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Description of Statistical Computation

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 computationWed, 21 Dec 2011 06:37:38 -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/Dec/21/t13244674794t3edon33hrawr0.htm/, Retrieved Tue, 07 May 2024 21:53:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=158522, Retrieved Tue, 07 May 2024 21:53:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact109

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [web traffic] [2010-10-19 15:13:07] [b98453cac15ba1066b407e146608df68]
- RMP   [Variance Reduction Matrix] [Traffic] [2010-11-29 09:57:15] [b98453cac15ba1066b407e146608df68]
- RM      [Standard Deviation-Mean Plot] [Traffic] [2010-11-29 11:05:08] [b98453cac15ba1066b407e146608df68]
- RMP       [ARIMA Forecasting] [Traffic] [2010-11-29 21:10:32] [b98453cac15ba1066b407e146608df68]
- R PD        [ARIMA Forecasting] [] [2011-12-06 10:39:07] [aba4febe8a2e49e81bdc61a6c01f5c21]
-   PD          [ARIMA Forecasting] [] [2011-12-20 15:47:34] [aba4febe8a2e49e81bdc61a6c01f5c21]
- R               [ARIMA Forecasting] [ARIMA Forecasting CV] [2011-12-20 15:48:10] [aba4febe8a2e49e81bdc61a6c01f5c21]
- RMPD              [ARIMA Backward Selection] [paper arima backw...] [2011-12-21 10:36:30] [aba4febe8a2e49e81bdc61a6c01f5c21]
- RM D                  [Decomposition by Loess] [Paper Decompositi...] [2011-12-21 11:37:38] [3627de22d386f4cb93d383ef7c1ade7f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.8564
0.8973
0.9383
0.9217
0.9095
0.892
0.8742
0.8532
0.8607
0.9005
0.9111
0.9059
0.8883
0.8924
0.8833
0.87
0.8758
0.8858
0.917
0.9554
0.9922
0.9778
0.9808
0.9811
1.0014
1.0183
1.0622
1.0773
1.0807
1.0848
1.1582
1.1663
1.1372
1.1139
1.1222
1.1692
1.1702
1.2286
1.2613
1.2646
1.2262
1.1985
1.2007
1.2138
1.2266
1.2176
1.2218
1.249
1.2991
1.3408
1.3119
1.3014
1.3201
1.2938
1.2694
1.2165
1.2037
1.2292
1.2256
1.2015
1.1786
1.1856
1.2103
1.1938
1.202
1.2271
1.277
1.265
1.2684
1.2811
1.2727
1.2611
1.2881
1.3213
1.2999
1.3074
1.3242
1.3516
1.3511
1.3419
1.3716
1.3622
1.3896
1.4227
1.4684
1.457
1.4718
1.4748
1.5527
1.575
1.5557
1.5553
1.577
1.4975
1.437
1.3322
1.2732
1.3449
1.3239
1.2785
1.305
1.319
1.365
1.4016
1.4088
1.4268
1.4562
1.4816
1.4914
1.4614
1.4272
1.3686
1.3569
1.3406
1.2565
1.2208
1.277
1.2894
1.3067
1.3898
1.3661
1.322
1.336
1.3649
1.3999
1.4442
1.4349
1.4388
1.4264
1.4343
1.377
1.3706

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158522&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158522&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158522&T=0

As an alternative you can also use a QR Code:  
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 time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Seasonal Decomposition by Loess - Parameters
ComponentWindowDegreeJump
Seasonal13210133
Trend1912
Low-pass1312

\begin{tabular}{lllllllll}
\hline
Seasonal Decomposition by Loess - Parameters \tabularnewline
Component & Window & Degree & Jump \tabularnewline
Seasonal & 1321 & 0 & 133 \tabularnewline
Trend & 19 & 1 & 2 \tabularnewline
Low-pass & 13 & 1 & 2 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158522&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]1321[/C][C]0[/C][C]133[/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=158522&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158522&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Seasonal Decomposition by Loess - Parameters
ComponentWindowDegreeJump
Seasonal13210133
Trend1912
Low-pass1312






Seasonal Decomposition by Loess - Time Series Components
tObservedFittedSeasonalTrendRemainder
10.85640.823652999863793-0.008011714453433810.897158714589641-0.0327470001362073
20.89730.89365186075870.004763232819804220.896184906421496-0.00364813924130003
30.93830.9758416555211550.005547246225494630.895211098253350.037541655521155
40.92170.956025580482719-0.007136302507577110.8945107220248580.0343255804827191
50.90950.9238185921884670.001371062015167240.8938103457963660.014318592188467
60.8920.8868519120498680.003769214329657270.893378873620475-0.00514808795013222
70.87420.8503852161474830.005067382407932880.892947401444584-0.0238147838525171
80.85320.815426223314249-0.001106196927847250.892079973613598-0.0377737766857507
90.86070.8236399549103570.006547499307031340.891212545782612-0.037060045089643
100.90050.9112369853578140.0006283176198046620.8891346970223820.0107369853578138
110.91110.94137036029056-0.006227208552711740.8870568482621510.0302703602905603
120.90590.929155289283698-0.005212530309977160.8878572410262790.0232552892836982
130.88830.895954080663027-0.008011714453433810.8886576337904060.00765408066302742
