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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_structuraltimeseries.wasp
Title produced by softwareStructural Time Series Models
Date of computationMon, 20 Dec 2010 10:31:38 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/20/t1292840969j0s7i9048j0im4p.htm/, Retrieved Sat, 04 May 2024 05:29:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=112835, Retrieved Sat, 04 May 2024 05:29:11 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact125
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Structural Time Series Models] [] [2010-12-20 10:31:38] [29eeba0e6ce2cd83aa315a4a7ff8c4aa] [Current]
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Dataseries X:
377
370
358
357
349
348
369
381
368
361
351
351
358
354
347
345
343
340
362
370
373
371
354
357
363
364
363
358
357
357
380
378
376
380
379
384
392
394
392
396
392
396
419
421
420
418
410
418
426
428
430
424
423
427
441
449
452
462
455
461
461
463
462
456
455
456
472
472
471
465
459
465
468
467
463
460
462
461
476
476
471
453
443
442
444
438
427
424
416
406
431
434
418
412
404
409
412
406
398
397
385
390
413
413
401
397
397
409
419
424
428
430
424
433
456
459
446
441
439
454
460
457
451
444
437
443
471
469
454
444
436




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112835&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112835&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112835&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'RServer@AstonUniversity' @ vre.aston.ac.uk







Structural Time Series Model
tObservedLevelSlopeSeasonalStand. Residuals
1377377000
2370370.77182044338-0.364085612821178-0.771820443379732-0.819667559650175
3358360.893609121638-0.857495727577432-2.89360912163831-1.91355436444758
4357357.415620668051-0.996056511308958-0.415620668050982-0.539604561315922
5349350.83970524568-1.3543561783321-1.83970524567983-1.13564667380614
6348348.360025830901-1.44026926413622-0.360025830900925-0.226985859116976
7369364.7482234550950.1009728281021774.251776544904943.56919909301561
8381379.3929570534731.476216282089541.607042946527412.89325467655363
9368372.15219226710.595226720096757-4.15219226710039-1.72504910273599
10361363.204447308049-0.418766238031085-2.204447308049-1.88047706531214
11351353.165321518602-1.48041460255603-2.16532151860176-1.8892437940748
12351350.892383082871-1.57041605225840.107616917128553-0.155211143839857
13358351.32485023196-1.368107284544466.67514976803990.438266450244164
14354352.076002270524-1.114035257940261.923997729476480.380781257302718
15347349.954315608161-1.23557568771516-2.95431560816111-0.188602799786637
16345345.006621479103-1.68137150246395-0.00662147910329645-0.718323472570808
17343343.587009975268-1.6498889856861-0.5870099752676220.0504900209587586
18340343.61466339716-1.4471591093792-3.614663397160230.323004817281015
19362356.6896269993250.3164402777313475.310373000675482.79584782160258
20370365.6406086248831.369044945946144.359391375117121.66223839209093
21373374.0996304704162.23583511633671-1.099630470415571.36477277648142
22371373.1356180140361.84376353855187-2.13561801403576-0.615951608616155
23354360.6058709082420.081014947189498-6.60587090824167-2.76472101998357
24357357.189883569378-0.346286523988329-0.189883569377656-0.67185312408269
25363356.594075456645-0.3765630144315256.40592454335518-0.049795096296961
26364360.2355728215240.1172629992436063.764427178475780.757845195309938
27363363.812074382430.541118643961598-0.8120743824299710.649314572456457
28358359.50948449846-0.052734660459822-1.50948449846026-0.929504086686762
29357357.956856502646-0.236887098776109-0.95685650264629-0.287984504425376
30357362.4871316051390.34855666508877-5.487131605138880.913195549643585
31380373.7761420961451.69217680284276.223857903855352.09542913377379
32378376.4809473158761.816559643229431.519052684123680.194039986755237
33376376.9677230368411.65318516910728-0.967723036840695-0.25491793623416
34380378.3622620522331.621406728816121.63773794776696-0.0495799181184586
35379383.3581793870282.03569926364257-4.358179387028180.646020970100626
36384384.6974995056241.9503842862427-0.697499505623628-0.13362166335584
37392386.7819784663611.966813102896195.21802153363940.0261408019573997
38394390.366705751192.165458930816363.633294248810440.308168360185925
39392391.5849326704522.049518836930860.415067329547941-0.178795550749138
40396396.0481688788262.34498936057412-0.04816887882604750.461538675977981
41392395.6572311463162.00947837623672-3.6572311463158-0.524664089560504
42396402.5845592810252.61296206357534-6.584559281025220.941174230757757
43419411.1889088575623.348152154296087.811091142437531.14575356941826
44421418.2226450048763.80036807879812.777354995124110.704988509357126
45420421.5408739656663.74121033224067-1.54087396566616-0.092251729837293
46418419.4203452013033.02210563705586-1.42034520130258-1.12115410578939
47410416.0460671700862.23801765568379-6.04606717008585-1.22241688976023
48418418.2611139277052.23520472976684-0.261113927705485-0.00440541806308474
49426420.8810398153432.282353041943045.118960184657270.0743092737279108
50428423.7900140258642.359201281855884.209985974136070.119580913899457
51430428.9668462713612.70400928429921.033153728639090.533780219947932
52424425.6392029445561.96619549060588-1.63920294455554-1.15113009152482
53423427.794529983481.98936070280676-4.794529983480160.0362267310518663
54427434.0068827409562.5070123665471-7.006882740955970.80792065169002
55441435.1479922254122.339566535514135.85200777458842-0.261032918501219
56449443.7180242512513.103290009858075.281975748748921.19051788788743
57452450.7461213821343.58434736569211.25387861786570.749950498681144
58462459.9615216192884.274349097267692.038478380711571.0754619111606
59455462.2472564961824.03083406243002-7.24725649618191-0.379776504009806
