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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_decomposeloess.wasp
Title produced by softwareDecomposition by Loess
Date of computationFri, 25 Nov 2011 09:47:30 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/25/t13222324882ree3ncruw1nxci.htm/, Retrieved Thu, 28 Mar 2024 11:22:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=147326, Retrieved Thu, 28 Mar 2024 11:22:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact120
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Classical Decomposition] [Nyrstar ] [2011-11-25 09:39:56] [25b6caf3839c2bdc14961e5bff2d6373]
- RMPD    [Decomposition by Loess] [loess] [2011-11-25 14:47:30] [2adf2d2c11e011c12275478b9efd18e5] [Current]
- RMPD      [Structural Time Series Models] [Structural time s...] [2011-11-25 14:53:43] [25b6caf3839c2bdc14961e5bff2d6373]
- RMPD      [Exponential Smoothing] [exp. smoothing] [2011-11-25 14:57:22] [25b6caf3839c2bdc14961e5bff2d6373]
- RMPD      [Exponential Smoothing] [exp. smoothing] [2011-11-25 14:57:22] [25b6caf3839c2bdc14961e5bff2d6373]
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Dataseries X:
11.73
11.75
11.39
11.54
9.62
9.82
9.94
9.9
9.8
9.86
10.5
10.33
10.16
9.91
9.96
10.03
9.55
9.51
9.8
10.08
10.2
10.23
10.2
10.07
10.01
10.05
9.92
10.03
10.18
10.1
10.16
10.15
10.13
10.09
10.18
10.06
9.65
9.74
9.53
9.5
9
9.15
9.32
9.62
9.59
9.37
9.35
9.32
9.49
9.52
9.59
9.35
9.2
9.57
9.78
9.79
9.57
9.53
9.65
9.36
9.4
9.32
9.31
9.19
9.39
9.28
9.28
9.31
9.28
9.31
9.35
9.19
9.07
8.96
8.69
8.58
8.56
8.47
8.46
8.75
8.95
9.33
9.51
9.561
9.94
9.9
9.275
9.56
9.779
9.746
9.991
9.98
10.195
10.31
10.25
9.871
10.06
9.894
9.59
9.64
9.89
9.53
9.388
9.16
9.418
9.57
9.857
9.877
9.76
9.76
9.695
9.475
9.262
9.097
8.55
8.16
7.532
7.325
6.749
7.13
6.995
7.346
7.73
7.837
7.514
7.58
6.83
6.617
6.715
6.63
6.891
7.002
7.09
7.36
7.477
7.826
7.79
7.578
7.204
7.198
7.685
7.795
7.46
7.274
7.33
7.655
7.767
7.84
7.424
7.54
7.351
6.735
6.777
6.679
7.34
6.978
6.92
6.628
6.385
5.984
6.268
6.596
6.395
6.715
6.804
6.929
6.846
6.992
6.774
6.75
6.485
6.27
6.47
6.78
6.71
6.141
6.72
6.68
6.371
6.097
6.27
6.447
6.37
6.446
6.54
6.374
6.33
6.63
6.498
6.485
6.36




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time13 seconds
R Server'AstonUniversity' @ aston.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 13 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147326&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]13 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147326&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147326&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 time13 seconds
R Server'AstonUniversity' @ aston.wessa.net







Seasonal Decomposition by Loess - Parameters
ComponentWindowDegreeJump
Seasonal19110192
Trend911
Low-pass511

\begin{tabular}{lllllllll}
\hline
Seasonal Decomposition by Loess - Parameters \tabularnewline
Component & Window & Degree & Jump \tabularnewline
Seasonal & 1911 & 0 & 192 \tabularnewline
Trend & 9 & 1 & 1 \tabularnewline
Low-pass & 5 & 1 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147326&T=1

[TABLE]
[ROW][C]Seasonal Decomposition by Loess - Parameters[/C][/ROW]
[ROW][C]Component[/C][C]Window[/C][C]Degree[/C][C]Jump[/C][/ROW]
[ROW][C]Seasonal[/C][C]1911[/C][C]0[/C][C]192[/C][/ROW]
[ROW][C]Trend[/C][C]9[/C][C]1[/C][C]1[/C][/ROW]
[ROW][C]Low-pass[/C][C]5[/C][C]1[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147326&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147326&T=1

As an alternative you can also use a QR Code:  

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

Seasonal Decomposition by Loess - Parameters
ComponentWindowDegreeJump
Seasonal19110192
Trend911
Low-pass511







Seasonal Decomposition by Loess - Time Series Components
tObservedFittedSeasonalTrendRemainder
111.7311.52131149117310.043517417880445611.8951710909465-0.208688508826915
211.7511.8966151198939-0.0080279481033843711.61141282820950.146615119893927
311.3911.4774658605693-0.014274897988088511.31680903741870.087465860569349
411.5412.0919991367276-0.029967442273084911.01796830554550.551999136727579
59.628.519778951645610.0087528545884491210.7114681937659-1.10022104835439
69.829.2227155894880.043517417880445610.3737669926316-0.597284410511996
79.949.9379313972814-0.008027948103384379.950096550822-0.00206860271860521
89.99.90828766131654-0.01427489798808859.905987236671550.00828766131653502
99.89.69812384404147-0.02996744227308499.93184359823161-0.101876155958529
109.869.699242181162510.0087528545884491210.012004964249-0.160757818837485
1110.510.89853044139140.043517417880445610.05795214072810.398530441391429
1210.3310.575389756922-0.0080279481033843710.09263819118140.245389756921959
1310.1610.214778268846-0.014274897988088510.11949662914210.0547782688460252
149.919.7937580216273-0.029967442273084910.0562094206458-0.116241978372706
159.969.973729938706620.008752854588449129.937517206704940.0137299387066143
1610.0310.17555937428430.04351741788044569.840923207835290.145559374284264
179.559.29082266618663-0.008027948103384379.81720528191675-0.259177333813369
189.519.20296984724197-0.01427489798808859.83130505074612-0.307030152758033
199.89.75847374130048-0.02996744227308499.8714937009726-0.0415262586995251
2010.0810.17050718067030.008752854588449129.980739964741220.090507180670329
2110.210.26284822520640.043517417880445610.09363435691320.0628482252063822
2210.2310.3237354210183-0.0080279481033843710.14429252708510.0937354210182502
2310.210.2728895664294-0.014274897988088510.14138533155870.0728895664293905
2410.0710.0653358653334-0.029967442273084910.1046315769397-0.0046641346665961
2510.019.956635535353020.0087528545884491210.0546116100585-0.0533644646469824
2610.0510.03088659545020.043517417880445610.0255959866693-0.0191134045497794
279.929.81480484670557-0.0080279481033843710.0332231013978-0.105195153294433
2810.0310.0183557423783-0.014274897988088510.0559191556098-0.0116442576216702
2910.1810.3052277499402-0.029967442273084910.08473969233280.125227749940237
3010.110.07392748983750.0087528545884491210.117319655574-0.0260725101624715
3110.1610.14312720764160.043517417880445610.133355374478-0.0168727923584022
3210.1510.1743037078809-0.0080279481033843710.13372424022240.0243037078809465
3310.1310.1403279667662-0.014274897988088510.13394693122190.0103279667661589
3410.0910.1031883291356-0.029967442273084910.10677911313740.0131883291356356
3510.1810.31720784786550.0087528545884491210.03403929754610.137207847865467
3610.0610.13601513509840.04351741788044569.940467447021130.0760151350984213
379.659.47949924945813-0.008027948103384379.82852869864525-0.170500750541866
389.749.7976762342324-0.01427489798808859.69659866375570.057676234232396
399.539.52455892317192-0.02996744227308499.56540851910117-0.00544107682808281
409.59.53249915488070.008752854588449129.458747990530850.0324991548807034
4198.55725618659840.04351741788044569.39922639552115-0.442743813401599
429.158.92553359212247-0.008027948103384379.38249435598092-0.22446640787753
439.329.27339985347659-0.01427489798808859.3808750445115-0.0466001465234136
449.629.8573603092895-0.02996744227308499.412607132983580.237360309289501
459.599.736129096070430.008752854588449129.435118049341120.146129096070434
469.379.262071170971630.04351741788044569.43441141114792-0.107928829028367
479.359.29097078088526-0.008027948103384379.41705716721813-0.059029219114743
489.329.23412610037684-0.01427489798808859.42014879761125-0.0858738996231612
499.499.56372219513465-0.02996744227308499.446245247138440.073722195134648
509.529.571209848604020.008752854588449129.460037296807530.0512098486040209
519.599.68008004804390.04351741788044569.456402534075650.090080048043907
529.359.23282865400946-0.008027948103384379.47519929409392-0.117171345990537
539.28.89766234841946-0.01427489798808859.51661254956863-0.302337651580542
549.579.60802292466568-0.02996744227308499.56194451760740.0380229246656771
559.789.939407578178940.008752854588449129.61183956723260.159407578178941
569.799.890412803198460.04351741788044569.64606977892110.100412803198459
579.579.51300789406747-0.008027948103384379.63502005403592-0.0569921059325349
589.539.49793509157488-0.01427489798808859.5763398064132-0.0320649084251219
599.659.8249322490935-0.02996744227308499.50503519317960.174932249093494
609.369.26343773999020.008752854588449129.44780940542134-0.0965622600097902
619.49.366026525912070.04351741788044569.39045605620748-0.0339734740879294
629.329.31174708997458-0.008027948103384379.3362808581288-0.0082529100254174
639.319.32030845789514-0.01427489798808859.313966440092950.0103084578951407
649.199.1088840570899-0.02996744227308499.30108338518318-0.081115942910099
659.399.47942234384020.008752854588449129.291824801571340.0894223438402069
669.289.222882558814460.04351741788044569.29360002330509-0.0571174411855377
679.289.26909099810993-0.008027948103384379.29893694999345-0.0109090018900702
689.319.33485710836248-0.01427489798808859.299417789625610.0248571083624753
699.289.29023308977705-0.02996744227308499.299734352496030.0102330897770528
709.319.328556149610080.008752854588449129.282690995801470.0185561496100828
719.359.4177089594740.04351741788044569.238773622645560.067708959473995
729.199.22307993563212-0.008027948103384379.164948012471260.0330799356321236
739.079.10557659692115-0.01427489798808859.048698301066930.0355765969211532
748.969.04331310100088-0.02996744227308498.90665434127220.0833131010008774
758.698.59941064597920.008752854588449128.77183649943236-0.0905893540208087
768.588.464110930720480.04351741788044568.65237165139907-0.115889069279518
778.568.55281068684725-0.008027948103384378.57521726125614-0.00718931315275384
788.478.37752726625978-0.01427489798808858.5767476317283-0.0924727337402178
798.468.2962179352997-0.02996744227308498.65374950697338-0.163782064700293
808.758.690293540221470.008752854588449128.80095360519008-0.0597064597785284
818.958.855380363419120.04351741788044569.00110221870044-0.094619636580882
829.339.44177022341295-0.008027948103384379.226257724690440.111770223412949
839.519.58648021977288-0.01427489798808859.447794678215210.0764802197728756
849.5619.51799835873457-0.02996744227308499.63396908353851-0.0430016412654251
859.9410.14552255564490.008752854588449129.725724589766630.205522555644919
