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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, 10 Dec 2014 13:36:16 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/10/t1418218610yz3t3apvk5y0vvc.htm/, Retrieved Sun, 19 May 2024 15:52:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265158, Retrieved Sun, 19 May 2024 15:52:41 +0000
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IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact75
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Dataseries X:
9 769
9 321
9 939
9 336
10 195
9 464
10 010
10 213
9 563
9 890
9 305
9 391
9 928
8 686
9 843
9 627
10 074
9 503
10 119
10 000
9 313
9 866
9 172
9 241
9 659
8 904
9 755
9 080
9 435
8 971
10 063
9 793
9 454
9 759
8 820
9 403
9 676
8 642
9 402
9 610
9 294
9 448
10 319
9 548
9 801
9 596
8 923
9 746
9 829
9 125
9 782
9 441
9 162
9 915
10 444
10 209
9 985
9 842
9 429
10 132
9 849
9 172
10 313
9 819
9 955
10 048
10 082
10 541
10 208
10 233
9 439
9 963
10 158
9 225
10 474
9 757
10 490
10 281
10 444
10 640
10 695
10 786
9 832
9 747
10 411
9 511
10 402
9 701
10 540
10 112
10 915
11 183
10 384
10 834
9 886
10 216
10 943
9 867
10 203
10 837
10 573
10 647
11 502
10 656
10 866
10 835
9 945
10 331
10 718
9 462
10 579
10 633
10 346
10 757
11 207
11 013
11 015
10 765
10 042
10 661




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265158&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265158&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265158&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 time3 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Structural Time Series Model
tObservedLevelSlopeSeasonalStand. Residuals
197699769000
293219728.34720705023.29357315009066-298.619751988713-1.78061035127156
399399734.451192495123.63050020900392202.8117218544030.0335895096464709
493369620.80251127874-10.1909920384091-226.271530367267-1.23850050313398
5101959739.384150883563.15153254391469382.3481563086781.52882426192829
694649706.3800002341-0.0443462111667374-218.442929989579-0.484884531935192
7100109765.021355364424.37278987500109201.6607594944640.857821210209701
8102139880.9150586327811.6219558178638243.7480216882051.72342082946518
995639853.934125950819.40822632601252-258.954095548224-0.617992064663058
1098909855.097017080778.981770637709441.9327373480825-0.135013202341897
1193059745.192782488663.32837838022365-336.905541884778-1.97572083613783
1293919637.69295375016-1.59086868393733-149.163515351744-1.8604422888572
1399289637.41187222991-1.60426193291932289.2549874189170.0260149919860225
1486869512.15078296608-2.74673120644122-711.272211985808-2.25363551262075
1598439480.75517045436-3.63596247128182385.267303044607-0.462318276941939
1696279564.412867505610.00957751216540936-2.509903069976421.33385127925478
17100749618.095231776982.42031416270125416.1819998517780.820475973035134
1895039674.469823888584.79423649455665-212.399809553860.84498422531384
19101199757.750684709148.0284058319498299.7492551813821.26458717103653
20100009776.9834288578.45164619416362213.9757548525430.185034845671209
2193139735.824666417316.75206360717716-381.840686732188-0.835176475476305
2298669714.220187437645.88121313698302175.640542360895-0.484333680896719
2391729649.207037424433.98456163053305-416.624371180641-1.22503227333318
2492419573.714099658282.27537023339608-263.669671075536-1.39064402993251
2596599496.163000264691.21944327337263234.084037195928-1.43098377082246
2689049499.934989074551.25679793241658-598.1800377259810.0451388937589146
2797559498.839501672511.20966142568245258.152804252646-0.0402974019269631
2890809435.53941465233-0.390435834856253-302.570434944149-1.07902179130819
2994359351.06880281544-2.70515459544764152.082915926602-1.39507862206944
3089719303.50735432502-3.97672844868263-296.067003114779-0.74733019709959
31100639368.85890591538-2.05021470662306637.2236997335311.16682155995323
3297939410.88892288593-0.888600953363107345.436893991880.750586603173841
3394549486.748382432720.983051518066699-97.43891990429511.32105777799457
3497599506.122932484011.38919826479489237.1948618756220.319493720007905
3588209443.190205612050.132586132832246-567.792667107166-1.12603262338811
3694039449.798753410360.241926445287493-52.42484691372370.114127404744342
3796769445.499109246670.175378868295848234.471100842662-0.0804187492501687
3886429397.08963495788-0.537261793161695-712.803521111743-0.856649329727968
3994029317.94961650519-1.81649405158826151.625846212927-1.37155786701164
4096109389.90992379789-0.472106984440279157.4507836859881.27479558514971
4192949366.5976755109-0.922002001253986-53.3470509233858-0.392681963121858
4294489447.527575056230.748275351431317-68.44079550432221.40751598527326
43103199527.88930832042.36959444479598723.8387517317111.37426350642387
4495489504.348076584711.8586499071605665.681841448501-0.449759209038647
4598019567.874363369213.00826966252699180.3261610876331.0767568840304
4695969538.363237633122.4457630923729285.6681706936266-0.570908964929139
4789239520.476838592122.12347644431355-579.847076077348-0.358599938178448
4897469560.588066887452.67477865681728152.3237186144050.67230061657582
4998299569.925165843112.76531317191823253.2589502234020.11808598313763
5091259618.60198355973.38254333061816-533.6171389401420.81244258277298
5197829653.541801623993.8231075229807101.0800510284170.556244343622627
5294419605.938397292033.06425138171583-120.554083123032-0.902742089593144
5391629542.774697904812.03984328876636-323.821454061617-1.15961104159205
5499159618.549782663113.21068070171257233.1061591032141.29062449101697
55104449660.460534202363.8265811928042750.2477382881310.678447264349995
56102099770.548457966245.4840252202296346.7657772019811.86798688651894
5799859807.710946050795.95935218960311149.8523410046510.558678299978241
5898429814.530898475985.9716070003041226.72084938276970.0152254182581936
5994299864.326438983756.55997032583756-473.5600744745510.777416987260392
