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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 computationWed, 02 Dec 2009 13:43:12 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Dec/02/t1259786700bp7p0e38nts7ltz.htm/, Retrieved Sun, 28 Apr 2024 17:27:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=62580, Retrieved Sun, 28 Apr 2024 17:27:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact144
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] [] [2009-11-27 15:02:30] [b98453cac15ba1066b407e146608df68]
-   PD      [Structural Time Series Models] [WS09 - Local leve...] [2009-12-02 20:43:12] [0cc924834281808eda7297686c82928f] [Current]
- R PD        [Structural Time Series Models] [] [2010-12-07 09:56:13] [d7b28a0391ab3b2ddc9f9fba95a43f33]
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Dataseries X:
423.4
404.1
500
472.6
496.1
562
434.8
538.2
577.6
518.1
625.2
561.2
523.3
536.1
607.3
637.3
606.9
652.9
617.2
670.4
729.9
677.2
710
844.3
748.2
653.9
742.6
854.2
808.4
1819
1936.5
1966.1
2083.1
1620.1
1527.6
1795
1685.1
1851.8
2164.4
1981.8
1726.5
2144.6
1758.2
1672.9
1837.3
1596.1
1446
1898.4
1964.1
1755.9
2255.3
1881.2
2117.9
1656.5
1544.1
2098.9
2133.3
1963.5
1801.2
2365.4
1936.5
1667.6
1983.5
2058.6
2448.3
1858.1
1625.4
2130.6
2515.7
2230.2
2086.9
2235
2100.2
2288.6
2490
2573.7
2543.8
2004.7
2390
2338.4
2724.5
2292.5
2386
2477.9
2337
2605.1
2560.8
2839.3
2407.2
2085.2
2735.6
2798.7
3053.2
2405
2471.9
2727.3
2790.7
2385.4
3206.6
2705.6
3518.4
1954.9
2584.3
2535.8
2685.9
2866
2236.6
2934.9
2668.6
2371.2
3165.9
2887.2
3112.2
2671.2
2432.6
2812.3
3095.7
2862.9
2607.3
2862.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=62580&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]2 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=62580&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62580&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Structural Time Series Model
tObservedLevelSlopeSeasonalStand. Residuals
1423.4423.4000
2404.1414.681615828779-0.79705651882702-1.93728484637907-0.0748849046629789
3500451.4603690991.9630156274561110.70487911796090.33105286135969
4472.6461.920354053612.427240409737751.198949049262200.080670994278407
5496.1476.5851108756842.953403930805225.108425240212290.120787400133489
6562511.9185837694674.1215295807515810.87969972879590.326151303350756
7434.8483.361013614283.07995286631461-8.38288153604376-0.332851874718943
8538.2504.4045155598413.6047444831336511.51281580556710.184140383918859
9577.6534.8797362240044.341983994414639.210289250416080.276498908524525
10518.1530.2786818083334.10796450356718-0.987949681849582-0.0922457911814492
11625.2568.2572205771684.9614111264328814.46215269869200.349928097632418
12561.2567.9381709423894.83253310576678-0.104420004486369-0.0546163700688248
13523.3572.1050134765624.89491405168368-47.8183911310501-0.00919973127486513
14536.1562.1876992285114.43310186613281-10.9255770722826-0.133816320615445
15607.3577.3994061682134.7997455397737318.63890511123830.100182128668110
16637.3603.6722992475855.387063389918119.452232878969970.211532665589422
17606.9608.5028273071865.37483467316522-0.950844547061103-0.00564945171623517
18652.9622.1190888003495.5280732688541520.94102224134100.084853066246064
19617.2627.5473058047065.52641884647024-10.2269552614216-0.00103529745057395
20670.4643.5668304454315.6874345837492314.12387502538020.109187500165899
21729.9675.8026988413566.0745935896095821.85333975462930.276810524347979
22677.2683.5209053048436.09772562141712-8.320399067871820.0171578244000113
23710691.2735919094636.1200866126537716.71039119671060.0172911155801777
24844.3752.3655485722716.6793328238476524.61771264296850.57569474685432
25748.2777.596478398656.03121236921146-53.92595892689450.219212382849823
26653.9741.1384676988155.34676458649737-39.9442839008349-0.417958907922997
27742.6736.5035944752345.119392534784316.9095226695473-0.096937755290350
28854.2779.5468562260335.8736631670362431.95685683674880.380285134192497
29808.4797.3890289236526.06923663547251-2.847622123195040.122649098111375
3018191170.1565106970811.1366676903444217.8728360084043.80015891535140
311936.51488.2801258761114.898751690533884.69093382401463.19929130714277
321966.11691.3692272827117.029851127781151.00213001946061.96694818968353
332083.11849.5099820199218.548615666229465.4715074128871.47721516434563
341620.11788.477736998517.7261832801294-73.436811757611-0.833887993254807
351527.61694.6572853500216.6717882644994-33.7550595192486-1.16984570448234
3617951726.1920159996516.748378813958350.93015930164580.156422452801543
371685.11760.3407696024116.4555387359094-97.12654530877560.194589179903709
381851.81824.1991862229116.9218919230483-26.59779185474810.481696763552767
392164.41960.5376482152418.933215088095971.86448623126951.18763942944971
401981.81979.4747965284618.93327798789662.320770250527913.98189781001649e-05
411726.51939.3788613665618.1296235182491-144.950031058440-0.607563724682302
422144.61974.792313034818.3302201976358149.6649618889090.179625438413395
431758.21899.1304730893917.3659908728787-30.6418282790216-0.981839150931345
441672.91816.2255967576716.4204909906713-25.2428046842766-1.05024568558892
451837.31792.8064546756016.065900476136091.5049021046926-0.417898103098114
461596.11743.5280011537315.5183945315555-70.210851657177-0.6860556357527
4714461654.7641778471514.7711028954023-85.284521873523-1.0958684107077
481898.41727.4159042013814.9487957275431102.0202639689290.610623584245753
491964.11861.0497641948613.9421765732852-42.15919380612621.29270357376042
501755.91862.4841121744413.8559090901685-92.132150889158-0.128962171458361
512255.31990.1703400461515.3475786676892137.5123834216241.14950415400863
521881.21963.1000639137114.7804943081271-33.9229053299088-0.432388162885295
532117.92080.5097858268115.9961106998368-80.46612678429941.05936803220661
541656.51880.2029096053313.777313005138727.390221987977-2.25165643708501
