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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_structuraltimeseries.wasp
Title produced by softwareStructural Time Series Models
Date of computationSun, 26 Dec 2010 13:32:25 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/26/t1293370265yojxu3s9qh9tb3z.htm/, Retrieved Thu, 02 May 2024 15:18:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=115604, Retrieved Thu, 02 May 2024 15:18:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact230
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [HPC Retail Sales] [2008-03-02 15:42:48] [74be16979710d4c4e7c6647856088456]
- RMPD  [Structural Time Series Models] [HPC Retail Sales] [2008-03-06 16:52:55] [74be16979710d4c4e7c6647856088456]
- R  D    [Structural Time Series Models] [HPC Retail Sales] [2008-03-08 11:33:35] [74be16979710d4c4e7c6647856088456]
-  M D      [Structural Time Series Models] [WS5 - monthly bir...] [2010-12-08 15:29:30] [8ed0bd3560b9ca2814a2ed0a29182575]
-    D          [Structural Time Series Models] [STSM Dollar] [2010-12-26 13:32:25] [c9d5faca36bd2ada281161976df30bf1] [Current]
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Dataseries X:
0,8973
0,9383
0,9217
0,9095
0,892
0,8742
0,8532
0,8607
0,9005
0,9111
0,9059
0,8883
0,8924
0,8833
0,87
0,8758
0,8858
0,917
0,9554
0,9922
0,9778
0,9808
0,9811
1,0014
1,0183
1,0622
1,0773
1,0807
1,0848
1,1582
1,1663
1,1372
1,1139
1,1222
1,1692
1,1702
1,2286
1,2613
1,2646
1,2262
1,1985
1,2007
1,2138
1,2266
1,2176
1,2218
1,249
1,2991
1,3408
1,3119
1,3014
1,3201
1,2938
1,2694
1,2165
1,2037
1,2292
1,2256
1,2015
1,1786
1,1856
1,2103
1,1938
1,202
1,2271
1,277
1,265
1,2684
1,2811
1,2727
1,2611
1,2881
1,3213
1,2999
1,3074
1,3242
1,3516
1,3511
1,3419
1,3716
1,3622
1,3896
1,4227
1,4684
1,457
1,4718
1,4748
1,5527
1,575
1,5557
1,5553
1,577
1,4975
1,4369
1,3322
1,2732
1,3449
1,3239
1,2785
1,305
1,319
1,365
1,4016
1,4088
1,4268
1,4562
1,4816
1,4914
1,4614
1,4272
1,3686
1,3569
1,3406
1,2565
1,2208
1,277
1,2894
1,3067
1,3898
1,3661




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time22 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 22 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=115604&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]22 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=115604&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=115604&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time22 seconds
R Server'George Udny Yule' @ 72.249.76.132







Structural Time Series Model
tObservedLevelSlopeSeasonalStand. Residuals
10.89730.8973000
20.93830.9361680000758570.002131999981607670.002131999924143490.719789379959892
30.92170.9196426294853430.002057370514656870.00205737051465687-0.576589013356853
40.90950.9074992063513080.002000793648691970.00200079364869197-0.43885908541227
50.8920.8900762845855040.001923715414496090.00192371541449609-0.600262709021044
60.87420.872353937006820.001846062993179540.00184606299317955-0.60712930680806
70.85320.8514435294089050.001756470591094950.00175647059109495-0.70324589433565
80.86070.8589210937476030.001778906252396940.001778906252396940.176798275288377
90.90050.8985731517515510.001926848248448910.001926848248448911.17038054590496
100.91110.9091395348849680.001960465115031640.001960465115031640.266982454359909
110.90590.9039671814678740.001932818532125900.00193281853212590-0.22041963125948
120.88830.8864423076915090.001857692308491090.00185769230849110-0.601280598491724
130.89240.905042782002020.00114934384135221-0.01264278200201930.625104324837924
140.88330.8827189092438360.0005810909176224560.00058109075616367-0.617150691080449
150.870.8694441016126880.0005558983873115580.000555898387311558-0.427738378143892
160.87580.8752346014290860.000565398570914010.0005653985709140080.161594444562762
170.88580.8852175406678660.0005824593321341590.0005824593321341580.290723138479871
180.9170.9163622743517440.0006377256482556140.0006377256482556130.943467737986584
190.95540.9546942342211860.0007057657788141930.0007057657788141881.16363185376618
200.99220.9914293165369840.0007706834630161120.0007706834630161161.11223356048264
210.97780.9770565529511770.0007434470488226530.000743447048822651-0.467481051705424
220.98080.9800525089496740.0007474910503257730.0007474910503257740.0695352618423683
230.98110.9803533094702970.000746690529703110.00074669052970311-0.0137893760960925
241.00141.000618392847980.0007816071520236520.0007816071520236570.602533546637026
251.01831.022367253987450.000369750381056052-0.004067253987451860.713132395721076
261.06221.061232353252180.000967647092140390.0009676467478230251.07923218202040
271.07731.076315746161160.0009842538388363160.0009842538388363160.435620405996686
281.08071.079712910778580.0009870892214241750.0009870892214241760.0744638262205396
291.08481.083809261411020.000990738588980930.0009907385889809250.0959535445590255
301.15821.157124473055580.0010755269444150.001075526944415002.23197211870050
311.16631.165216257298290.001083742701709460.001083742701709460.216525323582058
321.13721.13615151867710.00104848132290060.00104848132290060-0.930397066629317
331.11391.112879929971560.001020070028436370.00102007002843637-0.750528895038914
341.12221.121171445205380.001028554794618330.001028554794618330.224400094803468
351.16921.168117927811320.001082072188681320.001082072188681321.41704710199551
361.17021.169118023244090.001081976755911460.00108197675591147-0.00252983641068476
371.22861.231830479102560.000293679943058873-0.003230479102558362.03015823521528
381.26131.260679826419860.0006201739517839610.0006201735801405590.822743273075176
391.26461.263977497792100.0006225022078956580.0006225022078956560.0826165150682867
401.22621.225611371488130.0005886285118687320.000588628511868731-1.20302763429544
411.19851.197935906288940.000564093711057030.000564093711057025-0.872112569222154
421.20071.200134488692660.0005655113073355730.0005655113073355690.0504335151012443