140.89240.8865460793647070.004763232819804220.893490687815489-0.00585392063529289
150.88330.8627290119339340.005547246225494630.898323741840571-0.0205709880660657
160.870.841902938120856-0.007136302507577110.905233364386721-0.0280970618791443
170.87580.8380859510519610.001371062015167240.912142986932872-0.0377140489480389
180.88580.8469679938331280.003769214329657270.920862791837215-0.038832006166872
190.9170.8993500208505090.005067382407932880.929582596741558-0.0176499791494907
200.95540.969857032006157-0.001106196927847250.942049164921690.0144570320061571
210.99221.023336767591150.006547499307031340.9545157331018230.0311367675911459
220.97780.9846890442409940.0006283176198046620.9702826381392010.00688904424099424
230.98080.981777665376132-0.006227208552711740.986049543176580.000977665376132086
240.98110.964433012129008-0.005212530309977161.00297951818097-0.016666987870992
251.00140.990902221268075-0.008011714453433811.01990949318536-0.0104977787319249
261.01830.9959198761170030.004763232819804221.03591689106319-0.0223801238829973
271.06221.066928464833480.005547246225494631.051924288941030.004728464833478
281.07731.09551136576292-0.007136302507577111.066224936744650.0182113657629233
291.08071.079503353436550.001371062015167241.08052558454828-0.0011966465634472
301.08481.071289326845010.003769214329657271.09454145882533-0.0135106731549866
311.15821.202775284489690.005067382407932881.108557333102380.0445752844896883
321.16631.21034884659234-0.001106196927847251.123357350335510.0440488465923372
331.13721.129695133124330.006547499307031341.13815736756864-0.00750486687567231
341.11391.07512480582410.0006283176198046621.1520468765561-0.038775194175904
351.12221.08469082300915-0.006227208552711741.16593638554356-0.0375091769908458
361.16921.16753391685762-0.005212530309977161.17607861345236-0.00166608314238204
371.17021.16219087309227-0.008011714453433811.18622084136116-0.00800912690772737
381.22861.258950263884210.004763232819804221.193486503295990.0303502638842066
391.26131.316300588543690.005547246225494631.200752165230820.0550005885436882
401.26461.32875378635559-0.007136302507577111.207582516151990.0641537863555905
411.22621.236616070911680.001371062015167241.214412867073160.0104160709116772
421.19851.17244299872890.003769214329657271.22078778694144-0.026057001271101
431.20071.169169910782340.005067382407932881.22716270680973-0.0315300892176642
441.21381.19518138715698-0.001106196927847251.23352480977087-0.0186186128430197
451.22661.206765587960970.006547499307031341.239886912732-0.0198344120390335
461.21761.18725937663010.0006283176198046621.2473123057501-0.0303406233699037
471.22181.19508950978452-0.006227208552711741.2547376987682-0.0267104902154842
481.2491.2409418528099-0.005212530309977161.26227067750008-0.00805814719010201
491.29911.33640805822147-0.008011714453433811.269803656231960.0373080582214709
501.34081.403520530619170.004763232819804221.273316236561020.0627205306191749
511.31191.341423936884430.005547246225494631.276828816890080.0295239368844267
521.30141.33457545250201-0.007136302507577111.275360850005570.0331754525020052
531.32011.364936054863770.001371062015167241.273892883121060.0448360548637681
541.29381.316597095231530.003769214329657271.267233690438810.0227970952315324
551.26941.273158119835510.005067382407932881.260574497756560.00375811983551122
561.21651.18388380181922-0.001106196927847251.25022239510863-0.0326161981807847
571.20371.160982208232260.006547499307031341.23987029246071-0.0427177917677388
581.22921.227278553781480.0006283176198046621.23049312859872-0.00192144621852219
591.22561.23631124381598-0.006227208552711741.221115964736730.010711243815984
601.20151.19127058343047-0.005212530309977161.21694194687951-0.0102294165695291
611.17861.15244378543115-0.008011714453433811.21276792902229-0.0261562145688512
621.18561.151766826591650.004763232819804221.21466994058855-0.0338331734083519
631.21031.198480801619690.005547246225494631.21657195215481-0.0118191983803053
641.19381.1728918846087-0.007136302507577111.22184441789888-0.0209081153913007
651.2021.175512054341890.001371062015167241.22711688364294-0.0264879456581117
661.22711.215992032237430.003769214329657271.23443875343292-0.0111079677625745
671.2771.307171994369180.005067382407932881.241760623222890.0301719943691772
681.2651.28018936140041-0.001106196927847251.250916835527440.0151893614004086
691.26841.270179452860980.006547499307031341.260073047831990.0017794528609818
701.28111.292420743284620.0006283176198046621.269150939095570.0113207432846214
711.27271.27339837819355-0.006227208552711741.278228830359160.000698378193551008
721.26111.24092030313921-0.005212530309977161.28649222717077-0.0201796968607881
731.28811.28945609047106-0.008011714453433811.294755623982370.00135609047106344