869.910.0176753736640.04351741788044569.738807208455580.117675373663976
879.2758.8003628066151-0.008027948103384379.75766514148828-0.474637193384899
889.569.3828205046607-0.01427489798808859.75145439332739-0.177179495339299
899.7799.84053139301862-0.02996744227308499.747436049254460.0615313930186225
909.7469.664148734416840.008752854588449129.8190984109947-0.0818512655831594
919.99110.00765720711370.04351741788044569.930825375005840.0166572071137132
929.989.92649553616994-0.0080279481033843710.0415324119334-0.0535044638300644
9310.19510.2813164581017-0.014274897988088510.12295843988640.086316458101658
9410.3110.505110939157-0.029967442273084910.14485650311610.195110939157031
9510.2510.36085301910070.0087528545884491210.13039412631090.110853019100666
969.8719.629506130233640.043517417880445610.0689764518859-0.241493869766364
9710.0610.1729407519689-0.008027948103384379.955087196134480.112940751968905
989.8949.95240107389168-0.01427489798808859.84987382409640.0584010738916803
999.599.42971835645403-0.02996744227308499.78024908581906-0.160281643545972
1009.649.573488554081450.008752854588449129.6977585913301-0.0665114459185538
1019.8910.13063171314790.04351741788044569.605850868971660.240631713147899
1029.539.53911267754314-0.008027948103384379.528915270560240.00911267754313982
1039.3889.31904239155415-0.01427489798808859.47123250643393-0.0689576084458459
1049.168.90473809361271-0.02996744227308499.44522934866037-0.255261906387286
1059.4189.338273731195460.008752854588449129.4889734142161-0.0797262688045421
1069.579.514675488805830.04351741788044569.58180709331372-0.0553245111941703
1079.85710.0376432608839-0.008027948103384379.684384687219480.180643260883899
1089.87710.0148334699379-0.01427489798808859.753441428050220.137833469937865
1099.769.78215593359524-0.02996744227308499.767811508677850.0221559335952364
1109.769.80491375805170.008752854588449129.706333387359860.0449137580516883
1119.6959.753607277016570.04351741788044569.592875305102990.0586072770165664
1129.4759.5253076931426-0.008027948103384379.43272025496080.0503076931425905
1139.2629.34551698920411-0.01427489798808859.192757908783980.0835169892041083
1149.0979.34105994676313-0.02996744227308498.882907495509960.244059946763128
1158.558.574922634486820.008752854588449128.516324510924730.0249226344868241
1168.168.166435783029330.04351741788044568.110046799090230.00643578302932823
1177.5327.33324323562057-0.008027948103384377.73878471248282-0.198756764379433
1187.3257.18677824365344-0.01427489798808857.47749665433465-0.138221756346561
1196.7496.22669822933846-0.02996744227308497.30126921293463-0.52230177066154
1207.137.014949190309530.008752854588449127.23629795510202-0.115050809690473
1216.9956.68991864446790.04351741788044567.25656393765165-0.305081355532098
1227.3467.32977674345763-0.008027948103384377.37025120464576-0.0162232565423714
1237.738.00619101655414-0.01427489798808857.468083881433950.276191016554138
1247.8378.19099468619747-0.02996744227308497.512972756075610.35399468619747
1257.5147.576495616295240.008752854588449127.442751529116310.062495616295239
1267.587.846284703364550.04351741788044567.2701978787550.266284703364555
1276.836.60964024642938-0.008027948103384377.05838770167401-0.220359753570623
1286.6176.36823326394578-0.01427489798808856.88004163404231-0.248766736054222
1296.7156.68973573795773-0.02996744227308496.77023170431535-0.0252642620422661
1306.636.468996771949260.008752854588449126.78225037346229-0.161003228050737
1316.8916.865790846236210.04351741788044566.87269173588335-0.0252091537637904
1327.0027.00753849530858-0.008027948103384377.00448945279480.00553849530857864
1337.097.02761841746372-0.01427489798808857.16665648052437-0.0623815825362826
1347.367.40852538902657-0.02996744227308497.341442053246520.0485253890265653
1357.4777.454671571206180.008752854588449127.49057557420537-0.0223284287938172
1367.8268.028996004396470.04351741788044567.579486577723080.202996004396472
1377.797.99582420582212-0.008027948103384377.592203742281270.205824205822116
1387.5787.61386484601585-0.01427489798808857.556410051972240.0358648460158522
1397.2046.90102390748252-0.02996744227308497.53694353479056-0.30297609251748
1407.1986.862784243547150.008752854588449127.5244629018644-0.335215756452852
1417.6857.821864547558930.04351741788044567.504618034560620.136864547558932
1427.7958.08871348363005-0.008027948103384377.509314464473330.29371348363005
1437.467.43688385135506-0.01427489798808857.49739104663303-0.0231161486449425
1447.2747.09505966557971-0.02996744227308497.48290777669338-0.178940334420295
1457.337.145969545340660.008752854588449127.50527760007089-0.184030454659339
1467.6557.702823606093250.04351741788044567.563658976026310.047823606093246
1477.7677.93733831648674-0.008027948103384377.604689631616640.170338316486744
1487.848.0824555929824-0.01427489798808857.61181930500570.242455592982393
1497.4247.32982406499909-0.02996744227308497.548143377274-0.0941759350009148
1507.547.68001650194450.008752854588449127.391230643467050.140016501944499
1517.3517.459587995339880.04351741788044567.198894586779670.108587995339883
1526.7356.46222199709107-0.008027948103384377.01580595101231-0.272778002908929
1536.7776.69600363790222-0.01427489798808856.87227126008587-0.0809963620977792
1546.6796.55762196208903-0.02996744227308496.83034548018405-0.121378037910969
1557.347.847029711742140.008752854588449126.82421743366940.507029711742143
1566.9787.103618018361880.04351741788044566.808864563757680.125618018361878
1576.927.07122490666834-0.008027948103384376.776803041435050.151224906668337
1586.6286.62434597137518-0.01427489798808856.6459289266129-0.00365402862481634
1596.3856.26825514612111-0.02996744227308496.53171229615198-0.116744853878893
1605.9845.485994555701870.008752854588449126.47325258970968-0.498005444298133
1616.2686.047597724637630.04351741788044566.44488485748193-0.220402275362374
1626.5966.73496614983722-0.008027948103384376.465061798266170.138966149837218
1636.3956.24082753084374-0.01427489798808856.56344736714435-0.154172469156257
1646.7156.78715135993425-0.02996744227308496.672816082338840.0721513599342476
1656.8046.839607624933250.008752854588449126.75963952047830.0356076249332533
1666.9296.980302817502740.04351741788044566.834179764616810.0513028175027443
1676.8466.83746422687743-0.008027948103384376.86256372122595-0.00853577312256526
1686.9927.15739708594054-0.01427489798808856.840877812047550.165397085940538
1696.7746.80812946422114-0.02996744227308496.769837978051950.0341294642211372
1706.756.82618103984020.008752854588449126.665066105571350.0761810398401979
1716.4856.341213370109770.04351741788044566.58526921200979-0.143786629890235
1726.275.98727880127293-0.008027948103384376.56074914683045-0.282721198727065
1736.476.38329084917137-0.01427489798808856.57098404881672-0.0867091508286268
1746.786.96118460398524-0.02996744227308496.628782838287840.18118460398524
1756.716.728575991547980.008752854588449126.682671153863570.0185759915479826
1766.1415.542062823765520.04351741788044566.69641975835403-0.598937176234477
1776.726.79762879920318-0.008027948103384376.65039914890020.0776287992031852
1786.686.80742444558356-0.01427489798808856.566850452404530.127424445583559
1796.3716.30959644189697-0.02996744227308496.46237100037612-0.0614035581030352
1806.0975.793625845673160.008752854588449126.39162129973839-0.303374154326836
1816.276.147870185565530.04351741788044566.34861239655402-0.12212981443447
1826.4476.54712878618136-0.008027948103384376.354899161922020.100128786181363
1836.376.34877111295634-0.01427489798808856.40550378503174-0.0212288870436561
1846.4466.49294771087504-0.02996744227308496.429019731398050.0469477108750382
1856.546.6413564360770.008752854588449126.429890709334550.101356436076999
1866.3746.256560255326640.04351741788044566.44792232679292-0.117439744673362
1876.336.20509589747421-0.008027948103384376.46293205062917-0.124904102525789
1886.636.81621779612424-0.01427489798808856.458057101863850.186217796124238
1896.4986.57639475478321-0.02996744227308496.449572687489870.0783947547832113
1906.4856.519254655321130.008752854588449126.441992490090420.0342546553211323
1916.366.245610951444260.04351741788044566.4308716306753-0.114389048555741

\begin{tabular}{lllllllll}
\hline
Seasonal Decomposition by Loess - Time Series Components \tabularnewline
t & Observed & Fitted & Seasonal & Trend & Remainder \tabularnewline
1 & 11.73 & 11.5213114911731 & 0.0435174178804456 & 11.8951710909465 & -0.208688508826915 \tabularnewline
2 & 11.75 & 11.8966151198939 & -0.00802794810338437 & 11.6114128282095 & 0.146615119893927 \tabularnewline
3 & 11.39 & 11.4774658605693 & -0.0142748979880885 & 11.3168090374187 & 0.087465860569349 \tabularnewline
4 & 11.54 & 12.0919991367276 & -0.0299674422730849 & 11.0179683055455 & 0.551999136727579 \tabularnewline
5 & 9.62 & 8.51977895164561 & 0.00875285458844912 & 10.7114681937659 & -1.10022104835439 \tabularnewline
6 & 9.82 & 9.222715589488 & 0.0435174178804456 & 10.3737669926316 & -0.597284410511996 \tabularnewline
7 & 9.94 & 9.9379313972814 & -0.00802794810338437 & 9.950096550822 & -0.00206860271860521 \tabularnewline
8 & 9.9 & 9.90828766131654 & -0.0142748979880885 & 9.90598723667155 & 0.00828766131653502 \tabularnewline
9 & 9.8 & 9.69812384404147 & -0.0299674422730849 & 9.93184359823161 & -0.101876155958529 \tabularnewline
10 & 9.86 & 9.69924218116251 & 0.00875285458844912 & 10.012004964249 & -0.160757818837485 \tabularnewline
11 & 10.5 & 10.8985304413914 & 0.0435174178804456 & 10.0579521407281 & 0.398530441391429 \tabularnewline
12 & 10.33 & 10.575389756922 & -0.00802794810338437 & 10.0926381911814 & 0.245389756921959 \tabularnewline
13 & 10.16 & 10.214778268846 & -0.0142748979880885 & 10.1194966291421 & 0.0547782688460252 \tabularnewline
14 & 9.91 & 9.7937580216273 & -0.0299674422730849 & 10.0562094206458 & -0.116241978372706 \tabularnewline
15 & 9.96 & 9.97372993870662 & 0.00875285458844912 & 9.93751720670494 & 0.0137299387066143 \tabularnewline
16 & 10.03 & 10.1755593742843 & 0.0435174178804456 & 9.84092320783529 & 0.145559374284264 \tabularnewline
17 & 9.55 & 9.29082266618663 & -0.00802794810338437 & 9.81720528191675 & -0.259177333813369 \tabularnewline
18 & 9.51 & 9.20296984724197 & -0.0142748979880885 & 9.83130505074612 & -0.307030152758033 \tabularnewline
19 & 9.8 & 9.75847374130048 & -0.0299674422730849 & 9.8714937009726 & -0.0415262586995251 \tabularnewline