431.21381.213223636322720.0005763636772817620.0005763636772817570.386427123844363
441.22661.226013062244040.0005869377559616290.0005869377559616310.376843963350759
451.21761.217021348274020.000578651725984660.000578651725984655-0.295556974759445
461.22181.221218221030610.0005817789693950240.0005817789693950230.111643067623664
471.2491.248395254492160.0006047455078399220.0006047455078399240.820617276699492
481.29911.298452586174080.0006474138259165060.0006474138259165131.52589746785340
491.34081.343309992247430.000228181150751563-0.002509992247431251.43289733918776
501.31191.31195751751124-5.75172094124582e-05-5.75175112391054e-05-0.923787347527385
511.30141.30146471394875-6.47139487463972e-05-6.47139487463975e-05-0.321960909050973
521.32011.32015179059389-5.17905938875944e-05-5.17905938875955e-050.578550687159317
531.29381.29386985542915-6.98554291530096e-05-6.98554291530128e-05-0.809280825252152
541.26941.26948658867612-8.65886761151433e-05-8.6588676115135e-05-0.75014351780507
551.21651.21662288654811-0.000122886548113697-0.000122886548113710-1.62833588646427
561.20371.20383159335556-0.000131593355556708-0.000131593355556709-0.390859123249421
571.22921.2293140013242-0.000114001324198682-0.0001140013241986870.790270159476723
581.22561.22571639226945-0.000116392269450691-0.000116392269450689-0.107479911221673
591.20151.20163283065485-0.000132830654854464-0.000132830654854457-0.739460015823206
601.17861.17874842460423-0.000148424604234408-0.000148424604234397-0.701955083145818
611.18561.18355654658199-0.0001857684471812410.002043453418006040.159080800000323
621.21031.210284343381081.56572096051783e-051.56566189187376e-050.794887083394606
631.19381.193793774903666.22509633846648e-066.22509633846237e-06-0.509238108595697
641.2021.201989098092321.09019076806727e-051.09019076806693e-050.252644075485236
651.22711.227074786002352.52139976462872e-052.52139976462837e-050.77358886463599
661.2771.276946351123625.36488763778315e-055.36488763778158e-051.53782273133959
671.2651.264953219298424.67807015782706e-054.67807015782585e-05-0.371658301438412
681.26841.268351309720574.86902794334402e-054.86902794334381e-050.103392093456135
691.28111.281044109204055.58907959477543e-055.58907959477515e-050.390086508713718
701.27271.272648919152475.10808475273547e-055.10808475273545e-05-0.260726322077641
711.26111.261055542847084.44571529172106e-054.44571529172181e-05-0.359245882233398
721.28811.288040227200405.97727995974264e-055.97727995974367e-050.831139141747973
731.32131.31977953232277-0.0001382242697619540.001520467677232521.01010353885725
741.29991.30016253715576-0.000262536511629337-0.000262537155756682-0.579149806124275
751.30741.30765875176239-0.00025875176239054-0.0002587517623905470.239357361856446
761.32421.32445043853225-0.000250438532250292-0.0002504385322502940.526005722246638
771.35161.35183697022595-0.000236970225948186-0.0002369702259481890.852599933467548
781.35111.35133709828326-0.000237098283260704-0.000237098283260719-0.00811051131064872
791.34191.34214145979171-0.000241459791714629-0.000241459791714642-0.276370706043170
801.37161.37182689682788-0.000226896827884425-0.0002268968278844250.923243791336669
811.36221.36243135628403-0.000231356284027731-0.000231356284027736-0.282852326226023
821.38961.38981792997178-0.000217929971779064-0.0002179299717790630.85201203765279
831.42271.42290174836754-0.000201748367538827-0.0002017483675388171.02735748709004
841.46841.46857946596999-0.000179465969991662-0.0001794659699916541.41537936052940
851.4571.45576785886849-0.0001120127923091050.00123214113150733-0.400885417667154
861.47181.47182208552311-2.20850528384655e-05-2.20855231064326e-050.483015563945238
871.47481.47482079960929-2.07996092865899e-05-2.07996092865991e-050.0931887102666743
881.55271.552687670025481.23299745226668e-051.23299745226656e-052.40275850807065
891.5751.574978198004762.18019952362484e-052.1801995236246e-050.687260575964102
901.55571.555686406075031.35939249668178e-051.35939249668084e-05-0.595805391588276
911.55531.555286581698741.34183012611066e-051.34183012610881e-05-0.0127535471442651
921.5771.576977376869982.26231300223300e-052.26231300223298e-050.668725651736666
931.49751.49751111577719-1.11157771902430e-05-1.11157771902597e-05-2.45215329503835
941.43691.43693681080259-3.68108025855725e-05-3.68108025855654e-05-1.86831419303888
951.33221.33228117840090-8.11784009049724e-05-8.11784009049554e-05-3.22738637555187
961.27321.27330614399737-0.000106143997373435-0.000106143997373419-1.81681659651114
971.34491.34029250321298-0.0004188632752014340.004607496787015182.12168274049330
981.32391.32439517043736-0.000495169729131669-0.000495170437359888-0.464198006944616
991.27851.27901210851334-0.00051210851334077-0.000512108513340797-1.38471439959318
1001.3051.30550192295480-0.000501922954796684-0.0005019229547966860.832962897304774
1011.3191.3194964567207-0.000496456720698833-0.0004964567206988330.447190733508145
1021.3651.36547893733704-0.000478937337035333-0.0004789373370353581.43379509933716
1031.40161.40206497163934-0.000464971639336542-0.0004649716393365591.14339040360970
1041.40881.40926208573211-0.000462085732113682-0.0004620857321136830.236362103863591
1051.42681.42725513726362-0.000455137263621688-0.0004551372636216960.569309051615043
1061.45621.45664390508557-0.000443905085569105-0.0004439050855691030.920632767706364
1071.48161.48203418568047-0.000434185680468259-0.0004341856804682460.796939814445722
1081.49141.49183033824327-0.000430338243272688-0.0004303382432726660.315588166222294
1091.46141.45817752628093-0.0002929520821801220.00322247371907478-1.04770908504202
1101.42721.42762688198742-0.000426881272697738-0.000426881987422614-0.910106933769154
1111.36861.36904659423600-0.000446594236002106-0.000446594236002148-1.79389832891346
1121.35691.35735040636418-0.000450406364182928-0.000450406364182928-0.347023970123027
1131.34061.34105577364792-0.000455773647923225-0.000455773647923226-0.488757744923583
1141.25651.25698408922047-0.000484089220465286-0.000484089220465286-2.57935734701830