60461462.7023220821683.59316567385327-1.70232208216846-0.685217858541987
61461458.7766028221352.672145119063282.22339717786457-1.44567609583215
62463459.4892333610392.432032659845923.51076663896065-0.374004328178865
63462459.6966477940252.159833946388932.30335220597479-0.422337765361319
64456458.57813900311.75894162609772-2.57813900310029-0.625057931716198
65455460.3843089979771.76472168977558-5.38430899797650.00903628424572416
66456462.5141352277321.80943856374319-6.514135227731870.069828509226207
67472467.0403432514982.142240123334074.959656748502170.519007671322199
68472468.5598507871332.065961830050333.4401492128667-0.118904411124607
69471471.2228399539362.1390804674289-0.2228399539361870.113962276449176
70465465.3779433410811.16159236816581-0.377943341080785-1.52337964930848
71459465.1102968986250.986698782633627-6.11029689862496-0.27284469344212
72465464.9041569072950.8407537716875470.095843092705268-0.228380088120873
73468465.2030700434260.7744145190336582.79692995657397-0.103908823073392
74467463.4997048371490.4709920299451053.50029516285095-0.472817491477764
75463460.7149842377360.07271654564931032.28501576226447-0.618844746909385
76460461.963511666720.216469654198623-1.963511666719550.224072916997709
77462466.2311796310620.71200826329687-4.231179631061890.774399137178819
78461468.1498776677990.859704521590386-7.149877667798670.230700766303188
79476470.5342591198061.046365493550925.465740880193680.291194156305576
80476472.3314467997721.138280708399123.668553200228480.143283764387947
81471470.2277512161710.7414775972156220.77224878382903-0.618361931042568
82453457.613439884611-0.89264850803403-4.61343988461131-2.54673025457714
83443450.294990766958-1.67856596034968-7.2949907669579-1.22633383089189
84442443.169469633218-2.34478253898502-1.16946963321799-1.04200783037378
85444440.150113751741-2.427335434762853.84988624825905-0.129145953899806
86438434.589412651668-2.810837481311473.41058734833206-0.597741884616217
87427426.756398117148-3.425052488001540.243601882851705-0.955282341767888
88424425.940663608999-3.10610261904724-1.940663608999230.497121782484273
89416421.427165284535-3.27818470621251-5.42716528453461-0.26882400381483
90406414.923467592817-3.67277887304397-8.92346759281678-0.616406772481001
91431421.831706341288-2.378014792182819.168293658712182.02031356674395
92434426.947223948541-1.461093792869457.052776051459491.42943278590965
93418416.869559562373-2.515200172729521.13044043762744-1.64257234565825
94412414.271739515864-2.52530406171486-2.27173951586367-0.015747501774449
95404410.366231823789-2.69404714138637-6.36623182378885-0.263332374531435
96409409.22075434622-2.50469851032565-0.2207543462196170.29602569033092
97412406.982911665032-2.472054234232265.017088334967640.0510294650765298
98406402.070506644262-2.770604674506323.92949335573771-0.465403965078753
99398398.457860671294-2.87356026566692-0.457860671294424-0.160231321976855
100397397.556668923814-2.63251292740968-0.5566689238136820.375710414754938
101385391.380899274974-3.06561020495785-6.38089927497433-0.676378661957069
102390398.412677184335-1.83085258605721-8.412677184335031.9287900953799
103413403.634772097366-0.9681629470030749.365227902633731.34630156421877
104413403.594187556936-0.8547081165357789.405812443064160.176881487629252
105401400.659750006732-1.109028649064650.340249993268361-0.396299940547861
106397399.088927178462-1.16548159281065-2.08892717846199-0.087992563025745
107397402.268280572463-0.634446023318783-5.26828057246290.8287398188054
108409407.3337031372590.0623082294693261.666296862741221.08889843578405
109419411.8581016561680.6079622008260457.141898343832010.852527948642628
110424418.0246457798091.287740221054195.975354220190621.05981250206448
111428426.5089025042292.167434541354711.491097495771411.36973309683167
112430429.9444231037432.322382436406130.05557689625654040.241526792630361
113424433.2811118438452.44633089993157-9.28111184384520.193527956233552
114433441.4354581745223.14409920473569-8.435458174521651.08986481447066
115456446.3842786345673.364768318124779.615721365433270.344395841259839
116459449.1486788429593.291360497393229.8513211570414-0.11445405523389
117446447.3528278281162.66947573471673-1.35282782811619-0.96911579267617
118441445.6790406225492.13868614165583-4.67904062254922-0.827410190793463
119439446.2531480692451.94750731670341-7.25314806924458-0.298354125337589
120454452.2054319619332.436935973902931.794568038066640.764651870631468
121460454.8370971145992.46074151869135.162902885401340.0371803987763305
122457454.1966845736842.081611878140392.80331542631626-0.591138382960509
123451451.4691648020831.49388222389752-0.469164802083169-0.915454023901634
124444446.5707536539160.712934872938267-2.57075365391579-1.21740888983367
125437447.5886435670130.750192576524574-10.58864356701320.058161869203174
126443451.0205102900821.07791880795666-8.020510290082330.511819873914855
127471458.7409417736731.8898772496072212.25905822632681.26723397921852
128469458.6133195827341.6432666913868410.3866804172657-0.384529323267877
129454455.6503263290311.08033099232356-1.65032632903076-0.877323910597753
130444450.5103864885160.320338132477274-6.51038648851589-1.18480272773939
131436445.92693724783-0.278741832755345-9.9269372478295-0.93489805075211

\begin{tabular}{lllllllll}
\hline
Structural Time Series Model \tabularnewline
t & Observed & Level & Slope & Seasonal & Stand. Residuals \tabularnewline
1 & 377 & 377 & 0 & 0 & 0 \tabularnewline
2 & 370 & 370.77182044338 & -0.364085612821178 & -0.771820443379732 & -0.819667559650175 \tabularnewline
3 & 358 & 360.893609121638 & -0.857495727577432 & -2.89360912163831 & -1.91355436444758 \tabularnewline
4 & 357 & 357.415620668051 & -0.996056511308958 & -0.415620668050982 & -0.539604561315922 \tabularnewline
