Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_structuraltimeseries.wasp
Title produced by softwareStructural Time Series Models
Date of computationMon, 25 Nov 2019 12:01:11 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2019/Nov/25/t1574679920i2gal0fag4x4krd.htm/, Retrieved Fri, 17 May 2024 06:26:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=318953, Retrieved Fri, 17 May 2024 06:26:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact90
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Structural Time Series Models] [] [2019-11-25 11:01:11] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
0.33
0.33
0.32
0.31
0.32
0.33
0.33
0.35
0.35
0.35
0.35
0.35
0.35
0.33
0.33
0.33
0.33
0.33
0.33
0.33
0.33
0.33
0.31
0.31
0.33
0.32
0.32
0.31
0.32
0.32
0.33
0.32
0.32
0.32
0.33
0.33
0.33
0.32
0.32
0.32
0.33
0.34
0.32
0.32
0.33
0.32
0.33
0.32
0.3
0.33
0.31
0.33
0.33
0.31
0.33
0.32
0.33
0.32
0.31
0.33
0.33
0.33
0.33
0.32
0.32
0.32
0.37
0.32
0.31
0.32
0.32
0.31
0.31
0.31
0.33
0.33
0.31
0.4
0.32
0.33
0.33
0.32
0.32
0.32
0.32
0.32
0.32
0.32
0.32
0.32
0.31
0.33
0.31
0.33
0.35
0.31
0.33
0.31
0.31
0.32
0.34
0.32
0.32
0.32
0.34
0.31
0.31
0.31
0.31
0.31
0.31
0.33
0.34
0.34
0.34
0.33
0.34
0.35
0.31
0.31
0.3
0.32
0.33
0.32
0.33
0.32
0.31
0.33
0.33
0.32
0.32
0.33
0.33
0.33
0.31
0.32
0.32
0.32
0.32
0.31
0.33
0.35
0.33
0.36
0.32
0.33
0.32
0.33
0.32
0.32
0.32
0.32
0.33
0.36
0.33
0.33
0.32
0.31
0.33
0.32
0.33
0.32
0.32
0.43
0.32
0.32
0.32
0.32
0.33
0.33
0.34
0.32
0.32
0.31
0.32
0.33
0.32
0.32
0.32
0.32
0.34
0.31
0.32
0.32
0.31
0.33
0.32
0.32
0.33
0.32
0.32
0.32
0.32
0.33
0.32
0.31
0.32
0.32
0.32
0.31




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time2 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=318953&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]2 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=318953&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=318953&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R ServerBig Analytics Cloud Computing Center







Structural Time Series Model -- Interpolation
tObservedLevelSlopeSeasonalStand. Residuals
10.330.33000
20.330.33000
30.320.325547553463312-0.00110958808084052-0.00112672123192428-0.47806646419675
40.310.319489494682229-0.00209551815660692-0.00211520701343752-0.712980987225531
50.320.318914356106884-0.00184326867045817-0.001824278700909190.265678712512504
60.330.317927574775784-0.001727412504267520.0069136158143450.385556332008392
70.330.321294101507454-0.00109240114621218-0.001030759435132150.883769843229638
80.350.328950509092068-0.000123703428388541-1.79700821684064e-051.83498504851481
90.350.3342013361553070.0004113993146101930.0004243161755959081.30348766695753
100.350.3380353969034060.0007209044498898520.0007431987054779780.933399760306686
110.350.3408923260073710.000888487910115096-0.003458860595163990.957876481425452
120.350.343403168146450.001013087653328150.0009542283378335940.465690733468965
130.350.3453238967363130.001077763018844740.001137665529675480.288228122881511
140.330.3431774916986940.000863572631638880.000705476545119915-1.11880424368867
150.330.3414635958757670.0007032434349347430.00064026792068157-0.966928629669423
160.330.3409497460669870.000636650789609086-0.00252855696861271-0.641613198343281
170.330.3395814317079630.0005253072221367820.000402159141959657-0.79367022194103
180.330.3384323840363470.0004372701879279430.000515098204260756-0.707104994997097
190.330.337514128119770.0003696446538933970.000228435677726914-0.608525464677166
200.330.3367317437833360.0003149970655384310.000265166954074665-0.547223354350822
210.330.3363958085775840.000287802670083691-0.00113613716626713-0.399443625854724
220.330.3357582715882790.000247544152747250.000150206868733676-0.460766508966378
230.310.332633361947130.000106947449010842-3.6582142589533e-05-1.75664703717846
240.310.329937566238519-5.0752440757108e-06-0.000228367468630077-1.52716982155655
250.330.329926477421432-5.30585792018011e-060.000117823760981303-0.00342188294861075
260.320.328945957830631-3.81492688436122e-053.15586390247379e-05-0.679771044574529
270.320.327885487318935-7.4715148932067e-05-3.58478194986138e-05-0.605298038396251
280.310.325857378830169-0.000142216835045354-0.000332436724954595-1.19497586211206
290.320.325134185724575-0.000161596952790067-0.000343885509355906-0.367931474556228
300.320.324453354321986-0.000178311047199377-1.13471083119103e-05-0.340425916768178
310.330.324722709676208-0.0001657057144136040.0006905522730373720.346517055381446
320.320.324105467740655-0.000179417247085945-0.000108995824361364-0.305993391638991
330.320.323572648385258-0.000189849788383594-0.000364704087804106-0.245351385732904
340.320.323091147584375-0.000198201490669582-0.000366272681150137-0.208097353861869
350.330.323553105541406-0.000179890465223818.9830797223234e-050.484679797157732
360.330.323852524042372-0.0001683041519225040.0007868412251784520.404324824003182
370.330.324262893843623-0.0001530384504918436.87508683091419e-060.436683001605818
380.320.323778520431074-0.000161578521114406-0.000435697593435177-0.254580110710912
390.320.323335096484495-0.000168651137292255-0.000425038795915294-0.221384286932312
400.320.322892099895422-0.0001753359038970111.3478481478181e-05-0.220753212690523
410.330.32320946455177-0.0001649035242470020.0008693379155404180.446104597371942
420.340.324448613346697-0.0001321660670122010.0003350735682922821.155875043968
430.320.324007946791838-0.000139224262636535-0.000618276505590315-0.257393741380428
440.320.323585458945428-0.000145551814915491-0.000413829215963564-0.240642780837309
450.330.323955274129516-0.000134355958274830.0001467228618179590.447018156149991
460.320.323509586942648-0.0001402225328922850.000460461823251767-0.298882263333826
470.330.323849211375143-0.0001302001767340530.0005537889968195780.424216247500433
480.320.323483578532018-0.000135043669450164-0.000709831001182807-0.210193806148133
490.30.321622831845106-0.000169785524136517-0.000972111911828439-1.5639314808795
500.330.322056603844674-0.0001579578774311850.0005812441207846710.55704109727526
510.310.321061673722448-0.0001721747262823950.000149095009241816-0.843601009188245
520.330.321502113419014-0.0001605889737458780.0009060907204498190.574504046803772
530.330.32200960578367-0.000148101301381415-0.000347779141977310.630953228696827
540.310.32109500886023-0.000162147806781871-0.00140307149405786-0.733032515496411
550.330.3215133817241-0.0001517877087625260.001020105872573810.564262458480467
560.320.321279470916796-0.000153058490355747-0.000133406227589622-0.0862174309431377
570.330.321685410552772-0.0001434015686023370.001029116821846810.550707350171192
580.320.321457355777815-0.000144851513933317-0.000348732752316981-0.083804020361342
590.310.32063953729616-0.000156170002347626-0.00172877976841362-0.673323386126446
600.330.321048197664633-0.0001469177109408610.001357101043635580.573467201933548
610.330.321498460636852-0.000138424947839268-0.0001247472482099910.648867454181598
620.330.32187372319585-0.0001302589475347560.001141850910583450.527530949486136
630.330.322313310601428-0.000121251412236027-8.47220461310181e-050.587034653781128
640.320.322173727568226-0.000121536327012382-0.00192136858670553-0.0190564525123545
650.320.321837484074471-0.0001247860256297780.00115994754833223-0.226199105940203
660.320.321621850498344-0.00012598227335335-0.000270692874007094-0.101631351739462
670.370.324550378587356-8.10207713036208e-050.002402144500262753.24951469666272
680.320.324223363089427-8.46309174642657e-05-0.000751023376481844-0.262156342914092
690.310.323353950515655-9.59683427275099e-05-0.00218659803450812-0.84289185692672
700.320.322970081819505-0.0001000175118686450.00117990067139608-0.313047145672937
710.320.32275280650045-0.000101456186327953-0.000964906899473741-0.134488189622328
720.310.3217055548361-0.0001144164142599750.00203824376288751-1.03705707195261
730.310.320893030851421-0.000123977558470173-0.000743859415792024-0.765964656953162
740.310.320224443792907-0.000131327386222228-0.00225126211140003-0.601605776712315
750.330.320619210377757-0.00012441791740620.001585915331382260.587828501693188
760.330.321097874769914-0.000117485740963498-0.0004921957580266870.706716872510318
770.310.320186866428689-0.0001276556057331320.00165234493369255-0.893090212874942
780.40.324955730813522-6.47915719987069e-050.002021102835784755.50967585554017
790.320.324800507931023-6.59366226043455e-05-0.00344361650014873-0.10235934614833
800.330.324964988794571-6.30985882426091e-050.001538801498153620.263607264119766
810.330.325230903343745-5.95388444133093e-05-0.0004517784093101830.392802977987276
820.320.324836229049183-6.35724633188056e-050.000279649790799103-0.385839593099311
830.320.324362620882088-6.8526497720878e-050.00188946175448389-0.471640796210138
840.320.324241403503833-6.91548576398075e-05-0.00343366399370411-0.060923785945097
850.320.32384009632272-7.30061368936847e-050.00130544461264613-0.387916435701105
860.320.323567545165677-7.50466286849298e-05-0.000349548449171469-0.242144995999793
870.320.323263224104829-7.76475314914197e-050.000307347561427924-0.269255881101942
880.320.322884604745164-8.10813790570014e-050.00179459330896294-0.352942330533312
890.320.322831113896032-8.07704508593135e-05-0.003262106563835670.0325042956184255
900.320.322513308529278-8.33664755688982e-050.00122622468227903-0.281898190288276
910.310.321747617476533-8.99845083241227e-05-0.000586707505149099-0.839945539498546
920.330.322103839179172-8.51981598147113e-050.0008239359752016270.533265809376861
930.310.321230507134412-9.37154512253527e-050.00123467151719116-0.940142921572856
940.330.321816025903646-8.64603198373623e-05-0.00260438530086950.813574373232429
950.350.323263457938991-7.05444184849813e-050.002144713295028251.85373588482876
960.310.322528856773555-7.66729629221193e-05-0.00152947589894377-0.827907580103767
970.330.322813741008372-7.29949828982336e-050.001365753171766130.438856376683534
980.310.321965923448378-8.09481215807324e-050.000477014508333025-0.938412128155631
990.310.321372318402923-8.6152166439173e-05-0.00310829160416573-0.623182782934974
1000.320.321076195034583-8.82219164291926e-050.00233865263318989-0.257407032746597
1010.340.322105209752272-7.83834959857832e-05-0.0008192370097696621.40877475557803
1020.320.321842049431632-8.01707456612101e-050.00117412128235834-0.22740566978114
1030.320.321627997863088-8.14792016807161e-050.000551511967653483-0.164366498624298
1040.320.321629984755753-8.06720404196733e-05-0.002993403542932890.102811642808664
1050.340.322457059664571-7.21505397673711e-050.002589718166324881.1271520977043
1060.310.321772546204541-7.73087372486971e-05-0.00141189626554997-0.780044374602296
1070.310.320977356574957-8.39268248382409e-050.000887375943425031-0.894527461255377
1080.310.320253313436844-8.98967972510369e-050.000295926914230104-0.795545818659407
1090.310.319771041635699-9.35195312829898e-05-0.00328470346885197-0.48911028145657
1100.310.318989575438996-9.96837060251186e-050.00247405632884114-0.864117611054608
1110.310.318464421698139-0.000103119554978808-0.00120042998648401-0.546968306071007
1120.330.318927584306148-9.81329887923122e-050.0016078901006460.713558190970702
1130.340.319968596398305-8.79741049842977e-050.00104902410414661.43148875512345
1140.340.321160625787475-7.66684676659091e-05-0.00254983933775561.61286957163922
1150.340.32198870133875-6.89147974784369e-050.002777474970042361.14832530156797