20 & 10.08 & 10.1705071806703 & 0.00875285458844912 & 9.98073996474122 & 0.090507180670329 \tabularnewline
21 & 10.2 & 10.2628482252064 & 0.0435174178804456 & 10.0936343569132 & 0.0628482252063822 \tabularnewline
22 & 10.23 & 10.3237354210183 & -0.00802794810338437 & 10.1442925270851 & 0.0937354210182502 \tabularnewline
23 & 10.2 & 10.2728895664294 & -0.0142748979880885 & 10.1413853315587 & 0.0728895664293905 \tabularnewline
24 & 10.07 & 10.0653358653334 & -0.0299674422730849 & 10.1046315769397 & -0.0046641346665961 \tabularnewline
25 & 10.01 & 9.95663553535302 & 0.00875285458844912 & 10.0546116100585 & -0.0533644646469824 \tabularnewline
26 & 10.05 & 10.0308865954502 & 0.0435174178804456 & 10.0255959866693 & -0.0191134045497794 \tabularnewline
27 & 9.92 & 9.81480484670557 & -0.00802794810338437 & 10.0332231013978 & -0.105195153294433 \tabularnewline
28 & 10.03 & 10.0183557423783 & -0.0142748979880885 & 10.0559191556098 & -0.0116442576216702 \tabularnewline
29 & 10.18 & 10.3052277499402 & -0.0299674422730849 & 10.0847396923328 & 0.125227749940237 \tabularnewline
30 & 10.1 & 10.0739274898375 & 0.00875285458844912 & 10.117319655574 & -0.0260725101624715 \tabularnewline
31 & 10.16 & 10.1431272076416 & 0.0435174178804456 & 10.133355374478 & -0.0168727923584022 \tabularnewline
32 & 10.15 & 10.1743037078809 & -0.00802794810338437 & 10.1337242402224 & 0.0243037078809465 \tabularnewline
33 & 10.13 & 10.1403279667662 & -0.0142748979880885 & 10.1339469312219 & 0.0103279667661589 \tabularnewline
34 & 10.09 & 10.1031883291356 & -0.0299674422730849 & 10.1067791131374 & 0.0131883291356356 \tabularnewline
35 & 10.18 & 10.3172078478655 & 0.00875285458844912 & 10.0340392975461 & 0.137207847865467 \tabularnewline
36 & 10.06 & 10.1360151350984 & 0.0435174178804456 & 9.94046744702113 & 0.0760151350984213 \tabularnewline
37 & 9.65 & 9.47949924945813 & -0.00802794810338437 & 9.82852869864525 & -0.170500750541866 \tabularnewline
38 & 9.74 & 9.7976762342324 & -0.0142748979880885 & 9.6965986637557 & 0.057676234232396 \tabularnewline
39 & 9.53 & 9.52455892317192 & -0.0299674422730849 & 9.56540851910117 & -0.00544107682808281 \tabularnewline
40 & 9.5 & 9.5324991548807 & 0.00875285458844912 & 9.45874799053085 & 0.0324991548807034 \tabularnewline
41 & 9 & 8.5572561865984 & 0.0435174178804456 & 9.39922639552115 & -0.442743813401599 \tabularnewline
42 & 9.15 & 8.92553359212247 & -0.00802794810338437 & 9.38249435598092 & -0.22446640787753 \tabularnewline
43 & 9.32 & 9.27339985347659 & -0.0142748979880885 & 9.3808750445115 & -0.0466001465234136 \tabularnewline
44 & 9.62 & 9.8573603092895 & -0.0299674422730849 & 9.41260713298358 & 0.237360309289501 \tabularnewline
45 & 9.59 & 9.73612909607043 & 0.00875285458844912 & 9.43511804934112 & 0.146129096070434 \tabularnewline
46 & 9.37 & 9.26207117097163 & 0.0435174178804456 & 9.43441141114792 & -0.107928829028367 \tabularnewline
47 & 9.35 & 9.29097078088526 & -0.00802794810338437 & 9.41705716721813 & -0.059029219114743 \tabularnewline
48 & 9.32 & 9.23412610037684 & -0.0142748979880885 & 9.42014879761125 & -0.0858738996231612 \tabularnewline
49 & 9.49 & 9.56372219513465 & -0.0299674422730849 & 9.44624524713844 & 0.073722195134648 \tabularnewline
50 & 9.52 & 9.57120984860402 & 0.00875285458844912 & 9.46003729680753 & 0.0512098486040209 \tabularnewline
51 & 9.59 & 9.6800800480439 & 0.0435174178804456 & 9.45640253407565 & 0.090080048043907 \tabularnewline
52 & 9.35 & 9.23282865400946 & -0.00802794810338437 & 9.47519929409392 & -0.117171345990537 \tabularnewline
53 & 9.2 & 8.89766234841946 & -0.0142748979880885 & 9.51661254956863 & -0.302337651580542 \tabularnewline
54 & 9.57 & 9.60802292466568 & -0.0299674422730849 & 9.5619445176074 & 0.0380229246656771 \tabularnewline
55 & 9.78 & 9.93940757817894 & 0.00875285458844912 & 9.6118395672326 & 0.159407578178941 \tabularnewline
56 & 9.79 & 9.89041280319846 & 0.0435174178804456 & 9.6460697789211 & 0.100412803198459 \tabularnewline
57 & 9.57 & 9.51300789406747 & -0.00802794810338437 & 9.63502005403592 & -0.0569921059325349 \tabularnewline
58 & 9.53 & 9.49793509157488 & -0.0142748979880885 & 9.5763398064132 & -0.0320649084251219 \tabularnewline
59 & 9.65 & 9.8249322490935 & -0.0299674422730849 & 9.5050351931796 & 0.174932249093494 \tabularnewline
60 & 9.36 & 9.2634377399902 & 0.00875285458844912 & 9.44780940542134 & -0.0965622600097902 \tabularnewline
61 & 9.4 & 9.36602652591207 & 0.0435174178804456 & 9.39045605620748 & -0.0339734740879294 \tabularnewline
62 & 9.32 & 9.31174708997458 & -0.00802794810338437 & 9.3362808581288 & -0.0082529100254174 \tabularnewline
63 & 9.31 & 9.32030845789514 & -0.0142748979880885 & 9.31396644009295 & 0.0103084578951407 \tabularnewline
64 & 9.19 & 9.1088840570899 & -0.0299674422730849 & 9.30108338518318 & -0.081115942910099 \tabularnewline
65 & 9.39 & 9.4794223438402 & 0.00875285458844912 & 9.29182480157134 & 0.0894223438402069 \tabularnewline
66 & 9.28 & 9.22288255881446 & 0.0435174178804456 & 9.29360002330509 & -0.0571174411855377 \tabularnewline
67 & 9.28 & 9.26909099810993 & -0.00802794810338437 & 9.29893694999345 & -0.0109090018900702 \tabularnewline
68 & 9.31 & 9.33485710836248 & -0.0142748979880885 & 9.29941778962561 & 0.0248571083624753 \tabularnewline
69 & 9.28 & 9.29023308977705 & -0.0299674422730849 & 9.29973435249603 & 0.0102330897770528 \tabularnewline
70 & 9.31 & 9.32855614961008 & 0.00875285458844912 & 9.28269099580147 & 0.0185561496100828 \tabularnewline
71 & 9.35 & 9.417708959474 & 0.0435174178804456 & 9.23877362264556 & 0.067708959473995 \tabularnewline
72 & 9.19 & 9.22307993563212 & -0.00802794810338437 & 9.16494801247126 & 0.0330799356321236 \tabularnewline
73 & 9.07 & 9.10557659692115 & -0.0142748979880885 & 9.04869830106693 & 0.0355765969211532 \tabularnewline
74 & 8.96 & 9.04331310100088 & -0.0299674422730849 & 8.9066543412722 & 0.0833131010008774 \tabularnewline
75 & 8.69 & 8.5994106459792 & 0.00875285458844912 & 8.77183649943236 & -0.0905893540208087 \tabularnewline
76 & 8.58 & 8.46411093072048 & 0.0435174178804456 & 8.65237165139907 & -0.115889069279518 \tabularnewline
77 & 8.56 & 8.55281068684725 & -0.00802794810338437 & 8.57521726125614 & -0.00718931315275384 \tabularnewline
78 & 8.47 & 8.37752726625978 & -0.0142748979880885 & 8.5767476317283 & -0.0924727337402178 \tabularnewline
79 & 8.46 & 8.2962179352997 & -0.0299674422730849 & 8.65374950697338 & -0.163782064700293 \tabularnewline
80 & 8.75 & 8.69029354022147 & 0.00875285458844912 & 8.80095360519008 & -0.0597064597785284 \tabularnewline
81 & 8.95 & 8.85538036341912 & 0.0435174178804456 & 9.00110221870044 & -0.094619636580882 \tabularnewline
82 & 9.33 & 9.44177022341295 & -0.00802794810338437 & 9.22625772469044 & 0.111770223412949 \tabularnewline
83 & 9.51 & 9.58648021977288 & -0.0142748979880885 & 9.44779467821521 & 0.0764802197728756 \tabularnewline
84 & 9.561 & 9.51799835873457 & -0.0299674422730849 & 9.63396908353851 & -0.0430016412654251 \tabularnewline
85 & 9.94 & 10.1455225556449 & 0.00875285458844912 & 9.72572458976663 & 0.205522555644919 \tabularnewline
86 & 9.9 & 10.017675373664 & 0.0435174178804456 & 9.73880720845558 & 0.117675373663976 \tabularnewline
87 & 9.275 & 8.8003628066151 & -0.00802794810338437 & 9.75766514148828 & -0.474637193384899 \tabularnewline
88 & 9.56 & 9.3828205046607 & -0.0142748979880885 & 9.75145439332739 & -0.177179495339299 \tabularnewline
89 & 9.779 & 9.84053139301862 & -0.0299674422730849 & 9.74743604925446 & 0.0615313930186225 \tabularnewline
90 & 9.746 & 9.66414873441684 & 0.00875285458844912 & 9.8190984109947 & -0.0818512655831594 \tabularnewline
91 & 9.991 & 10.0076572071137 & 0.0435174178804456 & 9.93082537500584 & 0.0166572071137132 \tabularnewline
92 & 9.98 & 9.92649553616994 & -0.00802794810338437 & 10.0415324119334 & -0.0535044638300644 \tabularnewline
93 & 10.195 & 10.2813164581017 & -0.0142748979880885 & 10.1229584398864 & 0.086316458101658 \tabularnewline
94 & 10.31 & 10.505110939157 & -0.0299674422730849 & 10.1448565031161 & 0.195110939157031 \tabularnewline
95 & 10.25 & 10.3608530191007 & 0.00875285458844912 & 10.1303941263109 & 0.110853019100666 \tabularnewline
96 & 9.871 & 9.62950613023364 & 0.0435174178804456 & 10.0689764518859 & -0.241493869766364 \tabularnewline
97 & 10.06 & 10.1729407519689 & -0.00802794810338437 & 9.95508719613448 & 0.112940751968905 \tabularnewline
98 & 9.894 & 9.95240107389168 & -0.0142748979880885 & 9.8498738240964 & 0.0584010738916803 \tabularnewline
99 & 9.59 & 9.42971835645403 & -0.0299674422730849 & 9.78024908581906 & -0.160281643545972 \tabularnewline
100 & 9.64 & 9.57348855408145 & 0.00875285458844912 & 9.6977585913301 & -0.0665114459185538 \tabularnewline
101 & 9.89 & 10.1306317131479 & 0.0435174178804456 & 9.60585086897166 & 0.240631713147899 \tabularnewline
102 & 9.53 & 9.53911267754314 & -0.00802794810338437 & 9.52891527056024 & 0.00911267754313982 \tabularnewline
103 & 9.388 & 9.31904239155415 & -0.0142748979880885 & 9.47123250643393 & -0.0689576084458459 \tabularnewline
104 & 9.16 & 8.90473809361271 & -0.0299674422730849 & 9.44522934866037 & -0.255261906387286 \tabularnewline
105 & 9.418 & 9.33827373119546 & 0.00875285458844912 & 9.4889734142161 & -0.0797262688045421 \tabularnewline
106 & 9.57 & 9.51467548880583 & 0.0435174178804456 & 9.58180709331372 & -0.0553245111941703 \tabularnewline
107 & 9.857 & 10.0376432608839 & -0.00802794810338437 & 9.68438468721948 & 0.180643260883899 \tabularnewline
108 & 9.877 & 10.0148334699379 & -0.0142748979880885 & 9.75344142805022 & 0.137833469937865 \tabularnewline
109 & 9.76 & 9.78215593359524 & -0.0299674422730849 & 9.76781150867785 & 0.0221559335952364 \tabularnewline
110 & 9.76 & 9.8049137580517 & 0.00875285458844912 & 9.70633338735986 & 0.0449137580516883 \tabularnewline
111 & 9.695 & 9.75360727701657 & 0.0435174178804456 & 9.59287530510299 & 0.0586072770165664 \tabularnewline
112 & 9.475 & 9.5253076931426 & -0.00802794810338437 & 9.4327202549608 & 0.0503076931425905 \tabularnewline
113 & 9.262 & 9.34551698920411 & -0.0142748979880885 & 9.19275790878398 & 0.0835169892041083 \tabularnewline
114 & 9.097 & 9.34105994676313 & -0.0299674422730849 & 8.88290749550996 & 0.244059946763128 \tabularnewline
115 & 8.55 & 8.57492263448682 & 0.00875285458844912 & 8.51632451092473 & 0.0249226344868241 \tabularnewline
