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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 computationTue, 21 Dec 2010 11:55:29 +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/21/t1292932569hwl0ofupag9tfx9.htm/, Retrieved Sat, 04 May 2024 09:19:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=113327, Retrieved Sat, 04 May 2024 09:19:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact126
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Chi-Squared and McNemar Tests] [] [2010-11-25 11:32:31] [1c63f3c303537b65dfa698074d619a3e]
- RMPD  [Multiple Regression] [] [2010-12-20 17:00:25] [1c63f3c303537b65dfa698074d619a3e]
- RMPD      [Decomposition by Loess] [] [2010-12-21 11:55:29] [40b262140b988d7b8204c4955f8b7651] [Current]
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Dataseries X:
9,4
9,4
9,5
9,5
9,4
9,4
9,3
9,4
9,4
9,2
9,1
9,1
9,1
9,0
9,0
8,9
8,8
8,7
8,5
8,3
8,1
7,9
7,8
7,6
7,4
7,2
7,0
7,0
6,8
6,8
6,7
6,8
6,7
6,7
6,7
6,5
6,3
6,3
6,3
6,5
6,6
6,5
6,3
6,3
6,5
7,0
7,1
7,3
7,3
7,4
7,4
7,3
7,4
7,5
7,7
7,7
7,7
7,7
7,7
7,8
8,0
8,1
8,1
8,2
8,2
8,2
8,1
8,1
8,2
8,3
8,3
8,4
8,5
8,5
8,4
8,0
7,9
8,1
8,5
8,8
8,8
8,6
8,3
8,3
8,3
8,4
8,4
8,5
8,6
8,6
8,6
8,6
8,6
8,5
8,4
8,4
8,4
8,5
8,5
8,6
8,6
8,4
8,2
8,0
8,0
8,0
8,0
7,9
7,9
7,8
7,8
8,0
7,8
7,4
7,2
7,0
7,0
7,2
7,2
7,2
7,0
6,9
6,8
6,8
6,8
6,9
7,2
7,2
7,2
7,1
7,2
7,3
7,5
7,6
7,7
7,7
7,7
7,8
8,0
8,1
8,1
8,0
8,1
8,2
8,3
8,4
8,4
8,4
8,5
8,5
8,6
8,6
8,5
8,5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 4 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113327&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=113327&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113327&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 time4 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk







Seasonal Decomposition by Loess - Parameters
ComponentWindowDegreeJump
Seasonal15410155
Trend1912
Low-pass1312

\begin{tabular}{lllllllll}
\hline
Seasonal Decomposition by Loess - Parameters \tabularnewline
Component & Window & Degree & Jump \tabularnewline
Seasonal & 1541 & 0 & 155 \tabularnewline
Trend & 19 & 1 & 2 \tabularnewline
Low-pass & 13 & 1 & 2 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113327&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]1541[/C][C]0[/C][C]155[/C][/ROW]
[ROW][C]Trend[/C][C]19[/C][C]1[/C][C]2[/C][/ROW]
[ROW][C]Low-pass[/C][C]13[/C][C]1[/C][C]2[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=113327&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113327&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
Seasonal15410155
Trend1912
Low-pass1312







Seasonal Decomposition by Loess - Time Series Components
tObservedFittedSeasonalTrendRemainder
19.49.2956907160481-0.002178494527250089.50648777847915-0.104309283951904
29.49.308365648009750.01424063414549319.47739371784476-0.0916343519902547
39.59.544117561717320.007582781072308749.448299657210370.0441175617173233
49.59.560241421941540.02240618734568729.417352390712770.0602414219415408
59.49.40713449693430.006460378850532249.386405124215180.00713449693429169
69.49.45855819100064-0.01267075539589019.354112564395250.0585581910006354
79.39.27921262940789-0.001032633983221539.32182000457533-0.0207873705921084
89.49.510544341574570.001034440920800569.288421217504630.110544341574565
99.49.54956829920892-0.004590729642857289.255022430433940.149568299208921
109.29.19781785237337-0.009098193866039869.21128034149266-0.00218214762662505
119.19.05122121242022-0.01875946497161589.1675382525514-0.0487787875797778
129.19.09731050200334-0.003394167943364369.10608366594003-0.00268949799666274
139.19.1575494151986-0.002178494527250089.044629079328660.0575494151985918
1499.024615745431920.01424063414549318.961143620422580.0246157454319249
1599.114759057411180.007582781072308748.87765816151650.114759057411185
168.99.006076818884170.02240618734568728.771516993770150.106076818884167
178.88.928163795125680.006460378850532248.665375826023790.128163795125683
188.78.87583551587184-0.01267075539589018.536835239524050.175835515871842
198.58.59273798095891-0.001032633983221538.408294653024310.0927379809589137
208.38.343231607353930.001034440920800568.255733951725270.0432316073539312
218.18.10141747921663-0.004590729642857288.103173250426230.00141747921662549
227.97.87093941632534-0.009098193866039867.9381587775407-0.02906058367466
237.87.84561516031645-0.01875946497161587.773144304655170.0456151603164479
247.67.58823296414816-0.003394167943364367.6151612037952-0.0117670358518414
257.47.34500039159201-0.002178494527250087.45717810293524-0.054999608407992
267.27.062255342645830.01424063414549317.32350402320868-0.137744657354173
2776.802587275445580.007582781072308747.18982994348212-0.197412724554423
2876.892640120066460.02240618734568727.08495369258785-0.107359879933538
296.86.613462179455880.006460378850532246.98007744169359-0.186537820544118
306.86.71690216621815-0.01267075539589016.89576858917774-0.083097833781852
316.76.58957289732133-0.001032633983221536.8114597366619-0.110427102678674
326.86.85464289530590.001034440920800566.74432266377330.0546428953058973
336.76.72740513875815-0.004590729642857286.677185590884710.0274051387581498
346.76.77786867939785-0.009098193866039866.631229514468190.0778686793978478
356.76.83348602691994-0.01875946497161586.585273438051680.13348602691994
366.56.4512315119991-0.003394167943364366.55216265594427-0.0487684880009063
376.36.08312662069039-0.002178494527250086.51905187383686-0.216873379309614
386.36.090430265376260.01424063414549316.49532910047825-0.209569734623741
396.36.120810891808060.007582781072308746.47160632711963-0.179189108191938
406.56.494996150779270.02240618734568726.48259766187504-0.00500384922072961
416.66.699950624519010.006460378850532246.493588996630450.099950624519014
426.56.46008679858714-0.01267075539589016.55258395680875-0.0399132014128618
436.35.98945371699617-0.001032633983221536.61157891698705-0.310546283003828
446.35.90117659961410.001034440920800566.6977889594651-0.398823400385895
456.56.22059172769972-0.004590729642857286.78399900194314-0.279408272300281
4677.1361388631909-0.009098193866039866.872959330675140.136138863190899
477.17.25683980556447-0.01875946497161586.961919659407140.156839805564474
487.37.54588117840212-0.003394167943364367.057512989541240.24588117840212
497.37.4490721748519-0.002178494527250087.153106319675350.149072174851902
507.47.538563430588880.01424063414549317.247195935265630.138563430588878
517.47.451131668071780.007582781072308747.341285550855910.0511316680717817
527.37.168208692790950.02240618734568727.40938511986336-0.131791307209047
537.47.316054932278660.006460378850532247.47748468887081-0.0839450677213405
547.57.48282235087855-0.01267075539589017.52984840451734-0.0171776491214501
557.77.81882051381935-0.001032633983221537.582212120163870.118820513819352
567.77.75838460454130.001034440920800567.64058095453790.0583846045413035
577.77.70564094073094-0.004590729642857287.698949788911920.00564094073093724
587.77.64644819460715-0.009098193866039867.76264999925889-0.0535518053928508
597.77.59240925536576-0.01875946497161587.82635020960586-0.107590744634245
607.87.72175474377436-0.003394167943364367.881639424169-0.078245256225638
6188.0652498557951-0.002178494527250087.936928638732140.0652498557951064
628.18.203732943336960.01424063414549317.982026422517550.103732943336958
638.18.165293012624740.007582781072308748.027124206302960.0652930126247355
648.28.306879362891940.02240618734568728.070714449762370.106879362891942
658.28.279234927927680.006460378850532248.114304693221780.0792349279276827
668.28.25743305053321-0.01267075539589018.155237704862680.0574330505332092
678.18.00486191747965-0.001032633983221538.19617071650358-0.0951380825203536
688.17.973743524673950.001034440920800568.22522203440525-0.126256475326054