1160.330.322443007868607-6.48560127308503e-05-0.001449462322531070.678252209155854
1170.340.323271896310264-5.73235410759423e-050.001638500862088851.13764306688276
1180.350.324640851802611-4.51384120692108e-050.001351850052760651.8104066814154
1190.310.323985098710205-5.03072158985207e-05-0.00368100269994296-0.776986152684951
1200.310.323044691233336-5.76169493044691e-050.00208470676928664-1.1404710754771
1210.30.321858862572994-6.60392720946714e-05-0.00229270328009999-1.47363275485624
1220.320.32161061942188-6.75117007869984e-050.001494087426577-0.234071296927687
1230.330.321906452514218-6.45328935663126e-050.001921332007402910.465447555331825
1240.320.321928600459906-6.3828507733977e-05-0.003404491004021650.111290287581908
1250.330.322169477024097-6.1426477389146e-050.002606558968365680.393794614999779
1260.320.322121125832039-6.13323891723786e-05-0.002349443324444980.0171974835591854
1270.310.321349367929581-6.68465958041303e-050.000858274170010023-0.920363799870413
1280.330.321634423090775-6.4073761241531e-050.002337320150184560.454588811707753
1290.330.322205686811751-5.91098275814049e-05-0.003112550965636450.822437442637103
1300.320.321905293053911-6.09386075471106e-050.00226407786484129-0.314301774438575
1310.320.321858212688733-6.08423392296641e-05-0.002101730424594440.0183440031410355
1320.330.322190164435763-5.7909436424879e-050.001008041074780920.512804299057719
1330.330.322439021472465-5.55828474860168e-050.002265173197207360.399352435626817
1340.330.322949310000649-5.13259554419167e-05-0.002737281414451860.738065987759128
1350.310.32211654904729-5.70290064591569e-050.00148470357013454-1.02532424191655
1360.320.322058752843381-5.70341583443594e-05-0.00204519299946305-0.00102153185099913
1370.320.321849195960554-5.81313104868921e-050.000810733306357414-0.200538825311421
1380.320.321583388141178-5.96493856799132e-050.00202742844340782-0.272286888472044
1390.320.32157096870939-5.93068379793316e-05-0.002393628540993340.0620328452744698
1400.310.320836584590239-6.40574619518798e-050.000992149065638287-0.891714104394397
1410.330.32133621871817-6.03936935060053e-05-0.001353030149884610.754669004490735
1420.350.3227259681985-5.03306345046354e-050.001818272144489211.91917334223415
1430.330.322973791706289-4.82274108116577e-050.001807989910600560.393495666758738
1440.360.324972065305237-3.38995978477259e-05-0.000849299950360082.70531896324689
1450.320.324679138685951-3.56594870504746e-05-0.000112348711108337-0.344272529380375
1460.330.325014230403918-3.33244333203798e-05-0.001635588929810430.498884747032399
1470.320.324647504157711-3.55591448999817e-050.00124055200023205-0.443914366111751
1480.330.324824764294304-3.41086948914321e-050.001427662117659850.282594412266066
1490.320.324586805669686-3.54879461523295e-05-0.000991611914028618-0.271093447570131
1500.320.324326006709624-3.69676982829811e-05-0.000330831701489613-0.301182607972082
1510.320.324145234248481-3.78462706492632e-05-0.00156494512794491-0.194421439891591
1520.320.32383324124565-3.9623250930055e-050.00103562393542516-0.367073783787597
1530.330.324030167704047-3.80639232129952e-050.001780591117362780.315895679985238
1540.360.325887745659612-2.56553247902296e-050.0004925418006360062.53505260943293
1550.330.326117510377184-2.40319553113209e-05-0.0006707698717467550.343255898873261
1560.330.326377450654256-2.23473499350962e-05-0.001495102820258720.385625740922509
1570.320.325994576395686-2.46097127547422e-050.000441993986197687-0.485263580978016
1580.310.325090284510536-3.0224207494261e-050.000571708339451534-1.18099883565682
1590.330.325277072699347-2.88485046133535e-050.0008540286131342530.291726349219522
1600.320.325019679910754-3.02556778777567e-05-0.000925224791499209-0.308668306969617
1610.330.32530421353686-2.84407556690169e-05-0.001000567836774930.429248480407868
1620.320.324976575050984-3.02602773775228e-050.000391217739557337-0.404683647358338
1630.320.324664953407675-3.20006387669958e-050.000369411070194032-0.379612444721481
1640.430.3299295681489575.47508856012238e-070.005180292100311647.15490370840769
1650.320.32956211635547-1.64969353425812e-06-0.00293856832163441-0.499327823466281
1660.320.329139772999301-4.00903211888924e-06-0.00149756506972765-0.575896504651187
1670.320.328662168096099-6.80288463737694e-06-0.000126663691363427-0.643494787806564
1680.320.32827482002676-9.0862075449564e-06-0.00143396892915987-0.515820395600686
1690.330.328076474740014-1.02146066099671e-050.00532970474093723-0.2568288343225
1700.330.328298322002331-8.86974301292665e-06-0.002493384533077410.316250748450457
1710.340.328942400930788-5.30493878566103e-06-0.0008469071041754440.897115438282417
1720.320.328498722710937-7.81586362881539e-06-0.000564117213134653-0.598186127655009
1730.320.328128638941057-9.92619716564194e-06-0.00158778300702412-0.493190653324497
1740.310.326938030796625-1.67619429486542e-050.00440284024162938-1.60909297428777
1750.320.326688364552485-1.80731928879487e-05-0.00246082308319625-0.318697029551902
1760.330.326860738020418-1.70602465766704e-05-0.000344892667005210.262569017017032
1770.320.326520954656314-1.88565863030606e-05-0.000656079037100284-0.442144504145462
1780.320.32623100744582-2.03910256080208e-05-0.00131618304536167-0.370577880537124
1790.320.3256702744015-2.34313348779983e-050.00413607006999039-0.739380778146952
1800.320.32548003803762-2.4344420006342e-05-0.00244062086912417-0.229127130488945
1810.340.326182647173663-2.05749495258223e-050.0004746965474723571.00553091815147
1820.310.3253933006622-2.47367210919291e-05-0.00136933006116456-1.05723168016087
1830.320.325147089885834-2.59557313779645e-05-0.00111618332506024-0.303923909326408
1840.320.324652834808779-2.85184416339319e-050.00387858312400218-0.643240800642378
1850.310.324018839770269-3.17434770698996e-05-0.00294613907490757-0.834708740037389
1860.330.324235361058459-3.04876334887986e-050.001193874426808510.344466677302348
1870.320.324060066250909-3.12506396221142e-05-0.00140903378368994-0.199851473593758
1880.320.323872360554117-3.20886350950746e-05-0.00101436234116638-0.215483597016504
1890.330.323941785921173-3.15479517483648e-050.00420215745447270.13993757942979
1900.320.323866961679262-3.17724147325812e-05-0.00307282807988722-0.0598645031465069
1910.320.323583884336593-3.3013318286207e-050.00105640844725737-0.349709424127856
1920.320.323438430340599-3.35903970838557e-05-0.00137298410063691-0.155703644369349
1930.320.323284967929592-3.42156272571923e-05-0.00108763263776559-0.16566786142819
1940.330.323372950075283-3.35817281877198e-050.004385172426569340.169022791295535
1950.320.323323028578261-3.36643137042421e-05-0.00302221576588436-0.0226759686666664
1960.310.322581989130123-3.70759145699185e-050.000515937671421643-0.987112403460824
1970.320.322474154490559-3.74298838742713e-05-0.00117021602219322-0.098295594781324
1980.320.322368038616738-3.77789826051339e-05-0.00110483496026891-0.0952367544458774
1990.320.321993812350801-3.94799578869943e-050.00419876200923472-0.466868349209163
2000.310.321496603822122-4.17358552286402e-05-0.00304398510513154-0.637167886028056

\begin{tabular}{lllllllll}
\hline
Structural Time Series Model -- Interpolation \tabularnewline
t & Observed & Level & Slope & Seasonal & Stand. Residuals \tabularnewline
1 & 0.33 & 0.33 & 0 & 0 & 0 \tabularnewline
2 & 0.33 & 0.33 & 0 & 0 & 0 \tabularnewline
3 & 0.32 & 0.325547553463312 & -0.00110958808084052 & -0.00112672123192428 & -0.47806646419675 \tabularnewline
4 & 0.31 & 0.319489494682229 & -0.00209551815660692 & -0.00211520701343752 & -0.712980987225531 \tabularnewline
5 & 0.32 & 0.318914356106884 & -0.00184326867045817 & -0.00182427870090919 & 0.265678712512504 \tabularnewline
6 & 0.33 & 0.317927574775784 & -0.00172741250426752 & 0.006913615814345 & 0.385556332008392 \tabularnewline
7 & 0.33 & 0.321294101507454 & -0.00109240114621218 & -0.00103075943513215 & 0.883769843229638 \tabularnewline
8 & 0.35 & 0.328950509092068 & -0.000123703428388541 & -1.79700821684064e-05 & 1.83498504851481 \tabularnewline
9 & 0.35 & 0.334201336155307 & 0.000411399314610193 & 0.000424316175595908 & 1.30348766695753 \tabularnewline
10 & 0.35 & 0.338035396903406 & 0.000720904449889852 & 0.000743198705477978 & 0.933399760306686 \tabularnewline
11 & 0.35 & 0.340892326007371 & 0.000888487910115096 & -0.00345886059516399 & 0.957876481425452 \tabularnewline
12 & 0.35 & 0.34340316814645 & 0.00101308765332815 & 0.000954228337833594 & 0.465690733468965 \tabularnewline
13 & 0.35 & 0.345323896736313 & 0.00107776301884474 & 0.00113766552967548 & 0.288228122881511 \tabularnewline
14 & 0.33 & 0.343177491698694 & 0.00086357263163888 & 0.000705476545119915 & -1.11880424368867 \tabularnewline
15 & 0.33 & 0.341463595875767 & 0.000703243434934743 & 0.00064026792068157 & -0.966928629669423 \tabularnewline
16 & 0.33 & 0.340949746066987 & 0.000636650789609086 & -0.00252855696861271 & -0.641613198343281 \tabularnewline
17 & 0.33 & 0.339581431707963 & 0.000525307222136782 & 0.000402159141959657 & -0.79367022194103 \tabularnewline
18 & 0.33 & 0.338432384036347 & 0.000437270187927943 & 0.000515098204260756 & -0.707104994997097 \tabularnewline
19 & 0.33 & 0.33751412811977 & 0.000369644653893397 & 0.000228435677726914 & -0.608525464677166 \tabularnewline
20 & 0.33 & 0.336731743783336 & 0.000314997065538431 & 0.000265166954074665 & -0.547223354350822 \tabularnewline
21 & 0.33 & 0.336395808577584 & 0.000287802670083691 & -0.00113613716626713 & -0.399443625854724 \tabularnewline
22 & 0.33 & 0.335758271588279 & 0.00024754415274725 & 0.000150206868733676 & -0.460766508966378 \tabularnewline
23 & 0.31 & 0.33263336194713 & 0.000106947449010842 & -3.6582142589533e-05 & -1.75664703717846 \tabularnewline
24 & 0.31 & 0.329937566238519 & -5.0752440757108e-06 & -0.000228367468630077 & -1.52716982155655 \tabularnewline
25 & 0.33 & 0.329926477421432 & -5.30585792018011e-06 & 0.000117823760981303 & -0.00342188294861075 \tabularnewline
26 & 0.32 & 0.328945957830631 & -3.81492688436122e-05 & 3.15586390247379e-05 & -0.679771044574529 \tabularnewline
27 & 0.32 & 0.327885487318935 & -7.4715148932067e-05 & -3.58478194986138e-05 & -0.605298038396251 \tabularnewline
28 & 0.31 & 0.325857378830169 & -0.000142216835045354 & -0.000332436724954595 & -1.19497586211206 \tabularnewline
29 & 0.32 & 0.325134185724575 & -0.000161596952790067 & -0.000343885509355906 & -0.367931474556228 \tabularnewline
30 & 0.32 & 0.324453354321986 & -0.000178311047199377 & -1.13471083119103e-05 & -0.340425916768178 \tabularnewline
31 & 0.33 & 0.324722709676208 & -0.000165705714413604 & 0.000690552273037372 & 0.346517055381446 \tabularnewline
32 & 0.32 & 0.324105467740655 & -0.000179417247085945 & -0.000108995824361364 & -0.305993391638991 \tabularnewline
33 & 0.32 & 0.323572648385258 & -0.000189849788383594 & -0.000364704087804106 & -0.245351385732904 \tabularnewline
34 & 0.32 & 0.323091147584375 & -0.000198201490669582 & -0.000366272681150137 & -0.208097353861869 \tabularnewline
35 & 0.33 & 0.323553105541406 & -0.00017989046522381 & 8.9830797223234e-05 & 0.484679797157732 \tabularnewline
36 & 0.33 & 0.323852524042372 & -0.000168304151922504 & 0.000786841225178452 & 0.404324824003182 \tabularnewline
37 & 0.33 & 0.324262893843623 & -0.000153038450491843 & 6.87508683091419e-06 & 0.436683001605818 \tabularnewline
38 & 0.32 & 0.323778520431074 & -0.000161578521114406 & -0.000435697593435177 & -0.254580110710912 \tabularnewline