741.32131.335474590493050.004763232819804221.302362176687140.0141745904930526
751.29991.284284024382590.005547246225494631.30996872939192-0.0156159756174103
761.30741.30325737515414-0.007136302507577111.31867892735344-0.00414262484586314
771.32421.319639812669870.001371062015167241.32738912531496-0.00456018733013175
781.35161.360693331234890.003769214329657271.338737454435450.00909333123489331
791.35111.347046834036130.005067382407932881.35008578355593-0.00405316596386718
801.34191.32138834552267-0.001106196927847251.36351785140517-0.0205116544773256
811.37161.359702581438560.006547499307031341.37694991925441-0.0118974185614431
821.36221.331108590036690.0006283176198046621.39266309234351-0.0310914099633111
831.38961.37705094312011-0.006227208552711741.4083762654326-0.0125490568798892
841.42271.42433686474777-0.005212530309977161.426275665562210.0016368647477687
851.46841.50063664876162-0.008011714453433811.444175065691820.0322366487616172
861.4571.447342692203620.004763232819804221.46189407497657-0.00965730779637886
871.47181.458439669513170.005547246225494631.47961308426133-0.0133603304868275
881.47481.46640053135508-0.007136302507577111.4903357711525-0.00839946864492069
891.55271.602970479941170.001371062015167241.501058458043660.0502704799411702
901.5751.647532876346690.003769214329657271.498697909323660.0725328763466857
911.55571.609995256988420.005067382407932881.496337360603650.0542952569884159
921.55531.62852051674636-0.001106196927847251.483185680181490.0732205167463567
931.5771.677418500933640.006547499307031341.470033999759330.100418500933639
941.49751.544102823704550.0006283176198046621.450268858675640.046602823704551
951.4371.44972349096075-0.006227208552711741.430503717591960.012723490960753
961.33221.26051278967877-0.005212530309977161.40909974063121-0.0716872103212347
971.27321.16671595078297-0.008011714453433811.38769576367047-0.106484049217031
981.34491.312454428543670.004763232819804221.37258233863652-0.0324455714563288
991.32391.284783840171920.005547246225494631.35746891360258-0.0391161598280783
1001.27851.20947537451191-0.007136302507577111.35466092799567-0.0690246254880882
1011.3051.256775995596090.001371062015167241.35185294238875-0.0482240044039137
1021.3191.272552495899170.003769214329657271.36167828977118-0.0464475041008345
1031.3651.353428980438460.005067382407932881.37150363715361-0.0115710195615406
1041.40161.41921486555722-0.001106196927847251.385091331370630.0176148655572179
1051.40881.412373475105320.006547499307031341.398679025587650.0035734751053178
1061.42681.445528640641080.0006283176198046621.407443041739120.0187286406410789
1071.45621.50242015066213-0.006227208552711741.416207057890580.0462201506621296
1081.48161.55319573040405-0.005212530309977161.415216799905930.0715957304040478
1091.49141.57658517253216-0.008011714453433811.414226541921280.0851851725321568
1101.46141.515122274941330.004763232819804221.402914492238870.0537222749413275
1111.42721.457250311218050.005547246225494631.391602442556460.0300503112180459
1121.36861.36800786150248-0.007136302507577111.37632844100509-0.000592138497517158
1131.35691.35137449853110.001371062015167241.36105443945373-0.00552550146889619
1141.34061.329185800682960.003769214329657271.34824498498738-0.0114141993170422
1151.25651.172497087071030.005067382407932881.33543553052104-0.0840029129289739
1161.22081.11486618105874-0.001106196927847251.32784001586911-0.105933818941258
1171.2771.22720799947580.006547499307031341.32024450121717-0.049792000524201
1181.28941.257213211911290.0006283176198046621.3209584704689-0.0321867880887086
1191.30671.29795476883207-0.006227208552711741.32167243972064-0.00874523116792636
1201.38981.45337281383785-0.005212530309977161.331439716472130.0635728138378457
1211.36611.39900472122981-0.008011714453433811.341206993223620.032904721229809
1221.3221.284124604360030.004763232819804221.35511216282016-0.037875395639966
1231.3361.297435421357810.005547246225494631.3690173324167-0.0385645786421935
1241.36491.36017704675558-0.007136302507577111.376759255752-0.00472295324442173
1251.39991.413927758897530.001371062015167241.38450117908730.0140277588975342
1261.44421.493783887500260.003769214329657271.390846898170090.0495838875002574
1271.43491.46754000033920.005067382407932881.397192617252870.0326400003391951
1281.43881.47526216921854-0.001106196927847251.40344402770930.0364621692185445
1291.42641.436557062527240.006547499307031341.409695438165730.0101570625272354
1301.43431.452443812288250.0006283176198046621.415527870091950.0181438122882496
1311.3771.33886690653455-0.006227208552711741.42136030201816-0.038133093465446
1321.37061.31978926910523-0.005212530309977161.42662326120475-0.0508107308947745

\begin{tabular}{lllllllll}
