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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, 11 Dec 2013 11:09:58 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/11/t13867782295au3dtwj6ylknyg.htm/, Retrieved Thu, 18 Apr 2024 23:32:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232078, Retrieved Thu, 18 Apr 2024 23:32:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact104
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Structural Time Series Models] [] [2013-12-11 16:09:58] [76dc471c7f1ece9fc415ae5bc9df3cfa] [Current]
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Dataseries X:
112
118
132
129
121
135
148
148
136
119
104
118
115
126
141
135
125
149
170
170
158
133
114
140
145
150
178
163
172
178
199
199
184
162
146
166
171
180
193
181
183
218
230
242
209
191
172
194
196
196
236
235
229
243
264
272
237
211
180
201
204
188
235
227
234
264
302
293
259
229
203
229
242
233
267
269
270
315
364
347
312
274
237
278
284
277
317
313
318
374
413
405
355
306
271
306
315
301
356
348
355
422
465
467
404
347
305
336
340
318
362
348
363
435
491
505
404
359
310
337
360
342
406
396
420
472
548
559
463
407
362
405
417
391
419
461
472
535
622
606
508
461
390
432




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 6 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232078&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232078&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232078&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Structural Time Series Model
tObservedLevelSlopeSeasonalStand. Residuals
1112112000
2118116.6626608215614.773184726063271.33733917843880.424228080589289
3132130.36539453492911.08629382775841.634605465071390.529048172839721
4129132.2554035519154.19626407101081-3.25540355191513-0.555722284152489
5121123.494625866864-5.30231647071514-2.4946258668638-0.743105121970511
6135130.681795334463.821359431694714.318204665540270.720130207261748
7148145.9541465973912.21060833802172.045853402609860.661413909426483
8148150.7954621267846.80932764852561-2.79546212678442-0.425692682571414
9136139.990519893046-6.0992174360201-3.99051989304574-1.01743382680434
10119120.957802168652-15.5758533983402-1.95780216865166-0.746920875285472
11104103.451987856282-16.98990776505680.548012143717494-0.111451529073362
12118111.320725591031.224060824233676.67927440896961.43557125632817
13115116.0844086602343.81134595429571-1.084408660233730.204507669684527
14126126.6032928573748.73193667907727-0.6032928573737750.393842478299513
15141136.885429383049.826602645324384.114570616960280.0859104666090695
16135136.6235103420032.70264195852385-1.62351034200252-0.570082896849187
17125132.265781810979-2.30644456975704-7.26578181097928-0.39434193015766
18149144.775317853378.125930120348534.224682146629720.820765573065446
19170165.12343517223516.73441071753714.876564827764940.678999384615563
20170172.0740604653279.83368012884529-2.07406046532693-0.543950628812971
21158162.37491006727-3.9467962704638-4.37491006727028-1.08607978928653
22133137.89054282736-18.4354269393493-4.89054282736043-1.14202126554853
23114118.554401702219-19.0706502604712-4.55440170221903-0.050066712299741
24140126.410420900892-0.099165816866258413.58957909910811.49570948280912
25145144.55671444257612.75657256628320.4432855574237321.01622747971878
26150153.0598765546239.75587649234182-3.05987655462345-0.236842149856722
27178168.05458106969113.41224615173539.945418930308670.287576590958503
28163166.1793486022822.7649571503004-3.17934860228154-0.843937001962951
29172180.70190685387510.9918313864998-8.70190685387490.649400465261945
30178182.6632704826814.69351441031335-4.66327048268099-0.495508871887516
31199191.5727817539687.629133876712797.427218246032420.231380101975583
32199196.3071870611035.611372603248772.69281293889736-0.15907691873316
33184184.834370294829-6.30429131310988-0.83437029482917-0.939119925398477
34162167.362943256515-14.0929330858557-5.36294325651464-0.61390471786554
35146156.88380915304-11.5736794561493-10.88380915303960.198561374925912
36166155.255957048029-4.6447539203676810.74404295197140.54645417183672
37171165.8133902264075.953571684175445.186609773593350.836837153141881
38180181.91967145498413.0291193016346-1.919671454984350.557592800248038
39193182.2668199422574.2362938236130610.7331800577428-0.692294861860553
40181187.0904724839254.64303189409062-6.090472483924860.0321419705567838
41183190.4104732535763.72421743043436-7.41047325357594-0.0725304631179211
42218218.89963510122520.9062895816747-0.8996351012250751.35283025822064
43230227.04113600977912.06476096037032.95886399022066-0.696554779811684
44242234.3416122139518.763581858491817.6583877860493-0.260227648817721
45209213.332056190838-11.8793705389474-4.33205619083788-1.62704141202387
46191196.521087118938-15.2988638318339-5.52108711893847-0.269515336004292
47172184.659552789243-12.9163871097726-12.65955278924340.187794432121239
48194184.923152188848-3.782829175440749.076847811152260.720342364305486
49196191.2187418123513.205632795333534.781258187649040.551346850128949
50196193.5793662460962.620115232088722.42063375390382-0.0461304372091796
51236218.30713294092117.892639104556117.69286705907851.20301533212109
52235241.22949512212321.3648401336992-6.229495122123240.274070123724167
53229249.14232937630612.0615492519134-20.1423293763063-0.734159674804718
54243245.7060591566921.34448614457827-2.70605915669215-0.844275840962841
55264257.0652617146938.26126061881866.93473828530670.544865208892013
56272257.4232437139752.803422927205314.5767562860252-0.430158968535348
57237242.918319304712-9.15456152549526-5.91831930471216-0.94252767078822
58211219.71762076152-18.8597763943477-8.71762076151964-0.764957963507803
59180196.554401009181-21.8326826321169-16.5544010091808-0.234354663117982
60201189.552399906262-11.586514798606411.44760009373750.808018181120173
61204194.8947762363630.1139707327959159.105223763636950.922657388565045
62188193.968010550871-0.604799774382567-5.96801055087145-0.0566276492552166
63235213.76982396370813.46101744587221.23017603629161.10820945417509
