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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_structuraltimeseries.wasp
Title produced by softwareStructural Time Series Models
Date of computationMon, 27 Dec 2010 21:04:16 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/27/t1293483786b31wr7peuzlv0iw.htm/, Retrieved Wed, 29 May 2024 08:33:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=116143, Retrieved Wed, 29 May 2024 08:33:48 +0000
QR Codes:

Original text written by user:Data Paper Statistiek
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact115
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Structural Time Series Models] [STSM Werkloosheid...] [2010-12-27 21:04:16] [25b2a837ac14189684edc0746bbb952e] [Current]
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Dataseries X:
464
460
467
460
448
443
436
431
484
510
513
503
471
471
476
475
470
461
455
456
517
525
523
519
509
512
519
517
510
509
501
507
569
580
578
565
547
555
562
561
555
544
537
543
594
611
613
611
594
595
591
589
584
573
567
569
621
629
628
612
595
597
593
590
580
574
573
573
620
626
620
588
566
557
561
549
532
526
511
499
555
565
542
527
510
514
517
508
493
490
469
478
528
534
518
506
502
516
528
533
536
537
524
536
587
597
581
564
558
575
580
575
563
552
537
545
601
604
586
564
549




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116143&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116143&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116143&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Structural Time Series Model
tObservedLevelSlopeSeasonalStand. Residuals
1464464000
2460460.872492770137-2.89547459139159-0.872492770137255-0.437932871790245
3467464.5340101724141.663486403157312.465989827585860.615780667897815
4460461.68774765858-1.62908509915099-1.68774765858020-0.427947674290657
5448450.088267307691-8.77442843993639-2.08826730769144-0.909693445081838
6443441.925343116354-8.337069364022891.074656883646240.0561662564630144
7436435.436724138177-7.011298140344150.5632758618230640.170125037983934
8431430.480636362847-5.536669776746340.5193636371525880.189170319451585
9484471.70317306554328.00733981267412.29682693445754.30339277564414
10510510.70851969651435.8957696234027-0.7085196965139951.01200030845752
11513520.60012703098117.2446651071005-7.6001270309806-2.3927324689141
12503508.516603552013-3.79106131615576-5.51660355201253-2.69865487675498
13471476.955816234104-23.6100401341582-5.9558162341044-2.57725720878067
14471468.574757930799-12.81115860148592.425242069200971.39288443075299
15476470.369565626795-2.800718134084385.630434373205171.28469357873321
16475473.491727283491.293985895879381.508272716509730.531794163557651
17470472.486398899084-0.300047791541838-2.48639889908361-0.203882936100846
18461460.276644533241-8.505524966465560.723355466759105-1.05074932943788
19455451.504181733445-8.689606789038543.49581826655529-0.0236297959493695
20456463.0129835174925.25919541927106-7.012983517492061.78959414917582
21517502.01671425417528.568581006975814.98328574582462.99021699833202
22525524.70149901017624.50465742216630.29850098982403-0.521391511920852
23523528.33352087698310.0964013485292-5.33352087698307-1.84842075377375
24519519.840949627513-2.71864902685499-0.840949627513182-1.64575978008237
25509517.73675148373-2.29467521402451-8.736751483729910.0546375838952372
26512514.824267782549-2.72001839899528-2.82426778254896-0.0545297429713751
27519515.249903836116-0.5794303418310033.750096163884090.274414713557978
28517514.634088660447-0.6042349235536582.36591133955312-0.00320066640428567
29510508.232503067488-4.573147175761751.76749693251153-0.509255256277633
30509505.035966606301-3.633815991315193.964033393699060.120258415067751
31501503.177114186951-2.42386161564514-2.177114186951270.155220815350135
32507520.37479570863610.9687285515189-13.37479570863621.71847366571448
33569549.5844689241123.426626721522219.41553107589021.59816642606443
34580574.25422088215624.27551733188195.745779117844080.108906741015679
35578582.34007310086713.2287383420504-4.34007310086673-1.41733633240608
36565571.938643506312-2.88616961764111-6.9386435063124-2.06999186436671
37547558.093691666969-10.3670701403794-11.0936916669689-0.961637941388303
38555556.559279037694-4.34959108040741-1.559279037693590.771212589373182
39562557.1554401038-0.99921272872954.844559896200520.429606186050208
40561555.978192899712-1.119885119590365.02180710028839-0.0155283843019614
41555552.22108286149-2.912848240300542.77891713851007-0.230222160945093
42544541.176329963348-8.434311730921062.82367003665162-0.707371001497586
43537542.42627656832-1.86763503505914-5.42627656831950.842033576111527
44543559.0181892771310.6571149330045-16.01818927712991.6069655604421
45594575.75080646571814.782027394263018.24919353428180.529188180035347
46611598.73720552999920.351850311394312.26279447000100.714553918245582
47613611.94230665302715.50263951087041.05769334697272-0.622255653944599
48611617.0222816064318.4306270380436-6.02228160643142-0.908207095891904
49594611.645089643879-0.943975771545664-17.6450896438786-1.20374580176994
50595600.829579681121-7.63495681938113-5.82957968112068-0.857654462791544
51591587.414745750952-11.53976929808893.58525424904767-0.500792090815439
52589580.456403893974-8.443872087078418.543596106025830.397897529985553
53584576.149652939137-5.642348884690527.850347060863350.359741723277606
54573571.914070307972-4.690075256735351.085929692027860.122070388582348
55567575.4616767230530.879754214437346-8.461676723053410.71411295160094
56569585.4552367407517.04241106297723-16.45523674075090.790564126220589
57621603.71487529063214.630896818031417.28512470936810.973554355619095
58629616.66924704764813.496720010292712.3307529523525-0.145511996603899
59628625.71629942171510.48719191940642.28370057828451-0.386221866887624
60612618.765868194923-1.30959143843142-6.76586819492296-1.51457532558114