1151.22081.22129600661479-0.000496006614790545-0.000496006614790565-1.08596166606329
1161.2771.27747682664536-0.00047682664535952-0.0004768266453595181.74834874251846
1171.28941.28987247195385-0.000472471953850926-0.0004724719538509360.397085902614751
1181.30671.30716646368251-0.00046646368250685-0.0004664636825068470.548054164694782
1191.38981.39023822223652-0.000438222236516553-0.0004382222365165462.57696009795879
1201.36611.36654608094287-0.000446080942870452-0.000446080942870432-0.717329343443493

\begin{tabular}{lllllllll}
\hline
Structural Time Series Model \tabularnewline
t & Observed & Level & Slope & Seasonal & Stand. Residuals \tabularnewline
1 & 0.8973 & 0.8973 & 0 & 0 & 0 \tabularnewline
2 & 0.9383 & 0.936168000075857 & 0.00213199998160767 & 0.00213199992414349 & 0.719789379959892 \tabularnewline
3 & 0.9217 & 0.919642629485343 & 0.00205737051465687 & 0.00205737051465687 & -0.576589013356853 \tabularnewline
4 & 0.9095 & 0.907499206351308 & 0.00200079364869197 & 0.00200079364869197 & -0.43885908541227 \tabularnewline
5 & 0.892 & 0.890076284585504 & 0.00192371541449609 & 0.00192371541449609 & -0.600262709021044 \tabularnewline
6 & 0.8742 & 0.87235393700682 & 0.00184606299317954 & 0.00184606299317955 & -0.60712930680806 \tabularnewline
7 & 0.8532 & 0.851443529408905 & 0.00175647059109495 & 0.00175647059109495 & -0.70324589433565 \tabularnewline
8 & 0.8607 & 0.858921093747603 & 0.00177890625239694 & 0.00177890625239694 & 0.176798275288377 \tabularnewline
9 & 0.9005 & 0.898573151751551 & 0.00192684824844891 & 0.00192684824844891 & 1.17038054590496 \tabularnewline
10 & 0.9111 & 0.909139534884968 & 0.00196046511503164 & 0.00196046511503164 & 0.266982454359909 \tabularnewline
11 & 0.9059 & 0.903967181467874 & 0.00193281853212590 & 0.00193281853212590 & -0.22041963125948 \tabularnewline
12 & 0.8883 & 0.886442307691509 & 0.00185769230849109 & 0.00185769230849110 & -0.601280598491724 \tabularnewline
13 & 0.8924 & 0.90504278200202 & 0.00114934384135221 & -0.0126427820020193 & 0.625104324837924 \tabularnewline
14 & 0.8833 & 0.882718909243836 & 0.000581090917622456 & 0.00058109075616367 & -0.617150691080449 \tabularnewline
15 & 0.87 & 0.869444101612688 & 0.000555898387311558 & 0.000555898387311558 & -0.427738378143892 \tabularnewline
16 & 0.8758 & 0.875234601429086 & 0.00056539857091401 & 0.000565398570914008 & 0.161594444562762 \tabularnewline
17 & 0.8858 & 0.885217540667866 & 0.000582459332134159 & 0.000582459332134158 & 0.290723138479871 \tabularnewline
18 & 0.917 & 0.916362274351744 & 0.000637725648255614 & 0.000637725648255613 & 0.943467737986584 \tabularnewline
19 & 0.9554 & 0.954694234221186 & 0.000705765778814193 & 0.000705765778814188 & 1.16363185376618 \tabularnewline
20 & 0.9922 & 0.991429316536984 & 0.000770683463016112 & 0.000770683463016116 & 1.11223356048264 \tabularnewline
21 & 0.9778 & 0.977056552951177 & 0.000743447048822653 & 0.000743447048822651 & -0.467481051705424 \tabularnewline
22 & 0.9808 & 0.980052508949674 & 0.000747491050325773 & 0.000747491050325774 & 0.0695352618423683 \tabularnewline
23 & 0.9811 & 0.980353309470297 & 0.00074669052970311 & 0.00074669052970311 & -0.0137893760960925 \tabularnewline
24 & 1.0014 & 1.00061839284798 & 0.000781607152023652 & 0.000781607152023657 & 0.602533546637026 \tabularnewline
25 & 1.0183 & 1.02236725398745 & 0.000369750381056052 & -0.00406725398745186 & 0.713132395721076 \tabularnewline
26 & 1.0622 & 1.06123235325218 & 0.00096764709214039 & 0.000967646747823025 & 1.07923218202040 \tabularnewline
27 & 1.0773 & 1.07631574616116 & 0.000984253838836316 & 0.000984253838836316 & 0.435620405996686 \tabularnewline
28 & 1.0807 & 1.07971291077858 & 0.000987089221424175 & 0.000987089221424176 & 0.0744638262205396 \tabularnewline
29 & 1.0848 & 1.08380926141102 & 0.00099073858898093 & 0.000990738588980925 & 0.0959535445590255 \tabularnewline
30 & 1.1582 & 1.15712447305558 & 0.001075526944415 & 0.00107552694441500 & 2.23197211870050 \tabularnewline
31 & 1.1663 & 1.16521625729829 & 0.00108374270170946 & 0.00108374270170946 & 0.216525323582058 \tabularnewline
32 & 1.1372 & 1.1361515186771 & 0.0010484813229006 & 0.00104848132290060 & -0.930397066629317 \tabularnewline
33 & 1.1139 & 1.11287992997156 & 0.00102007002843637 & 0.00102007002843637 & -0.750528895038914 \tabularnewline
34 & 1.1222 & 1.12117144520538 & 0.00102855479461833 & 0.00102855479461833 & 0.224400094803468 \tabularnewline
35 & 1.1692 & 1.16811792781132 & 0.00108207218868132 & 0.00108207218868132 & 1.41704710199551 \tabularnewline
36 & 1.1702 & 1.16911802324409 & 0.00108197675591146 & 0.00108197675591147 & -0.00252983641068476 \tabularnewline
37 & 1.2286 & 1.23183047910256 & 0.000293679943058873 & -0.00323047910255836 & 2.03015823521528 \tabularnewline
38 & 1.2613 & 1.26067982641986 & 0.000620173951783961 & 0.000620173580140559 & 0.822743273075176 \tabularnewline
39 & 1.2646 & 1.26397749779210 & 0.000622502207895658 & 0.000622502207895656 & 0.0826165150682867 \tabularnewline
40 & 1.2262 & 1.22561137148813 & 0.000588628511868732 & 0.000588628511868731 & -1.20302763429544 \tabularnewline
41 & 1.1985 & 1.19793590628894 & 0.00056409371105703 & 0.000564093711057025 & -0.872112569222154 \tabularnewline
42 & 1.2007 & 1.20013448869266 & 0.000565511307335573 & 0.000565511307335569 & 0.0504335151012443 \tabularnewline
43 & 1.2138 & 1.21322363632272 & 0.000576363677281762 & 0.000576363677281757 & 0.386427123844363 \tabularnewline
44 & 1.2266 & 1.22601306224404 & 0.000586937755961629 & 0.000586937755961631 & 0.376843963350759 \tabularnewline
45 & 1.2176 & 1.21702134827402 & 0.00057865172598466 & 0.000578651725984655 & -0.295556974759445 \tabularnewline
46 & 1.2218 & 1.22121822103061 & 0.000581778969395024 & 0.000581778969395023 & 0.111643067623664 \tabularnewline
47 & 1.249 & 1.24839525449216 & 0.000604745507839922 & 0.000604745507839924 & 0.820617276699492 \tabularnewline