698.28.15031737733593-0.004590729642857288.25427335230693-0.0496826226640739
708.38.34724597262893-0.009098193866039868.261852221237110.0472459726289269
718.38.34932837480432-0.01875946497161588.26943109016730.0493283748043218
728.48.52883632823838-0.003394167943364368.274557839704990.128836328238377
738.58.72249390528457-0.002178494527250088.279684589242680.222493905284569
748.58.681829782544430.01424063414549318.303929583310080.181829782544431
758.48.464242641550220.007582781072308748.328174577377470.0642426415502229
7687.626790215701920.02240618734568728.3508035969524-0.373209784298083
777.97.420107004622150.006460378850532248.37343261652732-0.479892995377854
788.17.83329222710701-0.01267075539589018.37937852828888-0.266707772892989
798.58.61570819393279-0.001032633983221538.385324440050430.11570819393279
808.89.206006065122860.001034440920800568.392959493956340.406006065122856
818.89.2039961817806-0.004590729642857288.400594547862260.403996181780601
828.68.7853881332106-0.009098193866039868.423710060655440.185388133210594
838.38.17193389152298-0.01875946497161588.44682557344863-0.128066108477016
848.38.13927312843916-0.003394167943364368.46412103950421-0.160726871560842
858.38.12076198896747-0.002178494527250088.48141650555978-0.179238011032528
868.48.30349314715340.01424063414549318.4822662187011-0.0965068528465949
878.48.309301287085260.007582781072308748.48311593184243-0.0906987129147367
888.58.490746372034340.02240618734568728.48684744061998-0.00925362796566453
898.68.702960671751940.006460378850532248.490578949397530.102960671751942
908.68.71310662675737-0.01267075539589018.499564128638520.113106626757366
918.68.6924833261037-0.001032633983221538.508549307879520.0924833261037001
928.68.686371655107870.001034440920800568.512593903971330.0863716551078735
938.68.68795222957973-0.004590729642857288.516638500063130.0879522295797255
948.58.49448289434816-0.009098193866039868.51461529951788-0.00551710565184393
958.48.30616736599898-0.01875946497161588.51259209897264-0.0938326340010196
968.48.30655316559951-0.003394167943364368.49684100234385-0.0934468344004884
978.48.32108858881218-0.002178494527250088.48108990571507-0.0789114111878195
988.58.537734423382690.01424063414549318.448024942471820.0377344233826875
998.58.577457239699120.007582781072308748.414959979228570.0774572396991218
1008.68.804298149799880.02240618734568728.373295662854440.204298149799877
1018.68.861908274669170.006460378850532248.33163134648030.261908274669166
1028.48.52863010050707-0.01267075539589018.284040654888830.128630100507065
1038.28.16458267068587-0.001032633983221538.23644996329735-0.0354173293141269
10487.820075229709260.001034440920800568.17889032936994-0.179924770290745
10587.88326003420032-0.004590729642857288.12133069544254-0.116739965799683
10687.94883916659534-0.009098193866039868.0602590272707-0.0511608334046603
10788.01957210587276-0.01875946497161587.999187359098860.0195721058727578
1087.97.87082639229931-0.003394167943364367.93256777564405-0.0291736077006899
1097.97.936230302338-0.002178494527250087.865948192189250.0362303023380006
1107.87.7959897847590.01424063414549317.7897695810955-0.00401021524099221
1117.87.878826248925940.007582781072308747.713590970001750.0788262489259433
11288.342409112769260.02240618734568727.635184699885060.342409112769257
1137.88.03676119138110.006460378850532247.556778429768360.236761191381106
1147.47.33136813428096-0.01267075539589017.48130262111493-0.0686318657190395
1157.26.99520582152172-0.001032633983221537.4058268124615-0.204794178478276
11676.672724798204340.001034440920800567.32624076087486-0.327275201795659
11776.75793602035464-0.004590729642857287.24665470928822-0.242063979645359
1187.27.23779323198578-0.009098193866039867.171304961880260.0377932319857779
1197.27.3228042504993-0.01875946497161587.09595521447230.122804250499309
1207.27.34852080462959-0.003394167943364367.054873363313780.148520804629588
12176.988386982372-0.002178494527250087.01379151215524-0.0116130176279947
1226.96.778195596193930.01424063414549317.00756376966057-0.121804403806068
1236.86.591081191761790.007582781072308747.0013360271659-0.208918808238213
1246.86.570637160547620.02240618734568727.00695665210669-0.229362839452381
1256.86.580962344101990.006460378850532247.01257727704748-0.219037655898013
1266.96.77554978434622-0.01267075539589017.03712097104967-0.124450215653784
1277.27.33936796893135-0.001032633983221537.061664665051870.139367968931354
1287.27.281117326777080.001034440920800567.117848232302120.08111732677708
1297.27.23055893009049-0.004590729642857287.174031799552370.0305589300904874
1307.16.96335506260602-0.009098193866039867.24574313126002-0.13664493739398
1317.27.10130500200395-0.01875946497161587.31745446296767-0.0986949979960521
1327.37.2131920151143-0.003394167943364367.39020215282906-0.0868079848856924
1337.57.5392286518368-0.002178494527250087.462949842690440.0392286518368063
1347.67.647638588157580.01424063414549317.538120777696930.0476385881575778
1357.77.779125506224280.007582781072308747.613291712703410.0791255062242788
1367.77.687495232251770.02240618734568727.69009858040254-0.0125047677482319
1377.77.626634173047790.006460378850532247.76690544810168-0.073365826952208
1387.87.77481947040055-0.01267075539589017.83785128499533-0.0251805295994449
13988.09223551209423-0.001032633983221537.9087971218890.092235512094228
1408.18.225400132803420.001034440920800567.973565426275780.125400132803421
1418.18.1662569989803-0.004590729642857288.038333730662560.0662569989802932
14287.91000738176733-0.009098193866039868.09909081209871-0.0899926182326691
1438.18.05891157143676-0.01875946497161588.15984789353486-0.0410884285632402
1448.28.18872116949574-0.003394167943364368.21467299844763-0.0112788305042617
1458.38.33268039116686-0.002178494527250088.26949810336040.0326803911668545
1468.48.473612082567780.01424063414549318.312147283286730.0736120825677808
1478.48.437620755714640.007582781072308748.354796463213060.0376207557146362
1488.48.383162991647230.02240618734568728.39443082100709-0.0168370083527751
1498.58.559474442348350.006460378850532248.434065178801120.059474442348348
1508.58.5394404231252-0.01267075539589018.473230332270690.0394404231251979
1518.68.68863714824296-0.001032633983221538.512395485740260.0886371482429595
1528.68.648276900956510.001034440920800568.550688658122690.0482769009565107
1538.58.41560889913774-0.004590729642857288.58898183050511-0.0843911008622573
1548.58.38300116063706-0.009098193866039868.62609703322898-0.116998839362944

\begin{tabular}{lllllllll}
\hline
Seasonal Decomposition by Loess - Time Series Components \tabularnewline
t & Observed & Fitted & Seasonal & Trend & Remainder \tabularnewline
1 & 9.4 & 9.2956907160481 & -0.00217849452725008 & 9.50648777847915 & -0.104309283951904 \tabularnewline
2 & 9.4 & 9.30836564800975 & 0.0142406341454931 & 9.47739371784476 & -0.0916343519902547 \tabularnewline
3 & 9.5 & 9.54411756171732 & 0.00758278107230874 & 9.44829965721037 & 0.0441175617173233 \tabularnewline
4 & 9.5 & 9.56024142194154 & 0.0224061873456872 & 9.41735239071277 & 0.0602414219415408 \tabularnewline
5 & 9.4 & 9.4071344969343 & 0.00646037885053224 & 9.38640512421518 & 0.00713449693429169 \tabularnewline
6 & 9.4 & 9.45855819100064 & -0.0126707553958901 & 9.35411256439525 & 0.0585581910006354 \tabularnewline
7 & 9.3 & 9.27921262940789 & -0.00103263398322153 & 9.32182000457533 & -0.0207873705921084 \tabularnewline
8 & 9.4 & 9.51054434157457 & 0.00103444092080056 & 9.28842121750463 & 0.110544341574565 \tabularnewline
9 & 9.4 & 9.54956829920892 & -0.00459072964285728 & 9.25502243043394 & 0.149568299208921 \tabularnewline
10 & 9.2 & 9.19781785237337 & -0.00909819386603986 & 9.21128034149266 & -0.00218214762662505 \tabularnewline
11 & 9.1 & 9.05122121242022 & -0.0187594649716158 & 9.1675382525514 & -0.0487787875797778 \tabularnewline