5 & 349 & 350.83970524568 & -1.3543561783321 & -1.83970524567983 & -1.13564667380614 \tabularnewline
6 & 348 & 348.360025830901 & -1.44026926413622 & -0.360025830900925 & -0.226985859116976 \tabularnewline
7 & 369 & 364.748223455095 & 0.100972828102177 & 4.25177654490494 & 3.56919909301561 \tabularnewline
8 & 381 & 379.392957053473 & 1.47621628208954 & 1.60704294652741 & 2.89325467655363 \tabularnewline
9 & 368 & 372.1521922671 & 0.595226720096757 & -4.15219226710039 & -1.72504910273599 \tabularnewline
10 & 361 & 363.204447308049 & -0.418766238031085 & -2.204447308049 & -1.88047706531214 \tabularnewline
11 & 351 & 353.165321518602 & -1.48041460255603 & -2.16532151860176 & -1.8892437940748 \tabularnewline
12 & 351 & 350.892383082871 & -1.5704160522584 & 0.107616917128553 & -0.155211143839857 \tabularnewline
13 & 358 & 351.32485023196 & -1.36810728454446 & 6.6751497680399 & 0.438266450244164 \tabularnewline
14 & 354 & 352.076002270524 & -1.11403525794026 & 1.92399772947648 & 0.380781257302718 \tabularnewline
15 & 347 & 349.954315608161 & -1.23557568771516 & -2.95431560816111 & -0.188602799786637 \tabularnewline
16 & 345 & 345.006621479103 & -1.68137150246395 & -0.00662147910329645 & -0.718323472570808 \tabularnewline
17 & 343 & 343.587009975268 & -1.6498889856861 & -0.587009975267622 & 0.0504900209587586 \tabularnewline
18 & 340 & 343.61466339716 & -1.4471591093792 & -3.61466339716023 & 0.323004817281015 \tabularnewline
19 & 362 & 356.689626999325 & 0.316440277731347 & 5.31037300067548 & 2.79584782160258 \tabularnewline
20 & 370 & 365.640608624883 & 1.36904494594614 & 4.35939137511712 & 1.66223839209093 \tabularnewline
21 & 373 & 374.099630470416 & 2.23583511633671 & -1.09963047041557 & 1.36477277648142 \tabularnewline
22 & 371 & 373.135618014036 & 1.84376353855187 & -2.13561801403576 & -0.615951608616155 \tabularnewline
23 & 354 & 360.605870908242 & 0.081014947189498 & -6.60587090824167 & -2.76472101998357 \tabularnewline
24 & 357 & 357.189883569378 & -0.346286523988329 & -0.189883569377656 & -0.67185312408269 \tabularnewline
25 & 363 & 356.594075456645 & -0.376563014431525 & 6.40592454335518 & -0.049795096296961 \tabularnewline
26 & 364 & 360.235572821524 & 0.117262999243606 & 3.76442717847578 & 0.757845195309938 \tabularnewline
27 & 363 & 363.81207438243 & 0.541118643961598 & -0.812074382429971 & 0.649314572456457 \tabularnewline
28 & 358 & 359.50948449846 & -0.052734660459822 & -1.50948449846026 & -0.929504086686762 \tabularnewline
29 & 357 & 357.956856502646 & -0.236887098776109 & -0.95685650264629 & -0.287984504425376 \tabularnewline
30 & 357 & 362.487131605139 & 0.34855666508877 & -5.48713160513888 & 0.913195549643585 \tabularnewline
31 & 380 & 373.776142096145 & 1.6921768028427 & 6.22385790385535 & 2.09542913377379 \tabularnewline
32 & 378 & 376.480947315876 & 1.81655964322943 & 1.51905268412368 & 0.194039986755237 \tabularnewline
33 & 376 & 376.967723036841 & 1.65318516910728 & -0.967723036840695 & -0.25491793623416 \tabularnewline
34 & 380 & 378.362262052233 & 1.62140672881612 & 1.63773794776696 & -0.0495799181184586 \tabularnewline
35 & 379 & 383.358179387028 & 2.03569926364257 & -4.35817938702818 & 0.646020970100626 \tabularnewline
36 & 384 & 384.697499505624 & 1.9503842862427 & -0.697499505623628 & -0.13362166335584 \tabularnewline
37 & 392 & 386.781978466361 & 1.96681310289619 & 5.2180215336394 & 0.0261408019573997 \tabularnewline
38 & 394 & 390.36670575119 & 2.16545893081636 & 3.63329424881044 & 0.308168360185925 \tabularnewline
39 & 392 & 391.584932670452 & 2.04951883693086 & 0.415067329547941 & -0.178795550749138 \tabularnewline
40 & 396 & 396.048168878826 & 2.34498936057412 & -0.0481688788260475 & 0.461538675977981 \tabularnewline
41 & 392 & 395.657231146316 & 2.00947837623672 & -3.6572311463158 & -0.524664089560504 \tabularnewline
42 & 396 & 402.584559281025 & 2.61296206357534 & -6.58455928102522 & 0.941174230757757 \tabularnewline
43 & 419 & 411.188908857562 & 3.34815215429608 & 7.81109114243753 & 1.14575356941826 \tabularnewline
44 & 421 & 418.222645004876 & 3.8003680787981 & 2.77735499512411 & 0.704988509357126 \tabularnewline
45 & 420 & 421.540873965666 & 3.74121033224067 & -1.54087396566616 & -0.092251729837293 \tabularnewline
46 & 418 & 419.420345201303 & 3.02210563705586 & -1.42034520130258 & -1.12115410578939 \tabularnewline
47 & 410 & 416.046067170086 & 2.23801765568379 & -6.04606717008585 & -1.22241688976023 \tabularnewline
48 & 418 & 418.261113927705 & 2.23520472976684 & -0.261113927705485 & -0.00440541806308474 \tabularnewline
49 & 426 & 420.881039815343 & 2.28235304194304 & 5.11896018465727 & 0.0743092737279108 \tabularnewline
50 & 428 & 423.790014025864 & 2.35920128185588 & 4.20998597413607 & 0.119580913899457 \tabularnewline
51 & 430 & 428.966846271361 & 2.7040092842992 & 1.03315372863909 & 0.533780219947932 \tabularnewline
52 & 424 & 425.639202944556 & 1.96619549060588 & -1.63920294455554 & -1.15113009152482 \tabularnewline
53 & 423 & 427.79452998348 & 1.98936070280676 & -4.79452998348016 & 0.0362267310518663 \tabularnewline
54 & 427 & 434.006882740956 & 2.5070123665471 & -7.00688274095597 & 0.80792065169002 \tabularnewline
55 & 441 & 435.147992225412 & 2.33956653551413 & 5.85200777458842 & -0.261032918501219 \tabularnewline
56 & 449 & 443.718024251251 & 3.10329000985807 & 5.28197574874892 & 1.19051788788743 \tabularnewline
57 & 452 & 450.746121382134 & 3.5843473656921 & 1.2538786178657 & 0.749950498681144 \tabularnewline
58 & 462 & 459.961521619288 & 4.27434909726769 & 2.03847838071157 & 1.0754619111606 \tabularnewline
59 & 455 & 462.247256496182 & 4.03083406243002 & -7.24725649618191 & -0.379776504009806 \tabularnewline
60 & 461 & 462.702322082168 & 3.59316567385327 & -1.70232208216846 & -0.685217858541987 \tabularnewline