39 & 0.32 & 0.323335096484495 & -0.000168651137292255 & -0.000425038795915294 & -0.221384286932312 \tabularnewline
40 & 0.32 & 0.322892099895422 & -0.000175335903897011 & 1.3478481478181e-05 & -0.220753212690523 \tabularnewline
41 & 0.33 & 0.32320946455177 & -0.000164903524247002 & 0.000869337915540418 & 0.446104597371942 \tabularnewline
42 & 0.34 & 0.324448613346697 & -0.000132166067012201 & 0.000335073568292282 & 1.155875043968 \tabularnewline
43 & 0.32 & 0.324007946791838 & -0.000139224262636535 & -0.000618276505590315 & -0.257393741380428 \tabularnewline
44 & 0.32 & 0.323585458945428 & -0.000145551814915491 & -0.000413829215963564 & -0.240642780837309 \tabularnewline
45 & 0.33 & 0.323955274129516 & -0.00013435595827483 & 0.000146722861817959 & 0.447018156149991 \tabularnewline
46 & 0.32 & 0.323509586942648 & -0.000140222532892285 & 0.000460461823251767 & -0.298882263333826 \tabularnewline
47 & 0.33 & 0.323849211375143 & -0.000130200176734053 & 0.000553788996819578 & 0.424216247500433 \tabularnewline
48 & 0.32 & 0.323483578532018 & -0.000135043669450164 & -0.000709831001182807 & -0.210193806148133 \tabularnewline
49 & 0.3 & 0.321622831845106 & -0.000169785524136517 & -0.000972111911828439 & -1.5639314808795 \tabularnewline
50 & 0.33 & 0.322056603844674 & -0.000157957877431185 & 0.000581244120784671 & 0.55704109727526 \tabularnewline
51 & 0.31 & 0.321061673722448 & -0.000172174726282395 & 0.000149095009241816 & -0.843601009188245 \tabularnewline
52 & 0.33 & 0.321502113419014 & -0.000160588973745878 & 0.000906090720449819 & 0.574504046803772 \tabularnewline
53 & 0.33 & 0.32200960578367 & -0.000148101301381415 & -0.00034777914197731 & 0.630953228696827 \tabularnewline
54 & 0.31 & 0.32109500886023 & -0.000162147806781871 & -0.00140307149405786 & -0.733032515496411 \tabularnewline
55 & 0.33 & 0.3215133817241 & -0.000151787708762526 & 0.00102010587257381 & 0.564262458480467 \tabularnewline
56 & 0.32 & 0.321279470916796 & -0.000153058490355747 & -0.000133406227589622 & -0.0862174309431377 \tabularnewline
57 & 0.33 & 0.321685410552772 & -0.000143401568602337 & 0.00102911682184681 & 0.550707350171192 \tabularnewline
58 & 0.32 & 0.321457355777815 & -0.000144851513933317 & -0.000348732752316981 & -0.083804020361342 \tabularnewline
59 & 0.31 & 0.32063953729616 & -0.000156170002347626 & -0.00172877976841362 & -0.673323386126446 \tabularnewline
60 & 0.33 & 0.321048197664633 & -0.000146917710940861 & 0.00135710104363558 & 0.573467201933548 \tabularnewline
61 & 0.33 & 0.321498460636852 & -0.000138424947839268 & -0.000124747248209991 & 0.648867454181598 \tabularnewline
62 & 0.33 & 0.32187372319585 & -0.000130258947534756 & 0.00114185091058345 & 0.527530949486136 \tabularnewline
63 & 0.33 & 0.322313310601428 & -0.000121251412236027 & -8.47220461310181e-05 & 0.587034653781128 \tabularnewline
64 & 0.32 & 0.322173727568226 & -0.000121536327012382 & -0.00192136858670553 & -0.0190564525123545 \tabularnewline
65 & 0.32 & 0.321837484074471 & -0.000124786025629778 & 0.00115994754833223 & -0.226199105940203 \tabularnewline
66 & 0.32 & 0.321621850498344 & -0.00012598227335335 & -0.000270692874007094 & -0.101631351739462 \tabularnewline
67 & 0.37 & 0.324550378587356 & -8.10207713036208e-05 & 0.00240214450026275 & 3.24951469666272 \tabularnewline
68 & 0.32 & 0.324223363089427 & -8.46309174642657e-05 & -0.000751023376481844 & -0.262156342914092 \tabularnewline
69 & 0.31 & 0.323353950515655 & -9.59683427275099e-05 & -0.00218659803450812 & -0.84289185692672 \tabularnewline
70 & 0.32 & 0.322970081819505 & -0.000100017511868645 & 0.00117990067139608 & -0.313047145672937 \tabularnewline
71 & 0.32 & 0.32275280650045 & -0.000101456186327953 & -0.000964906899473741 & -0.134488189622328 \tabularnewline
72 & 0.31 & 0.3217055548361 & -0.000114416414259975 & 0.00203824376288751 & -1.03705707195261 \tabularnewline
73 & 0.31 & 0.320893030851421 & -0.000123977558470173 & -0.000743859415792024 & -0.765964656953162 \tabularnewline
74 & 0.31 & 0.320224443792907 & -0.000131327386222228 & -0.00225126211140003 & -0.601605776712315 \tabularnewline
75 & 0.33 & 0.320619210377757 & -0.0001244179174062 & 0.00158591533138226 & 0.587828501693188 \tabularnewline
76 & 0.33 & 0.321097874769914 & -0.000117485740963498 & -0.000492195758026687 & 0.706716872510318 \tabularnewline
77 & 0.31 & 0.320186866428689 & -0.000127655605733132 & 0.00165234493369255 & -0.893090212874942 \tabularnewline
78 & 0.4 & 0.324955730813522 & -6.47915719987069e-05 & 0.00202110283578475 & 5.50967585554017 \tabularnewline
79 & 0.32 & 0.324800507931023 & -6.59366226043455e-05 & -0.00344361650014873 & -0.10235934614833 \tabularnewline
80 & 0.33 & 0.324964988794571 & -6.30985882426091e-05 & 0.00153880149815362 & 0.263607264119766 \tabularnewline
81 & 0.33 & 0.325230903343745 & -5.95388444133093e-05 & -0.000451778409310183 & 0.392802977987276 \tabularnewline
82 & 0.32 & 0.324836229049183 & -6.35724633188056e-05 & 0.000279649790799103 & -0.385839593099311 \tabularnewline
83 & 0.32 & 0.324362620882088 & -6.8526497720878e-05 & 0.00188946175448389 & -0.471640796210138 \tabularnewline
84 & 0.32 & 0.324241403503833 & -6.91548576398075e-05 & -0.00343366399370411 & -0.060923785945097 \tabularnewline
85 & 0.32 & 0.32384009632272 & -7.30061368936847e-05 & 0.00130544461264613 & -0.387916435701105 \tabularnewline
86 & 0.32 & 0.323567545165677 & -7.50466286849298e-05 & -0.000349548449171469 & -0.242144995999793 \tabularnewline
87 & 0.32 & 0.323263224104829 & -7.76475314914197e-05 & 0.000307347561427924 & -0.269255881101942 \tabularnewline
88 & 0.32 & 0.322884604745164 & -8.10813790570014e-05 & 0.00179459330896294 & -0.352942330533312 \tabularnewline
89 & 0.32 & 0.322831113896032 & -8.07704508593135e-05 & -0.00326210656383567 & 0.0325042956184255 \tabularnewline
90 & 0.32 & 0.322513308529278 & -8.33664755688982e-05 & 0.00122622468227903 & -0.281898190288276 \tabularnewline
91 & 0.31 & 0.321747617476533 & -8.99845083241227e-05 & -0.000586707505149099 & -0.839945539498546 \tabularnewline
92 & 0.33 & 0.322103839179172 & -8.51981598147113e-05 & 0.000823935975201627 & 0.533265809376861 \tabularnewline
93 & 0.31 & 0.321230507134412 & -9.37154512253527e-05 & 0.00123467151719116 & -0.940142921572856 \tabularnewline
94 & 0.33 & 0.321816025903646 & -8.64603198373623e-05 & -0.0026043853008695 & 0.813574373232429 \tabularnewline
95 & 0.35 & 0.323263457938991 & -7.05444184849813e-05 & 0.00214471329502825 & 1.85373588482876 \tabularnewline
96 & 0.31 & 0.322528856773555 & -7.66729629221193e-05 & -0.00152947589894377 & -0.827907580103767 \tabularnewline
97 & 0.33 & 0.322813741008372 & -7.29949828982336e-05 & 0.00136575317176613 & 0.438856376683534 \tabularnewline
98 & 0.31 & 0.321965923448378 & -8.09481215807324e-05 & 0.000477014508333025 & -0.938412128155631 \tabularnewline
99 & 0.31 & 0.321372318402923 & -8.6152166439173e-05 & -0.00310829160416573 & -0.623182782934974 \tabularnewline
100 & 0.32 & 0.321076195034583 & -8.82219164291926e-05 & 0.00233865263318989 & -0.257407032746597 \tabularnewline
101 & 0.34 & 0.322105209752272 & -7.83834959857832e-05 & -0.000819237009769662 & 1.40877475557803 \tabularnewline
102 & 0.32 & 0.321842049431632 & -8.01707456612101e-05 & 0.00117412128235834 & -0.22740566978114 \tabularnewline
103 & 0.32 & 0.321627997863088 & -8.14792016807161e-05 & 0.000551511967653483 & -0.164366498624298 \tabularnewline
104 & 0.32 & 0.321629984755753 & -8.06720404196733e-05 & -0.00299340354293289 & 0.102811642808664 \tabularnewline
105 & 0.34 & 0.322457059664571 & -7.21505397673711e-05 & 0.00258971816632488 & 1.1271520977043 \tabularnewline
106 & 0.31 & 0.321772546204541 & -7.73087372486971e-05 & -0.00141189626554997 & -0.780044374602296 \tabularnewline
107 & 0.31 & 0.320977356574957 & -8.39268248382409e-05 & 0.000887375943425031 & -0.894527461255377 \tabularnewline
108 & 0.31 & 0.320253313436844 & -8.98967972510369e-05 & 0.000295926914230104 & -0.795545818659407 \tabularnewline
109 & 0.31 & 0.319771041635699 & -9.35195312829898e-05 & -0.00328470346885197 & -0.48911028145657 \tabularnewline
110 & 0.31 & 0.318989575438996 & -9.96837060251186e-05 & 0.00247405632884114 & -0.864117611054608 \tabularnewline
111 & 0.31 & 0.318464421698139 & -0.000103119554978808 & -0.00120042998648401 & -0.546968306071007 \tabularnewline
112 & 0.33 & 0.318927584306148 & -9.81329887923122e-05 & 0.001607890100646 & 0.713558190970702 \tabularnewline
113 & 0.34 & 0.319968596398305 & -8.79741049842977e-05 & 0.0010490241041466 & 1.43148875512345 \tabularnewline
114 & 0.34 & 0.321160625787475 & -7.66684676659091e-05 & -0.0025498393377556 & 1.61286957163922 \tabularnewline
115 & 0.34 & 0.32198870133875 & -6.89147974784369e-05 & 0.00277747497004236 & 1.14832530156797 \tabularnewline
116 & 0.33 & 0.322443007868607 & -6.48560127308503e-05 & -0.00144946232253107 & 0.678252209155854 \tabularnewline
117 & 0.34 & 0.323271896310264 & -5.73235410759423e-05 & 0.00163850086208885 & 1.13764306688276 \tabularnewline
118 & 0.35 & 0.324640851802611 & -4.51384120692108e-05 & 0.00135185005276065 & 1.8104066814154 \tabularnewline
119 & 0.31 & 0.323985098710205 & -5.03072158985207e-05 & -0.00368100269994296 & -0.776986152684951 \tabularnewline
120 & 0.31 & 0.323044691233336 & -5.76169493044691e-05 & 0.00208470676928664 & -1.1404710754771 \tabularnewline
121 & 0.3 & 0.321858862572994 & -6.60392720946714e-05 & -0.00229270328009999 & -1.47363275485624 \tabularnewline
122 & 0.32 & 0.32161061942188 & -6.75117007869984e-05 & 0.001494087426577 & -0.234071296927687 \tabularnewline
123 & 0.33 & 0.321906452514218 & -6.45328935663126e-05 & 0.00192133200740291 & 0.465447555331825 \tabularnewline
124 & 0.32 & 0.321928600459906 & -6.3828507733977e-05 & -0.00340449100402165 & 0.111290287581908 \tabularnewline
125 & 0.33 & 0.322169477024097 & -6.1426477389146e-05 & 0.00260655896836568 & 0.393794614999779 \tabularnewline
126 & 0.32 & 0.322121125832039 & -6.13323891723786e-05 & -0.00234944332444498 & 0.0171974835591854 \tabularnewline
127 & 0.31 & 0.321349367929581 & -6.68465958041303e-05 & 0.000858274170010023 & -0.920363799870413 \tabularnewline
128 & 0.33 & 0.321634423090775 & -6.4073761241531e-05 & 0.00233732015018456 & 0.454588811707753 \tabularnewline
129 & 0.33 & 0.322205686811751 & -5.91098275814049e-05 & -0.00311255096563645 & 0.822437442637103 \tabularnewline
130 & 0.32 & 0.321905293053911 & -6.09386075471106e-05 & 0.00226407786484129 & -0.314301774438575 \tabularnewline
131 & 0.32 & 0.321858212688733 & -6.08423392296641e-05 & -0.00210173042459444 & 0.0183440031410355 \tabularnewline
132 & 0.33 & 0.322190164435763 & -5.7909436424879e-05 & 0.00100804107478092 & 0.512804299057719 \tabularnewline
133 & 0.33 & 0.322439021472465 & -5.55828474860168e-05 & 0.00226517319720736 & 0.399352435626817 \tabularnewline
134 & 0.33 & 0.322949310000649 & -5.13259554419167e-05 & -0.00273728141445186 & 0.738065987759128 \tabularnewline
135 & 0.31 & 0.32211654904729 & -5.70290064591569e-05 & 0.00148470357013454 & -1.02532424191655 \tabularnewline
136 & 0.32 & 0.322058752843381 & -5.70341583443594e-05 & -0.00204519299946305 & -0.00102153185099913 \tabularnewline
137 & 0.32 & 0.321849195960554 & -5.81313104868921e-05 & 0.000810733306357414 & -0.200538825311421 \tabularnewline
138 & 0.32 & 0.321583388141178 & -5.96493856799132e-05 & 0.00202742844340782 & -0.272286888472044 \tabularnewline
139 & 0.32 & 0.32157096870939 & -5.93068379793316e-05 & -0.00239362854099334 & 0.0620328452744698 \tabularnewline