61595610.64992690359-5.91554618035924-15.6499269035903-0.591113507981865
62597601.551192239516-8.06672537159297-4.55119223951633-0.275781651761463
63593590.940843477381-9.782061209993312.05915652261906-0.220015702906292
64590581.479995825549-9.565415933656628.520004174450810.027827141558759
65580571.568166134162-9.79940763342668.43183386583773-0.0300440779980222
66574571.955286669993-2.918438374029782.044713330006560.882396406653817
67573581.5783007210415.54561390325894-8.578300721041211.08521040793279
68573592.6619650729589.28215093953225-19.66196507295820.479274286089763
69620603.20681724292710.134279322753516.79318275707310.109322827164236
70626613.052392386669.9394357364182512.9476076133400-0.0250000634811991
71620614.9518576994674.513255438630375.04814230053254-0.696395792846227
72588598.373247866715-9.72624926917967-10.3732478667150-1.82781535662797
73566581.781584535404-14.3616456426709-15.7815845354038-0.594729720188353
74557561.790582980598-18.1581838973138-4.79058298059765-0.486772819718756
75561554.762801491793-10.66270741187486.237198508206880.96146032673989
76549540.61796726573-13.00787737712168.3820327342698-0.301126611933101
77532526.20343017357-13.95630871402155.79656982643006-0.121764744092675
78526524.416348167366-5.749575683102931.583651832633921.05265048824499
79511521.485094848084-3.85027057989199-10.48509484808450.243535427952933
80499519.686061113771-2.46855325276647-20.68606111377090.177214938389221
81555534.8951840227049.4391115954342720.10481597729581.52766667527508
82565549.41423065358812.861287498245615.58576934641220.439126584505279
83542537.215288960119-4.023999404005544.78471103988059-2.16711763700907
84527533.71414653142-3.67158597954126-6.714146531420280.0452299888775267
85510525.766297575577-6.55374828136452-15.7662975755769-0.369733101340550
86514521.314797922948-5.13821453477928-7.31479792294790.181507543356025
87517510.440442301881-8.996371037800486.55955769811927-0.494912773312322
88508499.008050715408-10.63497748799038.99194928459157-0.210360455133235
89493489.782561484323-9.686040003423493.217438515676730.121819365386316
90490486.716331278565-5.228040105321393.28366872143540.571890039511757
91469480.997538120651-5.55834842414912-11.9975381206509-0.042356486505193
92478499.1503627922710.3919450967165-21.15036279226982.04565431111206
93528510.28487109118810.891380912242917.71512890881250.0640732300381689
94534512.837359899795.2821675908784721.1626401002101-0.719799275261387
95518514.2502279037312.678715081653163.74977209626936-0.334139737656964
96506512.926116019943-0.0154598685750427-6.92611601994354-0.345745614193001
97502517.295417464512.93544878511336-15.29541746450990.378522908274332
98516521.1730194259133.56897909905578-5.173019425913120.081239702319651
99528520.9939488733661.050844927584577.00605112663387-0.323026516109515
100533523.1977350457161.825504299249569.802264954283980.0994365237780385
101536531.9127867026856.45791240675864.08721329731470.594641092312073
102537535.0382103448024.216553931111341.96178965519809-0.287552698734617
103524542.8578279821156.63882554154019-18.85782798211530.310635770803925
104536556.07665351905311.0598310116575-20.07665351905260.566993203461195
105587567.01251767359610.976561037789119.9874823264035-0.0106826914600242
106597575.1029595014979.0377134423946121.8970404985035-0.248808416582174
107581577.6811580373924.696839046340093.31884196260819-0.557127536576021
108564574.360995735981-0.69234686158514-10.3609957359809-0.691552085235307
109558573.253973568206-0.971055962304933-15.2539735682064-0.0357495384284554
110575577.4221303719532.48051460287308-2.42213037195280.442627136021326
111580574.854912909622-0.9072482532795195.14508709037761-0.434589381591217
112575568.147273497916-4.800406468084596.85272650208423-0.499689452778211
113563558.604399692955-7.985431549124924.39560030704525-0.408822994417209
114552551.123130970042-7.646739593503420.8768690299576080.0434539859838452
115537555.317548137760.305137789840939-18.31754813776031.01981410865332
116545563.8647344254625.83678990236037-18.86473442546240.709433420998137
117601578.3273281121711.624179319198422.67267188783060.742456890940871
118604582.2193340755116.4358450431789121.7806659244891-0.665814771336709
119586581.6148227522451.710001043194274.38517724775509-0.60652931166299
120564576.45248512869-2.90439233751419-12.4524851286904-0.592101856076172
121549567.712618180742-6.82188812838377-18.7126181807424-0.502481685409719

\begin{tabular}{lllllllll}
\hline
Structural Time Series Model \tabularnewline
t & Observed & Level & Slope & Seasonal & Stand. Residuals \tabularnewline
1 & 464 & 464 & 0 & 0 & 0 \tabularnewline
2 & 460 & 460.872492770137 & -2.89547459139159 & -0.872492770137255 & -0.437932871790245 \tabularnewline
3 & 467 & 464.534010172414 & 1.66348640315731 & 2.46598982758586 & 0.615780667897815 \tabularnewline
4 & 460 & 461.68774765858 & -1.62908509915099 & -1.68774765858020 & -0.427947674290657 \tabularnewline
5 & 448 & 450.088267307691 & -8.77442843993639 & -2.08826730769144 & -0.909693445081838 \tabularnewline
6 & 443 & 441.925343116354 & -8.33706936402289 & 1.07465688364624 & 0.0561662564630144 \tabularnewline
7 & 436 & 435.436724138177 & -7.01129814034415 & 0.563275861823064 & 0.170125037983934 \tabularnewline
8 & 431 & 430.480636362847 & -5.53666977674634 & 0.519363637152588 & 0.189170319451585 \tabularnewline
9 & 484 & 471.703173065543 & 28.007339812674 & 12.2968269344575 & 4.30339277564414 \tabularnewline
10 & 510 & 510.708519696514 & 35.8957696234027 & -0.708519696513995 & 1.01200030845752 \tabularnewline
11 & 513 & 520.600127030981 & 17.2446651071005 & -7.6001270309806 & -2.3927324689141 \tabularnewline
12 & 503 & 508.516603552013 & -3.79106131615576 & -5.51660355201253 & -2.69865487675498 \tabularnewline
13 & 471 & 476.955816234104 & -23.6100401341582 & -5.9558162341044 & -2.57725720878067 \tabularnewline