48 & 1.2991 & 1.29845258617408 & 0.000647413825916506 & 0.000647413825916513 & 1.52589746785340 \tabularnewline
49 & 1.3408 & 1.34330999224743 & 0.000228181150751563 & -0.00250999224743125 & 1.43289733918776 \tabularnewline
50 & 1.3119 & 1.31195751751124 & -5.75172094124582e-05 & -5.75175112391054e-05 & -0.923787347527385 \tabularnewline
51 & 1.3014 & 1.30146471394875 & -6.47139487463972e-05 & -6.47139487463975e-05 & -0.321960909050973 \tabularnewline
52 & 1.3201 & 1.32015179059389 & -5.17905938875944e-05 & -5.17905938875955e-05 & 0.578550687159317 \tabularnewline
53 & 1.2938 & 1.29386985542915 & -6.98554291530096e-05 & -6.98554291530128e-05 & -0.809280825252152 \tabularnewline
54 & 1.2694 & 1.26948658867612 & -8.65886761151433e-05 & -8.6588676115135e-05 & -0.75014351780507 \tabularnewline
55 & 1.2165 & 1.21662288654811 & -0.000122886548113697 & -0.000122886548113710 & -1.62833588646427 \tabularnewline
56 & 1.2037 & 1.20383159335556 & -0.000131593355556708 & -0.000131593355556709 & -0.390859123249421 \tabularnewline
57 & 1.2292 & 1.2293140013242 & -0.000114001324198682 & -0.000114001324198687 & 0.790270159476723 \tabularnewline
58 & 1.2256 & 1.22571639226945 & -0.000116392269450691 & -0.000116392269450689 & -0.107479911221673 \tabularnewline
59 & 1.2015 & 1.20163283065485 & -0.000132830654854464 & -0.000132830654854457 & -0.739460015823206 \tabularnewline
60 & 1.1786 & 1.17874842460423 & -0.000148424604234408 & -0.000148424604234397 & -0.701955083145818 \tabularnewline
61 & 1.1856 & 1.18355654658199 & -0.000185768447181241 & 0.00204345341800604 & 0.159080800000323 \tabularnewline
62 & 1.2103 & 1.21028434338108 & 1.56572096051783e-05 & 1.56566189187376e-05 & 0.794887083394606 \tabularnewline
63 & 1.1938 & 1.19379377490366 & 6.22509633846648e-06 & 6.22509633846237e-06 & -0.509238108595697 \tabularnewline
64 & 1.202 & 1.20198909809232 & 1.09019076806727e-05 & 1.09019076806693e-05 & 0.252644075485236 \tabularnewline
65 & 1.2271 & 1.22707478600235 & 2.52139976462872e-05 & 2.52139976462837e-05 & 0.77358886463599 \tabularnewline
66 & 1.277 & 1.27694635112362 & 5.36488763778315e-05 & 5.36488763778158e-05 & 1.53782273133959 \tabularnewline
67 & 1.265 & 1.26495321929842 & 4.67807015782706e-05 & 4.67807015782585e-05 & -0.371658301438412 \tabularnewline
68 & 1.2684 & 1.26835130972057 & 4.86902794334402e-05 & 4.86902794334381e-05 & 0.103392093456135 \tabularnewline
69 & 1.2811 & 1.28104410920405 & 5.58907959477543e-05 & 5.58907959477515e-05 & 0.390086508713718 \tabularnewline
70 & 1.2727 & 1.27264891915247 & 5.10808475273547e-05 & 5.10808475273545e-05 & -0.260726322077641 \tabularnewline
71 & 1.2611 & 1.26105554284708 & 4.44571529172106e-05 & 4.44571529172181e-05 & -0.359245882233398 \tabularnewline
72 & 1.2881 & 1.28804022720040 & 5.97727995974264e-05 & 5.97727995974367e-05 & 0.831139141747973 \tabularnewline
73 & 1.3213 & 1.31977953232277 & -0.000138224269761954 & 0.00152046767723252 & 1.01010353885725 \tabularnewline
74 & 1.2999 & 1.30016253715576 & -0.000262536511629337 & -0.000262537155756682 & -0.579149806124275 \tabularnewline
75 & 1.3074 & 1.30765875176239 & -0.00025875176239054 & -0.000258751762390547 & 0.239357361856446 \tabularnewline
76 & 1.3242 & 1.32445043853225 & -0.000250438532250292 & -0.000250438532250294 & 0.526005722246638 \tabularnewline
77 & 1.3516 & 1.35183697022595 & -0.000236970225948186 & -0.000236970225948189 & 0.852599933467548 \tabularnewline
78 & 1.3511 & 1.35133709828326 & -0.000237098283260704 & -0.000237098283260719 & -0.00811051131064872 \tabularnewline
79 & 1.3419 & 1.34214145979171 & -0.000241459791714629 & -0.000241459791714642 & -0.276370706043170 \tabularnewline
80 & 1.3716 & 1.37182689682788 & -0.000226896827884425 & -0.000226896827884425 & 0.923243791336669 \tabularnewline
81 & 1.3622 & 1.36243135628403 & -0.000231356284027731 & -0.000231356284027736 & -0.282852326226023 \tabularnewline
82 & 1.3896 & 1.38981792997178 & -0.000217929971779064 & -0.000217929971779063 & 0.85201203765279 \tabularnewline
83 & 1.4227 & 1.42290174836754 & -0.000201748367538827 & -0.000201748367538817 & 1.02735748709004 \tabularnewline
84 & 1.4684 & 1.46857946596999 & -0.000179465969991662 & -0.000179465969991654 & 1.41537936052940 \tabularnewline
85 & 1.457 & 1.45576785886849 & -0.000112012792309105 & 0.00123214113150733 & -0.400885417667154 \tabularnewline
86 & 1.4718 & 1.47182208552311 & -2.20850528384655e-05 & -2.20855231064326e-05 & 0.483015563945238 \tabularnewline
87 & 1.4748 & 1.47482079960929 & -2.07996092865899e-05 & -2.07996092865991e-05 & 0.0931887102666743 \tabularnewline
88 & 1.5527 & 1.55268767002548 & 1.23299745226668e-05 & 1.23299745226656e-05 & 2.40275850807065 \tabularnewline
89 & 1.575 & 1.57497819800476 & 2.18019952362484e-05 & 2.1801995236246e-05 & 0.687260575964102 \tabularnewline
90 & 1.5557 & 1.55568640607503 & 1.35939249668178e-05 & 1.35939249668084e-05 & -0.595805391588276 \tabularnewline
91 & 1.5553 & 1.55528658169874 & 1.34183012611066e-05 & 1.34183012610881e-05 & -0.0127535471442651 \tabularnewline
92 & 1.577 & 1.57697737686998 & 2.26231300223300e-05 & 2.26231300223298e-05 & 0.668725651736666 \tabularnewline
93 & 1.4975 & 1.49751111577719 & -1.11157771902430e-05 & -1.11157771902597e-05 & -2.45215329503835 \tabularnewline
94 & 1.4369 & 1.43693681080259 & -3.68108025855725e-05 & -3.68108025855654e-05 & -1.86831419303888 \tabularnewline
95 & 1.3322 & 1.33228117840090 & -8.11784009049724e-05 & -8.11784009049554e-05 & -3.22738637555187 \tabularnewline
96 & 1.2732 & 1.27330614399737 & -0.000106143997373435 & -0.000106143997373419 & -1.81681659651114 \tabularnewline
97 & 1.3449 & 1.34029250321298 & -0.000418863275201434 & 0.00460749678701518 & 2.12168274049330 \tabularnewline
98 & 1.3239 & 1.32439517043736 & -0.000495169729131669 & -0.000495170437359888 & -0.464198006944616 \tabularnewline
99 & 1.2785 & 1.27901210851334 & -0.00051210851334077 & -0.000512108513340797 & -1.38471439959318 \tabularnewline
100 & 1.305 & 1.30550192295480 & -0.000501922954796684 & -0.000501922954796686 & 0.832962897304774 \tabularnewline
