433 \tabularnewline
5 & 614 & 611.052513207032 & -0.517188083639074 & 4.01836929610002 & -0.125858378781982 \tabularnewline
6 & 636 & 617.095805249424 & -0.0968938084027448 & 16.1823525223894 & 0.309684842310729 \tabularnewline
7 & 388 & 556.688372454532 & -3.25890144376803 & -141.807181140932 & -3.00047629060688 \tabularnewline
8 & 356 & 484.168635668645 & -6.34923320265839 & -96.1860756932912 & -3.5336406521513 \tabularnewline
9 & 639 & 501.730933047395 & -5.39618671692589 & 126.039450272311 & 1.23422113670108 \tabularnewline
10 & 753 & 572.877842257336 & -2.55713008745794 & 143.893377683007 & 3.97125712311492 \tabularnewline
11 & 611 & 604.928226478024 & -1.32930621637036 & -10.3653014423345 & 1.7993577757283 \tabularnewline
12 & 639 & 623.869406826468 & -0.630563446952106 & 5.48850378759746 & 1.05477702174818 \tabularnewline
13 & 630 & 630.227957009343 & -0.735261174720945 & -3.83087954982516 & 0.406114330056758 \tabularnewline
14 & 586 & 622.333120717455 & -0.772652073471867 & -32.8600901381475 & -0.391537436587837 \tabularnewline
15 & 695 & 631.271094180582 & -0.493456770922537 & 59.6026960306092 & 0.475572215608298 \tabularnewline
16 & 552 & 617.469921422483 & -1.02893506409475 & -60.178976522652 & -0.623305304405177 \tabularnewline
17 & 619 & 605.959756167769 & -1.48080614654193 & 17.225876875216 & -0.496596256418881 \tabularnewline
18 & 681 & 600.514123624059 & -1.64515347641797 & 82.121535601141 & -0.193503833455735 \tabularnewline
19 & 421 & 578.809469677255 & -2.40793386360839 & -149.261998295292 & -1.00540932848966 \tabularnewline
20 & 307 & 538.275197147396 & -3.7189679603951 & -214.643278985922 & -1.94607281010152 \tabularnewline
21 & 754 & 564.929038195097 & -2.77412246155011 & 175.620982830004 & 1.56734874434369 \tabularnewline
22 & 690 & 574.695107710029 & -2.42181274490761 & 109.700224624738 & 0.651027554615342 \tabularnewline
23 & 644 & 600.822188820922 & -1.71287958758406 & 30.3380237833078 & 1.4872360669258 \tabularnewline
24 & 643 & 617.896973213422 & -1.3263238867723 & 16.5964602212265 & 0.982912835246338 \tabularnewline
25 & 608 & 619.547624844118 & -1.28311665010783 & -12.9140537498383 & 0.157776553581981 \tabularnewline
26 & 651 & 635.459325224944 & -0.99122574206708 & 7.75209318674066 & 0.900349344795639 \tabularnewline
27 & 691 & 634.395520823291 & -0.992904593430529 & 56.6362310909283 & -0.00369172551485322 \tabularnewline
28 & 627 & 643.501262093642 & -0.706503154503003 & -20.7933596169715 & 0.502901601247424 \tabularnewline
29 & 634 & 634.86330463356 & -0.953749781277541 & 2.47674078398756 & -0.393398703641176 \tabularnewline
30 & 731 & 629.622652108229 & -1.09007578366578 & 103.194432087379 & -0.214324542999388 \tabularnewline
31 & 475 & 622.756050427791 & -1.26892259476824 & -145.275710478281 & -0.292197917486537 \tabularnewline
32 & 337 & 610.660231483562 & -1.58637658914867 & -268.952011920509 & -0.553355122994409 \tabularnewline
33 & 803 & 616.649766676177 & -1.37937745859655 & 183.023518940958 & 0.390011587357417 \tabularnewline
34 & 722 & 624.075948221698 & -1.15750520267233 & 94.0318320043368 & 0.455304881421709 \tabularnewline
35 & 590 & 614.189819336165 & -1.3588353179437 & -20.3148191596394 & -0.452515251056171 \tabularnewline
36 & 724 & 636.349784302915 & -0.861929286871881 & 77.1765557941437 & 1.22173670849044 \tabularnewline
37 & 627 & 646.455731141829 & -0.643500528079492 & -24.347351654675 & 0.570315950983073 \tabularnewline
38 & 696 & 659.877515841653 & -0.353259535196235 & 29.8835954563089 & 0.727765939220656 \tabularnewline
39 & 825 & 691.571617843779 & 0.373423025537755 & 119.381049661517 & 1.64186871172429 \tabularnewline
40 & 677 & 699.810530488554 & 0.568995157869173 & -26.2178870870809 & 0.399418529290393 \tabularnewline
41 & 656 & 689.014861660319 & 0.268732304605766 & -28.1210227508812 & -0.575120311520569 \tabularnewline
42 & 785 & 682.804206257091 & 0.0931880537620652 & 104.987924410301 & -0.328536257971555 \tabularnewline
43 & 412 & 648.711879263477 & -0.828645465048698 & -221.907732692298 & -1.74176754121474 \tabularnewline
44 & 352 & 634.70362683184 & -1.17473993777091 & -276.961156435124 & -0.674976305704194 \tabularnewline
45 & 839 & 638.039638391325 & -1.06101759367494 & 198.984464813981 & 0.231950298533754 \tabularnewline
46 & 729 & 639.380513400531 & -1.00330426497932 & 88.5632647280933 & 0.12383901198177 \tabularnewline
