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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, 28 Dec 2010 11:49:59 +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/28/t1293536908i1g8zjvaur187cd.htm/, Retrieved Thu, 31 Oct 2024 23:48:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=116299, Retrieved Thu, 31 Oct 2024 23:48:26 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact168
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [Structural Time Series Models] [Unemployment] [2010-11-30 13:26:46] [b98453cac15ba1066b407e146608df68]
- R  D      [Structural Time Series Models] [Structural Time S...] [2010-12-28 11:49:59] [062de5fc17e30860c0960288bdb996a8] [Current]
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Dataseries X:
621
587
655
517
646
657
382
345
625
654
606
510
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
813
793
978
775
797
946
594
438
1022
868
795




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 6 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116299&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]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116299&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116299&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 time6 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Structural Time Series Model
tObservedLevelSlopeSeasonalStand. Residuals
1621621000
2587608.77098293182-0.457029630606978-15.1574639493343-0.46781160979471
3655624.5852722197810.84124585290168225.40033350528640.428890000761588
4517586.465726157435-1.92478391657941-55.4286075192865-1.18105343404841
5646599.850778532084-1.0861238271918239.67893504150960.522285943566346
6657622.25515888051-0.10525844170840024.02155486551930.845927991724805
7382546.008355326935-2.67664199316742-128.113390545872-2.80183895345711
8345459.943035686867-5.13740127537003-75.120546104286-3.09400965205076
9625494.706815567802-4.04485749192906111.1423561679581.48496242341417
10654556.308470751571-2.3185183065184366.12518194531682.44557844414699
11606587.525480990667-1.457981427159962.337426040310281.24971155673083
12510568.697202855142-1.89552278121732-50.3357120615608-0.64738744682891
13614572.250500305224-2.0861018505868538.92125237872270.230969132616398
14647600.983265593104-1.9900997645981731.54955905062491.17235415241348
15580586.226037070328-2.35599813800913-1.03972473354552-0.433850432379405
16614614.342559589628-1.25319274740779-12.41702034978911.02770463716922
17636612.031960869023-1.2900199622693924.4031411983240-0.0369297761523492
18388511.692876005303-4.303396568697-81.2797777888639-3.57073956757405
19356466.307425345646-5.37321938506412-92.2585362686458-1.50955357530999
20639542.802123574905-3.5102615106335459.72565108006573.03785386079080
21753602.841823609167-2.2078727964014121.6446638929492.36909371732910
22611603.258776300688-2.159079543636936.558973157308870.0980474355147776
23639611.819851252373-1.9881540790763722.33645198266410.400822062084261
24630638.442512506838-1.67518347796536-21.44729617608561.07341239749444
25586622.133358808472-1.69302677303452-29.3440153369266-0.56116244342708
26695630.205336756158-1.6132588962070560.3808654662040.365476329508416
27552608.750192802577-1.97329989298572-48.2275917249707-0.71296342829598
28619600.689339908611-2.1194867930090220.8596004778360-0.215358333088907
29681594.383044764793-2.2266770477639288.3789033877845-0.149342826050015
30421562.111760846053-2.96508938111127-128.245552105742-1.08870869752609
31307524.024981542537-3.75439885877948-201.732348792529-1.28987195686643
32754580.767433379845-2.53303674714980146.5803205608592.24120703380798
33690589.542584793103-2.3293896658794995.43934176685760.420932197722659
34644609.851502485735-1.9713094282745424.05950765331500.844552864550726
35643621.776542187702-1.7856013087011515.01206554861080.519041157009959
36608623.540824294328-1.74782442418364-17.13272747600610.132858990255110
37651640.94101018189-1.582205768016071.446039560927860.718483062662077
38691635.631699085548-1.6233244369828757.0258623707766-0.138443997933265
39627643.483111289272-1.47791578234435-20.60804721534000.345998611251437
40634630.627411607222-1.692178337934958.25242546629732-0.411386558057923
41731623.946802266965-1.79447254940086109.188924797363-0.180569852188678
42475613.686350554475-1.96866576009505-135.035385432936-0.308747886460838
43337600.806323844922-2.18271197697785-259.054757747277-0.401258546006242
44803619.097284026921-1.81128030894418174.9125558026090.75771959755711
45722630.18207267864-1.5990338175648386.12231281809330.479133557912105
46590615.453374009324-1.79214434148784-19.6337033381906-0.488783055232906
47724643.120877435123-1.4090020508072367.79197172890041.09784679736256
48627652.16828426199-1.28745567322089-29.81987026185830.389928755431202
49696666.339324084548-1.1150824710921822.78835523610920.575971901724822
50825701.292844903496-0.671393384782864107.7720658076771.3365663954281
51677704.123634514612-0.620918729099026-28.65507495991370.128719650590822
52656684.98296158411-0.924748997579368-20.9516605022626-0.676826656574083
53785676.060030419167-1.06572357526415112.400273080222-0.292168275896699
54412633.10719804537-1.81711738242252-202.930856972486-1.53555949633318
55352621.818262874004-1.98298519254837-265.685510422510-0.348938324879473
56839634.405431249039-1.74108437046113198.2027538248260.539045358103248
57729639.357579730207-1.6377162893942186.69397545416480.248332286286509
58696671.15813964896-1.1620968244313910.07201429609031.24259482556811
59641651.280535083776-1.40775901034266-2.00071385198322-0.696024750007052
60695675.560517673485-1.089780420441738.068728491833650.955428323014933
61638667.57848435152-1.17418726961684-26.5309242129937-0.256055514260866