61 & 461 & 458.776602822135 & 2.67214511906328 & 2.22339717786457 & -1.44567609583215 \tabularnewline
62 & 463 & 459.489233361039 & 2.43203265984592 & 3.51076663896065 & -0.374004328178865 \tabularnewline
63 & 462 & 459.696647794025 & 2.15983394638893 & 2.30335220597479 & -0.422337765361319 \tabularnewline
64 & 456 & 458.5781390031 & 1.75894162609772 & -2.57813900310029 & -0.625057931716198 \tabularnewline
65 & 455 & 460.384308997977 & 1.76472168977558 & -5.3843089979765 & 0.00903628424572416 \tabularnewline
66 & 456 & 462.514135227732 & 1.80943856374319 & -6.51413522773187 & 0.069828509226207 \tabularnewline
67 & 472 & 467.040343251498 & 2.14224012333407 & 4.95965674850217 & 0.519007671322199 \tabularnewline
68 & 472 & 468.559850787133 & 2.06596183005033 & 3.4401492128667 & -0.118904411124607 \tabularnewline
69 & 471 & 471.222839953936 & 2.1390804674289 & -0.222839953936187 & 0.113962276449176 \tabularnewline
70 & 465 & 465.377943341081 & 1.16159236816581 & -0.377943341080785 & -1.52337964930848 \tabularnewline
71 & 459 & 465.110296898625 & 0.986698782633627 & -6.11029689862496 & -0.27284469344212 \tabularnewline
72 & 465 & 464.904156907295 & 0.840753771687547 & 0.095843092705268 & -0.228380088120873 \tabularnewline
73 & 468 & 465.203070043426 & 0.774414519033658 & 2.79692995657397 & -0.103908823073392 \tabularnewline
74 & 467 & 463.499704837149 & 0.470992029945105 & 3.50029516285095 & -0.472817491477764 \tabularnewline
75 & 463 & 460.714984237736 & 0.0727165456493103 & 2.28501576226447 & -0.618844746909385 \tabularnewline
76 & 460 & 461.96351166672 & 0.216469654198623 & -1.96351166671955 & 0.224072916997709 \tabularnewline
77 & 462 & 466.231179631062 & 0.71200826329687 & -4.23117963106189 & 0.774399137178819 \tabularnewline
78 & 461 & 468.149877667799 & 0.859704521590386 & -7.14987766779867 & 0.230700766303188 \tabularnewline
79 & 476 & 470.534259119806 & 1.04636549355092 & 5.46574088019368 & 0.291194156305576 \tabularnewline
80 & 476 & 472.331446799772 & 1.13828070839912 & 3.66855320022848 & 0.143283764387947 \tabularnewline
81 & 471 & 470.227751216171 & 0.741477597215622 & 0.77224878382903 & -0.618361931042568 \tabularnewline
82 & 453 & 457.613439884611 & -0.89264850803403 & -4.61343988461131 & -2.54673025457714 \tabularnewline
83 & 443 & 450.294990766958 & -1.67856596034968 & -7.2949907669579 & -1.22633383089189 \tabularnewline
84 & 442 & 443.169469633218 & -2.34478253898502 & -1.16946963321799 & -1.04200783037378 \tabularnewline
85 & 444 & 440.150113751741 & -2.42733543476285 & 3.84988624825905 & -0.129145953899806 \tabularnewline
86 & 438 & 434.589412651668 & -2.81083748131147 & 3.41058734833206 & -0.597741884616217 \tabularnewline
87 & 427 & 426.756398117148 & -3.42505248800154 & 0.243601882851705 & -0.955282341767888 \tabularnewline
88 & 424 & 425.940663608999 & -3.10610261904724 & -1.94066360899923 & 0.497121782484273 \tabularnewline
89 & 416 & 421.427165284535 & -3.27818470621251 & -5.42716528453461 & -0.26882400381483 \tabularnewline
90 & 406 & 414.923467592817 & -3.67277887304397 & -8.92346759281678 & -0.616406772481001 \tabularnewline
91 & 431 & 421.831706341288 & -2.37801479218281 & 9.16829365871218 & 2.02031356674395 \tabularnewline
92 & 434 & 426.947223948541 & -1.46109379286945 & 7.05277605145949 & 1.42943278590965 \tabularnewline
93 & 418 & 416.869559562373 & -2.51520017272952 & 1.13044043762744 & -1.64257234565825 \tabularnewline
94 & 412 & 414.271739515864 & -2.52530406171486 & -2.27173951586367 & -0.015747501774449 \tabularnewline
95 & 404 & 410.366231823789 & -2.69404714138637 & -6.36623182378885 & -0.263332374531435 \tabularnewline
96 & 409 & 409.22075434622 & -2.50469851032565 & -0.220754346219617 & 0.29602569033092 \tabularnewline
97 & 412 & 406.982911665032 & -2.47205423423226 & 5.01708833496764 & 0.0510294650765298 \tabularnewline
98 & 406 & 402.070506644262 & -2.77060467450632 & 3.92949335573771 & -0.465403965078753 \tabularnewline
99 & 398 & 398.457860671294 & -2.87356026566692 & -0.457860671294424 & -0.160231321976855 \tabularnewline
100 & 397 & 397.556668923814 & -2.63251292740968 & -0.556668923813682 & 0.375710414754938 \tabularnewline
101 & 385 & 391.380899274974 & -3.06561020495785 & -6.38089927497433 & -0.676378661957069 \tabularnewline
102 & 390 & 398.412677184335 & -1.83085258605721 & -8.41267718433503 & 1.9287900953799 \tabularnewline
103 & 413 & 403.634772097366 & -0.968162947003074 & 9.36522790263373 & 1.34630156421877 \tabularnewline
104 & 413 & 403.594187556936 & -0.854708116535778 & 9.40581244306416 & 0.176881487629252 \tabularnewline
105 & 401 & 400.659750006732 & -1.10902864906465 & 0.340249993268361 & -0.396299940547861 \tabularnewline
106 & 397 & 399.088927178462 & -1.16548159281065 & -2.08892717846199 & -0.087992563025745 \tabularnewline
107 & 397 & 402.268280572463 & -0.634446023318783 & -5.2682805724629 & 0.8287398188054 \tabularnewline
108 & 409 & 407.333703137259 & 0.062308229469326 & 1.66629686274122 & 1.08889843578405 \tabularnewline
109 & 419 & 411.858101656168 & 0.607962200826045 & 7.14189834383201 & 0.852527948642628 \tabularnewline
110 & 424 & 418.024645779809 & 1.28774022105419 & 5.97535422019062 & 1.05981250206448 \tabularnewline
111 & 428 & 426.508902504229 & 2.16743454135471 & 1.49109749577141 & 1.36973309683167 \tabularnewline
112 & 430 & 429.944423103743 & 2.32238243640613 & 0.0555768962565404 & 0.241526792630361 \tabularnewline
113 & 424 & 433.281111843845 & 2.44633089993157 & -9.2811118438452 & 0.193527956233552 \tabularnewline
114 & 433 & 441.435458174522 & 3.14409920473569 & -8.43545817452165 & 1.08986481447066 \tabularnewline
115 & 456 & 446.384278634567 & 3.36476831812477 & 9.61572136543327 & 0.344395841259839 \tabularnewline
116 & 459 & 449.148678842959 & 3.29136049739322 & 9.8513211570414 & -0.11445405523389 \tabularnewline