64227229.31824516736314.8991853312634-2.318245167363220.113458528874094
65234249.22776595241818.3554249509978-15.22776595241840.272673301937377
66264270.88271043861620.6319761742286-6.882710438616340.179400027127681
67302293.37361225245321.91345460993788.626387747546950.100953058079707
68293281.873203057613-1.1123287968646611.1267969423874-1.8145503179311
69259262.838544168342-13.465023957487-3.83854416834158-0.973630073337671
70229237.991720251486-21.3106164393694-8.99172025148647-0.618420449300077
71203221.8125435885-17.7735211164793-18.81254358850010.278850500589937
72229217.879015576414-8.2316571093210611.12098442358570.752400013366669
73242227.4849780282114.0691603707231714.51502197178910.969739555747818
74233242.25076061891211.4403322765258-9.250760618911750.580745780557883
75267248.0626398453327.5670764073015218.9373601546676-0.305200379906968
76269270.03104273399517.474567723041-1.031042733995040.781397722162539
77270289.24435886542718.6718154401739-19.24435886542710.0944370630298585
78315320.69100757152127.4708748973778-5.691007571520950.693514252549154
79364346.45823183746126.298147596475417.5417681625395-0.0923937531650861
80347338.3995531783992.659738032494218.60044682160138-1.86269975663523
81312316.241246400859-14.4152518514341-4.24124640085918-1.34581032837942
82274286.808837967852-24.7480944351487-12.8088379678521-0.814522101537233
83237259.835952976091-26.279074203799-22.8359529760909-0.120702724951921
84278264.010296366869-5.3172968494618913.98970363313071.65275197294142
85284269.6683718827182.2380941969751714.33162811728220.595542825028535
86277281.2219025893928.64661793758983-4.22190258939150.504919152546176
87317299.73371667149715.426294362068217.26628332850270.534254330358329
88313316.16495234122516.1167835142493-3.16495234122530.0544499238522542
89318341.78780716039722.6527975441136-23.78780716039690.515484782234424
90374378.08121915194632.0346750925082-4.081219151945830.739517395242578
91413390.98170942446518.88014359746522.0182905755352-1.03646643977238
92405391.7169602686796.4123124929061313.2830397313208-0.982429980061358
93355361.647517373301-18.6508163751807-6.64751737330131-1.97537640845858
94306321.631710801432-33.3296004307869-15.6317108014323-1.15715372929342
95271299.208980577475-25.834602586638-28.20898057747480.590926044463543
96306290.6476400993-13.961499620776115.35235990069970.936088868751523
97315297.7002651935640.48326735056571417.29973480643611.13849103201549
98301305.7669962305025.69289595064963-4.766996230502390.410472453128856
99356333.32214274773420.699353898888622.67785725226611.18259469052875
100348356.38350113662922.3204228813604-8.383501136628550.127820308768355
101355384.08800936717826.0176014460374-29.08800936717760.291563757510274
102422420.36272611456233.0633149085811.637273885438120.555397474433481
103465441.58241282955624.930468438173123.4175871704442-0.640839917426039
104467445.92330439837510.799392627485121.0766956016246-1.11347790998417
105404413.091335036326-19.1376680205573-9.09133503632557-2.35948278732154
106347369.497689718341-35.9184616591437-22.4976897183413-1.32289016439064
107305336.359425174038-34.0103336313414-31.35942517403810.150444292023204
108336321.23432802967-21.045329589872614.76567197033031.02212992151571
109340319.887574821762-7.522379861059420.11242517823751.06578525219994
110318325.7850992338651.68521515820989-7.785099233864980.725496516247102
111362337.5925402572998.6255539569408524.40745974270080.546953655566806
112348357.24023279269116.1821125053579-9.240232792691230.595791718233226
113363393.31081145284429.8234819664633-30.31081145284441.07570036819642
114435431.33850862654235.45243424236373.66149137345790.443727055706571
115491463.21577378201433.00011274747327.7842262179865-0.193243460379379
116505474.71642034346918.260507554219230.283579656531-1.16143089403317
117404421.551172783765-30.6918024904115-17.5511727837652-3.85812343997087
118359381.045710726703-37.4178156584947-22.0457107267033-0.530240883873939
119310346.097528528386-35.7247517140631-36.09752852838620.133488091936894
120337323.990934430306-26.386318684837913.00906556969430.736195548704794
121360333.613484669217-1.6953686431274626.38651533078311.94591942555336
122342348.3404606878359.55953749051953-6.340460687834610.886832355942534
123406379.53557387493224.378830611663526.4644261250681.1678998986474
124396411.7350823112729.7351664396024-15.73508231126980.422297286666424
125420453.44029192659537.9365984530822-33.44029192659460.646695249715905
126472475.7818538539627.2483815119764-3.78185385396044-0.842552140673967
127548510.95589753950132.67921771772437.04410246049890.42796606531267
128559513.66329237106612.151851088166945.3367076289339-1.6175024045829
129463484.876511573787-15.8768940531275-21.8765115737865-2.20904077175419
130407434.84068553353-39.2640001784067-27.8406855335304-1.84370688987468
131362399.140217951318-36.8235519792614-37.1402179513180.192413575460066
132405394.181741755857-14.99557897946510.8182582441431.72076561965127
133417392.714811934304-5.7290271205827424.28518806569580.730297450138768
134391400.3771844961773.43918809364231-9.377184496177310.72242699310028
135419397.703335541408-0.74393632792983221.2966644585917-0.329674096296451
136461463.86396192235545.035590623403-2.863961922355163.60916432253025
137472506.97375474392443.7174072160339-34.9737547439239-0.10393615885983
138535544.91609260755939.7633948458192-9.91609260755864-0.311694502207231
139622578.09508114217135.256003956456343.9049188578288-0.355205223827253
140606560.043257261541-1.2195635348944145.9567427384587-2.87421693352428
141508524.076188746647-24.9870482615504-16.0761887466473-1.87319020483904
142461490.500755250127-30.8615145228219-29.5007552501273-0.463106513569241
143390441.011228304505-43.6064614411701-51.0112283045047-1.00484343815644
144432417.850759786557-29.614350956389414.14924021344271.10301869014763

\begin{tabular}{lllllllll}
\hline
Structural Time Series Model \tabularnewline
t & Observed & Level & Slope & Seasonal & Stand. Residuals \tabularnewline
1 & 112 & 112 & 0 & 0 & 0 \tabularnewline