47 & 696 & 665.295841033245 & -0.386876004800131 & 18.836736883735 & 1.39013304852739 \tabularnewline
48 & 641 & 651.819263132602 & -0.675218594038216 & -5.04038640399405 & -0.676545743731482 \tabularnewline
49 & 695 & 670.319478108813 & -0.260201923073511 & 16.2155744411849 & 0.990801527802938 \tabularnewline
50 & 638 & 665.389409143113 & -0.36258189017876 & -25.3331312126518 & -0.240739837222771 \tabularnewline
51 & 762 & 657.294380763797 & -0.538188223089132 & 108.094394177333 & -0.397055699222239 \tabularnewline
52 & 635 & 651.13078541884 & -0.671219416974191 & -13.6776324998709 & -0.287771542225097 \tabularnewline
53 & 721 & 668.78583262851 & -0.223798474251317 & 44.2467786875701 & 0.93570223097239 \tabularnewline
54 & 854 & 686.320189368949 & 0.217124722183577 & 159.961779656323 & 0.907050019193713 \tabularnewline
55 & 418 & 678.073683887681 & 0.00672973108188715 & -256.388380943118 & -0.433153105252573 \tabularnewline
56 & 367 & 669.552100742591 & -0.20275529662311 & -298.828182170128 & -0.437525965667165 \tabularnewline
57 & 824 & 658.836298315134 & -0.455622554619185 & 169.766769853424 & -0.540485167194174 \tabularnewline
58 & 687 & 645.244652197097 & -0.763683849808934 & 47.5190162505574 & -0.676339655547964 \tabularnewline
59 & 601 & 624.541961778014 & -1.22000669844807 & -14.7811404587534 & -1.02754087691151 \tabularnewline
60 & 676 & 635.390232881339 & -0.948801096759488 & 35.3035289438055 & 0.622172317079824 \tabularnewline
61 & 740 & 658.548853215149 & -0.411112943592857 & 70.8529877764049 & 1.24253267435881 \tabularnewline
62 & 691 & 678.148922410464 & 0.0374138587148092 & 4.06399498244345 & 1.03030995753339 \tabularnewline
63 & 683 & 658.849470280066 & -0.40230940775606 & 32.6243754546827 & -0.993915817436151 \tabularnewline
64 & 594 & 645.011463258622 & -0.713389929686892 & -45.1364106211146 & -0.689446747515643 \tabularnewline
65 & 729 & 652.556970942269 & -0.519155926598893 & 72.8369874091147 & 0.423393794567555 \tabularnewline
66 & 731 & 630.578585419439 & -1.02861777507381 & 109.78793670886 & -1.10013191759581 \tabularnewline
67 & 386 & 623.690526217857 & -1.16798317756228 & -235.131198994969 & -0.30062963145936 \tabularnewline
68 & 331 & 619.234799318318 & -1.24578102221594 & -286.796934974138 & -0.168872965174067 \tabularnewline
69 & 706 & 593.628522452172 & -1.8163759182738 & 123.039563781353 & -1.25257958389931 \tabularnewline
70 & 715 & 603.142471643723 & -1.55431091765223 & 106.890240519421 & 0.58304835257454 \tabularnewline
71 & 657 & 627.068634670337 & -0.972049696644329 & 18.7522309409245 & 1.31185084565462 \tabularnewline
72 & 653 & 635.849959399351 & -0.751147810267055 & 12.8693566862222 & 0.502250181709027 \tabularnewline
73 & 642 & 622.789793944422 & -1.02887325633041 & 24.6121911279761 & -0.633773365128728 \tabularnewline
74 & 643 & 617.574805413057 & -1.12349117090786 & 27.2613602603735 & -0.215432445722073 \tabularnewline
75 & 718 & 629.489808993336 & -0.826971112772872 & 82.7961846101153 & 0.670507476225659 \tabularnewline
76 & 654 & 648.607118256558 & -0.36970969291511 & -3.33902258960373 & 1.02486973762547 \tabularnewline
77 & 632 & 626.083745781222 & -0.881438386831149 & 15.608611994365 & -1.13786608711072 \tabularnewline
78 & 731 & 616.355660382818 & -1.08678884008922 & 118.513957161156 & -0.454363881296937 \tabularnewline
79 & 392 & 614.178565361593 & -1.11213131856399 & -221.701527325656 & -0.0560161946260732 \tabularnewline
80 & 344 & 615.109949159825 & -1.06473475505882 & -272.004548558029 & 0.105042464596498 \tabularnewline
81 & 792 & 633.140521556858 & -0.623962171472875 & 150.494653404985 & 0.982058119237524 \tabularnewline
82 & 852 & 670.84068903577 & 0.255276391268461 & 164.361833347732 & 1.97178615359184 \tabularnewline
83 & 649 & 671.750163385291 & 0.27019631271364 & -23.0370105776445 & 0.0336675238157037 \tabularnewline
84 & 629 & 656.296494317658 & -0.086826917573852 & -20.4006774519593 & -0.809300247597123 \tabularnewline
85 & 685 & 653.956676017864 & -0.137879073788527 & 32.0313722968662 & -0.115954314634382 \tabularnewline
86 & 617 & 640.418173632288 & -0.441701783390005 & -17.5427119445219 & -0.689537008876856 \tabularnewline
87 & 715 & 635.891177447453 & -0.534567910479636 & 80.8992928634637 & -0.210140917687362 \tabularnewline