140 & 0.31 & 0.320836584590239 & -6.40574619518798e-05 & 0.000992149065638287 & -0.891714104394397 \tabularnewline
141 & 0.33 & 0.32133621871817 & -6.03936935060053e-05 & -0.00135303014988461 & 0.754669004490735 \tabularnewline
142 & 0.35 & 0.3227259681985 & -5.03306345046354e-05 & 0.00181827214448921 & 1.91917334223415 \tabularnewline
143 & 0.33 & 0.322973791706289 & -4.82274108116577e-05 & 0.00180798991060056 & 0.393495666758738 \tabularnewline
144 & 0.36 & 0.324972065305237 & -3.38995978477259e-05 & -0.00084929995036008 & 2.70531896324689 \tabularnewline
145 & 0.32 & 0.324679138685951 & -3.56594870504746e-05 & -0.000112348711108337 & -0.344272529380375 \tabularnewline
146 & 0.33 & 0.325014230403918 & -3.33244333203798e-05 & -0.00163558892981043 & 0.498884747032399 \tabularnewline
147 & 0.32 & 0.324647504157711 & -3.55591448999817e-05 & 0.00124055200023205 & -0.443914366111751 \tabularnewline
148 & 0.33 & 0.324824764294304 & -3.41086948914321e-05 & 0.00142766211765985 & 0.282594412266066 \tabularnewline
149 & 0.32 & 0.324586805669686 & -3.54879461523295e-05 & -0.000991611914028618 & -0.271093447570131 \tabularnewline
150 & 0.32 & 0.324326006709624 & -3.69676982829811e-05 & -0.000330831701489613 & -0.301182607972082 \tabularnewline
151 & 0.32 & 0.324145234248481 & -3.78462706492632e-05 & -0.00156494512794491 & -0.194421439891591 \tabularnewline
152 & 0.32 & 0.32383324124565 & -3.9623250930055e-05 & 0.00103562393542516 & -0.367073783787597 \tabularnewline
153 & 0.33 & 0.324030167704047 & -3.80639232129952e-05 & 0.00178059111736278 & 0.315895679985238 \tabularnewline
154 & 0.36 & 0.325887745659612 & -2.56553247902296e-05 & 0.000492541800636006 & 2.53505260943293 \tabularnewline
155 & 0.33 & 0.326117510377184 & -2.40319553113209e-05 & -0.000670769871746755 & 0.343255898873261 \tabularnewline
156 & 0.33 & 0.326377450654256 & -2.23473499350962e-05 & -0.00149510282025872 & 0.385625740922509 \tabularnewline
157 & 0.32 & 0.325994576395686 & -2.46097127547422e-05 & 0.000441993986197687 & -0.485263580978016 \tabularnewline
158 & 0.31 & 0.325090284510536 & -3.0224207494261e-05 & 0.000571708339451534 & -1.18099883565682 \tabularnewline
159 & 0.33 & 0.325277072699347 & -2.88485046133535e-05 & 0.000854028613134253 & 0.291726349219522 \tabularnewline
160 & 0.32 & 0.325019679910754 & -3.02556778777567e-05 & -0.000925224791499209 & -0.308668306969617 \tabularnewline
161 & 0.33 & 0.32530421353686 & -2.84407556690169e-05 & -0.00100056783677493 & 0.429248480407868 \tabularnewline
162 & 0.32 & 0.324976575050984 & -3.02602773775228e-05 & 0.000391217739557337 & -0.404683647358338 \tabularnewline
163 & 0.32 & 0.324664953407675 & -3.20006387669958e-05 & 0.000369411070194032 & -0.379612444721481 \tabularnewline
164 & 0.43 & 0.329929568148957 & 5.47508856012238e-07 & 0.00518029210031164 & 7.15490370840769 \tabularnewline
165 & 0.32 & 0.32956211635547 & -1.64969353425812e-06 & -0.00293856832163441 & -0.499327823466281 \tabularnewline
166 & 0.32 & 0.329139772999301 & -4.00903211888924e-06 & -0.00149756506972765 & -0.575896504651187 \tabularnewline
167 & 0.32 & 0.328662168096099 & -6.80288463737694e-06 & -0.000126663691363427 & -0.643494787806564 \tabularnewline
168 & 0.32 & 0.32827482002676 & -9.0862075449564e-06 & -0.00143396892915987 & -0.515820395600686 \tabularnewline
169 & 0.33 & 0.328076474740014 & -1.02146066099671e-05 & 0.00532970474093723 & -0.2568288343225 \tabularnewline
170 & 0.33 & 0.328298322002331 & -8.86974301292665e-06 & -0.00249338453307741 & 0.316250748450457 \tabularnewline
171 & 0.34 & 0.328942400930788 & -5.30493878566103e-06 & -0.000846907104175444 & 0.897115438282417 \tabularnewline
172 & 0.32 & 0.328498722710937 & -7.81586362881539e-06 & -0.000564117213134653 & -0.598186127655009 \tabularnewline
173 & 0.32 & 0.328128638941057 & -9.92619716564194e-06 & -0.00158778300702412 & -0.493190653324497 \tabularnewline
174 & 0.31 & 0.326938030796625 & -1.67619429486542e-05 & 0.00440284024162938 & -1.60909297428777 \tabularnewline
175 & 0.32 & 0.326688364552485 & -1.80731928879487e-05 & -0.00246082308319625 & -0.318697029551902 \tabularnewline
176 & 0.33 & 0.326860738020418 & -1.70602465766704e-05 & -0.00034489266700521 & 0.262569017017032 \tabularnewline
177 & 0.32 & 0.326520954656314 & -1.88565863030606e-05 & -0.000656079037100284 & -0.442144504145462 \tabularnewline
178 & 0.32 & 0.32623100744582 & -2.03910256080208e-05 & -0.00131618304536167 & -0.370577880537124 \tabularnewline
179 & 0.32 & 0.3256702744015 & -2.34313348779983e-05 & 0.00413607006999039 & -0.739380778146952 \tabularnewline
180 & 0.32 & 0.32548003803762 & -2.4344420006342e-05 & -0.00244062086912417 & -0.229127130488945 \tabularnewline
181 & 0.34 & 0.326182647173663 & -2.05749495258223e-05 & 0.000474696547472357 & 1.00553091815147 \tabularnewline
182 & 0.31 & 0.3253933006622 & -2.47367210919291e-05 & -0.00136933006116456 & -1.05723168016087 \tabularnewline
183 & 0.32 & 0.325147089885834 & -2.59557313779645e-05 & -0.00111618332506024 & -0.303923909326408 \tabularnewline
184 & 0.32 & 0.324652834808779 & -2.85184416339319e-05 & 0.00387858312400218 & -0.643240800642378 \tabularnewline
185 & 0.31 & 0.324018839770269 & -3.17434770698996e-05 & -0.00294613907490757 & -0.834708740037389 \tabularnewline
186 & 0.33 & 0.324235361058459 & -3.04876334887986e-05 & 0.00119387442680851 & 0.344466677302348 \tabularnewline
187 & 0.32 & 0.324060066250909 & -3.12506396221142e-05 & -0.00140903378368994 & -0.199851473593758 \tabularnewline
188 & 0.32 & 0.323872360554117 & -3.20886350950746e-05 & -0.00101436234116638 & -0.215483597016504 \tabularnewline
189 & 0.33 & 0.323941785921173 & -3.15479517483648e-05 & 0.0042021574544727 & 0.13993757942979 \tabularnewline
190 & 0.32 & 0.323866961679262 & -3.17724147325812e-05 & -0.00307282807988722 & -0.0598645031465069 \tabularnewline
191 & 0.32 & 0.323583884336593 & -3.3013318286207e-05 & 0.00105640844725737 & -0.349709424127856 \tabularnewline
192 & 0.32 & 0.323438430340599 & -3.35903970838557e-05 & -0.00137298410063691 & -0.155703644369349 \tabularnewline
193 & 0.32 & 0.323284967929592 & -3.42156272571923e-05 & -0.00108763263776559 & -0.16566786142819 \tabularnewline
194 & 0.33 & 0.323372950075283 & -3.35817281877198e-05 & 0.00438517242656934 & 0.169022791295535 \tabularnewline
195 & 0.32 & 0.323323028578261 & -3.36643137042421e-05 & -0.00302221576588436 & -0.0226759686666664 \tabularnewline
196 & 0.31 & 0.322581989130123 & -3.70759145699185e-05 & 0.000515937671421643 & -0.987112403460824 \tabularnewline
197 & 0.32 & 0.322474154490559 & -3.74298838742713e-05 & -0.00117021602219322 & -0.098295594781324 \tabularnewline
198 & 0.32 & 0.322368038616738 & -3.77789826051339e-05 & -0.00110483496026891 & -0.0952367544458774 \tabularnewline
199 & 0.32 & 0.321993812350801 & -3.94799578869943e-05 & 0.00419876200923472 & -0.466868349209163 \tabularnewline
200 & 0.31 & 0.321496603822122 & -4.17358552286402e-05 & -0.00304398510513154 & -0.637167886028056 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=318953&T=1

[TABLE]
[ROW][C]Structural Time Series Model -- Interpolation[/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]0.33[/C][C]0.33[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.33[/C][C]0.33[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.32[/C][C]0.325547553463312[/C][C]-0.00110958808084052[/C][C]-0.00112672123192428[/C][C]-0.47806646419675[/C][/ROW]
[ROW][C]4[/C][C]0.31[/C][C]0.319489494682229[/C][C]-0.00209551815660692[/C][C]-0.00211520701343752[/C][C]-0.712980987225531[/C][/ROW]
[ROW][C]5[/C][C]0.32[/C][C]0.318914356106884[/C][C]-0.00184326867045817[/C][C]-0.00182427870090919[/C][C]0.265678712512504[/C][/ROW]
[ROW][C]6[/C][C]0.33[/C][C]0.317927574775784[/C][C]-0.00172741250426752[/C][C]0.006913615814345[/C][C]0.385556332008392[/C][/ROW]
[ROW][C]7[/C][C]0.33[/C][C]0.321294101507454[/C][C]-0.00109240114621218[/C][C]-0.00103075943513215[/C][C]0.883769843229638[/C][/ROW]
[ROW][C]8[/C][C]0.35[/C][C]0.328950509092068[/C][C]-0.000123703428388541[/C][C]-1.79700821684064e-05[/C][C]1.83498504851481[/C][/ROW]
[ROW][C]9[/C][C]0.35[/C][C]0.334201336155307[/C][C]0.000411399314610193[/C][C]0.000424316175595908[/C][C]1.30348766695753[/C][/ROW]
[ROW][C]10[/C][C]0.35[/C][C]0.338035396903406[/C][C]0.000720904449889852[/C][C]0.000743198705477978[/C][C]0.933399760306686[/C][/ROW]
[ROW][C]11[/C][C]0.35[/C][C]0.340892326007371[/C][C]0.000888487910115096[/C][C]-0.00345886059516399[/C][C]0.957876481425452[/C][/ROW]
[ROW][C]12[/C][C]0.35[/C][C]0.34340316814645[/C][C]0.00101308765332815[/C][C]0.000954228337833594[/C][C]0.465690733468965[/C][/ROW]
[ROW][C]13[/C][C]0.35[/C][C]0.345323896736313[/C][C]0.00107776301884474[/C][C]0.00113766552967548[/C][C]0.288228122881511[/C][/ROW]
[ROW][C]14[/C][C]0.33[/C][C]0.343177491698694[/C][C]0.00086357263163888[/C][C]0.000705476545119915[/C][C]-1.11880424368867[/C][/ROW]
[ROW][C]15[/C][C]0.33[/C][C]0.341463595875767[/C][C]0.000703243434934743[/C][C]0.00064026792068157[/C][C]-0.966928629669423[/C][/ROW]
[ROW][C]16[/C][C]0.33[/C][C]0.340949746066987[/C][C]0.000636650789609086[/C][C]-0.00252855696861271[/C][C]-0.641613198343281[/C][/ROW]
[ROW][C]17[/C][C]0.33[/C][C]0.339581431707963[/C][C]0.000525307222136782[/C][C]0.000402159141959657[/C][C]-0.79367022194103[/C][/ROW]
[ROW][C]18[/C][C]0.33[/C][C]0.338432384036347[/C][C]0.000437270187927943[/C][C]0.000515098204260756[/C][C]-0.707104994997097[/C][/ROW]
[ROW][C]19[/C][C]0.33[/C][C]0.33751412811977[/C][C]0.000369644653893397[/C][C]0.000228435677726914[/C][C]-0.608525464677166[/C][/ROW]
[ROW][C]20[/C][C]0.33[/C][C]0.336731743783336[/C][C]0.000314997065538431[/C][C]0.000265166954074665[/C][C]-0.547223354350822[/C][/ROW]
[ROW][C]21[/C][C]0.33[/C][C]0.336395808577584[/C][C]0.000287802670083691[/C][C]-0.00113613716626713[/C][C]-0.399443625854724[/C][/ROW]
[ROW][C]22[/C][C]0.33[/C][C]0.335758271588279[/C][C]0.00024754415274725[/C][C]0.000150206868733676[/C][C]-0.460766508966378[/C][/ROW]
[ROW][C]23[/C][C]0.31[/C][C]0.33263336194713[/C][C]0.000106947449010842[/C][C]-3.6582142589533e-05[/C][C]-1.75664703717846[/C][/ROW]
[ROW][C]24[/C][C]0.31[/C][C]0.329937566238519[/C][C]-5.0752440757108e-06[/C][C]-0.000228367468630077[/C][C]-1.52716982155655[/C][/ROW]
[ROW][C]25[/C][C]0.33[/C][C]0.329926477421432[/C][C]-5.30585792018011e-06[/C][C]0.000117823760981303[/C][C]-0.00342188294861075[/C][/ROW]
[ROW][C]26[/C][C]0.32[/C][C]0.328945957830631[/C][C]-3.81492688436122e-05[/C][C]3.15586390247379e-05[/C][C]-0.679771044574529[/C][/ROW]
[ROW][C]27[/C][C]0.32[/C][C]0.327885487318935[/C][C]-7.4715148932067e-05[/C][C]-3.58478194986138e-05[/C][C]-0.605298038396251[/C][/ROW]
[ROW][C]28[/C][C]0.31[/C][C]0.325857378830169[/C][C]-0.000142216835045354[/C][C]-0.000332436724954595[/C][C]-1.19497586211206[/C][/ROW]
[ROW][C]29[/C][C]0.32[/C][C]0.325134185724575[/C][C]-0.000161596952790067[/C][C]-0.000343885509355906[/C][C]-0.367931474556228[/C][/ROW]
[ROW][C]30[/C][C]0.32[/C][C]0.324453354321986[/C][C]-0.000178311047199377[/C][C]-1.13471083119103e-05[/C][C]-0.340425916768178[/C][/ROW]
[ROW][C]31[/C][C]0.33[/C][C]0.324722709676208[/C][C]-0.000165705714413604[/C][C]0.000690552273037372[/C][C]0.346517055381446[/C][/ROW]
[ROW][C]32[/C][C]0.32[/C][C]0.324105467740655[/C][C]-0.000179417247085945[/C][C]-0.000108995824361364[/C][C]-0.305993391638991[/C][/ROW]
[ROW][C]33[/C][C]0.32[/C][C]0.323572648385258[/C][C]-0.000189849788383594[/C][C]-0.000364704087804106[/C][C]-0.245351385732904[/C][/ROW]