101 & 1.319 & 1.3194964567207 & -0.000496456720698833 & -0.000496456720698833 & 0.447190733508145 \tabularnewline
102 & 1.365 & 1.36547893733704 & -0.000478937337035333 & -0.000478937337035358 & 1.43379509933716 \tabularnewline
103 & 1.4016 & 1.40206497163934 & -0.000464971639336542 & -0.000464971639336559 & 1.14339040360970 \tabularnewline
104 & 1.4088 & 1.40926208573211 & -0.000462085732113682 & -0.000462085732113683 & 0.236362103863591 \tabularnewline
105 & 1.4268 & 1.42725513726362 & -0.000455137263621688 & -0.000455137263621696 & 0.569309051615043 \tabularnewline
106 & 1.4562 & 1.45664390508557 & -0.000443905085569105 & -0.000443905085569103 & 0.920632767706364 \tabularnewline
107 & 1.4816 & 1.48203418568047 & -0.000434185680468259 & -0.000434185680468246 & 0.796939814445722 \tabularnewline
108 & 1.4914 & 1.49183033824327 & -0.000430338243272688 & -0.000430338243272666 & 0.315588166222294 \tabularnewline
109 & 1.4614 & 1.45817752628093 & -0.000292952082180122 & 0.00322247371907478 & -1.04770908504202 \tabularnewline
110 & 1.4272 & 1.42762688198742 & -0.000426881272697738 & -0.000426881987422614 & -0.910106933769154 \tabularnewline
111 & 1.3686 & 1.36904659423600 & -0.000446594236002106 & -0.000446594236002148 & -1.79389832891346 \tabularnewline
112 & 1.3569 & 1.35735040636418 & -0.000450406364182928 & -0.000450406364182928 & -0.347023970123027 \tabularnewline
113 & 1.3406 & 1.34105577364792 & -0.000455773647923225 & -0.000455773647923226 & -0.488757744923583 \tabularnewline
114 & 1.2565 & 1.25698408922047 & -0.000484089220465286 & -0.000484089220465286 & -2.57935734701830 \tabularnewline
115 & 1.2208 & 1.22129600661479 & -0.000496006614790545 & -0.000496006614790565 & -1.08596166606329 \tabularnewline
116 & 1.277 & 1.27747682664536 & -0.00047682664535952 & -0.000476826645359518 & 1.74834874251846 \tabularnewline
117 & 1.2894 & 1.28987247195385 & -0.000472471953850926 & -0.000472471953850936 & 0.397085902614751 \tabularnewline
118 & 1.3067 & 1.30716646368251 & -0.00046646368250685 & -0.000466463682506847 & 0.548054164694782 \tabularnewline
119 & 1.3898 & 1.39023822223652 & -0.000438222236516553 & -0.000438222236516546 & 2.57696009795879 \tabularnewline
120 & 1.3661 & 1.36654608094287 & -0.000446080942870452 & -0.000446080942870432 & -0.717329343443493 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=115604&T=1

[TABLE]
[ROW][C]Structural Time Series Model[/C][/ROW]
[ROW][C]t[/C][C]Observed[/C][C]Level[/C][C]Slope[/C][C]Seasonal[/C][C]Stand. Residuals[/C][/ROW]
[ROW][C]1[/C][C]0.8973[/C][C]0.8973[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.9383[/C][C]0.936168000075857[/C][C]0.00213199998160767[/C][C]0.00213199992414349[/C][C]0.719789379959892[/C][/ROW]
[ROW][C]3[/C][C]0.9217[/C][C]0.919642629485343[/C][C]0.00205737051465687[/C][C]0.00205737051465687[/C][C]-0.576589013356853[/C][/ROW]
[ROW][C]4[/C][C]0.9095[/C][C]0.907499206351308[/C][C]0.00200079364869197[/C][C]0.00200079364869197[/C][C]-0.43885908541227[/C][/ROW]
[ROW][C]5[/C][C]0.892[/C][C]0.890076284585504[/C][C]0.00192371541449609[/C][C]0.00192371541449609[/C][C]-0.600262709021044[/C][/ROW]
[ROW][C]6[/C][C]0.8742[/C][C]0.87235393700682[/C][C]0.00184606299317954[/C][C]0.00184606299317955[/C][C]-0.60712930680806[/C][/ROW]
[ROW][C]7[/C][C]0.8532[/C][C]0.851443529408905[/C][C]0.00175647059109495[/C][C]0.00175647059109495[/C][C]-0.70324589433565[/C][/ROW]
[ROW][C]8[/C][C]0.8607[/C][C]0.858921093747603[/C][C]0.00177890625239694[/C][C]0.00177890625239694[/C][C]0.176798275288377[/C][/ROW]
[ROW][C]9[/C][C]0.9005[/C][C]0.898573151751551[/C][C]0.00192684824844891[/C][C]0.00192684824844891[/C][C]1.17038054590496[/C][/ROW]
[ROW][C]10[/C][C]0.9111[/C][C]0.909139534884968[/C][C]0.00196046511503164[/C][C]0.00196046511503164[/C][C]0.266982454359909[/C][/ROW]
[ROW][C]11[/C][C]0.9059[/C][C]0.903967181467874[/C][C]0.00193281853212590[/C][C]0.00193281853212590[/C][C]-0.22041963125948[/C][/ROW]
[ROW][C]12[/C][C]0.8883[/C][C]0.886442307691509[/C][C]0.00185769230849109[/C][C]0.00185769230849110[/C][C]-0.601280598491724[/C][/ROW]
[ROW][C]13[/C][C]0.8924[/C][C]0.90504278200202[/C][C]0.00114934384135221[/C][C]-0.0126427820020193[/C][C]0.625104324837924[/C][/ROW]
[ROW][C]14[/C][C]0.8833[/C][C]0.882718909243836[/C][C]0.000581090917622456[/C][C]0.00058109075616367[/C][C]-0.617150691080449[/C][/ROW]
[ROW][C]15[/C][C]0.87[/C][C]0.869444101612688[/C][C]0.000555898387311558[/C][C]0.000555898387311558[/C][C]-0.427738378143892[/C][/ROW]
[ROW][C]16[/C][C]0.8758[/C][C]0.875234601429086[/C][C]0.00056539857091401[/C][C]0.000565398570914008[/C][C]0.161594444562762[/C][/ROW]
[ROW][C]17[/C][C]0.8858[/C][C]0.885217540667866[/C][C]0.000582459332134159[/C][C]0.000582459332134158[/C][C]0.290723138479871[/C][/ROW]
[ROW][C]18[/C][C]0.917[/C][C]0.916362274351744[/C][C]0.000637725648255614[/C][C]0.000637725648255613[/C][C]0.943467737986584[/C][/ROW]
[ROW][C]19[/C][C]0.9554[/C][C]0.954694234221186[/C][C]0.000705765778814193[/C][C]0.000705765778814188[/C][C]1.16363185376618[/C][/ROW]
[ROW][C]20[/C][C]0.9922[/C][C]0.991429316536984[/C][C]0.000770683463016112[/C][C]0.000770683463016116[/C][C]1.11223356048264[/C][/ROW]
[ROW][C]21[/C][C]0.9778[/C][C]0.977056552951177[/C][C]0.000743447048822653[/C][C]0.000743447048822651[/C][C]-0.467481051705424[/C][/ROW]
[ROW][C]22[/C][C]0.9808[/C][C]0.980052508949674[/C][C]0.000747491050325773[/C][C]0.000747491050325774[/C][C]0.0695352618423683[/C][/ROW]
[ROW][C]23[/C][C]0.9811[/C][C]0.980353309470297[/C][C]0.00074669052970311[/C][C]0.00074669052970311[/C][C]-0.0137893760960925[/C][/ROW]
[ROW][C]24[/C][C]1.0014[/C][C]1.00061839284798[/C][C]0.000781607152023652[/C][C]0.000781607152023657[/C][C]0.602533546637026[/C][/ROW]
[ROW][C]25[/C][C]1.0183[/C][C]1.02236725398745[/C][C]0.000369750381056052[/C][C]-0.00406725398745186[/C][C]0.713132395721076[/C][/ROW]
[ROW][C]26[/C][C]1.0622[/C][C]1.06123235325218[/C][C]0.00096764709214039[/C][C]0.000967646747823025[/C][C]1.07923218202040[/C][/ROW]