12 & 9.1 & 9.09731050200334 & -0.00339416794336436 & 9.10608366594003 & -0.00268949799666274 \tabularnewline
13 & 9.1 & 9.1575494151986 & -0.00217849452725008 & 9.04462907932866 & 0.0575494151985918 \tabularnewline
14 & 9 & 9.02461574543192 & 0.0142406341454931 & 8.96114362042258 & 0.0246157454319249 \tabularnewline
15 & 9 & 9.11475905741118 & 0.00758278107230874 & 8.8776581615165 & 0.114759057411185 \tabularnewline
16 & 8.9 & 9.00607681888417 & 0.0224061873456872 & 8.77151699377015 & 0.106076818884167 \tabularnewline
17 & 8.8 & 8.92816379512568 & 0.00646037885053224 & 8.66537582602379 & 0.128163795125683 \tabularnewline
18 & 8.7 & 8.87583551587184 & -0.0126707553958901 & 8.53683523952405 & 0.175835515871842 \tabularnewline
19 & 8.5 & 8.59273798095891 & -0.00103263398322153 & 8.40829465302431 & 0.0927379809589137 \tabularnewline
20 & 8.3 & 8.34323160735393 & 0.00103444092080056 & 8.25573395172527 & 0.0432316073539312 \tabularnewline
21 & 8.1 & 8.10141747921663 & -0.00459072964285728 & 8.10317325042623 & 0.00141747921662549 \tabularnewline
22 & 7.9 & 7.87093941632534 & -0.00909819386603986 & 7.9381587775407 & -0.02906058367466 \tabularnewline
23 & 7.8 & 7.84561516031645 & -0.0187594649716158 & 7.77314430465517 & 0.0456151603164479 \tabularnewline
24 & 7.6 & 7.58823296414816 & -0.00339416794336436 & 7.6151612037952 & -0.0117670358518414 \tabularnewline
25 & 7.4 & 7.34500039159201 & -0.00217849452725008 & 7.45717810293524 & -0.054999608407992 \tabularnewline
26 & 7.2 & 7.06225534264583 & 0.0142406341454931 & 7.32350402320868 & -0.137744657354173 \tabularnewline
27 & 7 & 6.80258727544558 & 0.00758278107230874 & 7.18982994348212 & -0.197412724554423 \tabularnewline
28 & 7 & 6.89264012006646 & 0.0224061873456872 & 7.08495369258785 & -0.107359879933538 \tabularnewline
29 & 6.8 & 6.61346217945588 & 0.00646037885053224 & 6.98007744169359 & -0.186537820544118 \tabularnewline
30 & 6.8 & 6.71690216621815 & -0.0126707553958901 & 6.89576858917774 & -0.083097833781852 \tabularnewline
31 & 6.7 & 6.58957289732133 & -0.00103263398322153 & 6.8114597366619 & -0.110427102678674 \tabularnewline
32 & 6.8 & 6.8546428953059 & 0.00103444092080056 & 6.7443226637733 & 0.0546428953058973 \tabularnewline
33 & 6.7 & 6.72740513875815 & -0.00459072964285728 & 6.67718559088471 & 0.0274051387581498 \tabularnewline
34 & 6.7 & 6.77786867939785 & -0.00909819386603986 & 6.63122951446819 & 0.0778686793978478 \tabularnewline
35 & 6.7 & 6.83348602691994 & -0.0187594649716158 & 6.58527343805168 & 0.13348602691994 \tabularnewline
36 & 6.5 & 6.4512315119991 & -0.00339416794336436 & 6.55216265594427 & -0.0487684880009063 \tabularnewline
37 & 6.3 & 6.08312662069039 & -0.00217849452725008 & 6.51905187383686 & -0.216873379309614 \tabularnewline
38 & 6.3 & 6.09043026537626 & 0.0142406341454931 & 6.49532910047825 & -0.209569734623741 \tabularnewline
39 & 6.3 & 6.12081089180806 & 0.00758278107230874 & 6.47160632711963 & -0.179189108191938 \tabularnewline
40 & 6.5 & 6.49499615077927 & 0.0224061873456872 & 6.48259766187504 & -0.00500384922072961 \tabularnewline
41 & 6.6 & 6.69995062451901 & 0.00646037885053224 & 6.49358899663045 & 0.099950624519014 \tabularnewline
42 & 6.5 & 6.46008679858714 & -0.0126707553958901 & 6.55258395680875 & -0.0399132014128618 \tabularnewline
43 & 6.3 & 5.98945371699617 & -0.00103263398322153 & 6.61157891698705 & -0.310546283003828 \tabularnewline
44 & 6.3 & 5.9011765996141 & 0.00103444092080056 & 6.6977889594651 & -0.398823400385895 \tabularnewline
45 & 6.5 & 6.22059172769972 & -0.00459072964285728 & 6.78399900194314 & -0.279408272300281 \tabularnewline
46 & 7 & 7.1361388631909 & -0.00909819386603986 & 6.87295933067514 & 0.136138863190899 \tabularnewline
47 & 7.1 & 7.25683980556447 & -0.0187594649716158 & 6.96191965940714 & 0.156839805564474 \tabularnewline
48 & 7.3 & 7.54588117840212 & -0.00339416794336436 & 7.05751298954124 & 0.24588117840212 \tabularnewline
49 & 7.3 & 7.4490721748519 & -0.00217849452725008 & 7.15310631967535 & 0.149072174851902 \tabularnewline
50 & 7.4 & 7.53856343058888 & 0.0142406341454931 & 7.24719593526563 & 0.138563430588878 \tabularnewline
51 & 7.4 & 7.45113166807178 & 0.00758278107230874 & 7.34128555085591 & 0.0511316680717817 \tabularnewline
52 & 7.3 & 7.16820869279095 & 0.0224061873456872 & 7.40938511986336 & -0.131791307209047 \tabularnewline
53 & 7.4 & 7.31605493227866 & 0.00646037885053224 & 7.47748468887081 & -0.0839450677213405 \tabularnewline
54 & 7.5 & 7.48282235087855 & -0.0126707553958901 & 7.52984840451734 & -0.0171776491214501 \tabularnewline
55 & 7.7 & 7.81882051381935 & -0.00103263398322153 & 7.58221212016387 & 0.118820513819352 \tabularnewline
56 & 7.7 & 7.7583846045413 & 0.00103444092080056 & 7.6405809545379 & 0.0583846045413035 \tabularnewline
57 & 7.7 & 7.70564094073094 & -0.00459072964285728 & 7.69894978891192 & 0.00564094073093724 \tabularnewline
58 & 7.7 & 7.64644819460715 & -0.00909819386603986 & 7.76264999925889 & -0.0535518053928508 \tabularnewline
59 & 7.7 & 7.59240925536576 & -0.0187594649716158 & 7.82635020960586 & -0.107590744634245 \tabularnewline
60 & 7.8 & 7.72175474377436 & -0.00339416794336436 & 7.881639424169 & -0.078245256225638 \tabularnewline
61 & 8 & 8.0652498557951 & -0.00217849452725008 & 7.93692863873214 & 0.0652498557951064 \tabularnewline
62 & 8.1 & 8.20373294333696 & 0.0142406341454931 & 7.98202642251755 & 0.103732943336958 \tabularnewline
63 & 8.1 & 8.16529301262474 & 0.00758278107230874 & 8.02712420630296 & 0.0652930126247355 \tabularnewline
64 & 8.2 & 8.30687936289194 & 0.0224061873456872 & 8.07071444976237 & 0.106879362891942 \tabularnewline
65 & 8.2 & 8.27923492792768 & 0.00646037885053224 & 8.11430469322178 & 0.0792349279276827 \tabularnewline
66 & 8.2 & 8.25743305053321 & -0.0126707553958901 & 8.15523770486268 & 0.0574330505332092 \tabularnewline
67 & 8.1 & 8.00486191747965 & -0.00103263398322153 & 8.19617071650358 & -0.0951380825203536 \tabularnewline
68 & 8.1 & 7.97374352467395 & 0.00103444092080056 & 8.22522203440525 & -0.126256475326054 \tabularnewline
69 & 8.2 & 8.15031737733593 & -0.00459072964285728 & 8.25427335230693 & -0.0496826226640739 \tabularnewline
70 & 8.3 & 8.34724597262893 & -0.00909819386603986 & 8.26185222123711 & 0.0472459726289269 \tabularnewline
71 & 8.3 & 8.34932837480432 & -0.0187594649716158 & 8.2694310901673 & 0.0493283748043218 \tabularnewline
72 & 8.4 & 8.52883632823838 & -0.00339416794336436 & 8.27455783970499 & 0.128836328238377 \tabularnewline
73 & 8.5 & 8.72249390528457 & -0.00217849452725008 & 8.27968458924268 & 0.222493905284569 \tabularnewline
74 & 8.5 & 8.68182978254443 & 0.0142406341454931 & 8.30392958331008 & 0.181829782544431 \tabularnewline
75 & 8.4 & 8.46424264155022 & 0.00758278107230874 & 8.32817457737747 & 0.0642426415502229 \tabularnewline
76 & 8 & 7.62679021570192 & 0.0224061873456872 & 8.3508035969524 & -0.373209784298083 \tabularnewline
77 & 7.9 & 7.42010700462215 & 0.00646037885053224 & 8.37343261652732 & -0.479892995377854 \tabularnewline
78 & 8.1 & 7.83329222710701 & -0.0126707553958901 & 8.37937852828888 & -0.266707772892989 \tabularnewline
79 & 8.5 & 8.61570819393279 & -0.00103263398322153 & 8.38532444005043 & 0.11570819393279 \tabularnewline
80 & 8.8 & 9.20600606512286 & 0.00103444092080056 & 8.39295949395634 & 0.406006065122856 \tabularnewline
81 & 8.8 & 9.2039961817806 & -0.00459072964285728 & 8.40059454786226 & 0.403996181780601 \tabularnewline
82 & 8.6 & 8.7853881332106 & -0.00909819386603986 & 8.42371006065544 & 0.185388133210594 \tabularnewline
83 & 8.3 & 8.17193389152298 & -0.0187594649716158 & 8.44682557344863 & -0.128066108477016 \tabularnewline
84 & 8.3 & 8.13927312843916 & -0.00339416794336436 & 8.46412103950421 & -0.160726871560842 \tabularnewline
85 & 8.3 & 8.12076198896747 & -0.00217849452725008 & 8.48141650555978 & -0.179238011032528 \tabularnewline