\hline
Seasonal Decomposition by Loess - Time Series Components \tabularnewline
t & Observed & Fitted & Seasonal & Trend & Remainder \tabularnewline
1 & 0.8564 & 0.823652999863793 & -0.00801171445343381 & 0.897158714589641 & -0.0327470001362073 \tabularnewline
2 & 0.8973 & 0.8936518607587 & 0.00476323281980422 & 0.896184906421496 & -0.00364813924130003 \tabularnewline
3 & 0.9383 & 0.975841655521155 & 0.00554724622549463 & 0.89521109825335 & 0.037541655521155 \tabularnewline
4 & 0.9217 & 0.956025580482719 & -0.00713630250757711 & 0.894510722024858 & 0.0343255804827191 \tabularnewline
5 & 0.9095 & 0.923818592188467 & 0.00137106201516724 & 0.893810345796366 & 0.014318592188467 \tabularnewline
6 & 0.892 & 0.886851912049868 & 0.00376921432965727 & 0.893378873620475 & -0.00514808795013222 \tabularnewline
7 & 0.8742 & 0.850385216147483 & 0.00506738240793288 & 0.892947401444584 & -0.0238147838525171 \tabularnewline
8 & 0.8532 & 0.815426223314249 & -0.00110619692784725 & 0.892079973613598 & -0.0377737766857507 \tabularnewline
9 & 0.8607 & 0.823639954910357 & 0.00654749930703134 & 0.891212545782612 & -0.037060045089643 \tabularnewline
10 & 0.9005 & 0.911236985357814 & 0.000628317619804662 & 0.889134697022382 & 0.0107369853578138 \tabularnewline
11 & 0.9111 & 0.94137036029056 & -0.00622720855271174 & 0.887056848262151 & 0.0302703602905603 \tabularnewline
12 & 0.9059 & 0.929155289283698 & -0.00521253030997716 & 0.887857241026279 & 0.0232552892836982 \tabularnewline
13 & 0.8883 & 0.895954080663027 & -0.00801171445343381 & 0.888657633790406 & 0.00765408066302742 \tabularnewline
14 & 0.8924 & 0.886546079364707 & 0.00476323281980422 & 0.893490687815489 & -0.00585392063529289 \tabularnewline
15 & 0.8833 & 0.862729011933934 & 0.00554724622549463 & 0.898323741840571 & -0.0205709880660657 \tabularnewline
16 & 0.87 & 0.841902938120856 & -0.00713630250757711 & 0.905233364386721 & -0.0280970618791443 \tabularnewline
17 & 0.8758 & 0.838085951051961 & 0.00137106201516724 & 0.912142986932872 & -0.0377140489480389 \tabularnewline
18 & 0.8858 & 0.846967993833128 & 0.00376921432965727 & 0.920862791837215 & -0.038832006166872 \tabularnewline
19 & 0.917 & 0.899350020850509 & 0.00506738240793288 & 0.929582596741558 & -0.0176499791494907 \tabularnewline
20 & 0.9554 & 0.969857032006157 & -0.00110619692784725 & 0.94204916492169 & 0.0144570320061571 \tabularnewline
21 & 0.9922 & 1.02333676759115 & 0.00654749930703134 & 0.954515733101823 & 0.0311367675911459 \tabularnewline
22 & 0.9778 & 0.984689044240994 & 0.000628317619804662 & 0.970282638139201 & 0.00688904424099424 \tabularnewline
23 & 0.9808 & 0.981777665376132 & -0.00622720855271174 & 0.98604954317658 & 0.000977665376132086 \tabularnewline
24 & 0.9811 & 0.964433012129008 & -0.00521253030997716 & 1.00297951818097 & -0.016666987870992 \tabularnewline
25 & 1.0014 & 0.990902221268075 & -0.00801171445343381 & 1.01990949318536 & -0.0104977787319249 \tabularnewline
26 & 1.0183 & 0.995919876117003 & 0.00476323281980422 & 1.03591689106319 & -0.0223801238829973 \tabularnewline
27 & 1.0622 & 1.06692846483348 & 0.00554724622549463 & 1.05192428894103 & 0.004728464833478 \tabularnewline
28 & 1.0773 & 1.09551136576292 & -0.00713630250757711 & 1.06622493674465 & 0.0182113657629233 \tabularnewline
29 & 1.0807 & 1.07950335343655 & 0.00137106201516724 & 1.08052558454828 & -0.0011966465634472 \tabularnewline
30 & 1.0848 & 1.07128932684501 & 0.00376921432965727 & 1.09454145882533 & -0.0135106731549866 \tabularnewline
31 & 1.1582 & 1.20277528448969 & 0.00506738240793288 & 1.10855733310238 & 0.0445752844896883 \tabularnewline
32 & 1.1663 & 1.21034884659234 & -0.00110619692784725 & 1.12335735033551 & 0.0440488465923372 \tabularnewline
33 & 1.1372 & 1.12969513312433 & 0.00654749930703134 & 1.13815736756864 & -0.00750486687567231 \tabularnewline
34 & 1.1139 & 1.0751248058241 & 0.000628317619804662 & 1.1520468765561 & -0.038775194175904 \tabularnewline
35 & 1.1222 & 1.08469082300915 & -0.00622720855271174 & 1.16593638554356 & -0.0375091769908458 \tabularnewline
36 & 1.1692 & 1.16753391685762 & -0.00521253030997716 & 1.17607861345236 & -0.00166608314238204 \tabularnewline
37 & 1.1702 & 1.16219087309227 & -0.00801171445343381 & 1.18622084136116 & -0.00800912690772737 \tabularnewline
38 & 1.2286 & 1.25895026388421 & 0.00476323281980422 & 1.19348650329599 & 0.0303502638842066 \tabularnewline
39 & 1.2613 & 1.31630058854369 & 0.00554724622549463 & 1.20075216523082 & 0.0550005885436882 \tabularnewline
40 & 1.2646 & 1.32875378635559 & -0.00713630250757711 & 1.20758251615199 & 0.0641537863555905 \tabularnewline
41 & 1.2262 & 1.23661607091168 & 0.00137106201516724 & 1.21441286707316 & 0.0104160709116772 \tabularnewline