60101329908.95030886277.04341822729374189.7571280238520.676536325474431
6198499878.17067914726.581583980147783.95022218208464-0.672786555237105
6291729843.24485637436.08112457388605-634.915330905876-0.737910792102219
63103139895.000857589336.63870974820283378.0941013382120.81073798797045
6498199922.519756153936.90020595362899-121.7218765880640.369976167906442
65995510020.62118901518.07158202231156-144.99154482861.61406358379519
661004810034.57017853548.14825184081278.317797804439190.103993444073727
67100829938.089984254546.78158071403534234.969104490332-1.85263058338042
68105419967.457180086557.07262269928018553.8558517266390.400493887402841
691020810000.54230223767.39903568628965184.7361933504910.462091135842983
701023310059.96368341888.02887382699049127.4941580514220.925836298282215
71943910058.53763228327.91884785026243-611.24373201329-0.168539614730934
72996310005.3091851167.2329083074068411.4106811846904-1.09125338363722
731015810020.06176830297.31503077794745131.3268014131970.134271915077142
74922510011.87582736547.14782371146831-773.247545628002-0.276757265209819
751047410037.70833164477.34968010704818419.8753180243370.333404356776622
76975710032.36994290347.21121225092964-264.232451821117-0.22623809203622
771049010137.07296575828.28768458147521267.4122105891941.73746145527392
781028110183.36620556178.7103953592143964.30534095776140.677268853002839
791044410213.95006007498.95348089385353210.8615613510310.389951326228894
801064010211.98937686868.83341455057076437.593342369314-0.194730999462854
811069510275.11659065499.41964504642056372.1556056114590.969724485632124
821078610361.458335297810.2298890888745356.832780176321.37539202532033
83983210398.633821759910.5060999787115-590.3811415207820.482272642606988
84974710299.54959364149.41086198397482-455.874773397148-1.96291110352657
851041110274.1162898449.06938377642828167.63872416203-0.624366372086918
86951110281.16027743629.04975956020492-768.372313734235-0.0362956354382387
871040210243.45344500458.5982601952189199.814309165202-0.83774930337294
88970110208.18934818158.17382663793936-468.488994844134-0.785689474222034
891054010223.04235327498.23870112108038311.0661202129660.119620341428
901011210206.41681084757.99676019307195-72.4857471387194-0.44531665464275
911091510299.59297126538.82334343404294540.2570953137141.52597697001584
921118310424.25044916889.93801951362054656.4997764330572.076180348264
931038410401.15232347059.6244569679463612.0308648031794-0.592508781415176
941083410406.0460366879.58034222545465432.136363537923-0.0849045956751697
95988610402.56240565049.46084992980563-505.003753479275-0.234612577246543
961021610445.99384502659.76592741603455-260.0690902575930.610375808034428
971094310517.407011851410.3113226049065370.9916186640161.10802558190322
98986710555.589606353510.5553829372802-713.2803317552850.50102236669347
991020310470.27922992499.72054115938625-182.351377958625-1.7233332678631
1001083710605.172226367110.8083251956435120.9444231983752.25006595499293
1011057310597.176498949410.6450326574102-7.51986149897775-0.338011583408604
1021064710645.419117461710.9710200763756-31.724908468080.675889712581302
1031150210738.788167846611.6825610848401690.2044847197511.48157593139911
1041065610636.496035082910.7056019501136120.525542573906-2.05002365791452
1051086610652.7901269110.752994080124208.25416768530.100559816173543
1061083510622.555800916210.4099700786923248.80962015873-0.737857861664562
107994510599.910536193510.1372616289601-625.567769958131-0.595314922119689
1081033110608.206470059410.1222790700533-275.571228883744-0.0331735231892414
1091071810571.59793618749.74654517323442187.916163628513-0.842125399060411
110946210490.36548864099.02171420809851-947.526173924811-1.63977854625795
1111057910539.83971693559.341964620132693.212413156099640.729167686003758
1121063310554.1909691369.3814563572389374.35732590173880.0902984124757674
1131034610534.37014273029.15196624822527-162.416970276366-0.526438015753989
1141075710580.48949470289.44146999357718143.6528207222170.666492982785892
1151120710565.70536017429.2526670576031662.830941765236-0.43684408218088
1161101310618.88235394779.59267335656032355.0591544936940.792246404374165
1171101510661.03224219169.84247949491583325.0077028394290.587389970519702
1181076510643.50849454689.63466842012172145.842849647458-0.493886508989055
1191004210640.43508268779.53923290534719-587.123018334101-0.229414528484657
1201066110683.64789230839.78937739075278-52.6318306813970.60805598875255

\begin{tabular}{lllllllll}
\hline
Structural Time Series Model \tabularnewline
t & Observed & Level & Slope & Seasonal & Stand. Residuals \tabularnewline
1 & 9769 & 9769 & 0 & 0 & 0 \tabularnewline
2 & 9321 & 9728.3472070502 & 3.29357315009066 & -298.619751988713 & -1.78061035127156 \tabularnewline
3 & 9939 & 9734.45119249512 & 3.63050020900392 & 202.811721854403 & 0.0335895096464709 \tabularnewline
4 & 9336 & 9620.80251127874 & -10.1909920384091 & -226.271530367267 & -1.23850050313398 \tabularnewline
5 & 10195 & 9739.38415088356 & 3.15153254391469 & 382.348156308678 & 1.52882426192829 \tabularnewline
6 & 9464 & 9706.3800002341 & -0.0443462111667374 & -218.442929989579 & -0.484884531935192 \tabularnewline
7 & 10010 & 9765.02135536442 & 4.37278987500109 & 201.660759494464 & 0.857821210209701 \tabularnewline
8 & 10213 & 9880.91505863278 & 11.6219558178638 & 243.748021688205 & 1.72342082946518 \tabularnewline
9 & 9563 & 9853.93412595081 & 9.40822632601252 & -258.954095548224 & -0.617992064663058 \tabularnewline
10 & 9890 & 9855.09701708077 & 8.9817706377094 & 41.9327373480825 & -0.135013202341897 \tabularnewline
11 & 9305 & 9745.19278248866 & 3.32837838022365 & -336.905541884778 & -1.97572083613783 \tabularnewline
12 & 9391 & 9637.69295375016 & -1.59086868393733 & -149.163515351744 & -1.8604422888572 \tabularnewline
13 & 9928 & 9637.41187222991 & -1.60426193291932 & 289.254987418917 & 0.0260149919860225 \tabularnewline