[ROW][C]27[/C][C]1.0773[/C][C]1.07631574616116[/C][C]0.000984253838836316[/C][C]0.000984253838836316[/C][C]0.435620405996686[/C][/ROW]
[ROW][C]28[/C][C]1.0807[/C][C]1.07971291077858[/C][C]0.000987089221424175[/C][C]0.000987089221424176[/C][C]0.0744638262205396[/C][/ROW]
[ROW][C]29[/C][C]1.0848[/C][C]1.08380926141102[/C][C]0.00099073858898093[/C][C]0.000990738588980925[/C][C]0.0959535445590255[/C][/ROW]
[ROW][C]30[/C][C]1.1582[/C][C]1.15712447305558[/C][C]0.001075526944415[/C][C]0.00107552694441500[/C][C]2.23197211870050[/C][/ROW]
[ROW][C]31[/C][C]1.1663[/C][C]1.16521625729829[/C][C]0.00108374270170946[/C][C]0.00108374270170946[/C][C]0.216525323582058[/C][/ROW]
[ROW][C]32[/C][C]1.1372[/C][C]1.1361515186771[/C][C]0.0010484813229006[/C][C]0.00104848132290060[/C][C]-0.930397066629317[/C][/ROW]
[ROW][C]33[/C][C]1.1139[/C][C]1.11287992997156[/C][C]0.00102007002843637[/C][C]0.00102007002843637[/C][C]-0.750528895038914[/C][/ROW]
[ROW][C]34[/C][C]1.1222[/C][C]1.12117144520538[/C][C]0.00102855479461833[/C][C]0.00102855479461833[/C][C]0.224400094803468[/C][/ROW]
[ROW][C]35[/C][C]1.1692[/C][C]1.16811792781132[/C][C]0.00108207218868132[/C][C]0.00108207218868132[/C][C]1.41704710199551[/C][/ROW]
[ROW][C]36[/C][C]1.1702[/C][C]1.16911802324409[/C][C]0.00108197675591146[/C][C]0.00108197675591147[/C][C]-0.00252983641068476[/C][/ROW]
[ROW][C]37[/C][C]1.2286[/C][C]1.23183047910256[/C][C]0.000293679943058873[/C][C]-0.00323047910255836[/C][C]2.03015823521528[/C][/ROW]
[ROW][C]38[/C][C]1.2613[/C][C]1.26067982641986[/C][C]0.000620173951783961[/C][C]0.000620173580140559[/C][C]0.822743273075176[/C][/ROW]
[ROW][C]39[/C][C]1.2646[/C][C]1.26397749779210[/C][C]0.000622502207895658[/C][C]0.000622502207895656[/C][C]0.0826165150682867[/C][/ROW]
[ROW][C]40[/C][C]1.2262[/C][C]1.22561137148813[/C][C]0.000588628511868732[/C][C]0.000588628511868731[/C][C]-1.20302763429544[/C][/ROW]
[ROW][C]41[/C][C]1.1985[/C][C]1.19793590628894[/C][C]0.00056409371105703[/C][C]0.000564093711057025[/C][C]-0.872112569222154[/C][/ROW]
[ROW][C]42[/C][C]1.2007[/C][C]1.20013448869266[/C][C]0.000565511307335573[/C][C]0.000565511307335569[/C][C]0.0504335151012443[/C][/ROW]
[ROW][C]43[/C][C]1.2138[/C][C]1.21322363632272[/C][C]0.000576363677281762[/C][C]0.000576363677281757[/C][C]0.386427123844363[/C][/ROW]
[ROW][C]44[/C][C]1.2266[/C][C]1.22601306224404[/C][C]0.000586937755961629[/C][C]0.000586937755961631[/C][C]0.376843963350759[/C][/ROW]
[ROW][C]45[/C][C]1.2176[/C][C]1.21702134827402[/C][C]0.00057865172598466[/C][C]0.000578651725984655[/C][C]-0.295556974759445[/C][/ROW]
[ROW][C]46[/C][C]1.2218[/C][C]1.22121822103061[/C][C]0.000581778969395024[/C][C]0.000581778969395023[/C][C]0.111643067623664[/C][/ROW]
[ROW][C]47[/C][C]1.249[/C][C]1.24839525449216[/C][C]0.000604745507839922[/C][C]0.000604745507839924[/C][C]0.820617276699492[/C][/ROW]
[ROW][C]48[/C][C]1.2991[/C][C]1.29845258617408[/C][C]0.000647413825916506[/C][C]0.000647413825916513[/C][C]1.52589746785340[/C][/ROW]
[ROW][C]49[/C][C]1.3408[/C][C]1.34330999224743[/C][C]0.000228181150751563[/C][C]-0.00250999224743125[/C][C]1.43289733918776[/C][/ROW]
[ROW][C]50[/C][C]1.3119[/C][C]1.31195751751124[/C][C]-5.75172094124582e-05[/C][C]-5.75175112391054e-05[/C][C]-0.923787347527385[/C][/ROW]
[ROW][C]51[/C][C]1.3014[/C][C]1.30146471394875[/C][C]-6.47139487463972e-05[/C][C]-6.47139487463975e-05[/C][C]-0.321960909050973[/C][/ROW]
[ROW][C]52[/C][C]1.3201[/C][C]1.32015179059389[/C][C]-5.17905938875944e-05[/C][C]-5.17905938875955e-05[/C][C]0.578550687159317[/C][/ROW]
[ROW][C]53[/C][C]1.2938[/C][C]1.29386985542915[/C][C]-6.98554291530096e-05[/C][C]-6.98554291530128e-05[/C][C]-0.809280825252152[/C][/ROW]
[ROW][C]54[/C][C]1.2694[/C][C]1.26948658867612[/C][C]-8.65886761151433e-05[/C][C]-8.6588676115135e-05[/C][C]-0.75014351780507[/C][/ROW]
[ROW][C]55[/C][C]1.2165[/C][C]1.21662288654811[/C][C]-0.000122886548113697[/C][C]-0.000122886548113710[/C][C]-1.62833588646427[/C][/ROW]
[ROW][C]56[/C][C]1.2037[/C][C]1.20383159335556[/C][C]-0.000131593355556708[/C][C]-0.000131593355556709[/C][C]-0.390859123249421[/C][/ROW]
[ROW][C]57[/C][C]1.2292[/C][C]1.2293140013242[/C][C]-0.000114001324198682[/C][C]-0.000114001324198687[/C][C]0.790270159476723[/C][/ROW]
[ROW][C]58[/C][C]1.2256[/C][C]1.22571639226945[/C][C]-0.000116392269450691[/C][C]-0.000116392269450689[/C][C]-0.107479911221673[/C][/ROW]
[ROW][C]59[/C][C]1.2015[/C][C]1.20163283065485[/C][C]-0.000132830654854464[/C][C]-0.000132830654854457[/C][C]-0.739460015823206[/C][/ROW]
[ROW][C]60[/C][C]1.1786[/C][C]1.17874842460423[/C][C]-0.000148424604234408[/C][C]-0.000148424604234397[/C][C]-0.701955083145818[/C][/ROW]
[ROW][C]61[/C][C]1.1856[/C][C]1.18355654658199[/C][C]-0.000185768447181241[/C][C]0.00204345341800604[/C][C]0.159080800000323[/C][/ROW]
[ROW][C]62[/C][C]1.2103[/C][C]1.21028434338108[/C][C]1.56572096051783e-05[/C][C]1.56566189187376e-05[/C][C]0.794887083394606[/C][/ROW]
[ROW][C]63[/C][C]1.1938[/C][C]1.19379377490366[/C][C]6.22509633846648e-06[/C][C]6.22509633846237e-06[/C][C]-0.509238108595697[/C][/ROW]
[ROW][C]64[/C][C]1.202[/C][C]1.20198909809232[/C][C]1.09019076806727e-05[/C][C]1.09019076806693e-05[/C][C]0.252644075485236[/C][/ROW]
[ROW][C]65[/C][C]1.2271[/C][C]1.22707478600235[/C][C]2.52139976462872e-05[/C][C]2.52139976462837e-05[/C][C]0.77358886463599[/C][/ROW]
[ROW][C]66[/C][C]1.277[/C][C]1.27694635112362[/C][C]5.36488763778315e-05[/C][C]5.36488763778158e-05[/C][C]1.53782273133959[/C][/ROW]
[ROW][C]67[/C][C]1.265[/C][C]1.26495321929842[/C][C]4.67807015782706e-05[/C][C]4.67807015782585e-05[/C][C]-0.371658301438412[/C][/ROW]
[ROW][C]68[/C][C]1.2684[/C][C]1.26835130972057[/C][C]4.86902794334402e-05[/C][C]4.86902794334381e-05[/C][C]0.103392093456135[/C][/ROW]
[ROW][C]69[/C][C]1.2811[/C][C]1.28104410920405[/C][C]5.58907959477543e-05[/C][C]5.58907959477515e-05[/C][C]0.390086508713718[/C][/ROW]
[ROW][C]70[/C][C]1.2727[/C][C]1.27264891915247[/C][C]5.10808475273547e-05[/C][C]5.10808475273545e-05[/C][C]-0.260726322077641[/C][/ROW]