[ROW][C]34[/C][C]0.32[/C][C]0.323091147584375[/C][C]-0.000198201490669582[/C][C]-0.000366272681150137[/C][C]-0.208097353861869[/C][/ROW]
[ROW][C]35[/C][C]0.33[/C][C]0.323553105541406[/C][C]-0.00017989046522381[/C][C]8.9830797223234e-05[/C][C]0.484679797157732[/C][/ROW]
[ROW][C]36[/C][C]0.33[/C][C]0.323852524042372[/C][C]-0.000168304151922504[/C][C]0.000786841225178452[/C][C]0.404324824003182[/C][/ROW]
[ROW][C]37[/C][C]0.33[/C][C]0.324262893843623[/C][C]-0.000153038450491843[/C][C]6.87508683091419e-06[/C][C]0.436683001605818[/C][/ROW]
[ROW][C]38[/C][C]0.32[/C][C]0.323778520431074[/C][C]-0.000161578521114406[/C][C]-0.000435697593435177[/C][C]-0.254580110710912[/C][/ROW]
[ROW][C]39[/C][C]0.32[/C][C]0.323335096484495[/C][C]-0.000168651137292255[/C][C]-0.000425038795915294[/C][C]-0.221384286932312[/C][/ROW]
[ROW][C]40[/C][C]0.32[/C][C]0.322892099895422[/C][C]-0.000175335903897011[/C][C]1.3478481478181e-05[/C][C]-0.220753212690523[/C][/ROW]
[ROW][C]41[/C][C]0.33[/C][C]0.32320946455177[/C][C]-0.000164903524247002[/C][C]0.000869337915540418[/C][C]0.446104597371942[/C][/ROW]
[ROW][C]42[/C][C]0.34[/C][C]0.324448613346697[/C][C]-0.000132166067012201[/C][C]0.000335073568292282[/C][C]1.155875043968[/C][/ROW]
[ROW][C]43[/C][C]0.32[/C][C]0.324007946791838[/C][C]-0.000139224262636535[/C][C]-0.000618276505590315[/C][C]-0.257393741380428[/C][/ROW]
[ROW][C]44[/C][C]0.32[/C][C]0.323585458945428[/C][C]-0.000145551814915491[/C][C]-0.000413829215963564[/C][C]-0.240642780837309[/C][/ROW]
[ROW][C]45[/C][C]0.33[/C][C]0.323955274129516[/C][C]-0.00013435595827483[/C][C]0.000146722861817959[/C][C]0.447018156149991[/C][/ROW]
[ROW][C]46[/C][C]0.32[/C][C]0.323509586942648[/C][C]-0.000140222532892285[/C][C]0.000460461823251767[/C][C]-0.298882263333826[/C][/ROW]
[ROW][C]47[/C][C]0.33[/C][C]0.323849211375143[/C][C]-0.000130200176734053[/C][C]0.000553788996819578[/C][C]0.424216247500433[/C][/ROW]
[ROW][C]48[/C][C]0.32[/C][C]0.323483578532018[/C][C]-0.000135043669450164[/C][C]-0.000709831001182807[/C][C]-0.210193806148133[/C][/ROW]
[ROW][C]49[/C][C]0.3[/C][C]0.321622831845106[/C][C]-0.000169785524136517[/C][C]-0.000972111911828439[/C][C]-1.5639314808795[/C][/ROW]
[ROW][C]50[/C][C]0.33[/C][C]0.322056603844674[/C][C]-0.000157957877431185[/C][C]0.000581244120784671[/C][C]0.55704109727526[/C][/ROW]
[ROW][C]51[/C][C]0.31[/C][C]0.321061673722448[/C][C]-0.000172174726282395[/C][C]0.000149095009241816[/C][C]-0.843601009188245[/C][/ROW]
[ROW][C]52[/C][C]0.33[/C][C]0.321502113419014[/C][C]-0.000160588973745878[/C][C]0.000906090720449819[/C][C]0.574504046803772[/C][/ROW]
[ROW][C]53[/C][C]0.33[/C][C]0.32200960578367[/C][C]-0.000148101301381415[/C][C]-0.00034777914197731[/C][C]0.630953228696827[/C][/ROW]
[ROW][C]54[/C][C]0.31[/C][C]0.32109500886023[/C][C]-0.000162147806781871[/C][C]-0.00140307149405786[/C][C]-0.733032515496411[/C][/ROW]
[ROW][C]55[/C][C]0.33[/C][C]0.3215133817241[/C][C]-0.000151787708762526[/C][C]0.00102010587257381[/C][C]0.564262458480467[/C][/ROW]
[ROW][C]56[/C][C]0.32[/C][C]0.321279470916796[/C][C]-0.000153058490355747[/C][C]-0.000133406227589622[/C][C]-0.0862174309431377[/C][/ROW]
[ROW][C]57[/C][C]0.33[/C][C]0.321685410552772[/C][C]-0.000143401568602337[/C][C]0.00102911682184681[/C][C]0.550707350171192[/C][/ROW]
[ROW][C]58[/C][C]0.32[/C][C]0.321457355777815[/C][C]-0.000144851513933317[/C][C]-0.000348732752316981[/C][C]-0.083804020361342[/C][/ROW]
[ROW][C]59[/C][C]0.31[/C][C]0.32063953729616[/C][C]-0.000156170002347626[/C][C]-0.00172877976841362[/C][C]-0.673323386126446[/C][/ROW]
[ROW][C]60[/C][C]0.33[/C][C]0.321048197664633[/C][C]-0.000146917710940861[/C][C]0.00135710104363558[/C][C]0.573467201933548[/C][/ROW]
[ROW][C]61[/C][C]0.33[/C][C]0.321498460636852[/C][C]-0.000138424947839268[/C][C]-0.000124747248209991[/C][C]0.648867454181598[/C][/ROW]
[ROW][C]62[/C][C]0.33[/C][C]0.32187372319585[/C][C]-0.000130258947534756[/C][C]0.00114185091058345[/C][C]0.527530949486136[/C][/ROW]
[ROW][C]63[/C][C]0.33[/C][C]0.322313310601428[/C][C]-0.000121251412236027[/C][C]-8.47220461310181e-05[/C][C]0.587034653781128[/C][/ROW]
[ROW][C]64[/C][C]0.32[/C][C]0.322173727568226[/C][C]-0.000121536327012382[/C][C]-0.00192136858670553[/C][C]-0.0190564525123545[/C][/ROW]
[ROW][C]65[/C][C]0.32[/C][C]0.321837484074471[/C][C]-0.000124786025629778[/C][C]0.00115994754833223[/C][C]-0.226199105940203[/C][/ROW]
[ROW][C]66[/C][C]0.32[/C][C]0.321621850498344[/C][C]-0.00012598227335335[/C][C]-0.000270692874007094[/C][C]-0.101631351739462[/C][/ROW]
[ROW][C]67[/C][C]0.37[/C][C]0.324550378587356[/C][C]-8.10207713036208e-05[/C][C]0.00240214450026275[/C][C]3.24951469666272[/C][/ROW]
[ROW][C]68[/C][C]0.32[/C][C]0.324223363089427[/C][C]-8.46309174642657e-05[/C][C]-0.000751023376481844[/C][C]-0.262156342914092[/C][/ROW]
[ROW][C]69[/C][C]0.31[/C][C]0.323353950515655[/C][C]-9.59683427275099e-05[/C][C]-0.00218659803450812[/C][C]-0.84289185692672[/C][/ROW]
[ROW][C]70[/C][C]0.32[/C][C]0.322970081819505[/C][C]-0.000100017511868645[/C][C]0.00117990067139608[/C][C]-0.313047145672937[/C][/ROW]
[ROW][C]71[/C][C]0.32[/C][C]0.32275280650045[/C][C]-0.000101456186327953[/C][C]-0.000964906899473741[/C][C]-0.134488189622328[/C][/ROW]
[ROW][C]72[/C][C]0.31[/C][C]0.3217055548361[/C][C]-0.000114416414259975[/C][C]0.00203824376288751[/C][C]-1.03705707195261[/C][/ROW]
[ROW][C]73[/C][C]0.31[/C][C]0.320893030851421[/C][C]-0.000123977558470173[/C][C]-0.000743859415792024[/C][C]-0.765964656953162[/C][/ROW]
[ROW][C]74[/C][C]0.31[/C][C]0.320224443792907[/C][C]-0.000131327386222228[/C][C]-0.00225126211140003[/C][C]-0.601605776712315[/C][/ROW]
[ROW][C]75[/C][C]0.33[/C][C]0.320619210377757[/C][C]-0.0001244179174062[/C][C]0.00158591533138226[/C][C]0.587828501693188[/C][/ROW]
[ROW][C]76[/C][C]0.33[/C][C]0.321097874769914[/C][C]-0.000117485740963498[/C][C]-0.000492195758026687[/C][C]0.706716872510318[/C][/ROW]
[ROW][C]77[/C][C]0.31[/C][C]0.320186866428689[/C][C]-0.000127655605733132[/C][C]0.00165234493369255[/C][C]-0.893090212874942[/C][/ROW]
[ROW][C]78[/C][C]0.4[/C][C]0.324955730813522[/C][C]-6.47915719987069e-05[/C][C]0.00202110283578475[/C][C]5.50967585554017[/C][/ROW]
[ROW][C]79[/C][C]0.32[/C][C]0.324800507931023[/C][C]-6.59366226043455e-05[/C][C]-0.00344361650014873[/C][C]-0.10235934614833[/C][/ROW]
[ROW][C]80[/C][C]0.33[/C][C]0.324964988794571[/C][C]-6.30985882426091e-05[/C][C]0.00153880149815362[/C][C]0.263607264119766[/C][/ROW]
[ROW][C]81[/C][C]0.33[/C][C]0.325230903343745[/C][C]-5.95388444133093e-05[/C][C]-0.000451778409310183[/C][C]0.392802977987276[/C][/ROW]
[ROW][C]82[/C][C]0.32[/C][C]0.324836229049183[/C][C]-6.35724633188056e-05[/C][C]0.000279649790799103[/C][C]-0.385839593099311[/C][/ROW]
[ROW][C]83[/C][C]0.32[/C][C]0.324362620882088[/C][C]-6.8526497720878e-05[/C][C]0.00188946175448389[/C][C]-0.471640796210138[/C][/ROW]
[ROW][C]84[/C][C]0.32[/C][C]0.324241403503833[/C][C]-6.91548576398075e-05[/C][C]-0.00343366399370411[/C][C]-0.060923785945097[/C][/ROW]
[ROW][C]85[/C][C]0.32[/C][C]0.32384009632272[/C][C]-7.30061368936847e-05[/C][C]0.00130544461264613[/C][C]-0.387916435701105[/C][/ROW]
[ROW][C]86[/C][C]0.32[/C][C]0.323567545165677[/C][C]-7.50466286849298e-05[/C][C]-0.000349548449171469[/C][C]-0.242144995999793[/C][/ROW]
[ROW][C]87[/C][C]0.32[/C][C]0.323263224104829[/C][C]-7.76475314914197e-05[/C][C]0.000307347561427924[/C][C]-0.269255881101942[/C][/ROW]
[ROW][C]88[/C][C]0.32[/C][C]0.322884604745164[/C][C]-8.10813790570014e-05[/C][C]0.00179459330896294[/C][C]-0.352942330533312[/C][/ROW]
[ROW][C]89[/C][C]0.32[/C][C]0.322831113896032[/C][C]-8.07704508593135e-05[/C][C]-0.00326210656383567[/C][C]0.0325042956184255[/C][/ROW]
[ROW][C]90[/C][C]0.32[/C][C]0.322513308529278[/C][C]-8.33664755688982e-05[/C][C]0.00122622468227903[/C][C]-0.281898190288276[/C][/ROW]
[ROW][C]91[/C][C]0.31[/C][C]0.321747617476533[/C][C]-8.99845083241227e-05[/C][C]-0.000586707505149099[/C][C]-0.839945539498546[/C][/ROW]
[ROW][C]92[/C][C]0.33[/C][C]0.322103839179172[/C][C]-8.51981598147113e-05[/C][C]0.000823935975201627[/C][C]0.533265809376861[/C][/ROW]
[ROW][C]93[/C][C]0.31[/C][C]0.321230507134412[/C][C]-9.37154512253527e-05[/C][C]0.00123467151719116[/C][C]-0.940142921572856[/C][/ROW]
[ROW][C]94[/C][C]0.33[/C][C]0.321816025903646[/C][C]-8.64603198373623e-05[/C][C]-0.0026043853008695[/C][C]0.813574373232429[/C][/ROW]
[ROW][C]95[/C][C]0.35[/C][C]0.323263457938991[/C][C]-7.05444184849813e-05[/C][C]0.00214471329502825[/C][C]1.85373588482876[/C][/ROW]
[ROW][C]96[/C][C]0.31[/C][C]0.322528856773555[/C][C]-7.66729629221193e-05[/C][C]-0.00152947589894377[/C][C]-0.827907580103767[/C][/ROW]
[ROW][C]97[/C][C]0.33[/C][C]0.322813741008372[/C][C]-7.29949828982336e-05[/C][C]0.00136575317176613[/C][C]0.438856376683534[/C][/ROW]
[ROW][C]98[/C][C]0.31[/C][C]0.321965923448378[/C][C]-8.09481215807324e-05[/C][C]0.000477014508333025[/C][C]-0.938412128155631[/C][/ROW]
[ROW][C]99[/C][C]0.31[/C][C]0.321372318402923[/C][C]-8.6152166439173e-05[/C][C]-0.00310829160416573[/C][C]-0.623182782934974[/C][/ROW]
[ROW][C]100[/C][C]0.32[/C][C]0.321076195034583[/C][C]-8.82219164291926e-05[/C][C]0.00233865263318989[/C][C]-0.257407032746597[/C][/ROW]
[ROW][C]101[/C][C]0.34[/C][C]0.322105209752272[/C][C]-7.83834959857832e-05[/C][C]-0.000819237009769662[/C][C]1.40877475557803[/C][/ROW]
[ROW][C]102[/C][C]0.32[/C][C]0.321842049431632[/C][C]-8.01707456612101e-05[/C][C]0.00117412128235834[/C][C]-0.22740566978114[/C][/ROW]
[ROW][C]103[/C][C]0.32[/C][C]0.321627997863088[/C][C]-8.14792016807161e-05[/C][C]0.000551511967653483[/C][C]-0.164366498624298[/C][/ROW]
[ROW][C]104[/C][C]0.32[/C][C]0.321629984755753[/C][C]-8.06720404196733e-05[/C][C]-0.00299340354293289[/C][C]0.102811642808664[/C][/ROW]
[ROW][C]105[/C][C]0.34[/C][C]0.322457059664571[/C][C]-7.21505397673711e-05[/C][C]0.00258971816632488[/C][C]1.1271520977043[/C][/ROW]
[ROW][C]106[/C][C]0.31[/C][C]0.321772546204541[/C][C]-7.73087372486971e-05[/C][C]-0.00141189626554997[/C][C]-0.780044374602296[/C][/ROW]
[ROW][C]107[/C][C]0.31[/C][C]0.320977356574957[/C][C]-8.39268248382409e-05[/C][C]0.000887375943425031[/C][C]-0.894527461255377[/C][/ROW]
[ROW][C]108[/C][C]0.31[/C][C]0.320253313436844[/C][C]-8.98967972510369e-05[/C][C]0.000295926914230104[/C][C]-0.795545818659407[/C][/ROW]
[ROW][C]109[/C][C]0.31[/C][C]0.319771041635699[/C][C]-9.35195312829898e-05[/C][C]-0.00328470346885197[/C][C]-0.48911028145657[/C][/ROW]
[ROW][C]110[/C][C]0.31[/C][C]0.318989575438996[/C][C]-9.96837060251186e-05[/C][C]0.00247405632884114[/C][C]-0.864117611054608[/C][/ROW]
[ROW][C]111[/C][C]0.31[/C][C]0.318464421698139[/C][C]-0.000103119554978808[/C][C]-0.00120042998648401[/C][C]-0.546968306071007[/C][/ROW]
[ROW][C]112[/C][C]0.33[/C][C]0.318927584306148[/C][C]-9.81329887923122e-05[/C][C]0.001607890100646[/C][C]0.713558190970702[/C][/ROW]
[ROW][C]113[/C][C]0.34[/C][C]0.319968596398305[/C][C]-8.79741049842977e-05[/C][C]0.0010490241041466[/C][C]1.43148875512345[/C][/ROW]
[ROW][C]114[/C][C]0.34[/C][C]0.321160625787475[/C][C]-7.66684676659091e-05[/C][C]-0.0025498393377556[/C][C]1.61286957163922[/C][/ROW]
[ROW][C]115[/C][C]0.34[/C][C]0.32198870133875[/C][C]-6.89147974784369e-05[/C][C]0.00277747497004236[/C][C]1.14832530156797[/C][/ROW]
[ROW][C]116[/C][C]0.33[/C][C]0.322443007868607[/C][C]-6.48560127308503e-05[/C][C]-0.00144946232253107[/C][C]0.678252209155854[/C][/ROW]
[ROW][C]117[/C][C]0.34[/C][C]0.323271896310264[/C][C]-5.73235410759423e-05[/C][C]0.00163850086208885[/C][C]1.13764306688276[/C][/ROW]
[ROW][C]118[/C][C]0.35[/C][C]0.324640851802611[/C][C]-4.51384120692108e-05[/C][C]0.00135185005276065[/C][C]1.8104066814154[/C][/ROW]