14 & 471 & 468.574757930799 & -12.8111586014859 & 2.42524206920097 & 1.39288443075299 \tabularnewline
15 & 476 & 470.369565626795 & -2.80071813408438 & 5.63043437320517 & 1.28469357873321 \tabularnewline
16 & 475 & 473.49172728349 & 1.29398589587938 & 1.50827271650973 & 0.531794163557651 \tabularnewline
17 & 470 & 472.486398899084 & -0.300047791541838 & -2.48639889908361 & -0.203882936100846 \tabularnewline
18 & 461 & 460.276644533241 & -8.50552496646556 & 0.723355466759105 & -1.05074932943788 \tabularnewline
19 & 455 & 451.504181733445 & -8.68960678903854 & 3.49581826655529 & -0.0236297959493695 \tabularnewline
20 & 456 & 463.012983517492 & 5.25919541927106 & -7.01298351749206 & 1.78959414917582 \tabularnewline
21 & 517 & 502.016714254175 & 28.5685810069758 & 14.9832857458246 & 2.99021699833202 \tabularnewline
22 & 525 & 524.701499010176 & 24.5046574221663 & 0.29850098982403 & -0.521391511920852 \tabularnewline
23 & 523 & 528.333520876983 & 10.0964013485292 & -5.33352087698307 & -1.84842075377375 \tabularnewline
24 & 519 & 519.840949627513 & -2.71864902685499 & -0.840949627513182 & -1.64575978008237 \tabularnewline
25 & 509 & 517.73675148373 & -2.29467521402451 & -8.73675148372991 & 0.0546375838952372 \tabularnewline
26 & 512 & 514.824267782549 & -2.72001839899528 & -2.82426778254896 & -0.0545297429713751 \tabularnewline
27 & 519 & 515.249903836116 & -0.579430341831003 & 3.75009616388409 & 0.274414713557978 \tabularnewline
28 & 517 & 514.634088660447 & -0.604234923553658 & 2.36591133955312 & -0.00320066640428567 \tabularnewline
29 & 510 & 508.232503067488 & -4.57314717576175 & 1.76749693251153 & -0.509255256277633 \tabularnewline
30 & 509 & 505.035966606301 & -3.63381599131519 & 3.96403339369906 & 0.120258415067751 \tabularnewline
31 & 501 & 503.177114186951 & -2.42386161564514 & -2.17711418695127 & 0.155220815350135 \tabularnewline
32 & 507 & 520.374795708636 & 10.9687285515189 & -13.3747957086362 & 1.71847366571448 \tabularnewline
33 & 569 & 549.58446892411 & 23.4266267215222 & 19.4155310758902 & 1.59816642606443 \tabularnewline
34 & 580 & 574.254220882156 & 24.2755173318819 & 5.74577911784408 & 0.108906741015679 \tabularnewline
35 & 578 & 582.340073100867 & 13.2287383420504 & -4.34007310086673 & -1.41733633240608 \tabularnewline
36 & 565 & 571.938643506312 & -2.88616961764111 & -6.9386435063124 & -2.06999186436671 \tabularnewline
37 & 547 & 558.093691666969 & -10.3670701403794 & -11.0936916669689 & -0.961637941388303 \tabularnewline
38 & 555 & 556.559279037694 & -4.34959108040741 & -1.55927903769359 & 0.771212589373182 \tabularnewline
39 & 562 & 557.1554401038 & -0.9992127287295 & 4.84455989620052 & 0.429606186050208 \tabularnewline
40 & 561 & 555.978192899712 & -1.11988511959036 & 5.02180710028839 & -0.0155283843019614 \tabularnewline
41 & 555 & 552.22108286149 & -2.91284824030054 & 2.77891713851007 & -0.230222160945093 \tabularnewline
42 & 544 & 541.176329963348 & -8.43431173092106 & 2.82367003665162 & -0.707371001497586 \tabularnewline
43 & 537 & 542.42627656832 & -1.86763503505914 & -5.4262765683195 & 0.842033576111527 \tabularnewline
44 & 543 & 559.01818927713 & 10.6571149330045 & -16.0181892771299 & 1.6069655604421 \tabularnewline
45 & 594 & 575.750806465718 & 14.7820273942630 & 18.2491935342818 & 0.529188180035347 \tabularnewline
46 & 611 & 598.737205529999 & 20.3518503113943 & 12.2627944700010 & 0.714553918245582 \tabularnewline
47 & 613 & 611.942306653027 & 15.5026395108704 & 1.05769334697272 & -0.622255653944599 \tabularnewline
48 & 611 & 617.022281606431 & 8.4306270380436 & -6.02228160643142 & -0.908207095891904 \tabularnewline
49 & 594 & 611.645089643879 & -0.943975771545664 & -17.6450896438786 & -1.20374580176994 \tabularnewline
50 & 595 & 600.829579681121 & -7.63495681938113 & -5.82957968112068 & -0.857654462791544 \tabularnewline
51 & 591 & 587.414745750952 & -11.5397692980889 & 3.58525424904767 & -0.500792090815439 \tabularnewline
52 & 589 & 580.456403893974 & -8.44387208707841 & 8.54359610602583 & 0.397897529985553 \tabularnewline
53 & 584 & 576.149652939137 & -5.64234888469052 & 7.85034706086335 & 0.359741723277606 \tabularnewline
54 & 573 & 571.914070307972 & -4.69007525673535 & 1.08592969202786 & 0.122070388582348 \tabularnewline
55 & 567 & 575.461676723053 & 0.879754214437346 & -8.46167672305341 & 0.71411295160094 \tabularnewline
56 & 569 & 585.455236740751 & 7.04241106297723 & -16.4552367407509 & 0.790564126220589 \tabularnewline
57 & 621 & 603.714875290632 & 14.6308968180314 & 17.2851247093681 & 0.973554355619095 \tabularnewline
58 & 629 & 616.669247047648 & 13.4967200102927 & 12.3307529523525 & -0.145511996603899 \tabularnewline
59 & 628 & 625.716299421715 & 10.4871919194064 & 2.28370057828451 & -0.386221866887624 \tabularnewline
60 & 612 & 618.765868194923 & -1.30959143843142 & -6.76586819492296 & -1.51457532558114 \tabularnewline
61 & 595 & 610.64992690359 & -5.91554618035924 & -15.6499269035903 & -0.591113507981865 \tabularnewline
62 & 597 & 601.551192239516 & -8.06672537159297 & -4.55119223951633 & -0.275781651761463 \tabularnewline
63 & 593 & 590.940843477381 & -9.78206120999331 & 2.05915652261906 & -0.220015702906292 \tabularnewline
64 & 590 & 581.479995825549 & -9.56541593365662 & 8.52000417445081 & 0.027827141558759 \tabularnewline
65 & 580 & 571.568166134162 & -9.7994076334266 & 8.43183386583773 & -0.0300440779980222 \tabularnewline
66 & 574 & 571.955286669993 & -2.91843837402978 & 2.04471333000656 & 0.882396406653817 \tabularnewline
67 & 573 & 581.578300721041 & 5.54561390325894 & -8.57830072104121 & 1.08521040793279 \tabularnewline
68 & 573 & 592.661965072958 & 9.28215093953225 & -19.6619650729582 & 0.479274286089763 \tabularnewline
69 & 620 & 603.206817242927 & 10.1342793227535 & 16.7931827570731 & 0.109322827164236 \tabularnewline
70 & 626 & 613.05239238666 & 9.93943573641825 & 12.9476076133400 & -0.0250000634811991 \tabularnewline