62762659.300742226267-1.26566166259239105.828715770000-0.263065293459633
63635652.278610715343-1.34626880522629-14.7563856761802-0.212260059134228
64721672.985772032546-1.0121085567364838.39638555631510.810567366105447
65854689.751806449676-0.728500241438924156.5087978886570.65301587060007
66418671.208813117774-1.01793830502444-245.44387303271-0.655482137368702
67367659.528943872454-1.18917309756548-287.867428218858-0.393414750224318
68824649.957025133187-1.31922044538525177.720438402894-0.310153172232603
69687637.734297143313-1.4801739548318154.0623919102231-0.404212492074054
70601618.137899936111-1.73309585227055-9.15290568198557-0.672387330779044
71676636.274103360507-1.4694764619362130.95868544805010.737858622326889
72740667.135621242642-1.0545225442345058.59497413817071.20058086039231
73691687.600410432093-0.77940423008278-6.089847078527060.798392170950982
74683658.013798118804-1.1580272896839437.6614294848401-1.06675151639112
75594641.188822704551-1.37382979987935-40.3163121777086-0.578763224685468
76729653.955892675977-1.1695365789146368.85757464928390.52141944534227
77731625.995007377817-1.57011764564309116.711920097518-0.98738172003967
78386618.012122023127-1.66741466902773-229.208483631222-0.236542346122302
79331613.118539412001-1.71610409726735-280.705660102587-0.119194125160116
80706582.451149916966-2.14363322441074136.254200402822-1.07143670154653
81715599.305588164758-1.87207518228141107.3418356139240.704006055071197
82657629.63961206741-1.4281520279669613.18237119479941.19443422218725
83653639.615028048671-1.275934326201738.361108659598370.423087885211165
84642624.650954562691-1.4550425624590323.3801769942602-0.507818262702407
85643621.480329145757-1.4774415117903722.2751339716811-0.0636087685384157
86718635.388778069596-1.2734000465051675.84496149386980.569813235567022
87654655.976837804265-0.97553666369995-11.57397560141580.80851384281048
88632624.298641517965-1.4060918681453521.1587647339096-1.13425862673243
89731612.050837209052-1.56152856199170123.697585528878-0.400387398236031
90392609.826912515841-1.57112542773569-217.536734987818-0.0244731298740309
91344610.519622101672-1.53840237875069-267.5123001973050.0837185905122837
92792630.867041236609-1.22625500767058151.5240730718990.810194216984395
93852676.749855698353-0.568159785211801154.5429341845001.74542190475153
94649674.149377770956-0.595899610253425-24.2552797243459-0.0753408918796882
95629654.52758315293-0.850391654729315-17.1531932033344-0.705501806771062
96685653.712202098903-0.84992911902164631.27238641385280.00129817759552111
97617638.409682026268-1.04055275350547-15.0500601187458-0.535692805971087
98715636.419770257486-1.0531857703237978.997646976741-0.035164371491228
99715656.862829514019-0.76257603445343948.69538025794990.795577263933655
100629643.810657405746-0.931642481550809-9.4176764466217-0.454545437421962
101916688.768023886694-0.291480656918096207.1044699486071.69686083789203
102531720.2279131641010.154615745349867-203.1556683036371.17434988968461
103357704.737612000818-0.0649873767470255-340.871211899862-0.578952297308622
104917728.9073089838210.272434359994997177.4482326408910.897390366024121
105828714.2623742732520.0674211954527441120.294529985932-0.552679284685347
106708712.7914172767770.0465858003787882-4.11484250426232-0.0570172389326116
107858762.2424044712110.70723645952917274.02250708959431.83141410520292
108775764.7487605589540.7311063396096649.459681887003720.0666915443393308
109785778.8563769389140.9083442295049440.2596800392945480.49573786647434
1101006833.8051703848981.62796873335074148.4353284231412.00193181356576
111789819.1258530076791.40878172503416-22.9605532293672-0.60381381317988
112734804.9805576549641.19750128286981-64.1499726398601-0.5757023262697
113906775.4310017967470.776192668393245144.067515816919-1.13786546360258
114532756.1910262411270.500642625919868-215.403299092785-0.740830848502529
115387748.1832488883480.383549058208852-357.446617512852-0.315009315688191
116991766.2587409229550.625836602479941216.9679424139590.655265634842063
117841760.6375602794320.54097214436416783.108465096877-0.231454166914231
118892813.2391124158171.2417574911098355.86803073970571.92933611495761
119782794.6386415974450.976797113598297-3.91141493290453-0.735431409482744
120813800.4336460834261.0408126894132910.44705883952890.178580028311706
121793807.715363792311.12364257364201-17.46007203074460.231277606022705
122978810.3460927592791.14370088782955166.9912899105760.0558363090836428
123775800.9800445939061.00305255874989-21.3609316892798-0.389265791214877
124797810.5429883291921.11833942004229-17.30388110694070.316972230061722
125946806.4846302768681.04824142081894141.789387714637-0.191673987913987
126594807.4957234915261.04773688685236-213.479404920941-0.00137554507840970
127438809.1692795088381.05623603275497-371.4442406139270.0231774436329254
1281022811.4322067125181.07257568478584210.0374719821150.0447007517877364
129868813.0228003520971.0795552855137154.74947329989910.0191936889291054
130795787.5313453053110.72358596765035419.1523093908025-0.98467096989025

\begin{tabular}{lllllllll}
\hline
Structural Time Series Model \tabularnewline
t & Observed & Level & Slope & Seasonal & Stand. Residuals \tabularnewline
1 & 621 & 621 & 0 & 0 & 0 \tabularnewline
2 & 587 & 608.77098293182 & -0.457029630606978 & -15.1574639493343 & -0.46781160979471 \tabularnewline
3 & 655 & 624.585272219781 & 0.841245852901682 & 25.4003335052864 & 0.428890000761588 \tabularnewline
4 & 517 & 586.465726157435 & -1.92478391657941 & -55.4286075192865 & -1.18105343404841 \tabularnewline
5 & 646 & 599.850778532084 & -1.08612382719182 & 39.6789350415096 & 0.522285943566346 \tabularnewline