551544.11753.9077153361612.5059259070236-46.1741826399388-1.46513487296703
562098.91877.4700031356513.426658663024991.23473522448161.16468294381579
572133.31942.4991051102613.8252903893520130.1808087657170.541963513517947
581963.51978.9309868650013.9851713195094-42.02926128804070.237644193091478
591801.21966.1031984237213.8324159034571-133.289056058794-0.282124432613277
602365.42092.7340712623214.0860404407878138.9587606025481.19117757119819
611936.52071.7820766581814.2272948601356-93.1080792983525-0.376278806217526
621667.61978.7884462261713.6464144891560-186.733152716078-1.11345639529800
631983.51927.7830637610912.962650485947128.942833260640-0.659701973307434
642058.61995.5739239849713.58835052363950.7436902601518160.561960294236888
652448.32173.0114950369815.309515155297687.11909563135981.69524300723591
661858.12058.6866458327014.1068456028677-50.3475590490785-1.3510507818597
671625.41934.8465286346112.9690761620916-148.635292413847-1.44417392948922
682130.61976.3928769562213.1830798622253120.7772037581860.299952412488763
692515.72133.9452110102014.1748973589787212.5095848836981.51756260181880
702230.22202.1782623683714.5054764459158-35.45425677006310.568748783384594
712086.92234.0558981496314.5876076591898-167.5960932213830.182939477133200
7222352189.9057288120214.4708947643872114.502439429009-0.620417966237304
732100.22184.4253728525514.5004052859691-60.4498538718683-0.212552185859943
742288.62292.5035668345114.9332628256618-112.7579211273960.975540535709335
7524902342.7187254896815.2437089661143107.0249445956660.362650697387888
762573.72451.9692441340916.173263935056414.48972445290400.967849557947195
772543.82452.7656991214916.0285108241447108.712075400525-0.159421684123625
782004.72306.6213023449114.6526230558671-114.059869700991-1.69184310816180
7923902394.6418737307115.2097974650261-90.08767578915020.768604048349434
802338.42361.4347574245114.877550968972833.544469182577-0.508501667836641
812724.52426.8041552871915.1907342646091238.5632350076580.531074532330278
822292.52404.3378608554414.9876386803755-67.6638149641772-0.396423861622161
8323862458.4279328498415.1473524141049-118.3832748529900.411992538473963
842477.92438.0904513579815.077596091086281.6509690256624-0.374746211625817
8523372443.8768456158615.0771170248228-95.874214394794-0.0985211033689705
862605.12557.2252509961115.4870396322428-66.56627360838891.02681499152840
872560.82545.1630189957215.280029239049747.2389521579837-0.284660650886326
882839.32649.0548919820316.048825566076688.77432034222240.915686935787295
892407.22523.5769970345614.846412366123246.5665049617651-1.47004283581418
902085.22415.5917137794613.8878115060695-188.083360113410-1.28258112417302
912735.62557.6345633671314.790026300308128.76965153935191.34329543921780
922798.72652.6771700083815.298964986416152.28838292774950.843243234925903
933053.22722.6404247377115.6085402854971266.5732360766170.575208881577013
9424052651.8567869791015.1902118076113-145.567970819499-0.909841148191891
952471.92631.6012430944915.0606449165907-118.074090159692-0.373589867922924
962727.32645.2980348951315.057865889482483.6075755735832-0.0143987327864590
972790.72750.2584029807815.1475446389026-65.58975755903140.950619622651217
982385.42656.9705676101914.7259312209612-145.212663696169-1.13470415528651
993206.62845.0259985076715.8633057511006161.9631459751051.79791858199428
1002705.62766.2273915917815.134593425681648.1254107678746-0.981206003165279
1013518.43014.6660718971316.9337009181384234.6972910236872.42745148945704
1021954.92745.4514849104714.8720388970241-458.877676294272-2.99044186614255
1032584.32679.9127513641614.3452339659046-2.00502499422826-0.843259468453997
1042535.82615.6959959755713.882204304984711.8428830372442-0.82577610359993
1052685.92538.237870868913.4055770850045254.549053113237-0.961436959811166
10628662704.2889801360614.0798540770138-17.19450592191461.60804825770784
1072236.62599.8967135001813.6810622381244-224.239518588987-1.24891539579506
1082934.92698.6090678636913.8626526041147136.3106739942450.897397860258287
1092668.62717.6511033634913.8709089387702-55.14342373600010.0546727393183424
1102371.22673.0594204559713.6549473201582-233.705256149577-0.6124209648126
1113165.92790.3597438338214.2601597808862255.827614927461.07823695045743
1122887.22839.5747591653814.50134245917777.356492266745830.363242017332657
1133112.22831.3667950659314.3415894715205307.061721915677-0.236645570305387
1142671.22934.627384780714.9346663846294-366.5576613062860.930013829035987
1152432.62761.9964458460013.7881684114683-111.019332674058-1.96785534708222
1162812.32766.6174120359113.737741566016556.3865451288016-0.0963861001898183
1173095.72813.7911808557313.8997538714006242.7881941448450.3520256798499
1182862.92837.3253585629813.939115171557514.28553282652360.101514311857133
1192607.32854.0099355154013.9478119417654-249.9310277170170.0289453637617892
1202862.52817.961143815513.8363005281297103.267604395130-0.527483258536329

\begin{tabular}{lllllllll}
\hline
Structural Time Series Model \tabularnewline
t & Observed & Level & Slope & Seasonal & Stand. Residuals \tabularnewline
1 & 423.4 & 423.4 & 0 & 0 & 0 \tabularnewline
2 & 404.1 & 414.681615828779 & -0.79705651882702 & -1.93728484637907 & -0.0748849046629789 \tabularnewline
3 & 500 & 451.460369099 & 1.96301562745611 & 10.7048791179609 & 0.33105286135969 \tabularnewline
4 & 472.6 & 461.92035405361 & 2.42724040973775 & 1.19894904926220 & 0.080670994278407 \tabularnewline
5 & 496.1 & 476.585110875684 & 2.95340393080522 & 5.10842524021229 & 0.120787400133489 \tabularnewline
6 & 562 & 511.918583769467 & 4.12152958075158 & 10.8796997287959 & 0.326151303350756 \tabularnewline
7 & 434.8 & 483.36101361428 & 3.07995286631461 & -8.38288153604376 & -0.332851874718943 \tabularnewline
8 & 538.2 & 504.404515559841 & 3.60474448313365 & 11.5128158055671 & 0.184140383918859 \tabularnewline
9 & 577.6 & 534.879736224004 & 4.34198399441463 & 9.21028925041608 & 0.276498908524525 \tabularnewline