71 & 620 & 614.951857699467 & 4.51325543863037 & 5.04814230053254 & -0.696395792846227 \tabularnewline
72 & 588 & 598.373247866715 & -9.72624926917967 & -10.3732478667150 & -1.82781535662797 \tabularnewline
73 & 566 & 581.781584535404 & -14.3616456426709 & -15.7815845354038 & -0.594729720188353 \tabularnewline
74 & 557 & 561.790582980598 & -18.1581838973138 & -4.79058298059765 & -0.486772819718756 \tabularnewline
75 & 561 & 554.762801491793 & -10.6627074118748 & 6.23719850820688 & 0.96146032673989 \tabularnewline
76 & 549 & 540.61796726573 & -13.0078773771216 & 8.3820327342698 & -0.301126611933101 \tabularnewline
77 & 532 & 526.20343017357 & -13.9563087140215 & 5.79656982643006 & -0.121764744092675 \tabularnewline
78 & 526 & 524.416348167366 & -5.74957568310293 & 1.58365183263392 & 1.05265048824499 \tabularnewline
79 & 511 & 521.485094848084 & -3.85027057989199 & -10.4850948480845 & 0.243535427952933 \tabularnewline
80 & 499 & 519.686061113771 & -2.46855325276647 & -20.6860611137709 & 0.177214938389221 \tabularnewline
81 & 555 & 534.895184022704 & 9.43911159543427 & 20.1048159772958 & 1.52766667527508 \tabularnewline
82 & 565 & 549.414230653588 & 12.8612874982456 & 15.5857693464122 & 0.439126584505279 \tabularnewline
83 & 542 & 537.215288960119 & -4.02399940400554 & 4.78471103988059 & -2.16711763700907 \tabularnewline
84 & 527 & 533.71414653142 & -3.67158597954126 & -6.71414653142028 & 0.0452299888775267 \tabularnewline
85 & 510 & 525.766297575577 & -6.55374828136452 & -15.7662975755769 & -0.369733101340550 \tabularnewline
86 & 514 & 521.314797922948 & -5.13821453477928 & -7.3147979229479 & 0.181507543356025 \tabularnewline
87 & 517 & 510.440442301881 & -8.99637103780048 & 6.55955769811927 & -0.494912773312322 \tabularnewline
88 & 508 & 499.008050715408 & -10.6349774879903 & 8.99194928459157 & -0.210360455133235 \tabularnewline
89 & 493 & 489.782561484323 & -9.68604000342349 & 3.21743851567673 & 0.121819365386316 \tabularnewline
90 & 490 & 486.716331278565 & -5.22804010532139 & 3.2836687214354 & 0.571890039511757 \tabularnewline
91 & 469 & 480.997538120651 & -5.55834842414912 & -11.9975381206509 & -0.042356486505193 \tabularnewline
92 & 478 & 499.15036279227 & 10.3919450967165 & -21.1503627922698 & 2.04565431111206 \tabularnewline
93 & 528 & 510.284871091188 & 10.8913809122429 & 17.7151289088125 & 0.0640732300381689 \tabularnewline
94 & 534 & 512.83735989979 & 5.28216759087847 & 21.1626401002101 & -0.719799275261387 \tabularnewline
95 & 518 & 514.250227903731 & 2.67871508165316 & 3.74977209626936 & -0.334139737656964 \tabularnewline
96 & 506 & 512.926116019943 & -0.0154598685750427 & -6.92611601994354 & -0.345745614193001 \tabularnewline
97 & 502 & 517.29541746451 & 2.93544878511336 & -15.2954174645099 & 0.378522908274332 \tabularnewline
98 & 516 & 521.173019425913 & 3.56897909905578 & -5.17301942591312 & 0.081239702319651 \tabularnewline
99 & 528 & 520.993948873366 & 1.05084492758457 & 7.00605112663387 & -0.323026516109515 \tabularnewline
100 & 533 & 523.197735045716 & 1.82550429924956 & 9.80226495428398 & 0.0994365237780385 \tabularnewline
101 & 536 & 531.912786702685 & 6.4579124067586 & 4.0872132973147 & 0.594641092312073 \tabularnewline
102 & 537 & 535.038210344802 & 4.21655393111134 & 1.96178965519809 & -0.287552698734617 \tabularnewline
103 & 524 & 542.857827982115 & 6.63882554154019 & -18.8578279821153 & 0.310635770803925 \tabularnewline
104 & 536 & 556.076653519053 & 11.0598310116575 & -20.0766535190526 & 0.566993203461195 \tabularnewline
105 & 587 & 567.012517673596 & 10.9765610377891 & 19.9874823264035 & -0.0106826914600242 \tabularnewline
106 & 597 & 575.102959501497 & 9.03771344239461 & 21.8970404985035 & -0.248808416582174 \tabularnewline
107 & 581 & 577.681158037392 & 4.69683904634009 & 3.31884196260819 & -0.557127536576021 \tabularnewline
108 & 564 & 574.360995735981 & -0.69234686158514 & -10.3609957359809 & -0.691552085235307 \tabularnewline
109 & 558 & 573.253973568206 & -0.971055962304933 & -15.2539735682064 & -0.0357495384284554 \tabularnewline
110 & 575 & 577.422130371953 & 2.48051460287308 & -2.4221303719528 & 0.442627136021326 \tabularnewline
111 & 580 & 574.854912909622 & -0.907248253279519 & 5.14508709037761 & -0.434589381591217 \tabularnewline
112 & 575 & 568.147273497916 & -4.80040646808459 & 6.85272650208423 & -0.499689452778211 \tabularnewline
113 & 563 & 558.604399692955 & -7.98543154912492 & 4.39560030704525 & -0.408822994417209 \tabularnewline
114 & 552 & 551.123130970042 & -7.64673959350342 & 0.876869029957608 & 0.0434539859838452 \tabularnewline
115 & 537 & 555.31754813776 & 0.305137789840939 & -18.3175481377603 & 1.01981410865332 \tabularnewline
116 & 545 & 563.864734425462 & 5.83678990236037 & -18.8647344254624 & 0.709433420998137 \tabularnewline
117 & 601 & 578.32732811217 & 11.6241793191984 & 22.6726718878306 & 0.742456890940871 \tabularnewline
118 & 604 & 582.219334075511 & 6.43584504317891 & 21.7806659244891 & -0.665814771336709 \tabularnewline
119 & 586 & 581.614822752245 & 1.71000104319427 & 4.38517724775509 & -0.60652931166299 \tabularnewline
120 & 564 & 576.45248512869 & -2.90439233751419 & -12.4524851286904 & -0.592101856076172 \tabularnewline
121 & 549 & 567.712618180742 & -6.82188812838377 & -18.7126181807424 & -0.502481685409719 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116143&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]464[/C][C]464[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]460[/C][C]460.872492770137[/C][C]-2.89547459139159[/C][C]-0.872492770137255[/C][C]-0.437932871790245[/C][/ROW]
[ROW][C]3[/C][C]467[/C][C]464.534010172414[/C][C]1.66348640315731[/C][C]2.46598982758586[/C][C]0.615780667897815[/C][/ROW]
[ROW][C]4[/C][C]460[/C][C]461.68774765858[/C][C]-1.62908509915099[/C][C]-1.68774765858020[/C][C]-0.427947674290657[/C][/ROW]
[ROW][C]5[/C][C]448[/C][C]450.088267307691[/C][C]-8.77442843993639[/C][C]-2.08826730769144[/C][C]-0.909693445081838[/C][/ROW]