6 & 657 & 622.25515888051 & -0.105258441708400 & 24.0215548655193 & 0.845927991724805 \tabularnewline
7 & 382 & 546.008355326935 & -2.67664199316742 & -128.113390545872 & -2.80183895345711 \tabularnewline
8 & 345 & 459.943035686867 & -5.13740127537003 & -75.120546104286 & -3.09400965205076 \tabularnewline
9 & 625 & 494.706815567802 & -4.04485749192906 & 111.142356167958 & 1.48496242341417 \tabularnewline
10 & 654 & 556.308470751571 & -2.31851830651843 & 66.1251819453168 & 2.44557844414699 \tabularnewline
11 & 606 & 587.525480990667 & -1.45798142715996 & 2.33742604031028 & 1.24971155673083 \tabularnewline
12 & 510 & 568.697202855142 & -1.89552278121732 & -50.3357120615608 & -0.64738744682891 \tabularnewline
13 & 614 & 572.250500305224 & -2.08610185058685 & 38.9212523787227 & 0.230969132616398 \tabularnewline
14 & 647 & 600.983265593104 & -1.99009976459817 & 31.5495590506249 & 1.17235415241348 \tabularnewline
15 & 580 & 586.226037070328 & -2.35599813800913 & -1.03972473354552 & -0.433850432379405 \tabularnewline
16 & 614 & 614.342559589628 & -1.25319274740779 & -12.4170203497891 & 1.02770463716922 \tabularnewline
17 & 636 & 612.031960869023 & -1.29001996226939 & 24.4031411983240 & -0.0369297761523492 \tabularnewline
18 & 388 & 511.692876005303 & -4.303396568697 & -81.2797777888639 & -3.57073956757405 \tabularnewline
19 & 356 & 466.307425345646 & -5.37321938506412 & -92.2585362686458 & -1.50955357530999 \tabularnewline
20 & 639 & 542.802123574905 & -3.51026151063354 & 59.7256510800657 & 3.03785386079080 \tabularnewline
21 & 753 & 602.841823609167 & -2.2078727964014 & 121.644663892949 & 2.36909371732910 \tabularnewline
22 & 611 & 603.258776300688 & -2.15907954363693 & 6.55897315730887 & 0.0980474355147776 \tabularnewline
23 & 639 & 611.819851252373 & -1.98815407907637 & 22.3364519826641 & 0.400822062084261 \tabularnewline
24 & 630 & 638.442512506838 & -1.67518347796536 & -21.4472961760856 & 1.07341239749444 \tabularnewline
25 & 586 & 622.133358808472 & -1.69302677303452 & -29.3440153369266 & -0.56116244342708 \tabularnewline
26 & 695 & 630.205336756158 & -1.61325889620705 & 60.380865466204 & 0.365476329508416 \tabularnewline
27 & 552 & 608.750192802577 & -1.97329989298572 & -48.2275917249707 & -0.71296342829598 \tabularnewline
28 & 619 & 600.689339908611 & -2.11948679300902 & 20.8596004778360 & -0.215358333088907 \tabularnewline
29 & 681 & 594.383044764793 & -2.22667704776392 & 88.3789033877845 & -0.149342826050015 \tabularnewline
30 & 421 & 562.111760846053 & -2.96508938111127 & -128.245552105742 & -1.08870869752609 \tabularnewline
31 & 307 & 524.024981542537 & -3.75439885877948 & -201.732348792529 & -1.28987195686643 \tabularnewline
32 & 754 & 580.767433379845 & -2.53303674714980 & 146.580320560859 & 2.24120703380798 \tabularnewline
33 & 690 & 589.542584793103 & -2.32938966587949 & 95.4393417668576 & 0.420932197722659 \tabularnewline
34 & 644 & 609.851502485735 & -1.97130942827454 & 24.0595076533150 & 0.844552864550726 \tabularnewline
35 & 643 & 621.776542187702 & -1.78560130870115 & 15.0120655486108 & 0.519041157009959 \tabularnewline
36 & 608 & 623.540824294328 & -1.74782442418364 & -17.1327274760061 & 0.132858990255110 \tabularnewline
37 & 651 & 640.94101018189 & -1.58220576801607 & 1.44603956092786 & 0.718483062662077 \tabularnewline
38 & 691 & 635.631699085548 & -1.62332443698287 & 57.0258623707766 & -0.138443997933265 \tabularnewline
39 & 627 & 643.483111289272 & -1.47791578234435 & -20.6080472153400 & 0.345998611251437 \tabularnewline
40 & 634 & 630.627411607222 & -1.69217833793495 & 8.25242546629732 & -0.411386558057923 \tabularnewline
41 & 731 & 623.946802266965 & -1.79447254940086 & 109.188924797363 & -0.180569852188678 \tabularnewline
42 & 475 & 613.686350554475 & -1.96866576009505 & -135.035385432936 & -0.308747886460838 \tabularnewline
43 & 337 & 600.806323844922 & -2.18271197697785 & -259.054757747277 & -0.401258546006242 \tabularnewline
44 & 803 & 619.097284026921 & -1.81128030894418 & 174.912555802609 & 0.75771959755711 \tabularnewline
45 & 722 & 630.18207267864 & -1.59903381756483 & 86.1223128180933 & 0.479133557912105 \tabularnewline
46 & 590 & 615.453374009324 & -1.79214434148784 & -19.6337033381906 & -0.488783055232906 \tabularnewline
47 & 724 & 643.120877435123 & -1.40900205080723 & 67.7919717289004 & 1.09784679736256 \tabularnewline
48 & 627 & 652.16828426199 & -1.28745567322089 & -29.8198702618583 & 0.389928755431202 \tabularnewline
49 & 696 & 666.339324084548 & -1.11508247109218 & 22.7883552361092 & 0.575971901724822 \tabularnewline
50 & 825 & 701.292844903496 & -0.671393384782864 & 107.772065807677 & 1.3365663954281 \tabularnewline
51 & 677 & 704.123634514612 & -0.620918729099026 & -28.6550749599137 & 0.128719650590822 \tabularnewline
52 & 656 & 684.98296158411 & -0.924748997579368 & -20.9516605022626 & -0.676826656574083 \tabularnewline
53 & 785 & 676.060030419167 & -1.06572357526415 & 112.400273080222 & -0.292168275896699 \tabularnewline
54 & 412 & 633.10719804537 & -1.81711738242252 & -202.930856972486 & -1.53555949633318 \tabularnewline
55 & 352 & 621.818262874004 & -1.98298519254837 & -265.685510422510 & -0.348938324879473 \tabularnewline
56 & 839 & 634.405431249039 & -1.74108437046113 & 198.202753824826 & 0.539045358103248 \tabularnewline
57 & 729 & 639.357579730207 & -1.63771628939421 & 86.6939754541648 & 0.248332286286509 \tabularnewline
58 & 696 & 671.15813964896 & -1.16209682443139 & 10.0720142960903 & 1.24259482556811 \tabularnewline
59 & 641 & 651.280535083776 & -1.40775901034266 & -2.00071385198322 & -0.696024750007052 \tabularnewline
60 & 695 & 675.560517673485 & -1.08978042044173 & 8.06872849183365 & 0.955428323014933 \tabularnewline
61 & 638 & 667.57848435152 & -1.17418726961684 & -26.5309242129937 & -0.256055514260866 \tabularnewline