88 & 715 & 650.40038193176 & -0.19134042511494 & 58.0092681768361 & 0.773562186664446 \tabularnewline
89 & 629 & 644.190666570959 & -0.32913763481526 & -12.5550320216268 & -0.309398759602097 \tabularnewline
90 & 916 & 682.42042619619 & 0.555871017528162 & 216.695528486235 & 1.98219008580916 \tabularnewline
91 & 531 & 714.384389917127 & 1.27733897291719 & -197.138624202137 & 1.61480134695767 \tabularnewline
92 & 357 & 709.072175808654 & 1.12610511911945 & -349.185748819648 & -0.338870856568365 \tabularnewline
93 & 917 & 728.762298339269 & 1.55121623301393 & 180.103599868715 & 0.954900475007578 \tabularnewline
94 & 828 & 716.704167144778 & 1.24047453162402 & 117.260626367323 & -0.700185467991448 \tabularnewline
95 & 708 & 713.926151765718 & 1.14898544999 & -4.16454604836011 & -0.206775382576611 \tabularnewline
96 & 858 & 753.414735058963 & 2.01993886889016 & 87.7763601088179 & 1.97292428250352 \tabularnewline
97 & 775 & 760.669570293483 & 2.13872844742617 & 12.035336299754 & 0.269378334125676 \tabularnewline
98 & 785 & 775.784547817052 & 2.43321800613567 & 3.52695931173405 & 0.667669645661045 \tabularnewline
99 & 1006 & 823.180944312963 & 3.45477034038179 & 163.111747552007 & 2.31315058939381 \tabularnewline
100 & 789 & 818.704725262574 & 3.27428187951039 & -26.2292848939256 & -0.407949027305529 \tabularnewline
101 & 734 & 811.408519323328 & 3.03332576967954 & -72.777161323887 & -0.543658038237308 \tabularnewline
102 & 906 & 786.499903280309 & 2.39562034203717 & 131.741770434519 & -1.43706067323715 \tabularnewline
103 & 532 & 767.043548859095 & 1.89667799498837 & -225.46961278102 & -1.12391175036914 \tabularnewline
104 & 387 & 758.265047447665 & 1.65302033209761 & -366.587439083686 & -0.549113734761044 \tabularnewline
105 & 991 & 769.352342045315 & 1.86813573176179 & 217.513186035759 & 0.485341329755778 \tabularnewline
106 & 841 & 765.900393301626 & 1.74699798375018 & 77.431397184117 & -0.273717249559393 \tabularnewline
107 & 892 & 807.588673359281 & 2.65518046027041 & 66.903272236906 & 2.05511868752737 \tabularnewline
108 & 782 & 795.704020686364 & 2.32493928248099 & -7.33019581179452 & -0.748151024725141 \tabularnewline
109 & 811 & 800.115960063495 & 2.37231297565877 & 9.96915653146355 & 0.107386581560853 \tabularnewline
110 & 792 & 805.718933257002 & 2.44564568899636 & -15.135104349632 & 0.166226549711124 \tabularnewline
111 & 978 & 806.153981274869 & 2.39998602408205 & 172.727300476326 & -0.103443856329518 \tabularnewline
112 & 773 & 799.782679124293 & 2.20064649229407 & -22.9384193335597 & -0.451243979763858 \tabularnewline
113 & 796 & 808.775932967867 & 2.35513726672981 & -15.7527567721448 & 0.34943119055041 \tabularnewline
114 & 946 & 809.27798045616 & 2.31296621707854 & 137.534097875067 & -0.0953266757550031 \tabularnewline
115 & 594 & 812.546637726663 & 2.33472024336827 & -218.965454837899 & 0.0491637223581623 \tabularnewline
116 & 438 & 815.484437539866 & 2.34844595498619 & -377.748741227854 & 0.0310257634298077 \tabularnewline
117 & 1023 & 817.148721436774 & 2.33288210859006 & 206.151137627275 & -0.0351990909533197 \tabularnewline
118 & 868 & 818.33253416863 & 2.30675933691464 & 50.1711213131559 & -0.0591208908002539 \tabularnewline
119 & 791 & 793.759022970051 & 1.69608307479104 & 9.0236476482974 & -1.38307096371418 \tabularnewline
120 & 760 & 781.884673009157 & 1.38795466238606 & -15.9360412844368 & -0.698252925244049 \tabularnewline
121 & 779 & 776.340857466041 & 1.23061261672113 & 5.69771812721296 & -0.356667091303312 \tabularnewline
122 & 852 & 797.198340696547 & 1.6760960307883 & 46.1982786277265 & 1.00986194939656 \tabularnewline
123 & 1001 & 810.276964593516 & 1.9349548363357 & 185.724949861748 & 0.586676627365458 \tabularnewline
124 & 734 & 802.461081172215 & 1.71351936507933 & -64.1871643782699 & -0.501678056263236 \tabularnewline
125 & 996 & 852.93734746923 & 2.8212873761533 & 121.690078534423 & 2.50876743048148 \tabularnewline
126 & 869 & 837.2711439159 & 2.40118107101236 & 39.8317270824654 & -0.951144011058335 \tabularnewline
127 & 599 & 828.532771915501 & 2.14801668354301 & -224.650404355088 & -0.573112339381727 \tabularnewline
128 & 426 & 819.181658249753 & 1.88669505478303 & -388.141579195354 & -0.591624722927034 \tabularnewline