116 & 8.16 & 8.16643578302933 & 0.0435174178804456 & 8.11004679909023 & 0.00643578302932823 \tabularnewline
117 & 7.532 & 7.33324323562057 & -0.00802794810338437 & 7.73878471248282 & -0.198756764379433 \tabularnewline
118 & 7.325 & 7.18677824365344 & -0.0142748979880885 & 7.47749665433465 & -0.138221756346561 \tabularnewline
119 & 6.749 & 6.22669822933846 & -0.0299674422730849 & 7.30126921293463 & -0.52230177066154 \tabularnewline
120 & 7.13 & 7.01494919030953 & 0.00875285458844912 & 7.23629795510202 & -0.115050809690473 \tabularnewline
121 & 6.995 & 6.6899186444679 & 0.0435174178804456 & 7.25656393765165 & -0.305081355532098 \tabularnewline
122 & 7.346 & 7.32977674345763 & -0.00802794810338437 & 7.37025120464576 & -0.0162232565423714 \tabularnewline
123 & 7.73 & 8.00619101655414 & -0.0142748979880885 & 7.46808388143395 & 0.276191016554138 \tabularnewline
124 & 7.837 & 8.19099468619747 & -0.0299674422730849 & 7.51297275607561 & 0.35399468619747 \tabularnewline
125 & 7.514 & 7.57649561629524 & 0.00875285458844912 & 7.44275152911631 & 0.062495616295239 \tabularnewline
126 & 7.58 & 7.84628470336455 & 0.0435174178804456 & 7.270197878755 & 0.266284703364555 \tabularnewline
127 & 6.83 & 6.60964024642938 & -0.00802794810338437 & 7.05838770167401 & -0.220359753570623 \tabularnewline
128 & 6.617 & 6.36823326394578 & -0.0142748979880885 & 6.88004163404231 & -0.248766736054222 \tabularnewline
129 & 6.715 & 6.68973573795773 & -0.0299674422730849 & 6.77023170431535 & -0.0252642620422661 \tabularnewline
130 & 6.63 & 6.46899677194926 & 0.00875285458844912 & 6.78225037346229 & -0.161003228050737 \tabularnewline
131 & 6.891 & 6.86579084623621 & 0.0435174178804456 & 6.87269173588335 & -0.0252091537637904 \tabularnewline
132 & 7.002 & 7.00753849530858 & -0.00802794810338437 & 7.0044894527948 & 0.00553849530857864 \tabularnewline
133 & 7.09 & 7.02761841746372 & -0.0142748979880885 & 7.16665648052437 & -0.0623815825362826 \tabularnewline
134 & 7.36 & 7.40852538902657 & -0.0299674422730849 & 7.34144205324652 & 0.0485253890265653 \tabularnewline
135 & 7.477 & 7.45467157120618 & 0.00875285458844912 & 7.49057557420537 & -0.0223284287938172 \tabularnewline
136 & 7.826 & 8.02899600439647 & 0.0435174178804456 & 7.57948657772308 & 0.202996004396472 \tabularnewline
137 & 7.79 & 7.99582420582212 & -0.00802794810338437 & 7.59220374228127 & 0.205824205822116 \tabularnewline
138 & 7.578 & 7.61386484601585 & -0.0142748979880885 & 7.55641005197224 & 0.0358648460158522 \tabularnewline
139 & 7.204 & 6.90102390748252 & -0.0299674422730849 & 7.53694353479056 & -0.30297609251748 \tabularnewline
140 & 7.198 & 6.86278424354715 & 0.00875285458844912 & 7.5244629018644 & -0.335215756452852 \tabularnewline
141 & 7.685 & 7.82186454755893 & 0.0435174178804456 & 7.50461803456062 & 0.136864547558932 \tabularnewline
142 & 7.795 & 8.08871348363005 & -0.00802794810338437 & 7.50931446447333 & 0.29371348363005 \tabularnewline
143 & 7.46 & 7.43688385135506 & -0.0142748979880885 & 7.49739104663303 & -0.0231161486449425 \tabularnewline
144 & 7.274 & 7.09505966557971 & -0.0299674422730849 & 7.48290777669338 & -0.178940334420295 \tabularnewline
145 & 7.33 & 7.14596954534066 & 0.00875285458844912 & 7.50527760007089 & -0.184030454659339 \tabularnewline
146 & 7.655 & 7.70282360609325 & 0.0435174178804456 & 7.56365897602631 & 0.047823606093246 \tabularnewline
147 & 7.767 & 7.93733831648674 & -0.00802794810338437 & 7.60468963161664 & 0.170338316486744 \tabularnewline
148 & 7.84 & 8.0824555929824 & -0.0142748979880885 & 7.6118193050057 & 0.242455592982393 \tabularnewline
149 & 7.424 & 7.32982406499909 & -0.0299674422730849 & 7.548143377274 & -0.0941759350009148 \tabularnewline
150 & 7.54 & 7.6800165019445 & 0.00875285458844912 & 7.39123064346705 & 0.140016501944499 \tabularnewline
151 & 7.351 & 7.45958799533988 & 0.0435174178804456 & 7.19889458677967 & 0.108587995339883 \tabularnewline
152 & 6.735 & 6.46222199709107 & -0.00802794810338437 & 7.01580595101231 & -0.272778002908929 \tabularnewline
153 & 6.777 & 6.69600363790222 & -0.0142748979880885 & 6.87227126008587 & -0.0809963620977792 \tabularnewline
154 & 6.679 & 6.55762196208903 & -0.0299674422730849 & 6.83034548018405 & -0.121378037910969 \tabularnewline
155 & 7.34 & 7.84702971174214 & 0.00875285458844912 & 6.8242174336694 & 0.507029711742143 \tabularnewline
156 & 6.978 & 7.10361801836188 & 0.0435174178804456 & 6.80886456375768 & 0.125618018361878 \tabularnewline
157 & 6.92 & 7.07122490666834 & -0.00802794810338437 & 6.77680304143505 & 0.151224906668337 \tabularnewline
158 & 6.628 & 6.62434597137518 & -0.0142748979880885 & 6.6459289266129 & -0.00365402862481634 \tabularnewline
159 & 6.385 & 6.26825514612111 & -0.0299674422730849 & 6.53171229615198 & -0.116744853878893 \tabularnewline
160 & 5.984 & 5.48599455570187 & 0.00875285458844912 & 6.47325258970968 & -0.498005444298133 \tabularnewline
161 & 6.268 & 6.04759772463763 & 0.0435174178804456 & 6.44488485748193 & -0.220402275362374 \tabularnewline
162 & 6.596 & 6.73496614983722 & -0.00802794810338437 & 6.46506179826617 & 0.138966149837218 \tabularnewline
163 & 6.395 & 6.24082753084374 & -0.0142748979880885 & 6.56344736714435 & -0.154172469156257 \tabularnewline
164 & 6.715 & 6.78715135993425 & -0.0299674422730849 & 6.67281608233884 & 0.0721513599342476 \tabularnewline
165 & 6.804 & 6.83960762493325 & 0.00875285458844912 & 6.7596395204783 & 0.0356076249332533 \tabularnewline
166 & 6.929 & 6.98030281750274 & 0.0435174178804456 & 6.83417976461681 & 0.0513028175027443 \tabularnewline
167 & 6.846 & 6.83746422687743 & -0.00802794810338437 & 6.86256372122595 & -0.00853577312256526 \tabularnewline
168 & 6.992 & 7.15739708594054 & -0.0142748979880885 & 6.84087781204755 & 0.165397085940538 \tabularnewline
169 & 6.774 & 6.80812946422114 & -0.0299674422730849 & 6.76983797805195 & 0.0341294642211372 \tabularnewline
170 & 6.75 & 6.8261810398402 & 0.00875285458844912 & 6.66506610557135 & 0.0761810398401979 \tabularnewline
171 & 6.485 & 6.34121337010977 & 0.0435174178804456 & 6.58526921200979 & -0.143786629890235 \tabularnewline
172 & 6.27 & 5.98727880127293 & -0.00802794810338437 & 6.56074914683045 & -0.282721198727065 \tabularnewline
173 & 6.47 & 6.38329084917137 & -0.0142748979880885 & 6.57098404881672 & -0.0867091508286268 \tabularnewline
174 & 6.78 & 6.96118460398524 & -0.0299674422730849 & 6.62878283828784 & 0.18118460398524 \tabularnewline
175 & 6.71 & 6.72857599154798 & 0.00875285458844912 & 6.68267115386357 & 0.0185759915479826 \tabularnewline
176 & 6.141 & 5.54206282376552 & 0.0435174178804456 & 6.69641975835403 & -0.598937176234477 \tabularnewline
177 & 6.72 & 6.79762879920318 & -0.00802794810338437 & 6.6503991489002 & 0.0776287992031852 \tabularnewline
178 & 6.68 & 6.80742444558356 & -0.0142748979880885 & 6.56685045240453 & 0.127424445583559 \tabularnewline
179 & 6.371 & 6.30959644189697 & -0.0299674422730849 & 6.46237100037612 & -0.0614035581030352 \tabularnewline
180 & 6.097 & 5.79362584567316 & 0.00875285458844912 & 6.39162129973839 & -0.303374154326836 \tabularnewline
181 & 6.27 & 6.14787018556553 & 0.0435174178804456 & 6.34861239655402 & -0.12212981443447 \tabularnewline
182 & 6.447 & 6.54712878618136 & -0.00802794810338437 & 6.35489916192202 & 0.100128786181363 \tabularnewline
183 & 6.37 & 6.34877111295634 & -0.0142748979880885 & 6.40550378503174 & -0.0212288870436561 \tabularnewline
184 & 6.446 & 6.49294771087504 & -0.0299674422730849 & 6.42901973139805 & 0.0469477108750382 \tabularnewline
185 & 6.54 & 6.641356436077 & 0.00875285458844912 & 6.42989070933455 & 0.101356436076999 \tabularnewline
186 & 6.374 & 6.25656025532664 & 0.0435174178804456 & 6.44792232679292 & -0.117439744673362 \tabularnewline
187 & 6.33 & 6.20509589747421 & -0.00802794810338437 & 6.46293205062917 & -0.124904102525789 \tabularnewline
188 & 6.63 & 6.81621779612424 & -0.0142748979880885 & 6.45805710186385 & 0.186217796124238 \tabularnewline
189 & 6.498 & 6.57639475478321 & -0.0299674422730849 & 6.44957268748987 & 0.0783947547832113 \tabularnewline
190 & 6.485 & 6.51925465532113 & 0.00875285458844912 & 6.44199249009042 & 0.0342546553211323 \tabularnewline
191 & 6.36 & 6.24561095144426 & 0.0435174178804456 & 6.4308716306753 & -0.114389048555741 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147326&T=2

[TABLE]
[ROW][C]Seasonal Decomposition by Loess - Time Series Components[/C][/ROW]
[ROW][C]t[/C][C]Observed[/C][C]Fitted[/C][C]Seasonal[/C][C]Trend[/C][C]Remainder[/C][/ROW]
[ROW][C]1[/C][C]11.73[/C][C]11.5213114911731[/C][C]0.0435174178804456[/C][C]11.8951710909465[/C][C]-0.208688508826915[/C][/ROW]
[ROW][C]2[/C][C]11.75[/C][C]11.8966151198939[/C][C]-0.00802794810338437[/C][C]11.6114128282095[/C][C]0.146615119893927[/C][/ROW]
[ROW][C]3[/C][C]11.39[/C][C]11.4774658605693[/C][C]-0.0142748979880885[/C][C]11.3168090374187[/C][C]0.087465860569349[/C][/ROW]
[ROW][C]4[/C][C]11.54[/C][C]12.0919991367276[/C][C]-0.0299674422730849[/C][C]11.0179683055455[/C][C]0.551999136727579[/C][/ROW]
[ROW][C]5[/C][C]9.62[/C][C]8.51977895164561[/C][C]0.00875285458844912[/C][C]10.7114681937659[/C][C]-1.10022104835439[/C][/ROW]
[ROW][C]6[/C][C]9.82[/C][C]9.222715589488[/C][C]0.0435174178804456[/C][C]10.3737669926316[/C][C]-0.597284410511996[/C][/ROW]
[ROW][C]7[/C][C]9.94[/C][C]9.9379313972814[/C][C]-0.00802794810338437[/C][C]9.950096550822[/C][C]-0.00206860271860521[/C][/ROW]
[ROW][C]8[/C][C]9.9[/C][C]9.90828766131654[/C][C]-0.0142748979880885[/C][C]9.90598723667155[/C][C]0.00828766131653502[/C][/ROW]
[ROW][C]9[/C][C]9.8[/C][C]9.69812384404147[/C][C]-0.0299674422730849[/C][C]9.93184359823161[/C][C]-0.101876155958529[/C][/ROW]
[ROW][C]10[/C][C]9.86[/C][C]9.69924218116251[/C][C]0.00875285458844912[/C][C]10.012004964249[/C][C]-0.160757818837485[/C][/ROW]
[ROW][C]11[/C][C]10.5[/C][C]10.8985304413914[/C][C]0.0435174178804456[/C][C]10.0579521407281[/C][C]0.398530441391429[/C][/ROW]
[ROW][C]12[/C][C]10.33[/C][C]10.575389756922[/C][C]-0.00802794810338437[/C][C]10.0926381911814[/C][C]0.245389756921959[/C][/ROW]
[ROW][C]13[/C][C]10.16[/C][C]10.214778268846[/C][C]-0.0142748979880885[/C][C]10.1194966291421[/C][C]0.0547782688460252[/C][/ROW]
[ROW][C]14[/C][C]9.91[/C][C]9.7937580216273[/C][C]-0.0299674422730849[/C][C]10.0562094206458[/C][C]-0.116241978372706[/C][/ROW]
[ROW][C]15[/C][C]9.96[/C][C]9.97372993870662[/C][C]0.00875285458844912[/C][C]9.93751720670494[/C][C]0.0137299387066143[/C][/ROW]