[ROW][C]6[/C][C]443[/C][C]441.925343116354[/C][C]-8.33706936402289[/C][C]1.07465688364624[/C][C]0.0561662564630144[/C][/ROW]
[ROW][C]7[/C][C]436[/C][C]435.436724138177[/C][C]-7.01129814034415[/C][C]0.563275861823064[/C][C]0.170125037983934[/C][/ROW]
[ROW][C]8[/C][C]431[/C][C]430.480636362847[/C][C]-5.53666977674634[/C][C]0.519363637152588[/C][C]0.189170319451585[/C][/ROW]
[ROW][C]9[/C][C]484[/C][C]471.703173065543[/C][C]28.007339812674[/C][C]12.2968269344575[/C][C]4.30339277564414[/C][/ROW]
[ROW][C]10[/C][C]510[/C][C]510.708519696514[/C][C]35.8957696234027[/C][C]-0.708519696513995[/C][C]1.01200030845752[/C][/ROW]
[ROW][C]11[/C][C]513[/C][C]520.600127030981[/C][C]17.2446651071005[/C][C]-7.6001270309806[/C][C]-2.3927324689141[/C][/ROW]
[ROW][C]12[/C][C]503[/C][C]508.516603552013[/C][C]-3.79106131615576[/C][C]-5.51660355201253[/C][C]-2.69865487675498[/C][/ROW]
[ROW][C]13[/C][C]471[/C][C]476.955816234104[/C][C]-23.6100401341582[/C][C]-5.9558162341044[/C][C]-2.57725720878067[/C][/ROW]
[ROW][C]14[/C][C]471[/C][C]468.574757930799[/C][C]-12.8111586014859[/C][C]2.42524206920097[/C][C]1.39288443075299[/C][/ROW]
[ROW][C]15[/C][C]476[/C][C]470.369565626795[/C][C]-2.80071813408438[/C][C]5.63043437320517[/C][C]1.28469357873321[/C][/ROW]
[ROW][C]16[/C][C]475[/C][C]473.49172728349[/C][C]1.29398589587938[/C][C]1.50827271650973[/C][C]0.531794163557651[/C][/ROW]
[ROW][C]17[/C][C]470[/C][C]472.486398899084[/C][C]-0.300047791541838[/C][C]-2.48639889908361[/C][C]-0.203882936100846[/C][/ROW]
[ROW][C]18[/C][C]461[/C][C]460.276644533241[/C][C]-8.50552496646556[/C][C]0.723355466759105[/C][C]-1.05074932943788[/C][/ROW]
[ROW][C]19[/C][C]455[/C][C]451.504181733445[/C][C]-8.68960678903854[/C][C]3.49581826655529[/C][C]-0.0236297959493695[/C][/ROW]
[ROW][C]20[/C][C]456[/C][C]463.012983517492[/C][C]5.25919541927106[/C][C]-7.01298351749206[/C][C]1.78959414917582[/C][/ROW]
[ROW][C]21[/C][C]517[/C][C]502.016714254175[/C][C]28.5685810069758[/C][C]14.9832857458246[/C][C]2.99021699833202[/C][/ROW]
[ROW][C]22[/C][C]525[/C][C]524.701499010176[/C][C]24.5046574221663[/C][C]0.29850098982403[/C][C]-0.521391511920852[/C][/ROW]
[ROW][C]23[/C][C]523[/C][C]528.333520876983[/C][C]10.0964013485292[/C][C]-5.33352087698307[/C][C]-1.84842075377375[/C][/ROW]
[ROW][C]24[/C][C]519[/C][C]519.840949627513[/C][C]-2.71864902685499[/C][C]-0.840949627513182[/C][C]-1.64575978008237[/C][/ROW]
[ROW][C]25[/C][C]509[/C][C]517.73675148373[/C][C]-2.29467521402451[/C][C]-8.73675148372991[/C][C]0.0546375838952372[/C][/ROW]
[ROW][C]26[/C][C]512[/C][C]514.824267782549[/C][C]-2.72001839899528[/C][C]-2.82426778254896[/C][C]-0.0545297429713751[/C][/ROW]
[ROW][C]27[/C][C]519[/C][C]515.249903836116[/C][C]-0.579430341831003[/C][C]3.75009616388409[/C][C]0.274414713557978[/C][/ROW]
[ROW][C]28[/C][C]517[/C][C]514.634088660447[/C][C]-0.604234923553658[/C][C]2.36591133955312[/C][C]-0.00320066640428567[/C][/ROW]
[ROW][C]29[/C][C]510[/C][C]508.232503067488[/C][C]-4.57314717576175[/C][C]1.76749693251153[/C][C]-0.509255256277633[/C][/ROW]
[ROW][C]30[/C][C]509[/C][C]505.035966606301[/C][C]-3.63381599131519[/C][C]3.96403339369906[/C][C]0.120258415067751[/C][/ROW]
[ROW][C]31[/C][C]501[/C][C]503.177114186951[/C][C]-2.42386161564514[/C][C]-2.17711418695127[/C][C]0.155220815350135[/C][/ROW]
[ROW][C]32[/C][C]507[/C][C]520.374795708636[/C][C]10.9687285515189[/C][C]-13.3747957086362[/C][C]1.71847366571448[/C][/ROW]
[ROW][C]33[/C][C]569[/C][C]549.58446892411[/C][C]23.4266267215222[/C][C]19.4155310758902[/C][C]1.59816642606443[/C][/ROW]
[ROW][C]34[/C][C]580[/C][C]574.254220882156[/C][C]24.2755173318819[/C][C]5.74577911784408[/C][C]0.108906741015679[/C][/ROW]
[ROW][C]35[/C][C]578[/C][C]582.340073100867[/C][C]13.2287383420504[/C][C]-4.34007310086673[/C][C]-1.41733633240608[/C][/ROW]
[ROW][C]36[/C][C]565[/C][C]571.938643506312[/C][C]-2.88616961764111[/C][C]-6.9386435063124[/C][C]-2.06999186436671[/C][/ROW]
[ROW][C]37[/C][C]547[/C][C]558.093691666969[/C][C]-10.3670701403794[/C][C]-11.0936916669689[/C][C]-0.961637941388303[/C][/ROW]
[ROW][C]38[/C][C]555[/C][C]556.559279037694[/C][C]-4.34959108040741[/C][C]-1.55927903769359[/C][C]0.771212589373182[/C][/ROW]
[ROW][C]39[/C][C]562[/C][C]557.1554401038[/C][C]-0.9992127287295[/C][C]4.84455989620052[/C][C]0.429606186050208[/C][/ROW]
[ROW][C]40[/C][C]561[/C][C]555.978192899712[/C][C]-1.11988511959036[/C][C]5.02180710028839[/C][C]-0.0155283843019614[/C][/ROW]
[ROW][C]41[/C][C]555[/C][C]552.22108286149[/C][C]-2.91284824030054[/C][C]2.77891713851007[/C][C]-0.230222160945093[/C][/ROW]
[ROW][C]42[/C][C]544[/C][C]541.176329963348[/C][C]-8.43431173092106[/C][C]2.82367003665162[/C][C]-0.707371001497586[/C][/ROW]
[ROW][C]43[/C][C]537[/C][C]542.42627656832[/C][C]-1.86763503505914[/C][C]-5.4262765683195[/C][C]0.842033576111527[/C][/ROW]
[ROW][C]44[/C][C]543[/C][C]559.01818927713[/C][C]10.6571149330045[/C][C]-16.0181892771299[/C][C]1.6069655604421[/C][/ROW]
[ROW][C]45[/C][C]594[/C][C]575.750806465718[/C][C]14.7820273942630[/C][C]18.2491935342818[/C][C]0.529188180035347[/C][/ROW]
[ROW][C]46[/C][C]611[/C][C]598.737205529999[/C][C]20.3518503113943[/C][C]12.2627944700010[/C][C]0.714553918245582[/C][/ROW]
[ROW][C]47[/C][C]613[/C][C]611.942306653027[/C][C]15.5026395108704[/C][C]1.05769334697272[/C][C]-0.622255653944599[/C][/ROW]
[ROW][C]48[/C][C]611[/C][C]617.022281606431[/C][C]8.4306270380436[/C][C]-6.02228160643142[/C][C]-0.908207095891904[/C][/ROW]
[ROW][C]49[/C][C]594[/C][C]611.645089643879[/C][C]-0.943975771545664[/C][C]-17.6450896438786[/C][C]-1.20374580176994[/C][/ROW]
[ROW][C]50[/C][C]595[/C][C]600.829579681121[/C][C]-7.63495681938113[/C][C]-5.82957968112068[/C][C]-0.857654462791544[/C][/ROW]
[ROW][C]51[/C][C]591[/C][C]587.414745750952[/C][C]-11.5397692980889[/C][C]3.58525424904767[/C][C]-0.500792090815439[/C][/ROW]
[ROW][C]52[/C][C]589[/C][C]580.456403893974[/C][C]-8.44387208707841[/C][C]8.54359610602583[/C][C]0.397897529985553[/C][/ROW]