129 & 1138 & 842.332870895072 & 2.36983533521371 & 286.346574099326 & 1.09407861571289 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=151629&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]616.396948732601[/C][C]0.00890096864893301[/C][C]-1.891027350527[/C][C]-0.0478157372022405[/C][/ROW]
[ROW][C]3[/C][C]647[/C][C]627.190243157795[/C][C]0.988799371667717[/C][C]16.4988964287048[/C][C]0.382687229398689[/C][/ROW]
[ROW][C]4[/C][C]580[/C][C]614.287443148953[/C][C]-0.285014674369316[/C][C]-30.1047759730002[/C][C]-0.509321993981433[/C][/ROW]
[ROW][C]5[/C][C]614[/C][C]611.052513207032[/C][C]-0.517188083639074[/C][C]4.01836929610002[/C][C]-0.125858378781982[/C][/ROW]
[ROW][C]6[/C][C]636[/C][C]617.095805249424[/C][C]-0.0968938084027448[/C][C]16.1823525223894[/C][C]0.309684842310729[/C][/ROW]
[ROW][C]7[/C][C]388[/C][C]556.688372454532[/C][C]-3.25890144376803[/C][C]-141.807181140932[/C][C]-3.00047629060688[/C][/ROW]
[ROW][C]8[/C][C]356[/C][C]484.168635668645[/C][C]-6.34923320265839[/C][C]-96.1860756932912[/C][C]-3.5336406521513[/C][/ROW]
[ROW][C]9[/C][C]639[/C][C]501.730933047395[/C][C]-5.39618671692589[/C][C]126.039450272311[/C][C]1.23422113670108[/C][/ROW]
[ROW][C]10[/C][C]753[/C][C]572.877842257336[/C][C]-2.55713008745794[/C][C]143.893377683007[/C][C]3.97125712311492[/C][/ROW]
[ROW][C]11[/C][C]611[/C][C]604.928226478024[/C][C]-1.32930621637036[/C][C]-10.3653014423345[/C][C]1.7993577757283[/C][/ROW]
[ROW][C]12[/C][C]639[/C][C]623.869406826468[/C][C]-0.630563446952106[/C][C]5.48850378759746[/C][C]1.05477702174818[/C][/ROW]
[ROW][C]13[/C][C]630[/C][C]630.227957009343[/C][C]-0.735261174720945[/C][C]-3.83087954982516[/C][C]0.406114330056758[/C][/ROW]
[ROW][C]14[/C][C]586[/C][C]622.333120717455[/C][C]-0.772652073471867[/C][C]-32.8600901381475[/C][C]-0.391537436587837[/C][/ROW]
[ROW][C]15[/C][C]695[/C][C]631.271094180582[/C][C]-0.493456770922537[/C][C]59.6026960306092[/C][C]0.475572215608298[/C][/ROW]
[ROW][C]16[/C][C]552[/C][C]617.469921422483[/C][C]-1.02893506409475[/C][C]-60.178976522652[/C][C]-0.623305304405177[/C][/ROW]
[ROW][C]17[/C][C]619[/C][C]605.959756167769[/C][C]-1.48080614654193[/C][C]17.225876875216[/C][C]-0.496596256418881[/C][/ROW]
[ROW][C]18[/C][C]681[/C][C]600.514123624059[/C][C]-1.64515347641797[/C][C]82.121535601141[/C][C]-0.193503833455735[/C][/ROW]
[ROW][C]19[/C][C]421[/C][C]578.809469677255[/C][C]-2.40793386360839[/C][C]-149.261998295292[/C][C]-1.00540932848966[/C][/ROW]
[ROW][C]20[/C][C]307[/C][C]538.275197147396[/C][C]-3.7189679603951[/C][C]-214.643278985922[/C][C]-1.94607281010152[/C][/ROW]
[ROW][C]21[/C][C]754[/C][C]564.929038195097[/C][C]-2.77412246155011[/C][C]175.620982830004[/C][C]1.56734874434369[/C][/ROW]
[ROW][C]22[/C][C]690[/C][C]574.695107710029[/C][C]-2.42181274490761[/C][C]109.700224624738[/C][C]0.651027554615342[/C][/ROW]
[ROW][C]23[/C][C]644[/C][C]600.822188820922[/C][C]-1.71287958758406[/C][C]30.3380237833078[/C][C]1.4872360669258[/C][/ROW]
[ROW][C]24[/C][C]643[/C][C]617.896973213422[/C][C]-1.3263238867723[/C][C]16.5964602212265[/C][C]0.982912835246338[/C][/ROW]
[ROW][C]25[/C][C]608[/C][C]619.547624844118[/C][C]-1.28311665010783[/C][C]-12.9140537498383[/C][C]0.157776553581981[/C][/ROW]
[ROW][C]26[/C][C]651[/C][C]635.459325224944[/C][C]-0.99122574206708[/C][C]7.75209318674066[/C][C]0.900349344795639[/C][/ROW]
[ROW][C]27[/C][C]691[/C][C]634.395520823291[/C][C]-0.992904593430529[/C][C]56.6362310909283[/C][C]-0.00369172551485322[/C][/ROW]
[ROW][C]28[/C][C]627[/C][C]643.501262093642[/C][C]-0.706503154503003[/C][C]-20.7933596169715[/C][C]0.502901601247424[/C][/ROW]
[ROW][C]29[/C][C]634[/C][C]634.86330463356[/C][C]-0.953749781277541[/C][C]2.47674078398756[/C][C]-0.393398703641176[/C][/ROW]
[ROW][C]30[/C][C]731[/C][C]629.622652108229[/C][C]-1.09007578366578[/C][C]103.194432087379[/C][C]-0.214324542999388[/C][/ROW]
[ROW][C]31[/C][C]475[/C][C]622.756050427791[/C][C]-1.26892259476824[/C][C]-145.275710478281[/C][C]-0.292197917486537[/C][/ROW]
[ROW][C]32[/C][C]337[/C][C]610.660231483562[/C][C]-1.58637658914867[/C][C]-268.952011920509[/C][C]-0.553355122994409[/C][/ROW]
[ROW][C]33[/C][C]803[/C][C]616.649766676177[/C][C]-1.37937745859655[/C][C]183.023518940958[/C][C]0.390011587357417[/C][/ROW]
[ROW][C]34[/C][C]722[/C][C]624.075948221698[/C][C]-1.15750520267233[/C][C]94.0318320043368[/C][C]0.455304881421709[/C][/ROW]
[ROW][C]35[/C][C]590[/C][C]614.189819336165[/C][C]-1.3588353179437[/C][C]-20.3148191596394[/C][C]-0.452515251056171[/C][/ROW]