[ROW][C]71[/C][C]1.2611[/C][C]1.26105554284708[/C][C]4.44571529172106e-05[/C][C]4.44571529172181e-05[/C][C]-0.359245882233398[/C][/ROW]
[ROW][C]72[/C][C]1.2881[/C][C]1.28804022720040[/C][C]5.97727995974264e-05[/C][C]5.97727995974367e-05[/C][C]0.831139141747973[/C][/ROW]
[ROW][C]73[/C][C]1.3213[/C][C]1.31977953232277[/C][C]-0.000138224269761954[/C][C]0.00152046767723252[/C][C]1.01010353885725[/C][/ROW]
[ROW][C]74[/C][C]1.2999[/C][C]1.30016253715576[/C][C]-0.000262536511629337[/C][C]-0.000262537155756682[/C][C]-0.579149806124275[/C][/ROW]
[ROW][C]75[/C][C]1.3074[/C][C]1.30765875176239[/C][C]-0.00025875176239054[/C][C]-0.000258751762390547[/C][C]0.239357361856446[/C][/ROW]
[ROW][C]76[/C][C]1.3242[/C][C]1.32445043853225[/C][C]-0.000250438532250292[/C][C]-0.000250438532250294[/C][C]0.526005722246638[/C][/ROW]
[ROW][C]77[/C][C]1.3516[/C][C]1.35183697022595[/C][C]-0.000236970225948186[/C][C]-0.000236970225948189[/C][C]0.852599933467548[/C][/ROW]
[ROW][C]78[/C][C]1.3511[/C][C]1.35133709828326[/C][C]-0.000237098283260704[/C][C]-0.000237098283260719[/C][C]-0.00811051131064872[/C][/ROW]
[ROW][C]79[/C][C]1.3419[/C][C]1.34214145979171[/C][C]-0.000241459791714629[/C][C]-0.000241459791714642[/C][C]-0.276370706043170[/C][/ROW]
[ROW][C]80[/C][C]1.3716[/C][C]1.37182689682788[/C][C]-0.000226896827884425[/C][C]-0.000226896827884425[/C][C]0.923243791336669[/C][/ROW]
[ROW][C]81[/C][C]1.3622[/C][C]1.36243135628403[/C][C]-0.000231356284027731[/C][C]-0.000231356284027736[/C][C]-0.282852326226023[/C][/ROW]
[ROW][C]82[/C][C]1.3896[/C][C]1.38981792997178[/C][C]-0.000217929971779064[/C][C]-0.000217929971779063[/C][C]0.85201203765279[/C][/ROW]
[ROW][C]83[/C][C]1.4227[/C][C]1.42290174836754[/C][C]-0.000201748367538827[/C][C]-0.000201748367538817[/C][C]1.02735748709004[/C][/ROW]
[ROW][C]84[/C][C]1.4684[/C][C]1.46857946596999[/C][C]-0.000179465969991662[/C][C]-0.000179465969991654[/C][C]1.41537936052940[/C][/ROW]
[ROW][C]85[/C][C]1.457[/C][C]1.45576785886849[/C][C]-0.000112012792309105[/C][C]0.00123214113150733[/C][C]-0.400885417667154[/C][/ROW]
[ROW][C]86[/C][C]1.4718[/C][C]1.47182208552311[/C][C]-2.20850528384655e-05[/C][C]-2.20855231064326e-05[/C][C]0.483015563945238[/C][/ROW]
[ROW][C]87[/C][C]1.4748[/C][C]1.47482079960929[/C][C]-2.07996092865899e-05[/C][C]-2.07996092865991e-05[/C][C]0.0931887102666743[/C][/ROW]
[ROW][C]88[/C][C]1.5527[/C][C]1.55268767002548[/C][C]1.23299745226668e-05[/C][C]1.23299745226656e-05[/C][C]2.40275850807065[/C][/ROW]
[ROW][C]89[/C][C]1.575[/C][C]1.57497819800476[/C][C]2.18019952362484e-05[/C][C]2.1801995236246e-05[/C][C]0.687260575964102[/C][/ROW]
[ROW][C]90[/C][C]1.5557[/C][C]1.55568640607503[/C][C]1.35939249668178e-05[/C][C]1.35939249668084e-05[/C][C]-0.595805391588276[/C][/ROW]
[ROW][C]91[/C][C]1.5553[/C][C]1.55528658169874[/C][C]1.34183012611066e-05[/C][C]1.34183012610881e-05[/C][C]-0.0127535471442651[/C][/ROW]
[ROW][C]92[/C][C]1.577[/C][C]1.57697737686998[/C][C]2.26231300223300e-05[/C][C]2.26231300223298e-05[/C][C]0.668725651736666[/C][/ROW]
[ROW][C]93[/C][C]1.4975[/C][C]1.49751111577719[/C][C]-1.11157771902430e-05[/C][C]-1.11157771902597e-05[/C][C]-2.45215329503835[/C][/ROW]
[ROW][C]94[/C][C]1.4369[/C][C]1.43693681080259[/C][C]-3.68108025855725e-05[/C][C]-3.68108025855654e-05[/C][C]-1.86831419303888[/C][/ROW]
[ROW][C]95[/C][C]1.3322[/C][C]1.33228117840090[/C][C]-8.11784009049724e-05[/C][C]-8.11784009049554e-05[/C][C]-3.22738637555187[/C][/ROW]
[ROW][C]96[/C][C]1.2732[/C][C]1.27330614399737[/C][C]-0.000106143997373435[/C][C]-0.000106143997373419[/C][C]-1.81681659651114[/C][/ROW]
[ROW][C]97[/C][C]1.3449[/C][C]1.34029250321298[/C][C]-0.000418863275201434[/C][C]0.00460749678701518[/C][C]2.12168274049330[/C][/ROW]
[ROW][C]98[/C][C]1.3239[/C][C]1.32439517043736[/C][C]-0.000495169729131669[/C][C]-0.000495170437359888[/C][C]-0.464198006944616[/C][/ROW]
[ROW][C]99[/C][C]1.2785[/C][C]1.27901210851334[/C][C]-0.00051210851334077[/C][C]-0.000512108513340797[/C][C]-1.38471439959318[/C][/ROW]
[ROW][C]100[/C][C]1.305[/C][C]1.30550192295480[/C][C]-0.000501922954796684[/C][C]-0.000501922954796686[/C][C]0.832962897304774[/C][/ROW]
[ROW][C]101[/C][C]1.319[/C][C]1.3194964567207[/C][C]-0.000496456720698833[/C][C]-0.000496456720698833[/C][C]0.447190733508145[/C][/ROW]
[ROW][C]102[/C][C]1.365[/C][C]1.36547893733704[/C][C]-0.000478937337035333[/C][C]-0.000478937337035358[/C][C]1.43379509933716[/C][/ROW]
[ROW][C]103[/C][C]1.4016[/C][C]1.40206497163934[/C][C]-0.000464971639336542[/C][C]-0.000464971639336559[/C][C]1.14339040360970[/C][/ROW]
[ROW][C]104[/C][C]1.4088[/C][C]1.40926208573211[/C][C]-0.000462085732113682[/C][C]-0.000462085732113683[/C][C]0.236362103863591[/C][/ROW]
[ROW][C]105[/C][C]1.4268[/C][C]1.42725513726362[/C][C]-0.000455137263621688[/C][C]-0.000455137263621696[/C][C]0.569309051615043[/C][/ROW]
[ROW][C]106[/C][C]1.4562[/C][C]1.45664390508557[/C][C]-0.000443905085569105[/C][C]-0.000443905085569103[/C][C]0.920632767706364[/C][/ROW]
[ROW][C]107[/C][C]1.4816[/C][C]1.48203418568047[/C][C]-0.000434185680468259[/C][C]-0.000434185680468246[/C][C]0.796939814445722[/C][/ROW]
[ROW][C]108[/C][C]1.4914[/C][C]1.49183033824327[/C][C]-0.000430338243272688[/C][C]-0.000430338243272666[/C][C]0.315588166222294[/C][/ROW]
[ROW][C]109[/C][C]1.4614[/C][C]1.45817752628093[/C][C]-0.000292952082180122[/C][C]0.00322247371907478[/C][C]-1.04770908504202[/C][/ROW]
[ROW][C]110[/C][C]1.4272[/C][C]1.42762688198742[/C][C]-0.000426881272697738[/C][C]-0.000426881987422614[/C][C]-0.910106933769154[/C][/ROW]
[ROW][C]111[/C][C]1.3686[/C][C]1.36904659423600[/C][C]-0.000446594236002106[/C][C]-0.000446594236002148[/C][C]-1.79389832891346[/C][/ROW]
[ROW][C]112[/C][C]1.3569[/C][C]1.35735040636418[/C][C]-0.000450406364182928[/C][C]-0.000450406364182928[/C][C]-0.347023970123027[/C][/ROW]
[ROW][C]113[/C][C]1.3406[/C][C]1.34105577364792[/C][C]-0.000455773647923225[/C][C]-0.000455773647923226[/C][C]-0.488757744923583[/C][/ROW]