42 & 1.1985 & 1.1724429987289 & 0.00376921432965727 & 1.22078778694144 & -0.026057001271101 \tabularnewline
43 & 1.2007 & 1.16916991078234 & 0.00506738240793288 & 1.22716270680973 & -0.0315300892176642 \tabularnewline
44 & 1.2138 & 1.19518138715698 & -0.00110619692784725 & 1.23352480977087 & -0.0186186128430197 \tabularnewline
45 & 1.2266 & 1.20676558796097 & 0.00654749930703134 & 1.239886912732 & -0.0198344120390335 \tabularnewline
46 & 1.2176 & 1.1872593766301 & 0.000628317619804662 & 1.2473123057501 & -0.0303406233699037 \tabularnewline
47 & 1.2218 & 1.19508950978452 & -0.00622720855271174 & 1.2547376987682 & -0.0267104902154842 \tabularnewline
48 & 1.249 & 1.2409418528099 & -0.00521253030997716 & 1.26227067750008 & -0.00805814719010201 \tabularnewline
49 & 1.2991 & 1.33640805822147 & -0.00801171445343381 & 1.26980365623196 & 0.0373080582214709 \tabularnewline
50 & 1.3408 & 1.40352053061917 & 0.00476323281980422 & 1.27331623656102 & 0.0627205306191749 \tabularnewline
51 & 1.3119 & 1.34142393688443 & 0.00554724622549463 & 1.27682881689008 & 0.0295239368844267 \tabularnewline
52 & 1.3014 & 1.33457545250201 & -0.00713630250757711 & 1.27536085000557 & 0.0331754525020052 \tabularnewline
53 & 1.3201 & 1.36493605486377 & 0.00137106201516724 & 1.27389288312106 & 0.0448360548637681 \tabularnewline
54 & 1.2938 & 1.31659709523153 & 0.00376921432965727 & 1.26723369043881 & 0.0227970952315324 \tabularnewline
55 & 1.2694 & 1.27315811983551 & 0.00506738240793288 & 1.26057449775656 & 0.00375811983551122 \tabularnewline
56 & 1.2165 & 1.18388380181922 & -0.00110619692784725 & 1.25022239510863 & -0.0326161981807847 \tabularnewline
57 & 1.2037 & 1.16098220823226 & 0.00654749930703134 & 1.23987029246071 & -0.0427177917677388 \tabularnewline
58 & 1.2292 & 1.22727855378148 & 0.000628317619804662 & 1.23049312859872 & -0.00192144621852219 \tabularnewline
59 & 1.2256 & 1.23631124381598 & -0.00622720855271174 & 1.22111596473673 & 0.010711243815984 \tabularnewline
60 & 1.2015 & 1.19127058343047 & -0.00521253030997716 & 1.21694194687951 & -0.0102294165695291 \tabularnewline
61 & 1.1786 & 1.15244378543115 & -0.00801171445343381 & 1.21276792902229 & -0.0261562145688512 \tabularnewline
62 & 1.1856 & 1.15176682659165 & 0.00476323281980422 & 1.21466994058855 & -0.0338331734083519 \tabularnewline
63 & 1.2103 & 1.19848080161969 & 0.00554724622549463 & 1.21657195215481 & -0.0118191983803053 \tabularnewline
64 & 1.1938 & 1.1728918846087 & -0.00713630250757711 & 1.22184441789888 & -0.0209081153913007 \tabularnewline
65 & 1.202 & 1.17551205434189 & 0.00137106201516724 & 1.22711688364294 & -0.0264879456581117 \tabularnewline
66 & 1.2271 & 1.21599203223743 & 0.00376921432965727 & 1.23443875343292 & -0.0111079677625745 \tabularnewline
67 & 1.277 & 1.30717199436918 & 0.00506738240793288 & 1.24176062322289 & 0.0301719943691772 \tabularnewline
68 & 1.265 & 1.28018936140041 & -0.00110619692784725 & 1.25091683552744 & 0.0151893614004086 \tabularnewline
69 & 1.2684 & 1.27017945286098 & 0.00654749930703134 & 1.26007304783199 & 0.0017794528609818 \tabularnewline
70 & 1.2811 & 1.29242074328462 & 0.000628317619804662 & 1.26915093909557 & 0.0113207432846214 \tabularnewline
71 & 1.2727 & 1.27339837819355 & -0.00622720855271174 & 1.27822883035916 & 0.000698378193551008 \tabularnewline
72 & 1.2611 & 1.24092030313921 & -0.00521253030997716 & 1.28649222717077 & -0.0201796968607881 \tabularnewline
73 & 1.2881 & 1.28945609047106 & -0.00801171445343381 & 1.29475562398237 & 0.00135609047106344 \tabularnewline
74 & 1.3213 & 1.33547459049305 & 0.00476323281980422 & 1.30236217668714 & 0.0141745904930526 \tabularnewline
75 & 1.2999 & 1.28428402438259 & 0.00554724622549463 & 1.30996872939192 & -0.0156159756174103 \tabularnewline
76 & 1.3074 & 1.30325737515414 & -0.00713630250757711 & 1.31867892735344 & -0.00414262484586314 \tabularnewline
77 & 1.3242 & 1.31963981266987 & 0.00137106201516724 & 1.32738912531496 & -0.00456018733013175 \tabularnewline
78 & 1.3516 & 1.36069333123489 & 0.00376921432965727 & 1.33873745443545 & 0.00909333123489331 \tabularnewline
79 & 1.3511 & 1.34704683403613 & 0.00506738240793288 & 1.35008578355593 & -0.00405316596386718 \tabularnewline
80 & 1.3419 & 1.32138834552267 & -0.00110619692784725 & 1.36351785140517 & -0.0205116544773256 \tabularnewline
81 & 1.3716 & 1.35970258143856 & 0.00654749930703134 & 1.37694991925441 & -0.0118974185614431 \tabularnewline
82 & 1.3622 & 1.33110859003669 & 0.000628317619804662 & 1.39266309234351 & -0.0310914099633111 \tabularnewline
83 & 1.3896 & 1.37705094312011 & -0.00622720855271174 & 1.4083762654326 & -0.0125490568798892 \tabularnewline
84 & 1.4227 & 1.42433686474777 & -0.00521253030997716 & 1.42627566556221 & 0.0016368647477687 \tabularnewline