14 & 8686 & 9512.15078296608 & -2.74673120644122 & -711.272211985808 & -2.25363551262075 \tabularnewline
15 & 9843 & 9480.75517045436 & -3.63596247128182 & 385.267303044607 & -0.462318276941939 \tabularnewline
16 & 9627 & 9564.41286750561 & 0.00957751216540936 & -2.50990306997642 & 1.33385127925478 \tabularnewline
17 & 10074 & 9618.09523177698 & 2.42031416270125 & 416.181999851778 & 0.820475973035134 \tabularnewline
18 & 9503 & 9674.46982388858 & 4.79423649455665 & -212.39980955386 & 0.84498422531384 \tabularnewline
19 & 10119 & 9757.75068470914 & 8.0284058319498 & 299.749255181382 & 1.26458717103653 \tabularnewline
20 & 10000 & 9776.983428857 & 8.45164619416362 & 213.975754852543 & 0.185034845671209 \tabularnewline
21 & 9313 & 9735.82466641731 & 6.75206360717716 & -381.840686732188 & -0.835176475476305 \tabularnewline
22 & 9866 & 9714.22018743764 & 5.88121313698302 & 175.640542360895 & -0.484333680896719 \tabularnewline
23 & 9172 & 9649.20703742443 & 3.98456163053305 & -416.624371180641 & -1.22503227333318 \tabularnewline
24 & 9241 & 9573.71409965828 & 2.27537023339608 & -263.669671075536 & -1.39064402993251 \tabularnewline
25 & 9659 & 9496.16300026469 & 1.21944327337263 & 234.084037195928 & -1.43098377082246 \tabularnewline
26 & 8904 & 9499.93498907455 & 1.25679793241658 & -598.180037725981 & 0.0451388937589146 \tabularnewline
27 & 9755 & 9498.83950167251 & 1.20966142568245 & 258.152804252646 & -0.0402974019269631 \tabularnewline
28 & 9080 & 9435.53941465233 & -0.390435834856253 & -302.570434944149 & -1.07902179130819 \tabularnewline
29 & 9435 & 9351.06880281544 & -2.70515459544764 & 152.082915926602 & -1.39507862206944 \tabularnewline
30 & 8971 & 9303.50735432502 & -3.97672844868263 & -296.067003114779 & -0.74733019709959 \tabularnewline
31 & 10063 & 9368.85890591538 & -2.05021470662306 & 637.223699733531 & 1.16682155995323 \tabularnewline
32 & 9793 & 9410.88892288593 & -0.888600953363107 & 345.43689399188 & 0.750586603173841 \tabularnewline
33 & 9454 & 9486.74838243272 & 0.983051518066699 & -97.4389199042951 & 1.32105777799457 \tabularnewline
34 & 9759 & 9506.12293248401 & 1.38919826479489 & 237.194861875622 & 0.319493720007905 \tabularnewline
35 & 8820 & 9443.19020561205 & 0.132586132832246 & -567.792667107166 & -1.12603262338811 \tabularnewline
36 & 9403 & 9449.79875341036 & 0.241926445287493 & -52.4248469137237 & 0.114127404744342 \tabularnewline
37 & 9676 & 9445.49910924667 & 0.175378868295848 & 234.471100842662 & -0.0804187492501687 \tabularnewline
38 & 8642 & 9397.08963495788 & -0.537261793161695 & -712.803521111743 & -0.856649329727968 \tabularnewline
39 & 9402 & 9317.94961650519 & -1.81649405158826 & 151.625846212927 & -1.37155786701164 \tabularnewline
40 & 9610 & 9389.90992379789 & -0.472106984440279 & 157.450783685988 & 1.27479558514971 \tabularnewline
41 & 9294 & 9366.5976755109 & -0.922002001253986 & -53.3470509233858 & -0.392681963121858 \tabularnewline
42 & 9448 & 9447.52757505623 & 0.748275351431317 & -68.4407955043222 & 1.40751598527326 \tabularnewline
43 & 10319 & 9527.8893083204 & 2.36959444479598 & 723.838751731711 & 1.37426350642387 \tabularnewline
44 & 9548 & 9504.34807658471 & 1.85864990716056 & 65.681841448501 & -0.449759209038647 \tabularnewline
45 & 9801 & 9567.87436336921 & 3.00826966252699 & 180.326161087633 & 1.0767568840304 \tabularnewline
46 & 9596 & 9538.36323763312 & 2.44576309237292 & 85.6681706936266 & -0.570908964929139 \tabularnewline
47 & 8923 & 9520.47683859212 & 2.12347644431355 & -579.847076077348 & -0.358599938178448 \tabularnewline
48 & 9746 & 9560.58806688745 & 2.67477865681728 & 152.323718614405 & 0.67230061657582 \tabularnewline
49 & 9829 & 9569.92516584311 & 2.76531317191823 & 253.258950223402 & 0.11808598313763 \tabularnewline
50 & 9125 & 9618.6019835597 & 3.38254333061816 & -533.617138940142 & 0.81244258277298 \tabularnewline
51 & 9782 & 9653.54180162399 & 3.8231075229807 & 101.080051028417 & 0.556244343622627 \tabularnewline
52 & 9441 & 9605.93839729203 & 3.06425138171583 & -120.554083123032 & -0.902742089593144 \tabularnewline
53 & 9162 & 9542.77469790481 & 2.03984328876636 & -323.821454061617 & -1.15961104159205 \tabularnewline
54 & 9915 & 9618.54978266311 & 3.21068070171257 & 233.106159103214 & 1.29062449101697 \tabularnewline
55 & 10444 & 9660.46053420236 & 3.8265811928042 & 750.247738288131 & 0.678447264349995 \tabularnewline
56 & 10209 & 9770.54845796624 & 5.4840252202296 & 346.765777201981 & 1.86798688651894 \tabularnewline
57 & 9985 & 9807.71094605079 & 5.95935218960311 & 149.852341004651 & 0.558678299978241 \tabularnewline
58 & 9842 & 9814.53089847598 & 5.97160700030412 & 26.7208493827697 & 0.0152254182581936 \tabularnewline
59 & 9429 & 9864.32643898375 & 6.55997032583756 & -473.560074474551 & 0.777416987260392 \tabularnewline
60 & 10132 & 9908.9503088627 & 7.04341822729374 & 189.757128023852 & 0.676536325474431 \tabularnewline
61 & 9849 & 9878.1706791472 & 6.58158398014778 & 3.95022218208464 & -0.672786555237105 \tabularnewline
62 & 9172 & 9843.2448563743 & 6.08112457388605 & -634.915330905876 & -0.737910792102219 \tabularnewline
63 & 10313 & 9895.00085758933 & 6.63870974820283 & 378.094101338212 & 0.81073798797045 \tabularnewline
64 & 9819 & 9922.51975615393 & 6.90020595362899 & -121.721876588064 & 0.369976167906442 \tabularnewline
65 & 9955 & 10020.6211890151 & 8.07158202231156 & -144.9915448286 & 1.61406358379519 \tabularnewline
66 & 10048 & 10034.5701785354 & 8.1482518408127 & 8.31779780443919 & 0.103993444073727 \tabularnewline
67 & 10082 & 9938.08998425454 & 6.78158071403534 & 234.969104490332 & -1.85263058338042 \tabularnewline
68 & 10541 & 9967.45718008655 & 7.07262269928018 & 553.855851726639 & 0.400493887402841 \tabularnewline
69 & 10208 & 10000.5423022376 & 7.39903568628965 & 184.736193350491 & 0.462091135842983 \tabularnewline