86 & 8.4 & 8.3034931471534 & 0.0142406341454931 & 8.4822662187011 & -0.0965068528465949 \tabularnewline
87 & 8.4 & 8.30930128708526 & 0.00758278107230874 & 8.48311593184243 & -0.0906987129147367 \tabularnewline
88 & 8.5 & 8.49074637203434 & 0.0224061873456872 & 8.48684744061998 & -0.00925362796566453 \tabularnewline
89 & 8.6 & 8.70296067175194 & 0.00646037885053224 & 8.49057894939753 & 0.102960671751942 \tabularnewline
90 & 8.6 & 8.71310662675737 & -0.0126707553958901 & 8.49956412863852 & 0.113106626757366 \tabularnewline
91 & 8.6 & 8.6924833261037 & -0.00103263398322153 & 8.50854930787952 & 0.0924833261037001 \tabularnewline
92 & 8.6 & 8.68637165510787 & 0.00103444092080056 & 8.51259390397133 & 0.0863716551078735 \tabularnewline
93 & 8.6 & 8.68795222957973 & -0.00459072964285728 & 8.51663850006313 & 0.0879522295797255 \tabularnewline
94 & 8.5 & 8.49448289434816 & -0.00909819386603986 & 8.51461529951788 & -0.00551710565184393 \tabularnewline
95 & 8.4 & 8.30616736599898 & -0.0187594649716158 & 8.51259209897264 & -0.0938326340010196 \tabularnewline
96 & 8.4 & 8.30655316559951 & -0.00339416794336436 & 8.49684100234385 & -0.0934468344004884 \tabularnewline
97 & 8.4 & 8.32108858881218 & -0.00217849452725008 & 8.48108990571507 & -0.0789114111878195 \tabularnewline
98 & 8.5 & 8.53773442338269 & 0.0142406341454931 & 8.44802494247182 & 0.0377344233826875 \tabularnewline
99 & 8.5 & 8.57745723969912 & 0.00758278107230874 & 8.41495997922857 & 0.0774572396991218 \tabularnewline
100 & 8.6 & 8.80429814979988 & 0.0224061873456872 & 8.37329566285444 & 0.204298149799877 \tabularnewline
101 & 8.6 & 8.86190827466917 & 0.00646037885053224 & 8.3316313464803 & 0.261908274669166 \tabularnewline
102 & 8.4 & 8.52863010050707 & -0.0126707553958901 & 8.28404065488883 & 0.128630100507065 \tabularnewline
103 & 8.2 & 8.16458267068587 & -0.00103263398322153 & 8.23644996329735 & -0.0354173293141269 \tabularnewline
104 & 8 & 7.82007522970926 & 0.00103444092080056 & 8.17889032936994 & -0.179924770290745 \tabularnewline
105 & 8 & 7.88326003420032 & -0.00459072964285728 & 8.12133069544254 & -0.116739965799683 \tabularnewline
106 & 8 & 7.94883916659534 & -0.00909819386603986 & 8.0602590272707 & -0.0511608334046603 \tabularnewline
107 & 8 & 8.01957210587276 & -0.0187594649716158 & 7.99918735909886 & 0.0195721058727578 \tabularnewline
108 & 7.9 & 7.87082639229931 & -0.00339416794336436 & 7.93256777564405 & -0.0291736077006899 \tabularnewline
109 & 7.9 & 7.936230302338 & -0.00217849452725008 & 7.86594819218925 & 0.0362303023380006 \tabularnewline
110 & 7.8 & 7.795989784759 & 0.0142406341454931 & 7.7897695810955 & -0.00401021524099221 \tabularnewline
111 & 7.8 & 7.87882624892594 & 0.00758278107230874 & 7.71359097000175 & 0.0788262489259433 \tabularnewline
112 & 8 & 8.34240911276926 & 0.0224061873456872 & 7.63518469988506 & 0.342409112769257 \tabularnewline
113 & 7.8 & 8.0367611913811 & 0.00646037885053224 & 7.55677842976836 & 0.236761191381106 \tabularnewline
114 & 7.4 & 7.33136813428096 & -0.0126707553958901 & 7.48130262111493 & -0.0686318657190395 \tabularnewline
115 & 7.2 & 6.99520582152172 & -0.00103263398322153 & 7.4058268124615 & -0.204794178478276 \tabularnewline
116 & 7 & 6.67272479820434 & 0.00103444092080056 & 7.32624076087486 & -0.327275201795659 \tabularnewline
117 & 7 & 6.75793602035464 & -0.00459072964285728 & 7.24665470928822 & -0.242063979645359 \tabularnewline
118 & 7.2 & 7.23779323198578 & -0.00909819386603986 & 7.17130496188026 & 0.0377932319857779 \tabularnewline
119 & 7.2 & 7.3228042504993 & -0.0187594649716158 & 7.0959552144723 & 0.122804250499309 \tabularnewline
120 & 7.2 & 7.34852080462959 & -0.00339416794336436 & 7.05487336331378 & 0.148520804629588 \tabularnewline
121 & 7 & 6.988386982372 & -0.00217849452725008 & 7.01379151215524 & -0.0116130176279947 \tabularnewline
122 & 6.9 & 6.77819559619393 & 0.0142406341454931 & 7.00756376966057 & -0.121804403806068 \tabularnewline
123 & 6.8 & 6.59108119176179 & 0.00758278107230874 & 7.0013360271659 & -0.208918808238213 \tabularnewline
124 & 6.8 & 6.57063716054762 & 0.0224061873456872 & 7.00695665210669 & -0.229362839452381 \tabularnewline
125 & 6.8 & 6.58096234410199 & 0.00646037885053224 & 7.01257727704748 & -0.219037655898013 \tabularnewline
126 & 6.9 & 6.77554978434622 & -0.0126707553958901 & 7.03712097104967 & -0.124450215653784 \tabularnewline
127 & 7.2 & 7.33936796893135 & -0.00103263398322153 & 7.06166466505187 & 0.139367968931354 \tabularnewline
128 & 7.2 & 7.28111732677708 & 0.00103444092080056 & 7.11784823230212 & 0.08111732677708 \tabularnewline
129 & 7.2 & 7.23055893009049 & -0.00459072964285728 & 7.17403179955237 & 0.0305589300904874 \tabularnewline
130 & 7.1 & 6.96335506260602 & -0.00909819386603986 & 7.24574313126002 & -0.13664493739398 \tabularnewline
131 & 7.2 & 7.10130500200395 & -0.0187594649716158 & 7.31745446296767 & -0.0986949979960521 \tabularnewline
132 & 7.3 & 7.2131920151143 & -0.00339416794336436 & 7.39020215282906 & -0.0868079848856924 \tabularnewline
133 & 7.5 & 7.5392286518368 & -0.00217849452725008 & 7.46294984269044 & 0.0392286518368063 \tabularnewline
134 & 7.6 & 7.64763858815758 & 0.0142406341454931 & 7.53812077769693 & 0.0476385881575778 \tabularnewline
135 & 7.7 & 7.77912550622428 & 0.00758278107230874 & 7.61329171270341 & 0.0791255062242788 \tabularnewline
136 & 7.7 & 7.68749523225177 & 0.0224061873456872 & 7.69009858040254 & -0.0125047677482319 \tabularnewline
137 & 7.7 & 7.62663417304779 & 0.00646037885053224 & 7.76690544810168 & -0.073365826952208 \tabularnewline
138 & 7.8 & 7.77481947040055 & -0.0126707553958901 & 7.83785128499533 & -0.0251805295994449 \tabularnewline
139 & 8 & 8.09223551209423 & -0.00103263398322153 & 7.908797121889 & 0.092235512094228 \tabularnewline
140 & 8.1 & 8.22540013280342 & 0.00103444092080056 & 7.97356542627578 & 0.125400132803421 \tabularnewline
141 & 8.1 & 8.1662569989803 & -0.00459072964285728 & 8.03833373066256 & 0.0662569989802932 \tabularnewline
142 & 8 & 7.91000738176733 & -0.00909819386603986 & 8.09909081209871 & -0.0899926182326691 \tabularnewline
143 & 8.1 & 8.05891157143676 & -0.0187594649716158 & 8.15984789353486 & -0.0410884285632402 \tabularnewline
144 & 8.2 & 8.18872116949574 & -0.00339416794336436 & 8.21467299844763 & -0.0112788305042617 \tabularnewline
145 & 8.3 & 8.33268039116686 & -0.00217849452725008 & 8.2694981033604 & 0.0326803911668545 \tabularnewline
146 & 8.4 & 8.47361208256778 & 0.0142406341454931 & 8.31214728328673 & 0.0736120825677808 \tabularnewline
147 & 8.4 & 8.43762075571464 & 0.00758278107230874 & 8.35479646321306 & 0.0376207557146362 \tabularnewline
148 & 8.4 & 8.38316299164723 & 0.0224061873456872 & 8.39443082100709 & -0.0168370083527751 \tabularnewline
149 & 8.5 & 8.55947444234835 & 0.00646037885053224 & 8.43406517880112 & 0.059474442348348 \tabularnewline
150 & 8.5 & 8.5394404231252 & -0.0126707553958901 & 8.47323033227069 & 0.0394404231251979 \tabularnewline
151 & 8.6 & 8.68863714824296 & -0.00103263398322153 & 8.51239548574026 & 0.0886371482429595 \tabularnewline
152 & 8.6 & 8.64827690095651 & 0.00103444092080056 & 8.55068865812269 & 0.0482769009565107 \tabularnewline
153 & 8.5 & 8.41560889913774 & -0.00459072964285728 & 8.58898183050511 & -0.0843911008622573 \tabularnewline
154 & 8.5 & 8.38300116063706 & -0.00909819386603986 & 8.62609703322898 & -0.116998839362944 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113327&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]9.4[/C][C]9.2956907160481[/C][C]-0.00217849452725008[/C][C]9.50648777847915[/C][C]-0.104309283951904[/C][/ROW]
[ROW][C]2[/C][C]9.4[/C][C]9.30836564800975[/C][C]0.0142406341454931[/C][C]9.47739371784476[/C][C]-0.0916343519902547[/C][/ROW]
[ROW][C]3[/C][C]9.5[/C][C]9.54411756171732[/C][C]0.00758278107230874[/C][C]9.44829965721037[/C][C]0.0441175617173233[/C][/ROW]