85 & 1.4684 & 1.50063664876162 & -0.00801171445343381 & 1.44417506569182 & 0.0322366487616172 \tabularnewline
86 & 1.457 & 1.44734269220362 & 0.00476323281980422 & 1.46189407497657 & -0.00965730779637886 \tabularnewline
87 & 1.4718 & 1.45843966951317 & 0.00554724622549463 & 1.47961308426133 & -0.0133603304868275 \tabularnewline
88 & 1.4748 & 1.46640053135508 & -0.00713630250757711 & 1.4903357711525 & -0.00839946864492069 \tabularnewline
89 & 1.5527 & 1.60297047994117 & 0.00137106201516724 & 1.50105845804366 & 0.0502704799411702 \tabularnewline
90 & 1.575 & 1.64753287634669 & 0.00376921432965727 & 1.49869790932366 & 0.0725328763466857 \tabularnewline
91 & 1.5557 & 1.60999525698842 & 0.00506738240793288 & 1.49633736060365 & 0.0542952569884159 \tabularnewline
92 & 1.5553 & 1.62852051674636 & -0.00110619692784725 & 1.48318568018149 & 0.0732205167463567 \tabularnewline
93 & 1.577 & 1.67741850093364 & 0.00654749930703134 & 1.47003399975933 & 0.100418500933639 \tabularnewline
94 & 1.4975 & 1.54410282370455 & 0.000628317619804662 & 1.45026885867564 & 0.046602823704551 \tabularnewline
95 & 1.437 & 1.44972349096075 & -0.00622720855271174 & 1.43050371759196 & 0.012723490960753 \tabularnewline
96 & 1.3322 & 1.26051278967877 & -0.00521253030997716 & 1.40909974063121 & -0.0716872103212347 \tabularnewline
97 & 1.2732 & 1.16671595078297 & -0.00801171445343381 & 1.38769576367047 & -0.106484049217031 \tabularnewline
98 & 1.3449 & 1.31245442854367 & 0.00476323281980422 & 1.37258233863652 & -0.0324455714563288 \tabularnewline
99 & 1.3239 & 1.28478384017192 & 0.00554724622549463 & 1.35746891360258 & -0.0391161598280783 \tabularnewline
100 & 1.2785 & 1.20947537451191 & -0.00713630250757711 & 1.35466092799567 & -0.0690246254880882 \tabularnewline
101 & 1.305 & 1.25677599559609 & 0.00137106201516724 & 1.35185294238875 & -0.0482240044039137 \tabularnewline
102 & 1.319 & 1.27255249589917 & 0.00376921432965727 & 1.36167828977118 & -0.0464475041008345 \tabularnewline
103 & 1.365 & 1.35342898043846 & 0.00506738240793288 & 1.37150363715361 & -0.0115710195615406 \tabularnewline
104 & 1.4016 & 1.41921486555722 & -0.00110619692784725 & 1.38509133137063 & 0.0176148655572179 \tabularnewline
105 & 1.4088 & 1.41237347510532 & 0.00654749930703134 & 1.39867902558765 & 0.0035734751053178 \tabularnewline
106 & 1.4268 & 1.44552864064108 & 0.000628317619804662 & 1.40744304173912 & 0.0187286406410789 \tabularnewline
107 & 1.4562 & 1.50242015066213 & -0.00622720855271174 & 1.41620705789058 & 0.0462201506621296 \tabularnewline
108 & 1.4816 & 1.55319573040405 & -0.00521253030997716 & 1.41521679990593 & 0.0715957304040478 \tabularnewline
109 & 1.4914 & 1.57658517253216 & -0.00801171445343381 & 1.41422654192128 & 0.0851851725321568 \tabularnewline
110 & 1.4614 & 1.51512227494133 & 0.00476323281980422 & 1.40291449223887 & 0.0537222749413275 \tabularnewline
111 & 1.4272 & 1.45725031121805 & 0.00554724622549463 & 1.39160244255646 & 0.0300503112180459 \tabularnewline
112 & 1.3686 & 1.36800786150248 & -0.00713630250757711 & 1.37632844100509 & -0.000592138497517158 \tabularnewline
113 & 1.3569 & 1.3513744985311 & 0.00137106201516724 & 1.36105443945373 & -0.00552550146889619 \tabularnewline
114 & 1.3406 & 1.32918580068296 & 0.00376921432965727 & 1.34824498498738 & -0.0114141993170422 \tabularnewline
115 & 1.2565 & 1.17249708707103 & 0.00506738240793288 & 1.33543553052104 & -0.0840029129289739 \tabularnewline
116 & 1.2208 & 1.11486618105874 & -0.00110619692784725 & 1.32784001586911 & -0.105933818941258 \tabularnewline
117 & 1.277 & 1.2272079994758 & 0.00654749930703134 & 1.32024450121717 & -0.049792000524201 \tabularnewline
118 & 1.2894 & 1.25721321191129 & 0.000628317619804662 & 1.3209584704689 & -0.0321867880887086 \tabularnewline
119 & 1.3067 & 1.29795476883207 & -0.00622720855271174 & 1.32167243972064 & -0.00874523116792636 \tabularnewline
120 & 1.3898 & 1.45337281383785 & -0.00521253030997716 & 1.33143971647213 & 0.0635728138378457 \tabularnewline
121 & 1.3661 & 1.39900472122981 & -0.00801171445343381 & 1.34120699322362 & 0.032904721229809 \tabularnewline
122 & 1.322 & 1.28412460436003 & 0.00476323281980422 & 1.35511216282016 & -0.037875395639966 \tabularnewline
123 & 1.336 & 1.29743542135781 & 0.00554724622549463 & 1.3690173324167 & -0.0385645786421935 \tabularnewline
124 & 1.3649 & 1.36017704675558 & -0.00713630250757711 & 1.376759255752 & -0.00472295324442173 \tabularnewline
125 & 1.3999 & 1.41392775889753 & 0.00137106201516724 & 1.3845011790873 & 0.0140277588975342 \tabularnewline
126 & 1.4442 & 1.49378388750026 & 0.00376921432965727 & 1.39084689817009 & 0.0495838875002574 \tabularnewline
127 & 1.4349 & 1.4675400003392 & 0.00506738240793288 & 1.39719261725287 & 0.0326400003391951 \tabularnewline