10 & 518.1 & 530.278681808333 & 4.10796450356718 & -0.987949681849582 & -0.0922457911814492 \tabularnewline
11 & 625.2 & 568.257220577168 & 4.96141112643288 & 14.4621526986920 & 0.349928097632418 \tabularnewline
12 & 561.2 & 567.938170942389 & 4.83253310576678 & -0.104420004486369 & -0.0546163700688248 \tabularnewline
13 & 523.3 & 572.105013476562 & 4.89491405168368 & -47.8183911310501 & -0.00919973127486513 \tabularnewline
14 & 536.1 & 562.187699228511 & 4.43310186613281 & -10.9255770722826 & -0.133816320615445 \tabularnewline
15 & 607.3 & 577.399406168213 & 4.79974553977373 & 18.6389051112383 & 0.100182128668110 \tabularnewline
16 & 637.3 & 603.672299247585 & 5.38706338991811 & 9.45223287896997 & 0.211532665589422 \tabularnewline
17 & 606.9 & 608.502827307186 & 5.37483467316522 & -0.950844547061103 & -0.00564945171623517 \tabularnewline
18 & 652.9 & 622.119088800349 & 5.52807326885415 & 20.9410222413410 & 0.084853066246064 \tabularnewline
19 & 617.2 & 627.547305804706 & 5.52641884647024 & -10.2269552614216 & -0.00103529745057395 \tabularnewline
20 & 670.4 & 643.566830445431 & 5.68743458374923 & 14.1238750253802 & 0.109187500165899 \tabularnewline
21 & 729.9 & 675.802698841356 & 6.07459358960958 & 21.8533397546293 & 0.276810524347979 \tabularnewline
22 & 677.2 & 683.520905304843 & 6.09772562141712 & -8.32039906787182 & 0.0171578244000113 \tabularnewline
23 & 710 & 691.273591909463 & 6.12008661265377 & 16.7103911967106 & 0.0172911155801777 \tabularnewline
24 & 844.3 & 752.365548572271 & 6.67933282384765 & 24.6177126429685 & 0.57569474685432 \tabularnewline
25 & 748.2 & 777.59647839865 & 6.03121236921146 & -53.9259589268945 & 0.219212382849823 \tabularnewline
26 & 653.9 & 741.138467698815 & 5.34676458649737 & -39.9442839008349 & -0.417958907922997 \tabularnewline
27 & 742.6 & 736.503594475234 & 5.1193925347843 & 16.9095226695473 & -0.096937755290350 \tabularnewline
28 & 854.2 & 779.546856226033 & 5.87366316703624 & 31.9568568367488 & 0.380285134192497 \tabularnewline
29 & 808.4 & 797.389028923652 & 6.06923663547251 & -2.84762212319504 & 0.122649098111375 \tabularnewline
30 & 1819 & 1170.15651069708 & 11.1366676903444 & 217.872836008404 & 3.80015891535140 \tabularnewline
31 & 1936.5 & 1488.28012587611 & 14.8987516905338 & 84.6909338240146 & 3.19929130714277 \tabularnewline
32 & 1966.1 & 1691.36922728271 & 17.0298511277811 & 51.0021300194606 & 1.96694818968353 \tabularnewline
33 & 2083.1 & 1849.50998201992 & 18.5486156662294 & 65.471507412887 & 1.47721516434563 \tabularnewline
34 & 1620.1 & 1788.4777369985 & 17.7261832801294 & -73.436811757611 & -0.833887993254807 \tabularnewline
35 & 1527.6 & 1694.65728535002 & 16.6717882644994 & -33.7550595192486 & -1.16984570448234 \tabularnewline
36 & 1795 & 1726.19201599965 & 16.7483788139583 & 50.9301593016458 & 0.156422452801543 \tabularnewline
37 & 1685.1 & 1760.34076960241 & 16.4555387359094 & -97.1265453087756 & 0.194589179903709 \tabularnewline
38 & 1851.8 & 1824.19918622291 & 16.9218919230483 & -26.5977918547481 & 0.481696763552767 \tabularnewline
39 & 2164.4 & 1960.53764821524 & 18.9332150880959 & 71.8644862312695 & 1.18763942944971 \tabularnewline
40 & 1981.8 & 1979.47479652846 & 18.9332779878966 & 2.32077025052791 & 3.98189781001649e-05 \tabularnewline
41 & 1726.5 & 1939.37886136656 & 18.1296235182491 & -144.950031058440 & -0.607563724682302 \tabularnewline
42 & 2144.6 & 1974.7923130348 & 18.3302201976358 & 149.664961888909 & 0.179625438413395 \tabularnewline
43 & 1758.2 & 1899.13047308939 & 17.3659908728787 & -30.6418282790216 & -0.981839150931345 \tabularnewline
44 & 1672.9 & 1816.22559675767 & 16.4204909906713 & -25.2428046842766 & -1.05024568558892 \tabularnewline
45 & 1837.3 & 1792.80645467560 & 16.0659004761360 & 91.5049021046926 & -0.417898103098114 \tabularnewline
46 & 1596.1 & 1743.52800115373 & 15.5183945315555 & -70.210851657177 & -0.6860556357527 \tabularnewline
47 & 1446 & 1654.76417784715 & 14.7711028954023 & -85.284521873523 & -1.0958684107077 \tabularnewline
48 & 1898.4 & 1727.41590420138 & 14.9487957275431 & 102.020263968929 & 0.610623584245753 \tabularnewline
49 & 1964.1 & 1861.04976419486 & 13.9421765732852 & -42.1591938061262 & 1.29270357376042 \tabularnewline
50 & 1755.9 & 1862.48411217444 & 13.8559090901685 & -92.132150889158 & -0.128962171458361 \tabularnewline
51 & 2255.3 & 1990.17034004615 & 15.3475786676892 & 137.512383421624 & 1.14950415400863 \tabularnewline
52 & 1881.2 & 1963.10006391371 & 14.7804943081271 & -33.9229053299088 & -0.432388162885295 \tabularnewline
53 & 2117.9 & 2080.50978582681 & 15.9961106998368 & -80.4661267842994 & 1.05936803220661 \tabularnewline
54 & 1656.5 & 1880.20290960533 & 13.7773130051387 & 27.390221987977 & -2.25165643708501 \tabularnewline
55 & 1544.1 & 1753.90771533616 & 12.5059259070236 & -46.1741826399388 & -1.46513487296703 \tabularnewline
56 & 2098.9 & 1877.47000313565 & 13.4266586630249 & 91.2347352244816 & 1.16468294381579 \tabularnewline
57 & 2133.3 & 1942.49910511026 & 13.8252903893520 & 130.180808765717 & 0.541963513517947 \tabularnewline
58 & 1963.5 & 1978.93098686500 & 13.9851713195094 & -42.0292612880407 & 0.237644193091478 \tabularnewline
59 & 1801.2 & 1966.10319842372 & 13.8324159034571 & -133.289056058794 & -0.282124432613277 \tabularnewline
60 & 2365.4 & 2092.73407126232 & 14.0860404407878 & 138.958760602548 & 1.19117757119819 \tabularnewline
61 & 1936.5 & 2071.78207665818 & 14.2272948601356 & -93.1080792983525 & -0.376278806217526 \tabularnewline
62 & 1667.6 & 1978.78844622617 & 13.6464144891560 & -186.733152716078 & -1.11345639529800 \tabularnewline
63 & 1983.5 & 1927.78306376109 & 12.962650485947 & 128.942833260640 & -0.659701973307434 \tabularnewline
64 & 2058.6 & 1995.57392398497 & 13.5883505236395 & 0.743690260151816 & 0.561960294236888 \tabularnewline
65 & 2448.3 & 2173.01149503698 & 15.3095151552976 & 87.1190956313598 & 1.69524300723591 \tabularnewline