117 & 446 & 447.352827828116 & 2.66947573471673 & -1.35282782811619 & -0.96911579267617 \tabularnewline
118 & 441 & 445.679040622549 & 2.13868614165583 & -4.67904062254922 & -0.827410190793463 \tabularnewline
119 & 439 & 446.253148069245 & 1.94750731670341 & -7.25314806924458 & -0.298354125337589 \tabularnewline
120 & 454 & 452.205431961933 & 2.43693597390293 & 1.79456803806664 & 0.764651870631468 \tabularnewline
121 & 460 & 454.837097114599 & 2.4607415186913 & 5.16290288540134 & 0.0371803987763305 \tabularnewline
122 & 457 & 454.196684573684 & 2.08161187814039 & 2.80331542631626 & -0.591138382960509 \tabularnewline
123 & 451 & 451.469164802083 & 1.49388222389752 & -0.469164802083169 & -0.915454023901634 \tabularnewline
124 & 444 & 446.570753653916 & 0.712934872938267 & -2.57075365391579 & -1.21740888983367 \tabularnewline
125 & 437 & 447.588643567013 & 0.750192576524574 & -10.5886435670132 & 0.058161869203174 \tabularnewline
126 & 443 & 451.020510290082 & 1.07791880795666 & -8.02051029008233 & 0.511819873914855 \tabularnewline
127 & 471 & 458.740941773673 & 1.88987724960722 & 12.2590582263268 & 1.26723397921852 \tabularnewline
128 & 469 & 458.613319582734 & 1.64326669138684 & 10.3866804172657 & -0.384529323267877 \tabularnewline
129 & 454 & 455.650326329031 & 1.08033099232356 & -1.65032632903076 & -0.877323910597753 \tabularnewline
130 & 444 & 450.510386488516 & 0.320338132477274 & -6.51038648851589 & -1.18480272773939 \tabularnewline
131 & 436 & 445.92693724783 & -0.278741832755345 & -9.9269372478295 & -0.93489805075211 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112835&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]377[/C][C]377[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]370[/C][C]370.77182044338[/C][C]-0.364085612821178[/C][C]-0.771820443379732[/C][C]-0.819667559650175[/C][/ROW]
[ROW][C]3[/C][C]358[/C][C]360.893609121638[/C][C]-0.857495727577432[/C][C]-2.89360912163831[/C][C]-1.91355436444758[/C][/ROW]
[ROW][C]4[/C][C]357[/C][C]357.415620668051[/C][C]-0.996056511308958[/C][C]-0.415620668050982[/C][C]-0.539604561315922[/C][/ROW]
[ROW][C]5[/C][C]349[/C][C]350.83970524568[/C][C]-1.3543561783321[/C][C]-1.83970524567983[/C][C]-1.13564667380614[/C][/ROW]
[ROW][C]6[/C][C]348[/C][C]348.360025830901[/C][C]-1.44026926413622[/C][C]-0.360025830900925[/C][C]-0.226985859116976[/C][/ROW]
[ROW][C]7[/C][C]369[/C][C]364.748223455095[/C][C]0.100972828102177[/C][C]4.25177654490494[/C][C]3.56919909301561[/C][/ROW]
[ROW][C]8[/C][C]381[/C][C]379.392957053473[/C][C]1.47621628208954[/C][C]1.60704294652741[/C][C]2.89325467655363[/C][/ROW]
[ROW][C]9[/C][C]368[/C][C]372.1521922671[/C][C]0.595226720096757[/C][C]-4.15219226710039[/C][C]-1.72504910273599[/C][/ROW]
[ROW][C]10[/C][C]361[/C][C]363.204447308049[/C][C]-0.418766238031085[/C][C]-2.204447308049[/C][C]-1.88047706531214[/C][/ROW]
[ROW][C]11[/C][C]351[/C][C]353.165321518602[/C][C]-1.48041460255603[/C][C]-2.16532151860176[/C][C]-1.8892437940748[/C][/ROW]
[ROW][C]12[/C][C]351[/C][C]350.892383082871[/C][C]-1.5704160522584[/C][C]0.107616917128553[/C][C]-0.155211143839857[/C][/ROW]
[ROW][C]13[/C][C]358[/C][C]351.32485023196[/C][C]-1.36810728454446[/C][C]6.6751497680399[/C][C]0.438266450244164[/C][/ROW]
[ROW][C]14[/C][C]354[/C][C]352.076002270524[/C][C]-1.11403525794026[/C][C]1.92399772947648[/C][C]0.380781257302718[/C][/ROW]
[ROW][C]15[/C][C]347[/C][C]349.954315608161[/C][C]-1.23557568771516[/C][C]-2.95431560816111[/C][C]-0.188602799786637[/C][/ROW]
[ROW][C]16[/C][C]345[/C][C]345.006621479103[/C][C]-1.68137150246395[/C][C]-0.00662147910329645[/C][C]-0.718323472570808[/C][/ROW]
[ROW][C]17[/C][C]343[/C][C]343.587009975268[/C][C]-1.6498889856861[/C][C]-0.587009975267622[/C][C]0.0504900209587586[/C][/ROW]
[ROW][C]18[/C][C]340[/C][C]343.61466339716[/C][C]-1.4471591093792[/C][C]-3.61466339716023[/C][C]0.323004817281015[/C][/ROW]
[ROW][C]19[/C][C]362[/C][C]356.689626999325[/C][C]0.316440277731347[/C][C]5.31037300067548[/C][C]2.79584782160258[/C][/ROW]
[ROW][C]20[/C][C]370[/C][C]365.640608624883[/C][C]1.36904494594614[/C][C]4.35939137511712[/C][C]1.66223839209093[/C][/ROW]
[ROW][C]21[/C][C]373[/C][C]374.099630470416[/C][C]2.23583511633671[/C][C]-1.09963047041557[/C][C]1.36477277648142[/C][/ROW]
[ROW][C]22[/C][C]371[/C][C]373.135618014036[/C][C]1.84376353855187[/C][C]-2.13561801403576[/C][C]-0.615951608616155[/C][/ROW]
[ROW][C]23[/C][C]354[/C][C]360.605870908242[/C][C]0.081014947189498[/C][C]-6.60587090824167[/C][C]-2.76472101998357[/C][/ROW]
[ROW][C]24[/C][C]357[/C][C]357.189883569378[/C][C]-0.346286523988329[/C][C]-0.189883569377656[/C][C]-0.67185312408269[/C][/ROW]
[ROW][C]25[/C][C]363[/C][C]356.594075456645[/C][C]-0.376563014431525[/C][C]6.40592454335518[/C][C]-0.049795096296961[/C][/ROW]
[ROW][C]26[/C][C]364[/C][C]360.235572821524[/C][C]0.117262999243606[/C][C]3.76442717847578[/C][C]0.757845195309938[/C][/ROW]
[ROW][C]27[/C][C]363[/C][C]363.81207438243[/C][C]0.541118643961598[/C][C]-0.812074382429971[/C][C]0.649314572456457[/C][/ROW]
[ROW][C]28[/C][C]358[/C][C]359.50948449846[/C][C]-0.052734660459822[/C][C]-1.50948449846026[/C][C]-0.929504086686762[/C][/ROW]
[ROW][C]29[/C][C]357[/C][C]357.956856502646[/C][C]-0.236887098776109[/C][C]-0.95685650264629[/C][C]-0.287984504425376[/C][/ROW]
[ROW][C]30[/C][C]357[/C][C]362.487131605139[/C][C]0.34855666508877[/C][C]-5.48713160513888[/C][C]0.913195549643585[/C][/ROW]
[ROW][C]31[/C][C]380[/C][C]373.776142096145[/C][C]1.6921768028427[/C][C]6.22385790385535[/C][C]2.09542913377379[/C][/ROW]
[ROW][C]32[/C][C]378[/C][C]376.480947315876[/C][C]1.81655964322943[/C][C]1.51905268412368[/C][C]0.194039986755237[/C][/ROW]
[ROW][C]33[/C][C]376[/C][C]376.967723036841[/C][C]1.65318516910728[/C][C]-0.967723036840695[/C][C]-0.25491793623416[/C][/ROW]
[ROW][C]34[/C][C]380[/C][C]378.362262052233[/C][C]1.62140672881612[/C][C]1.63773794776696[/C][C]-0.0495799181184586[/C][/ROW]