[ROW][C]53[/C][C]584[/C][C]576.149652939137[/C][C]-5.64234888469052[/C][C]7.85034706086335[/C][C]0.359741723277606[/C][/ROW]
[ROW][C]54[/C][C]573[/C][C]571.914070307972[/C][C]-4.69007525673535[/C][C]1.08592969202786[/C][C]0.122070388582348[/C][/ROW]
[ROW][C]55[/C][C]567[/C][C]575.461676723053[/C][C]0.879754214437346[/C][C]-8.46167672305341[/C][C]0.71411295160094[/C][/ROW]
[ROW][C]56[/C][C]569[/C][C]585.455236740751[/C][C]7.04241106297723[/C][C]-16.4552367407509[/C][C]0.790564126220589[/C][/ROW]
[ROW][C]57[/C][C]621[/C][C]603.714875290632[/C][C]14.6308968180314[/C][C]17.2851247093681[/C][C]0.973554355619095[/C][/ROW]
[ROW][C]58[/C][C]629[/C][C]616.669247047648[/C][C]13.4967200102927[/C][C]12.3307529523525[/C][C]-0.145511996603899[/C][/ROW]
[ROW][C]59[/C][C]628[/C][C]625.716299421715[/C][C]10.4871919194064[/C][C]2.28370057828451[/C][C]-0.386221866887624[/C][/ROW]
[ROW][C]60[/C][C]612[/C][C]618.765868194923[/C][C]-1.30959143843142[/C][C]-6.76586819492296[/C][C]-1.51457532558114[/C][/ROW]
[ROW][C]61[/C][C]595[/C][C]610.64992690359[/C][C]-5.91554618035924[/C][C]-15.6499269035903[/C][C]-0.591113507981865[/C][/ROW]
[ROW][C]62[/C][C]597[/C][C]601.551192239516[/C][C]-8.06672537159297[/C][C]-4.55119223951633[/C][C]-0.275781651761463[/C][/ROW]
[ROW][C]63[/C][C]593[/C][C]590.940843477381[/C][C]-9.78206120999331[/C][C]2.05915652261906[/C][C]-0.220015702906292[/C][/ROW]
[ROW][C]64[/C][C]590[/C][C]581.479995825549[/C][C]-9.56541593365662[/C][C]8.52000417445081[/C][C]0.027827141558759[/C][/ROW]
[ROW][C]65[/C][C]580[/C][C]571.568166134162[/C][C]-9.7994076334266[/C][C]8.43183386583773[/C][C]-0.0300440779980222[/C][/ROW]
[ROW][C]66[/C][C]574[/C][C]571.955286669993[/C][C]-2.91843837402978[/C][C]2.04471333000656[/C][C]0.882396406653817[/C][/ROW]
[ROW][C]67[/C][C]573[/C][C]581.578300721041[/C][C]5.54561390325894[/C][C]-8.57830072104121[/C][C]1.08521040793279[/C][/ROW]
[ROW][C]68[/C][C]573[/C][C]592.661965072958[/C][C]9.28215093953225[/C][C]-19.6619650729582[/C][C]0.479274286089763[/C][/ROW]
[ROW][C]69[/C][C]620[/C][C]603.206817242927[/C][C]10.1342793227535[/C][C]16.7931827570731[/C][C]0.109322827164236[/C][/ROW]
[ROW][C]70[/C][C]626[/C][C]613.05239238666[/C][C]9.93943573641825[/C][C]12.9476076133400[/C][C]-0.0250000634811991[/C][/ROW]
[ROW][C]71[/C][C]620[/C][C]614.951857699467[/C][C]4.51325543863037[/C][C]5.04814230053254[/C][C]-0.696395792846227[/C][/ROW]
[ROW][C]72[/C][C]588[/C][C]598.373247866715[/C][C]-9.72624926917967[/C][C]-10.3732478667150[/C][C]-1.82781535662797[/C][/ROW]
[ROW][C]73[/C][C]566[/C][C]581.781584535404[/C][C]-14.3616456426709[/C][C]-15.7815845354038[/C][C]-0.594729720188353[/C][/ROW]
[ROW][C]74[/C][C]557[/C][C]561.790582980598[/C][C]-18.1581838973138[/C][C]-4.79058298059765[/C][C]-0.486772819718756[/C][/ROW]
[ROW][C]75[/C][C]561[/C][C]554.762801491793[/C][C]-10.6627074118748[/C][C]6.23719850820688[/C][C]0.96146032673989[/C][/ROW]
[ROW][C]76[/C][C]549[/C][C]540.61796726573[/C][C]-13.0078773771216[/C][C]8.3820327342698[/C][C]-0.301126611933101[/C][/ROW]
[ROW][C]77[/C][C]532[/C][C]526.20343017357[/C][C]-13.9563087140215[/C][C]5.79656982643006[/C][C]-0.121764744092675[/C][/ROW]
[ROW][C]78[/C][C]526[/C][C]524.416348167366[/C][C]-5.74957568310293[/C][C]1.58365183263392[/C][C]1.05265048824499[/C][/ROW]
[ROW][C]79[/C][C]511[/C][C]521.485094848084[/C][C]-3.85027057989199[/C][C]-10.4850948480845[/C][C]0.243535427952933[/C][/ROW]
[ROW][C]80[/C][C]499[/C][C]519.686061113771[/C][C]-2.46855325276647[/C][C]-20.6860611137709[/C][C]0.177214938389221[/C][/ROW]
[ROW][C]81[/C][C]555[/C][C]534.895184022704[/C][C]9.43911159543427[/C][C]20.1048159772958[/C][C]1.52766667527508[/C][/ROW]
[ROW][C]82[/C][C]565[/C][C]549.414230653588[/C][C]12.8612874982456[/C][C]15.5857693464122[/C][C]0.439126584505279[/C][/ROW]
[ROW][C]83[/C][C]542[/C][C]537.215288960119[/C][C]-4.02399940400554[/C][C]4.78471103988059[/C][C]-2.16711763700907[/C][/ROW]
[ROW][C]84[/C][C]527[/C][C]533.71414653142[/C][C]-3.67158597954126[/C][C]-6.71414653142028[/C][C]0.0452299888775267[/C][/ROW]
[ROW][C]85[/C][C]510[/C][C]525.766297575577[/C][C]-6.55374828136452[/C][C]-15.7662975755769[/C][C]-0.369733101340550[/C][/ROW]
[ROW][C]86[/C][C]514[/C][C]521.314797922948[/C][C]-5.13821453477928[/C][C]-7.3147979229479[/C][C]0.181507543356025[/C][/ROW]
[ROW][C]87[/C][C]517[/C][C]510.440442301881[/C][C]-8.99637103780048[/C][C]6.55955769811927[/C][C]-0.494912773312322[/C][/ROW]
[ROW][C]88[/C][C]508[/C][C]499.008050715408[/C][C]-10.6349774879903[/C][C]8.99194928459157[/C][C]-0.210360455133235[/C][/ROW]
[ROW][C]89[/C][C]493[/C][C]489.782561484323[/C][C]-9.68604000342349[/C][C]3.21743851567673[/C][C]0.121819365386316[/C][/ROW]
[ROW][C]90[/C][C]490[/C][C]486.716331278565[/C][C]-5.22804010532139[/C][C]3.2836687214354[/C][C]0.571890039511757[/C][/ROW]
[ROW][C]91[/C][C]469[/C][C]480.997538120651[/C][C]-5.55834842414912[/C][C]-11.9975381206509[/C][C]-0.042356486505193[/C][/ROW]
[ROW][C]92[/C][C]478[/C][C]499.15036279227[/C][C]10.3919450967165[/C][C]-21.1503627922698[/C][C]2.04565431111206[/C][/ROW]
[ROW][C]93[/C][C]528[/C][C]510.284871091188[/C][C]10.8913809122429[/C][C]17.7151289088125[/C][C]0.0640732300381689[/C][/ROW]
[ROW][C]94[/C][C]534[/C][C]512.83735989979[/C][C]5.28216759087847[/C][C]21.1626401002101[/C][C]-0.719799275261387[/C][/ROW]
[ROW][C]95[/C][C]518[/C][C]514.250227903731[/C][C]2.67871508165316[/C][C]3.74977209626936[/C][C]-0.334139737656964[/C][/ROW]
[ROW][C]96[/C][C]506[/C][C]512.926116019943[/C][C]-0.0154598685750427[/C][C]-6.92611601994354[/C][C]-0.345745614193001[/C][/ROW]
[ROW][C]97[/C][C]502[/C][C]517.29541746451[/C][C]2.93544878511336[/C][C]-15.2954174645099[/C][C]0.378522908274332[/C][/ROW]
[ROW][C]98[/C][C]516[/C][C]521.173019425913[/C][C]3.56897909905578[/C][C]-5.17301942591312[/C][C]0.081239702319651[/C][/ROW]
[ROW][C]99[/C][C]528[/C][C]520.993948873366[/C][C]1.05084492758457[/C][C]7.00605112663387[/C][C]-0.323026516109515[/C][/ROW]