[ROW][C]119[/C][C]0.31[/C][C]0.323985098710205[/C][C]-5.03072158985207e-05[/C][C]-0.00368100269994296[/C][C]-0.776986152684951[/C][/ROW]
[ROW][C]120[/C][C]0.31[/C][C]0.323044691233336[/C][C]-5.76169493044691e-05[/C][C]0.00208470676928664[/C][C]-1.1404710754771[/C][/ROW]
[ROW][C]121[/C][C]0.3[/C][C]0.321858862572994[/C][C]-6.60392720946714e-05[/C][C]-0.00229270328009999[/C][C]-1.47363275485624[/C][/ROW]
[ROW][C]122[/C][C]0.32[/C][C]0.32161061942188[/C][C]-6.75117007869984e-05[/C][C]0.001494087426577[/C][C]-0.234071296927687[/C][/ROW]
[ROW][C]123[/C][C]0.33[/C][C]0.321906452514218[/C][C]-6.45328935663126e-05[/C][C]0.00192133200740291[/C][C]0.465447555331825[/C][/ROW]
[ROW][C]124[/C][C]0.32[/C][C]0.321928600459906[/C][C]-6.3828507733977e-05[/C][C]-0.00340449100402165[/C][C]0.111290287581908[/C][/ROW]
[ROW][C]125[/C][C]0.33[/C][C]0.322169477024097[/C][C]-6.1426477389146e-05[/C][C]0.00260655896836568[/C][C]0.393794614999779[/C][/ROW]
[ROW][C]126[/C][C]0.32[/C][C]0.322121125832039[/C][C]-6.13323891723786e-05[/C][C]-0.00234944332444498[/C][C]0.0171974835591854[/C][/ROW]
[ROW][C]127[/C][C]0.31[/C][C]0.321349367929581[/C][C]-6.68465958041303e-05[/C][C]0.000858274170010023[/C][C]-0.920363799870413[/C][/ROW]
[ROW][C]128[/C][C]0.33[/C][C]0.321634423090775[/C][C]-6.4073761241531e-05[/C][C]0.00233732015018456[/C][C]0.454588811707753[/C][/ROW]
[ROW][C]129[/C][C]0.33[/C][C]0.322205686811751[/C][C]-5.91098275814049e-05[/C][C]-0.00311255096563645[/C][C]0.822437442637103[/C][/ROW]
[ROW][C]130[/C][C]0.32[/C][C]0.321905293053911[/C][C]-6.09386075471106e-05[/C][C]0.00226407786484129[/C][C]-0.314301774438575[/C][/ROW]
[ROW][C]131[/C][C]0.32[/C][C]0.321858212688733[/C][C]-6.08423392296641e-05[/C][C]-0.00210173042459444[/C][C]0.0183440031410355[/C][/ROW]
[ROW][C]132[/C][C]0.33[/C][C]0.322190164435763[/C][C]-5.7909436424879e-05[/C][C]0.00100804107478092[/C][C]0.512804299057719[/C][/ROW]
[ROW][C]133[/C][C]0.33[/C][C]0.322439021472465[/C][C]-5.55828474860168e-05[/C][C]0.00226517319720736[/C][C]0.399352435626817[/C][/ROW]
[ROW][C]134[/C][C]0.33[/C][C]0.322949310000649[/C][C]-5.13259554419167e-05[/C][C]-0.00273728141445186[/C][C]0.738065987759128[/C][/ROW]
[ROW][C]135[/C][C]0.31[/C][C]0.32211654904729[/C][C]-5.70290064591569e-05[/C][C]0.00148470357013454[/C][C]-1.02532424191655[/C][/ROW]
[ROW][C]136[/C][C]0.32[/C][C]0.322058752843381[/C][C]-5.70341583443594e-05[/C][C]-0.00204519299946305[/C][C]-0.00102153185099913[/C][/ROW]
[ROW][C]137[/C][C]0.32[/C][C]0.321849195960554[/C][C]-5.81313104868921e-05[/C][C]0.000810733306357414[/C][C]-0.200538825311421[/C][/ROW]
[ROW][C]138[/C][C]0.32[/C][C]0.321583388141178[/C][C]-5.96493856799132e-05[/C][C]0.00202742844340782[/C][C]-0.272286888472044[/C][/ROW]
[ROW][C]139[/C][C]0.32[/C][C]0.32157096870939[/C][C]-5.93068379793316e-05[/C][C]-0.00239362854099334[/C][C]0.0620328452744698[/C][/ROW]
[ROW][C]140[/C][C]0.31[/C][C]0.320836584590239[/C][C]-6.40574619518798e-05[/C][C]0.000992149065638287[/C][C]-0.891714104394397[/C][/ROW]
[ROW][C]141[/C][C]0.33[/C][C]0.32133621871817[/C][C]-6.03936935060053e-05[/C][C]-0.00135303014988461[/C][C]0.754669004490735[/C][/ROW]
[ROW][C]142[/C][C]0.35[/C][C]0.3227259681985[/C][C]-5.03306345046354e-05[/C][C]0.00181827214448921[/C][C]1.91917334223415[/C][/ROW]
[ROW][C]143[/C][C]0.33[/C][C]0.322973791706289[/C][C]-4.82274108116577e-05[/C][C]0.00180798991060056[/C][C]0.393495666758738[/C][/ROW]
[ROW][C]144[/C][C]0.36[/C][C]0.324972065305237[/C][C]-3.38995978477259e-05[/C][C]-0.00084929995036008[/C][C]2.70531896324689[/C][/ROW]
[ROW][C]145[/C][C]0.32[/C][C]0.324679138685951[/C][C]-3.56594870504746e-05[/C][C]-0.000112348711108337[/C][C]-0.344272529380375[/C][/ROW]
[ROW][C]146[/C][C]0.33[/C][C]0.325014230403918[/C][C]-3.33244333203798e-05[/C][C]-0.00163558892981043[/C][C]0.498884747032399[/C][/ROW]
[ROW][C]147[/C][C]0.32[/C][C]0.324647504157711[/C][C]-3.55591448999817e-05[/C][C]0.00124055200023205[/C][C]-0.443914366111751[/C][/ROW]
[ROW][C]148[/C][C]0.33[/C][C]0.324824764294304[/C][C]-3.41086948914321e-05[/C][C]0.00142766211765985[/C][C]0.282594412266066[/C][/ROW]
[ROW][C]149[/C][C]0.32[/C][C]0.324586805669686[/C][C]-3.54879461523295e-05[/C][C]-0.000991611914028618[/C][C]-0.271093447570131[/C][/ROW]
[ROW][C]150[/C][C]0.32[/C][C]0.324326006709624[/C][C]-3.69676982829811e-05[/C][C]-0.000330831701489613[/C][C]-0.301182607972082[/C][/ROW]
[ROW][C]151[/C][C]0.32[/C][C]0.324145234248481[/C][C]-3.78462706492632e-05[/C][C]-0.00156494512794491[/C][C]-0.194421439891591[/C][/ROW]
[ROW][C]152[/C][C]0.32[/C][C]0.32383324124565[/C][C]-3.9623250930055e-05[/C][C]0.00103562393542516[/C][C]-0.367073783787597[/C][/ROW]
[ROW][C]153[/C][C]0.33[/C][C]0.324030167704047[/C][C]-3.80639232129952e-05[/C][C]0.00178059111736278[/C][C]0.315895679985238[/C][/ROW]
[ROW][C]154[/C][C]0.36[/C][C]0.325887745659612[/C][C]-2.56553247902296e-05[/C][C]0.000492541800636006[/C][C]2.53505260943293[/C][/ROW]
[ROW][C]155[/C][C]0.33[/C][C]0.326117510377184[/C][C]-2.40319553113209e-05[/C][C]-0.000670769871746755[/C][C]0.343255898873261[/C][/ROW]
[ROW][C]156[/C][C]0.33[/C][C]0.326377450654256[/C][C]-2.23473499350962e-05[/C][C]-0.00149510282025872[/C][C]0.385625740922509[/C][/ROW]
[ROW][C]157[/C][C]0.32[/C][C]0.325994576395686[/C][C]-2.46097127547422e-05[/C][C]0.000441993986197687[/C][C]-0.485263580978016[/C][/ROW]
[ROW][C]158[/C][C]0.31[/C][C]0.325090284510536[/C][C]-3.0224207494261e-05[/C][C]0.000571708339451534[/C][C]-1.18099883565682[/C][/ROW]
[ROW][C]159[/C][C]0.33[/C][C]0.325277072699347[/C][C]-2.88485046133535e-05[/C][C]0.000854028613134253[/C][C]0.291726349219522[/C][/ROW]
[ROW][C]160[/C][C]0.32[/C][C]0.325019679910754[/C][C]-3.02556778777567e-05[/C][C]-0.000925224791499209[/C][C]-0.308668306969617[/C][/ROW]
[ROW][C]161[/C][C]0.33[/C][C]0.32530421353686[/C][C]-2.84407556690169e-05[/C][C]-0.00100056783677493[/C][C]0.429248480407868[/C][/ROW]
[ROW][C]162[/C][C]0.32[/C][C]0.324976575050984[/C][C]-3.02602773775228e-05[/C][C]0.000391217739557337[/C][C]-0.404683647358338[/C][/ROW]
[ROW][C]163[/C][C]0.32[/C][C]0.324664953407675[/C][C]-3.20006387669958e-05[/C][C]0.000369411070194032[/C][C]-0.379612444721481[/C][/ROW]
[ROW][C]164[/C][C]0.43[/C][C]0.329929568148957[/C][C]5.47508856012238e-07[/C][C]0.00518029210031164[/C][C]7.15490370840769[/C][/ROW]
[ROW][C]165[/C][C]0.32[/C][C]0.32956211635547[/C][C]-1.64969353425812e-06[/C][C]-0.00293856832163441[/C][C]-0.499327823466281[/C][/ROW]
[ROW][C]166[/C][C]0.32[/C][C]0.329139772999301[/C][C]-4.00903211888924e-06[/C][C]-0.00149756506972765[/C][C]-0.575896504651187[/C][/ROW]
[ROW][C]167[/C][C]0.32[/C][C]0.328662168096099[/C][C]-6.80288463737694e-06[/C][C]-0.000126663691363427[/C][C]-0.643494787806564[/C][/ROW]
[ROW][C]168[/C][C]0.32[/C][C]0.32827482002676[/C][C]-9.0862075449564e-06[/C][C]-0.00143396892915987[/C][C]-0.515820395600686[/C][/ROW]
[ROW][C]169[/C][C]0.33[/C][C]0.328076474740014[/C][C]-1.02146066099671e-05[/C][C]0.00532970474093723[/C][C]-0.2568288343225[/C][/ROW]
[ROW][C]170[/C][C]0.33[/C][C]0.328298322002331[/C][C]-8.86974301292665e-06[/C][C]-0.00249338453307741[/C][C]0.316250748450457[/C][/ROW]
[ROW][C]171[/C][C]0.34[/C][C]0.328942400930788[/C][C]-5.30493878566103e-06[/C][C]-0.000846907104175444[/C][C]0.897115438282417[/C][/ROW]
[ROW][C]172[/C][C]0.32[/C][C]0.328498722710937[/C][C]-7.81586362881539e-06[/C][C]-0.000564117213134653[/C][C]-0.598186127655009[/C][/ROW]
[ROW][C]173[/C][C]0.32[/C][C]0.328128638941057[/C][C]-9.92619716564194e-06[/C][C]-0.00158778300702412[/C][C]-0.493190653324497[/C][/ROW]
[ROW][C]174[/C][C]0.31[/C][C]0.326938030796625[/C][C]-1.67619429486542e-05[/C][C]0.00440284024162938[/C][C]-1.60909297428777[/C][/ROW]
[ROW][C]175[/C][C]0.32[/C][C]0.326688364552485[/C][C]-1.80731928879487e-05[/C][C]-0.00246082308319625[/C][C]-0.318697029551902[/C][/ROW]
[ROW][C]176[/C][C]0.33[/C][C]0.326860738020418[/C][C]-1.70602465766704e-05[/C][C]-0.00034489266700521[/C][C]0.262569017017032[/C][/ROW]
[ROW][C]177[/C][C]0.32[/C][C]0.326520954656314[/C][C]-1.88565863030606e-05[/C][C]-0.000656079037100284[/C][C]-0.442144504145462[/C][/ROW]
[ROW][C]178[/C][C]0.32[/C][C]0.32623100744582[/C][C]-2.03910256080208e-05[/C][C]-0.00131618304536167[/C][C]-0.370577880537124[/C][/ROW]
[ROW][C]179[/C][C]0.32[/C][C]0.3256702744015[/C][C]-2.34313348779983e-05[/C][C]0.00413607006999039[/C][C]-0.739380778146952[/C][/ROW]
[ROW][C]180[/C][C]0.32[/C][C]0.32548003803762[/C][C]-2.4344420006342e-05[/C][C]-0.00244062086912417[/C][C]-0.229127130488945[/C][/ROW]
[ROW][C]181[/C][C]0.34[/C][C]0.326182647173663[/C][C]-2.05749495258223e-05[/C][C]0.000474696547472357[/C][C]1.00553091815147[/C][/ROW]
[ROW][C]182[/C][C]0.31[/C][C]0.3253933006622[/C][C]-2.47367210919291e-05[/C][C]-0.00136933006116456[/C][C]-1.05723168016087[/C][/ROW]
[ROW][C]183[/C][C]0.32[/C][C]0.325147089885834[/C][C]-2.59557313779645e-05[/C][C]-0.00111618332506024[/C][C]-0.303923909326408[/C][/ROW]
[ROW][C]184[/C][C]0.32[/C][C]0.324652834808779[/C][C]-2.85184416339319e-05[/C][C]0.00387858312400218[/C][C]-0.643240800642378[/C][/ROW]
[ROW][C]185[/C][C]0.31[/C][C]0.324018839770269[/C][C]-3.17434770698996e-05[/C][C]-0.00294613907490757[/C][C]-0.834708740037389[/C][/ROW]
[ROW][C]186[/C][C]0.33[/C][C]0.324235361058459[/C][C]-3.04876334887986e-05[/C][C]0.00119387442680851[/C][C]0.344466677302348[/C][/ROW]
[ROW][C]187[/C][C]0.32[/C][C]0.324060066250909[/C][C]-3.12506396221142e-05[/C][C]-0.00140903378368994[/C][C]-0.199851473593758[/C][/ROW]
[ROW][C]188[/C][C]0.32[/C][C]0.323872360554117[/C][C]-3.20886350950746e-05[/C][C]-0.00101436234116638[/C][C]-0.215483597016504[/C][/ROW]
[ROW][C]189[/C][C]0.33[/C][C]0.323941785921173[/C][C]-3.15479517483648e-05[/C][C]0.0042021574544727[/C][C]0.13993757942979[/C][/ROW]
[ROW][C]190[/C][C]0.32[/C][C]0.323866961679262[/C][C]-3.17724147325812e-05[/C][C]-0.00307282807988722[/C][C]-0.0598645031465069[/C][/ROW]
[ROW][C]191[/C][C]0.32[/C][C]0.323583884336593[/C][C]-3.3013318286207e-05[/C][C]0.00105640844725737[/C][C]-0.349709424127856[/C][/ROW]
[ROW][C]192[/C][C]0.32[/C][C]0.323438430340599[/C][C]-3.35903970838557e-05[/C][C]-0.00137298410063691[/C][C]-0.155703644369349[/C][/ROW]
[ROW][C]193[/C][C]0.32[/C][C]0.323284967929592[/C][C]-3.42156272571923e-05[/C][C]-0.00108763263776559[/C][C]-0.16566786142819[/C][/ROW]
[ROW][C]194[/C][C]0.33[/C][C]0.323372950075283[/C][C]-3.35817281877198e-05[/C][C]0.00438517242656934[/C][C]0.169022791295535[/C][/ROW]
[ROW][C]195[/C][C]0.32[/C][C]0.323323028578261[/C][C]-3.36643137042421e-05[/C][C]-0.00302221576588436[/C][C]-0.0226759686666664[/C][/ROW]
[ROW][C]196[/C][C]0.31[/C][C]0.322581989130123[/C][C]-3.70759145699185e-05[/C][C]0.000515937671421643[/C][C]-0.987112403460824[/C][/ROW]
[ROW][C]197[/C][C]0.32[/C][C]0.322474154490559[/C][C]-3.74298838742713e-05[/C][C]-0.00117021602219322[/C][C]-0.098295594781324[/C][/ROW]
[ROW][C]198[/C][C]0.32[/C][C]0.322368038616738[/C][C]-3.77789826051339e-05[/C][C]-0.00110483496026891[/C][C]-0.0952367544458774[/C][/ROW]
[ROW][C]199[/C][C]0.32[/C][C]0.321993812350801[/C][C]-3.94799578869943e-05[/C][C]0.00419876200923472[/C][C]-0.466868349209163[/C][/ROW]
[ROW][C]200[/C][C]0.31[/C][C]0.321496603822122[/C][C]-4.17358552286402e-05[/C][C]-0.00304398510513154[/C][C]-0.637167886028056[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=318953&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=318953&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 -- Interpolation
tObservedLevelSlopeSeasonalStand. Residuals