66 & 1858.1 & 2058.68664583270 & 14.1068456028677 & -50.3475590490785 & -1.3510507818597 \tabularnewline
67 & 1625.4 & 1934.84652863461 & 12.9690761620916 & -148.635292413847 & -1.44417392948922 \tabularnewline
68 & 2130.6 & 1976.39287695622 & 13.1830798622253 & 120.777203758186 & 0.299952412488763 \tabularnewline
69 & 2515.7 & 2133.94521101020 & 14.1748973589787 & 212.509584883698 & 1.51756260181880 \tabularnewline
70 & 2230.2 & 2202.17826236837 & 14.5054764459158 & -35.4542567700631 & 0.568748783384594 \tabularnewline
71 & 2086.9 & 2234.05589814963 & 14.5876076591898 & -167.596093221383 & 0.182939477133200 \tabularnewline
72 & 2235 & 2189.90572881202 & 14.4708947643872 & 114.502439429009 & -0.620417966237304 \tabularnewline
73 & 2100.2 & 2184.42537285255 & 14.5004052859691 & -60.4498538718683 & -0.212552185859943 \tabularnewline
74 & 2288.6 & 2292.50356683451 & 14.9332628256618 & -112.757921127396 & 0.975540535709335 \tabularnewline
75 & 2490 & 2342.71872548968 & 15.2437089661143 & 107.024944595666 & 0.362650697387888 \tabularnewline
76 & 2573.7 & 2451.96924413409 & 16.1732639350564 & 14.4897244529040 & 0.967849557947195 \tabularnewline
77 & 2543.8 & 2452.76569912149 & 16.0285108241447 & 108.712075400525 & -0.159421684123625 \tabularnewline
78 & 2004.7 & 2306.62130234491 & 14.6526230558671 & -114.059869700991 & -1.69184310816180 \tabularnewline
79 & 2390 & 2394.64187373071 & 15.2097974650261 & -90.0876757891502 & 0.768604048349434 \tabularnewline
80 & 2338.4 & 2361.43475742451 & 14.8775509689728 & 33.544469182577 & -0.508501667836641 \tabularnewline
81 & 2724.5 & 2426.80415528719 & 15.1907342646091 & 238.563235007658 & 0.531074532330278 \tabularnewline
82 & 2292.5 & 2404.33786085544 & 14.9876386803755 & -67.6638149641772 & -0.396423861622161 \tabularnewline
83 & 2386 & 2458.42793284984 & 15.1473524141049 & -118.383274852990 & 0.411992538473963 \tabularnewline
84 & 2477.9 & 2438.09045135798 & 15.0775960910862 & 81.6509690256624 & -0.374746211625817 \tabularnewline
85 & 2337 & 2443.87684561586 & 15.0771170248228 & -95.874214394794 & -0.0985211033689705 \tabularnewline
86 & 2605.1 & 2557.22525099611 & 15.4870396322428 & -66.5662736083889 & 1.02681499152840 \tabularnewline
87 & 2560.8 & 2545.16301899572 & 15.2800292390497 & 47.2389521579837 & -0.284660650886326 \tabularnewline
88 & 2839.3 & 2649.05489198203 & 16.0488255660766 & 88.7743203422224 & 0.915686935787295 \tabularnewline
89 & 2407.2 & 2523.57699703456 & 14.8464123661232 & 46.5665049617651 & -1.47004283581418 \tabularnewline
90 & 2085.2 & 2415.59171377946 & 13.8878115060695 & -188.083360113410 & -1.28258112417302 \tabularnewline
91 & 2735.6 & 2557.63456336713 & 14.7900263003081 & 28.7696515393519 & 1.34329543921780 \tabularnewline
92 & 2798.7 & 2652.67717000838 & 15.2989649864161 & 52.2883829277495 & 0.843243234925903 \tabularnewline
93 & 3053.2 & 2722.64042473771 & 15.6085402854971 & 266.573236076617 & 0.575208881577013 \tabularnewline
94 & 2405 & 2651.85678697910 & 15.1902118076113 & -145.567970819499 & -0.909841148191891 \tabularnewline
95 & 2471.9 & 2631.60124309449 & 15.0606449165907 & -118.074090159692 & -0.373589867922924 \tabularnewline
96 & 2727.3 & 2645.29803489513 & 15.0578658894824 & 83.6075755735832 & -0.0143987327864590 \tabularnewline
97 & 2790.7 & 2750.25840298078 & 15.1475446389026 & -65.5897575590314 & 0.950619622651217 \tabularnewline
98 & 2385.4 & 2656.97056761019 & 14.7259312209612 & -145.212663696169 & -1.13470415528651 \tabularnewline
99 & 3206.6 & 2845.02599850767 & 15.8633057511006 & 161.963145975105 & 1.79791858199428 \tabularnewline
100 & 2705.6 & 2766.22739159178 & 15.1345934256816 & 48.1254107678746 & -0.981206003165279 \tabularnewline
101 & 3518.4 & 3014.66607189713 & 16.9337009181384 & 234.697291023687 & 2.42745148945704 \tabularnewline
102 & 1954.9 & 2745.45148491047 & 14.8720388970241 & -458.877676294272 & -2.99044186614255 \tabularnewline
103 & 2584.3 & 2679.91275136416 & 14.3452339659046 & -2.00502499422826 & -0.843259468453997 \tabularnewline
104 & 2535.8 & 2615.69599597557 & 13.8822043049847 & 11.8428830372442 & -0.82577610359993 \tabularnewline
105 & 2685.9 & 2538.2378708689 & 13.4055770850045 & 254.549053113237 & -0.961436959811166 \tabularnewline
106 & 2866 & 2704.28898013606 & 14.0798540770138 & -17.1945059219146 & 1.60804825770784 \tabularnewline
107 & 2236.6 & 2599.89671350018 & 13.6810622381244 & -224.239518588987 & -1.24891539579506 \tabularnewline
108 & 2934.9 & 2698.60906786369 & 13.8626526041147 & 136.310673994245 & 0.897397860258287 \tabularnewline
109 & 2668.6 & 2717.65110336349 & 13.8709089387702 & -55.1434237360001 & 0.0546727393183424 \tabularnewline
110 & 2371.2 & 2673.05942045597 & 13.6549473201582 & -233.705256149577 & -0.6124209648126 \tabularnewline
111 & 3165.9 & 2790.35974383382 & 14.2601597808862 & 255.82761492746 & 1.07823695045743 \tabularnewline
112 & 2887.2 & 2839.57475916538 & 14.5013424591777 & 7.35649226674583 & 0.363242017332657 \tabularnewline
113 & 3112.2 & 2831.36679506593 & 14.3415894715205 & 307.061721915677 & -0.236645570305387 \tabularnewline
114 & 2671.2 & 2934.6273847807 & 14.9346663846294 & -366.557661306286 & 0.930013829035987 \tabularnewline
115 & 2432.6 & 2761.99644584600 & 13.7881684114683 & -111.019332674058 & -1.96785534708222 \tabularnewline
116 & 2812.3 & 2766.61741203591 & 13.7377415660165 & 56.3865451288016 & -0.0963861001898183 \tabularnewline
117 & 3095.7 & 2813.79118085573 & 13.8997538714006 & 242.788194144845 & 0.3520256798499 \tabularnewline
118 & 2862.9 & 2837.32535856298 & 13.9391151715575 & 14.2855328265236 & 0.101514311857133 \tabularnewline
119 & 2607.3 & 2854.00993551540 & 13.9478119417654 & -249.931027717017 & 0.0289453637617892 \tabularnewline
120 & 2862.5 & 2817.9611438155 & 13.8363005281297 & 103.267604395130 & -0.527483258536329 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=62580&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]423.4[/C][C]423.4[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]404.1[/C][C]414.681615828779[/C][C]-0.79705651882702[/C][C]-1.93728484637907[/C][C]-0.0748849046629789[/C][/ROW]