[ROW][C]100[/C][C]533[/C][C]523.197735045716[/C][C]1.82550429924956[/C][C]9.80226495428398[/C][C]0.0994365237780385[/C][/ROW]
[ROW][C]101[/C][C]536[/C][C]531.912786702685[/C][C]6.4579124067586[/C][C]4.0872132973147[/C][C]0.594641092312073[/C][/ROW]
[ROW][C]102[/C][C]537[/C][C]535.038210344802[/C][C]4.21655393111134[/C][C]1.96178965519809[/C][C]-0.287552698734617[/C][/ROW]
[ROW][C]103[/C][C]524[/C][C]542.857827982115[/C][C]6.63882554154019[/C][C]-18.8578279821153[/C][C]0.310635770803925[/C][/ROW]
[ROW][C]104[/C][C]536[/C][C]556.076653519053[/C][C]11.0598310116575[/C][C]-20.0766535190526[/C][C]0.566993203461195[/C][/ROW]
[ROW][C]105[/C][C]587[/C][C]567.012517673596[/C][C]10.9765610377891[/C][C]19.9874823264035[/C][C]-0.0106826914600242[/C][/ROW]
[ROW][C]106[/C][C]597[/C][C]575.102959501497[/C][C]9.03771344239461[/C][C]21.8970404985035[/C][C]-0.248808416582174[/C][/ROW]
[ROW][C]107[/C][C]581[/C][C]577.681158037392[/C][C]4.69683904634009[/C][C]3.31884196260819[/C][C]-0.557127536576021[/C][/ROW]
[ROW][C]108[/C][C]564[/C][C]574.360995735981[/C][C]-0.69234686158514[/C][C]-10.3609957359809[/C][C]-0.691552085235307[/C][/ROW]
[ROW][C]109[/C][C]558[/C][C]573.253973568206[/C][C]-0.971055962304933[/C][C]-15.2539735682064[/C][C]-0.0357495384284554[/C][/ROW]
[ROW][C]110[/C][C]575[/C][C]577.422130371953[/C][C]2.48051460287308[/C][C]-2.4221303719528[/C][C]0.442627136021326[/C][/ROW]
[ROW][C]111[/C][C]580[/C][C]574.854912909622[/C][C]-0.907248253279519[/C][C]5.14508709037761[/C][C]-0.434589381591217[/C][/ROW]
[ROW][C]112[/C][C]575[/C][C]568.147273497916[/C][C]-4.80040646808459[/C][C]6.85272650208423[/C][C]-0.499689452778211[/C][/ROW]
[ROW][C]113[/C][C]563[/C][C]558.604399692955[/C][C]-7.98543154912492[/C][C]4.39560030704525[/C][C]-0.408822994417209[/C][/ROW]
[ROW][C]114[/C][C]552[/C][C]551.123130970042[/C][C]-7.64673959350342[/C][C]0.876869029957608[/C][C]0.0434539859838452[/C][/ROW]
[ROW][C]115[/C][C]537[/C][C]555.31754813776[/C][C]0.305137789840939[/C][C]-18.3175481377603[/C][C]1.01981410865332[/C][/ROW]
[ROW][C]116[/C][C]545[/C][C]563.864734425462[/C][C]5.83678990236037[/C][C]-18.8647344254624[/C][C]0.709433420998137[/C][/ROW]
[ROW][C]117[/C][C]601[/C][C]578.32732811217[/C][C]11.6241793191984[/C][C]22.6726718878306[/C][C]0.742456890940871[/C][/ROW]
[ROW][C]118[/C][C]604[/C][C]582.219334075511[/C][C]6.43584504317891[/C][C]21.7806659244891[/C][C]-0.665814771336709[/C][/ROW]
[ROW][C]119[/C][C]586[/C][C]581.614822752245[/C][C]1.71000104319427[/C][C]4.38517724775509[/C][C]-0.60652931166299[/C][/ROW]
[ROW][C]120[/C][C]564[/C][C]576.45248512869[/C][C]-2.90439233751419[/C][C]-12.4524851286904[/C][C]-0.592101856076172[/C][/ROW]
[ROW][C]121[/C][C]549[/C][C]567.712618180742[/C][C]-6.82188812838377[/C][C]-18.7126181807424[/C][C]-0.502481685409719[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116143&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116143&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
1464464000
2460460.872492770137-2.89547459139159-0.872492770137255-0.437932871790245
3467464.5340101724141.663486403157312.465989827585860.615780667897815
4460461.68774765858-1.62908509915099-1.68774765858020-0.427947674290657
5448450.088267307691-8.77442843993639-2.08826730769144-0.909693445081838
6443441.925343116354-8.337069364022891.074656883646240.0561662564630144
7436435.436724138177-7.011298140344150.5632758618230640.170125037983934
8431430.480636362847-5.536669776746340.5193636371525880.189170319451585
9484471.70317306554328.00733981267412.29682693445754.30339277564414
10510510.70851969651435.8957696234027-0.7085196965139951.01200030845752
11513520.60012703098117.2446651071005-7.6001270309806-2.3927324689141
12503508.516603552013-3.79106131615576-5.51660355201253-2.69865487675498
13471476.955816234104-23.6100401341582-5.9558162341044-2.57725720878067
14471468.574757930799-12.81115860148592.425242069200971.39288443075299
15476470.369565626795-2.800718134084385.630434373205171.28469357873321
16475473.491727283491.293985895879381.508272716509730.531794163557651
17470472.486398899084-0.300047791541838-2.48639889908361-0.203882936100846
18461460.276644533241-8.505524966465560.723355466759105-1.05074932943788
19455451.504181733445-8.689606789038543.49581826655529-0.0236297959493695
20456463.0129835174925.25919541927106-7.012983517492061.78959414917582
21517502.01671425417528.568581006975814.98328574582462.99021699833202
22525524.70149901017624.50465742216630.29850098982403-0.521391511920852
23523528.33352087698310.0964013485292-5.33352087698307-1.84842075377375
24519519.840949627513-2.71864902685499-0.840949627513182-1.64575978008237
25509517.73675148373-2.29467521402451-8.736751483729910.0546375838952372
26512514.824267782549-2.72001839899528-2.82426778254896-0.0545297429713751
27519515.249903836116-0.5794303418310033.750096163884090.274414713557978
28517514.634088660447-0.6042349235536582.36591133955312-0.00320066640428567
29510508.232503067488-4.573147175761751.76749693251153-0.509255256277633
30509505.035966606301-3.633815991315193.964033393699060.120258415067751
31501503.177114186951-2.42386161564514-2.177114186951270.155220815350135
32507520.37479570863610.9687285515189-13.37479570863621.71847366571448
33569549.5844689241123.426626721522219.41553107589021.59816642606443
34580574.25422088215624.27551733188195.745779117844080.108906741015679
35578582.34007310086713.2287383420504-4.34007310086673-1.41733633240608
36565571.938643506312-2.88616961764111-6.9386435063124-2.06999186436671
37547558.093691666969-10.3670701403794-11.0936916669689-0.961637941388303
38555556.559279037694-4.34959108040741-1.559279037693590.771212589373182
39562557.1554401038-0.99921272872954.844559896200520.429606186050208
40561555.978192899712-1.119885119590365.02180710028839-0.0155283843019614
41555552.22108286149-2.912848240300542.77891713851007-0.230222160945093