128 & 1.4388 & 1.47526216921854 & -0.00110619692784725 & 1.4034440277093 & 0.0364621692185445 \tabularnewline
129 & 1.4264 & 1.43655706252724 & 0.00654749930703134 & 1.40969543816573 & 0.0101570625272354 \tabularnewline
130 & 1.4343 & 1.45244381228825 & 0.000628317619804662 & 1.41552787009195 & 0.0181438122882496 \tabularnewline
131 & 1.377 & 1.33886690653455 & -0.00622720855271174 & 1.42136030201816 & -0.038133093465446 \tabularnewline
132 & 1.3706 & 1.31978926910523 & -0.00521253030997716 & 1.42662326120475 & -0.0508107308947745 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158522&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]0.8564[/C][C]0.823652999863793[/C][C]-0.00801171445343381[/C][C]0.897158714589641[/C][C]-0.0327470001362073[/C][/ROW]
[ROW][C]2[/C][C]0.8973[/C][C]0.8936518607587[/C][C]0.00476323281980422[/C][C]0.896184906421496[/C][C]-0.00364813924130003[/C][/ROW]
[ROW][C]3[/C][C]0.9383[/C][C]0.975841655521155[/C][C]0.00554724622549463[/C][C]0.89521109825335[/C][C]0.037541655521155[/C][/ROW]
[ROW][C]4[/C][C]0.9217[/C][C]0.956025580482719[/C][C]-0.00713630250757711[/C][C]0.894510722024858[/C][C]0.0343255804827191[/C][/ROW]
[ROW][C]5[/C][C]0.9095[/C][C]0.923818592188467[/C][C]0.00137106201516724[/C][C]0.893810345796366[/C][C]0.014318592188467[/C][/ROW]
[ROW][C]6[/C][C]0.892[/C][C]0.886851912049868[/C][C]0.00376921432965727[/C][C]0.893378873620475[/C][C]-0.00514808795013222[/C][/ROW]
[ROW][C]7[/C][C]0.8742[/C][C]0.850385216147483[/C][C]0.00506738240793288[/C][C]0.892947401444584[/C][C]-0.0238147838525171[/C][/ROW]
[ROW][C]8[/C][C]0.8532[/C][C]0.815426223314249[/C][C]-0.00110619692784725[/C][C]0.892079973613598[/C][C]-0.0377737766857507[/C][/ROW]
[ROW][C]9[/C][C]0.8607[/C][C]0.823639954910357[/C][C]0.00654749930703134[/C][C]0.891212545782612[/C][C]-0.037060045089643[/C][/ROW]
[ROW][C]10[/C][C]0.9005[/C][C]0.911236985357814[/C][C]0.000628317619804662[/C][C]0.889134697022382[/C][C]0.0107369853578138[/C][/ROW]
[ROW][C]11[/C][C]0.9111[/C][C]0.94137036029056[/C][C]-0.00622720855271174[/C][C]0.887056848262151[/C][C]0.0302703602905603[/C][/ROW]
[ROW][C]12[/C][C]0.9059[/C][C]0.929155289283698[/C][C]-0.00521253030997716[/C][C]0.887857241026279[/C][C]0.0232552892836982[/C][/ROW]
[ROW][C]13[/C][C]0.8883[/C][C]0.895954080663027[/C][C]-0.00801171445343381[/C][C]0.888657633790406[/C][C]0.00765408066302742[/C][/ROW]
[ROW][C]14[/C][C]0.8924[/C][C]0.886546079364707[/C][C]0.00476323281980422[/C][C]0.893490687815489[/C][C]-0.00585392063529289[/C][/ROW]
[ROW][C]15[/C][C]0.8833[/C][C]0.862729011933934[/C][C]0.00554724622549463[/C][C]0.898323741840571[/C][C]-0.0205709880660657[/C][/ROW]
[ROW][C]16[/C][C]0.87[/C][C]0.841902938120856[/C][C]-0.00713630250757711[/C][C]0.905233364386721[/C][C]-0.0280970618791443[/C][/ROW]
[ROW][C]17[/C][C]0.8758[/C][C]0.838085951051961[/C][C]0.00137106201516724[/C][C]0.912142986932872[/C][C]-0.0377140489480389[/C][/ROW]
[ROW][C]18[/C][C]0.8858[/C][C]0.846967993833128[/C][C]0.00376921432965727[/C][C]0.920862791837215[/C][C]-0.038832006166872[/C][/ROW]
[ROW][C]19[/C][C]0.917[/C][C]0.899350020850509[/C][C]0.00506738240793288[/C][C]0.929582596741558[/C][C]-0.0176499791494907[/C][/ROW]
[ROW][C]20[/C][C]0.9554[/C][C]0.969857032006157[/C][C]-0.00110619692784725[/C][C]0.94204916492169[/C][C]0.0144570320061571[/C][/ROW]
[ROW][C]21[/C][C]0.9922[/C][C]1.02333676759115[/C][C]0.00654749930703134[/C][C]0.954515733101823[/C][C]0.0311367675911459[/C][/ROW]
[ROW][C]22[/C][C]0.9778[/C][C]0.984689044240994[/C][C]0.000628317619804662[/C][C]0.970282638139201[/C][C]0.00688904424099424[/C][/ROW]
[ROW][C]23[/C][C]0.9808[/C][C]0.981777665376132[/C][C]-0.00622720855271174[/C][C]0.98604954317658[/C][C]0.000977665376132086[/C][/ROW]
[ROW][C]24[/C][C]0.9811[/C][C]0.964433012129008[/C][C]-0.00521253030997716[/C][C]1.00297951818097[/C][C]-0.016666987870992[/C][/ROW]
[ROW][C]25[/C][C]1.0014[/C][C]0.990902221268075[/C][C]-0.00801171445343381[/C][C]1.01990949318536[/C][C]-0.0104977787319249[/C][/ROW]
[ROW][C]26[/C][C]1.0183[/C][C]0.995919876117003[/C][C]0.00476323281980422[/C][C]1.03591689106319[/C][C]-0.0223801238829973[/C][/ROW]
[ROW][C]27[/C][C]1.0622[/C][C]1.06692846483348[/C][C]0.00554724622549463[/C][C]1.05192428894103[/C][C]0.004728464833478[/C][/ROW]
[ROW][C]28[/C][C]1.0773[/C][C]1.09551136576292[/C][C]-0.00713630250757711[/C][C]1.06622493674465[/C][C]0.0182113657629233[/C][/ROW]
[ROW][C]29[/C][C]1.0807[/C][C]1.07950335343655[/C][C]0.00137106201516724[/C][C]1.08052558454828[/C][C]-0.0011966465634472[/C][/ROW]
[ROW][C]30[/C][C]1.0848[/C][C]1.07128932684501[/C][C]0.00376921432965727[/C][C]1.09454145882533[/C][C]-0.0135106731549866[/C][/ROW]