70 & 10233 & 10059.9636834188 & 8.02887382699049 & 127.494158051422 & 0.925836298282215 \tabularnewline
71 & 9439 & 10058.5376322832 & 7.91884785026243 & -611.24373201329 & -0.168539614730934 \tabularnewline
72 & 9963 & 10005.309185116 & 7.23290830740684 & 11.4106811846904 & -1.09125338363722 \tabularnewline
73 & 10158 & 10020.0617683029 & 7.31503077794745 & 131.326801413197 & 0.134271915077142 \tabularnewline
74 & 9225 & 10011.8758273654 & 7.14782371146831 & -773.247545628002 & -0.276757265209819 \tabularnewline
75 & 10474 & 10037.7083316447 & 7.34968010704818 & 419.875318024337 & 0.333404356776622 \tabularnewline
76 & 9757 & 10032.3699429034 & 7.21121225092964 & -264.232451821117 & -0.22623809203622 \tabularnewline
77 & 10490 & 10137.0729657582 & 8.28768458147521 & 267.412210589194 & 1.73746145527392 \tabularnewline
78 & 10281 & 10183.3662055617 & 8.71039535921439 & 64.3053409577614 & 0.677268853002839 \tabularnewline
79 & 10444 & 10213.9500600749 & 8.95348089385353 & 210.861561351031 & 0.389951326228894 \tabularnewline
80 & 10640 & 10211.9893768686 & 8.83341455057076 & 437.593342369314 & -0.194730999462854 \tabularnewline
81 & 10695 & 10275.1165906549 & 9.41964504642056 & 372.155605611459 & 0.969724485632124 \tabularnewline
82 & 10786 & 10361.4583352978 & 10.2298890888745 & 356.83278017632 & 1.37539202532033 \tabularnewline
83 & 9832 & 10398.6338217599 & 10.5060999787115 & -590.381141520782 & 0.482272642606988 \tabularnewline
84 & 9747 & 10299.5495936414 & 9.41086198397482 & -455.874773397148 & -1.96291110352657 \tabularnewline
85 & 10411 & 10274.116289844 & 9.06938377642828 & 167.63872416203 & -0.624366372086918 \tabularnewline
86 & 9511 & 10281.1602774362 & 9.04975956020492 & -768.372313734235 & -0.0362956354382387 \tabularnewline
87 & 10402 & 10243.4534450045 & 8.5982601952189 & 199.814309165202 & -0.83774930337294 \tabularnewline
88 & 9701 & 10208.1893481815 & 8.17382663793936 & -468.488994844134 & -0.785689474222034 \tabularnewline
89 & 10540 & 10223.0423532749 & 8.23870112108038 & 311.066120212966 & 0.119620341428 \tabularnewline
90 & 10112 & 10206.4168108475 & 7.99676019307195 & -72.4857471387194 & -0.44531665464275 \tabularnewline
91 & 10915 & 10299.5929712653 & 8.82334343404294 & 540.257095313714 & 1.52597697001584 \tabularnewline
92 & 11183 & 10424.2504491688 & 9.93801951362054 & 656.499776433057 & 2.076180348264 \tabularnewline
93 & 10384 & 10401.1523234705 & 9.62445696794636 & 12.0308648031794 & -0.592508781415176 \tabularnewline
94 & 10834 & 10406.046036687 & 9.58034222545465 & 432.136363537923 & -0.0849045956751697 \tabularnewline
95 & 9886 & 10402.5624056504 & 9.46084992980563 & -505.003753479275 & -0.234612577246543 \tabularnewline
96 & 10216 & 10445.9938450265 & 9.76592741603455 & -260.069090257593 & 0.610375808034428 \tabularnewline
97 & 10943 & 10517.4070118514 & 10.3113226049065 & 370.991618664016 & 1.10802558190322 \tabularnewline
98 & 9867 & 10555.5896063535 & 10.5553829372802 & -713.280331755285 & 0.50102236669347 \tabularnewline
99 & 10203 & 10470.2792299249 & 9.72054115938625 & -182.351377958625 & -1.7233332678631 \tabularnewline
100 & 10837 & 10605.1722263671 & 10.8083251956435 & 120.944423198375 & 2.25006595499293 \tabularnewline
101 & 10573 & 10597.1764989494 & 10.6450326574102 & -7.51986149897775 & -0.338011583408604 \tabularnewline
102 & 10647 & 10645.4191174617 & 10.9710200763756 & -31.72490846808 & 0.675889712581302 \tabularnewline
103 & 11502 & 10738.7881678466 & 11.6825610848401 & 690.204484719751 & 1.48157593139911 \tabularnewline
104 & 10656 & 10636.4960350829 & 10.7056019501136 & 120.525542573906 & -2.05002365791452 \tabularnewline
105 & 10866 & 10652.79012691 & 10.752994080124 & 208.2541676853 & 0.100559816173543 \tabularnewline
106 & 10835 & 10622.5558009162 & 10.4099700786923 & 248.80962015873 & -0.737857861664562 \tabularnewline
107 & 9945 & 10599.9105361935 & 10.1372616289601 & -625.567769958131 & -0.595314922119689 \tabularnewline
108 & 10331 & 10608.2064700594 & 10.1222790700533 & -275.571228883744 & -0.0331735231892414 \tabularnewline
109 & 10718 & 10571.5979361874 & 9.74654517323442 & 187.916163628513 & -0.842125399060411 \tabularnewline
110 & 9462 & 10490.3654886409 & 9.02171420809851 & -947.526173924811 & -1.63977854625795 \tabularnewline
111 & 10579 & 10539.8397169355 & 9.34196462013269 & 3.21241315609964 & 0.729167686003758 \tabularnewline
112 & 10633 & 10554.190969136 & 9.38145635723893 & 74.3573259017388 & 0.0902984124757674 \tabularnewline
113 & 10346 & 10534.3701427302 & 9.15196624822527 & -162.416970276366 & -0.526438015753989 \tabularnewline
114 & 10757 & 10580.4894947028 & 9.44146999357718 & 143.652820722217 & 0.666492982785892 \tabularnewline
115 & 11207 & 10565.7053601742 & 9.2526670576031 & 662.830941765236 & -0.43684408218088 \tabularnewline
116 & 11013 & 10618.8823539477 & 9.59267335656032 & 355.059154493694 & 0.792246404374165 \tabularnewline
117 & 11015 & 10661.0322421916 & 9.84247949491583 & 325.007702839429 & 0.587389970519702 \tabularnewline
118 & 10765 & 10643.5084945468 & 9.63466842012172 & 145.842849647458 & -0.493886508989055 \tabularnewline
119 & 10042 & 10640.4350826877 & 9.53923290534719 & -587.123018334101 & -0.229414528484657 \tabularnewline
120 & 10661 & 10683.6478923083 & 9.78937739075278 & -52.631830681397 & 0.60805598875255 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265158&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]9769[/C][C]9769[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]9321[/C][C]9728.3472070502[/C][C]3.29357315009066[/C][C]-298.619751988713[/C][C]-1.78061035127156[/C][/ROW]
[ROW][C]3[/C][C]9939[/C][C]9734.45119249512[/C][C]3.63050020900392[/C][C]202.811721854403[/C][C]0.0335895096464709[/C][/ROW]
[ROW][C]4[/C][C]9336[/C][C]9620.80251127874[/C][C]-10.1909920384091[/C][C]-226.271530367267[/C][C]-1.23850050313398[/C][/ROW]
[ROW][C]5[/C][C]10195[/C][C]9739.38415088356[/C][C]3.15153254391469[/C][C]382.348156308678[/C][C]1.52882426192829[/C][/ROW]