[ROW][C]36[/C][C]724[/C][C]636.349784302915[/C][C]-0.861929286871881[/C][C]77.1765557941437[/C][C]1.22173670849044[/C][/ROW]
[ROW][C]37[/C][C]627[/C][C]646.455731141829[/C][C]-0.643500528079492[/C][C]-24.347351654675[/C][C]0.570315950983073[/C][/ROW]
[ROW][C]38[/C][C]696[/C][C]659.877515841653[/C][C]-0.353259535196235[/C][C]29.8835954563089[/C][C]0.727765939220656[/C][/ROW]
[ROW][C]39[/C][C]825[/C][C]691.571617843779[/C][C]0.373423025537755[/C][C]119.381049661517[/C][C]1.64186871172429[/C][/ROW]
[ROW][C]40[/C][C]677[/C][C]699.810530488554[/C][C]0.568995157869173[/C][C]-26.2178870870809[/C][C]0.399418529290393[/C][/ROW]
[ROW][C]41[/C][C]656[/C][C]689.014861660319[/C][C]0.268732304605766[/C][C]-28.1210227508812[/C][C]-0.575120311520569[/C][/ROW]
[ROW][C]42[/C][C]785[/C][C]682.804206257091[/C][C]0.0931880537620652[/C][C]104.987924410301[/C][C]-0.328536257971555[/C][/ROW]
[ROW][C]43[/C][C]412[/C][C]648.711879263477[/C][C]-0.828645465048698[/C][C]-221.907732692298[/C][C]-1.74176754121474[/C][/ROW]
[ROW][C]44[/C][C]352[/C][C]634.70362683184[/C][C]-1.17473993777091[/C][C]-276.961156435124[/C][C]-0.674976305704194[/C][/ROW]
[ROW][C]45[/C][C]839[/C][C]638.039638391325[/C][C]-1.06101759367494[/C][C]198.984464813981[/C][C]0.231950298533754[/C][/ROW]
[ROW][C]46[/C][C]729[/C][C]639.380513400531[/C][C]-1.00330426497932[/C][C]88.5632647280933[/C][C]0.12383901198177[/C][/ROW]
[ROW][C]47[/C][C]696[/C][C]665.295841033245[/C][C]-0.386876004800131[/C][C]18.836736883735[/C][C]1.39013304852739[/C][/ROW]
[ROW][C]48[/C][C]641[/C][C]651.819263132602[/C][C]-0.675218594038216[/C][C]-5.04038640399405[/C][C]-0.676545743731482[/C][/ROW]
[ROW][C]49[/C][C]695[/C][C]670.319478108813[/C][C]-0.260201923073511[/C][C]16.2155744411849[/C][C]0.990801527802938[/C][/ROW]
[ROW][C]50[/C][C]638[/C][C]665.389409143113[/C][C]-0.36258189017876[/C][C]-25.3331312126518[/C][C]-0.240739837222771[/C][/ROW]
[ROW][C]51[/C][C]762[/C][C]657.294380763797[/C][C]-0.538188223089132[/C][C]108.094394177333[/C][C]-0.397055699222239[/C][/ROW]
[ROW][C]52[/C][C]635[/C][C]651.13078541884[/C][C]-0.671219416974191[/C][C]-13.6776324998709[/C][C]-0.287771542225097[/C][/ROW]
[ROW][C]53[/C][C]721[/C][C]668.78583262851[/C][C]-0.223798474251317[/C][C]44.2467786875701[/C][C]0.93570223097239[/C][/ROW]
[ROW][C]54[/C][C]854[/C][C]686.320189368949[/C][C]0.217124722183577[/C][C]159.961779656323[/C][C]0.907050019193713[/C][/ROW]
[ROW][C]55[/C][C]418[/C][C]678.073683887681[/C][C]0.00672973108188715[/C][C]-256.388380943118[/C][C]-0.433153105252573[/C][/ROW]
[ROW][C]56[/C][C]367[/C][C]669.552100742591[/C][C]-0.20275529662311[/C][C]-298.828182170128[/C][C]-0.437525965667165[/C][/ROW]
[ROW][C]57[/C][C]824[/C][C]658.836298315134[/C][C]-0.455622554619185[/C][C]169.766769853424[/C][C]-0.540485167194174[/C][/ROW]
[ROW][C]58[/C][C]687[/C][C]645.244652197097[/C][C]-0.763683849808934[/C][C]47.5190162505574[/C][C]-0.676339655547964[/C][/ROW]
[ROW][C]59[/C][C]601[/C][C]624.541961778014[/C][C]-1.22000669844807[/C][C]-14.7811404587534[/C][C]-1.02754087691151[/C][/ROW]
[ROW][C]60[/C][C]676[/C][C]635.390232881339[/C][C]-0.948801096759488[/C][C]35.3035289438055[/C][C]0.622172317079824[/C][/ROW]
[ROW][C]61[/C][C]740[/C][C]658.548853215149[/C][C]-0.411112943592857[/C][C]70.8529877764049[/C][C]1.24253267435881[/C][/ROW]
[ROW][C]62[/C][C]691[/C][C]678.148922410464[/C][C]0.0374138587148092[/C][C]4.06399498244345[/C][C]1.03030995753339[/C][/ROW]
[ROW][C]63[/C][C]683[/C][C]658.849470280066[/C][C]-0.40230940775606[/C][C]32.6243754546827[/C][C]-0.993915817436151[/C][/ROW]
[ROW][C]64[/C][C]594[/C][C]645.011463258622[/C][C]-0.713389929686892[/C][C]-45.1364106211146[/C][C]-0.689446747515643[/C][/ROW]
[ROW][C]65[/C][C]729[/C][C]652.556970942269[/C][C]-0.519155926598893[/C][C]72.8369874091147[/C][C]0.423393794567555[/C][/ROW]
[ROW][C]66[/C][C]731[/C][C]630.578585419439[/C][C]-1.02861777507381[/C][C]109.78793670886[/C][C]-1.10013191759581[/C][/ROW]
[ROW][C]67[/C][C]386[/C][C]623.690526217857[/C][C]-1.16798317756228[/C][C]-235.131198994969[/C][C]-0.30062963145936[/C][/ROW]
[ROW][C]68[/C][C]331[/C][C]619.234799318318[/C][C]-1.24578102221594[/C][C]-286.796934974138[/C][C]-0.168872965174067[/C][/ROW]
[ROW][C]69[/C][C]706[/C][C]593.628522452172[/C][C]-1.8163759182738[/C][C]123.039563781353[/C][C]-1.25257958389931[/C][/ROW]