2 & 118 & 116.662660821561 & 4.77318472606327 & 1.3373391784388 & 0.424228080589289 \tabularnewline
3 & 132 & 130.365394534929 & 11.0862938277584 & 1.63460546507139 & 0.529048172839721 \tabularnewline
4 & 129 & 132.255403551915 & 4.19626407101081 & -3.25540355191513 & -0.555722284152489 \tabularnewline
5 & 121 & 123.494625866864 & -5.30231647071514 & -2.4946258668638 & -0.743105121970511 \tabularnewline
6 & 135 & 130.68179533446 & 3.82135943169471 & 4.31820466554027 & 0.720130207261748 \tabularnewline
7 & 148 & 145.95414659739 & 12.2106083380217 & 2.04585340260986 & 0.661413909426483 \tabularnewline
8 & 148 & 150.795462126784 & 6.80932764852561 & -2.79546212678442 & -0.425692682571414 \tabularnewline
9 & 136 & 139.990519893046 & -6.0992174360201 & -3.99051989304574 & -1.01743382680434 \tabularnewline
10 & 119 & 120.957802168652 & -15.5758533983402 & -1.95780216865166 & -0.746920875285472 \tabularnewline
11 & 104 & 103.451987856282 & -16.9899077650568 & 0.548012143717494 & -0.111451529073362 \tabularnewline
12 & 118 & 111.32072559103 & 1.22406082423367 & 6.6792744089696 & 1.43557125632817 \tabularnewline
13 & 115 & 116.084408660234 & 3.81134595429571 & -1.08440866023373 & 0.204507669684527 \tabularnewline
14 & 126 & 126.603292857374 & 8.73193667907727 & -0.603292857373775 & 0.393842478299513 \tabularnewline
15 & 141 & 136.88542938304 & 9.82660264532438 & 4.11457061696028 & 0.0859104666090695 \tabularnewline
16 & 135 & 136.623510342003 & 2.70264195852385 & -1.62351034200252 & -0.570082896849187 \tabularnewline
17 & 125 & 132.265781810979 & -2.30644456975704 & -7.26578181097928 & -0.39434193015766 \tabularnewline
18 & 149 & 144.77531785337 & 8.12593012034853 & 4.22468214662972 & 0.820765573065446 \tabularnewline
19 & 170 & 165.123435172235 & 16.7344107175371 & 4.87656482776494 & 0.678999384615563 \tabularnewline
20 & 170 & 172.074060465327 & 9.83368012884529 & -2.07406046532693 & -0.543950628812971 \tabularnewline
21 & 158 & 162.37491006727 & -3.9467962704638 & -4.37491006727028 & -1.08607978928653 \tabularnewline
22 & 133 & 137.89054282736 & -18.4354269393493 & -4.89054282736043 & -1.14202126554853 \tabularnewline
23 & 114 & 118.554401702219 & -19.0706502604712 & -4.55440170221903 & -0.050066712299741 \tabularnewline
24 & 140 & 126.410420900892 & -0.0991658168662584 & 13.5895790991081 & 1.49570948280912 \tabularnewline
25 & 145 & 144.556714442576 & 12.7565725662832 & 0.443285557423732 & 1.01622747971878 \tabularnewline
26 & 150 & 153.059876554623 & 9.75587649234182 & -3.05987655462345 & -0.236842149856722 \tabularnewline
27 & 178 & 168.054581069691 & 13.4122461517353 & 9.94541893030867 & 0.287576590958503 \tabularnewline
28 & 163 & 166.179348602282 & 2.7649571503004 & -3.17934860228154 & -0.843937001962951 \tabularnewline
29 & 172 & 180.701906853875 & 10.9918313864998 & -8.7019068538749 & 0.649400465261945 \tabularnewline
30 & 178 & 182.663270482681 & 4.69351441031335 & -4.66327048268099 & -0.495508871887516 \tabularnewline
31 & 199 & 191.572781753968 & 7.62913387671279 & 7.42721824603242 & 0.231380101975583 \tabularnewline
32 & 199 & 196.307187061103 & 5.61137260324877 & 2.69281293889736 & -0.15907691873316 \tabularnewline
33 & 184 & 184.834370294829 & -6.30429131310988 & -0.83437029482917 & -0.939119925398477 \tabularnewline
34 & 162 & 167.362943256515 & -14.0929330858557 & -5.36294325651464 & -0.61390471786554 \tabularnewline
35 & 146 & 156.88380915304 & -11.5736794561493 & -10.8838091530396 & 0.198561374925912 \tabularnewline
36 & 166 & 155.255957048029 & -4.64475392036768 & 10.7440429519714 & 0.54645417183672 \tabularnewline
37 & 171 & 165.813390226407 & 5.95357168417544 & 5.18660977359335 & 0.836837153141881 \tabularnewline
38 & 180 & 181.919671454984 & 13.0291193016346 & -1.91967145498435 & 0.557592800248038 \tabularnewline
39 & 193 & 182.266819942257 & 4.23629382361306 & 10.7331800577428 & -0.692294861860553 \tabularnewline
40 & 181 & 187.090472483925 & 4.64303189409062 & -6.09047248392486 & 0.0321419705567838 \tabularnewline
41 & 183 & 190.410473253576 & 3.72421743043436 & -7.41047325357594 & -0.0725304631179211 \tabularnewline
42 & 218 & 218.899635101225 & 20.9062895816747 & -0.899635101225075 & 1.35283025822064 \tabularnewline
43 & 230 & 227.041136009779 & 12.0647609603703 & 2.95886399022066 & -0.696554779811684 \tabularnewline
44 & 242 & 234.341612213951 & 8.76358185849181 & 7.6583877860493 & -0.260227648817721 \tabularnewline
45 & 209 & 213.332056190838 & -11.8793705389474 & -4.33205619083788 & -1.62704141202387 \tabularnewline
46 & 191 & 196.521087118938 & -15.2988638318339 & -5.52108711893847 & -0.269515336004292 \tabularnewline
47 & 172 & 184.659552789243 & -12.9163871097726 & -12.6595527892434 & 0.187794432121239 \tabularnewline
48 & 194 & 184.923152188848 & -3.78282917544074 & 9.07684781115226 & 0.720342364305486 \tabularnewline
49 & 196 & 191.218741812351 & 3.20563279533353 & 4.78125818764904 & 0.551346850128949 \tabularnewline
50 & 196 & 193.579366246096 & 2.62011523208872 & 2.42063375390382 & -0.0461304372091796 \tabularnewline
51 & 236 & 218.307132940921 & 17.8926391045561 & 17.6928670590785 & 1.20301533212109 \tabularnewline
52 & 235 & 241.229495122123 & 21.3648401336992 & -6.22949512212324 & 0.274070123724167 \tabularnewline
53 & 229 & 249.142329376306 & 12.0615492519134 & -20.1423293763063 & -0.734159674804718 \tabularnewline
54 & 243 & 245.706059156692 & 1.34448614457827 & -2.70605915669215 & -0.844275840962841 \tabularnewline
55 & 264 & 257.065261714693 & 8.2612606188186 & 6.9347382853067 & 0.544865208892013 \tabularnewline
56 & 272 & 257.423243713975 & 2.8034229272053 & 14.5767562860252 & -0.430158968535348 \tabularnewline
57 & 237 & 242.918319304712 & -9.15456152549526 & -5.91831930471216 & -0.94252767078822 \tabularnewline
58 & 211 & 219.71762076152 & -18.8597763943477 & -8.71762076151964 & -0.764957963507803 \tabularnewline
59 & 180 & 196.554401009181 & -21.8326826321169 & -16.5544010091808 & -0.234354663117982 \tabularnewline
60 & 201 & 189.552399906262 & -11.5865147986064 & 11.4476000937375 & 0.808018181120173 \tabularnewline