[ROW][C]16[/C][C]10.03[/C][C]10.1755593742843[/C][C]0.0435174178804456[/C][C]9.84092320783529[/C][C]0.145559374284264[/C][/ROW]
[ROW][C]17[/C][C]9.55[/C][C]9.29082266618663[/C][C]-0.00802794810338437[/C][C]9.81720528191675[/C][C]-0.259177333813369[/C][/ROW]
[ROW][C]18[/C][C]9.51[/C][C]9.20296984724197[/C][C]-0.0142748979880885[/C][C]9.83130505074612[/C][C]-0.307030152758033[/C][/ROW]
[ROW][C]19[/C][C]9.8[/C][C]9.75847374130048[/C][C]-0.0299674422730849[/C][C]9.8714937009726[/C][C]-0.0415262586995251[/C][/ROW]
[ROW][C]20[/C][C]10.08[/C][C]10.1705071806703[/C][C]0.00875285458844912[/C][C]9.98073996474122[/C][C]0.090507180670329[/C][/ROW]
[ROW][C]21[/C][C]10.2[/C][C]10.2628482252064[/C][C]0.0435174178804456[/C][C]10.0936343569132[/C][C]0.0628482252063822[/C][/ROW]
[ROW][C]22[/C][C]10.23[/C][C]10.3237354210183[/C][C]-0.00802794810338437[/C][C]10.1442925270851[/C][C]0.0937354210182502[/C][/ROW]
[ROW][C]23[/C][C]10.2[/C][C]10.2728895664294[/C][C]-0.0142748979880885[/C][C]10.1413853315587[/C][C]0.0728895664293905[/C][/ROW]
[ROW][C]24[/C][C]10.07[/C][C]10.0653358653334[/C][C]-0.0299674422730849[/C][C]10.1046315769397[/C][C]-0.0046641346665961[/C][/ROW]
[ROW][C]25[/C][C]10.01[/C][C]9.95663553535302[/C][C]0.00875285458844912[/C][C]10.0546116100585[/C][C]-0.0533644646469824[/C][/ROW]
[ROW][C]26[/C][C]10.05[/C][C]10.0308865954502[/C][C]0.0435174178804456[/C][C]10.0255959866693[/C][C]-0.0191134045497794[/C][/ROW]
[ROW][C]27[/C][C]9.92[/C][C]9.81480484670557[/C][C]-0.00802794810338437[/C][C]10.0332231013978[/C][C]-0.105195153294433[/C][/ROW]
[ROW][C]28[/C][C]10.03[/C][C]10.0183557423783[/C][C]-0.0142748979880885[/C][C]10.0559191556098[/C][C]-0.0116442576216702[/C][/ROW]
[ROW][C]29[/C][C]10.18[/C][C]10.3052277499402[/C][C]-0.0299674422730849[/C][C]10.0847396923328[/C][C]0.125227749940237[/C][/ROW]
[ROW][C]30[/C][C]10.1[/C][C]10.0739274898375[/C][C]0.00875285458844912[/C][C]10.117319655574[/C][C]-0.0260725101624715[/C][/ROW]
[ROW][C]31[/C][C]10.16[/C][C]10.1431272076416[/C][C]0.0435174178804456[/C][C]10.133355374478[/C][C]-0.0168727923584022[/C][/ROW]
[ROW][C]32[/C][C]10.15[/C][C]10.1743037078809[/C][C]-0.00802794810338437[/C][C]10.1337242402224[/C][C]0.0243037078809465[/C][/ROW]
[ROW][C]33[/C][C]10.13[/C][C]10.1403279667662[/C][C]-0.0142748979880885[/C][C]10.1339469312219[/C][C]0.0103279667661589[/C][/ROW]
[ROW][C]34[/C][C]10.09[/C][C]10.1031883291356[/C][C]-0.0299674422730849[/C][C]10.1067791131374[/C][C]0.0131883291356356[/C][/ROW]
[ROW][C]35[/C][C]10.18[/C][C]10.3172078478655[/C][C]0.00875285458844912[/C][C]10.0340392975461[/C][C]0.137207847865467[/C][/ROW]
[ROW][C]36[/C][C]10.06[/C][C]10.1360151350984[/C][C]0.0435174178804456[/C][C]9.94046744702113[/C][C]0.0760151350984213[/C][/ROW]
[ROW][C]37[/C][C]9.65[/C][C]9.47949924945813[/C][C]-0.00802794810338437[/C][C]9.82852869864525[/C][C]-0.170500750541866[/C][/ROW]
[ROW][C]38[/C][C]9.74[/C][C]9.7976762342324[/C][C]-0.0142748979880885[/C][C]9.6965986637557[/C][C]0.057676234232396[/C][/ROW]
[ROW][C]39[/C][C]9.53[/C][C]9.52455892317192[/C][C]-0.0299674422730849[/C][C]9.56540851910117[/C][C]-0.00544107682808281[/C][/ROW]
[ROW][C]40[/C][C]9.5[/C][C]9.5324991548807[/C][C]0.00875285458844912[/C][C]9.45874799053085[/C][C]0.0324991548807034[/C][/ROW]
[ROW][C]41[/C][C]9[/C][C]8.5572561865984[/C][C]0.0435174178804456[/C][C]9.39922639552115[/C][C]-0.442743813401599[/C][/ROW]
[ROW][C]42[/C][C]9.15[/C][C]8.92553359212247[/C][C]-0.00802794810338437[/C][C]9.38249435598092[/C][C]-0.22446640787753[/C][/ROW]
[ROW][C]43[/C][C]9.32[/C][C]9.27339985347659[/C][C]-0.0142748979880885[/C][C]9.3808750445115[/C][C]-0.0466001465234136[/C][/ROW]
[ROW][C]44[/C][C]9.62[/C][C]9.8573603092895[/C][C]-0.0299674422730849[/C][C]9.41260713298358[/C][C]0.237360309289501[/C][/ROW]
[ROW][C]45[/C][C]9.59[/C][C]9.73612909607043[/C][C]0.00875285458844912[/C][C]9.43511804934112[/C][C]0.146129096070434[/C][/ROW]
[ROW][C]46[/C][C]9.37[/C][C]9.26207117097163[/C][C]0.0435174178804456[/C][C]9.43441141114792[/C][C]-0.107928829028367[/C][/ROW]
[ROW][C]47[/C][C]9.35[/C][C]9.29097078088526[/C][C]-0.00802794810338437[/C][C]9.41705716721813[/C][C]-0.059029219114743[/C][/ROW]
[ROW][C]48[/C][C]9.32[/C][C]9.23412610037684[/C][C]-0.0142748979880885[/C][C]9.42014879761125[/C][C]-0.0858738996231612[/C][/ROW]
[ROW][C]49[/C][C]9.49[/C][C]9.56372219513465[/C][C]-0.0299674422730849[/C][C]9.44624524713844[/C][C]0.073722195134648[/C][/ROW]
[ROW][C]50[/C][C]9.52[/C][C]9.57120984860402[/C][C]0.00875285458844912[/C][C]9.46003729680753[/C][C]0.0512098486040209[/C][/ROW]
[ROW][C]51[/C][C]9.59[/C][C]9.6800800480439[/C][C]0.0435174178804456[/C][C]9.45640253407565[/C][C]0.090080048043907[/C][/ROW]
[ROW][C]52[/C][C]9.35[/C][C]9.23282865400946[/C][C]-0.00802794810338437[/C][C]9.47519929409392[/C][C]-0.117171345990537[/C][/ROW]
[ROW][C]53[/C][C]9.2[/C][C]8.89766234841946[/C][C]-0.0142748979880885[/C][C]9.51661254956863[/C][C]-0.302337651580542[/C][/ROW]
[ROW][C]54[/C][C]9.57[/C][C]9.60802292466568[/C][C]-0.0299674422730849[/C][C]9.5619445176074[/C][C]0.0380229246656771[/C][/ROW]
[ROW][C]55[/C][C]9.78[/C][C]9.93940757817894[/C][C]0.00875285458844912[/C][C]9.6118395672326[/C][C]0.159407578178941[/C][/ROW]
[ROW][C]56[/C][C]9.79[/C][C]9.89041280319846[/C][C]0.0435174178804456[/C][C]9.6460697789211[/C][C]0.100412803198459[/C][/ROW]
[ROW][C]57[/C][C]9.57[/C][C]9.51300789406747[/C][C]-0.00802794810338437[/C][C]9.63502005403592[/C][C]-0.0569921059325349[/C][/ROW]
[ROW][C]58[/C][C]9.53[/C][C]9.49793509157488[/C][C]-0.0142748979880885[/C][C]9.5763398064132[/C][C]-0.0320649084251219[/C][/ROW]
[ROW][C]59[/C][C]9.65[/C][C]9.8249322490935[/C][C]-0.0299674422730849[/C][C]9.5050351931796[/C][C]0.174932249093494[/C][/ROW]
[ROW][C]60[/C][C]9.36[/C][C]9.2634377399902[/C][C]0.00875285458844912[/C][C]9.44780940542134[/C][C]-0.0965622600097902[/C][/ROW]
[ROW][C]61[/C][C]9.4[/C][C]9.36602652591207[/C][C]0.0435174178804456[/C][C]9.39045605620748[/C][C]-0.0339734740879294[/C][/ROW]
[ROW][C]62[/C][C]9.32[/C][C]9.31174708997458[/C][C]-0.00802794810338437[/C][C]9.3362808581288[/C][C]-0.0082529100254174[/C][/ROW]
[ROW][C]63[/C][C]9.31[/C][C]9.32030845789514[/C][C]-0.0142748979880885[/C][C]9.31396644009295[/C][C]0.0103084578951407[/C][/ROW]
[ROW][C]64[/C][C]9.19[/C][C]9.1088840570899[/C][C]-0.0299674422730849[/C][C]9.30108338518318[/C][C]-0.081115942910099[/C][/ROW]
[ROW][C]65[/C][C]9.39[/C][C]9.4794223438402[/C][C]0.00875285458844912[/C][C]9.29182480157134[/C][C]0.0894223438402069[/C][/ROW]
[ROW][C]66[/C][C]9.28[/C][C]9.22288255881446[/C][C]0.0435174178804456[/C][C]9.29360002330509[/C][C]-0.0571174411855377[/C][/ROW]
[ROW][C]67[/C][C]9.28[/C][C]9.26909099810993[/C][C]-0.00802794810338437[/C][C]9.29893694999345[/C][C]-0.0109090018900702[/C][/ROW]
[ROW][C]68[/C][C]9.31[/C][C]9.33485710836248[/C][C]-0.0142748979880885[/C][C]9.29941778962561[/C][C]0.0248571083624753[/C][/ROW]
[ROW][C]69[/C][C]9.28[/C][C]9.29023308977705[/C][C]-0.0299674422730849[/C][C]9.29973435249603[/C][C]0.0102330897770528[/C][/ROW]
[ROW][C]70[/C][C]9.31[/C][C]9.32855614961008[/C][C]0.00875285458844912[/C][C]9.28269099580147[/C][C]0.0185561496100828[/C][/ROW]
[ROW][C]71[/C][C]9.35[/C][C]9.417708959474[/C][C]0.0435174178804456[/C][C]9.23877362264556[/C][C]0.067708959473995[/C][/ROW]
[ROW][C]72[/C][C]9.19[/C][C]9.22307993563212[/C][C]-0.00802794810338437[/C][C]9.16494801247126[/C][C]0.0330799356321236[/C][/ROW]
[ROW][C]73[/C][C]9.07[/C][C]9.10557659692115[/C][C]-0.0142748979880885[/C][C]9.04869830106693[/C][C]0.0355765969211532[/C][/ROW]
[ROW][C]74[/C][C]8.96[/C][C]9.04331310100088[/C][C]-0.0299674422730849[/C][C]8.9066543412722[/C][C]0.0833131010008774[/C][/ROW]
[ROW][C]75[/C][C]8.69[/C][C]8.5994106459792[/C][C]0.00875285458844912[/C][C]8.77183649943236[/C][C]-0.0905893540208087[/C][/ROW]
[ROW][C]76[/C][C]8.58[/C][C]8.46411093072048[/C][C]0.0435174178804456[/C][C]8.65237165139907[/C][C]-0.115889069279518[/C][/ROW]
[ROW][C]77[/C][C]8.56[/C][C]8.55281068684725[/C][C]-0.00802794810338437[/C][C]8.57521726125614[/C][C]-0.00718931315275384[/C][/ROW]
[ROW][C]78[/C][C]8.47[/C][C]8.37752726625978[/C][C]-0.0142748979880885[/C][C]8.5767476317283[/C][C]-0.0924727337402178[/C][/ROW]
[ROW][C]79[/C][C]8.46[/C][C]8.2962179352997[/C][C]-0.0299674422730849[/C][C]8.65374950697338[/C][C]-0.163782064700293[/C][/ROW]
[ROW][C]80[/C][C]8.75[/C][C]8.69029354022147[/C][C]0.00875285458844912[/C][C]8.80095360519008[/C][C]-0.0597064597785284[/C][/ROW]
[ROW][C]81[/C][C]8.95[/C][C]8.85538036341912[/C][C]0.0435174178804456[/C][C]9.00110221870044[/C][C]-0.094619636580882[/C][/ROW]
[ROW][C]82[/C][C]9.33[/C][C]9.44177022341295[/C][C]-0.00802794810338437[/C][C]9.22625772469044[/C][C]0.111770223412949[/C][/ROW]
[ROW][C]83[/C][C]9.51[/C][C]9.58648021977288[/C][C]-0.0142748979880885[/C][C]9.44779467821521[/C][C]0.0764802197728756[/C][/ROW]
[ROW][C]84[/C][C]9.561[/C][C]9.51799835873457[/C][C]-0.0299674422730849[/C][C]9.63396908353851[/C][C]-0.0430016412654251[/C][/ROW]
[ROW][C]85[/C][C]9.94[/C][C]10.1455225556449[/C][C]0.00875285458844912[/C][C]9.72572458976663[/C][C]0.205522555644919[/C][/ROW]
[ROW][C]86[/C][C]9.9[/C][C]10.017675373664[/C][C]0.0435174178804456[/C][C]9.73880720845558[/C][C]0.117675373663976[/C][/ROW]
[ROW][C]87[/C][C]9.275[/C][C]8.8003628066151[/C][C]-0.00802794810338437[/C][C]9.75766514148828[/C][C]-0.474637193384899[/C][/ROW]
[ROW][C]88[/C][C]9.56[/C][C]9.3828205046607[/C][C]-0.0142748979880885[/C][C]9.75145439332739[/C][C]-0.177179495339299[/C][/ROW]
[ROW][C]89[/C][C]9.779[/C][C]9.84053139301862[/C][C]-0.0299674422730849[/C][C]9.74743604925446[/C][C]0.0615313930186225[/C][/ROW]
[ROW][C]90[/C][C]9.746[/C][C]9.66414873441684[/C][C]0.00875285458844912[/C][C]9.8190984109947[/C][C]-0.0818512655831594[/C][/ROW]
[ROW][C]91[/C][C]9.991[/C][C]10.0076572071137[/C][C]0.0435174178804456[/C][C]9.93082537500584[/C][C]0.0166572071137132[/C][/ROW]
[ROW][C]92[/C][C]9.98[/C][C]9.92649553616994[/C][C]-0.00802794810338437[/C][C]10.0415324119334[/C][C]-0.0535044638300644[/C][/ROW]
[ROW][C]93[/C][C]10.195[/C][C]10.2813164581017[/C][C]-0.0142748979880885[/C][C]10.1229584398864[/C][C]0.086316458101658[/C][/ROW]
[ROW][C]94[/C][C]10.31[/C][C]10.505110939157[/C][C]-0.0299674422730849[/C][C]10.1448565031161[/C][C]0.195110939157031[/C][/ROW]
[ROW][C]95[/C][C]10.25[/C][C]10.3608530191007[/C][C]0.00875285458844912[/C][C]10.1303941263109[/C][C]0.110853019100666[/C][/ROW]