[ROW][C]70[/C][C]715[/C][C]603.142471643723[/C][C]-1.55431091765223[/C][C]106.890240519421[/C][C]0.58304835257454[/C][/ROW]
[ROW][C]71[/C][C]657[/C][C]627.068634670337[/C][C]-0.972049696644329[/C][C]18.7522309409245[/C][C]1.31185084565462[/C][/ROW]
[ROW][C]72[/C][C]653[/C][C]635.849959399351[/C][C]-0.751147810267055[/C][C]12.8693566862222[/C][C]0.502250181709027[/C][/ROW]
[ROW][C]73[/C][C]642[/C][C]622.789793944422[/C][C]-1.02887325633041[/C][C]24.6121911279761[/C][C]-0.633773365128728[/C][/ROW]
[ROW][C]74[/C][C]643[/C][C]617.574805413057[/C][C]-1.12349117090786[/C][C]27.2613602603735[/C][C]-0.215432445722073[/C][/ROW]
[ROW][C]75[/C][C]718[/C][C]629.489808993336[/C][C]-0.826971112772872[/C][C]82.7961846101153[/C][C]0.670507476225659[/C][/ROW]
[ROW][C]76[/C][C]654[/C][C]648.607118256558[/C][C]-0.36970969291511[/C][C]-3.33902258960373[/C][C]1.02486973762547[/C][/ROW]
[ROW][C]77[/C][C]632[/C][C]626.083745781222[/C][C]-0.881438386831149[/C][C]15.608611994365[/C][C]-1.13786608711072[/C][/ROW]
[ROW][C]78[/C][C]731[/C][C]616.355660382818[/C][C]-1.08678884008922[/C][C]118.513957161156[/C][C]-0.454363881296937[/C][/ROW]
[ROW][C]79[/C][C]392[/C][C]614.178565361593[/C][C]-1.11213131856399[/C][C]-221.701527325656[/C][C]-0.0560161946260732[/C][/ROW]
[ROW][C]80[/C][C]344[/C][C]615.109949159825[/C][C]-1.06473475505882[/C][C]-272.004548558029[/C][C]0.105042464596498[/C][/ROW]
[ROW][C]81[/C][C]792[/C][C]633.140521556858[/C][C]-0.623962171472875[/C][C]150.494653404985[/C][C]0.982058119237524[/C][/ROW]
[ROW][C]82[/C][C]852[/C][C]670.84068903577[/C][C]0.255276391268461[/C][C]164.361833347732[/C][C]1.97178615359184[/C][/ROW]
[ROW][C]83[/C][C]649[/C][C]671.750163385291[/C][C]0.27019631271364[/C][C]-23.0370105776445[/C][C]0.0336675238157037[/C][/ROW]
[ROW][C]84[/C][C]629[/C][C]656.296494317658[/C][C]-0.086826917573852[/C][C]-20.4006774519593[/C][C]-0.809300247597123[/C][/ROW]
[ROW][C]85[/C][C]685[/C][C]653.956676017864[/C][C]-0.137879073788527[/C][C]32.0313722968662[/C][C]-0.115954314634382[/C][/ROW]
[ROW][C]86[/C][C]617[/C][C]640.418173632288[/C][C]-0.441701783390005[/C][C]-17.5427119445219[/C][C]-0.689537008876856[/C][/ROW]
[ROW][C]87[/C][C]715[/C][C]635.891177447453[/C][C]-0.534567910479636[/C][C]80.8992928634637[/C][C]-0.210140917687362[/C][/ROW]
[ROW][C]88[/C][C]715[/C][C]650.40038193176[/C][C]-0.19134042511494[/C][C]58.0092681768361[/C][C]0.773562186664446[/C][/ROW]
[ROW][C]89[/C][C]629[/C][C]644.190666570959[/C][C]-0.32913763481526[/C][C]-12.5550320216268[/C][C]-0.309398759602097[/C][/ROW]
[ROW][C]90[/C][C]916[/C][C]682.42042619619[/C][C]0.555871017528162[/C][C]216.695528486235[/C][C]1.98219008580916[/C][/ROW]
[ROW][C]91[/C][C]531[/C][C]714.384389917127[/C][C]1.27733897291719[/C][C]-197.138624202137[/C][C]1.61480134695767[/C][/ROW]
[ROW][C]92[/C][C]357[/C][C]709.072175808654[/C][C]1.12610511911945[/C][C]-349.185748819648[/C][C]-0.338870856568365[/C][/ROW]
[ROW][C]93[/C][C]917[/C][C]728.762298339269[/C][C]1.55121623301393[/C][C]180.103599868715[/C][C]0.954900475007578[/C][/ROW]
[ROW][C]94[/C][C]828[/C][C]716.704167144778[/C][C]1.24047453162402[/C][C]117.260626367323[/C][C]-0.700185467991448[/C][/ROW]
[ROW][C]95[/C][C]708[/C][C]713.926151765718[/C][C]1.14898544999[/C][C]-4.16454604836011[/C][C]-0.206775382576611[/C][/ROW]
[ROW][C]96[/C][C]858[/C][C]753.414735058963[/C][C]2.01993886889016[/C][C]87.7763601088179[/C][C]1.97292428250352[/C][/ROW]
[ROW][C]97[/C][C]775[/C][C]760.669570293483[/C][C]2.13872844742617[/C][C]12.035336299754[/C][C]0.269378334125676[/C][/ROW]
[ROW][C]98[/C][C]785[/C][C]775.784547817052[/C][C]2.43321800613567[/C][C]3.52695931173405[/C][C]0.667669645661045[/C][/ROW]
[ROW][C]99[/C][C]1006[/C][C]823.180944312963[/C][C]3.45477034038179[/C][C]163.111747552007[/C][C]2.31315058939381[/C][/ROW]
[ROW][C]100[/C][C]789[/C][C]818.704725262574[/C][C]3.27428187951039[/C][C]-26.2292848939256[/C][C]-0.407949027305529[/C][/ROW]
[ROW][C]101[/C][C]734[/C][C]811.408519323328[/C][C]3.03332576967954[/C][C]-72.777161323887[/C][C]-0.543658038237308[/C][/ROW]
[ROW][C]102[/C][C]906[/C][C]786.499903280309[/C][C]2.39562034203717[/C][C]131.741770434519[/C][C]-1.43706067323715[/C][/ROW]
[ROW][C]103[/C][C]532[/C][C]767.043548859095[/C][C]1.89667799498837[/C][C]-225.46961278102[/C][C]-1.12391175036914[/C][/ROW]
[ROW][C]104[/C][C]387[/C][C]758.265047447665[/C][C]1.65302033209761[/C][C]-366.587439083686[/C][C]-0.549113734761044[/C][/ROW]