61 & 204 & 194.894776236363 & 0.113970732795915 & 9.10522376363695 & 0.922657388565045 \tabularnewline
62 & 188 & 193.968010550871 & -0.604799774382567 & -5.96801055087145 & -0.0566276492552166 \tabularnewline
63 & 235 & 213.769823963708 & 13.461017445872 & 21.2301760362916 & 1.10820945417509 \tabularnewline
64 & 227 & 229.318245167363 & 14.8991853312634 & -2.31824516736322 & 0.113458528874094 \tabularnewline
65 & 234 & 249.227765952418 & 18.3554249509978 & -15.2277659524184 & 0.272673301937377 \tabularnewline
66 & 264 & 270.882710438616 & 20.6319761742286 & -6.88271043861634 & 0.179400027127681 \tabularnewline
67 & 302 & 293.373612252453 & 21.9134546099378 & 8.62638774754695 & 0.100953058079707 \tabularnewline
68 & 293 & 281.873203057613 & -1.11232879686466 & 11.1267969423874 & -1.8145503179311 \tabularnewline
69 & 259 & 262.838544168342 & -13.465023957487 & -3.83854416834158 & -0.973630073337671 \tabularnewline
70 & 229 & 237.991720251486 & -21.3106164393694 & -8.99172025148647 & -0.618420449300077 \tabularnewline
71 & 203 & 221.8125435885 & -17.7735211164793 & -18.8125435885001 & 0.278850500589937 \tabularnewline
72 & 229 & 217.879015576414 & -8.23165710932106 & 11.1209844235857 & 0.752400013366669 \tabularnewline
73 & 242 & 227.484978028211 & 4.06916037072317 & 14.5150219717891 & 0.969739555747818 \tabularnewline
74 & 233 & 242.250760618912 & 11.4403322765258 & -9.25076061891175 & 0.580745780557883 \tabularnewline
75 & 267 & 248.062639845332 & 7.56707640730152 & 18.9373601546676 & -0.305200379906968 \tabularnewline
76 & 269 & 270.031042733995 & 17.474567723041 & -1.03104273399504 & 0.781397722162539 \tabularnewline
77 & 270 & 289.244358865427 & 18.6718154401739 & -19.2443588654271 & 0.0944370630298585 \tabularnewline
78 & 315 & 320.691007571521 & 27.4708748973778 & -5.69100757152095 & 0.693514252549154 \tabularnewline
79 & 364 & 346.458231837461 & 26.2981475964754 & 17.5417681625395 & -0.0923937531650861 \tabularnewline
80 & 347 & 338.399553178399 & 2.65973803249421 & 8.60044682160138 & -1.86269975663523 \tabularnewline
81 & 312 & 316.241246400859 & -14.4152518514341 & -4.24124640085918 & -1.34581032837942 \tabularnewline
82 & 274 & 286.808837967852 & -24.7480944351487 & -12.8088379678521 & -0.814522101537233 \tabularnewline
83 & 237 & 259.835952976091 & -26.279074203799 & -22.8359529760909 & -0.120702724951921 \tabularnewline
84 & 278 & 264.010296366869 & -5.31729684946189 & 13.9897036331307 & 1.65275197294142 \tabularnewline
85 & 284 & 269.668371882718 & 2.23809419697517 & 14.3316281172822 & 0.595542825028535 \tabularnewline
86 & 277 & 281.221902589392 & 8.64661793758983 & -4.2219025893915 & 0.504919152546176 \tabularnewline
87 & 317 & 299.733716671497 & 15.4262943620682 & 17.2662833285027 & 0.534254330358329 \tabularnewline
88 & 313 & 316.164952341225 & 16.1167835142493 & -3.1649523412253 & 0.0544499238522542 \tabularnewline
89 & 318 & 341.787807160397 & 22.6527975441136 & -23.7878071603969 & 0.515484782234424 \tabularnewline
90 & 374 & 378.081219151946 & 32.0346750925082 & -4.08121915194583 & 0.739517395242578 \tabularnewline
91 & 413 & 390.981709424465 & 18.880143597465 & 22.0182905755352 & -1.03646643977238 \tabularnewline
92 & 405 & 391.716960268679 & 6.41231249290613 & 13.2830397313208 & -0.982429980061358 \tabularnewline
93 & 355 & 361.647517373301 & -18.6508163751807 & -6.64751737330131 & -1.97537640845858 \tabularnewline
94 & 306 & 321.631710801432 & -33.3296004307869 & -15.6317108014323 & -1.15715372929342 \tabularnewline
95 & 271 & 299.208980577475 & -25.834602586638 & -28.2089805774748 & 0.590926044463543 \tabularnewline
96 & 306 & 290.6476400993 & -13.9614996207761 & 15.3523599006997 & 0.936088868751523 \tabularnewline
97 & 315 & 297.700265193564 & 0.483267350565714 & 17.2997348064361 & 1.13849103201549 \tabularnewline
98 & 301 & 305.766996230502 & 5.69289595064963 & -4.76699623050239 & 0.410472453128856 \tabularnewline
99 & 356 & 333.322142747734 & 20.6993538988886 & 22.6778572522661 & 1.18259469052875 \tabularnewline
100 & 348 & 356.383501136629 & 22.3204228813604 & -8.38350113662855 & 0.127820308768355 \tabularnewline
101 & 355 & 384.088009367178 & 26.0176014460374 & -29.0880093671776 & 0.291563757510274 \tabularnewline
102 & 422 & 420.362726114562 & 33.063314908581 & 1.63727388543812 & 0.555397474433481 \tabularnewline
103 & 465 & 441.582412829556 & 24.9304684381731 & 23.4175871704442 & -0.640839917426039 \tabularnewline
104 & 467 & 445.923304398375 & 10.7993926274851 & 21.0766956016246 & -1.11347790998417 \tabularnewline
105 & 404 & 413.091335036326 & -19.1376680205573 & -9.09133503632557 & -2.35948278732154 \tabularnewline
106 & 347 & 369.497689718341 & -35.9184616591437 & -22.4976897183413 & -1.32289016439064 \tabularnewline
107 & 305 & 336.359425174038 & -34.0103336313414 & -31.3594251740381 & 0.150444292023204 \tabularnewline
108 & 336 & 321.23432802967 & -21.0453295898726 & 14.7656719703303 & 1.02212992151571 \tabularnewline
109 & 340 & 319.887574821762 & -7.5223798610594 & 20.1124251782375 & 1.06578525219994 \tabularnewline
110 & 318 & 325.785099233865 & 1.68521515820989 & -7.78509923386498 & 0.725496516247102 \tabularnewline
111 & 362 & 337.592540257299 & 8.62555395694085 & 24.4074597427008 & 0.546953655566806 \tabularnewline
112 & 348 & 357.240232792691 & 16.1821125053579 & -9.24023279269123 & 0.595791718233226 \tabularnewline
113 & 363 & 393.310811452844 & 29.8234819664633 & -30.3108114528444 & 1.07570036819642 \tabularnewline
114 & 435 & 431.338508626542 & 35.4524342423637 & 3.6614913734579 & 0.443727055706571 \tabularnewline
115 & 491 & 463.215773782014 & 33.000112747473 & 27.7842262179865 & -0.193243460379379 \tabularnewline
116 & 505 & 474.716420343469 & 18.2605075542192 & 30.283579656531 & -1.16143089403317 \tabularnewline
117 & 404 & 421.551172783765 & -30.6918024904115 & -17.5511727837652 & -3.85812343997087 \tabularnewline
118 & 359 & 381.045710726703 & -37.4178156584947 & -22.0457107267033 & -0.530240883873939 \tabularnewline
119 & 310 & 346.097528528386 & -35.7247517140631 & -36.0975285283862 & 0.133488091936894 \tabularnewline