[ROW][C]96[/C][C]9.871[/C][C]9.62950613023364[/C][C]0.0435174178804456[/C][C]10.0689764518859[/C][C]-0.241493869766364[/C][/ROW]
[ROW][C]97[/C][C]10.06[/C][C]10.1729407519689[/C][C]-0.00802794810338437[/C][C]9.95508719613448[/C][C]0.112940751968905[/C][/ROW]
[ROW][C]98[/C][C]9.894[/C][C]9.95240107389168[/C][C]-0.0142748979880885[/C][C]9.8498738240964[/C][C]0.0584010738916803[/C][/ROW]
[ROW][C]99[/C][C]9.59[/C][C]9.42971835645403[/C][C]-0.0299674422730849[/C][C]9.78024908581906[/C][C]-0.160281643545972[/C][/ROW]
[ROW][C]100[/C][C]9.64[/C][C]9.57348855408145[/C][C]0.00875285458844912[/C][C]9.6977585913301[/C][C]-0.0665114459185538[/C][/ROW]
[ROW][C]101[/C][C]9.89[/C][C]10.1306317131479[/C][C]0.0435174178804456[/C][C]9.60585086897166[/C][C]0.240631713147899[/C][/ROW]
[ROW][C]102[/C][C]9.53[/C][C]9.53911267754314[/C][C]-0.00802794810338437[/C][C]9.52891527056024[/C][C]0.00911267754313982[/C][/ROW]
[ROW][C]103[/C][C]9.388[/C][C]9.31904239155415[/C][C]-0.0142748979880885[/C][C]9.47123250643393[/C][C]-0.0689576084458459[/C][/ROW]
[ROW][C]104[/C][C]9.16[/C][C]8.90473809361271[/C][C]-0.0299674422730849[/C][C]9.44522934866037[/C][C]-0.255261906387286[/C][/ROW]
[ROW][C]105[/C][C]9.418[/C][C]9.33827373119546[/C][C]0.00875285458844912[/C][C]9.4889734142161[/C][C]-0.0797262688045421[/C][/ROW]
[ROW][C]106[/C][C]9.57[/C][C]9.51467548880583[/C][C]0.0435174178804456[/C][C]9.58180709331372[/C][C]-0.0553245111941703[/C][/ROW]
[ROW][C]107[/C][C]9.857[/C][C]10.0376432608839[/C][C]-0.00802794810338437[/C][C]9.68438468721948[/C][C]0.180643260883899[/C][/ROW]
[ROW][C]108[/C][C]9.877[/C][C]10.0148334699379[/C][C]-0.0142748979880885[/C][C]9.75344142805022[/C][C]0.137833469937865[/C][/ROW]
[ROW][C]109[/C][C]9.76[/C][C]9.78215593359524[/C][C]-0.0299674422730849[/C][C]9.76781150867785[/C][C]0.0221559335952364[/C][/ROW]
[ROW][C]110[/C][C]9.76[/C][C]9.8049137580517[/C][C]0.00875285458844912[/C][C]9.70633338735986[/C][C]0.0449137580516883[/C][/ROW]
[ROW][C]111[/C][C]9.695[/C][C]9.75360727701657[/C][C]0.0435174178804456[/C][C]9.59287530510299[/C][C]0.0586072770165664[/C][/ROW]
[ROW][C]112[/C][C]9.475[/C][C]9.5253076931426[/C][C]-0.00802794810338437[/C][C]9.4327202549608[/C][C]0.0503076931425905[/C][/ROW]
[ROW][C]113[/C][C]9.262[/C][C]9.34551698920411[/C][C]-0.0142748979880885[/C][C]9.19275790878398[/C][C]0.0835169892041083[/C][/ROW]
[ROW][C]114[/C][C]9.097[/C][C]9.34105994676313[/C][C]-0.0299674422730849[/C][C]8.88290749550996[/C][C]0.244059946763128[/C][/ROW]
[ROW][C]115[/C][C]8.55[/C][C]8.57492263448682[/C][C]0.00875285458844912[/C][C]8.51632451092473[/C][C]0.0249226344868241[/C][/ROW]
[ROW][C]116[/C][C]8.16[/C][C]8.16643578302933[/C][C]0.0435174178804456[/C][C]8.11004679909023[/C][C]0.00643578302932823[/C][/ROW]
[ROW][C]117[/C][C]7.532[/C][C]7.33324323562057[/C][C]-0.00802794810338437[/C][C]7.73878471248282[/C][C]-0.198756764379433[/C][/ROW]
[ROW][C]118[/C][C]7.325[/C][C]7.18677824365344[/C][C]-0.0142748979880885[/C][C]7.47749665433465[/C][C]-0.138221756346561[/C][/ROW]
[ROW][C]119[/C][C]6.749[/C][C]6.22669822933846[/C][C]-0.0299674422730849[/C][C]7.30126921293463[/C][C]-0.52230177066154[/C][/ROW]
[ROW][C]120[/C][C]7.13[/C][C]7.01494919030953[/C][C]0.00875285458844912[/C][C]7.23629795510202[/C][C]-0.115050809690473[/C][/ROW]
[ROW][C]121[/C][C]6.995[/C][C]6.6899186444679[/C][C]0.0435174178804456[/C][C]7.25656393765165[/C][C]-0.305081355532098[/C][/ROW]
[ROW][C]122[/C][C]7.346[/C][C]7.32977674345763[/C][C]-0.00802794810338437[/C][C]7.37025120464576[/C][C]-0.0162232565423714[/C][/ROW]
[ROW][C]123[/C][C]7.73[/C][C]8.00619101655414[/C][C]-0.0142748979880885[/C][C]7.46808388143395[/C][C]0.276191016554138[/C][/ROW]
[ROW][C]124[/C][C]7.837[/C][C]8.19099468619747[/C][C]-0.0299674422730849[/C][C]7.51297275607561[/C][C]0.35399468619747[/C][/ROW]
[ROW][C]125[/C][C]7.514[/C][C]7.57649561629524[/C][C]0.00875285458844912[/C][C]7.44275152911631[/C][C]0.062495616295239[/C][/ROW]
[ROW][C]126[/C][C]7.58[/C][C]7.84628470336455[/C][C]0.0435174178804456[/C][C]7.270197878755[/C][C]0.266284703364555[/C][/ROW]
[ROW][C]127[/C][C]6.83[/C][C]6.60964024642938[/C][C]-0.00802794810338437[/C][C]7.05838770167401[/C][C]-0.220359753570623[/C][/ROW]
[ROW][C]128[/C][C]6.617[/C][C]6.36823326394578[/C][C]-0.0142748979880885[/C][C]6.88004163404231[/C][C]-0.248766736054222[/C][/ROW]
[ROW][C]129[/C][C]6.715[/C][C]6.68973573795773[/C][C]-0.0299674422730849[/C][C]6.77023170431535[/C][C]-0.0252642620422661[/C][/ROW]
[ROW][C]130[/C][C]6.63[/C][C]6.46899677194926[/C][C]0.00875285458844912[/C][C]6.78225037346229[/C][C]-0.161003228050737[/C][/ROW]
[ROW][C]131[/C][C]6.891[/C][C]6.86579084623621[/C][C]0.0435174178804456[/C][C]6.87269173588335[/C][C]-0.0252091537637904[/C][/ROW]
[ROW][C]132[/C][C]7.002[/C][C]7.00753849530858[/C][C]-0.00802794810338437[/C][C]7.0044894527948[/C][C]0.00553849530857864[/C][/ROW]
[ROW][C]133[/C][C]7.09[/C][C]7.02761841746372[/C][C]-0.0142748979880885[/C][C]7.16665648052437[/C][C]-0.0623815825362826[/C][/ROW]
[ROW][C]134[/C][C]7.36[/C][C]7.40852538902657[/C][C]-0.0299674422730849[/C][C]7.34144205324652[/C][C]0.0485253890265653[/C][/ROW]
[ROW][C]135[/C][C]7.477[/C][C]7.45467157120618[/C][C]0.00875285458844912[/C][C]7.49057557420537[/C][C]-0.0223284287938172[/C][/ROW]
[ROW][C]136[/C][C]7.826[/C][C]8.02899600439647[/C][C]0.0435174178804456[/C][C]7.57948657772308[/C][C]0.202996004396472[/C][/ROW]
[ROW][C]137[/C][C]7.79[/C][C]7.99582420582212[/C][C]-0.00802794810338437[/C][C]7.59220374228127[/C][C]0.205824205822116[/C][/ROW]
[ROW][C]138[/C][C]7.578[/C][C]7.61386484601585[/C][C]-0.0142748979880885[/C][C]7.55641005197224[/C][C]0.0358648460158522[/C][/ROW]
[ROW][C]139[/C][C]7.204[/C][C]6.90102390748252[/C][C]-0.0299674422730849[/C][C]7.53694353479056[/C][C]-0.30297609251748[/C][/ROW]
[ROW][C]140[/C][C]7.198[/C][C]6.86278424354715[/C][C]0.00875285458844912[/C][C]7.5244629018644[/C][C]-0.335215756452852[/C][/ROW]
[ROW][C]141[/C][C]7.685[/C][C]7.82186454755893[/C][C]0.0435174178804456[/C][C]7.50461803456062[/C][C]0.136864547558932[/C][/ROW]
[ROW][C]142[/C][C]7.795[/C][C]8.08871348363005[/C][C]-0.00802794810338437[/C][C]7.50931446447333[/C][C]0.29371348363005[/C][/ROW]
[ROW][C]143[/C][C]7.46[/C][C]7.43688385135506[/C][C]-0.0142748979880885[/C][C]7.49739104663303[/C][C]-0.0231161486449425[/C][/ROW]
[ROW][C]144[/C][C]7.274[/C][C]7.09505966557971[/C][C]-0.0299674422730849[/C][C]7.48290777669338[/C][C]-0.178940334420295[/C][/ROW]
[ROW][C]145[/C][C]7.33[/C][C]7.14596954534066[/C][C]0.00875285458844912[/C][C]7.50527760007089[/C][C]-0.184030454659339[/C][/ROW]
[ROW][C]146[/C][C]7.655[/C][C]7.70282360609325[/C][C]0.0435174178804456[/C][C]7.56365897602631[/C][C]0.047823606093246[/C][/ROW]
[ROW][C]147[/C][C]7.767[/C][C]7.93733831648674[/C][C]-0.00802794810338437[/C][C]7.60468963161664[/C][C]0.170338316486744[/C][/ROW]
[ROW][C]148[/C][C]7.84[/C][C]8.0824555929824[/C][C]-0.0142748979880885[/C][C]7.6118193050057[/C][C]0.242455592982393[/C][/ROW]
[ROW][C]149[/C][C]7.424[/C][C]7.32982406499909[/C][C]-0.0299674422730849[/C][C]7.548143377274[/C][C]-0.0941759350009148[/C][/ROW]
[ROW][C]150[/C][C]7.54[/C][C]7.6800165019445[/C][C]0.00875285458844912[/C][C]7.39123064346705[/C][C]0.140016501944499[/C][/ROW]
[ROW][C]151[/C][C]7.351[/C][C]7.45958799533988[/C][C]0.0435174178804456[/C][C]7.19889458677967[/C][C]0.108587995339883[/C][/ROW]
[ROW][C]152[/C][C]6.735[/C][C]6.46222199709107[/C][C]-0.00802794810338437[/C][C]7.01580595101231[/C][C]-0.272778002908929[/C][/ROW]
[ROW][C]153[/C][C]6.777[/C][C]6.69600363790222[/C][C]-0.0142748979880885[/C][C]6.87227126008587[/C][C]-0.0809963620977792[/C][/ROW]
[ROW][C]154[/C][C]6.679[/C][C]6.55762196208903[/C][C]-0.0299674422730849[/C][C]6.83034548018405[/C][C]-0.121378037910969[/C][/ROW]
[ROW][C]155[/C][C]7.34[/C][C]7.84702971174214[/C][C]0.00875285458844912[/C][C]6.8242174336694[/C][C]0.507029711742143[/C][/ROW]
[ROW][C]156[/C][C]6.978[/C][C]7.10361801836188[/C][C]0.0435174178804456[/C][C]6.80886456375768[/C][C]0.125618018361878[/C][/ROW]
[ROW][C]157[/C][C]6.92[/C][C]7.07122490666834[/C][C]-0.00802794810338437[/C][C]6.77680304143505[/C][C]0.151224906668337[/C][/ROW]
[ROW][C]158[/C][C]6.628[/C][C]6.62434597137518[/C][C]-0.0142748979880885[/C][C]6.6459289266129[/C][C]-0.00365402862481634[/C][/ROW]
[ROW][C]159[/C][C]6.385[/C][C]6.26825514612111[/C][C]-0.0299674422730849[/C][C]6.53171229615198[/C][C]-0.116744853878893[/C][/ROW]
[ROW][C]160[/C][C]5.984[/C][C]5.48599455570187[/C][C]0.00875285458844912[/C][C]6.47325258970968[/C][C]-0.498005444298133[/C][/ROW]
[ROW][C]161[/C][C]6.268[/C][C]6.04759772463763[/C][C]0.0435174178804456[/C][C]6.44488485748193[/C][C]-0.220402275362374[/C][/ROW]
[ROW][C]162[/C][C]6.596[/C][C]6.73496614983722[/C][C]-0.00802794810338437[/C][C]6.46506179826617[/C][C]0.138966149837218[/C][/ROW]
[ROW][C]163[/C][C]6.395[/C][C]6.24082753084374[/C][C]-0.0142748979880885[/C][C]6.56344736714435[/C][C]-0.154172469156257[/C][/ROW]
[ROW][C]164[/C][C]6.715[/C][C]6.78715135993425[/C][C]-0.0299674422730849[/C][C]6.67281608233884[/C][C]0.0721513599342476[/C][/ROW]
[ROW][C]165[/C][C]6.804[/C][C]6.83960762493325[/C][C]0.00875285458844912[/C][C]6.7596395204783[/C][C]0.0356076249332533[/C][/ROW]
[ROW][C]166[/C][C]6.929[/C][C]6.98030281750274[/C][C]0.0435174178804456[/C][C]6.83417976461681[/C][C]0.0513028175027443[/C][/ROW]
[ROW][C]167[/C][C]6.846[/C][C]6.83746422687743[/C][C]-0.00802794810338437[/C][C]6.86256372122595[/C][C]-0.00853577312256526[/C][/ROW]
[ROW][C]168[/C][C]6.992[/C][C]7.15739708594054[/C][C]-0.0142748979880885[/C][C]6.84087781204755[/C][C]0.165397085940538[/C][/ROW]
[ROW][C]169[/C][C]6.774[/C][C]6.80812946422114[/C][C]-0.0299674422730849[/C][C]6.76983797805195[/C][C]0.0341294642211372[/C][/ROW]
[ROW][C]170[/C][C]6.75[/C][C]6.8261810398402[/C][C]0.00875285458844912[/C][C]6.66506610557135[/C][C]0.0761810398401979[/C][/ROW]
[ROW][C]171[/C][C]6.485[/C][C]6.34121337010977[/C][C]0.0435174178804456[/C][C]6.58526921200979[/C][C]-0.143786629890235[/C][/ROW]
[ROW][C]172[/C][C]6.27[/C][C]5.98727880127293[/C][C]-0.00802794810338437[/C][C]6.56074914683045[/C][C]-0.282721198727065[/C][/ROW]
[ROW][C]173[/C][C]6.47[/C][C]6.38329084917137[/C][C]-0.0142748979880885[/C][C]6.57098404881672[/C][C]-0.0867091508286268[/C][/ROW]
[ROW][C]174[/C][C]6.78[/C][C]6.96118460398524[/C][C]-0.0299674422730849[/C][C]6.62878283828784[/C][C]0.18118460398524[/C][/ROW]