[ROW][C]6[/C][C]9464[/C][C]9706.3800002341[/C][C]-0.0443462111667374[/C][C]-218.442929989579[/C][C]-0.484884531935192[/C][/ROW]
[ROW][C]7[/C][C]10010[/C][C]9765.02135536442[/C][C]4.37278987500109[/C][C]201.660759494464[/C][C]0.857821210209701[/C][/ROW]
[ROW][C]8[/C][C]10213[/C][C]9880.91505863278[/C][C]11.6219558178638[/C][C]243.748021688205[/C][C]1.72342082946518[/C][/ROW]
[ROW][C]9[/C][C]9563[/C][C]9853.93412595081[/C][C]9.40822632601252[/C][C]-258.954095548224[/C][C]-0.617992064663058[/C][/ROW]
[ROW][C]10[/C][C]9890[/C][C]9855.09701708077[/C][C]8.9817706377094[/C][C]41.9327373480825[/C][C]-0.135013202341897[/C][/ROW]
[ROW][C]11[/C][C]9305[/C][C]9745.19278248866[/C][C]3.32837838022365[/C][C]-336.905541884778[/C][C]-1.97572083613783[/C][/ROW]
[ROW][C]12[/C][C]9391[/C][C]9637.69295375016[/C][C]-1.59086868393733[/C][C]-149.163515351744[/C][C]-1.8604422888572[/C][/ROW]
[ROW][C]13[/C][C]9928[/C][C]9637.41187222991[/C][C]-1.60426193291932[/C][C]289.254987418917[/C][C]0.0260149919860225[/C][/ROW]
[ROW][C]14[/C][C]8686[/C][C]9512.15078296608[/C][C]-2.74673120644122[/C][C]-711.272211985808[/C][C]-2.25363551262075[/C][/ROW]
[ROW][C]15[/C][C]9843[/C][C]9480.75517045436[/C][C]-3.63596247128182[/C][C]385.267303044607[/C][C]-0.462318276941939[/C][/ROW]
[ROW][C]16[/C][C]9627[/C][C]9564.41286750561[/C][C]0.00957751216540936[/C][C]-2.50990306997642[/C][C]1.33385127925478[/C][/ROW]
[ROW][C]17[/C][C]10074[/C][C]9618.09523177698[/C][C]2.42031416270125[/C][C]416.181999851778[/C][C]0.820475973035134[/C][/ROW]
[ROW][C]18[/C][C]9503[/C][C]9674.46982388858[/C][C]4.79423649455665[/C][C]-212.39980955386[/C][C]0.84498422531384[/C][/ROW]
[ROW][C]19[/C][C]10119[/C][C]9757.75068470914[/C][C]8.0284058319498[/C][C]299.749255181382[/C][C]1.26458717103653[/C][/ROW]
[ROW][C]20[/C][C]10000[/C][C]9776.983428857[/C][C]8.45164619416362[/C][C]213.975754852543[/C][C]0.185034845671209[/C][/ROW]
[ROW][C]21[/C][C]9313[/C][C]9735.82466641731[/C][C]6.75206360717716[/C][C]-381.840686732188[/C][C]-0.835176475476305[/C][/ROW]
[ROW][C]22[/C][C]9866[/C][C]9714.22018743764[/C][C]5.88121313698302[/C][C]175.640542360895[/C][C]-0.484333680896719[/C][/ROW]
[ROW][C]23[/C][C]9172[/C][C]9649.20703742443[/C][C]3.98456163053305[/C][C]-416.624371180641[/C][C]-1.22503227333318[/C][/ROW]
[ROW][C]24[/C][C]9241[/C][C]9573.71409965828[/C][C]2.27537023339608[/C][C]-263.669671075536[/C][C]-1.39064402993251[/C][/ROW]
[ROW][C]25[/C][C]9659[/C][C]9496.16300026469[/C][C]1.21944327337263[/C][C]234.084037195928[/C][C]-1.43098377082246[/C][/ROW]
[ROW][C]26[/C][C]8904[/C][C]9499.93498907455[/C][C]1.25679793241658[/C][C]-598.180037725981[/C][C]0.0451388937589146[/C][/ROW]
[ROW][C]27[/C][C]9755[/C][C]9498.83950167251[/C][C]1.20966142568245[/C][C]258.152804252646[/C][C]-0.0402974019269631[/C][/ROW]
[ROW][C]28[/C][C]9080[/C][C]9435.53941465233[/C][C]-0.390435834856253[/C][C]-302.570434944149[/C][C]-1.07902179130819[/C][/ROW]
[ROW][C]29[/C][C]9435[/C][C]9351.06880281544[/C][C]-2.70515459544764[/C][C]152.082915926602[/C][C]-1.39507862206944[/C][/ROW]
[ROW][C]30[/C][C]8971[/C][C]9303.50735432502[/C][C]-3.97672844868263[/C][C]-296.067003114779[/C][C]-0.74733019709959[/C][/ROW]
[ROW][C]31[/C][C]10063[/C][C]9368.85890591538[/C][C]-2.05021470662306[/C][C]637.223699733531[/C][C]1.16682155995323[/C][/ROW]
[ROW][C]32[/C][C]9793[/C][C]9410.88892288593[/C][C]-0.888600953363107[/C][C]345.43689399188[/C][C]0.750586603173841[/C][/ROW]
[ROW][C]33[/C][C]9454[/C][C]9486.74838243272[/C][C]0.983051518066699[/C][C]-97.4389199042951[/C][C]1.32105777799457[/C][/ROW]
[ROW][C]34[/C][C]9759[/C][C]9506.12293248401[/C][C]1.38919826479489[/C][C]237.194861875622[/C][C]0.319493720007905[/C][/ROW]
[ROW][C]35[/C][C]8820[/C][C]9443.19020561205[/C][C]0.132586132832246[/C][C]-567.792667107166[/C][C]-1.12603262338811[/C][/ROW]
[ROW][C]36[/C][C]9403[/C][C]9449.79875341036[/C][C]0.241926445287493[/C][C]-52.4248469137237[/C][C]0.114127404744342[/C][/ROW]
[ROW][C]37[/C][C]9676[/C][C]9445.49910924667[/C][C]0.175378868295848[/C][C]234.471100842662[/C][C]-0.0804187492501687[/C][/ROW]
[ROW][C]38[/C][C]8642[/C][C]9397.08963495788[/C][C]-0.537261793161695[/C][C]-712.803521111743[/C][C]-0.856649329727968[/C][/ROW]
[ROW][C]39[/C][C]9402[/C][C]9317.94961650519[/C][C]-1.81649405158826[/C][C]151.625846212927[/C][C]-1.37155786701164[/C][/ROW]
[ROW][C]40[/C][C]9610[/C][C]9389.90992379789[/C][C]-0.472106984440279[/C][C]157.450783685988[/C][C]1.27479558514971[/C][/ROW]
[ROW][C]41[/C][C]9294[/C][C]9366.5976755109[/C][C]-0.922002001253986[/C][C]-53.3470509233858[/C][C]-0.392681963121858[/C][/ROW]
[ROW][C]42[/C][C]9448[/C][C]9447.52757505623[/C][C]0.748275351431317[/C][C]-68.4407955043222[/C][C]1.40751598527326[/C][/ROW]
[ROW][C]43[/C][C]10319[/C][C]9527.8893083204[/C][C]2.36959444479598[/C][C]723.838751731711[/C][C]1.37426350642387[/C][/ROW]
[ROW][C]44[/C][C]9548[/C][C]9504.34807658471[/C][C]1.85864990716056[/C][C]65.681841448501[/C][C]-0.449759209038647[/C][/ROW]
[ROW][C]45[/C][C]9801[/C][C]9567.87436336921[/C][C]3.00826966252699[/C][C]180.326161087633[/C][C]1.0767568840304[/C][/ROW]
[ROW][C]46[/C][C]9596[/C][C]9538.36323763312[/C][C]2.44576309237292[/C][C]85.6681706936266[/C][C]-0.570908964929139[/C][/ROW]
[ROW][C]47[/C][C]8923[/C][C]9520.47683859212[/C][C]2.12347644431355[/C][C]-579.847076077348[/C][C]-0.358599938178448[/C][/ROW]
[ROW][C]48[/C][C]9746[/C][C]9560.58806688745[/C][C]2.67477865681728[/C][C]152.323718614405[/C][C]0.67230061657582[/C][/ROW]
[ROW][C]49[/C][C]9829[/C][C]9569.92516584311[/C][C]2.76531317191823[/C][C]253.258950223402[/C][C]0.11808598313763[/C][/ROW]
[ROW][C]50[/C][C]9125[/C][C]9618.6019835597[/C][C]3.38254333061816[/C][C]-533.617138940142[/C][C]0.81244258277298[/C][/ROW]
[ROW][C]51[/C][C]9782[/C][C]9653.54180162399[/C][C]3.8231075229807[/C][C]101.080051028417[/C][C]0.556244343622627[/C][/ROW]