[ROW][C]35[/C][C]379[/C][C]383.358179387028[/C][C]2.03569926364257[/C][C]-4.35817938702818[/C][C]0.646020970100626[/C][/ROW]
[ROW][C]36[/C][C]384[/C][C]384.697499505624[/C][C]1.9503842862427[/C][C]-0.697499505623628[/C][C]-0.13362166335584[/C][/ROW]
[ROW][C]37[/C][C]392[/C][C]386.781978466361[/C][C]1.96681310289619[/C][C]5.2180215336394[/C][C]0.0261408019573997[/C][/ROW]
[ROW][C]38[/C][C]394[/C][C]390.36670575119[/C][C]2.16545893081636[/C][C]3.63329424881044[/C][C]0.308168360185925[/C][/ROW]
[ROW][C]39[/C][C]392[/C][C]391.584932670452[/C][C]2.04951883693086[/C][C]0.415067329547941[/C][C]-0.178795550749138[/C][/ROW]
[ROW][C]40[/C][C]396[/C][C]396.048168878826[/C][C]2.34498936057412[/C][C]-0.0481688788260475[/C][C]0.461538675977981[/C][/ROW]
[ROW][C]41[/C][C]392[/C][C]395.657231146316[/C][C]2.00947837623672[/C][C]-3.6572311463158[/C][C]-0.524664089560504[/C][/ROW]
[ROW][C]42[/C][C]396[/C][C]402.584559281025[/C][C]2.61296206357534[/C][C]-6.58455928102522[/C][C]0.941174230757757[/C][/ROW]
[ROW][C]43[/C][C]419[/C][C]411.188908857562[/C][C]3.34815215429608[/C][C]7.81109114243753[/C][C]1.14575356941826[/C][/ROW]
[ROW][C]44[/C][C]421[/C][C]418.222645004876[/C][C]3.8003680787981[/C][C]2.77735499512411[/C][C]0.704988509357126[/C][/ROW]
[ROW][C]45[/C][C]420[/C][C]421.540873965666[/C][C]3.74121033224067[/C][C]-1.54087396566616[/C][C]-0.092251729837293[/C][/ROW]
[ROW][C]46[/C][C]418[/C][C]419.420345201303[/C][C]3.02210563705586[/C][C]-1.42034520130258[/C][C]-1.12115410578939[/C][/ROW]
[ROW][C]47[/C][C]410[/C][C]416.046067170086[/C][C]2.23801765568379[/C][C]-6.04606717008585[/C][C]-1.22241688976023[/C][/ROW]
[ROW][C]48[/C][C]418[/C][C]418.261113927705[/C][C]2.23520472976684[/C][C]-0.261113927705485[/C][C]-0.00440541806308474[/C][/ROW]
[ROW][C]49[/C][C]426[/C][C]420.881039815343[/C][C]2.28235304194304[/C][C]5.11896018465727[/C][C]0.0743092737279108[/C][/ROW]
[ROW][C]50[/C][C]428[/C][C]423.790014025864[/C][C]2.35920128185588[/C][C]4.20998597413607[/C][C]0.119580913899457[/C][/ROW]
[ROW][C]51[/C][C]430[/C][C]428.966846271361[/C][C]2.7040092842992[/C][C]1.03315372863909[/C][C]0.533780219947932[/C][/ROW]
[ROW][C]52[/C][C]424[/C][C]425.639202944556[/C][C]1.96619549060588[/C][C]-1.63920294455554[/C][C]-1.15113009152482[/C][/ROW]
[ROW][C]53[/C][C]423[/C][C]427.79452998348[/C][C]1.98936070280676[/C][C]-4.79452998348016[/C][C]0.0362267310518663[/C][/ROW]
[ROW][C]54[/C][C]427[/C][C]434.006882740956[/C][C]2.5070123665471[/C][C]-7.00688274095597[/C][C]0.80792065169002[/C][/ROW]
[ROW][C]55[/C][C]441[/C][C]435.147992225412[/C][C]2.33956653551413[/C][C]5.85200777458842[/C][C]-0.261032918501219[/C][/ROW]
[ROW][C]56[/C][C]449[/C][C]443.718024251251[/C][C]3.10329000985807[/C][C]5.28197574874892[/C][C]1.19051788788743[/C][/ROW]
[ROW][C]57[/C][C]452[/C][C]450.746121382134[/C][C]3.5843473656921[/C][C]1.2538786178657[/C][C]0.749950498681144[/C][/ROW]
[ROW][C]58[/C][C]462[/C][C]459.961521619288[/C][C]4.27434909726769[/C][C]2.03847838071157[/C][C]1.0754619111606[/C][/ROW]
[ROW][C]59[/C][C]455[/C][C]462.247256496182[/C][C]4.03083406243002[/C][C]-7.24725649618191[/C][C]-0.379776504009806[/C][/ROW]
[ROW][C]60[/C][C]461[/C][C]462.702322082168[/C][C]3.59316567385327[/C][C]-1.70232208216846[/C][C]-0.685217858541987[/C][/ROW]
[ROW][C]61[/C][C]461[/C][C]458.776602822135[/C][C]2.67214511906328[/C][C]2.22339717786457[/C][C]-1.44567609583215[/C][/ROW]
[ROW][C]62[/C][C]463[/C][C]459.489233361039[/C][C]2.43203265984592[/C][C]3.51076663896065[/C][C]-0.374004328178865[/C][/ROW]
[ROW][C]63[/C][C]462[/C][C]459.696647794025[/C][C]2.15983394638893[/C][C]2.30335220597479[/C][C]-0.422337765361319[/C][/ROW]
[ROW][C]64[/C][C]456[/C][C]458.5781390031[/C][C]1.75894162609772[/C][C]-2.57813900310029[/C][C]-0.625057931716198[/C][/ROW]
[ROW][C]65[/C][C]455[/C][C]460.384308997977[/C][C]1.76472168977558[/C][C]-5.3843089979765[/C][C]0.00903628424572416[/C][/ROW]
[ROW][C]66[/C][C]456[/C][C]462.514135227732[/C][C]1.80943856374319[/C][C]-6.51413522773187[/C][C]0.069828509226207[/C][/ROW]
[ROW][C]67[/C][C]472[/C][C]467.040343251498[/C][C]2.14224012333407[/C][C]4.95965674850217[/C][C]0.519007671322199[/C][/ROW]
[ROW][C]68[/C][C]472[/C][C]468.559850787133[/C][C]2.06596183005033[/C][C]3.4401492128667[/C][C]-0.118904411124607[/C][/ROW]
[ROW][C]69[/C][C]471[/C][C]471.222839953936[/C][C]2.1390804674289[/C][C]-0.222839953936187[/C][C]0.113962276449176[/C][/ROW]
[ROW][C]70[/C][C]465[/C][C]465.377943341081[/C][C]1.16159236816581[/C][C]-0.377943341080785[/C][C]-1.52337964930848[/C][/ROW]
[ROW][C]71[/C][C]459[/C][C]465.110296898625[/C][C]0.986698782633627[/C][C]-6.11029689862496[/C][C]-0.27284469344212[/C][/ROW]
[ROW][C]72[/C][C]465[/C][C]464.904156907295[/C][C]0.840753771687547[/C][C]0.095843092705268[/C][C]-0.228380088120873[/C][/ROW]
[ROW][C]73[/C][C]468[/C][C]465.203070043426[/C][C]0.774414519033658[/C][C]2.79692995657397[/C][C]-0.103908823073392[/C][/ROW]
[ROW][C]74[/C][C]467[/C][C]463.499704837149[/C][C]0.470992029945105[/C][C]3.50029516285095[/C][C]-0.472817491477764[/C][/ROW]
[ROW][C]75[/C][C]463[/C][C]460.714984237736[/C][C]0.0727165456493103[/C][C]2.28501576226447[/C][C]-0.618844746909385[/C][/ROW]
[ROW][C]76[/C][C]460[/C][C]461.96351166672[/C][C]0.216469654198623[/C][C]-1.96351166671955[/C][C]0.224072916997709[/C][/ROW]
[ROW][C]77[/C][C]462[/C][C]466.231179631062[/C][C]0.71200826329687[/C][C]-4.23117963106189[/C][C]0.774399137178819[/C][/ROW]
[ROW][C]78[/C][C]461[/C][C]468.149877667799[/C][C]0.859704521590386[/C][C]-7.14987766779867[/C][C]0.230700766303188[/C][/ROW]
[ROW][C]79[/C][C]476[/C][C]470.534259119806[/C][C]1.04636549355092[/C][C]5.46574088019368[/C][C]0.291194156305576[/C][/ROW]
[ROW][C]80[/C][C]476[/C][C]472.331446799772[/C][C]1.13828070839912[/C][C]3.66855320022848[/C][C]0.143283764387947[/C][/ROW]