[ROW][C]3[/C][C]500[/C][C]451.460369099[/C][C]1.96301562745611[/C][C]10.7048791179609[/C][C]0.33105286135969[/C][/ROW]
[ROW][C]4[/C][C]472.6[/C][C]461.92035405361[/C][C]2.42724040973775[/C][C]1.19894904926220[/C][C]0.080670994278407[/C][/ROW]
[ROW][C]5[/C][C]496.1[/C][C]476.585110875684[/C][C]2.95340393080522[/C][C]5.10842524021229[/C][C]0.120787400133489[/C][/ROW]
[ROW][C]6[/C][C]562[/C][C]511.918583769467[/C][C]4.12152958075158[/C][C]10.8796997287959[/C][C]0.326151303350756[/C][/ROW]
[ROW][C]7[/C][C]434.8[/C][C]483.36101361428[/C][C]3.07995286631461[/C][C]-8.38288153604376[/C][C]-0.332851874718943[/C][/ROW]
[ROW][C]8[/C][C]538.2[/C][C]504.404515559841[/C][C]3.60474448313365[/C][C]11.5128158055671[/C][C]0.184140383918859[/C][/ROW]
[ROW][C]9[/C][C]577.6[/C][C]534.879736224004[/C][C]4.34198399441463[/C][C]9.21028925041608[/C][C]0.276498908524525[/C][/ROW]
[ROW][C]10[/C][C]518.1[/C][C]530.278681808333[/C][C]4.10796450356718[/C][C]-0.987949681849582[/C][C]-0.0922457911814492[/C][/ROW]
[ROW][C]11[/C][C]625.2[/C][C]568.257220577168[/C][C]4.96141112643288[/C][C]14.4621526986920[/C][C]0.349928097632418[/C][/ROW]
[ROW][C]12[/C][C]561.2[/C][C]567.938170942389[/C][C]4.83253310576678[/C][C]-0.104420004486369[/C][C]-0.0546163700688248[/C][/ROW]
[ROW][C]13[/C][C]523.3[/C][C]572.105013476562[/C][C]4.89491405168368[/C][C]-47.8183911310501[/C][C]-0.00919973127486513[/C][/ROW]
[ROW][C]14[/C][C]536.1[/C][C]562.187699228511[/C][C]4.43310186613281[/C][C]-10.9255770722826[/C][C]-0.133816320615445[/C][/ROW]
[ROW][C]15[/C][C]607.3[/C][C]577.399406168213[/C][C]4.79974553977373[/C][C]18.6389051112383[/C][C]0.100182128668110[/C][/ROW]
[ROW][C]16[/C][C]637.3[/C][C]603.672299247585[/C][C]5.38706338991811[/C][C]9.45223287896997[/C][C]0.211532665589422[/C][/ROW]
[ROW][C]17[/C][C]606.9[/C][C]608.502827307186[/C][C]5.37483467316522[/C][C]-0.950844547061103[/C][C]-0.00564945171623517[/C][/ROW]
[ROW][C]18[/C][C]652.9[/C][C]622.119088800349[/C][C]5.52807326885415[/C][C]20.9410222413410[/C][C]0.084853066246064[/C][/ROW]
[ROW][C]19[/C][C]617.2[/C][C]627.547305804706[/C][C]5.52641884647024[/C][C]-10.2269552614216[/C][C]-0.00103529745057395[/C][/ROW]
[ROW][C]20[/C][C]670.4[/C][C]643.566830445431[/C][C]5.68743458374923[/C][C]14.1238750253802[/C][C]0.109187500165899[/C][/ROW]
[ROW][C]21[/C][C]729.9[/C][C]675.802698841356[/C][C]6.07459358960958[/C][C]21.8533397546293[/C][C]0.276810524347979[/C][/ROW]
[ROW][C]22[/C][C]677.2[/C][C]683.520905304843[/C][C]6.09772562141712[/C][C]-8.32039906787182[/C][C]0.0171578244000113[/C][/ROW]
[ROW][C]23[/C][C]710[/C][C]691.273591909463[/C][C]6.12008661265377[/C][C]16.7103911967106[/C][C]0.0172911155801777[/C][/ROW]
[ROW][C]24[/C][C]844.3[/C][C]752.365548572271[/C][C]6.67933282384765[/C][C]24.6177126429685[/C][C]0.57569474685432[/C][/ROW]
[ROW][C]25[/C][C]748.2[/C][C]777.59647839865[/C][C]6.03121236921146[/C][C]-53.9259589268945[/C][C]0.219212382849823[/C][/ROW]
[ROW][C]26[/C][C]653.9[/C][C]741.138467698815[/C][C]5.34676458649737[/C][C]-39.9442839008349[/C][C]-0.417958907922997[/C][/ROW]
[ROW][C]27[/C][C]742.6[/C][C]736.503594475234[/C][C]5.1193925347843[/C][C]16.9095226695473[/C][C]-0.096937755290350[/C][/ROW]
[ROW][C]28[/C][C]854.2[/C][C]779.546856226033[/C][C]5.87366316703624[/C][C]31.9568568367488[/C][C]0.380285134192497[/C][/ROW]
[ROW][C]29[/C][C]808.4[/C][C]797.389028923652[/C][C]6.06923663547251[/C][C]-2.84762212319504[/C][C]0.122649098111375[/C][/ROW]
[ROW][C]30[/C][C]1819[/C][C]1170.15651069708[/C][C]11.1366676903444[/C][C]217.872836008404[/C][C]3.80015891535140[/C][/ROW]
[ROW][C]31[/C][C]1936.5[/C][C]1488.28012587611[/C][C]14.8987516905338[/C][C]84.6909338240146[/C][C]3.19929130714277[/C][/ROW]
[ROW][C]32[/C][C]1966.1[/C][C]1691.36922728271[/C][C]17.0298511277811[/C][C]51.0021300194606[/C][C]1.96694818968353[/C][/ROW]
[ROW][C]33[/C][C]2083.1[/C][C]1849.50998201992[/C][C]18.5486156662294[/C][C]65.471507412887[/C][C]1.47721516434563[/C][/ROW]
[ROW][C]34[/C][C]1620.1[/C][C]1788.4777369985[/C][C]17.7261832801294[/C][C]-73.436811757611[/C][C]-0.833887993254807[/C][/ROW]
[ROW][C]35[/C][C]1527.6[/C][C]1694.65728535002[/C][C]16.6717882644994[/C][C]-33.7550595192486[/C][C]-1.16984570448234[/C][/ROW]
[ROW][C]36[/C][C]1795[/C][C]1726.19201599965[/C][C]16.7483788139583[/C][C]50.9301593016458[/C][C]0.156422452801543[/C][/ROW]
[ROW][C]37[/C][C]1685.1[/C][C]1760.34076960241[/C][C]16.4555387359094[/C][C]-97.1265453087756[/C][C]0.194589179903709[/C][/ROW]
[ROW][C]38[/C][C]1851.8[/C][C]1824.19918622291[/C][C]16.9218919230483[/C][C]-26.5977918547481[/C][C]0.481696763552767[/C][/ROW]
[ROW][C]39[/C][C]2164.4[/C][C]1960.53764821524[/C][C]18.9332150880959[/C][C]71.8644862312695[/C][C]1.18763942944971[/C][/ROW]
[ROW][C]40[/C][C]1981.8[/C][C]1979.47479652846[/C][C]18.9332779878966[/C][C]2.32077025052791[/C][C]3.98189781001649e-05[/C][/ROW]
[ROW][C]41[/C][C]1726.5[/C][C]1939.37886136656[/C][C]18.1296235182491[/C][C]-144.950031058440[/C][C]-0.607563724682302[/C][/ROW]
[ROW][C]42[/C][C]2144.6[/C][C]1974.7923130348[/C][C]18.3302201976358[/C][C]149.664961888909[/C][C]0.179625438413395[/C][/ROW]
[ROW][C]43[/C][C]1758.2[/C][C]1899.13047308939[/C][C]17.3659908728787[/C][C]-30.6418282790216[/C][C]-0.981839150931345[/C][/ROW]
[ROW][C]44[/C][C]1672.9[/C][C]1816.22559675767[/C][C]16.4204909906713[/C][C]-25.2428046842766[/C][C]-1.05024568558892[/C][/ROW]
[ROW][C]45[/C][C]1837.3[/C][C]1792.80645467560[/C][C]16.0659004761360[/C][C]91.5049021046926[/C][C]-0.417898103098114[/C][/ROW]
[ROW][C]46[/C][C]1596.1[/C][C]1743.52800115373[/C][C]15.5183945315555[/C][C]-70.210851657177[/C][C]-0.6860556357527[/C][/ROW]
[ROW][C]47[/C][C]1446[/C][C]1654.76417784715[/C][C]14.7711028954023[/C][C]-85.284521873523[/C][C]-1.0958684107077[/C][/ROW]