62 & 762 & 659.300742226267 & -1.26566166259239 & 105.828715770000 & -0.263065293459633 \tabularnewline
63 & 635 & 652.278610715343 & -1.34626880522629 & -14.7563856761802 & -0.212260059134228 \tabularnewline
64 & 721 & 672.985772032546 & -1.01210855673648 & 38.3963855563151 & 0.810567366105447 \tabularnewline
65 & 854 & 689.751806449676 & -0.728500241438924 & 156.508797888657 & 0.65301587060007 \tabularnewline
66 & 418 & 671.208813117774 & -1.01793830502444 & -245.44387303271 & -0.655482137368702 \tabularnewline
67 & 367 & 659.528943872454 & -1.18917309756548 & -287.867428218858 & -0.393414750224318 \tabularnewline
68 & 824 & 649.957025133187 & -1.31922044538525 & 177.720438402894 & -0.310153172232603 \tabularnewline
69 & 687 & 637.734297143313 & -1.48017395483181 & 54.0623919102231 & -0.404212492074054 \tabularnewline
70 & 601 & 618.137899936111 & -1.73309585227055 & -9.15290568198557 & -0.672387330779044 \tabularnewline
71 & 676 & 636.274103360507 & -1.46947646193621 & 30.9586854480501 & 0.737858622326889 \tabularnewline
72 & 740 & 667.135621242642 & -1.05452254423450 & 58.5949741381707 & 1.20058086039231 \tabularnewline
73 & 691 & 687.600410432093 & -0.77940423008278 & -6.08984707852706 & 0.798392170950982 \tabularnewline
74 & 683 & 658.013798118804 & -1.15802728968394 & 37.6614294848401 & -1.06675151639112 \tabularnewline
75 & 594 & 641.188822704551 & -1.37382979987935 & -40.3163121777086 & -0.578763224685468 \tabularnewline
76 & 729 & 653.955892675977 & -1.16953657891463 & 68.8575746492839 & 0.52141944534227 \tabularnewline
77 & 731 & 625.995007377817 & -1.57011764564309 & 116.711920097518 & -0.98738172003967 \tabularnewline
78 & 386 & 618.012122023127 & -1.66741466902773 & -229.208483631222 & -0.236542346122302 \tabularnewline
79 & 331 & 613.118539412001 & -1.71610409726735 & -280.705660102587 & -0.119194125160116 \tabularnewline
80 & 706 & 582.451149916966 & -2.14363322441074 & 136.254200402822 & -1.07143670154653 \tabularnewline
81 & 715 & 599.305588164758 & -1.87207518228141 & 107.341835613924 & 0.704006055071197 \tabularnewline
82 & 657 & 629.63961206741 & -1.42815202796696 & 13.1823711947994 & 1.19443422218725 \tabularnewline
83 & 653 & 639.615028048671 & -1.27593432620173 & 8.36110865959837 & 0.423087885211165 \tabularnewline
84 & 642 & 624.650954562691 & -1.45504256245903 & 23.3801769942602 & -0.507818262702407 \tabularnewline
85 & 643 & 621.480329145757 & -1.47744151179037 & 22.2751339716811 & -0.0636087685384157 \tabularnewline
86 & 718 & 635.388778069596 & -1.27340004650516 & 75.8449614938698 & 0.569813235567022 \tabularnewline
87 & 654 & 655.976837804265 & -0.97553666369995 & -11.5739756014158 & 0.80851384281048 \tabularnewline
88 & 632 & 624.298641517965 & -1.40609186814535 & 21.1587647339096 & -1.13425862673243 \tabularnewline
89 & 731 & 612.050837209052 & -1.56152856199170 & 123.697585528878 & -0.400387398236031 \tabularnewline
90 & 392 & 609.826912515841 & -1.57112542773569 & -217.536734987818 & -0.0244731298740309 \tabularnewline
91 & 344 & 610.519622101672 & -1.53840237875069 & -267.512300197305 & 0.0837185905122837 \tabularnewline
92 & 792 & 630.867041236609 & -1.22625500767058 & 151.524073071899 & 0.810194216984395 \tabularnewline
93 & 852 & 676.749855698353 & -0.568159785211801 & 154.542934184500 & 1.74542190475153 \tabularnewline
94 & 649 & 674.149377770956 & -0.595899610253425 & -24.2552797243459 & -0.0753408918796882 \tabularnewline
95 & 629 & 654.52758315293 & -0.850391654729315 & -17.1531932033344 & -0.705501806771062 \tabularnewline
96 & 685 & 653.712202098903 & -0.849929119021646 & 31.2723864138528 & 0.00129817759552111 \tabularnewline
97 & 617 & 638.409682026268 & -1.04055275350547 & -15.0500601187458 & -0.535692805971087 \tabularnewline
98 & 715 & 636.419770257486 & -1.05318577032379 & 78.997646976741 & -0.035164371491228 \tabularnewline
99 & 715 & 656.862829514019 & -0.762576034453439 & 48.6953802579499 & 0.795577263933655 \tabularnewline
100 & 629 & 643.810657405746 & -0.931642481550809 & -9.4176764466217 & -0.454545437421962 \tabularnewline
101 & 916 & 688.768023886694 & -0.291480656918096 & 207.104469948607 & 1.69686083789203 \tabularnewline
102 & 531 & 720.227913164101 & 0.154615745349867 & -203.155668303637 & 1.17434988968461 \tabularnewline
103 & 357 & 704.737612000818 & -0.0649873767470255 & -340.871211899862 & -0.578952297308622 \tabularnewline
104 & 917 & 728.907308983821 & 0.272434359994997 & 177.448232640891 & 0.897390366024121 \tabularnewline
105 & 828 & 714.262374273252 & 0.0674211954527441 & 120.294529985932 & -0.552679284685347 \tabularnewline
106 & 708 & 712.791417276777 & 0.0465858003787882 & -4.11484250426232 & -0.0570172389326116 \tabularnewline
107 & 858 & 762.242404471211 & 0.707236459529172 & 74.0225070895943 & 1.83141410520292 \tabularnewline
108 & 775 & 764.748760558954 & 0.731106339609664 & 9.45968188700372 & 0.0666915443393308 \tabularnewline
109 & 785 & 778.856376938914 & 0.908344229504944 & 0.259680039294548 & 0.49573786647434 \tabularnewline
110 & 1006 & 833.805170384898 & 1.62796873335074 & 148.435328423141 & 2.00193181356576 \tabularnewline
111 & 789 & 819.125853007679 & 1.40878172503416 & -22.9605532293672 & -0.60381381317988 \tabularnewline
112 & 734 & 804.980557654964 & 1.19750128286981 & -64.1499726398601 & -0.5757023262697 \tabularnewline
113 & 906 & 775.431001796747 & 0.776192668393245 & 144.067515816919 & -1.13786546360258 \tabularnewline
114 & 532 & 756.191026241127 & 0.500642625919868 & -215.403299092785 & -0.740830848502529 \tabularnewline
115 & 387 & 748.183248888348 & 0.383549058208852 & -357.446617512852 & -0.315009315688191 \tabularnewline
116 & 991 & 766.258740922955 & 0.625836602479941 & 216.967942413959 & 0.655265634842063 \tabularnewline