120 & 337 & 323.990934430306 & -26.3863186848379 & 13.0090655696943 & 0.736195548704794 \tabularnewline
121 & 360 & 333.613484669217 & -1.69536864312746 & 26.3865153307831 & 1.94591942555336 \tabularnewline
122 & 342 & 348.340460687835 & 9.55953749051953 & -6.34046068783461 & 0.886832355942534 \tabularnewline
123 & 406 & 379.535573874932 & 24.3788306116635 & 26.464426125068 & 1.1678998986474 \tabularnewline
124 & 396 & 411.73508231127 & 29.7351664396024 & -15.7350823112698 & 0.422297286666424 \tabularnewline
125 & 420 & 453.440291926595 & 37.9365984530822 & -33.4402919265946 & 0.646695249715905 \tabularnewline
126 & 472 & 475.78185385396 & 27.2483815119764 & -3.78185385396044 & -0.842552140673967 \tabularnewline
127 & 548 & 510.955897539501 & 32.679217717724 & 37.0441024604989 & 0.42796606531267 \tabularnewline
128 & 559 & 513.663292371066 & 12.1518510881669 & 45.3367076289339 & -1.6175024045829 \tabularnewline
129 & 463 & 484.876511573787 & -15.8768940531275 & -21.8765115737865 & -2.20904077175419 \tabularnewline
130 & 407 & 434.84068553353 & -39.2640001784067 & -27.8406855335304 & -1.84370688987468 \tabularnewline
131 & 362 & 399.140217951318 & -36.8235519792614 & -37.140217951318 & 0.192413575460066 \tabularnewline
132 & 405 & 394.181741755857 & -14.995578979465 & 10.818258244143 & 1.72076561965127 \tabularnewline
133 & 417 & 392.714811934304 & -5.72902712058274 & 24.2851880656958 & 0.730297450138768 \tabularnewline
134 & 391 & 400.377184496177 & 3.43918809364231 & -9.37718449617731 & 0.72242699310028 \tabularnewline
135 & 419 & 397.703335541408 & -0.743936327929832 & 21.2966644585917 & -0.329674096296451 \tabularnewline
136 & 461 & 463.863961922355 & 45.035590623403 & -2.86396192235516 & 3.60916432253025 \tabularnewline
137 & 472 & 506.973754743924 & 43.7174072160339 & -34.9737547439239 & -0.10393615885983 \tabularnewline
138 & 535 & 544.916092607559 & 39.7633948458192 & -9.91609260755864 & -0.311694502207231 \tabularnewline
139 & 622 & 578.095081142171 & 35.2560039564563 & 43.9049188578288 & -0.355205223827253 \tabularnewline
140 & 606 & 560.043257261541 & -1.21956353489441 & 45.9567427384587 & -2.87421693352428 \tabularnewline
141 & 508 & 524.076188746647 & -24.9870482615504 & -16.0761887466473 & -1.87319020483904 \tabularnewline
142 & 461 & 490.500755250127 & -30.8615145228219 & -29.5007552501273 & -0.463106513569241 \tabularnewline
143 & 390 & 441.011228304505 & -43.6064614411701 & -51.0112283045047 & -1.00484343815644 \tabularnewline
144 & 432 & 417.850759786557 & -29.6143509563894 & 14.1492402134427 & 1.10301869014763 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232078&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]112[/C][C]112[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]118[/C][C]116.662660821561[/C][C]4.77318472606327[/C][C]1.3373391784388[/C][C]0.424228080589289[/C][/ROW]
[ROW][C]3[/C][C]132[/C][C]130.365394534929[/C][C]11.0862938277584[/C][C]1.63460546507139[/C][C]0.529048172839721[/C][/ROW]
[ROW][C]4[/C][C]129[/C][C]132.255403551915[/C][C]4.19626407101081[/C][C]-3.25540355191513[/C][C]-0.555722284152489[/C][/ROW]
[ROW][C]5[/C][C]121[/C][C]123.494625866864[/C][C]-5.30231647071514[/C][C]-2.4946258668638[/C][C]-0.743105121970511[/C][/ROW]
[ROW][C]6[/C][C]135[/C][C]130.68179533446[/C][C]3.82135943169471[/C][C]4.31820466554027[/C][C]0.720130207261748[/C][/ROW]
[ROW][C]7[/C][C]148[/C][C]145.95414659739[/C][C]12.2106083380217[/C][C]2.04585340260986[/C][C]0.661413909426483[/C][/ROW]
[ROW][C]8[/C][C]148[/C][C]150.795462126784[/C][C]6.80932764852561[/C][C]-2.79546212678442[/C][C]-0.425692682571414[/C][/ROW]
[ROW][C]9[/C][C]136[/C][C]139.990519893046[/C][C]-6.0992174360201[/C][C]-3.99051989304574[/C][C]-1.01743382680434[/C][/ROW]
[ROW][C]10[/C][C]119[/C][C]120.957802168652[/C][C]-15.5758533983402[/C][C]-1.95780216865166[/C][C]-0.746920875285472[/C][/ROW]
[ROW][C]11[/C][C]104[/C][C]103.451987856282[/C][C]-16.9899077650568[/C][C]0.548012143717494[/C][C]-0.111451529073362[/C][/ROW]
[ROW][C]12[/C][C]118[/C][C]111.32072559103[/C][C]1.22406082423367[/C][C]6.6792744089696[/C][C]1.43557125632817[/C][/ROW]
[ROW][C]13[/C][C]115[/C][C]116.084408660234[/C][C]3.81134595429571[/C][C]-1.08440866023373[/C][C]0.204507669684527[/C][/ROW]
[ROW][C]14[/C][C]126[/C][C]126.603292857374[/C][C]8.73193667907727[/C][C]-0.603292857373775[/C][C]0.393842478299513[/C][/ROW]
[ROW][C]15[/C][C]141[/C][C]136.88542938304[/C][C]9.82660264532438[/C][C]4.11457061696028[/C][C]0.0859104666090695[/C][/ROW]
[ROW][C]16[/C][C]135[/C][C]136.623510342003[/C][C]2.70264195852385[/C][C]-1.62351034200252[/C][C]-0.570082896849187[/C][/ROW]
[ROW][C]17[/C][C]125[/C][C]132.265781810979[/C][C]-2.30644456975704[/C][C]-7.26578181097928[/C][C]-0.39434193015766[/C][/ROW]
[ROW][C]18[/C][C]149[/C][C]144.77531785337[/C][C]8.12593012034853[/C][C]4.22468214662972[/C][C]0.820765573065446[/C][/ROW]
[ROW][C]19[/C][C]170[/C][C]165.123435172235[/C][C]16.7344107175371[/C][C]4.87656482776494[/C][C]0.678999384615563[/C][/ROW]
[ROW][C]20[/C][C]170[/C][C]172.074060465327[/C][C]9.83368012884529[/C][C]-2.07406046532693[/C][C]-0.543950628812971[/C][/ROW]
[ROW][C]21[/C][C]158[/C][C]162.37491006727[/C][C]-3.9467962704638[/C][C]-4.37491006727028[/C][C]-1.08607978928653[/C][/ROW]
[ROW][C]22[/C][C]133[/C][C]137.89054282736[/C][C]-18.4354269393493[/C][C]-4.89054282736043[/C][C]-1.14202126554853[/C][/ROW]
[ROW][C]23[/C][C]114[/C][C]118.554401702219[/C][C]-19.0706502604712[/C][C]-4.55440170221903[/C][C]-0.050066712299741[/C][/ROW]
[ROW][C]24[/C][C]140[/C][C]126.410420900892[/C][C]-0.0991658168662584[/C][C]13.5895790991081[/C][C]1.49570948280912[/C][/ROW]
[ROW][C]25[/C][C]145[/C][C]144.556714442576[/C][C]12.7565725662832[/C][C]0.443285557423732[/C][C]1.01622747971878[/C][/ROW]
[ROW][C]26[/C][C]150[/C][C]153.059876554623[/C][C]9.75587649234182[/C][C]-3.05987655462345[/C][C]-0.236842149856722[/C][/ROW]
[ROW][C]27[/C][C]178[/C][C]168.054581069691[/C][C]13.4122461517353[/C][C]9.94541893030867[/C][C]0.287576590958503[/C][/ROW]
[ROW][C]28[/C][C]163[/C][C]166.179348602282[/C][C]2.7649571503004[/C][C]-3.17934860228154[/C][C]-0.843937001962951[/C][/ROW]