[ROW][C]48[/C][C]1898.4[/C][C]1727.41590420138[/C][C]14.9487957275431[/C][C]102.020263968929[/C][C]0.610623584245753[/C][/ROW]
[ROW][C]49[/C][C]1964.1[/C][C]1861.04976419486[/C][C]13.9421765732852[/C][C]-42.1591938061262[/C][C]1.29270357376042[/C][/ROW]
[ROW][C]50[/C][C]1755.9[/C][C]1862.48411217444[/C][C]13.8559090901685[/C][C]-92.132150889158[/C][C]-0.128962171458361[/C][/ROW]
[ROW][C]51[/C][C]2255.3[/C][C]1990.17034004615[/C][C]15.3475786676892[/C][C]137.512383421624[/C][C]1.14950415400863[/C][/ROW]
[ROW][C]52[/C][C]1881.2[/C][C]1963.10006391371[/C][C]14.7804943081271[/C][C]-33.9229053299088[/C][C]-0.432388162885295[/C][/ROW]
[ROW][C]53[/C][C]2117.9[/C][C]2080.50978582681[/C][C]15.9961106998368[/C][C]-80.4661267842994[/C][C]1.05936803220661[/C][/ROW]
[ROW][C]54[/C][C]1656.5[/C][C]1880.20290960533[/C][C]13.7773130051387[/C][C]27.390221987977[/C][C]-2.25165643708501[/C][/ROW]
[ROW][C]55[/C][C]1544.1[/C][C]1753.90771533616[/C][C]12.5059259070236[/C][C]-46.1741826399388[/C][C]-1.46513487296703[/C][/ROW]
[ROW][C]56[/C][C]2098.9[/C][C]1877.47000313565[/C][C]13.4266586630249[/C][C]91.2347352244816[/C][C]1.16468294381579[/C][/ROW]
[ROW][C]57[/C][C]2133.3[/C][C]1942.49910511026[/C][C]13.8252903893520[/C][C]130.180808765717[/C][C]0.541963513517947[/C][/ROW]
[ROW][C]58[/C][C]1963.5[/C][C]1978.93098686500[/C][C]13.9851713195094[/C][C]-42.0292612880407[/C][C]0.237644193091478[/C][/ROW]
[ROW][C]59[/C][C]1801.2[/C][C]1966.10319842372[/C][C]13.8324159034571[/C][C]-133.289056058794[/C][C]-0.282124432613277[/C][/ROW]
[ROW][C]60[/C][C]2365.4[/C][C]2092.73407126232[/C][C]14.0860404407878[/C][C]138.958760602548[/C][C]1.19117757119819[/C][/ROW]
[ROW][C]61[/C][C]1936.5[/C][C]2071.78207665818[/C][C]14.2272948601356[/C][C]-93.1080792983525[/C][C]-0.376278806217526[/C][/ROW]
[ROW][C]62[/C][C]1667.6[/C][C]1978.78844622617[/C][C]13.6464144891560[/C][C]-186.733152716078[/C][C]-1.11345639529800[/C][/ROW]
[ROW][C]63[/C][C]1983.5[/C][C]1927.78306376109[/C][C]12.962650485947[/C][C]128.942833260640[/C][C]-0.659701973307434[/C][/ROW]
[ROW][C]64[/C][C]2058.6[/C][C]1995.57392398497[/C][C]13.5883505236395[/C][C]0.743690260151816[/C][C]0.561960294236888[/C][/ROW]
[ROW][C]65[/C][C]2448.3[/C][C]2173.01149503698[/C][C]15.3095151552976[/C][C]87.1190956313598[/C][C]1.69524300723591[/C][/ROW]
[ROW][C]66[/C][C]1858.1[/C][C]2058.68664583270[/C][C]14.1068456028677[/C][C]-50.3475590490785[/C][C]-1.3510507818597[/C][/ROW]
[ROW][C]67[/C][C]1625.4[/C][C]1934.84652863461[/C][C]12.9690761620916[/C][C]-148.635292413847[/C][C]-1.44417392948922[/C][/ROW]
[ROW][C]68[/C][C]2130.6[/C][C]1976.39287695622[/C][C]13.1830798622253[/C][C]120.777203758186[/C][C]0.299952412488763[/C][/ROW]
[ROW][C]69[/C][C]2515.7[/C][C]2133.94521101020[/C][C]14.1748973589787[/C][C]212.509584883698[/C][C]1.51756260181880[/C][/ROW]
[ROW][C]70[/C][C]2230.2[/C][C]2202.17826236837[/C][C]14.5054764459158[/C][C]-35.4542567700631[/C][C]0.568748783384594[/C][/ROW]
[ROW][C]71[/C][C]2086.9[/C][C]2234.05589814963[/C][C]14.5876076591898[/C][C]-167.596093221383[/C][C]0.182939477133200[/C][/ROW]
[ROW][C]72[/C][C]2235[/C][C]2189.90572881202[/C][C]14.4708947643872[/C][C]114.502439429009[/C][C]-0.620417966237304[/C][/ROW]
[ROW][C]73[/C][C]2100.2[/C][C]2184.42537285255[/C][C]14.5004052859691[/C][C]-60.4498538718683[/C][C]-0.212552185859943[/C][/ROW]
[ROW][C]74[/C][C]2288.6[/C][C]2292.50356683451[/C][C]14.9332628256618[/C][C]-112.757921127396[/C][C]0.975540535709335[/C][/ROW]
[ROW][C]75[/C][C]2490[/C][C]2342.71872548968[/C][C]15.2437089661143[/C][C]107.024944595666[/C][C]0.362650697387888[/C][/ROW]
[ROW][C]76[/C][C]2573.7[/C][C]2451.96924413409[/C][C]16.1732639350564[/C][C]14.4897244529040[/C][C]0.967849557947195[/C][/ROW]
[ROW][C]77[/C][C]2543.8[/C][C]2452.76569912149[/C][C]16.0285108241447[/C][C]108.712075400525[/C][C]-0.159421684123625[/C][/ROW]
[ROW][C]78[/C][C]2004.7[/C][C]2306.62130234491[/C][C]14.6526230558671[/C][C]-114.059869700991[/C][C]-1.69184310816180[/C][/ROW]
[ROW][C]79[/C][C]2390[/C][C]2394.64187373071[/C][C]15.2097974650261[/C][C]-90.0876757891502[/C][C]0.768604048349434[/C][/ROW]
[ROW][C]80[/C][C]2338.4[/C][C]2361.43475742451[/C][C]14.8775509689728[/C][C]33.544469182577[/C][C]-0.508501667836641[/C][/ROW]
[ROW][C]81[/C][C]2724.5[/C][C]2426.80415528719[/C][C]15.1907342646091[/C][C]238.563235007658[/C][C]0.531074532330278[/C][/ROW]
[ROW][C]82[/C][C]2292.5[/C][C]2404.33786085544[/C][C]14.9876386803755[/C][C]-67.6638149641772[/C][C]-0.396423861622161[/C][/ROW]
[ROW][C]83[/C][C]2386[/C][C]2458.42793284984[/C][C]15.1473524141049[/C][C]-118.383274852990[/C][C]0.411992538473963[/C][/ROW]
[ROW][C]84[/C][C]2477.9[/C][C]2438.09045135798[/C][C]15.0775960910862[/C][C]81.6509690256624[/C][C]-0.374746211625817[/C][/ROW]
[ROW][C]85[/C][C]2337[/C][C]2443.87684561586[/C][C]15.0771170248228[/C][C]-95.874214394794[/C][C]-0.0985211033689705[/C][/ROW]
[ROW][C]86[/C][C]2605.1[/C][C]2557.22525099611[/C][C]15.4870396322428[/C][C]-66.5662736083889[/C][C]1.02681499152840[/C][/ROW]
[ROW][C]87[/C][C]2560.8[/C][C]2545.16301899572[/C][C]15.2800292390497[/C][C]47.2389521579837[/C][C]-0.284660650886326[/C][/ROW]
[ROW][C]88[/C][C]2839.3[/C][C]2649.05489198203[/C][C]16.0488255660766[/C][C]88.7743203422224[/C][C]0.915686935787295[/C][/ROW]
[ROW][C]89[/C][C]2407.2[/C][C]2523.57699703456[/C][C]14.8464123661232[/C][C]46.5665049617651[/C][C]-1.47004283581418[/C][/ROW]
[ROW][C]90[/C][C]2085.2[/C][C]2415.59171377946[/C][C]13.8878115060695[/C][C]-188.083360113410[/C][C]-1.28258112417302[/C][/ROW]
[ROW][C]91[/C][C]2735.6[/C][C]2557.63456336713[/C][C]14.7900263003081[/C][C]28.7696515393519[/C][C]1.34329543921780[/C][/ROW]
[ROW][C]92[/C][C]2798.7[/C][C]2652.67717000838[/C][C]15.2989649864161[/C][C]52.2883829277495[/C][C]0.843243234925903[/C][/ROW]
[ROW][C]93[/C][C]3053.2[/C][C]2722.64042473771[/C][C]15.6085402854971[/C][C]266.573236076617[/C][C]0.575208881577013[/C][/ROW]
[ROW][C]94[/C][C]2405[/C][C]2651.85678697910[/C][C]15.1902118076113[/C][C]-145.567970819499[/C][C]-0.909841148191891[/C][/ROW]