[ROW][C]114[/C][C]1.2565[/C][C]1.25698408922047[/C][C]-0.000484089220465286[/C][C]-0.000484089220465286[/C][C]-2.57935734701830[/C][/ROW]
[ROW][C]115[/C][C]1.2208[/C][C]1.22129600661479[/C][C]-0.000496006614790545[/C][C]-0.000496006614790565[/C][C]-1.08596166606329[/C][/ROW]
[ROW][C]116[/C][C]1.277[/C][C]1.27747682664536[/C][C]-0.00047682664535952[/C][C]-0.000476826645359518[/C][C]1.74834874251846[/C][/ROW]
[ROW][C]117[/C][C]1.2894[/C][C]1.28987247195385[/C][C]-0.000472471953850926[/C][C]-0.000472471953850936[/C][C]0.397085902614751[/C][/ROW]
[ROW][C]118[/C][C]1.3067[/C][C]1.30716646368251[/C][C]-0.00046646368250685[/C][C]-0.000466463682506847[/C][C]0.548054164694782[/C][/ROW]
[ROW][C]119[/C][C]1.3898[/C][C]1.39023822223652[/C][C]-0.000438222236516553[/C][C]-0.000438222236516546[/C][C]2.57696009795879[/C][/ROW]
[ROW][C]120[/C][C]1.3661[/C][C]1.36654608094287[/C][C]-0.000446080942870452[/C][C]-0.000446080942870432[/C][C]-0.717329343443493[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=115604&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=115604&T=1

As an alternative you can also use a QR Code:  

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

Structural Time Series Model
tObservedLevelSlopeSeasonalStand. Residuals
10.89730.8973000
20.93830.9361680000758570.002131999981607670.002131999924143490.719789379959892
30.92170.9196426294853430.002057370514656870.00205737051465687-0.576589013356853
40.90950.9074992063513080.002000793648691970.00200079364869197-0.43885908541227
50.8920.8900762845855040.001923715414496090.00192371541449609-0.600262709021044
60.87420.872353937006820.001846062993179540.00184606299317955-0.60712930680806
70.85320.8514435294089050.001756470591094950.00175647059109495-0.70324589433565
80.86070.8589210937476030.001778906252396940.001778906252396940.176798275288377
90.90050.8985731517515510.001926848248448910.001926848248448911.17038054590496
100.91110.9091395348849680.001960465115031640.001960465115031640.266982454359909
110.90590.9039671814678740.001932818532125900.00193281853212590-0.22041963125948
120.88830.8864423076915090.001857692308491090.00185769230849110-0.601280598491724
130.89240.905042782002020.00114934384135221-0.01264278200201930.625104324837924
140.88330.8827189092438360.0005810909176224560.00058109075616367-0.617150691080449
150.870.8694441016126880.0005558983873115580.000555898387311558-0.427738378143892
160.87580.8752346014290860.000565398570914010.0005653985709140080.161594444562762
170.88580.8852175406678660.0005824593321341590.0005824593321341580.290723138479871
180.9170.9163622743517440.0006377256482556140.0006377256482556130.943467737986584
190.95540.9546942342211860.0007057657788141930.0007057657788141881.16363185376618
200.99220.9914293165369840.0007706834630161120.0007706834630161161.11223356048264
210.97780.9770565529511770.0007434470488226530.000743447048822651-0.467481051705424
220.98080.9800525089496740.0007474910503257730.0007474910503257740.0695352618423683
230.98110.9803533094702970.000746690529703110.00074669052970311-0.0137893760960925
241.00141.000618392847980.0007816071520236520.0007816071520236570.602533546637026
251.01831.022367253987450.000369750381056052-0.004067253987451860.713132395721076
261.06221.061232353252180.000967647092140390.0009676467478230251.07923218202040
271.07731.076315746161160.0009842538388363160.0009842538388363160.435620405996686
281.08071.079712910778580.0009870892214241750.0009870892214241760.0744638262205396
291.08481.083809261411020.000990738588980930.0009907385889809250.0959535445590255
301.15821.157124473055580.0010755269444150.001075526944415002.23197211870050
311.16631.165216257298290.001083742701709460.001083742701709460.216525323582058
321.13721.13615151867710.00104848132290060.00104848132290060-0.930397066629317
331.11391.112879929971560.001020070028436370.00102007002843637-0.750528895038914
341.12221.121171445205380.001028554794618330.001028554794618330.224400094803468
351.16921.168117927811320.001082072188681320.001082072188681321.41704710199551
361.17021.169118023244090.001081976755911460.00108197675591147-0.00252983641068476
371.22861.231830479102560.000293679943058873-0.003230479102558362.03015823521528
381.26131.260679826419860.0006201739517839610.0006201735801405590.822743273075176
391.26461.263977497792100.0006225022078956580.0006225022078956560.0826165150682867
401.22621.225611371488130.0005886285118687320.000588628511868731-1.20302763429544
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Parameters (Session):
par1 = 12 ;
Parameters (R input):
par1 = 12 ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
nx <- length(x)
x <- ts(x,frequency=par1)
m <- StructTS(x,type='BSM')
m$coef
m$fitted
m$resid
mylevel <- as.numeric(m$fitted[,'level'])
myslope <- as.numeric(m$fitted[,'slope'])
myseas <- as.numeric(m$fitted[,'sea'])
myresid <- as.numeric(m$resid)
myfit <- mylevel+myseas
bitmap(file='test1.png')
plot(as.numeric(m$resid),main='Standardized Residuals',ylab='Residuals',xlab='time')
grid()
dev.off()
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='test5.png')
op <- par(mfrow = c(2,2))
hist(m$resid,main='Residual Histogram')
plot(density(m$resid),main='Residual Kernel Density')
qqnorm(m$resid,main='Residual Normal QQ Plot')
qqline(m$resid)
plot(m$resid^2, myfit^2,main='Sq.Resid vs. Sq.Fit',xlab='Squared residuals',ylab='Squared Fit')
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Structural Time Series Model',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'t',header=TRUE)
a<-table.element(a,'Observed',header=TRUE)
a<-table.element(a,'Level',header=TRUE)
a<-table.element(a,'Slope',header=TRUE)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,'Stand. Residuals',header=TRUE)
a<-table.row.end(a)
for (i in 1:nx) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
a<-table.element(a,mylevel[i])
a<-table.element(a,myslope[i])
a<-table.element(a,myseas[i])
a<-table.element(a,myresid[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')