[ROW][C]29[/C][C]172[/C][C]180.701906853875[/C][C]10.9918313864998[/C][C]-8.7019068538749[/C][C]0.649400465261945[/C][/ROW]
[ROW][C]30[/C][C]178[/C][C]182.663270482681[/C][C]4.69351441031335[/C][C]-4.66327048268099[/C][C]-0.495508871887516[/C][/ROW]
[ROW][C]31[/C][C]199[/C][C]191.572781753968[/C][C]7.62913387671279[/C][C]7.42721824603242[/C][C]0.231380101975583[/C][/ROW]
[ROW][C]32[/C][C]199[/C][C]196.307187061103[/C][C]5.61137260324877[/C][C]2.69281293889736[/C][C]-0.15907691873316[/C][/ROW]
[ROW][C]33[/C][C]184[/C][C]184.834370294829[/C][C]-6.30429131310988[/C][C]-0.83437029482917[/C][C]-0.939119925398477[/C][/ROW]
[ROW][C]34[/C][C]162[/C][C]167.362943256515[/C][C]-14.0929330858557[/C][C]-5.36294325651464[/C][C]-0.61390471786554[/C][/ROW]
[ROW][C]35[/C][C]146[/C][C]156.88380915304[/C][C]-11.5736794561493[/C][C]-10.8838091530396[/C][C]0.198561374925912[/C][/ROW]
[ROW][C]36[/C][C]166[/C][C]155.255957048029[/C][C]-4.64475392036768[/C][C]10.7440429519714[/C][C]0.54645417183672[/C][/ROW]
[ROW][C]37[/C][C]171[/C][C]165.813390226407[/C][C]5.95357168417544[/C][C]5.18660977359335[/C][C]0.836837153141881[/C][/ROW]
[ROW][C]38[/C][C]180[/C][C]181.919671454984[/C][C]13.0291193016346[/C][C]-1.91967145498435[/C][C]0.557592800248038[/C][/ROW]
[ROW][C]39[/C][C]193[/C][C]182.266819942257[/C][C]4.23629382361306[/C][C]10.7331800577428[/C][C]-0.692294861860553[/C][/ROW]
[ROW][C]40[/C][C]181[/C][C]187.090472483925[/C][C]4.64303189409062[/C][C]-6.09047248392486[/C][C]0.0321419705567838[/C][/ROW]
[ROW][C]41[/C][C]183[/C][C]190.410473253576[/C][C]3.72421743043436[/C][C]-7.41047325357594[/C][C]-0.0725304631179211[/C][/ROW]
[ROW][C]42[/C][C]218[/C][C]218.899635101225[/C][C]20.9062895816747[/C][C]-0.899635101225075[/C][C]1.35283025822064[/C][/ROW]
[ROW][C]43[/C][C]230[/C][C]227.041136009779[/C][C]12.0647609603703[/C][C]2.95886399022066[/C][C]-0.696554779811684[/C][/ROW]
[ROW][C]44[/C][C]242[/C][C]234.341612213951[/C][C]8.76358185849181[/C][C]7.6583877860493[/C][C]-0.260227648817721[/C][/ROW]
[ROW][C]45[/C][C]209[/C][C]213.332056190838[/C][C]-11.8793705389474[/C][C]-4.33205619083788[/C][C]-1.62704141202387[/C][/ROW]
[ROW][C]46[/C][C]191[/C][C]196.521087118938[/C][C]-15.2988638318339[/C][C]-5.52108711893847[/C][C]-0.269515336004292[/C][/ROW]
[ROW][C]47[/C][C]172[/C][C]184.659552789243[/C][C]-12.9163871097726[/C][C]-12.6595527892434[/C][C]0.187794432121239[/C][/ROW]
[ROW][C]48[/C][C]194[/C][C]184.923152188848[/C][C]-3.78282917544074[/C][C]9.07684781115226[/C][C]0.720342364305486[/C][/ROW]
[ROW][C]49[/C][C]196[/C][C]191.218741812351[/C][C]3.20563279533353[/C][C]4.78125818764904[/C][C]0.551346850128949[/C][/ROW]
[ROW][C]50[/C][C]196[/C][C]193.579366246096[/C][C]2.62011523208872[/C][C]2.42063375390382[/C][C]-0.0461304372091796[/C][/ROW]
[ROW][C]51[/C][C]236[/C][C]218.307132940921[/C][C]17.8926391045561[/C][C]17.6928670590785[/C][C]1.20301533212109[/C][/ROW]
[ROW][C]52[/C][C]235[/C][C]241.229495122123[/C][C]21.3648401336992[/C][C]-6.22949512212324[/C][C]0.274070123724167[/C][/ROW]
[ROW][C]53[/C][C]229[/C][C]249.142329376306[/C][C]12.0615492519134[/C][C]-20.1423293763063[/C][C]-0.734159674804718[/C][/ROW]
[ROW][C]54[/C][C]243[/C][C]245.706059156692[/C][C]1.34448614457827[/C][C]-2.70605915669215[/C][C]-0.844275840962841[/C][/ROW]
[ROW][C]55[/C][C]264[/C][C]257.065261714693[/C][C]8.2612606188186[/C][C]6.9347382853067[/C][C]0.544865208892013[/C][/ROW]
[ROW][C]56[/C][C]272[/C][C]257.423243713975[/C][C]2.8034229272053[/C][C]14.5767562860252[/C][C]-0.430158968535348[/C][/ROW]
[ROW][C]57[/C][C]237[/C][C]242.918319304712[/C][C]-9.15456152549526[/C][C]-5.91831930471216[/C][C]-0.94252767078822[/C][/ROW]
[ROW][C]58[/C][C]211[/C][C]219.71762076152[/C][C]-18.8597763943477[/C][C]-8.71762076151964[/C][C]-0.764957963507803[/C][/ROW]
[ROW][C]59[/C][C]180[/C][C]196.554401009181[/C][C]-21.8326826321169[/C][C]-16.5544010091808[/C][C]-0.234354663117982[/C][/ROW]
[ROW][C]60[/C][C]201[/C][C]189.552399906262[/C][C]-11.5865147986064[/C][C]11.4476000937375[/C][C]0.808018181120173[/C][/ROW]
[ROW][C]61[/C][C]204[/C][C]194.894776236363[/C][C]0.113970732795915[/C][C]9.10522376363695[/C][C]0.922657388565045[/C][/ROW]
[ROW][C]62[/C][C]188[/C][C]193.968010550871[/C][C]-0.604799774382567[/C][C]-5.96801055087145[/C][C]-0.0566276492552166[/C][/ROW]
[ROW][C]63[/C][C]235[/C][C]213.769823963708[/C][C]13.461017445872[/C][C]21.2301760362916[/C][C]1.10820945417509[/C][/ROW]
[ROW][C]64[/C][C]227[/C][C]229.318245167363[/C][C]14.8991853312634[/C][C]-2.31824516736322[/C][C]0.113458528874094[/C][/ROW]
[ROW][C]65[/C][C]234[/C][C]249.227765952418[/C][C]18.3554249509978[/C][C]-15.2277659524184[/C][C]0.272673301937377[/C][/ROW]
[ROW][C]66[/C][C]264[/C][C]270.882710438616[/C][C]20.6319761742286[/C][C]-6.88271043861634[/C][C]0.179400027127681[/C][/ROW]
[ROW][C]67[/C][C]302[/C][C]293.373612252453[/C][C]21.9134546099378[/C][C]8.62638774754695[/C][C]0.100953058079707[/C][/ROW]
[ROW][C]68[/C][C]293[/C][C]281.873203057613[/C][C]-1.11232879686466[/C][C]11.1267969423874[/C][C]-1.8145503179311[/C][/ROW]
[ROW][C]69[/C][C]259[/C][C]262.838544168342[/C][C]-13.465023957487[/C][C]-3.83854416834158[/C][C]-0.973630073337671[/C][/ROW]
[ROW][C]70[/C][C]229[/C][C]237.991720251486[/C][C]-21.3106164393694[/C][C]-8.99172025148647[/C][C]-0.618420449300077[/C][/ROW]
[ROW][C]71[/C][C]203[/C][C]221.8125435885[/C][C]-17.7735211164793[/C][C]-18.8125435885001[/C][C]0.278850500589937[/C][/ROW]
[ROW][C]72[/C][C]229[/C][C]217.879015576414[/C][C]-8.23165710932106[/C][C]11.1209844235857[/C][C]0.752400013366669[/C][/ROW]
[ROW][C]73[/C][C]242[/C][C]227.484978028211[/C][C]4.06916037072317[/C][C]14.5150219717891[/C][C]0.969739555747818[/C][/ROW]
[ROW][C]74[/C][C]233[/C][C]242.250760618912[/C][C]11.4403322765258[/C][C]-9.25076061891175[/C][C]0.580745780557883[/C][/ROW]
[ROW][C]75[/C][C]267[/C][C]248.062639845332[/C][C]7.56707640730152[/C][C]18.9373601546676[/C][C]-0.305200379906968[/C][/ROW]
[ROW][C]76[/C][C]269[/C][C]270.031042733995[/C][C]17.474567723041[/C][C]-1.03104273399504[/C][C]0.781397722162539[/C][/ROW]