[ROW][C]4[/C][C]9.5[/C][C]9.56024142194154[/C][C]0.0224061873456872[/C][C]9.41735239071277[/C][C]0.0602414219415408[/C][/ROW]
[ROW][C]5[/C][C]9.4[/C][C]9.4071344969343[/C][C]0.00646037885053224[/C][C]9.38640512421518[/C][C]0.00713449693429169[/C][/ROW]
[ROW][C]6[/C][C]9.4[/C][C]9.45855819100064[/C][C]-0.0126707553958901[/C][C]9.35411256439525[/C][C]0.0585581910006354[/C][/ROW]
[ROW][C]7[/C][C]9.3[/C][C]9.27921262940789[/C][C]-0.00103263398322153[/C][C]9.32182000457533[/C][C]-0.0207873705921084[/C][/ROW]
[ROW][C]8[/C][C]9.4[/C][C]9.51054434157457[/C][C]0.00103444092080056[/C][C]9.28842121750463[/C][C]0.110544341574565[/C][/ROW]
[ROW][C]9[/C][C]9.4[/C][C]9.54956829920892[/C][C]-0.00459072964285728[/C][C]9.25502243043394[/C][C]0.149568299208921[/C][/ROW]
[ROW][C]10[/C][C]9.2[/C][C]9.19781785237337[/C][C]-0.00909819386603986[/C][C]9.21128034149266[/C][C]-0.00218214762662505[/C][/ROW]
[ROW][C]11[/C][C]9.1[/C][C]9.05122121242022[/C][C]-0.0187594649716158[/C][C]9.1675382525514[/C][C]-0.0487787875797778[/C][/ROW]
[ROW][C]12[/C][C]9.1[/C][C]9.09731050200334[/C][C]-0.00339416794336436[/C][C]9.10608366594003[/C][C]-0.00268949799666274[/C][/ROW]
[ROW][C]13[/C][C]9.1[/C][C]9.1575494151986[/C][C]-0.00217849452725008[/C][C]9.04462907932866[/C][C]0.0575494151985918[/C][/ROW]
[ROW][C]14[/C][C]9[/C][C]9.02461574543192[/C][C]0.0142406341454931[/C][C]8.96114362042258[/C][C]0.0246157454319249[/C][/ROW]
[ROW][C]15[/C][C]9[/C][C]9.11475905741118[/C][C]0.00758278107230874[/C][C]8.8776581615165[/C][C]0.114759057411185[/C][/ROW]
[ROW][C]16[/C][C]8.9[/C][C]9.00607681888417[/C][C]0.0224061873456872[/C][C]8.77151699377015[/C][C]0.106076818884167[/C][/ROW]
[ROW][C]17[/C][C]8.8[/C][C]8.92816379512568[/C][C]0.00646037885053224[/C][C]8.66537582602379[/C][C]0.128163795125683[/C][/ROW]
[ROW][C]18[/C][C]8.7[/C][C]8.87583551587184[/C][C]-0.0126707553958901[/C][C]8.53683523952405[/C][C]0.175835515871842[/C][/ROW]
[ROW][C]19[/C][C]8.5[/C][C]8.59273798095891[/C][C]-0.00103263398322153[/C][C]8.40829465302431[/C][C]0.0927379809589137[/C][/ROW]
[ROW][C]20[/C][C]8.3[/C][C]8.34323160735393[/C][C]0.00103444092080056[/C][C]8.25573395172527[/C][C]0.0432316073539312[/C][/ROW]
[ROW][C]21[/C][C]8.1[/C][C]8.10141747921663[/C][C]-0.00459072964285728[/C][C]8.10317325042623[/C][C]0.00141747921662549[/C][/ROW]
[ROW][C]22[/C][C]7.9[/C][C]7.87093941632534[/C][C]-0.00909819386603986[/C][C]7.9381587775407[/C][C]-0.02906058367466[/C][/ROW]
[ROW][C]23[/C][C]7.8[/C][C]7.84561516031645[/C][C]-0.0187594649716158[/C][C]7.77314430465517[/C][C]0.0456151603164479[/C][/ROW]
[ROW][C]24[/C][C]7.6[/C][C]7.58823296414816[/C][C]-0.00339416794336436[/C][C]7.6151612037952[/C][C]-0.0117670358518414[/C][/ROW]
[ROW][C]25[/C][C]7.4[/C][C]7.34500039159201[/C][C]-0.00217849452725008[/C][C]7.45717810293524[/C][C]-0.054999608407992[/C][/ROW]
[ROW][C]26[/C][C]7.2[/C][C]7.06225534264583[/C][C]0.0142406341454931[/C][C]7.32350402320868[/C][C]-0.137744657354173[/C][/ROW]
[ROW][C]27[/C][C]7[/C][C]6.80258727544558[/C][C]0.00758278107230874[/C][C]7.18982994348212[/C][C]-0.197412724554423[/C][/ROW]
[ROW][C]28[/C][C]7[/C][C]6.89264012006646[/C][C]0.0224061873456872[/C][C]7.08495369258785[/C][C]-0.107359879933538[/C][/ROW]
[ROW][C]29[/C][C]6.8[/C][C]6.61346217945588[/C][C]0.00646037885053224[/C][C]6.98007744169359[/C][C]-0.186537820544118[/C][/ROW]
[ROW][C]30[/C][C]6.8[/C][C]6.71690216621815[/C][C]-0.0126707553958901[/C][C]6.89576858917774[/C][C]-0.083097833781852[/C][/ROW]
[ROW][C]31[/C][C]6.7[/C][C]6.58957289732133[/C][C]-0.00103263398322153[/C][C]6.8114597366619[/C][C]-0.110427102678674[/C][/ROW]
[ROW][C]32[/C][C]6.8[/C][C]6.8546428953059[/C][C]0.00103444092080056[/C][C]6.7443226637733[/C][C]0.0546428953058973[/C][/ROW]
[ROW][C]33[/C][C]6.7[/C][C]6.72740513875815[/C][C]-0.00459072964285728[/C][C]6.67718559088471[/C][C]0.0274051387581498[/C][/ROW]
[ROW][C]34[/C][C]6.7[/C][C]6.77786867939785[/C][C]-0.00909819386603986[/C][C]6.63122951446819[/C][C]0.0778686793978478[/C][/ROW]
[ROW][C]35[/C][C]6.7[/C][C]6.83348602691994[/C][C]-0.0187594649716158[/C][C]6.58527343805168[/C][C]0.13348602691994[/C][/ROW]
[ROW][C]36[/C][C]6.5[/C][C]6.4512315119991[/C][C]-0.00339416794336436[/C][C]6.55216265594427[/C][C]-0.0487684880009063[/C][/ROW]
[ROW][C]37[/C][C]6.3[/C][C]6.08312662069039[/C][C]-0.00217849452725008[/C][C]6.51905187383686[/C][C]-0.216873379309614[/C][/ROW]
[ROW][C]38[/C][C]6.3[/C][C]6.09043026537626[/C][C]0.0142406341454931[/C][C]6.49532910047825[/C][C]-0.209569734623741[/C][/ROW]
[ROW][C]39[/C][C]6.3[/C][C]6.12081089180806[/C][C]0.00758278107230874[/C][C]6.47160632711963[/C][C]-0.179189108191938[/C][/ROW]
[ROW][C]40[/C][C]6.5[/C][C]6.49499615077927[/C][C]0.0224061873456872[/C][C]6.48259766187504[/C][C]-0.00500384922072961[/C][/ROW]
[ROW][C]41[/C][C]6.6[/C][C]6.69995062451901[/C][C]0.00646037885053224[/C][C]6.49358899663045[/C][C]0.099950624519014[/C][/ROW]
[ROW][C]42[/C][C]6.5[/C][C]6.46008679858714[/C][C]-0.0126707553958901[/C][C]6.55258395680875[/C][C]-0.0399132014128618[/C][/ROW]
[ROW][C]43[/C][C]6.3[/C][C]5.98945371699617[/C][C]-0.00103263398322153[/C][C]6.61157891698705[/C][C]-0.310546283003828[/C][/ROW]
[ROW][C]44[/C][C]6.3[/C][C]5.9011765996141[/C][C]0.00103444092080056[/C][C]6.6977889594651[/C][C]-0.398823400385895[/C][/ROW]
[ROW][C]45[/C][C]6.5[/C][C]6.22059172769972[/C][C]-0.00459072964285728[/C][C]6.78399900194314[/C][C]-0.279408272300281[/C][/ROW]
[ROW][C]46[/C][C]7[/C][C]7.1361388631909[/C][C]-0.00909819386603986[/C][C]6.87295933067514[/C][C]0.136138863190899[/C][/ROW]
[ROW][C]47[/C][C]7.1[/C][C]7.25683980556447[/C][C]-0.0187594649716158[/C][C]6.96191965940714[/C][C]0.156839805564474[/C][/ROW]
[ROW][C]48[/C][C]7.3[/C][C]7.54588117840212[/C][C]-0.00339416794336436[/C][C]7.05751298954124[/C][C]0.24588117840212[/C][/ROW]
[ROW][C]49[/C][C]7.3[/C][C]7.4490721748519[/C][C]-0.00217849452725008[/C][C]7.15310631967535[/C][C]0.149072174851902[/C][/ROW]
[ROW][C]50[/C][C]7.4[/C][C]7.53856343058888[/C][C]0.0142406341454931[/C][C]7.24719593526563[/C][C]0.138563430588878[/C][/ROW]
[ROW][C]51[/C][C]7.4[/C][C]7.45113166807178[/C][C]0.00758278107230874[/C][C]7.34128555085591[/C][C]0.0511316680717817[/C][/ROW]
[ROW][C]52[/C][C]7.3[/C][C]7.16820869279095[/C][C]0.0224061873456872[/C][C]7.40938511986336[/C][C]-0.131791307209047[/C][/ROW]
[ROW][C]53[/C][C]7.4[/C][C]7.31605493227866[/C][C]0.00646037885053224[/C][C]7.47748468887081[/C][C]-0.0839450677213405[/C][/ROW]
[ROW][C]54[/C][C]7.5[/C][C]7.48282235087855[/C][C]-0.0126707553958901[/C][C]7.52984840451734[/C][C]-0.0171776491214501[/C][/ROW]
[ROW][C]55[/C][C]7.7[/C][C]7.81882051381935[/C][C]-0.00103263398322153[/C][C]7.58221212016387[/C][C]0.118820513819352[/C][/ROW]
[ROW][C]56[/C][C]7.7[/C][C]7.7583846045413[/C][C]0.00103444092080056[/C][C]7.6405809545379[/C][C]0.0583846045413035[/C][/ROW]
[ROW][C]57[/C][C]7.7[/C][C]7.70564094073094[/C][C]-0.00459072964285728[/C][C]7.69894978891192[/C][C]0.00564094073093724[/C][/ROW]
[ROW][C]58[/C][C]7.7[/C][C]7.64644819460715[/C][C]-0.00909819386603986[/C][C]7.76264999925889[/C][C]-0.0535518053928508[/C][/ROW]
[ROW][C]59[/C][C]7.7[/C][C]7.59240925536576[/C][C]-0.0187594649716158[/C][C]7.82635020960586[/C][C]-0.107590744634245[/C][/ROW]
[ROW][C]60[/C][C]7.8[/C][C]7.72175474377436[/C][C]-0.00339416794336436[/C][C]7.881639424169[/C][C]-0.078245256225638[/C][/ROW]
[ROW][C]61[/C][C]8[/C][C]8.0652498557951[/C][C]-0.00217849452725008[/C][C]7.93692863873214[/C][C]0.0652498557951064[/C][/ROW]
[ROW][C]62[/C][C]8.1[/C][C]8.20373294333696[/C][C]0.0142406341454931[/C][C]7.98202642251755[/C][C]0.103732943336958[/C][/ROW]
[ROW][C]63[/C][C]8.1[/C][C]8.16529301262474[/C][C]0.00758278107230874[/C][C]8.02712420630296[/C][C]0.0652930126247355[/C][/ROW]
[ROW][C]64[/C][C]8.2[/C][C]8.30687936289194[/C][C]0.0224061873456872[/C][C]8.07071444976237[/C][C]0.106879362891942[/C][/ROW]
[ROW][C]65[/C][C]8.2[/C][C]8.27923492792768[/C][C]0.00646037885053224[/C][C]8.11430469322178[/C][C]0.0792349279276827[/C][/ROW]