[ROW][C]52[/C][C]9441[/C][C]9605.93839729203[/C][C]3.06425138171583[/C][C]-120.554083123032[/C][C]-0.902742089593144[/C][/ROW]
[ROW][C]53[/C][C]9162[/C][C]9542.77469790481[/C][C]2.03984328876636[/C][C]-323.821454061617[/C][C]-1.15961104159205[/C][/ROW]
[ROW][C]54[/C][C]9915[/C][C]9618.54978266311[/C][C]3.21068070171257[/C][C]233.106159103214[/C][C]1.29062449101697[/C][/ROW]
[ROW][C]55[/C][C]10444[/C][C]9660.46053420236[/C][C]3.8265811928042[/C][C]750.247738288131[/C][C]0.678447264349995[/C][/ROW]
[ROW][C]56[/C][C]10209[/C][C]9770.54845796624[/C][C]5.4840252202296[/C][C]346.765777201981[/C][C]1.86798688651894[/C][/ROW]
[ROW][C]57[/C][C]9985[/C][C]9807.71094605079[/C][C]5.95935218960311[/C][C]149.852341004651[/C][C]0.558678299978241[/C][/ROW]
[ROW][C]58[/C][C]9842[/C][C]9814.53089847598[/C][C]5.97160700030412[/C][C]26.7208493827697[/C][C]0.0152254182581936[/C][/ROW]
[ROW][C]59[/C][C]9429[/C][C]9864.32643898375[/C][C]6.55997032583756[/C][C]-473.560074474551[/C][C]0.777416987260392[/C][/ROW]
[ROW][C]60[/C][C]10132[/C][C]9908.9503088627[/C][C]7.04341822729374[/C][C]189.757128023852[/C][C]0.676536325474431[/C][/ROW]
[ROW][C]61[/C][C]9849[/C][C]9878.1706791472[/C][C]6.58158398014778[/C][C]3.95022218208464[/C][C]-0.672786555237105[/C][/ROW]
[ROW][C]62[/C][C]9172[/C][C]9843.2448563743[/C][C]6.08112457388605[/C][C]-634.915330905876[/C][C]-0.737910792102219[/C][/ROW]
[ROW][C]63[/C][C]10313[/C][C]9895.00085758933[/C][C]6.63870974820283[/C][C]378.094101338212[/C][C]0.81073798797045[/C][/ROW]
[ROW][C]64[/C][C]9819[/C][C]9922.51975615393[/C][C]6.90020595362899[/C][C]-121.721876588064[/C][C]0.369976167906442[/C][/ROW]
[ROW][C]65[/C][C]9955[/C][C]10020.6211890151[/C][C]8.07158202231156[/C][C]-144.9915448286[/C][C]1.61406358379519[/C][/ROW]
[ROW][C]66[/C][C]10048[/C][C]10034.5701785354[/C][C]8.1482518408127[/C][C]8.31779780443919[/C][C]0.103993444073727[/C][/ROW]
[ROW][C]67[/C][C]10082[/C][C]9938.08998425454[/C][C]6.78158071403534[/C][C]234.969104490332[/C][C]-1.85263058338042[/C][/ROW]
[ROW][C]68[/C][C]10541[/C][C]9967.45718008655[/C][C]7.07262269928018[/C][C]553.855851726639[/C][C]0.400493887402841[/C][/ROW]
[ROW][C]69[/C][C]10208[/C][C]10000.5423022376[/C][C]7.39903568628965[/C][C]184.736193350491[/C][C]0.462091135842983[/C][/ROW]
[ROW][C]70[/C][C]10233[/C][C]10059.9636834188[/C][C]8.02887382699049[/C][C]127.494158051422[/C][C]0.925836298282215[/C][/ROW]
[ROW][C]71[/C][C]9439[/C][C]10058.5376322832[/C][C]7.91884785026243[/C][C]-611.24373201329[/C][C]-0.168539614730934[/C][/ROW]
[ROW][C]72[/C][C]9963[/C][C]10005.309185116[/C][C]7.23290830740684[/C][C]11.4106811846904[/C][C]-1.09125338363722[/C][/ROW]
[ROW][C]73[/C][C]10158[/C][C]10020.0617683029[/C][C]7.31503077794745[/C][C]131.326801413197[/C][C]0.134271915077142[/C][/ROW]
[ROW][C]74[/C][C]9225[/C][C]10011.8758273654[/C][C]7.14782371146831[/C][C]-773.247545628002[/C][C]-0.276757265209819[/C][/ROW]
[ROW][C]75[/C][C]10474[/C][C]10037.7083316447[/C][C]7.34968010704818[/C][C]419.875318024337[/C][C]0.333404356776622[/C][/ROW]
[ROW][C]76[/C][C]9757[/C][C]10032.3699429034[/C][C]7.21121225092964[/C][C]-264.232451821117[/C][C]-0.22623809203622[/C][/ROW]
[ROW][C]77[/C][C]10490[/C][C]10137.0729657582[/C][C]8.28768458147521[/C][C]267.412210589194[/C][C]1.73746145527392[/C][/ROW]
[ROW][C]78[/C][C]10281[/C][C]10183.3662055617[/C][C]8.71039535921439[/C][C]64.3053409577614[/C][C]0.677268853002839[/C][/ROW]
[ROW][C]79[/C][C]10444[/C][C]10213.9500600749[/C][C]8.95348089385353[/C][C]210.861561351031[/C][C]0.389951326228894[/C][/ROW]
[ROW][C]80[/C][C]10640[/C][C]10211.9893768686[/C][C]8.83341455057076[/C][C]437.593342369314[/C][C]-0.194730999462854[/C][/ROW]
[ROW][C]81[/C][C]10695[/C][C]10275.1165906549[/C][C]9.41964504642056[/C][C]372.155605611459[/C][C]0.969724485632124[/C][/ROW]
[ROW][C]82[/C][C]10786[/C][C]10361.4583352978[/C][C]10.2298890888745[/C][C]356.83278017632[/C][C]1.37539202532033[/C][/ROW]
[ROW][C]83[/C][C]9832[/C][C]10398.6338217599[/C][C]10.5060999787115[/C][C]-590.381141520782[/C][C]0.482272642606988[/C][/ROW]
[ROW][C]84[/C][C]9747[/C][C]10299.5495936414[/C][C]9.41086198397482[/C][C]-455.874773397148[/C][C]-1.96291110352657[/C][/ROW]
[ROW][C]85[/C][C]10411[/C][C]10274.116289844[/C][C]9.06938377642828[/C][C]167.63872416203[/C][C]-0.624366372086918[/C][/ROW]
[ROW][C]86[/C][C]9511[/C][C]10281.1602774362[/C][C]9.04975956020492[/C][C]-768.372313734235[/C][C]-0.0362956354382387[/C][/ROW]
[ROW][C]87[/C][C]10402[/C][C]10243.4534450045[/C][C]8.5982601952189[/C][C]199.814309165202[/C][C]-0.83774930337294[/C][/ROW]
[ROW][C]88[/C][C]9701[/C][C]10208.1893481815[/C][C]8.17382663793936[/C][C]-468.488994844134[/C][C]-0.785689474222034[/C][/ROW]
[ROW][C]89[/C][C]10540[/C][C]10223.0423532749[/C][C]8.23870112108038[/C][C]311.066120212966[/C][C]0.119620341428[/C][/ROW]
[ROW][C]90[/C][C]10112[/C][C]10206.4168108475[/C][C]7.99676019307195[/C][C]-72.4857471387194[/C][C]-0.44531665464275[/C][/ROW]
[ROW][C]91[/C][C]10915[/C][C]10299.5929712653[/C][C]8.82334343404294[/C][C]540.257095313714[/C][C]1.52597697001584[/C][/ROW]
[ROW][C]92[/C][C]11183[/C][C]10424.2504491688[/C][C]9.93801951362054[/C][C]656.499776433057[/C][C]2.076180348264[/C][/ROW]
[ROW][C]93[/C][C]10384[/C][C]10401.1523234705[/C][C]9.62445696794636[/C][C]12.0308648031794[/C][C]-0.592508781415176[/C][/ROW]
[ROW][C]94[/C][C]10834[/C][C]10406.046036687[/C][C]9.58034222545465[/C][C]432.136363537923[/C][C]-0.0849045956751697[/C][/ROW]
[ROW][C]95[/C][C]9886[/C][C]10402.5624056504[/C][C]9.46084992980563[/C][C]-505.003753479275[/C][C]-0.234612577246543[/C][/ROW]
[ROW][C]96[/C][C]10216[/C][C]10445.9938450265[/C][C]9.76592741603455[/C][C]-260.069090257593[/C][C]0.610375808034428[/C][/ROW]
[ROW][C]97[/C][C]10943[/C][C]10517.4070118514[/C][C]10.3113226049065[/C][C]370.991618664016[/C][C]1.10802558190322[/C][/ROW]
[ROW][C]98[/C][C]9867[/C][C]10555.5896063535[/C][C]10.5553829372802[/C][C]-713.280331755285[/C][C]0.50102236669347[/C][/ROW]