[ROW][C]175[/C][C]6.71[/C][C]6.72857599154798[/C][C]0.00875285458844912[/C][C]6.68267115386357[/C][C]0.0185759915479826[/C][/ROW]
[ROW][C]176[/C][C]6.141[/C][C]5.54206282376552[/C][C]0.0435174178804456[/C][C]6.69641975835403[/C][C]-0.598937176234477[/C][/ROW]
[ROW][C]177[/C][C]6.72[/C][C]6.79762879920318[/C][C]-0.00802794810338437[/C][C]6.6503991489002[/C][C]0.0776287992031852[/C][/ROW]
[ROW][C]178[/C][C]6.68[/C][C]6.80742444558356[/C][C]-0.0142748979880885[/C][C]6.56685045240453[/C][C]0.127424445583559[/C][/ROW]
[ROW][C]179[/C][C]6.371[/C][C]6.30959644189697[/C][C]-0.0299674422730849[/C][C]6.46237100037612[/C][C]-0.0614035581030352[/C][/ROW]
[ROW][C]180[/C][C]6.097[/C][C]5.79362584567316[/C][C]0.00875285458844912[/C][C]6.39162129973839[/C][C]-0.303374154326836[/C][/ROW]
[ROW][C]181[/C][C]6.27[/C][C]6.14787018556553[/C][C]0.0435174178804456[/C][C]6.34861239655402[/C][C]-0.12212981443447[/C][/ROW]
[ROW][C]182[/C][C]6.447[/C][C]6.54712878618136[/C][C]-0.00802794810338437[/C][C]6.35489916192202[/C][C]0.100128786181363[/C][/ROW]
[ROW][C]183[/C][C]6.37[/C][C]6.34877111295634[/C][C]-0.0142748979880885[/C][C]6.40550378503174[/C][C]-0.0212288870436561[/C][/ROW]
[ROW][C]184[/C][C]6.446[/C][C]6.49294771087504[/C][C]-0.0299674422730849[/C][C]6.42901973139805[/C][C]0.0469477108750382[/C][/ROW]
[ROW][C]185[/C][C]6.54[/C][C]6.641356436077[/C][C]0.00875285458844912[/C][C]6.42989070933455[/C][C]0.101356436076999[/C][/ROW]
[ROW][C]186[/C][C]6.374[/C][C]6.25656025532664[/C][C]0.0435174178804456[/C][C]6.44792232679292[/C][C]-0.117439744673362[/C][/ROW]
[ROW][C]187[/C][C]6.33[/C][C]6.20509589747421[/C][C]-0.00802794810338437[/C][C]6.46293205062917[/C][C]-0.124904102525789[/C][/ROW]
[ROW][C]188[/C][C]6.63[/C][C]6.81621779612424[/C][C]-0.0142748979880885[/C][C]6.45805710186385[/C][C]0.186217796124238[/C][/ROW]
[ROW][C]189[/C][C]6.498[/C][C]6.57639475478321[/C][C]-0.0299674422730849[/C][C]6.44957268748987[/C][C]0.0783947547832113[/C][/ROW]
[ROW][C]190[/C][C]6.485[/C][C]6.51925465532113[/C][C]0.00875285458844912[/C][C]6.44199249009042[/C][C]0.0342546553211323[/C][/ROW]
[ROW][C]191[/C][C]6.36[/C][C]6.24561095144426[/C][C]0.0435174178804456[/C][C]6.4308716306753[/C][C]-0.114389048555741[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147326&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147326&T=2

As an alternative you can also use a QR Code:  

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

Seasonal Decomposition by Loess - Time Series Components
tObservedFittedSeasonalTrendRemainder
111.7311.52131149117310.043517417880445611.8951710909465-0.208688508826915
211.7511.8966151198939-0.0080279481033843711.61141282820950.146615119893927
311.3911.4774658605693-0.014274897988088511.31680903741870.087465860569349
411.5412.0919991367276-0.029967442273084911.01796830554550.551999136727579
59.628.519778951645610.0087528545884491210.7114681937659-1.10022104835439
69.829.2227155894880.043517417880445610.3737669926316-0.597284410511996
79.949.9379313972814-0.008027948103384379.950096550822-0.00206860271860521
89.99.90828766131654-0.01427489798808859.905987236671550.00828766131653502
99.89.69812384404147-0.02996744227308499.93184359823161-0.101876155958529
109.869.699242181162510.0087528545884491210.012004964249-0.160757818837485
1110.510.89853044139140.043517417880445610.05795214072810.398530441391429
1210.3310.575389756922-0.0080279481033843710.09263819118140.245389756921959
1310.1610.214778268846-0.014274897988088510.11949662914210.0547782688460252
149.919.7937580216273-0.029967442273084910.0562094206458-0.116241978372706
159.969.973729938706620.008752854588449129.937517206704940.0137299387066143
1610.0310.17555937428430.04351741788044569.840923207835290.145559374284264
179.559.29082266618663-0.008027948103384379.81720528191675-0.259177333813369
189.519.20296984724197-0.01427489798808859.83130505074612-0.307030152758033
199.89.75847374130048-0.02996744227308499.8714937009726-0.0415262586995251
2010.0810.17050718067030.008752854588449129.980739964741220.090507180670329
2110.210.26284822520640.043517417880445610.09363435691320.0628482252063822
2210.2310.3237354210183-0.0080279481033843710.14429252708510.0937354210182502
2310.210.2728895664294-0.014274897988088510.14138533155870.0728895664293905
2410.0710.0653358653334-0.029967442273084910.1046315769397-0.0046641346665961
2510.019.956635535353020.0087528545884491210.0546116100585-0.0533644646469824
2610.0510.03088659545020.043517417880445610.0255959866693-0.0191134045497794
279.929.81480484670557-0.0080279481033843710.0332231013978-0.105195153294433
2810.0310.0183557423783-0.014274897988088510.0559191556098-0.0116442576216702
2910.1810.3052277499402-0.029967442273084910.08473969233280.125227749940237
3010.110.07392748983750.0087528545884491210.117319655574-0.0260725101624715
3110.1610.14312720764160.043517417880445610.133355374478-0.0168727923584022
3210.1510.1743037078809-0.0080279481033843710.13372424022240.0243037078809465
3310.1310.1403279667662-0.014274897988088510.13394693122190.0103279667661589
3410.0910.1031883291356-0.029967442273084910.10677911313740.0131883291356356
3510.1810.31720784786550.0087528545884491210.03403929754610.137207847865467
3610.0610.13601513509840.04351741788044569.940467447021130.0760151350984213
379.659.47949924945813-0.008027948103384379.82852869864525-0.170500750541866
389.749.7976762342324-0.01427489798808859.69659866375570.057676234232396
399.539.52455892317192-0.02996744227308499.56540851910117-0.00544107682808281
409.59.53249915488070.008752854588449129.458747990530850.0324991548807034
4198.55725618659840.04351741788044569.39922639552115-0.442743813401599
429.158.92553359212247-0.008027948103384379.38249435598092-0.22446640787753
439.329.27339985347659-0.01427489798808859.3808750445115-0.0466001465234136
449.629.8573603092895-0.02996744227308499.412607132983580.237360309289501
459.599.736129096070430.008752854588449129.435118049341120.146129096070434
469.379.262071170971630.04351741788044569.43441141114792-0.107928829028367
479.359.29097078088526-0.008027948103384379.41705716721813-0.059029219114743
489.329.23412610037684-0.01427489798808859.42014879761125-0.0858738996231612
499.499.56372219513465-0.02996744227308499.446245247138440.073722195134648
509.529.571209848604020.008752854588449129.460037296807530.0512098486040209
519.599.68008004804390.04351741788044569.456402534075650.090080048043907
529.359.23282865400946-0.008027948103384379.47519929409392-0.117171345990537
539.28.89766234841946-0.01427489798808859.51661254956863-0.302337651580542
549.579.60802292466568-0.02996744227308499.56194451760740.0380229246656771
559.789.939407578178940.008752854588449129.61183956723260.159407578178941
569.799.890412803198460.04351741788044569.64606977892110.100412803198459
579.579.51300789406747-0.008027948103384379.63502005403592-0.0569921059325349
589.539.49793509157488-0.01427489798808859.5763398064132-0.0320649084251219
599.659.8249322490935-0.02996744227308499.50503519317960.174932249093494
609.369.26343773999020.008752854588449129.44780940542134-0.0965622600097902
619.49.366026525912070.04351741788044569.39045605620748-0.0339734740879294
629.329.31174708997458-0.008027948103384379.3362808581288-0.0082529100254174
639.319.32030845789514-0.01427489798808859.313966440092950.0103084578951407
649.199.1088840570899-0.02996744227308499.30108338518318-0.081115942910099
659.399.47942234384020.008752854588449129.291824801571340.0894223438402069
669.289.222882558814460.04351741788044569.29360002330509-0.0571174411855377
679.289.26909099810993-0.008027948103384379.29893694999345-0.0109090018900702
689.319.33485710836248-0.01427489798808859.299417789625610.0248571083624753
699.289.29023308977705-0.02996744227308499.299734352496030.0102330897770528
709.319.328556149610080.008752854588449129.282690995801470.0185561496100828
719.359.4177089594740.04351741788044569.238773622645560.067708959473995
729.199.22307993563212-0.008027948103384379.164948012471260.0330799356321236
739.079.10557659692115-0.01427489798808859.048698301066930.0355765969211532
748.969.04331310100088-0.02996744227308498.90665434127220.0833131010008774
758.698.59941064597920.008752854588449128.77183649943236-0.0905893540208087
768.588.464110930720480.04351741788044568.65237165139907-0.115889069279518
778.568.55281068684725-0.008027948103384378.57521726125614-0.00718931315275384
788.478.37752726625978-0.01427489798808858.5767476317283-0.0924727337402178
798.468.2962179352997-0.02996744227308498.65374950697338-0.163782064700293
808.758.690293540221470.008752854588449128.80095360519008-0.0597064597785284
818.958.855380363419120.04351741788044569.00110221870044-0.094619636580882
829.339.44177022341295-0.008027948103384379.226257724690440.111770223412949
839.519.58648021977288-0.01427489798808859.447794678215210.0764802197728756
849.5619.51799835873457-0.02996744227308499.63396908353851-0.0430016412654251
859.9410.14552255564490.008752854588449129.725724589766630.205522555644919
869.910.0176753736640.04351741788044569.738807208455580.117675373663976
879.2758.8003628066151-0.008027948103384379.75766514148828-0.474637193384899
889.569.3828205046607-0.01427489798808859.75145439332739-0.177179495339299
899.7799.84053139301862-0.02996744227308499.747436049254460.0615313930186225
909.7469.664148734416840.008752854588449129.8190984109947-0.0818512655831594
919.99110.00765720711370.04351741788044569.930825375005840.0166572071137132
929.989.92649553616994-0.0080279481033843710.0415324119334-0.0535044638300644
9310.19510.2813164581017-0.014274897988088510.12295843988640.086316458101658
9410.3110.505110939157-0.029967442273084910.14485650311610.195110939157031
9510.2510.36085301910070.0087528545884491210.13039412631090.110853019100666
969.8719.629506130233640.043517417880445610.0689764518859-0.241493869766364
9710.0610.1729407519689-0.008027948103384379.955087196134480.112940751968905
989.8949.95240107389168-0.01427489798808859.84987382409640.0584010738916803
999.599.42971835645403-0.02996744227308499.78024908581906-0.160281643545972
1009.649.573488554081450.008752854588449129.6977585913301-0.0665114459185538
1019.8910.13063171314790.04351741788044569.605850868971660.240631713147899
1029.539.53911267754314-0.008027948103384379.528915270560240.00911267754313982
1039.3889.31904239155415-0.01427489798808859.47123250643393-0.0689576084458459