[ROW][C]66[/C][C]8.2[/C][C]8.25743305053321[/C][C]-0.0126707553958901[/C][C]8.15523770486268[/C][C]0.0574330505332092[/C][/ROW]
[ROW][C]67[/C][C]8.1[/C][C]8.00486191747965[/C][C]-0.00103263398322153[/C][C]8.19617071650358[/C][C]-0.0951380825203536[/C][/ROW]
[ROW][C]68[/C][C]8.1[/C][C]7.97374352467395[/C][C]0.00103444092080056[/C][C]8.22522203440525[/C][C]-0.126256475326054[/C][/ROW]
[ROW][C]69[/C][C]8.2[/C][C]8.15031737733593[/C][C]-0.00459072964285728[/C][C]8.25427335230693[/C][C]-0.0496826226640739[/C][/ROW]
[ROW][C]70[/C][C]8.3[/C][C]8.34724597262893[/C][C]-0.00909819386603986[/C][C]8.26185222123711[/C][C]0.0472459726289269[/C][/ROW]
[ROW][C]71[/C][C]8.3[/C][C]8.34932837480432[/C][C]-0.0187594649716158[/C][C]8.2694310901673[/C][C]0.0493283748043218[/C][/ROW]
[ROW][C]72[/C][C]8.4[/C][C]8.52883632823838[/C][C]-0.00339416794336436[/C][C]8.27455783970499[/C][C]0.128836328238377[/C][/ROW]
[ROW][C]73[/C][C]8.5[/C][C]8.72249390528457[/C][C]-0.00217849452725008[/C][C]8.27968458924268[/C][C]0.222493905284569[/C][/ROW]
[ROW][C]74[/C][C]8.5[/C][C]8.68182978254443[/C][C]0.0142406341454931[/C][C]8.30392958331008[/C][C]0.181829782544431[/C][/ROW]
[ROW][C]75[/C][C]8.4[/C][C]8.46424264155022[/C][C]0.00758278107230874[/C][C]8.32817457737747[/C][C]0.0642426415502229[/C][/ROW]
[ROW][C]76[/C][C]8[/C][C]7.62679021570192[/C][C]0.0224061873456872[/C][C]8.3508035969524[/C][C]-0.373209784298083[/C][/ROW]
[ROW][C]77[/C][C]7.9[/C][C]7.42010700462215[/C][C]0.00646037885053224[/C][C]8.37343261652732[/C][C]-0.479892995377854[/C][/ROW]
[ROW][C]78[/C][C]8.1[/C][C]7.83329222710701[/C][C]-0.0126707553958901[/C][C]8.37937852828888[/C][C]-0.266707772892989[/C][/ROW]
[ROW][C]79[/C][C]8.5[/C][C]8.61570819393279[/C][C]-0.00103263398322153[/C][C]8.38532444005043[/C][C]0.11570819393279[/C][/ROW]
[ROW][C]80[/C][C]8.8[/C][C]9.20600606512286[/C][C]0.00103444092080056[/C][C]8.39295949395634[/C][C]0.406006065122856[/C][/ROW]
[ROW][C]81[/C][C]8.8[/C][C]9.2039961817806[/C][C]-0.00459072964285728[/C][C]8.40059454786226[/C][C]0.403996181780601[/C][/ROW]
[ROW][C]82[/C][C]8.6[/C][C]8.7853881332106[/C][C]-0.00909819386603986[/C][C]8.42371006065544[/C][C]0.185388133210594[/C][/ROW]
[ROW][C]83[/C][C]8.3[/C][C]8.17193389152298[/C][C]-0.0187594649716158[/C][C]8.44682557344863[/C][C]-0.128066108477016[/C][/ROW]
[ROW][C]84[/C][C]8.3[/C][C]8.13927312843916[/C][C]-0.00339416794336436[/C][C]8.46412103950421[/C][C]-0.160726871560842[/C][/ROW]
[ROW][C]85[/C][C]8.3[/C][C]8.12076198896747[/C][C]-0.00217849452725008[/C][C]8.48141650555978[/C][C]-0.179238011032528[/C][/ROW]
[ROW][C]86[/C][C]8.4[/C][C]8.3034931471534[/C][C]0.0142406341454931[/C][C]8.4822662187011[/C][C]-0.0965068528465949[/C][/ROW]
[ROW][C]87[/C][C]8.4[/C][C]8.30930128708526[/C][C]0.00758278107230874[/C][C]8.48311593184243[/C][C]-0.0906987129147367[/C][/ROW]
[ROW][C]88[/C][C]8.5[/C][C]8.49074637203434[/C][C]0.0224061873456872[/C][C]8.48684744061998[/C][C]-0.00925362796566453[/C][/ROW]
[ROW][C]89[/C][C]8.6[/C][C]8.70296067175194[/C][C]0.00646037885053224[/C][C]8.49057894939753[/C][C]0.102960671751942[/C][/ROW]
[ROW][C]90[/C][C]8.6[/C][C]8.71310662675737[/C][C]-0.0126707553958901[/C][C]8.49956412863852[/C][C]0.113106626757366[/C][/ROW]
[ROW][C]91[/C][C]8.6[/C][C]8.6924833261037[/C][C]-0.00103263398322153[/C][C]8.50854930787952[/C][C]0.0924833261037001[/C][/ROW]
[ROW][C]92[/C][C]8.6[/C][C]8.68637165510787[/C][C]0.00103444092080056[/C][C]8.51259390397133[/C][C]0.0863716551078735[/C][/ROW]
[ROW][C]93[/C][C]8.6[/C][C]8.68795222957973[/C][C]-0.00459072964285728[/C][C]8.51663850006313[/C][C]0.0879522295797255[/C][/ROW]
[ROW][C]94[/C][C]8.5[/C][C]8.49448289434816[/C][C]-0.00909819386603986[/C][C]8.51461529951788[/C][C]-0.00551710565184393[/C][/ROW]
[ROW][C]95[/C][C]8.4[/C][C]8.30616736599898[/C][C]-0.0187594649716158[/C][C]8.51259209897264[/C][C]-0.0938326340010196[/C][/ROW]
[ROW][C]96[/C][C]8.4[/C][C]8.30655316559951[/C][C]-0.00339416794336436[/C][C]8.49684100234385[/C][C]-0.0934468344004884[/C][/ROW]
[ROW][C]97[/C][C]8.4[/C][C]8.32108858881218[/C][C]-0.00217849452725008[/C][C]8.48108990571507[/C][C]-0.0789114111878195[/C][/ROW]
[ROW][C]98[/C][C]8.5[/C][C]8.53773442338269[/C][C]0.0142406341454931[/C][C]8.44802494247182[/C][C]0.0377344233826875[/C][/ROW]
[ROW][C]99[/C][C]8.5[/C][C]8.57745723969912[/C][C]0.00758278107230874[/C][C]8.41495997922857[/C][C]0.0774572396991218[/C][/ROW]
[ROW][C]100[/C][C]8.6[/C][C]8.80429814979988[/C][C]0.0224061873456872[/C][C]8.37329566285444[/C][C]0.204298149799877[/C][/ROW]
[ROW][C]101[/C][C]8.6[/C][C]8.86190827466917[/C][C]0.00646037885053224[/C][C]8.3316313464803[/C][C]0.261908274669166[/C][/ROW]
[ROW][C]102[/C][C]8.4[/C][C]8.52863010050707[/C][C]-0.0126707553958901[/C][C]8.28404065488883[/C][C]0.128630100507065[/C][/ROW]
[ROW][C]103[/C][C]8.2[/C][C]8.16458267068587[/C][C]-0.00103263398322153[/C][C]8.23644996329735[/C][C]-0.0354173293141269[/C][/ROW]
[ROW][C]104[/C][C]8[/C][C]7.82007522970926[/C][C]0.00103444092080056[/C][C]8.17889032936994[/C][C]-0.179924770290745[/C][/ROW]
[ROW][C]105[/C][C]8[/C][C]7.88326003420032[/C][C]-0.00459072964285728[/C][C]8.12133069544254[/C][C]-0.116739965799683[/C][/ROW]
[ROW][C]106[/C][C]8[/C][C]7.94883916659534[/C][C]-0.00909819386603986[/C][C]8.0602590272707[/C][C]-0.0511608334046603[/C][/ROW]
[ROW][C]107[/C][C]8[/C][C]8.01957210587276[/C][C]-0.0187594649716158[/C][C]7.99918735909886[/C][C]0.0195721058727578[/C][/ROW]
[ROW][C]108[/C][C]7.9[/C][C]7.87082639229931[/C][C]-0.00339416794336436[/C][C]7.93256777564405[/C][C]-0.0291736077006899[/C][/ROW]
[ROW][C]109[/C][C]7.9[/C][C]7.936230302338[/C][C]-0.00217849452725008[/C][C]7.86594819218925[/C][C]0.0362303023380006[/C][/ROW]
[ROW][C]110[/C][C]7.8[/C][C]7.795989784759[/C][C]0.0142406341454931[/C][C]7.7897695810955[/C][C]-0.00401021524099221[/C][/ROW]
[ROW][C]111[/C][C]7.8[/C][C]7.87882624892594[/C][C]0.00758278107230874[/C][C]7.71359097000175[/C][C]0.0788262489259433[/C][/ROW]
[ROW][C]112[/C][C]8[/C][C]8.34240911276926[/C][C]0.0224061873456872[/C][C]7.63518469988506[/C][C]0.342409112769257[/C][/ROW]
[ROW][C]113[/C][C]7.8[/C][C]8.0367611913811[/C][C]0.00646037885053224[/C][C]7.55677842976836[/C][C]0.236761191381106[/C][/ROW]
[ROW][C]114[/C][C]7.4[/C][C]7.33136813428096[/C][C]-0.0126707553958901[/C][C]7.48130262111493[/C][C]-0.0686318657190395[/C][/ROW]
[ROW][C]115[/C][C]7.2[/C][C]6.99520582152172[/C][C]-0.00103263398322153[/C][C]7.4058268124615[/C][C]-0.204794178478276[/C][/ROW]
[ROW][C]116[/C][C]7[/C][C]6.67272479820434[/C][C]0.00103444092080056[/C][C]7.32624076087486[/C][C]-0.327275201795659[/C][/ROW]
[ROW][C]117[/C][C]7[/C][C]6.75793602035464[/C][C]-0.00459072964285728[/C][C]7.24665470928822[/C][C]-0.242063979645359[/C][/ROW]
[ROW][C]118[/C][C]7.2[/C][C]7.23779323198578[/C][C]-0.00909819386603986[/C][C]7.17130496188026[/C][C]0.0377932319857779[/C][/ROW]
[ROW][C]119[/C][C]7.2[/C][C]7.3228042504993[/C][C]-0.0187594649716158[/C][C]7.0959552144723[/C][C]0.122804250499309[/C][/ROW]
[ROW][C]120[/C][C]7.2[/C][C]7.34852080462959[/C][C]-0.00339416794336436[/C][C]7.05487336331378[/C][C]0.148520804629588[/C][/ROW]
[ROW][C]121[/C][C]7[/C][C]6.988386982372[/C][C]-0.00217849452725008[/C][C]7.01379151215524[/C][C]-0.0116130176279947[/C][/ROW]
[ROW][C]122[/C][C]6.9[/C][C]6.77819559619393[/C][C]0.0142406341454931[/C][C]7.00756376966057[/C][C]-0.121804403806068[/C][/ROW]
[ROW][C]123[/C][C]6.8[/C][C]6.59108119176179[/C][C]0.00758278107230874[/C][C]7.0013360271659[/C][C]-0.208918808238213[/C][/ROW]
[ROW][C]124[/C][C]6.8[/C][C]6.57063716054762[/C][C]0.0224061873456872[/C][C]7.00695665210669[/C][C]-0.229362839452381[/C][/ROW]
[ROW][C]125[/C][C]6.8[/C][C]6.58096234410199[/C][C]0.00646037885053224[/C][C]7.01257727704748[/C][C]-0.219037655898013[/C][/ROW]
[ROW][C]126[/C][C]6.9[/C][C]6.77554978434622[/C][C]-0.0126707553958901[/C][C]7.03712097104967[/C][C]-0.124450215653784[/C][/ROW]