[ROW][C]99[/C][C]10203[/C][C]10470.2792299249[/C][C]9.72054115938625[/C][C]-182.351377958625[/C][C]-1.7233332678631[/C][/ROW]
[ROW][C]100[/C][C]10837[/C][C]10605.1722263671[/C][C]10.8083251956435[/C][C]120.944423198375[/C][C]2.25006595499293[/C][/ROW]
[ROW][C]101[/C][C]10573[/C][C]10597.1764989494[/C][C]10.6450326574102[/C][C]-7.51986149897775[/C][C]-0.338011583408604[/C][/ROW]
[ROW][C]102[/C][C]10647[/C][C]10645.4191174617[/C][C]10.9710200763756[/C][C]-31.72490846808[/C][C]0.675889712581302[/C][/ROW]
[ROW][C]103[/C][C]11502[/C][C]10738.7881678466[/C][C]11.6825610848401[/C][C]690.204484719751[/C][C]1.48157593139911[/C][/ROW]
[ROW][C]104[/C][C]10656[/C][C]10636.4960350829[/C][C]10.7056019501136[/C][C]120.525542573906[/C][C]-2.05002365791452[/C][/ROW]
[ROW][C]105[/C][C]10866[/C][C]10652.79012691[/C][C]10.752994080124[/C][C]208.2541676853[/C][C]0.100559816173543[/C][/ROW]
[ROW][C]106[/C][C]10835[/C][C]10622.5558009162[/C][C]10.4099700786923[/C][C]248.80962015873[/C][C]-0.737857861664562[/C][/ROW]
[ROW][C]107[/C][C]9945[/C][C]10599.9105361935[/C][C]10.1372616289601[/C][C]-625.567769958131[/C][C]-0.595314922119689[/C][/ROW]
[ROW][C]108[/C][C]10331[/C][C]10608.2064700594[/C][C]10.1222790700533[/C][C]-275.571228883744[/C][C]-0.0331735231892414[/C][/ROW]
[ROW][C]109[/C][C]10718[/C][C]10571.5979361874[/C][C]9.74654517323442[/C][C]187.916163628513[/C][C]-0.842125399060411[/C][/ROW]
[ROW][C]110[/C][C]9462[/C][C]10490.3654886409[/C][C]9.02171420809851[/C][C]-947.526173924811[/C][C]-1.63977854625795[/C][/ROW]
[ROW][C]111[/C][C]10579[/C][C]10539.8397169355[/C][C]9.34196462013269[/C][C]3.21241315609964[/C][C]0.729167686003758[/C][/ROW]
[ROW][C]112[/C][C]10633[/C][C]10554.190969136[/C][C]9.38145635723893[/C][C]74.3573259017388[/C][C]0.0902984124757674[/C][/ROW]
[ROW][C]113[/C][C]10346[/C][C]10534.3701427302[/C][C]9.15196624822527[/C][C]-162.416970276366[/C][C]-0.526438015753989[/C][/ROW]
[ROW][C]114[/C][C]10757[/C][C]10580.4894947028[/C][C]9.44146999357718[/C][C]143.652820722217[/C][C]0.666492982785892[/C][/ROW]
[ROW][C]115[/C][C]11207[/C][C]10565.7053601742[/C][C]9.2526670576031[/C][C]662.830941765236[/C][C]-0.43684408218088[/C][/ROW]
[ROW][C]116[/C][C]11013[/C][C]10618.8823539477[/C][C]9.59267335656032[/C][C]355.059154493694[/C][C]0.792246404374165[/C][/ROW]
[ROW][C]117[/C][C]11015[/C][C]10661.0322421916[/C][C]9.84247949491583[/C][C]325.007702839429[/C][C]0.587389970519702[/C][/ROW]
[ROW][C]118[/C][C]10765[/C][C]10643.5084945468[/C][C]9.63466842012172[/C][C]145.842849647458[/C][C]-0.493886508989055[/C][/ROW]
[ROW][C]119[/C][C]10042[/C][C]10640.4350826877[/C][C]9.53923290534719[/C][C]-587.123018334101[/C][C]-0.229414528484657[/C][/ROW]
[ROW][C]120[/C][C]10661[/C][C]10683.6478923083[/C][C]9.78937739075278[/C][C]-52.631830681397[/C][C]0.60805598875255[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265158&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265158&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
197699769000
293219728.34720705023.29357315009066-298.619751988713-1.78061035127156
399399734.451192495123.63050020900392202.8117218544030.0335895096464709
493369620.80251127874-10.1909920384091-226.271530367267-1.23850050313398
5101959739.384150883563.15153254391469382.3481563086781.52882426192829
694649706.3800002341-0.0443462111667374-218.442929989579-0.484884531935192
7100109765.021355364424.37278987500109201.6607594944640.857821210209701
8102139880.9150586327811.6219558178638243.7480216882051.72342082946518
995639853.934125950819.40822632601252-258.954095548224-0.617992064663058
1098909855.097017080778.981770637709441.9327373480825-0.135013202341897
1193059745.192782488663.32837838022365-336.905541884778-1.97572083613783
1293919637.69295375016-1.59086868393733-149.163515351744-1.8604422888572
1399289637.41187222991-1.60426193291932289.2549874189170.0260149919860225
1486869512.15078296608-2.74673120644122-711.272211985808-2.25363551262075
1598439480.75517045436-3.63596247128182385.267303044607-0.462318276941939
1696279564.412867505610.00957751216540936-2.509903069976421.33385127925478
17100749618.095231776982.42031416270125416.1819998517780.820475973035134
1895039674.469823888584.79423649455665-212.399809553860.84498422531384
19101199757.750684709148.0284058319498299.7492551813821.26458717103653
20100009776.9834288578.45164619416362213.9757548525430.185034845671209
2193139735.824666417316.75206360717716-381.840686732188-0.835176475476305
2298669714.220187437645.88121313698302175.640542360895-0.484333680896719
2391729649.207037424433.98456163053305-416.624371180641-1.22503227333318
2492419573.714099658282.27537023339608-263.669671075536-1.39064402993251
2596599496.163000264691.21944327337263234.084037195928-1.43098377082246
2689049499.934989074551.25679793241658-598.1800377259810.0451388937589146
2797559498.839501672511.20966142568245258.152804252646-0.0402974019269631
2890809435.53941465233-0.390435834856253-302.570434944149-1.07902179130819
2994359351.06880281544-2.70515459544764152.082915926602-1.39507862206944
3089719303.50735432502-3.97672844868263-296.067003114779-0.74733019709959
31100639368.85890591538-2.05021470662306637.2236997335311.16682155995323
3297939410.88892288593-0.888600953363107345.436893991880.750586603173841
3394549486.748382432720.983051518066699-97.43891990429511.32105777799457
3497599506.122932484011.38919826479489237.1948618756220.319493720007905
3588209443.190205612050.132586132832246-567.792667107166-1.12603262338811
3694039449.798753410360.241926445287493-52.42484691372370.114127404744342
3796769445.499109246670.175378868295848234.471100842662-0.0804187492501687
3886429397.08963495788-0.537261793161695-712.803521111743-0.856649329727968
3994029317.94961650519-1.81649405158826151.625846212927-1.37155786701164
4096109389.90992379789-0.472106984440279157.4507836859881.27479558514971
4192949366.5976755109-0.922002001253986-53.3470509233858-0.392681963121858