[ROW][C]95[/C][C]2471.9[/C][C]2631.60124309449[/C][C]15.0606449165907[/C][C]-118.074090159692[/C][C]-0.373589867922924[/C][/ROW]
[ROW][C]96[/C][C]2727.3[/C][C]2645.29803489513[/C][C]15.0578658894824[/C][C]83.6075755735832[/C][C]-0.0143987327864590[/C][/ROW]
[ROW][C]97[/C][C]2790.7[/C][C]2750.25840298078[/C][C]15.1475446389026[/C][C]-65.5897575590314[/C][C]0.950619622651217[/C][/ROW]
[ROW][C]98[/C][C]2385.4[/C][C]2656.97056761019[/C][C]14.7259312209612[/C][C]-145.212663696169[/C][C]-1.13470415528651[/C][/ROW]
[ROW][C]99[/C][C]3206.6[/C][C]2845.02599850767[/C][C]15.8633057511006[/C][C]161.963145975105[/C][C]1.79791858199428[/C][/ROW]
[ROW][C]100[/C][C]2705.6[/C][C]2766.22739159178[/C][C]15.1345934256816[/C][C]48.1254107678746[/C][C]-0.981206003165279[/C][/ROW]
[ROW][C]101[/C][C]3518.4[/C][C]3014.66607189713[/C][C]16.9337009181384[/C][C]234.697291023687[/C][C]2.42745148945704[/C][/ROW]
[ROW][C]102[/C][C]1954.9[/C][C]2745.45148491047[/C][C]14.8720388970241[/C][C]-458.877676294272[/C][C]-2.99044186614255[/C][/ROW]
[ROW][C]103[/C][C]2584.3[/C][C]2679.91275136416[/C][C]14.3452339659046[/C][C]-2.00502499422826[/C][C]-0.843259468453997[/C][/ROW]
[ROW][C]104[/C][C]2535.8[/C][C]2615.69599597557[/C][C]13.8822043049847[/C][C]11.8428830372442[/C][C]-0.82577610359993[/C][/ROW]
[ROW][C]105[/C][C]2685.9[/C][C]2538.2378708689[/C][C]13.4055770850045[/C][C]254.549053113237[/C][C]-0.961436959811166[/C][/ROW]
[ROW][C]106[/C][C]2866[/C][C]2704.28898013606[/C][C]14.0798540770138[/C][C]-17.1945059219146[/C][C]1.60804825770784[/C][/ROW]
[ROW][C]107[/C][C]2236.6[/C][C]2599.89671350018[/C][C]13.6810622381244[/C][C]-224.239518588987[/C][C]-1.24891539579506[/C][/ROW]
[ROW][C]108[/C][C]2934.9[/C][C]2698.60906786369[/C][C]13.8626526041147[/C][C]136.310673994245[/C][C]0.897397860258287[/C][/ROW]
[ROW][C]109[/C][C]2668.6[/C][C]2717.65110336349[/C][C]13.8709089387702[/C][C]-55.1434237360001[/C][C]0.0546727393183424[/C][/ROW]
[ROW][C]110[/C][C]2371.2[/C][C]2673.05942045597[/C][C]13.6549473201582[/C][C]-233.705256149577[/C][C]-0.6124209648126[/C][/ROW]
[ROW][C]111[/C][C]3165.9[/C][C]2790.35974383382[/C][C]14.2601597808862[/C][C]255.82761492746[/C][C]1.07823695045743[/C][/ROW]
[ROW][C]112[/C][C]2887.2[/C][C]2839.57475916538[/C][C]14.5013424591777[/C][C]7.35649226674583[/C][C]0.363242017332657[/C][/ROW]
[ROW][C]113[/C][C]3112.2[/C][C]2831.36679506593[/C][C]14.3415894715205[/C][C]307.061721915677[/C][C]-0.236645570305387[/C][/ROW]
[ROW][C]114[/C][C]2671.2[/C][C]2934.6273847807[/C][C]14.9346663846294[/C][C]-366.557661306286[/C][C]0.930013829035987[/C][/ROW]
[ROW][C]115[/C][C]2432.6[/C][C]2761.99644584600[/C][C]13.7881684114683[/C][C]-111.019332674058[/C][C]-1.96785534708222[/C][/ROW]
[ROW][C]116[/C][C]2812.3[/C][C]2766.61741203591[/C][C]13.7377415660165[/C][C]56.3865451288016[/C][C]-0.0963861001898183[/C][/ROW]
[ROW][C]117[/C][C]3095.7[/C][C]2813.79118085573[/C][C]13.8997538714006[/C][C]242.788194144845[/C][C]0.3520256798499[/C][/ROW]
[ROW][C]118[/C][C]2862.9[/C][C]2837.32535856298[/C][C]13.9391151715575[/C][C]14.2855328265236[/C][C]0.101514311857133[/C][/ROW]
[ROW][C]119[/C][C]2607.3[/C][C]2854.00993551540[/C][C]13.9478119417654[/C][C]-249.931027717017[/C][C]0.0289453637617892[/C][/ROW]
[ROW][C]120[/C][C]2862.5[/C][C]2817.9611438155[/C][C]13.8363005281297[/C][C]103.267604395130[/C][C]-0.527483258536329[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=62580&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62580&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
1423.4423.4000
2404.1414.681615828779-0.79705651882702-1.93728484637907-0.0748849046629789
3500451.4603690991.9630156274561110.70487911796090.33105286135969
4472.6461.920354053612.427240409737751.198949049262200.080670994278407
5496.1476.5851108756842.953403930805225.108425240212290.120787400133489
6562511.9185837694674.1215295807515810.87969972879590.326151303350756
7434.8483.361013614283.07995286631461-8.38288153604376-0.332851874718943
8538.2504.4045155598413.6047444831336511.51281580556710.184140383918859
9577.6534.8797362240044.341983994414639.210289250416080.276498908524525
10518.1530.2786818083334.10796450356718-0.987949681849582-0.0922457911814492
11625.2568.2572205771684.9614111264328814.46215269869200.349928097632418
12561.2567.9381709423894.83253310576678-0.104420004486369-0.0546163700688248
13523.3572.1050134765624.89491405168368-47.8183911310501-0.00919973127486513
14536.1562.1876992285114.43310186613281-10.9255770722826-0.133816320615445
15607.3577.3994061682134.7997455397737318.63890511123830.100182128668110
16637.3603.6722992475855.387063389918119.452232878969970.211532665589422
17606.9608.5028273071865.37483467316522-0.950844547061103-0.00564945171623517
18652.9622.1190888003495.5280732688541520.94102224134100.084853066246064
19617.2627.5473058047065.52641884647024-10.2269552614216-0.00103529745057395
20670.4643.5668304454315.6874345837492314.12387502538020.109187500165899
21729.9675.8026988413566.0745935896095821.85333975462930.276810524347979
22677.2683.5209053048436.09772562141712-8.320399067871820.0171578244000113
23710691.2735919094636.1200866126537716.71039119671060.0172911155801777
24844.3752.3655485722716.6793328238476524.61771264296850.57569474685432
25748.2777.596478398656.03121236921146-53.92595892689450.219212382849823
26653.9741.1384676988155.34676458649737-39.9442839008349-0.417958907922997
27742.6736.5035944752345.119392534784316.9095226695473-0.096937755290350
28854.2779.5468562260335.8736631670362431.95685683674880.380285134192497
29808.4797.3890289236526.06923663547251-2.847622123195040.122649098111375
3018191170.1565106970811.1366676903444217.8728360084043.80015891535140
311936.51488.2801258761114.898751690533884.69093382401463.19929130714277
321966.11691.3692272827117.029851127781151.00213001946061.96694818968353
332083.11849.5099820199218.548615666229465.4715074128871.47721516434563