[ROW][C]127[/C][C]7.2[/C][C]7.33936796893135[/C][C]-0.00103263398322153[/C][C]7.06166466505187[/C][C]0.139367968931354[/C][/ROW]
[ROW][C]128[/C][C]7.2[/C][C]7.28111732677708[/C][C]0.00103444092080056[/C][C]7.11784823230212[/C][C]0.08111732677708[/C][/ROW]
[ROW][C]129[/C][C]7.2[/C][C]7.23055893009049[/C][C]-0.00459072964285728[/C][C]7.17403179955237[/C][C]0.0305589300904874[/C][/ROW]
[ROW][C]130[/C][C]7.1[/C][C]6.96335506260602[/C][C]-0.00909819386603986[/C][C]7.24574313126002[/C][C]-0.13664493739398[/C][/ROW]
[ROW][C]131[/C][C]7.2[/C][C]7.10130500200395[/C][C]-0.0187594649716158[/C][C]7.31745446296767[/C][C]-0.0986949979960521[/C][/ROW]
[ROW][C]132[/C][C]7.3[/C][C]7.2131920151143[/C][C]-0.00339416794336436[/C][C]7.39020215282906[/C][C]-0.0868079848856924[/C][/ROW]
[ROW][C]133[/C][C]7.5[/C][C]7.5392286518368[/C][C]-0.00217849452725008[/C][C]7.46294984269044[/C][C]0.0392286518368063[/C][/ROW]
[ROW][C]134[/C][C]7.6[/C][C]7.64763858815758[/C][C]0.0142406341454931[/C][C]7.53812077769693[/C][C]0.0476385881575778[/C][/ROW]
[ROW][C]135[/C][C]7.7[/C][C]7.77912550622428[/C][C]0.00758278107230874[/C][C]7.61329171270341[/C][C]0.0791255062242788[/C][/ROW]
[ROW][C]136[/C][C]7.7[/C][C]7.68749523225177[/C][C]0.0224061873456872[/C][C]7.69009858040254[/C][C]-0.0125047677482319[/C][/ROW]
[ROW][C]137[/C][C]7.7[/C][C]7.62663417304779[/C][C]0.00646037885053224[/C][C]7.76690544810168[/C][C]-0.073365826952208[/C][/ROW]
[ROW][C]138[/C][C]7.8[/C][C]7.77481947040055[/C][C]-0.0126707553958901[/C][C]7.83785128499533[/C][C]-0.0251805295994449[/C][/ROW]
[ROW][C]139[/C][C]8[/C][C]8.09223551209423[/C][C]-0.00103263398322153[/C][C]7.908797121889[/C][C]0.092235512094228[/C][/ROW]
[ROW][C]140[/C][C]8.1[/C][C]8.22540013280342[/C][C]0.00103444092080056[/C][C]7.97356542627578[/C][C]0.125400132803421[/C][/ROW]
[ROW][C]141[/C][C]8.1[/C][C]8.1662569989803[/C][C]-0.00459072964285728[/C][C]8.03833373066256[/C][C]0.0662569989802932[/C][/ROW]
[ROW][C]142[/C][C]8[/C][C]7.91000738176733[/C][C]-0.00909819386603986[/C][C]8.09909081209871[/C][C]-0.0899926182326691[/C][/ROW]
[ROW][C]143[/C][C]8.1[/C][C]8.05891157143676[/C][C]-0.0187594649716158[/C][C]8.15984789353486[/C][C]-0.0410884285632402[/C][/ROW]
[ROW][C]144[/C][C]8.2[/C][C]8.18872116949574[/C][C]-0.00339416794336436[/C][C]8.21467299844763[/C][C]-0.0112788305042617[/C][/ROW]
[ROW][C]145[/C][C]8.3[/C][C]8.33268039116686[/C][C]-0.00217849452725008[/C][C]8.2694981033604[/C][C]0.0326803911668545[/C][/ROW]
[ROW][C]146[/C][C]8.4[/C][C]8.47361208256778[/C][C]0.0142406341454931[/C][C]8.31214728328673[/C][C]0.0736120825677808[/C][/ROW]
[ROW][C]147[/C][C]8.4[/C][C]8.43762075571464[/C][C]0.00758278107230874[/C][C]8.35479646321306[/C][C]0.0376207557146362[/C][/ROW]
[ROW][C]148[/C][C]8.4[/C][C]8.38316299164723[/C][C]0.0224061873456872[/C][C]8.39443082100709[/C][C]-0.0168370083527751[/C][/ROW]
[ROW][C]149[/C][C]8.5[/C][C]8.55947444234835[/C][C]0.00646037885053224[/C][C]8.43406517880112[/C][C]0.059474442348348[/C][/ROW]
[ROW][C]150[/C][C]8.5[/C][C]8.5394404231252[/C][C]-0.0126707553958901[/C][C]8.47323033227069[/C][C]0.0394404231251979[/C][/ROW]
[ROW][C]151[/C][C]8.6[/C][C]8.68863714824296[/C][C]-0.00103263398322153[/C][C]8.51239548574026[/C][C]0.0886371482429595[/C][/ROW]
[ROW][C]152[/C][C]8.6[/C][C]8.64827690095651[/C][C]0.00103444092080056[/C][C]8.55068865812269[/C][C]0.0482769009565107[/C][/ROW]
[ROW][C]153[/C][C]8.5[/C][C]8.41560889913774[/C][C]-0.00459072964285728[/C][C]8.58898183050511[/C][C]-0.0843911008622573[/C][/ROW]
[ROW][C]154[/C][C]8.5[/C][C]8.38300116063706[/C][C]-0.00909819386603986[/C][C]8.62609703322898[/C][C]-0.116998839362944[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=113327&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113327&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
19.49.2956907160481-0.002178494527250089.50648777847915-0.104309283951904
29.49.308365648009750.01424063414549319.47739371784476-0.0916343519902547
39.59.544117561717320.007582781072308749.448299657210370.0441175617173233
49.59.560241421941540.02240618734568729.417352390712770.0602414219415408
59.49.40713449693430.006460378850532249.386405124215180.00713449693429169
69.49.45855819100064-0.01267075539589019.354112564395250.0585581910006354
79.39.27921262940789-0.001032633983221539.32182000457533-0.0207873705921084
89.49.510544341574570.001034440920800569.288421217504630.110544341574565
99.49.54956829920892-0.004590729642857289.255022430433940.149568299208921
109.29.19781785237337-0.009098193866039869.21128034149266-0.00218214762662505
119.19.05122121242022-0.01875946497161589.1675382525514-0.0487787875797778
129.19.09731050200334-0.003394167943364369.10608366594003-0.00268949799666274
139.19.1575494151986-0.002178494527250089.044629079328660.0575494151985918
1499.024615745431920.01424063414549318.961143620422580.0246157454319249
1599.114759057411180.007582781072308748.87765816151650.114759057411185
168.99.006076818884170.02240618734568728.771516993770150.106076818884167
178.88.928163795125680.006460378850532248.665375826023790.128163795125683
188.78.87583551587184-0.01267075539589018.536835239524050.175835515871842
198.58.59273798095891-0.001032633983221538.408294653024310.0927379809589137
208.38.343231607353930.001034440920800568.255733951725270.0432316073539312
218.18.10141747921663-0.004590729642857288.103173250426230.00141747921662549
227.97.87093941632534-0.009098193866039867.9381587775407-0.02906058367466
237.87.84561516031645-0.01875946497161587.773144304655170.0456151603164479
247.67.58823296414816-0.003394167943364367.6151612037952-0.0117670358518414
257.47.34500039159201-0.002178494527250087.45717810293524-0.054999608407992
267.27.062255342645830.01424063414549317.32350402320868-0.137744657354173
2776.802587275445580.007582781072308747.18982994348212-0.197412724554423
2876.892640120066460.02240618734568727.08495369258785-0.107359879933538
296.86.613462179455880.006460378850532246.98007744169359-0.186537820544118
306.86.71690216621815-0.01267075539589016.89576858917774-0.083097833781852
316.76.58957289732133-0.001032633983221536.8114597366619-0.110427102678674
326.86.85464289530590.001034440920800566.74432266377330.0546428953058973
336.76.72740513875815-0.004590729642857286.677185590884710.0274051387581498
346.76.77786867939785-0.009098193866039866.631229514468190.0778686793978478
356.76.83348602691994-0.01875946497161586.585273438051680.13348602691994
366.56.4512315119991-0.003394167943364366.55216265594427-0.0487684880009063
376.36.08312662069039-0.002178494527250086.51905187383686-0.216873379309614
386.36.090430265376260.01424063414549316.49532910047825-0.209569734623741
396.36.120810891808060.007582781072308746.47160632711963-0.179189108191938
406.56.494996150779270.02240618734568726.48259766187504-0.00500384922072961
416.66.699950624519010.006460378850532246.493588996630450.099950624519014
426.56.46008679858714-0.01267075539589016.55258395680875-0.0399132014128618
436.35.98945371699617-0.001032633983221536.61157891698705-0.310546283003828
446.35.90117659961410.001034440920800566.6977889594651-0.398823400385895
456.56.22059172769972-0.004590729642857286.78399900194314-0.279408272300281
4677.1361388631909-0.009098193866039866.872959330675140.136138863190899
477.17.25683980556447-0.01875946497161586.961919659407140.156839805564474
487.37.54588117840212-0.003394167943364367.057512989541240.24588117840212
497.37.4490721748519-0.002178494527250087.153106319675350.149072174851902
507.47.538563430588880.01424063414549317.247195935265630.138563430588878
517.47.451131668071780.007582781072308747.341285550855910.0511316680717817
527.37.168208692790950.02240618734568727.40938511986336-0.131791307209047
537.47.316054932278660.006460378850532247.47748468887081-0.0839450677213405
547.57.48282235087855-0.01267075539589017.52984840451734-0.0171776491214501