4294489447.527575056230.748275351431317-68.44079550432221.40751598527326
43103199527.88930832042.36959444479598723.8387517317111.37426350642387
4495489504.348076584711.8586499071605665.681841448501-0.449759209038647
4598019567.874363369213.00826966252699180.3261610876331.0767568840304
4695969538.363237633122.4457630923729285.6681706936266-0.570908964929139
4789239520.476838592122.12347644431355-579.847076077348-0.358599938178448
4897469560.588066887452.67477865681728152.3237186144050.67230061657582
4998299569.925165843112.76531317191823253.2589502234020.11808598313763
5091259618.60198355973.38254333061816-533.6171389401420.81244258277298
5197829653.541801623993.8231075229807101.0800510284170.556244343622627
5294419605.938397292033.06425138171583-120.554083123032-0.902742089593144
5391629542.774697904812.03984328876636-323.821454061617-1.15961104159205
5499159618.549782663113.21068070171257233.1061591032141.29062449101697
55104449660.460534202363.8265811928042750.2477382881310.678447264349995
56102099770.548457966245.4840252202296346.7657772019811.86798688651894
5799859807.710946050795.95935218960311149.8523410046510.558678299978241
5898429814.530898475985.9716070003041226.72084938276970.0152254182581936
5994299864.326438983756.55997032583756-473.5600744745510.777416987260392
60101329908.95030886277.04341822729374189.7571280238520.676536325474431
6198499878.17067914726.581583980147783.95022218208464-0.672786555237105
6291729843.24485637436.08112457388605-634.915330905876-0.737910792102219
63103139895.000857589336.63870974820283378.0941013382120.81073798797045
6498199922.519756153936.90020595362899-121.7218765880640.369976167906442
65995510020.62118901518.07158202231156-144.99154482861.61406358379519
661004810034.57017853548.14825184081278.317797804439190.103993444073727
67100829938.089984254546.78158071403534234.969104490332-1.85263058338042
68105419967.457180086557.07262269928018553.8558517266390.400493887402841
691020810000.54230223767.39903568628965184.7361933504910.462091135842983
701023310059.96368341888.02887382699049127.4941580514220.925836298282215
71943910058.53763228327.91884785026243-611.24373201329-0.168539614730934
72996310005.3091851167.2329083074068411.4106811846904-1.09125338363722
731015810020.06176830297.31503077794745131.3268014131970.134271915077142
74922510011.87582736547.14782371146831-773.247545628002-0.276757265209819
751047410037.70833164477.34968010704818419.8753180243370.333404356776622
76975710032.36994290347.21121225092964-264.232451821117-0.22623809203622
771049010137.07296575828.28768458147521267.4122105891941.73746145527392
781028110183.36620556178.7103953592143964.30534095776140.677268853002839
791044410213.95006007498.95348089385353210.8615613510310.389951326228894
801064010211.98937686868.83341455057076437.593342369314-0.194730999462854
811069510275.11659065499.41964504642056372.1556056114590.969724485632124
821078610361.458335297810.2298890888745356.832780176321.37539202532033
83983210398.633821759910.5060999787115-590.3811415207820.482272642606988
84974710299.54959364149.41086198397482-455.874773397148-1.96291110352657
851041110274.1162898449.06938377642828167.63872416203-0.624366372086918
86951110281.16027743629.04975956020492-768.372313734235-0.0362956354382387
871040210243.45344500458.5982601952189199.814309165202-0.83774930337294
88970110208.18934818158.17382663793936-468.488994844134-0.785689474222034
891054010223.04235327498.23870112108038311.0661202129660.119620341428
901011210206.41681084757.99676019307195-72.4857471387194-0.44531665464275
911091510299.59297126538.82334343404294540.2570953137141.52597697001584
921118310424.25044916889.93801951362054656.4997764330572.076180348264
931038410401.15232347059.6244569679463612.0308648031794-0.592508781415176
941083410406.0460366879.58034222545465432.136363537923-0.0849045956751697
95988610402.56240565049.46084992980563-505.003753479275-0.234612577246543
961021610445.99384502659.76592741603455-260.0690902575930.610375808034428
971094310517.407011851410.3113226049065370.9916186640161.10802558190322
98986710555.589606353510.5553829372802-713.2803317552850.50102236669347
991020310470.27922992499.72054115938625-182.351377958625-1.7233332678631
1001083710605.172226367110.8083251956435120.9444231983752.25006595499293
1011057310597.176498949410.6450326574102-7.51986149897775-0.338011583408604
1021064710645.419117461710.9710200763756-31.724908468080.675889712581302
1031150210738.788167846611.6825610848401690.2044847197511.48157593139911
1041065610636.496035082910.7056019501136120.525542573906-2.05002365791452
1051086610652.7901269110.752994080124208.25416768530.100559816173543
1061083510622.555800916210.4099700786923248.80962015873-0.737857861664562
107994510599.910536193510.1372616289601-625.567769958131-0.595314922119689
1081033110608.206470059410.1222790700533-275.571228883744-0.0331735231892414
1091071810571.59793618749.74654517323442187.916163628513-0.842125399060411
110946210490.36548864099.02171420809851-947.526173924811-1.63977854625795
1111057910539.83971693559.341964620132693.212413156099640.729167686003758
1121063310554.1909691369.3814563572389374.35732590173880.0902984124757674
1131034610534.37014273029.15196624822527-162.416970276366-0.526438015753989
1141075710580.48949470289.44146999357718143.6528207222170.666492982785892
1151120710565.70536017429.2526670576031662.830941765236-0.43684408218088
1161101310618.88235394779.59267335656032355.0591544936940.792246404374165
1171101510661.03224219169.84247949491583325.0077028394290.587389970519702
1181076510643.50849454689.63466842012172145.842849647458-0.493886508989055
1191004210640.43508268779.53923290534719-587.123018334101-0.229414528484657
1201066110683.64789230839.78937739075278-52.6318306813970.60805598875255



Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Interval/Ratio ;
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')