[ROW][C]77[/C][C]270[/C][C]289.244358865427[/C][C]18.6718154401739[/C][C]-19.2443588654271[/C][C]0.0944370630298585[/C][/ROW]
[ROW][C]78[/C][C]315[/C][C]320.691007571521[/C][C]27.4708748973778[/C][C]-5.69100757152095[/C][C]0.693514252549154[/C][/ROW]
[ROW][C]79[/C][C]364[/C][C]346.458231837461[/C][C]26.2981475964754[/C][C]17.5417681625395[/C][C]-0.0923937531650861[/C][/ROW]
[ROW][C]80[/C][C]347[/C][C]338.399553178399[/C][C]2.65973803249421[/C][C]8.60044682160138[/C][C]-1.86269975663523[/C][/ROW]
[ROW][C]81[/C][C]312[/C][C]316.241246400859[/C][C]-14.4152518514341[/C][C]-4.24124640085918[/C][C]-1.34581032837942[/C][/ROW]
[ROW][C]82[/C][C]274[/C][C]286.808837967852[/C][C]-24.7480944351487[/C][C]-12.8088379678521[/C][C]-0.814522101537233[/C][/ROW]
[ROW][C]83[/C][C]237[/C][C]259.835952976091[/C][C]-26.279074203799[/C][C]-22.8359529760909[/C][C]-0.120702724951921[/C][/ROW]
[ROW][C]84[/C][C]278[/C][C]264.010296366869[/C][C]-5.31729684946189[/C][C]13.9897036331307[/C][C]1.65275197294142[/C][/ROW]
[ROW][C]85[/C][C]284[/C][C]269.668371882718[/C][C]2.23809419697517[/C][C]14.3316281172822[/C][C]0.595542825028535[/C][/ROW]
[ROW][C]86[/C][C]277[/C][C]281.221902589392[/C][C]8.64661793758983[/C][C]-4.2219025893915[/C][C]0.504919152546176[/C][/ROW]
[ROW][C]87[/C][C]317[/C][C]299.733716671497[/C][C]15.4262943620682[/C][C]17.2662833285027[/C][C]0.534254330358329[/C][/ROW]
[ROW][C]88[/C][C]313[/C][C]316.164952341225[/C][C]16.1167835142493[/C][C]-3.1649523412253[/C][C]0.0544499238522542[/C][/ROW]
[ROW][C]89[/C][C]318[/C][C]341.787807160397[/C][C]22.6527975441136[/C][C]-23.7878071603969[/C][C]0.515484782234424[/C][/ROW]
[ROW][C]90[/C][C]374[/C][C]378.081219151946[/C][C]32.0346750925082[/C][C]-4.08121915194583[/C][C]0.739517395242578[/C][/ROW]
[ROW][C]91[/C][C]413[/C][C]390.981709424465[/C][C]18.880143597465[/C][C]22.0182905755352[/C][C]-1.03646643977238[/C][/ROW]
[ROW][C]92[/C][C]405[/C][C]391.716960268679[/C][C]6.41231249290613[/C][C]13.2830397313208[/C][C]-0.982429980061358[/C][/ROW]
[ROW][C]93[/C][C]355[/C][C]361.647517373301[/C][C]-18.6508163751807[/C][C]-6.64751737330131[/C][C]-1.97537640845858[/C][/ROW]
[ROW][C]94[/C][C]306[/C][C]321.631710801432[/C][C]-33.3296004307869[/C][C]-15.6317108014323[/C][C]-1.15715372929342[/C][/ROW]
[ROW][C]95[/C][C]271[/C][C]299.208980577475[/C][C]-25.834602586638[/C][C]-28.2089805774748[/C][C]0.590926044463543[/C][/ROW]
[ROW][C]96[/C][C]306[/C][C]290.6476400993[/C][C]-13.9614996207761[/C][C]15.3523599006997[/C][C]0.936088868751523[/C][/ROW]
[ROW][C]97[/C][C]315[/C][C]297.700265193564[/C][C]0.483267350565714[/C][C]17.2997348064361[/C][C]1.13849103201549[/C][/ROW]
[ROW][C]98[/C][C]301[/C][C]305.766996230502[/C][C]5.69289595064963[/C][C]-4.76699623050239[/C][C]0.410472453128856[/C][/ROW]
[ROW][C]99[/C][C]356[/C][C]333.322142747734[/C][C]20.6993538988886[/C][C]22.6778572522661[/C][C]1.18259469052875[/C][/ROW]
[ROW][C]100[/C][C]348[/C][C]356.383501136629[/C][C]22.3204228813604[/C][C]-8.38350113662855[/C][C]0.127820308768355[/C][/ROW]
[ROW][C]101[/C][C]355[/C][C]384.088009367178[/C][C]26.0176014460374[/C][C]-29.0880093671776[/C][C]0.291563757510274[/C][/ROW]
[ROW][C]102[/C][C]422[/C][C]420.362726114562[/C][C]33.063314908581[/C][C]1.63727388543812[/C][C]0.555397474433481[/C][/ROW]
[ROW][C]103[/C][C]465[/C][C]441.582412829556[/C][C]24.9304684381731[/C][C]23.4175871704442[/C][C]-0.640839917426039[/C][/ROW]
[ROW][C]104[/C][C]467[/C][C]445.923304398375[/C][C]10.7993926274851[/C][C]21.0766956016246[/C][C]-1.11347790998417[/C][/ROW]
[ROW][C]105[/C][C]404[/C][C]413.091335036326[/C][C]-19.1376680205573[/C][C]-9.09133503632557[/C][C]-2.35948278732154[/C][/ROW]
[ROW][C]106[/C][C]347[/C][C]369.497689718341[/C][C]-35.9184616591437[/C][C]-22.4976897183413[/C][C]-1.32289016439064[/C][/ROW]
[ROW][C]107[/C][C]305[/C][C]336.359425174038[/C][C]-34.0103336313414[/C][C]-31.3594251740381[/C][C]0.150444292023204[/C][/ROW]
[ROW][C]108[/C][C]336[/C][C]321.23432802967[/C][C]-21.0453295898726[/C][C]14.7656719703303[/C][C]1.02212992151571[/C][/ROW]
[ROW][C]109[/C][C]340[/C][C]319.887574821762[/C][C]-7.5223798610594[/C][C]20.1124251782375[/C][C]1.06578525219994[/C][/ROW]
[ROW][C]110[/C][C]318[/C][C]325.785099233865[/C][C]1.68521515820989[/C][C]-7.78509923386498[/C][C]0.725496516247102[/C][/ROW]
[ROW][C]111[/C][C]362[/C][C]337.592540257299[/C][C]8.62555395694085[/C][C]24.4074597427008[/C][C]0.546953655566806[/C][/ROW]
[ROW][C]112[/C][C]348[/C][C]357.240232792691[/C][C]16.1821125053579[/C][C]-9.24023279269123[/C][C]0.595791718233226[/C][/ROW]
[ROW][C]113[/C][C]363[/C][C]393.310811452844[/C][C]29.8234819664633[/C][C]-30.3108114528444[/C][C]1.07570036819642[/C][/ROW]
[ROW][C]114[/C][C]435[/C][C]431.338508626542[/C][C]35.4524342423637[/C][C]3.6614913734579[/C][C]0.443727055706571[/C][/ROW]
[ROW][C]115[/C][C]491[/C][C]463.215773782014[/C][C]33.000112747473[/C][C]27.7842262179865[/C][C]-0.193243460379379[/C][/ROW]
[ROW][C]116[/C][C]505[/C][C]474.716420343469[/C][C]18.2605075542192[/C][C]30.283579656531[/C][C]-1.16143089403317[/C][/ROW]
[ROW][C]117[/C][C]404[/C][C]421.551172783765[/C][C]-30.6918024904115[/C][C]-17.5511727837652[/C][C]-3.85812343997087[/C][/ROW]
[ROW][C]118[/C][C]359[/C][C]381.045710726703[/C][C]-37.4178156584947[/C][C]-22.0457107267033[/C][C]-0.530240883873939[/C][/ROW]
[ROW][C]119[/C][C]310[/C][C]346.097528528386[/C][C]-35.7247517140631[/C][C]-36.0975285283862[/C][C]0.133488091936894[/C][/ROW]
[ROW][C]120[/C][C]337[/C][C]323.990934430306[/C][C]-26.3863186848379[/C][C]13.0090655696943[/C][C]0.736195548704794[/C][/ROW]
[ROW][C]121[/C][C]360[/C][C]333.613484669217[/C][C]-1.69536864312746[/C][C]26.3865153307831[/C][C]1.94591942555336[/C][/ROW]
[ROW][C]122[/C][C]342[/C][C]348.340460687835[/C][C]9.55953749051953[/C][C]-6.34046068783461[/C][C]0.886832355942534[/C][/ROW]
[ROW][C]123[/C][C]406[/C][C]379.535573874932[/C][C]24.3788306116635[/C][C]26.464426125068[/C][C]1.1678998986474[/C][/ROW]
[ROW][C]124[/C][C]396[/C][C]411.73508231127[/C][C]29.7351664396024[/C][C]-15.7350823112698[/C][C]0.422297286666424[/C][/ROW]