557.77.81882051381935-0.001032633983221537.582212120163870.118820513819352
567.77.75838460454130.001034440920800567.64058095453790.0583846045413035
577.77.70564094073094-0.004590729642857287.698949788911920.00564094073093724
587.77.64644819460715-0.009098193866039867.76264999925889-0.0535518053928508
597.77.59240925536576-0.01875946497161587.82635020960586-0.107590744634245
607.87.72175474377436-0.003394167943364367.881639424169-0.078245256225638
6188.0652498557951-0.002178494527250087.936928638732140.0652498557951064
628.18.203732943336960.01424063414549317.982026422517550.103732943336958
638.18.165293012624740.007582781072308748.027124206302960.0652930126247355
648.28.306879362891940.02240618734568728.070714449762370.106879362891942
658.28.279234927927680.006460378850532248.114304693221780.0792349279276827
668.28.25743305053321-0.01267075539589018.155237704862680.0574330505332092
678.18.00486191747965-0.001032633983221538.19617071650358-0.0951380825203536
688.17.973743524673950.001034440920800568.22522203440525-0.126256475326054
698.28.15031737733593-0.004590729642857288.25427335230693-0.0496826226640739
708.38.34724597262893-0.009098193866039868.261852221237110.0472459726289269
718.38.34932837480432-0.01875946497161588.26943109016730.0493283748043218
728.48.52883632823838-0.003394167943364368.274557839704990.128836328238377
738.58.72249390528457-0.002178494527250088.279684589242680.222493905284569
748.58.681829782544430.01424063414549318.303929583310080.181829782544431
758.48.464242641550220.007582781072308748.328174577377470.0642426415502229
7687.626790215701920.02240618734568728.3508035969524-0.373209784298083
777.97.420107004622150.006460378850532248.37343261652732-0.479892995377854
788.17.83329222710701-0.01267075539589018.37937852828888-0.266707772892989
798.58.61570819393279-0.001032633983221538.385324440050430.11570819393279
808.89.206006065122860.001034440920800568.392959493956340.406006065122856
818.89.2039961817806-0.004590729642857288.400594547862260.403996181780601
828.68.7853881332106-0.009098193866039868.423710060655440.185388133210594
838.38.17193389152298-0.01875946497161588.44682557344863-0.128066108477016
848.38.13927312843916-0.003394167943364368.46412103950421-0.160726871560842
858.38.12076198896747-0.002178494527250088.48141650555978-0.179238011032528
868.48.30349314715340.01424063414549318.4822662187011-0.0965068528465949
878.48.309301287085260.007582781072308748.48311593184243-0.0906987129147367
888.58.490746372034340.02240618734568728.48684744061998-0.00925362796566453
898.68.702960671751940.006460378850532248.490578949397530.102960671751942
908.68.71310662675737-0.01267075539589018.499564128638520.113106626757366
918.68.6924833261037-0.001032633983221538.508549307879520.0924833261037001
928.68.686371655107870.001034440920800568.512593903971330.0863716551078735
938.68.68795222957973-0.004590729642857288.516638500063130.0879522295797255
948.58.49448289434816-0.009098193866039868.51461529951788-0.00551710565184393
958.48.30616736599898-0.01875946497161588.51259209897264-0.0938326340010196
968.48.30655316559951-0.003394167943364368.49684100234385-0.0934468344004884
978.48.32108858881218-0.002178494527250088.48108990571507-0.0789114111878195
988.58.537734423382690.01424063414549318.448024942471820.0377344233826875
998.58.577457239699120.007582781072308748.414959979228570.0774572396991218
1008.68.804298149799880.02240618734568728.373295662854440.204298149799877
1018.68.861908274669170.006460378850532248.33163134648030.261908274669166
1028.48.52863010050707-0.01267075539589018.284040654888830.128630100507065
1038.28.16458267068587-0.001032633983221538.23644996329735-0.0354173293141269
10487.820075229709260.001034440920800568.17889032936994-0.179924770290745
10587.88326003420032-0.004590729642857288.12133069544254-0.116739965799683
10687.94883916659534-0.009098193866039868.0602590272707-0.0511608334046603
10788.01957210587276-0.01875946497161587.999187359098860.0195721058727578
1087.97.87082639229931-0.003394167943364367.93256777564405-0.0291736077006899
1097.97.936230302338-0.002178494527250087.865948192189250.0362303023380006
1107.87.7959897847590.01424063414549317.7897695810955-0.00401021524099221
1117.87.878826248925940.007582781072308747.713590970001750.0788262489259433
11288.342409112769260.02240618734568727.635184699885060.342409112769257
1137.88.03676119138110.006460378850532247.556778429768360.236761191381106
1147.47.33136813428096-0.01267075539589017.48130262111493-0.0686318657190395
1157.26.99520582152172-0.001032633983221537.4058268124615-0.204794178478276
11676.672724798204340.001034440920800567.32624076087486-0.327275201795659
11776.75793602035464-0.004590729642857287.24665470928822-0.242063979645359
1187.27.23779323198578-0.009098193866039867.171304961880260.0377932319857779
1197.27.3228042504993-0.01875946497161587.09595521447230.122804250499309
1207.27.34852080462959-0.003394167943364367.054873363313780.148520804629588
12176.988386982372-0.002178494527250087.01379151215524-0.0116130176279947
1226.96.778195596193930.01424063414549317.00756376966057-0.121804403806068
1236.86.591081191761790.007582781072308747.0013360271659-0.208918808238213
1246.86.570637160547620.02240618734568727.00695665210669-0.229362839452381
1256.86.580962344101990.006460378850532247.01257727704748-0.219037655898013
1266.96.77554978434622-0.01267075539589017.03712097104967-0.124450215653784
1277.27.33936796893135-0.001032633983221537.061664665051870.139367968931354
1287.27.281117326777080.001034440920800567.117848232302120.08111732677708
1297.27.23055893009049-0.004590729642857287.174031799552370.0305589300904874
1307.16.96335506260602-0.009098193866039867.24574313126002-0.13664493739398
1317.27.10130500200395-0.01875946497161587.31745446296767-0.0986949979960521
1327.37.2131920151143-0.003394167943364367.39020215282906-0.0868079848856924
1337.57.5392286518368-0.002178494527250087.462949842690440.0392286518368063
1347.67.647638588157580.01424063414549317.538120777696930.0476385881575778
1357.77.779125506224280.007582781072308747.613291712703410.0791255062242788
1367.77.687495232251770.02240618734568727.69009858040254-0.0125047677482319
1377.77.626634173047790.006460378850532247.76690544810168-0.073365826952208
1387.87.77481947040055-0.01267075539589017.83785128499533-0.0251805295994449
13988.09223551209423-0.001032633983221537.9087971218890.092235512094228
1408.18.225400132803420.001034440920800567.973565426275780.125400132803421
1418.18.1662569989803-0.004590729642857288.038333730662560.0662569989802932
14287.91000738176733-0.009098193866039868.09909081209871-0.0899926182326691
1438.18.05891157143676-0.01875946497161588.15984789353486-0.0410884285632402
1448.28.18872116949574-0.003394167943364368.21467299844763-0.0112788305042617
1458.38.33268039116686-0.002178494527250088.26949810336040.0326803911668545
1468.48.473612082567780.01424063414549318.312147283286730.0736120825677808
1478.48.437620755714640.007582781072308748.354796463213060.0376207557146362
1488.48.383162991647230.02240618734568728.39443082100709-0.0168370083527751
1498.58.559474442348350.006460378850532248.434065178801120.059474442348348
1508.58.5394404231252-0.01267075539589018.473230332270690.0394404231251979
1518.68.68863714824296-0.001032633983221538.512395485740260.0886371482429595
1528.68.648276900956510.001034440920800568.550688658122690.0482769009565107
1538.58.41560889913774-0.004590729642857288.58898183050511-0.0843911008622573
1548.58.38300116063706-0.009098193866039868.62609703322898-0.116998839362944



Parameters (Session):
par1 = 12 ; par2 = periodic ; par3 = 0 ; par5 = 1 ; par7 = 1 ; par8 = FALSE ;
Parameters (R input):
par1 = 12 ; par2 = periodic ; par3 = 0 ; par4 = ; par5 = 1 ; par6 = ; par7 = 1 ; par8 = FALSE ;
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')