117 & 841 & 760.637560279432 & 0.540972144364167 & 83.108465096877 & -0.231454166914231 \tabularnewline
118 & 892 & 813.239112415817 & 1.24175749110983 & 55.8680307397057 & 1.92933611495761 \tabularnewline
119 & 782 & 794.638641597445 & 0.976797113598297 & -3.91141493290453 & -0.735431409482744 \tabularnewline
120 & 813 & 800.433646083426 & 1.04081268941329 & 10.4470588395289 & 0.178580028311706 \tabularnewline
121 & 793 & 807.71536379231 & 1.12364257364201 & -17.4600720307446 & 0.231277606022705 \tabularnewline
122 & 978 & 810.346092759279 & 1.14370088782955 & 166.991289910576 & 0.0558363090836428 \tabularnewline
123 & 775 & 800.980044593906 & 1.00305255874989 & -21.3609316892798 & -0.389265791214877 \tabularnewline
124 & 797 & 810.542988329192 & 1.11833942004229 & -17.3038811069407 & 0.316972230061722 \tabularnewline
125 & 946 & 806.484630276868 & 1.04824142081894 & 141.789387714637 & -0.191673987913987 \tabularnewline
126 & 594 & 807.495723491526 & 1.04773688685236 & -213.479404920941 & -0.00137554507840970 \tabularnewline
127 & 438 & 809.169279508838 & 1.05623603275497 & -371.444240613927 & 0.0231774436329254 \tabularnewline
128 & 1022 & 811.432206712518 & 1.07257568478584 & 210.037471982115 & 0.0447007517877364 \tabularnewline
129 & 868 & 813.022800352097 & 1.07955528551371 & 54.7494732998991 & 0.0191936889291054 \tabularnewline
130 & 795 & 787.531345305311 & 0.723585967650354 & 19.1523093908025 & -0.98467096989025 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116299&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]621[/C][C]621[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]587[/C][C]608.77098293182[/C][C]-0.457029630606978[/C][C]-15.1574639493343[/C][C]-0.46781160979471[/C][/ROW]
[ROW][C]3[/C][C]655[/C][C]624.585272219781[/C][C]0.841245852901682[/C][C]25.4003335052864[/C][C]0.428890000761588[/C][/ROW]
[ROW][C]4[/C][C]517[/C][C]586.465726157435[/C][C]-1.92478391657941[/C][C]-55.4286075192865[/C][C]-1.18105343404841[/C][/ROW]
[ROW][C]5[/C][C]646[/C][C]599.850778532084[/C][C]-1.08612382719182[/C][C]39.6789350415096[/C][C]0.522285943566346[/C][/ROW]
[ROW][C]6[/C][C]657[/C][C]622.25515888051[/C][C]-0.105258441708400[/C][C]24.0215548655193[/C][C]0.845927991724805[/C][/ROW]
[ROW][C]7[/C][C]382[/C][C]546.008355326935[/C][C]-2.67664199316742[/C][C]-128.113390545872[/C][C]-2.80183895345711[/C][/ROW]
[ROW][C]8[/C][C]345[/C][C]459.943035686867[/C][C]-5.13740127537003[/C][C]-75.120546104286[/C][C]-3.09400965205076[/C][/ROW]
[ROW][C]9[/C][C]625[/C][C]494.706815567802[/C][C]-4.04485749192906[/C][C]111.142356167958[/C][C]1.48496242341417[/C][/ROW]
[ROW][C]10[/C][C]654[/C][C]556.308470751571[/C][C]-2.31851830651843[/C][C]66.1251819453168[/C][C]2.44557844414699[/C][/ROW]
[ROW][C]11[/C][C]606[/C][C]587.525480990667[/C][C]-1.45798142715996[/C][C]2.33742604031028[/C][C]1.24971155673083[/C][/ROW]
[ROW][C]12[/C][C]510[/C][C]568.697202855142[/C][C]-1.89552278121732[/C][C]-50.3357120615608[/C][C]-0.64738744682891[/C][/ROW]
[ROW][C]13[/C][C]614[/C][C]572.250500305224[/C][C]-2.08610185058685[/C][C]38.9212523787227[/C][C]0.230969132616398[/C][/ROW]
[ROW][C]14[/C][C]647[/C][C]600.983265593104[/C][C]-1.99009976459817[/C][C]31.5495590506249[/C][C]1.17235415241348[/C][/ROW]
[ROW][C]15[/C][C]580[/C][C]586.226037070328[/C][C]-2.35599813800913[/C][C]-1.03972473354552[/C][C]-0.433850432379405[/C][/ROW]
[ROW][C]16[/C][C]614[/C][C]614.342559589628[/C][C]-1.25319274740779[/C][C]-12.4170203497891[/C][C]1.02770463716922[/C][/ROW]
[ROW][C]17[/C][C]636[/C][C]612.031960869023[/C][C]-1.29001996226939[/C][C]24.4031411983240[/C][C]-0.0369297761523492[/C][/ROW]
[ROW][C]18[/C][C]388[/C][C]511.692876005303[/C][C]-4.303396568697[/C][C]-81.2797777888639[/C][C]-3.57073956757405[/C][/ROW]
[ROW][C]19[/C][C]356[/C][C]466.307425345646[/C][C]-5.37321938506412[/C][C]-92.2585362686458[/C][C]-1.50955357530999[/C][/ROW]
[ROW][C]20[/C][C]639[/C][C]542.802123574905[/C][C]-3.51026151063354[/C][C]59.7256510800657[/C][C]3.03785386079080[/C][/ROW]
[ROW][C]21[/C][C]753[/C][C]602.841823609167[/C][C]-2.2078727964014[/C][C]121.644663892949[/C][C]2.36909371732910[/C][/ROW]
[ROW][C]22[/C][C]611[/C][C]603.258776300688[/C][C]-2.15907954363693[/C][C]6.55897315730887[/C][C]0.0980474355147776[/C][/ROW]
[ROW][C]23[/C][C]639[/C][C]611.819851252373[/C][C]-1.98815407907637[/C][C]22.3364519826641[/C][C]0.400822062084261[/C][/ROW]
[ROW][C]24[/C][C]630[/C][C]638.442512506838[/C][C]-1.67518347796536[/C][C]-21.4472961760856[/C][C]1.07341239749444[/C][/ROW]
[ROW][C]25[/C][C]586[/C][C]622.133358808472[/C][C]-1.69302677303452[/C][C]-29.3440153369266[/C][C]-0.56116244342708[/C][/ROW]
[ROW][C]26[/C][C]695[/C][C]630.205336756158[/C][C]-1.61325889620705[/C][C]60.380865466204[/C][C]0.365476329508416[/C][/ROW]
[ROW][C]27[/C][C]552[/C][C]608.750192802577[/C][C]-1.97329989298572[/C][C]-48.2275917249707[/C][C]-0.71296342829598[/C][/ROW]
[ROW][C]28[/C][C]619[/C][C]600.689339908611[/C][C]-2.11948679300902[/C][C]20.8596004778360[/C][C]-0.215358333088907[/C][/ROW]
[ROW][C]29[/C][C]681[/C][C]594.383044764793[/C][C]-2.22667704776392[/C][C]88.3789033877845[/C][C]-0.149342826050015[/C][/ROW]
[ROW][C]30[/C][C]421[/C][C]562.111760846053[/C][C]-2.96508938111127[/C][C]-128.245552105742[/C][C]-1.08870869752609[/C][/ROW]
[ROW][C]31[/C][C]307[/C][C]524.024981542537[/C][C]-3.75439885877948[/C][C]-201.732348792529[/C][C]-1.28987195686643[/C][/ROW]
[ROW][C]32[/C][C]754[/C][C]580.767433379845[/C][C]-2.53303674714980[/C][C]146.580320560859[/C][C]2.24120703380798[/C][/ROW]
[ROW][C]33[/C][C]690[/C][C]589.542584793103[/C][C]-2.32938966587949[/C][C]95.4393417668576[/C][C]0.420932197722659[/C][/ROW]
[ROW][C]34[/C][C]644[/C][C]609.851502485735[/C][C]-1.97130942827454[/C][C]24.0595076533150[/C][C]0.844552864550726[/C][/ROW]