42544541.176329963348-8.434311730921062.82367003665162-0.707371001497586
43537542.42627656832-1.86763503505914-5.42627656831950.842033576111527
44543559.0181892771310.6571149330045-16.01818927712991.6069655604421
45594575.75080646571814.782027394263018.24919353428180.529188180035347
46611598.73720552999920.351850311394312.26279447000100.714553918245582
47613611.94230665302715.50263951087041.05769334697272-0.622255653944599
48611617.0222816064318.4306270380436-6.02228160643142-0.908207095891904
49594611.645089643879-0.943975771545664-17.6450896438786-1.20374580176994
50595600.829579681121-7.63495681938113-5.82957968112068-0.857654462791544
51591587.414745750952-11.53976929808893.58525424904767-0.500792090815439
52589580.456403893974-8.443872087078418.543596106025830.397897529985553
53584576.149652939137-5.642348884690527.850347060863350.359741723277606
54573571.914070307972-4.690075256735351.085929692027860.122070388582348
55567575.4616767230530.879754214437346-8.461676723053410.71411295160094
56569585.4552367407517.04241106297723-16.45523674075090.790564126220589
57621603.71487529063214.630896818031417.28512470936810.973554355619095
58629616.66924704764813.496720010292712.3307529523525-0.145511996603899
59628625.71629942171510.48719191940642.28370057828451-0.386221866887624
60612618.765868194923-1.30959143843142-6.76586819492296-1.51457532558114
61595610.64992690359-5.91554618035924-15.6499269035903-0.591113507981865
62597601.551192239516-8.06672537159297-4.55119223951633-0.275781651761463
63593590.940843477381-9.782061209993312.05915652261906-0.220015702906292
64590581.479995825549-9.565415933656628.520004174450810.027827141558759
65580571.568166134162-9.79940763342668.43183386583773-0.0300440779980222
66574571.955286669993-2.918438374029782.044713330006560.882396406653817
67573581.5783007210415.54561390325894-8.578300721041211.08521040793279
68573592.6619650729589.28215093953225-19.66196507295820.479274286089763
69620603.20681724292710.134279322753516.79318275707310.109322827164236
70626613.052392386669.9394357364182512.9476076133400-0.0250000634811991
71620614.9518576994674.513255438630375.04814230053254-0.696395792846227
72588598.373247866715-9.72624926917967-10.3732478667150-1.82781535662797
73566581.781584535404-14.3616456426709-15.7815845354038-0.594729720188353
74557561.790582980598-18.1581838973138-4.79058298059765-0.486772819718756
75561554.762801491793-10.66270741187486.237198508206880.96146032673989
76549540.61796726573-13.00787737712168.3820327342698-0.301126611933101
77532526.20343017357-13.95630871402155.79656982643006-0.121764744092675
78526524.416348167366-5.749575683102931.583651832633921.05265048824499
79511521.485094848084-3.85027057989199-10.48509484808450.243535427952933
80499519.686061113771-2.46855325276647-20.68606111377090.177214938389221
81555534.8951840227049.4391115954342720.10481597729581.52766667527508
82565549.41423065358812.861287498245615.58576934641220.439126584505279
83542537.215288960119-4.023999404005544.78471103988059-2.16711763700907
84527533.71414653142-3.67158597954126-6.714146531420280.0452299888775267
85510525.766297575577-6.55374828136452-15.7662975755769-0.369733101340550
86514521.314797922948-5.13821453477928-7.31479792294790.181507543356025
87517510.440442301881-8.996371037800486.55955769811927-0.494912773312322
88508499.008050715408-10.63497748799038.99194928459157-0.210360455133235
89493489.782561484323-9.686040003423493.217438515676730.121819365386316
90490486.716331278565-5.228040105321393.28366872143540.571890039511757
91469480.997538120651-5.55834842414912-11.9975381206509-0.042356486505193
92478499.1503627922710.3919450967165-21.15036279226982.04565431111206
93528510.28487109118810.891380912242917.71512890881250.0640732300381689
94534512.837359899795.2821675908784721.1626401002101-0.719799275261387
95518514.2502279037312.678715081653163.74977209626936-0.334139737656964
96506512.926116019943-0.0154598685750427-6.92611601994354-0.345745614193001
97502517.295417464512.93544878511336-15.29541746450990.378522908274332
98516521.1730194259133.56897909905578-5.173019425913120.081239702319651
99528520.9939488733661.050844927584577.00605112663387-0.323026516109515
100533523.1977350457161.825504299249569.802264954283980.0994365237780385
101536531.9127867026856.45791240675864.08721329731470.594641092312073
102537535.0382103448024.216553931111341.96178965519809-0.287552698734617
103524542.8578279821156.63882554154019-18.85782798211530.310635770803925
104536556.07665351905311.0598310116575-20.07665351905260.566993203461195
105587567.01251767359610.976561037789119.9874823264035-0.0106826914600242
106597575.1029595014979.0377134423946121.8970404985035-0.248808416582174
107581577.6811580373924.696839046340093.31884196260819-0.557127536576021
108564574.360995735981-0.69234686158514-10.3609957359809-0.691552085235307
109558573.253973568206-0.971055962304933-15.2539735682064-0.0357495384284554
110575577.4221303719532.48051460287308-2.42213037195280.442627136021326
111580574.854912909622-0.9072482532795195.14508709037761-0.434589381591217
112575568.147273497916-4.800406468084596.85272650208423-0.499689452778211
113563558.604399692955-7.985431549124924.39560030704525-0.408822994417209
114552551.123130970042-7.646739593503420.8768690299576080.0434539859838452
115537555.317548137760.305137789840939-18.31754813776031.01981410865332
116545563.8647344254625.83678990236037-18.86473442546240.709433420998137
117601578.3273281121711.624179319198422.67267188783060.742456890940871
118604582.2193340755116.4358450431789121.7806659244891-0.665814771336709
119586581.6148227522451.710001043194274.38517724775509-0.60652931166299
120564576.45248512869-2.90439233751419-12.4524851286904-0.592101856076172
121549567.712618180742-6.82188812838377-18.7126181807424-0.502481685409719



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')