341620.11788.477736998517.7261832801294-73.436811757611-0.833887993254807
351527.61694.6572853500216.6717882644994-33.7550595192486-1.16984570448234
3617951726.1920159996516.748378813958350.93015930164580.156422452801543
371685.11760.3407696024116.4555387359094-97.12654530877560.194589179903709
381851.81824.1991862229116.9218919230483-26.59779185474810.481696763552767
392164.41960.5376482152418.933215088095971.86448623126951.18763942944971
401981.81979.4747965284618.93327798789662.320770250527913.98189781001649e-05
411726.51939.3788613665618.1296235182491-144.950031058440-0.607563724682302
422144.61974.792313034818.3302201976358149.6649618889090.179625438413395
431758.21899.1304730893917.3659908728787-30.6418282790216-0.981839150931345
441672.91816.2255967576716.4204909906713-25.2428046842766-1.05024568558892
451837.31792.8064546756016.065900476136091.5049021046926-0.417898103098114
461596.11743.5280011537315.5183945315555-70.210851657177-0.6860556357527
4714461654.7641778471514.7711028954023-85.284521873523-1.0958684107077
481898.41727.4159042013814.9487957275431102.0202639689290.610623584245753
491964.11861.0497641948613.9421765732852-42.15919380612621.29270357376042
501755.91862.4841121744413.8559090901685-92.132150889158-0.128962171458361
512255.31990.1703400461515.3475786676892137.5123834216241.14950415400863
521881.21963.1000639137114.7804943081271-33.9229053299088-0.432388162885295
532117.92080.5097858268115.9961106998368-80.46612678429941.05936803220661
541656.51880.2029096053313.777313005138727.390221987977-2.25165643708501
551544.11753.9077153361612.5059259070236-46.1741826399388-1.46513487296703
562098.91877.4700031356513.426658663024991.23473522448161.16468294381579
572133.31942.4991051102613.8252903893520130.1808087657170.541963513517947
581963.51978.9309868650013.9851713195094-42.02926128804070.237644193091478
591801.21966.1031984237213.8324159034571-133.289056058794-0.282124432613277
602365.42092.7340712623214.0860404407878138.9587606025481.19117757119819
611936.52071.7820766581814.2272948601356-93.1080792983525-0.376278806217526
621667.61978.7884462261713.6464144891560-186.733152716078-1.11345639529800
631983.51927.7830637610912.962650485947128.942833260640-0.659701973307434
642058.61995.5739239849713.58835052363950.7436902601518160.561960294236888
652448.32173.0114950369815.309515155297687.11909563135981.69524300723591
661858.12058.6866458327014.1068456028677-50.3475590490785-1.3510507818597
671625.41934.8465286346112.9690761620916-148.635292413847-1.44417392948922
682130.61976.3928769562213.1830798622253120.7772037581860.299952412488763
692515.72133.9452110102014.1748973589787212.5095848836981.51756260181880
702230.22202.1782623683714.5054764459158-35.45425677006310.568748783384594
712086.92234.0558981496314.5876076591898-167.5960932213830.182939477133200
7222352189.9057288120214.4708947643872114.502439429009-0.620417966237304
732100.22184.4253728525514.5004052859691-60.4498538718683-0.212552185859943
742288.62292.5035668345114.9332628256618-112.7579211273960.975540535709335
7524902342.7187254896815.2437089661143107.0249445956660.362650697387888
762573.72451.9692441340916.173263935056414.48972445290400.967849557947195
772543.82452.7656991214916.0285108241447108.712075400525-0.159421684123625
782004.72306.6213023449114.6526230558671-114.059869700991-1.69184310816180
7923902394.6418737307115.2097974650261-90.08767578915020.768604048349434
802338.42361.4347574245114.877550968972833.544469182577-0.508501667836641
812724.52426.8041552871915.1907342646091238.5632350076580.531074532330278
822292.52404.3378608554414.9876386803755-67.6638149641772-0.396423861622161
8323862458.4279328498415.1473524141049-118.3832748529900.411992538473963
842477.92438.0904513579815.077596091086281.6509690256624-0.374746211625817
8523372443.8768456158615.0771170248228-95.874214394794-0.0985211033689705
862605.12557.2252509961115.4870396322428-66.56627360838891.02681499152840
872560.82545.1630189957215.280029239049747.2389521579837-0.284660650886326
882839.32649.0548919820316.048825566076688.77432034222240.915686935787295
892407.22523.5769970345614.846412366123246.5665049617651-1.47004283581418
902085.22415.5917137794613.8878115060695-188.083360113410-1.28258112417302
912735.62557.6345633671314.790026300308128.76965153935191.34329543921780
922798.72652.6771700083815.298964986416152.28838292774950.843243234925903
933053.22722.6404247377115.6085402854971266.5732360766170.575208881577013
9424052651.8567869791015.1902118076113-145.567970819499-0.909841148191891
952471.92631.6012430944915.0606449165907-118.074090159692-0.373589867922924
962727.32645.2980348951315.057865889482483.6075755735832-0.0143987327864590
972790.72750.2584029807815.1475446389026-65.58975755903140.950619622651217
982385.42656.9705676101914.7259312209612-145.212663696169-1.13470415528651
993206.62845.0259985076715.8633057511006161.9631459751051.79791858199428
1002705.62766.2273915917815.134593425681648.1254107678746-0.981206003165279
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1021954.92745.4514849104714.8720388970241-458.877676294272-2.99044186614255
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1052685.92538.237870868913.4055770850045254.549053113237-0.961436959811166
10628662704.2889801360614.0798540770138-17.19450592191461.60804825770784
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1162812.32766.6174120359113.737741566016556.3865451288016-0.0963861001898183
1173095.72813.7911808557313.8997538714006242.7881941448450.3520256798499
1182862.92837.3253585629813.939115171557514.28553282652360.101514311857133
1192607.32854.0099355154013.9478119417654-249.9310277170170.0289453637617892
1202862.52817.961143815513.8363005281297103.267604395130-0.527483258536329



Parameters (Session):
par1 = FALSE ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = 3 ; par7 = 1 ; par8 = 2 ; par9 = 1 ;
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')