10.330.33000
20.330.33000
30.320.325547553463312-0.00110958808084052-0.00112672123192428-0.47806646419675
40.310.319489494682229-0.00209551815660692-0.00211520701343752-0.712980987225531
50.320.318914356106884-0.00184326867045817-0.001824278700909190.265678712512504
60.330.317927574775784-0.001727412504267520.0069136158143450.385556332008392
70.330.321294101507454-0.00109240114621218-0.001030759435132150.883769843229638
80.350.328950509092068-0.000123703428388541-1.79700821684064e-051.83498504851481
90.350.3342013361553070.0004113993146101930.0004243161755959081.30348766695753
100.350.3380353969034060.0007209044498898520.0007431987054779780.933399760306686
110.350.3408923260073710.000888487910115096-0.003458860595163990.957876481425452
120.350.343403168146450.001013087653328150.0009542283378335940.465690733468965
130.350.3453238967363130.001077763018844740.001137665529675480.288228122881511
140.330.3431774916986940.000863572631638880.000705476545119915-1.11880424368867
150.330.3414635958757670.0007032434349347430.00064026792068157-0.966928629669423
160.330.3409497460669870.000636650789609086-0.00252855696861271-0.641613198343281
170.330.3395814317079630.0005253072221367820.000402159141959657-0.79367022194103
180.330.3384323840363470.0004372701879279430.000515098204260756-0.707104994997097
190.330.337514128119770.0003696446538933970.000228435677726914-0.608525464677166
200.330.3367317437833360.0003149970655384310.000265166954074665-0.547223354350822
210.330.3363958085775840.000287802670083691-0.00113613716626713-0.399443625854724
220.330.3357582715882790.000247544152747250.000150206868733676-0.460766508966378
230.310.332633361947130.000106947449010842-3.6582142589533e-05-1.75664703717846
240.310.329937566238519-5.0752440757108e-06-0.000228367468630077-1.52716982155655
250.330.329926477421432-5.30585792018011e-060.000117823760981303-0.00342188294861075
260.320.328945957830631-3.81492688436122e-053.15586390247379e-05-0.679771044574529
270.320.327885487318935-7.4715148932067e-05-3.58478194986138e-05-0.605298038396251
280.310.325857378830169-0.000142216835045354-0.000332436724954595-1.19497586211206
290.320.325134185724575-0.000161596952790067-0.000343885509355906-0.367931474556228
300.320.324453354321986-0.000178311047199377-1.13471083119103e-05-0.340425916768178
310.330.324722709676208-0.0001657057144136040.0006905522730373720.346517055381446
320.320.324105467740655-0.000179417247085945-0.000108995824361364-0.305993391638991
330.320.323572648385258-0.000189849788383594-0.000364704087804106-0.245351385732904
340.320.323091147584375-0.000198201490669582-0.000366272681150137-0.208097353861869
350.330.323553105541406-0.000179890465223818.9830797223234e-050.484679797157732
360.330.323852524042372-0.0001683041519225040.0007868412251784520.404324824003182
370.330.324262893843623-0.0001530384504918436.87508683091419e-060.436683001605818
380.320.323778520431074-0.000161578521114406-0.000435697593435177-0.254580110710912
390.320.323335096484495-0.000168651137292255-0.000425038795915294-0.221384286932312
400.320.322892099895422-0.0001753359038970111.3478481478181e-05-0.220753212690523
410.330.32320946455177-0.0001649035242470020.0008693379155404180.446104597371942
420.340.324448613346697-0.0001321660670122010.0003350735682922821.155875043968
430.320.324007946791838-0.000139224262636535-0.000618276505590315-0.257393741380428
440.320.323585458945428-0.000145551814915491-0.000413829215963564-0.240642780837309
450.330.323955274129516-0.000134355958274830.0001467228618179590.447018156149991
460.320.323509586942648-0.0001402225328922850.000460461823251767-0.298882263333826
470.330.323849211375143-0.0001302001767340530.0005537889968195780.424216247500433
480.320.323483578532018-0.000135043669450164-0.000709831001182807-0.210193806148133
490.30.321622831845106-0.000169785524136517-0.000972111911828439-1.5639314808795
500.330.322056603844674-0.0001579578774311850.0005812441207846710.55704109727526
510.310.321061673722448-0.0001721747262823950.000149095009241816-0.843601009188245
520.330.321502113419014-0.0001605889737458780.0009060907204498190.574504046803772
530.330.32200960578367-0.000148101301381415-0.000347779141977310.630953228696827
540.310.32109500886023-0.000162147806781871-0.00140307149405786-0.733032515496411
550.330.3215133817241-0.0001517877087625260.001020105872573810.564262458480467
560.320.321279470916796-0.000153058490355747-0.000133406227589622-0.0862174309431377
570.330.321685410552772-0.0001434015686023370.001029116821846810.550707350171192
580.320.321457355777815-0.000144851513933317-0.000348732752316981-0.083804020361342
590.310.32063953729616-0.000156170002347626-0.00172877976841362-0.673323386126446
600.330.321048197664633-0.0001469177109408610.001357101043635580.573467201933548
610.330.321498460636852-0.000138424947839268-0.0001247472482099910.648867454181598
620.330.32187372319585-0.0001302589475347560.001141850910583450.527530949486136
630.330.322313310601428-0.000121251412236027-8.47220461310181e-050.587034653781128
640.320.322173727568226-0.000121536327012382-0.00192136858670553-0.0190564525123545
650.320.321837484074471-0.0001247860256297780.00115994754833223-0.226199105940203
660.320.321621850498344-0.00012598227335335-0.000270692874007094-0.101631351739462
670.370.324550378587356-8.10207713036208e-050.002402144500262753.24951469666272
680.320.324223363089427-8.46309174642657e-05-0.000751023376481844-0.262156342914092
690.310.323353950515655-9.59683427275099e-05-0.00218659803450812-0.84289185692672
700.320.322970081819505-0.0001000175118686450.00117990067139608-0.313047145672937
710.320.32275280650045-0.000101456186327953-0.000964906899473741-0.134488189622328
720.310.3217055548361-0.0001144164142599750.00203824376288751-1.03705707195261
730.310.320893030851421-0.000123977558470173-0.000743859415792024-0.765964656953162
740.310.320224443792907-0.000131327386222228-0.00225126211140003-0.601605776712315
750.330.320619210377757-0.00012441791740620.001585915331382260.587828501693188
760.330.321097874769914-0.000117485740963498-0.0004921957580266870.706716872510318
770.310.320186866428689-0.0001276556057331320.00165234493369255-0.893090212874942
780.40.324955730813522-6.47915719987069e-050.002021102835784755.50967585554017
790.320.324800507931023-6.59366226043455e-05-0.00344361650014873-0.10235934614833
800.330.324964988794571-6.30985882426091e-050.001538801498153620.263607264119766
810.330.325230903343745-5.95388444133093e-05-0.0004517784093101830.392802977987276
820.320.324836229049183-6.35724633188056e-050.000279649790799103-0.385839593099311
830.320.324362620882088-6.8526497720878e-050.00188946175448389-0.471640796210138
840.320.324241403503833-6.91548576398075e-05-0.00343366399370411-0.060923785945097
850.320.32384009632272-7.30061368936847e-050.00130544461264613-0.387916435701105
860.320.323567545165677-7.50466286849298e-05-0.000349548449171469-0.242144995999793
870.320.323263224104829-7.76475314914197e-050.000307347561427924-0.269255881101942
880.320.322884604745164-8.10813790570014e-050.00179459330896294-0.352942330533312
890.320.322831113896032-8.07704508593135e-05-0.003262106563835670.0325042956184255
900.320.322513308529278-8.33664755688982e-050.00122622468227903-0.281898190288276
910.310.321747617476533-8.99845083241227e-05-0.000586707505149099-0.839945539498546
920.330.322103839179172-8.51981598147113e-050.0008239359752016270.533265809376861
930.310.321230507134412-9.37154512253527e-050.00123467151719116-0.940142921572856
940.330.321816025903646-8.64603198373623e-05-0.00260438530086950.813574373232429
950.350.323263457938991-7.05444184849813e-050.002144713295028251.85373588482876
960.310.322528856773555-7.66729629221193e-05-0.00152947589894377-0.827907580103767
970.330.322813741008372-7.29949828982336e-050.001365753171766130.438856376683534
980.310.321965923448378-8.09481215807324e-050.000477014508333025-0.938412128155631
990.310.321372318402923-8.6152166439173e-05-0.00310829160416573-0.623182782934974
1000.320.321076195034583-8.82219164291926e-050.00233865263318989-0.257407032746597
1010.340.322105209752272-7.83834959857832e-05-0.0008192370097696621.40877475557803
1020.320.321842049431632-8.01707456612101e-050.00117412128235834-0.22740566978114
1030.320.321627997863088-8.14792016807161e-050.000551511967653483-0.164366498624298
1040.320.321629984755753-8.06720404196733e-05-0.002993403542932890.102811642808664
1050.340.322457059664571-7.21505397673711e-050.002589718166324881.1271520977043
1060.310.321772546204541-7.73087372486971e-05-0.00141189626554997-0.780044374602296
1070.310.320977356574957-8.39268248382409e-050.000887375943425031-0.894527461255377
1080.310.320253313436844-8.98967972510369e-050.000295926914230104-0.795545818659407
1090.310.319771041635699-9.35195312829898e-05-0.00328470346885197-0.48911028145657
1100.310.318989575438996-9.96837060251186e-050.00247405632884114-0.864117611054608
1110.310.318464421698139-0.000103119554978808-0.00120042998648401-0.546968306071007
1120.330.318927584306148-9.81329887923122e-050.0016078901006460.713558190970702
1130.340.319968596398305-8.79741049842977e-050.00104902410414661.43148875512345
1140.340.321160625787475-7.66684676659091e-05-0.00254983933775561.61286957163922
1150.340.32198870133875-6.89147974784369e-050.002777474970042361.14832530156797
1160.330.322443007868607-6.48560127308503e-05-0.001449462322531070.678252209155854
1170.340.323271896310264-5.73235410759423e-050.001638500862088851.13764306688276
1180.350.324640851802611-4.51384120692108e-050.001351850052760651.8104066814154
1190.310.323985098710205-5.03072158985207e-05-0.00368100269994296-0.776986152684951
1200.310.323044691233336-5.76169493044691e-050.00208470676928664-1.1404710754771
1210.30.321858862572994-6.60392720946714e-05-0.00229270328009999-1.47363275485624
1220.320.32161061942188-6.75117007869984e-050.001494087426577-0.234071296927687
1230.330.321906452514218-6.45328935663126e-050.001921332007402910.465447555331825
1240.320.321928600459906-6.3828507733977e-05-0.003404491004021650.111290287581908
1250.330.322169477024097-6.1426477389146e-050.002606558968365680.393794614999779
1260.320.322121125832039-6.13323891723786e-05-0.002349443324444980.0171974835591854
1270.310.321349367929581-6.68465958041303e-050.000858274170010023-0.920363799870413
1280.330.321634423090775-6.4073761241531e-050.002337320150184560.454588811707753
1290.330.322205686811751-5.91098275814049e-05-0.003112550965636450.822437442637103
1300.320.321905293053911-6.09386075471106e-050.00226407786484129-0.314301774438575
1310.320.321858212688733-6.08423392296641e-05-0.002101730424594440.0183440031410355
1320.330.322190164435763-5.7909436424879e-050.001008041074780920.512804299057719
1330.330.322439021472465-5.55828474860168e-050.002265173197207360.399352435626817
1340.330.322949310000649-5.13259554419167e-05-0.002737281414451860.738065987759128
1350.310.32211654904729-5.70290064591569e-050.00148470357013454-1.02532424191655
1360.320.322058752843381-5.70341583443594e-05-0.00204519299946305-0.00102153185099913
1370.320.321849195960554-5.81313104868921e-050.000810733306357414-0.200538825311421
1380.320.321583388141178-5.96493856799132e-050.00202742844340782-0.272286888472044
1390.320.32157096870939-5.93068379793316e-05-0.002393628540993340.0620328452744698
1400.310.320836584590239-6.40574619518798e-050.000992149065638287-0.891714104394397
1410.330.32133621871817-6.03936935060053e-05-0.001353030149884610.754669004490735