[ROW][C]81[/C][C]471[/C][C]470.227751216171[/C][C]0.741477597215622[/C][C]0.77224878382903[/C][C]-0.618361931042568[/C][/ROW]
[ROW][C]82[/C][C]453[/C][C]457.613439884611[/C][C]-0.89264850803403[/C][C]-4.61343988461131[/C][C]-2.54673025457714[/C][/ROW]
[ROW][C]83[/C][C]443[/C][C]450.294990766958[/C][C]-1.67856596034968[/C][C]-7.2949907669579[/C][C]-1.22633383089189[/C][/ROW]
[ROW][C]84[/C][C]442[/C][C]443.169469633218[/C][C]-2.34478253898502[/C][C]-1.16946963321799[/C][C]-1.04200783037378[/C][/ROW]
[ROW][C]85[/C][C]444[/C][C]440.150113751741[/C][C]-2.42733543476285[/C][C]3.84988624825905[/C][C]-0.129145953899806[/C][/ROW]
[ROW][C]86[/C][C]438[/C][C]434.589412651668[/C][C]-2.81083748131147[/C][C]3.41058734833206[/C][C]-0.597741884616217[/C][/ROW]
[ROW][C]87[/C][C]427[/C][C]426.756398117148[/C][C]-3.42505248800154[/C][C]0.243601882851705[/C][C]-0.955282341767888[/C][/ROW]
[ROW][C]88[/C][C]424[/C][C]425.940663608999[/C][C]-3.10610261904724[/C][C]-1.94066360899923[/C][C]0.497121782484273[/C][/ROW]
[ROW][C]89[/C][C]416[/C][C]421.427165284535[/C][C]-3.27818470621251[/C][C]-5.42716528453461[/C][C]-0.26882400381483[/C][/ROW]
[ROW][C]90[/C][C]406[/C][C]414.923467592817[/C][C]-3.67277887304397[/C][C]-8.92346759281678[/C][C]-0.616406772481001[/C][/ROW]
[ROW][C]91[/C][C]431[/C][C]421.831706341288[/C][C]-2.37801479218281[/C][C]9.16829365871218[/C][C]2.02031356674395[/C][/ROW]
[ROW][C]92[/C][C]434[/C][C]426.947223948541[/C][C]-1.46109379286945[/C][C]7.05277605145949[/C][C]1.42943278590965[/C][/ROW]
[ROW][C]93[/C][C]418[/C][C]416.869559562373[/C][C]-2.51520017272952[/C][C]1.13044043762744[/C][C]-1.64257234565825[/C][/ROW]
[ROW][C]94[/C][C]412[/C][C]414.271739515864[/C][C]-2.52530406171486[/C][C]-2.27173951586367[/C][C]-0.015747501774449[/C][/ROW]
[ROW][C]95[/C][C]404[/C][C]410.366231823789[/C][C]-2.69404714138637[/C][C]-6.36623182378885[/C][C]-0.263332374531435[/C][/ROW]
[ROW][C]96[/C][C]409[/C][C]409.22075434622[/C][C]-2.50469851032565[/C][C]-0.220754346219617[/C][C]0.29602569033092[/C][/ROW]
[ROW][C]97[/C][C]412[/C][C]406.982911665032[/C][C]-2.47205423423226[/C][C]5.01708833496764[/C][C]0.0510294650765298[/C][/ROW]
[ROW][C]98[/C][C]406[/C][C]402.070506644262[/C][C]-2.77060467450632[/C][C]3.92949335573771[/C][C]-0.465403965078753[/C][/ROW]
[ROW][C]99[/C][C]398[/C][C]398.457860671294[/C][C]-2.87356026566692[/C][C]-0.457860671294424[/C][C]-0.160231321976855[/C][/ROW]
[ROW][C]100[/C][C]397[/C][C]397.556668923814[/C][C]-2.63251292740968[/C][C]-0.556668923813682[/C][C]0.375710414754938[/C][/ROW]
[ROW][C]101[/C][C]385[/C][C]391.380899274974[/C][C]-3.06561020495785[/C][C]-6.38089927497433[/C][C]-0.676378661957069[/C][/ROW]
[ROW][C]102[/C][C]390[/C][C]398.412677184335[/C][C]-1.83085258605721[/C][C]-8.41267718433503[/C][C]1.9287900953799[/C][/ROW]
[ROW][C]103[/C][C]413[/C][C]403.634772097366[/C][C]-0.968162947003074[/C][C]9.36522790263373[/C][C]1.34630156421877[/C][/ROW]
[ROW][C]104[/C][C]413[/C][C]403.594187556936[/C][C]-0.854708116535778[/C][C]9.40581244306416[/C][C]0.176881487629252[/C][/ROW]
[ROW][C]105[/C][C]401[/C][C]400.659750006732[/C][C]-1.10902864906465[/C][C]0.340249993268361[/C][C]-0.396299940547861[/C][/ROW]
[ROW][C]106[/C][C]397[/C][C]399.088927178462[/C][C]-1.16548159281065[/C][C]-2.08892717846199[/C][C]-0.087992563025745[/C][/ROW]
[ROW][C]107[/C][C]397[/C][C]402.268280572463[/C][C]-0.634446023318783[/C][C]-5.2682805724629[/C][C]0.8287398188054[/C][/ROW]
[ROW][C]108[/C][C]409[/C][C]407.333703137259[/C][C]0.062308229469326[/C][C]1.66629686274122[/C][C]1.08889843578405[/C][/ROW]
[ROW][C]109[/C][C]419[/C][C]411.858101656168[/C][C]0.607962200826045[/C][C]7.14189834383201[/C][C]0.852527948642628[/C][/ROW]
[ROW][C]110[/C][C]424[/C][C]418.024645779809[/C][C]1.28774022105419[/C][C]5.97535422019062[/C][C]1.05981250206448[/C][/ROW]
[ROW][C]111[/C][C]428[/C][C]426.508902504229[/C][C]2.16743454135471[/C][C]1.49109749577141[/C][C]1.36973309683167[/C][/ROW]
[ROW][C]112[/C][C]430[/C][C]429.944423103743[/C][C]2.32238243640613[/C][C]0.0555768962565404[/C][C]0.241526792630361[/C][/ROW]
[ROW][C]113[/C][C]424[/C][C]433.281111843845[/C][C]2.44633089993157[/C][C]-9.2811118438452[/C][C]0.193527956233552[/C][/ROW]
[ROW][C]114[/C][C]433[/C][C]441.435458174522[/C][C]3.14409920473569[/C][C]-8.43545817452165[/C][C]1.08986481447066[/C][/ROW]
[ROW][C]115[/C][C]456[/C][C]446.384278634567[/C][C]3.36476831812477[/C][C]9.61572136543327[/C][C]0.344395841259839[/C][/ROW]
[ROW][C]116[/C][C]459[/C][C]449.148678842959[/C][C]3.29136049739322[/C][C]9.8513211570414[/C][C]-0.11445405523389[/C][/ROW]
[ROW][C]117[/C][C]446[/C][C]447.352827828116[/C][C]2.66947573471673[/C][C]-1.35282782811619[/C][C]-0.96911579267617[/C][/ROW]
[ROW][C]118[/C][C]441[/C][C]445.679040622549[/C][C]2.13868614165583[/C][C]-4.67904062254922[/C][C]-0.827410190793463[/C][/ROW]
[ROW][C]119[/C][C]439[/C][C]446.253148069245[/C][C]1.94750731670341[/C][C]-7.25314806924458[/C][C]-0.298354125337589[/C][/ROW]
[ROW][C]120[/C][C]454[/C][C]452.205431961933[/C][C]2.43693597390293[/C][C]1.79456803806664[/C][C]0.764651870631468[/C][/ROW]
[ROW][C]121[/C][C]460[/C][C]454.837097114599[/C][C]2.4607415186913[/C][C]5.16290288540134[/C][C]0.0371803987763305[/C][/ROW]
[ROW][C]122[/C][C]457[/C][C]454.196684573684[/C][C]2.08161187814039[/C][C]2.80331542631626[/C][C]-0.591138382960509[/C][/ROW]
[ROW][C]123[/C][C]451[/C][C]451.469164802083[/C][C]1.49388222389752[/C][C]-0.469164802083169[/C][C]-0.915454023901634[/C][/ROW]
[ROW][C]124[/C][C]444[/C][C]446.570753653916[/C][C]0.712934872938267[/C][C]-2.57075365391579[/C][C]-1.21740888983367[/C][/ROW]
[ROW][C]125[/C][C]437[/C][C]447.588643567013[/C][C]0.750192576524574[/C][C]-10.5886435670132[/C][C]0.058161869203174[/C][/ROW]
[ROW][C]126[/C][C]443[/C][C]451.020510290082[/C][C]1.07791880795666[/C][C]-8.02051029008233[/C][C]0.511819873914855[/C][/ROW]