1049.168.90473809361271-0.02996744227308499.44522934866037-0.255261906387286
1059.4189.338273731195460.008752854588449129.4889734142161-0.0797262688045421
1069.579.514675488805830.04351741788044569.58180709331372-0.0553245111941703
1079.85710.0376432608839-0.008027948103384379.684384687219480.180643260883899
1089.87710.0148334699379-0.01427489798808859.753441428050220.137833469937865
1099.769.78215593359524-0.02996744227308499.767811508677850.0221559335952364
1109.769.80491375805170.008752854588449129.706333387359860.0449137580516883
1119.6959.753607277016570.04351741788044569.592875305102990.0586072770165664
1129.4759.5253076931426-0.008027948103384379.43272025496080.0503076931425905
1139.2629.34551698920411-0.01427489798808859.192757908783980.0835169892041083
1149.0979.34105994676313-0.02996744227308498.882907495509960.244059946763128
1158.558.574922634486820.008752854588449128.516324510924730.0249226344868241
1168.168.166435783029330.04351741788044568.110046799090230.00643578302932823
1177.5327.33324323562057-0.008027948103384377.73878471248282-0.198756764379433
1187.3257.18677824365344-0.01427489798808857.47749665433465-0.138221756346561
1196.7496.22669822933846-0.02996744227308497.30126921293463-0.52230177066154
1207.137.014949190309530.008752854588449127.23629795510202-0.115050809690473
1216.9956.68991864446790.04351741788044567.25656393765165-0.305081355532098
1227.3467.32977674345763-0.008027948103384377.37025120464576-0.0162232565423714
1237.738.00619101655414-0.01427489798808857.468083881433950.276191016554138
1247.8378.19099468619747-0.02996744227308497.512972756075610.35399468619747
1257.5147.576495616295240.008752854588449127.442751529116310.062495616295239
1267.587.846284703364550.04351741788044567.2701978787550.266284703364555
1276.836.60964024642938-0.008027948103384377.05838770167401-0.220359753570623
1286.6176.36823326394578-0.01427489798808856.88004163404231-0.248766736054222
1296.7156.68973573795773-0.02996744227308496.77023170431535-0.0252642620422661
1306.636.468996771949260.008752854588449126.78225037346229-0.161003228050737
1316.8916.865790846236210.04351741788044566.87269173588335-0.0252091537637904
1327.0027.00753849530858-0.008027948103384377.00448945279480.00553849530857864
1337.097.02761841746372-0.01427489798808857.16665648052437-0.0623815825362826
1347.367.40852538902657-0.02996744227308497.341442053246520.0485253890265653
1357.4777.454671571206180.008752854588449127.49057557420537-0.0223284287938172
1367.8268.028996004396470.04351741788044567.579486577723080.202996004396472
1377.797.99582420582212-0.008027948103384377.592203742281270.205824205822116
1387.5787.61386484601585-0.01427489798808857.556410051972240.0358648460158522
1397.2046.90102390748252-0.02996744227308497.53694353479056-0.30297609251748
1407.1986.862784243547150.008752854588449127.5244629018644-0.335215756452852
1417.6857.821864547558930.04351741788044567.504618034560620.136864547558932
1427.7958.08871348363005-0.008027948103384377.509314464473330.29371348363005
1437.467.43688385135506-0.01427489798808857.49739104663303-0.0231161486449425
1447.2747.09505966557971-0.02996744227308497.48290777669338-0.178940334420295
1457.337.145969545340660.008752854588449127.50527760007089-0.184030454659339
1467.6557.702823606093250.04351741788044567.563658976026310.047823606093246
1477.7677.93733831648674-0.008027948103384377.604689631616640.170338316486744
1487.848.0824555929824-0.01427489798808857.61181930500570.242455592982393
1497.4247.32982406499909-0.02996744227308497.548143377274-0.0941759350009148
1507.547.68001650194450.008752854588449127.391230643467050.140016501944499
1517.3517.459587995339880.04351741788044567.198894586779670.108587995339883
1526.7356.46222199709107-0.008027948103384377.01580595101231-0.272778002908929
1536.7776.69600363790222-0.01427489798808856.87227126008587-0.0809963620977792
1546.6796.55762196208903-0.02996744227308496.83034548018405-0.121378037910969
1557.347.847029711742140.008752854588449126.82421743366940.507029711742143
1566.9787.103618018361880.04351741788044566.808864563757680.125618018361878
1576.927.07122490666834-0.008027948103384376.776803041435050.151224906668337
1586.6286.62434597137518-0.01427489798808856.6459289266129-0.00365402862481634
1596.3856.26825514612111-0.02996744227308496.53171229615198-0.116744853878893
1605.9845.485994555701870.008752854588449126.47325258970968-0.498005444298133
1616.2686.047597724637630.04351741788044566.44488485748193-0.220402275362374
1626.5966.73496614983722-0.008027948103384376.465061798266170.138966149837218
1636.3956.24082753084374-0.01427489798808856.56344736714435-0.154172469156257
1646.7156.78715135993425-0.02996744227308496.672816082338840.0721513599342476
1656.8046.839607624933250.008752854588449126.75963952047830.0356076249332533
1666.9296.980302817502740.04351741788044566.834179764616810.0513028175027443
1676.8466.83746422687743-0.008027948103384376.86256372122595-0.00853577312256526
1686.9927.15739708594054-0.01427489798808856.840877812047550.165397085940538
1696.7746.80812946422114-0.02996744227308496.769837978051950.0341294642211372
1706.756.82618103984020.008752854588449126.665066105571350.0761810398401979
1716.4856.341213370109770.04351741788044566.58526921200979-0.143786629890235
1726.275.98727880127293-0.008027948103384376.56074914683045-0.282721198727065
1736.476.38329084917137-0.01427489798808856.57098404881672-0.0867091508286268
1746.786.96118460398524-0.02996744227308496.628782838287840.18118460398524
1756.716.728575991547980.008752854588449126.682671153863570.0185759915479826
1766.1415.542062823765520.04351741788044566.69641975835403-0.598937176234477
1776.726.79762879920318-0.008027948103384376.65039914890020.0776287992031852
1786.686.80742444558356-0.01427489798808856.566850452404530.127424445583559
1796.3716.30959644189697-0.02996744227308496.46237100037612-0.0614035581030352
1806.0975.793625845673160.008752854588449126.39162129973839-0.303374154326836
1816.276.147870185565530.04351741788044566.34861239655402-0.12212981443447
1826.4476.54712878618136-0.008027948103384376.354899161922020.100128786181363
1836.376.34877111295634-0.01427489798808856.40550378503174-0.0212288870436561
1846.4466.49294771087504-0.02996744227308496.429019731398050.0469477108750382
1856.546.6413564360770.008752854588449126.429890709334550.101356436076999
1866.3746.256560255326640.04351741788044566.44792232679292-0.117439744673362
1876.336.20509589747421-0.008027948103384376.46293205062917-0.124904102525789
1886.636.81621779612424-0.01427489798808856.458057101863850.186217796124238
1896.4986.57639475478321-0.02996744227308496.449572687489870.0783947547832113
1906.4856.519254655321130.008752854588449126.441992490090420.0342546553211323
1916.366.245610951444260.04351741788044566.4308716306753-0.114389048555741



Parameters (Session):
par1 = 5 ; par2 = periodic ; par3 = 0 ; par5 = 1 ; par7 = 1 ; par8 = TRUE ;
Parameters (R input):
par1 = 5 ; par2 = periodic ; par3 = 0 ; par4 = ; par5 = 1 ; par6 = ; par7 = 1 ; par8 = TRUE ;
R code (references can be found in the software module):
par1 <- as.numeric(par1) #seasonal period
if (par2 != 'periodic') par2 <- as.numeric(par2) #s.window
par3 <- as.numeric(par3) #s.degree
if (par4 == '') par4 <- NULL else par4 <- as.numeric(par4)#t.window
par5 <- as.numeric(par5)#t.degree
if (par6 != '') par6 <- as.numeric(par6)#l.window
par7 <- as.numeric(par7)#l.degree
if (par8 == 'FALSE') par8 <- FALSE else par9 <- TRUE #robust
nx <- length(x)
x <- ts(x,frequency=par1)
if (par6 != '') {
m <- stl(x,s.window=par2, s.degree=par3, t.window=par4, t.degre=par5, l.window=par6, l.degree=par7, robust=par8)
} else {
m <- stl(x,s.window=par2, s.degree=par3, t.window=par4, t.degre=par5, l.degree=par7, robust=par8)
}
m$time.series
m$win
m$deg
m$jump
m$inner
m$outer
bitmap(file='test1.png')
plot(m,main=main)
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(as.numeric(m$time.series[,'trend']),na.action=na.pass,lag.max = mylagmax,main='Trend')
acf(as.numeric(m$time.series[,'seasonal']),na.action=na.pass,lag.max = mylagmax,main='Seasonal')
acf(as.numeric(m$time.series[,'remainder']),na.action=na.pass,lag.max = mylagmax,main='Remainder')
par(op)
dev.off()
bitmap(file='test3.png')
op <- par(mfrow = c(2,2))
spectrum(as.numeric(x),main='Observed')
spectrum(as.numeric(m$time.series[!is.na(m$time.series[,'trend']),'trend']),main='Trend')
spectrum(as.numeric(m$time.series[!is.na(m$time.series[,'seasonal']),'seasonal']),main='Seasonal')
spectrum(as.numeric(m$time.series[!is.na(m$time.series[,'remainder']),'remainder']),main='Remainder')
par(op)
dev.off()
bitmap(file='test4.png')
op <- par(mfrow = c(2,2))
cpgram(as.numeric(x),main='Observed')
cpgram(as.numeric(m$time.series[!is.na(m$time.series[,'trend']),'trend']),main='Trend')
cpgram(as.numeric(m$time.series[!is.na(m$time.series[,'seasonal']),'seasonal']),main='Seasonal')
cpgram(as.numeric(m$time.series[!is.na(m$time.series[,'remainder']),'remainder']),main='Remainder')
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Seasonal Decomposition by Loess - Parameters',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Component',header=TRUE)
a<-table.element(a,'Window',header=TRUE)
a<-table.element(a,'Degree',header=TRUE)
a<-table.element(a,'Jump',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,m$win['s'])
a<-table.element(a,m$deg['s'])
a<-table.element(a,m$jump['s'])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Trend',header=TRUE)
a<-table.element(a,m$win['t'])
a<-table.element(a,m$deg['t'])
a<-table.element(a,m$jump['t'])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Low-pass',header=TRUE)
a<-table.element(a,m$win['l'])
a<-table.element(a,m$deg['l'])
a<-table.element(a,m$jump['l'])
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,'Seasonal Decomposition by Loess - Time Series Components',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,'Fitted',header=TRUE)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,'Trend',header=TRUE)
a<-table.element(a,'Remainder',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,x[i]+m$time.series[i,'remainder'])
a<-table.element(a,m$time.series[i,'seasonal'])
a<-table.element(a,m$time.series[i,'trend'])
a<-table.element(a,m$time.series[i,'remainder'])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')