1420.350.3227259681985-5.03306345046354e-050.001818272144489211.91917334223415
1430.330.322973791706289-4.82274108116577e-050.001807989910600560.393495666758738
1440.360.324972065305237-3.38995978477259e-05-0.000849299950360082.70531896324689
1450.320.324679138685951-3.56594870504746e-05-0.000112348711108337-0.344272529380375
1460.330.325014230403918-3.33244333203798e-05-0.001635588929810430.498884747032399
1470.320.324647504157711-3.55591448999817e-050.00124055200023205-0.443914366111751
1480.330.324824764294304-3.41086948914321e-050.001427662117659850.282594412266066
1490.320.324586805669686-3.54879461523295e-05-0.000991611914028618-0.271093447570131
1500.320.324326006709624-3.69676982829811e-05-0.000330831701489613-0.301182607972082
1510.320.324145234248481-3.78462706492632e-05-0.00156494512794491-0.194421439891591
1520.320.32383324124565-3.9623250930055e-050.00103562393542516-0.367073783787597
1530.330.324030167704047-3.80639232129952e-050.001780591117362780.315895679985238
1540.360.325887745659612-2.56553247902296e-050.0004925418006360062.53505260943293
1550.330.326117510377184-2.40319553113209e-05-0.0006707698717467550.343255898873261
1560.330.326377450654256-2.23473499350962e-05-0.001495102820258720.385625740922509
1570.320.325994576395686-2.46097127547422e-050.000441993986197687-0.485263580978016
1580.310.325090284510536-3.0224207494261e-050.000571708339451534-1.18099883565682
1590.330.325277072699347-2.88485046133535e-050.0008540286131342530.291726349219522
1600.320.325019679910754-3.02556778777567e-05-0.000925224791499209-0.308668306969617
1610.330.32530421353686-2.84407556690169e-05-0.001000567836774930.429248480407868
1620.320.324976575050984-3.02602773775228e-050.000391217739557337-0.404683647358338
1630.320.324664953407675-3.20006387669958e-050.000369411070194032-0.379612444721481
1640.430.3299295681489575.47508856012238e-070.005180292100311647.15490370840769
1650.320.32956211635547-1.64969353425812e-06-0.00293856832163441-0.499327823466281
1660.320.329139772999301-4.00903211888924e-06-0.00149756506972765-0.575896504651187
1670.320.328662168096099-6.80288463737694e-06-0.000126663691363427-0.643494787806564
1680.320.32827482002676-9.0862075449564e-06-0.00143396892915987-0.515820395600686
1690.330.328076474740014-1.02146066099671e-050.00532970474093723-0.2568288343225
1700.330.328298322002331-8.86974301292665e-06-0.002493384533077410.316250748450457
1710.340.328942400930788-5.30493878566103e-06-0.0008469071041754440.897115438282417
1720.320.328498722710937-7.81586362881539e-06-0.000564117213134653-0.598186127655009
1730.320.328128638941057-9.92619716564194e-06-0.00158778300702412-0.493190653324497
1740.310.326938030796625-1.67619429486542e-050.00440284024162938-1.60909297428777
1750.320.326688364552485-1.80731928879487e-05-0.00246082308319625-0.318697029551902
1760.330.326860738020418-1.70602465766704e-05-0.000344892667005210.262569017017032
1770.320.326520954656314-1.88565863030606e-05-0.000656079037100284-0.442144504145462
1780.320.32623100744582-2.03910256080208e-05-0.00131618304536167-0.370577880537124
1790.320.3256702744015-2.34313348779983e-050.00413607006999039-0.739380778146952
1800.320.32548003803762-2.4344420006342e-05-0.00244062086912417-0.229127130488945
1810.340.326182647173663-2.05749495258223e-050.0004746965474723571.00553091815147
1820.310.3253933006622-2.47367210919291e-05-0.00136933006116456-1.05723168016087
1830.320.325147089885834-2.59557313779645e-05-0.00111618332506024-0.303923909326408
1840.320.324652834808779-2.85184416339319e-050.00387858312400218-0.643240800642378
1850.310.324018839770269-3.17434770698996e-05-0.00294613907490757-0.834708740037389
1860.330.324235361058459-3.04876334887986e-050.001193874426808510.344466677302348
1870.320.324060066250909-3.12506396221142e-05-0.00140903378368994-0.199851473593758
1880.320.323872360554117-3.20886350950746e-05-0.00101436234116638-0.215483597016504
1890.330.323941785921173-3.15479517483648e-050.00420215745447270.13993757942979
1900.320.323866961679262-3.17724147325812e-05-0.00307282807988722-0.0598645031465069
1910.320.323583884336593-3.3013318286207e-050.00105640844725737-0.349709424127856
1920.320.323438430340599-3.35903970838557e-05-0.00137298410063691-0.155703644369349
1930.320.323284967929592-3.42156272571923e-05-0.00108763263776559-0.16566786142819
1940.330.323372950075283-3.35817281877198e-050.004385172426569340.169022791295535
1950.320.323323028578261-3.36643137042421e-05-0.00302221576588436-0.0226759686666664
1960.310.322581989130123-3.70759145699185e-050.000515937671421643-0.987112403460824
1970.320.322474154490559-3.74298838742713e-05-0.00117021602219322-0.098295594781324
1980.320.322368038616738-3.77789826051339e-05-0.00110483496026891-0.0952367544458774
1990.320.321993812350801-3.94799578869943e-050.00419876200923472-0.466868349209163
2000.310.321496603822122-4.17358552286402e-05-0.00304398510513154-0.637167886028056







Structural Time Series Model -- Extrapolation
tObservedLevelSeasonal
10.3045106384567980.310662943920275-0.00615230546347749
20.3099638342116830.308658516699330.00130531751235295
30.3083082251742310.3066540894783840.00165413569584721
40.3100197270336070.3046496622574390.00537006477616877
50.3004680225156010.302645235036493-0.00217721252089144
60.294488502352070.300640807815547-0.00615230546347749
70.2999416981069550.2986363805946020.00130531751235295
80.2982860890695030.2966319533736560.00165413569584721
90.2999975909288790.294627526152710.00537006477616877
100.2904458864108730.292623098931765-0.00217721252089144

\begin{tabular}{lllllllll}
\hline
Structural Time Series Model -- Extrapolation \tabularnewline
t & Observed & Level & Seasonal \tabularnewline
1 & 0.304510638456798 & 0.310662943920275 & -0.00615230546347749 \tabularnewline
2 & 0.309963834211683 & 0.30865851669933 & 0.00130531751235295 \tabularnewline
3 & 0.308308225174231 & 0.306654089478384 & 0.00165413569584721 \tabularnewline
4 & 0.310019727033607 & 0.304649662257439 & 0.00537006477616877 \tabularnewline
5 & 0.300468022515601 & 0.302645235036493 & -0.00217721252089144 \tabularnewline
6 & 0.29448850235207 & 0.300640807815547 & -0.00615230546347749 \tabularnewline
7 & 0.299941698106955 & 0.298636380594602 & 0.00130531751235295 \tabularnewline
8 & 0.298286089069503 & 0.296631953373656 & 0.00165413569584721 \tabularnewline
9 & 0.299997590928879 & 0.29462752615271 & 0.00537006477616877 \tabularnewline
10 & 0.290445886410873 & 0.292623098931765 & -0.00217721252089144 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=318953&T=2

[TABLE]
[ROW][C]Structural Time Series Model -- Extrapolation[/C][/ROW]
[ROW][C]t[/C][C]Observed[/C][C]Level[/C][C]Seasonal[/C][/ROW]
[ROW][C]1[/C][C]0.304510638456798[/C][C]0.310662943920275[/C][C]-0.00615230546347749[/C][/ROW]
[ROW][C]2[/C][C]0.309963834211683[/C][C]0.30865851669933[/C][C]0.00130531751235295[/C][/ROW]
[ROW][C]3[/C][C]0.308308225174231[/C][C]0.306654089478384[/C][C]0.00165413569584721[/C][/ROW]
[ROW][C]4[/C][C]0.310019727033607[/C][C]0.304649662257439[/C][C]0.00537006477616877[/C][/ROW]
[ROW][C]5[/C][C]0.300468022515601[/C][C]0.302645235036493[/C][C]-0.00217721252089144[/C][/ROW]
[ROW][C]6[/C][C]0.29448850235207[/C][C]0.300640807815547[/C][C]-0.00615230546347749[/C][/ROW]
[ROW][C]7[/C][C]0.299941698106955[/C][C]0.298636380594602[/C][C]0.00130531751235295[/C][/ROW]
[ROW][C]8[/C][C]0.298286089069503[/C][C]0.296631953373656[/C][C]0.00165413569584721[/C][/ROW]
[ROW][C]9[/C][C]0.299997590928879[/C][C]0.29462752615271[/C][C]0.00537006477616877[/C][/ROW]
[ROW][C]10[/C][C]0.290445886410873[/C][C]0.292623098931765[/C][C]-0.00217721252089144[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=318953&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=318953&T=2

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 -- Extrapolation
tObservedLevelSeasonal
10.3045106384567980.310662943920275-0.00615230546347749
20.3099638342116830.308658516699330.00130531751235295
30.3083082251742310.3066540894783840.00165413569584721
40.3100197270336070.3046496622574390.00537006477616877
50.3004680225156010.302645235036493-0.00217721252089144
60.294488502352070.300640807815547-0.00615230546347749
70.2999416981069550.2986363805946020.00130531751235295
80.2982860890695030.2966319533736560.00165413569584721
90.2999975909288790.294627526152710.00537006477616877
100.2904458864108730.292623098931765-0.00217721252089144



Parameters (Session):
par1 = 5 ; par2 = 10 ; par3 = BFGS ;
Parameters (R input):
par1 = 5 ; par2 = 10 ; par3 = BFGS ;
R code (references can be found in the software module):
par3 <- 'BFGS'
par2 <- '3'
par1 <- '12'
require('stsm')
require('stsm.class')
require('KFKSDS')
par1 <- as.numeric(par1)
par2 <- as.numeric(par2)
nx <- length(x)
x <- ts(x,frequency=par1)
m <- StructTS(x,type='BSM')
print(m$coef)
print(m$fitted)
print(m$resid)
mylevel <- as.numeric(m$fitted[,'level'])
myslope <- as.numeric(m$fitted[,'slope'])
myseas <- as.numeric(m$fitted[,'sea'])
myresid <- as.numeric(m$resid)
myfit <- mylevel+myseas
mm <- stsm.model(model = 'BSM', y = x, transPars = 'StructTS')
fit2 <- stsmFit(mm, stsm.method = 'maxlik.td.optim', method = par3, KF.args = list(P0cov = TRUE))
(fit2.comps <- tsSmooth(fit2, P0cov = FALSE)$states)
m2 <- set.pars(mm, pmax(fit2$par, .Machine$double.eps))
(ss <- char2numeric(m2))
(pred <- predict(ss, x, n.ahead = par2))
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()
bitmap(file='test6.png')
par(mfrow = c(3,1), mar = c(3,3,3,3))
plot(cbind(x, pred$pred), type = 'n', plot.type = 'single', ylab = '')
lines(x)
polygon(c(time(pred$pred), rev(time(pred$pred))), c(pred$pred + 2 * pred$se, rev(pred$pred)), col = 'gray85', border = NA)
polygon(c(time(pred$pred), rev(time(pred$pred))), c(pred$pred - 2 * pred$se, rev(pred$pred)), col = ' gray85', border = NA)
lines(pred$pred, col = 'blue', lwd = 1.5)
mtext(text = 'forecasts of the observed series', side = 3, adj = 0)
plot(cbind(x, pred$a[,1]), type = 'n', plot.type = 'single', ylab = '')
lines(x)
polygon(c(time(pred$a[,1]), rev(time(pred$a[,1]))), c(pred$a[,1] + 2 * sqrt(pred$P[,1]), rev(pred$a[,1])), col = 'gray85', border = NA)
polygon(c(time(pred$a[,1]), rev(time(pred$a[,1]))), c(pred$a[,1] - 2 * sqrt(pred$P[,1]), rev(pred$a[,1])), col = ' gray85', border = NA)
lines(pred$a[,1], col = 'blue', lwd = 1.5)
mtext(text = 'forecasts of the level component', side = 3, adj = 0)
plot(cbind(fit2.comps[,3], pred$a[,3]), type = 'n', plot.type = 'single', ylab = '')
lines(fit2.comps[,3])
polygon(c(time(pred$a[,3]), rev(time(pred$a[,3]))), c(pred$a[,3] + 2 * sqrt(pred$P[,3]), rev(pred$a[,3])), col = 'gray85', border = NA)
polygon(c(time(pred$a[,3]), rev(time(pred$a[,3]))), c(pred$a[,3] - 2 * sqrt(pred$P[,3]), rev(pred$a[,3])), col = ' gray85', border = NA)
lines(pred$a[,3], col = 'blue', lwd = 1.5)
mtext(text = 'forecasts of the seasonal component', side = 3, adj = 0)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Structural Time Series Model -- Interpolation',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')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Structural Time Series Model -- Extrapolation',4,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,'Seasonal',header=TRUE)
a<-table.row.end(a)
for (i in 1:par2) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,pred$pred[i])
a<-table.element(a,pred$a[i,1])
a<-table.element(a,pred$a[i,3])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')