[ROW][C]35[/C][C]643[/C][C]621.776542187702[/C][C]-1.78560130870115[/C][C]15.0120655486108[/C][C]0.519041157009959[/C][/ROW]
[ROW][C]36[/C][C]608[/C][C]623.540824294328[/C][C]-1.74782442418364[/C][C]-17.1327274760061[/C][C]0.132858990255110[/C][/ROW]
[ROW][C]37[/C][C]651[/C][C]640.94101018189[/C][C]-1.58220576801607[/C][C]1.44603956092786[/C][C]0.718483062662077[/C][/ROW]
[ROW][C]38[/C][C]691[/C][C]635.631699085548[/C][C]-1.62332443698287[/C][C]57.0258623707766[/C][C]-0.138443997933265[/C][/ROW]
[ROW][C]39[/C][C]627[/C][C]643.483111289272[/C][C]-1.47791578234435[/C][C]-20.6080472153400[/C][C]0.345998611251437[/C][/ROW]
[ROW][C]40[/C][C]634[/C][C]630.627411607222[/C][C]-1.69217833793495[/C][C]8.25242546629732[/C][C]-0.411386558057923[/C][/ROW]
[ROW][C]41[/C][C]731[/C][C]623.946802266965[/C][C]-1.79447254940086[/C][C]109.188924797363[/C][C]-0.180569852188678[/C][/ROW]
[ROW][C]42[/C][C]475[/C][C]613.686350554475[/C][C]-1.96866576009505[/C][C]-135.035385432936[/C][C]-0.308747886460838[/C][/ROW]
[ROW][C]43[/C][C]337[/C][C]600.806323844922[/C][C]-2.18271197697785[/C][C]-259.054757747277[/C][C]-0.401258546006242[/C][/ROW]
[ROW][C]44[/C][C]803[/C][C]619.097284026921[/C][C]-1.81128030894418[/C][C]174.912555802609[/C][C]0.75771959755711[/C][/ROW]
[ROW][C]45[/C][C]722[/C][C]630.18207267864[/C][C]-1.59903381756483[/C][C]86.1223128180933[/C][C]0.479133557912105[/C][/ROW]
[ROW][C]46[/C][C]590[/C][C]615.453374009324[/C][C]-1.79214434148784[/C][C]-19.6337033381906[/C][C]-0.488783055232906[/C][/ROW]
[ROW][C]47[/C][C]724[/C][C]643.120877435123[/C][C]-1.40900205080723[/C][C]67.7919717289004[/C][C]1.09784679736256[/C][/ROW]
[ROW][C]48[/C][C]627[/C][C]652.16828426199[/C][C]-1.28745567322089[/C][C]-29.8198702618583[/C][C]0.389928755431202[/C][/ROW]
[ROW][C]49[/C][C]696[/C][C]666.339324084548[/C][C]-1.11508247109218[/C][C]22.7883552361092[/C][C]0.575971901724822[/C][/ROW]
[ROW][C]50[/C][C]825[/C][C]701.292844903496[/C][C]-0.671393384782864[/C][C]107.772065807677[/C][C]1.3365663954281[/C][/ROW]
[ROW][C]51[/C][C]677[/C][C]704.123634514612[/C][C]-0.620918729099026[/C][C]-28.6550749599137[/C][C]0.128719650590822[/C][/ROW]
[ROW][C]52[/C][C]656[/C][C]684.98296158411[/C][C]-0.924748997579368[/C][C]-20.9516605022626[/C][C]-0.676826656574083[/C][/ROW]
[ROW][C]53[/C][C]785[/C][C]676.060030419167[/C][C]-1.06572357526415[/C][C]112.400273080222[/C][C]-0.292168275896699[/C][/ROW]
[ROW][C]54[/C][C]412[/C][C]633.10719804537[/C][C]-1.81711738242252[/C][C]-202.930856972486[/C][C]-1.53555949633318[/C][/ROW]
[ROW][C]55[/C][C]352[/C][C]621.818262874004[/C][C]-1.98298519254837[/C][C]-265.685510422510[/C][C]-0.348938324879473[/C][/ROW]
[ROW][C]56[/C][C]839[/C][C]634.405431249039[/C][C]-1.74108437046113[/C][C]198.202753824826[/C][C]0.539045358103248[/C][/ROW]
[ROW][C]57[/C][C]729[/C][C]639.357579730207[/C][C]-1.63771628939421[/C][C]86.6939754541648[/C][C]0.248332286286509[/C][/ROW]
[ROW][C]58[/C][C]696[/C][C]671.15813964896[/C][C]-1.16209682443139[/C][C]10.0720142960903[/C][C]1.24259482556811[/C][/ROW]
[ROW][C]59[/C][C]641[/C][C]651.280535083776[/C][C]-1.40775901034266[/C][C]-2.00071385198322[/C][C]-0.696024750007052[/C][/ROW]
[ROW][C]60[/C][C]695[/C][C]675.560517673485[/C][C]-1.08978042044173[/C][C]8.06872849183365[/C][C]0.955428323014933[/C][/ROW]
[ROW][C]61[/C][C]638[/C][C]667.57848435152[/C][C]-1.17418726961684[/C][C]-26.5309242129937[/C][C]-0.256055514260866[/C][/ROW]
[ROW][C]62[/C][C]762[/C][C]659.300742226267[/C][C]-1.26566166259239[/C][C]105.828715770000[/C][C]-0.263065293459633[/C][/ROW]
[ROW][C]63[/C][C]635[/C][C]652.278610715343[/C][C]-1.34626880522629[/C][C]-14.7563856761802[/C][C]-0.212260059134228[/C][/ROW]
[ROW][C]64[/C][C]721[/C][C]672.985772032546[/C][C]-1.01210855673648[/C][C]38.3963855563151[/C][C]0.810567366105447[/C][/ROW]
[ROW][C]65[/C][C]854[/C][C]689.751806449676[/C][C]-0.728500241438924[/C][C]156.508797888657[/C][C]0.65301587060007[/C][/ROW]
[ROW][C]66[/C][C]418[/C][C]671.208813117774[/C][C]-1.01793830502444[/C][C]-245.44387303271[/C][C]-0.655482137368702[/C][/ROW]
[ROW][C]67[/C][C]367[/C][C]659.528943872454[/C][C]-1.18917309756548[/C][C]-287.867428218858[/C][C]-0.393414750224318[/C][/ROW]
[ROW][C]68[/C][C]824[/C][C]649.957025133187[/C][C]-1.31922044538525[/C][C]177.720438402894[/C][C]-0.310153172232603[/C][/ROW]
[ROW][C]69[/C][C]687[/C][C]637.734297143313[/C][C]-1.48017395483181[/C][C]54.0623919102231[/C][C]-0.404212492074054[/C][/ROW]
[ROW][C]70[/C][C]601[/C][C]618.137899936111[/C][C]-1.73309585227055[/C][C]-9.15290568198557[/C][C]-0.672387330779044[/C][/ROW]
[ROW][C]71[/C][C]676[/C][C]636.274103360507[/C][C]-1.46947646193621[/C][C]30.9586854480501[/C][C]0.737858622326889[/C][/ROW]
[ROW][C]72[/C][C]740[/C][C]667.135621242642[/C][C]-1.05452254423450[/C][C]58.5949741381707[/C][C]1.20058086039231[/C][/ROW]
[ROW][C]73[/C][C]691[/C][C]687.600410432093[/C][C]-0.77940423008278[/C][C]-6.08984707852706[/C][C]0.798392170950982[/C][/ROW]
[ROW][C]74[/C][C]683[/C][C]658.013798118804[/C][C]-1.15802728968394[/C][C]37.6614294848401[/C][C]-1.06675151639112[/C][/ROW]
[ROW][C]75[/C][C]594[/C][C]641.188822704551[/C][C]-1.37382979987935[/C][C]-40.3163121777086[/C][C]-0.578763224685468[/C][/ROW]
[ROW][C]76[/C][C]729[/C][C]653.955892675977[/C][C]-1.16953657891463[/C][C]68.8575746492839[/C][C]0.52141944534227[/C][/ROW]
[ROW][C]77[/C][C]731[/C][C]625.995007377817[/C][C]-1.57011764564309[/C][C]116.711920097518[/C][C]-0.98738172003967[/C][/ROW]
[ROW][C]78[/C][C]386[/C][C]618.012122023127[/C][C]-1.66741466902773[/C][C]-229.208483631222[/C][C]-0.236542346122302[/C][/ROW]
[ROW][C]79[/C][C]331[/C][C]613.118539412001[/C][C]-1.71610409726735[/C][C]-280.705660102587[/C][C]-0.119194125160116[/C][/ROW]