[ROW][C]105[/C][C]991[/C][C]769.352342045315[/C][C]1.86813573176179[/C][C]217.513186035759[/C][C]0.485341329755778[/C][/ROW]
[ROW][C]106[/C][C]841[/C][C]765.900393301626[/C][C]1.74699798375018[/C][C]77.431397184117[/C][C]-0.273717249559393[/C][/ROW]
[ROW][C]107[/C][C]892[/C][C]807.588673359281[/C][C]2.65518046027041[/C][C]66.903272236906[/C][C]2.05511868752737[/C][/ROW]
[ROW][C]108[/C][C]782[/C][C]795.704020686364[/C][C]2.32493928248099[/C][C]-7.33019581179452[/C][C]-0.748151024725141[/C][/ROW]
[ROW][C]109[/C][C]811[/C][C]800.115960063495[/C][C]2.37231297565877[/C][C]9.96915653146355[/C][C]0.107386581560853[/C][/ROW]
[ROW][C]110[/C][C]792[/C][C]805.718933257002[/C][C]2.44564568899636[/C][C]-15.135104349632[/C][C]0.166226549711124[/C][/ROW]
[ROW][C]111[/C][C]978[/C][C]806.153981274869[/C][C]2.39998602408205[/C][C]172.727300476326[/C][C]-0.103443856329518[/C][/ROW]
[ROW][C]112[/C][C]773[/C][C]799.782679124293[/C][C]2.20064649229407[/C][C]-22.9384193335597[/C][C]-0.451243979763858[/C][/ROW]
[ROW][C]113[/C][C]796[/C][C]808.775932967867[/C][C]2.35513726672981[/C][C]-15.7527567721448[/C][C]0.34943119055041[/C][/ROW]
[ROW][C]114[/C][C]946[/C][C]809.27798045616[/C][C]2.31296621707854[/C][C]137.534097875067[/C][C]-0.0953266757550031[/C][/ROW]
[ROW][C]115[/C][C]594[/C][C]812.546637726663[/C][C]2.33472024336827[/C][C]-218.965454837899[/C][C]0.0491637223581623[/C][/ROW]
[ROW][C]116[/C][C]438[/C][C]815.484437539866[/C][C]2.34844595498619[/C][C]-377.748741227854[/C][C]0.0310257634298077[/C][/ROW]
[ROW][C]117[/C][C]1023[/C][C]817.148721436774[/C][C]2.33288210859006[/C][C]206.151137627275[/C][C]-0.0351990909533197[/C][/ROW]
[ROW][C]118[/C][C]868[/C][C]818.33253416863[/C][C]2.30675933691464[/C][C]50.1711213131559[/C][C]-0.0591208908002539[/C][/ROW]
[ROW][C]119[/C][C]791[/C][C]793.759022970051[/C][C]1.69608307479104[/C][C]9.0236476482974[/C][C]-1.38307096371418[/C][/ROW]
[ROW][C]120[/C][C]760[/C][C]781.884673009157[/C][C]1.38795466238606[/C][C]-15.9360412844368[/C][C]-0.698252925244049[/C][/ROW]
[ROW][C]121[/C][C]779[/C][C]776.340857466041[/C][C]1.23061261672113[/C][C]5.69771812721296[/C][C]-0.356667091303312[/C][/ROW]
[ROW][C]122[/C][C]852[/C][C]797.198340696547[/C][C]1.6760960307883[/C][C]46.1982786277265[/C][C]1.00986194939656[/C][/ROW]
[ROW][C]123[/C][C]1001[/C][C]810.276964593516[/C][C]1.9349548363357[/C][C]185.724949861748[/C][C]0.586676627365458[/C][/ROW]
[ROW][C]124[/C][C]734[/C][C]802.461081172215[/C][C]1.71351936507933[/C][C]-64.1871643782699[/C][C]-0.501678056263236[/C][/ROW]
[ROW][C]125[/C][C]996[/C][C]852.93734746923[/C][C]2.8212873761533[/C][C]121.690078534423[/C][C]2.50876743048148[/C][/ROW]
[ROW][C]126[/C][C]869[/C][C]837.2711439159[/C][C]2.40118107101236[/C][C]39.8317270824654[/C][C]-0.951144011058335[/C][/ROW]
[ROW][C]127[/C][C]599[/C][C]828.532771915501[/C][C]2.14801668354301[/C][C]-224.650404355088[/C][C]-0.573112339381727[/C][/ROW]
[ROW][C]128[/C][C]426[/C][C]819.181658249753[/C][C]1.88669505478303[/C][C]-388.141579195354[/C][C]-0.591624722927034[/C][/ROW]
[ROW][C]129[/C][C]1138[/C][C]842.332870895072[/C][C]2.36983533521371[/C][C]286.346574099326[/C][C]1.09407861571289[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=151629&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=151629&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
2614616.3969487326010.00890096864893301-1.891027350527-0.0478157372022405
3647627.1902431577950.98879937166771716.49889642870480.382687229398689
4580614.287443148953-0.285014674369316-30.1047759730002-0.509321993981433
5614611.052513207032-0.5171880836390744.01836929610002-0.125858378781982
6636617.095805249424-0.096893808402744816.18235252238940.309684842310729
7388556.688372454532-3.25890144376803-141.807181140932-3.00047629060688
8356484.168635668645-6.34923320265839-96.1860756932912-3.5336406521513
9639501.730933047395-5.39618671692589126.0394502723111.23422113670108
10753572.877842257336-2.55713008745794143.8933776830073.97125712311492
11611604.928226478024-1.32930621637036-10.36530144233451.7993577757283
12639623.869406826468-0.6305634469521065.488503787597461.05477702174818
13630630.227957009343-0.735261174720945-3.830879549825160.406114330056758
14586622.333120717455-0.772652073471867-32.8600901381475-0.391537436587837