[ROW][C]125[/C][C]420[/C][C]453.440291926595[/C][C]37.9365984530822[/C][C]-33.4402919265946[/C][C]0.646695249715905[/C][/ROW]
[ROW][C]126[/C][C]472[/C][C]475.78185385396[/C][C]27.2483815119764[/C][C]-3.78185385396044[/C][C]-0.842552140673967[/C][/ROW]
[ROW][C]127[/C][C]548[/C][C]510.955897539501[/C][C]32.679217717724[/C][C]37.0441024604989[/C][C]0.42796606531267[/C][/ROW]
[ROW][C]128[/C][C]559[/C][C]513.663292371066[/C][C]12.1518510881669[/C][C]45.3367076289339[/C][C]-1.6175024045829[/C][/ROW]
[ROW][C]129[/C][C]463[/C][C]484.876511573787[/C][C]-15.8768940531275[/C][C]-21.8765115737865[/C][C]-2.20904077175419[/C][/ROW]
[ROW][C]130[/C][C]407[/C][C]434.84068553353[/C][C]-39.2640001784067[/C][C]-27.8406855335304[/C][C]-1.84370688987468[/C][/ROW]
[ROW][C]131[/C][C]362[/C][C]399.140217951318[/C][C]-36.8235519792614[/C][C]-37.140217951318[/C][C]0.192413575460066[/C][/ROW]
[ROW][C]132[/C][C]405[/C][C]394.181741755857[/C][C]-14.995578979465[/C][C]10.818258244143[/C][C]1.72076561965127[/C][/ROW]
[ROW][C]133[/C][C]417[/C][C]392.714811934304[/C][C]-5.72902712058274[/C][C]24.2851880656958[/C][C]0.730297450138768[/C][/ROW]
[ROW][C]134[/C][C]391[/C][C]400.377184496177[/C][C]3.43918809364231[/C][C]-9.37718449617731[/C][C]0.72242699310028[/C][/ROW]
[ROW][C]135[/C][C]419[/C][C]397.703335541408[/C][C]-0.743936327929832[/C][C]21.2966644585917[/C][C]-0.329674096296451[/C][/ROW]
[ROW][C]136[/C][C]461[/C][C]463.863961922355[/C][C]45.035590623403[/C][C]-2.86396192235516[/C][C]3.60916432253025[/C][/ROW]
[ROW][C]137[/C][C]472[/C][C]506.973754743924[/C][C]43.7174072160339[/C][C]-34.9737547439239[/C][C]-0.10393615885983[/C][/ROW]
[ROW][C]138[/C][C]535[/C][C]544.916092607559[/C][C]39.7633948458192[/C][C]-9.91609260755864[/C][C]-0.311694502207231[/C][/ROW]
[ROW][C]139[/C][C]622[/C][C]578.095081142171[/C][C]35.2560039564563[/C][C]43.9049188578288[/C][C]-0.355205223827253[/C][/ROW]
[ROW][C]140[/C][C]606[/C][C]560.043257261541[/C][C]-1.21956353489441[/C][C]45.9567427384587[/C][C]-2.87421693352428[/C][/ROW]
[ROW][C]141[/C][C]508[/C][C]524.076188746647[/C][C]-24.9870482615504[/C][C]-16.0761887466473[/C][C]-1.87319020483904[/C][/ROW]
[ROW][C]142[/C][C]461[/C][C]490.500755250127[/C][C]-30.8615145228219[/C][C]-29.5007552501273[/C][C]-0.463106513569241[/C][/ROW]
[ROW][C]143[/C][C]390[/C][C]441.011228304505[/C][C]-43.6064614411701[/C][C]-51.0112283045047[/C][C]-1.00484343815644[/C][/ROW]
[ROW][C]144[/C][C]432[/C][C]417.850759786557[/C][C]-29.6143509563894[/C][C]14.1492402134427[/C][C]1.10301869014763[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232078&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232078&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
1112112000
2118116.6626608215614.773184726063271.33733917843880.424228080589289
3132130.36539453492911.08629382775841.634605465071390.529048172839721
4129132.2554035519154.19626407101081-3.25540355191513-0.555722284152489
5121123.494625866864-5.30231647071514-2.4946258668638-0.743105121970511
6135130.681795334463.821359431694714.318204665540270.720130207261748
7148145.9541465973912.21060833802172.045853402609860.661413909426483
8148150.7954621267846.80932764852561-2.79546212678442-0.425692682571414
9136139.990519893046-6.0992174360201-3.99051989304574-1.01743382680434
10119120.957802168652-15.5758533983402-1.95780216865166-0.746920875285472
11104103.451987856282-16.98990776505680.548012143717494-0.111451529073362
12118111.320725591031.224060824233676.67927440896961.43557125632817
13115116.0844086602343.81134595429571-1.084408660233730.204507669684527
14126126.6032928573748.73193667907727-0.6032928573737750.393842478299513
15141136.885429383049.826602645324384.114570616960280.0859104666090695
16135136.6235103420032.70264195852385-1.62351034200252-0.570082896849187
17125132.265781810979-2.30644456975704-7.26578181097928-0.39434193015766
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Parameters (Session):
par1 = 12 ;
Parameters (R input):
par1 = 12 ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
nx <- length(x)
x <- ts(x,frequency=par1)
m <- StructTS(x,type='BSM')
m$coef
m$fitted
m$resid
mylevel <- as.numeric(m$fitted[,'level'])
myslope <- as.numeric(m$fitted[,'slope'])
myseas <- as.numeric(m$fitted[,'sea'])
myresid <- as.numeric(m$resid)
myfit <- mylevel+myseas
mylagmax <- nx/2
bitmap(file='test2.png')
op <- par(mfrow = c(2,2))
acf(as.numeric(x),lag.max = mylagmax,main='Observed')
acf(mylevel,na.action=na.pass,lag.max = mylagmax,main='Level')
acf(myseas,na.action=na.pass,lag.max = mylagmax,main='Seasonal')
acf(myresid,na.action=na.pass,lag.max = mylagmax,main='Standardized Residals')
par(op)
dev.off()
bitmap(file='test3.png')
op <- par(mfrow = c(2,2))
spectrum(as.numeric(x),main='Observed')
spectrum(mylevel,main='Level')
spectrum(myseas,main='Seasonal')
spectrum(myresid,main='Standardized Residals')
par(op)
dev.off()
bitmap(file='test4.png')
op <- par(mfrow = c(2,2))
cpgram(as.numeric(x),main='Observed')
cpgram(mylevel,main='Level')
cpgram(myseas,main='Seasonal')
cpgram(myresid,main='Standardized Residals')
par(op)
dev.off()
bitmap(file='test1.png')
plot(as.numeric(m$resid),main='Standardized Residuals',ylab='Residuals',xlab='time',type='b')
grid()
dev.off()
bitmap(file='test5.png')
op <- par(mfrow = c(2,2))
hist(m$resid,main='Residual Histogram')
plot(density(m$resid),main='Residual Kernel Density')
qqnorm(m$resid,main='Residual Normal QQ Plot')
qqline(m$resid)
plot(m$resid^2, myfit^2,main='Sq.Resid vs. Sq.Fit',xlab='Squared residuals',ylab='Squared Fit')
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Structural Time Series Model',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'t',header=TRUE)
a<-table.element(a,'Observed',header=TRUE)
a<-table.element(a,'Level',header=TRUE)
a<-table.element(a,'Slope',header=TRUE)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,'Stand. Residuals',header=TRUE)
a<-table.row.end(a)
for (i in 1:nx) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
a<-table.element(a,mylevel[i])
a<-table.element(a,myslope[i])
a<-table.element(a,myseas[i])
a<-table.element(a,myresid[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')