[ROW][C]80[/C][C]706[/C][C]582.451149916966[/C][C]-2.14363322441074[/C][C]136.254200402822[/C][C]-1.07143670154653[/C][/ROW]
[ROW][C]81[/C][C]715[/C][C]599.305588164758[/C][C]-1.87207518228141[/C][C]107.341835613924[/C][C]0.704006055071197[/C][/ROW]
[ROW][C]82[/C][C]657[/C][C]629.63961206741[/C][C]-1.42815202796696[/C][C]13.1823711947994[/C][C]1.19443422218725[/C][/ROW]
[ROW][C]83[/C][C]653[/C][C]639.615028048671[/C][C]-1.27593432620173[/C][C]8.36110865959837[/C][C]0.423087885211165[/C][/ROW]
[ROW][C]84[/C][C]642[/C][C]624.650954562691[/C][C]-1.45504256245903[/C][C]23.3801769942602[/C][C]-0.507818262702407[/C][/ROW]
[ROW][C]85[/C][C]643[/C][C]621.480329145757[/C][C]-1.47744151179037[/C][C]22.2751339716811[/C][C]-0.0636087685384157[/C][/ROW]
[ROW][C]86[/C][C]718[/C][C]635.388778069596[/C][C]-1.27340004650516[/C][C]75.8449614938698[/C][C]0.569813235567022[/C][/ROW]
[ROW][C]87[/C][C]654[/C][C]655.976837804265[/C][C]-0.97553666369995[/C][C]-11.5739756014158[/C][C]0.80851384281048[/C][/ROW]
[ROW][C]88[/C][C]632[/C][C]624.298641517965[/C][C]-1.40609186814535[/C][C]21.1587647339096[/C][C]-1.13425862673243[/C][/ROW]
[ROW][C]89[/C][C]731[/C][C]612.050837209052[/C][C]-1.56152856199170[/C][C]123.697585528878[/C][C]-0.400387398236031[/C][/ROW]
[ROW][C]90[/C][C]392[/C][C]609.826912515841[/C][C]-1.57112542773569[/C][C]-217.536734987818[/C][C]-0.0244731298740309[/C][/ROW]
[ROW][C]91[/C][C]344[/C][C]610.519622101672[/C][C]-1.53840237875069[/C][C]-267.512300197305[/C][C]0.0837185905122837[/C][/ROW]
[ROW][C]92[/C][C]792[/C][C]630.867041236609[/C][C]-1.22625500767058[/C][C]151.524073071899[/C][C]0.810194216984395[/C][/ROW]
[ROW][C]93[/C][C]852[/C][C]676.749855698353[/C][C]-0.568159785211801[/C][C]154.542934184500[/C][C]1.74542190475153[/C][/ROW]
[ROW][C]94[/C][C]649[/C][C]674.149377770956[/C][C]-0.595899610253425[/C][C]-24.2552797243459[/C][C]-0.0753408918796882[/C][/ROW]
[ROW][C]95[/C][C]629[/C][C]654.52758315293[/C][C]-0.850391654729315[/C][C]-17.1531932033344[/C][C]-0.705501806771062[/C][/ROW]
[ROW][C]96[/C][C]685[/C][C]653.712202098903[/C][C]-0.849929119021646[/C][C]31.2723864138528[/C][C]0.00129817759552111[/C][/ROW]
[ROW][C]97[/C][C]617[/C][C]638.409682026268[/C][C]-1.04055275350547[/C][C]-15.0500601187458[/C][C]-0.535692805971087[/C][/ROW]
[ROW][C]98[/C][C]715[/C][C]636.419770257486[/C][C]-1.05318577032379[/C][C]78.997646976741[/C][C]-0.035164371491228[/C][/ROW]
[ROW][C]99[/C][C]715[/C][C]656.862829514019[/C][C]-0.762576034453439[/C][C]48.6953802579499[/C][C]0.795577263933655[/C][/ROW]
[ROW][C]100[/C][C]629[/C][C]643.810657405746[/C][C]-0.931642481550809[/C][C]-9.4176764466217[/C][C]-0.454545437421962[/C][/ROW]
[ROW][C]101[/C][C]916[/C][C]688.768023886694[/C][C]-0.291480656918096[/C][C]207.104469948607[/C][C]1.69686083789203[/C][/ROW]
[ROW][C]102[/C][C]531[/C][C]720.227913164101[/C][C]0.154615745349867[/C][C]-203.155668303637[/C][C]1.17434988968461[/C][/ROW]
[ROW][C]103[/C][C]357[/C][C]704.737612000818[/C][C]-0.0649873767470255[/C][C]-340.871211899862[/C][C]-0.578952297308622[/C][/ROW]
[ROW][C]104[/C][C]917[/C][C]728.907308983821[/C][C]0.272434359994997[/C][C]177.448232640891[/C][C]0.897390366024121[/C][/ROW]
[ROW][C]105[/C][C]828[/C][C]714.262374273252[/C][C]0.0674211954527441[/C][C]120.294529985932[/C][C]-0.552679284685347[/C][/ROW]
[ROW][C]106[/C][C]708[/C][C]712.791417276777[/C][C]0.0465858003787882[/C][C]-4.11484250426232[/C][C]-0.0570172389326116[/C][/ROW]
[ROW][C]107[/C][C]858[/C][C]762.242404471211[/C][C]0.707236459529172[/C][C]74.0225070895943[/C][C]1.83141410520292[/C][/ROW]
[ROW][C]108[/C][C]775[/C][C]764.748760558954[/C][C]0.731106339609664[/C][C]9.45968188700372[/C][C]0.0666915443393308[/C][/ROW]
[ROW][C]109[/C][C]785[/C][C]778.856376938914[/C][C]0.908344229504944[/C][C]0.259680039294548[/C][C]0.49573786647434[/C][/ROW]
[ROW][C]110[/C][C]1006[/C][C]833.805170384898[/C][C]1.62796873335074[/C][C]148.435328423141[/C][C]2.00193181356576[/C][/ROW]
[ROW][C]111[/C][C]789[/C][C]819.125853007679[/C][C]1.40878172503416[/C][C]-22.9605532293672[/C][C]-0.60381381317988[/C][/ROW]
[ROW][C]112[/C][C]734[/C][C]804.980557654964[/C][C]1.19750128286981[/C][C]-64.1499726398601[/C][C]-0.5757023262697[/C][/ROW]
[ROW][C]113[/C][C]906[/C][C]775.431001796747[/C][C]0.776192668393245[/C][C]144.067515816919[/C][C]-1.13786546360258[/C][/ROW]
[ROW][C]114[/C][C]532[/C][C]756.191026241127[/C][C]0.500642625919868[/C][C]-215.403299092785[/C][C]-0.740830848502529[/C][/ROW]
[ROW][C]115[/C][C]387[/C][C]748.183248888348[/C][C]0.383549058208852[/C][C]-357.446617512852[/C][C]-0.315009315688191[/C][/ROW]
[ROW][C]116[/C][C]991[/C][C]766.258740922955[/C][C]0.625836602479941[/C][C]216.967942413959[/C][C]0.655265634842063[/C][/ROW]
[ROW][C]117[/C][C]841[/C][C]760.637560279432[/C][C]0.540972144364167[/C][C]83.108465096877[/C][C]-0.231454166914231[/C][/ROW]
[ROW][C]118[/C][C]892[/C][C]813.239112415817[/C][C]1.24175749110983[/C][C]55.8680307397057[/C][C]1.92933611495761[/C][/ROW]
[ROW][C]119[/C][C]782[/C][C]794.638641597445[/C][C]0.976797113598297[/C][C]-3.91141493290453[/C][C]-0.735431409482744[/C][/ROW]
[ROW][C]120[/C][C]813[/C][C]800.433646083426[/C][C]1.04081268941329[/C][C]10.4470588395289[/C][C]0.178580028311706[/C][/ROW]
[ROW][C]121[/C][C]793[/C][C]807.71536379231[/C][C]1.12364257364201[/C][C]-17.4600720307446[/C][C]0.231277606022705[/C][/ROW]
[ROW][C]122[/C][C]978[/C][C]810.346092759279[/C][C]1.14370088782955[/C][C]166.991289910576[/C][C]0.0558363090836428[/C][/ROW]
[ROW][C]123[/C][C]775[/C][C]800.980044593906[/C][C]1.00305255874989[/C][C]-21.3609316892798[/C][C]-0.389265791214877[/C][/ROW]
[ROW][C]124[/C][C]797[/C][C]810.542988329192[/C][C]1.11833942004229[/C][C]-17.3038811069407[/C][C]0.316972230061722[/C][/ROW]
[ROW][C]125[/C][C]946[/C][C]806.484630276868[/C][C]1.04824142081894[/C][C]141.789387714637[/C][C]-0.191673987913987[/C][/ROW]