[ROW][C]127[/C][C]471[/C][C]458.740941773673[/C][C]1.88987724960722[/C][C]12.2590582263268[/C][C]1.26723397921852[/C][/ROW]
[ROW][C]128[/C][C]469[/C][C]458.613319582734[/C][C]1.64326669138684[/C][C]10.3866804172657[/C][C]-0.384529323267877[/C][/ROW]
[ROW][C]129[/C][C]454[/C][C]455.650326329031[/C][C]1.08033099232356[/C][C]-1.65032632903076[/C][C]-0.877323910597753[/C][/ROW]
[ROW][C]130[/C][C]444[/C][C]450.510386488516[/C][C]0.320338132477274[/C][C]-6.51038648851589[/C][C]-1.18480272773939[/C][/ROW]
[ROW][C]131[/C][C]436[/C][C]445.92693724783[/C][C]-0.278741832755345[/C][C]-9.9269372478295[/C][C]-0.93489805075211[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112835&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112835&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
1377377000
2370370.77182044338-0.364085612821178-0.771820443379732-0.819667559650175
3358360.893609121638-0.857495727577432-2.89360912163831-1.91355436444758
4357357.415620668051-0.996056511308958-0.415620668050982-0.539604561315922
5349350.83970524568-1.3543561783321-1.83970524567983-1.13564667380614
6348348.360025830901-1.44026926413622-0.360025830900925-0.226985859116976
7369364.7482234550950.1009728281021774.251776544904943.56919909301561
8381379.3929570534731.476216282089541.607042946527412.89325467655363
9368372.15219226710.595226720096757-4.15219226710039-1.72504910273599
10361363.204447308049-0.418766238031085-2.204447308049-1.88047706531214
11351353.165321518602-1.48041460255603-2.16532151860176-1.8892437940748
12351350.892383082871-1.57041605225840.107616917128553-0.155211143839857
13358351.32485023196-1.368107284544466.67514976803990.438266450244164
14354352.076002270524-1.114035257940261.923997729476480.380781257302718
15347349.954315608161-1.23557568771516-2.95431560816111-0.188602799786637
16345345.006621479103-1.68137150246395-0.00662147910329645-0.718323472570808
17343343.587009975268-1.6498889856861-0.5870099752676220.0504900209587586
18340343.61466339716-1.4471591093792-3.614663397160230.323004817281015
19362356.6896269993250.3164402777313475.310373000675482.79584782160258
20370365.6406086248831.369044945946144.359391375117121.66223839209093
21373374.0996304704162.23583511633671-1.099630470415571.36477277648142
22371373.1356180140361.84376353855187-2.13561801403576-0.615951608616155
23354360.6058709082420.081014947189498-6.60587090824167-2.76472101998357
24357357.189883569378-0.346286523988329-0.189883569377656-0.67185312408269
25363356.594075456645-0.3765630144315256.40592454335518-0.049795096296961
26364360.2355728215240.1172629992436063.764427178475780.757845195309938
27363363.812074382430.541118643961598-0.8120743824299710.649314572456457
28358359.50948449846-0.052734660459822-1.50948449846026-0.929504086686762
29357357.956856502646-0.236887098776109-0.95685650264629-0.287984504425376
30357362.4871316051390.34855666508877-5.487131605138880.913195549643585
31380373.7761420961451.69217680284276.223857903855352.09542913377379
32378376.4809473158761.816559643229431.519052684123680.194039986755237
33376376.9677230368411.65318516910728-0.967723036840695-0.25491793623416
34380378.3622620522331.621406728816121.63773794776696-0.0495799181184586
35379383.3581793870282.03569926364257-4.358179387028180.646020970100626
36384384.6974995056241.9503842862427-0.697499505623628-0.13362166335584
37392386.7819784663611.966813102896195.21802153363940.0261408019573997
38394390.366705751192.165458930816363.633294248810440.308168360185925
39392391.5849326704522.049518836930860.415067329547941-0.178795550749138
40396396.0481688788262.34498936057412-0.04816887882604750.461538675977981
41392395.6572311463162.00947837623672-3.6572311463158-0.524664089560504
42396402.5845592810252.61296206357534-6.584559281025220.941174230757757
43419411.1889088575623.348152154296087.811091142437531.14575356941826
44421418.2226450048763.80036807879812.777354995124110.704988509357126
45420421.5408739656663.74121033224067-1.54087396566616-0.092251729837293
46418419.4203452013033.02210563705586-1.42034520130258-1.12115410578939
47410416.0460671700862.23801765568379-6.04606717008585-1.22241688976023
48418418.2611139277052.23520472976684-0.261113927705485-0.00440541806308474
49426420.8810398153432.282353041943045.118960184657270.0743092737279108
50428423.7900140258642.359201281855884.209985974136070.119580913899457
51430428.9668462713612.70400928429921.033153728639090.533780219947932
52424425.6392029445561.96619549060588-1.63920294455554-1.15113009152482
53423427.794529983481.98936070280676-4.794529983480160.0362267310518663
54427434.0068827409562.5070123665471-7.006882740955970.80792065169002
55441435.1479922254122.339566535514135.85200777458842-0.261032918501219
56449443.7180242512513.103290009858075.281975748748921.19051788788743
57452450.7461213821343.58434736569211.25387861786570.749950498681144
58462459.9615216192884.274349097267692.038478380711571.0754619111606
59455462.2472564961824.03083406243002-7.24725649618191-0.379776504009806
60461462.7023220821683.59316567385327-1.70232208216846-0.685217858541987
61461458.7766028221352.672145119063282.22339717786457-1.44567609583215
62463459.4892333610392.432032659845923.51076663896065-0.374004328178865
63462459.6966477940252.159833946388932.30335220597479-0.422337765361319
64456458.57813900311.75894162609772-2.57813900310029-0.625057931716198
65455460.3843089979771.76472168977558-5.38430899797650.00903628424572416
66456462.5141352277321.80943856374319-6.514135227731870.069828509226207
67472467.0403432514982.142240123334074.959656748502170.519007671322199
68472468.5598507871332.065961830050333.4401492128667-0.118904411124607
69471471.2228399539362.1390804674289-0.2228399539361870.113962276449176
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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')