15695631.271094180582-0.49345677092253759.60269603060920.475572215608298
16552617.469921422483-1.02893506409475-60.178976522652-0.623305304405177
17619605.959756167769-1.4808061465419317.225876875216-0.496596256418881
18681600.514123624059-1.6451534764179782.121535601141-0.193503833455735
19421578.809469677255-2.40793386360839-149.261998295292-1.00540932848966
20307538.275197147396-3.7189679603951-214.643278985922-1.94607281010152
21754564.929038195097-2.77412246155011175.6209828300041.56734874434369
22690574.695107710029-2.42181274490761109.7002246247380.651027554615342
23644600.822188820922-1.7128795875840630.33802378330781.4872360669258
24643617.896973213422-1.326323886772316.59646022122650.982912835246338
25608619.547624844118-1.28311665010783-12.91405374983830.157776553581981
26651635.459325224944-0.991225742067087.752093186740660.900349344795639
27691634.395520823291-0.99290459343052956.6362310909283-0.00369172551485322
28627643.501262093642-0.706503154503003-20.79335961697150.502901601247424
29634634.86330463356-0.9537497812775412.47674078398756-0.393398703641176
30731629.622652108229-1.09007578366578103.194432087379-0.214324542999388
31475622.756050427791-1.26892259476824-145.275710478281-0.292197917486537
32337610.660231483562-1.58637658914867-268.952011920509-0.553355122994409
33803616.649766676177-1.37937745859655183.0235189409580.390011587357417
34722624.075948221698-1.1575052026723394.03183200433680.455304881421709
35590614.189819336165-1.3588353179437-20.3148191596394-0.452515251056171
36724636.349784302915-0.86192928687188177.17655579414371.22173670849044
37627646.455731141829-0.643500528079492-24.3473516546750.570315950983073
38696659.877515841653-0.35325953519623529.88359545630890.727765939220656
39825691.5716178437790.373423025537755119.3810496615171.64186871172429
40677699.8105304885540.568995157869173-26.21788708708090.399418529290393
41656689.0148616603190.268732304605766-28.1210227508812-0.575120311520569
42785682.8042062570910.0931880537620652104.987924410301-0.328536257971555
43412648.711879263477-0.828645465048698-221.907732692298-1.74176754121474
44352634.70362683184-1.17473993777091-276.961156435124-0.674976305704194
45839638.039638391325-1.06101759367494198.9844648139810.231950298533754
46729639.380513400531-1.0033042649793288.56326472809330.12383901198177
47696665.295841033245-0.38687600480013118.8367368837351.39013304852739
48641651.819263132602-0.675218594038216-5.04038640399405-0.676545743731482
49695670.319478108813-0.26020192307351116.21557444118490.990801527802938
50638665.389409143113-0.36258189017876-25.3331312126518-0.240739837222771
51762657.294380763797-0.538188223089132108.094394177333-0.397055699222239
52635651.13078541884-0.671219416974191-13.6776324998709-0.287771542225097
53721668.78583262851-0.22379847425131744.24677868757010.93570223097239
54854686.3201893689490.217124722183577159.9617796563230.907050019193713
55418678.0736838876810.00672973108188715-256.388380943118-0.433153105252573
56367669.552100742591-0.20275529662311-298.828182170128-0.437525965667165
57824658.836298315134-0.455622554619185169.766769853424-0.540485167194174
58687645.244652197097-0.76368384980893447.5190162505574-0.676339655547964
59601624.541961778014-1.22000669844807-14.7811404587534-1.02754087691151
60676635.390232881339-0.94880109675948835.30352894380550.622172317079824
61740658.548853215149-0.41111294359285770.85298777640491.24253267435881
62691678.1489224104640.03741385871480924.063994982443451.03030995753339
63683658.849470280066-0.4023094077560632.6243754546827-0.993915817436151
64594645.011463258622-0.713389929686892-45.1364106211146-0.689446747515643
65729652.556970942269-0.51915592659889372.83698740911470.423393794567555
66731630.578585419439-1.02861777507381109.78793670886-1.10013191759581
67386623.690526217857-1.16798317756228-235.131198994969-0.30062963145936
68331619.234799318318-1.24578102221594-286.796934974138-0.168872965174067
69706593.628522452172-1.8163759182738123.039563781353-1.25257958389931
70715603.142471643723-1.55431091765223106.8902405194210.58304835257454
71657627.068634670337-0.97204969664432918.75223094092451.31185084565462
72653635.849959399351-0.75114781026705512.86935668622220.502250181709027
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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')