[ROW][C]126[/C][C]594[/C][C]807.495723491526[/C][C]1.04773688685236[/C][C]-213.479404920941[/C][C]-0.00137554507840970[/C][/ROW]
[ROW][C]127[/C][C]438[/C][C]809.169279508838[/C][C]1.05623603275497[/C][C]-371.444240613927[/C][C]0.0231774436329254[/C][/ROW]
[ROW][C]128[/C][C]1022[/C][C]811.432206712518[/C][C]1.07257568478584[/C][C]210.037471982115[/C][C]0.0447007517877364[/C][/ROW]
[ROW][C]129[/C][C]868[/C][C]813.022800352097[/C][C]1.07955528551371[/C][C]54.7494732998991[/C][C]0.0191936889291054[/C][/ROW]
[ROW][C]130[/C][C]795[/C][C]787.531345305311[/C][C]0.723585967650354[/C][C]19.1523093908025[/C][C]-0.98467096989025[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116299&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116299&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
1621621000
2587608.77098293182-0.457029630606978-15.1574639493343-0.46781160979471
3655624.5852722197810.84124585290168225.40033350528640.428890000761588
4517586.465726157435-1.92478391657941-55.4286075192865-1.18105343404841
5646599.850778532084-1.0861238271918239.67893504150960.522285943566346
6657622.25515888051-0.10525844170840024.02155486551930.845927991724805
7382546.008355326935-2.67664199316742-128.113390545872-2.80183895345711
8345459.943035686867-5.13740127537003-75.120546104286-3.09400965205076
9625494.706815567802-4.04485749192906111.1423561679581.48496242341417
10654556.308470751571-2.3185183065184366.12518194531682.44557844414699
11606587.525480990667-1.457981427159962.337426040310281.24971155673083
12510568.697202855142-1.89552278121732-50.3357120615608-0.64738744682891
13614572.250500305224-2.0861018505868538.92125237872270.230969132616398
14647600.983265593104-1.9900997645981731.54955905062491.17235415241348
15580586.226037070328-2.35599813800913-1.03972473354552-0.433850432379405
16614614.342559589628-1.25319274740779-12.41702034978911.02770463716922
17636612.031960869023-1.2900199622693924.4031411983240-0.0369297761523492
18388511.692876005303-4.303396568697-81.2797777888639-3.57073956757405
19356466.307425345646-5.37321938506412-92.2585362686458-1.50955357530999
20639542.802123574905-3.5102615106335459.72565108006573.03785386079080
21753602.841823609167-2.2078727964014121.6446638929492.36909371732910
22611603.258776300688-2.159079543636936.558973157308870.0980474355147776
23639611.819851252373-1.9881540790763722.33645198266410.400822062084261
24630638.442512506838-1.67518347796536-21.44729617608561.07341239749444
25586622.133358808472-1.69302677303452-29.3440153369266-0.56116244342708
26695630.205336756158-1.6132588962070560.3808654662040.365476329508416
27552608.750192802577-1.97329989298572-48.2275917249707-0.71296342829598
28619600.689339908611-2.1194867930090220.8596004778360-0.215358333088907
29681594.383044764793-2.2266770477639288.3789033877845-0.149342826050015
30421562.111760846053-2.96508938111127-128.245552105742-1.08870869752609
31307524.024981542537-3.75439885877948-201.732348792529-1.28987195686643
32754580.767433379845-2.53303674714980146.5803205608592.24120703380798
33690589.542584793103-2.3293896658794995.43934176685760.420932197722659
34644609.851502485735-1.9713094282745424.05950765331500.844552864550726
35643621.776542187702-1.7856013087011515.01206554861080.519041157009959
36608623.540824294328-1.74782442418364-17.13272747600610.132858990255110
37651640.94101018189-1.582205768016071.446039560927860.718483062662077
38691635.631699085548-1.6233244369828757.0258623707766-0.138443997933265
39627643.483111289272-1.47791578234435-20.60804721534000.345998611251437
40634630.627411607222-1.692178337934958.25242546629732-0.411386558057923
41731623.946802266965-1.79447254940086109.188924797363-0.180569852188678
42475613.686350554475-1.96866576009505-135.035385432936-0.308747886460838
43337600.806323844922-2.18271197697785-259.054757747277-0.401258546006242
44803619.097284026921-1.81128030894418174.9125558026090.75771959755711
45722630.18207267864-1.5990338175648386.12231281809330.479133557912105
46590615.453374009324-1.79214434148784-19.6337033381906-0.488783055232906
47724643.120877435123-1.4090020508072367.79197172890041.09784679736256
48627652.16828426199-1.28745567322089-29.81987026185830.389928755431202
49696666.339324084548-1.1150824710921822.78835523610920.575971901724822
50825701.292844903496-0.671393384782864107.7720658076771.3365663954281
51677704.123634514612-0.620918729099026-28.65507495991370.128719650590822
52656684.98296158411-0.924748997579368-20.9516605022626-0.676826656574083
53785676.060030419167-1.06572357526415112.400273080222-0.292168275896699
54412633.10719804537-1.81711738242252-202.930856972486-1.53555949633318
55352621.818262874004-1.98298519254837-265.685510422510-0.348938324879473
56839634.405431249039-1.74108437046113198.2027538248260.539045358103248
57729639.357579730207-1.6377162893942186.69397545416480.248332286286509
58696671.15813964896-1.1620968244313910.07201429609031.24259482556811
59641651.280535083776-1.40775901034266-2.00071385198322-0.696024750007052
60695675.560517673485-1.089780420441738.068728491833650.955428323014933
61638667.57848435152-1.17418726961684-26.5309242129937-0.256055514260866
62762659.300742226267-1.26566166259239105.828715770000-0.263065293459633
63635652.278610715343-1.34626880522629-14.7563856761802-0.212260059134228
64721672.985772032546-1.0121085567364838.39638555631510.810567366105447
65854689.751806449676-0.728500241438924156.5087978886570.65301587060007
66418671.208813117774-1.01793830502444-245.44387303271-0.655482137368702
67367659.528943872454-1.18917309756548-287.867428218858-0.393414750224318
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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')