[ROW][C]31[/C][C]1.1582[/C][C]1.20277528448969[/C][C]0.00506738240793288[/C][C]1.10855733310238[/C][C]0.0445752844896883[/C][/ROW]
[ROW][C]32[/C][C]1.1663[/C][C]1.21034884659234[/C][C]-0.00110619692784725[/C][C]1.12335735033551[/C][C]0.0440488465923372[/C][/ROW]
[ROW][C]33[/C][C]1.1372[/C][C]1.12969513312433[/C][C]0.00654749930703134[/C][C]1.13815736756864[/C][C]-0.00750486687567231[/C][/ROW]
[ROW][C]34[/C][C]1.1139[/C][C]1.0751248058241[/C][C]0.000628317619804662[/C][C]1.1520468765561[/C][C]-0.038775194175904[/C][/ROW]
[ROW][C]35[/C][C]1.1222[/C][C]1.08469082300915[/C][C]-0.00622720855271174[/C][C]1.16593638554356[/C][C]-0.0375091769908458[/C][/ROW]
[ROW][C]36[/C][C]1.1692[/C][C]1.16753391685762[/C][C]-0.00521253030997716[/C][C]1.17607861345236[/C][C]-0.00166608314238204[/C][/ROW]
[ROW][C]37[/C][C]1.1702[/C][C]1.16219087309227[/C][C]-0.00801171445343381[/C][C]1.18622084136116[/C][C]-0.00800912690772737[/C][/ROW]
[ROW][C]38[/C][C]1.2286[/C][C]1.25895026388421[/C][C]0.00476323281980422[/C][C]1.19348650329599[/C][C]0.0303502638842066[/C][/ROW]
[ROW][C]39[/C][C]1.2613[/C][C]1.31630058854369[/C][C]0.00554724622549463[/C][C]1.20075216523082[/C][C]0.0550005885436882[/C][/ROW]
[ROW][C]40[/C][C]1.2646[/C][C]1.32875378635559[/C][C]-0.00713630250757711[/C][C]1.20758251615199[/C][C]0.0641537863555905[/C][/ROW]
[ROW][C]41[/C][C]1.2262[/C][C]1.23661607091168[/C][C]0.00137106201516724[/C][C]1.21441286707316[/C][C]0.0104160709116772[/C][/ROW]
[ROW][C]42[/C][C]1.1985[/C][C]1.1724429987289[/C][C]0.00376921432965727[/C][C]1.22078778694144[/C][C]-0.026057001271101[/C][/ROW]
[ROW][C]43[/C][C]1.2007[/C][C]1.16916991078234[/C][C]0.00506738240793288[/C][C]1.22716270680973[/C][C]-0.0315300892176642[/C][/ROW]
[ROW][C]44[/C][C]1.2138[/C][C]1.19518138715698[/C][C]-0.00110619692784725[/C][C]1.23352480977087[/C][C]-0.0186186128430197[/C][/ROW]
[ROW][C]45[/C][C]1.2266[/C][C]1.20676558796097[/C][C]0.00654749930703134[/C][C]1.239886912732[/C][C]-0.0198344120390335[/C][/ROW]
[ROW][C]46[/C][C]1.2176[/C][C]1.1872593766301[/C][C]0.000628317619804662[/C][C]1.2473123057501[/C][C]-0.0303406233699037[/C][/ROW]
[ROW][C]47[/C][C]1.2218[/C][C]1.19508950978452[/C][C]-0.00622720855271174[/C][C]1.2547376987682[/C][C]-0.0267104902154842[/C][/ROW]
[ROW][C]48[/C][C]1.249[/C][C]1.2409418528099[/C][C]-0.00521253030997716[/C][C]1.26227067750008[/C][C]-0.00805814719010201[/C][/ROW]
[ROW][C]49[/C][C]1.2991[/C][C]1.33640805822147[/C][C]-0.00801171445343381[/C][C]1.26980365623196[/C][C]0.0373080582214709[/C][/ROW]
[ROW][C]50[/C][C]1.3408[/C][C]1.40352053061917[/C][C]0.00476323281980422[/C][C]1.27331623656102[/C][C]0.0627205306191749[/C][/ROW]
[ROW][C]51[/C][C]1.3119[/C][C]1.34142393688443[/C][C]0.00554724622549463[/C][C]1.27682881689008[/C][C]0.0295239368844267[/C][/ROW]
[ROW][C]52[/C][C]1.3014[/C][C]1.33457545250201[/C][C]-0.00713630250757711[/C][C]1.27536085000557[/C][C]0.0331754525020052[/C][/ROW]
[ROW][C]53[/C][C]1.3201[/C][C]1.36493605486377[/C][C]0.00137106201516724[/C][C]1.27389288312106[/C][C]0.0448360548637681[/C][/ROW]
[ROW][C]54[/C][C]1.2938[/C][C]1.31659709523153[/C][C]0.00376921432965727[/C][C]1.26723369043881[/C][C]0.0227970952315324[/C][/ROW]
[ROW][C]55[/C][C]1.2694[/C][C]1.27315811983551[/C][C]0.00506738240793288[/C][C]1.26057449775656[/C][C]0.00375811983551122[/C][/ROW]
[ROW][C]56[/C][C]1.2165[/C][C]1.18388380181922[/C][C]-0.00110619692784725[/C][C]1.25022239510863[/C][C]-0.0326161981807847[/C][/ROW]
[ROW][C]57[/C][C]1.2037[/C][C]1.16098220823226[/C][C]0.00654749930703134[/C][C]1.23987029246071[/C][C]-0.0427177917677388[/C][/ROW]
[ROW][C]58[/C][C]1.2292[/C][C]1.22727855378148[/C][C]0.000628317619804662[/C][C]1.23049312859872[/C][C]-0.00192144621852219[/C][/ROW]
[ROW][C]59[/C][C]1.2256[/C][C]1.23631124381598[/C][C]-0.00622720855271174[/C][C]1.22111596473673[/C][C]0.010711243815984[/C][/ROW]
[ROW][C]60[/C][C]1.2015[/C][C]1.19127058343047[/C][C]-0.00521253030997716[/C][C]1.21694194687951[/C][C]-0.0102294165695291[/C][/ROW]
[ROW][C]61[/C][C]1.1786[/C][C]1.15244378543115[/C][C]-0.00801171445343381[/C][C]1.21276792902229[/C][C]-0.0261562145688512[/C][/ROW]
[ROW][C]62[/C][C]1.1856[/C][C]1.15176682659165[/C][C]0.00476323281980422[/C][C]1.21466994058855[/C][C]-0.0338331734083519[/C][/ROW]
[ROW][C]63[/C][C]1.2103[/C][C]1.19848080161969[/C][C]0.00554724622549463[/C][C]1.21657195215481[/C][C]-0.0118191983803053[/C][/ROW]
[ROW][C]64[/C][C]1.1938[/C][C]1.1728918846087[/C][C]-0.00713630250757711[/C][C]1.22184441789888[/C][C]-0.0209081153913007[/C][/ROW]
[ROW][C]65[/C][C]1.202[/C][C]1.17551205434189[/C][C]0.00137106201516724[/C][C]1.22711688364294[/C][C]-0.0264879456581117[/C][/ROW]
[ROW][C]66[/C][C]1.2271[/C][C]1.21599203223743[/C][C]0.00376921432965727[/C][C]1.23443875343292[/C][C]-0.0111079677625745[/C][/ROW]
[ROW][C]67[/C][C]1.277[/C][C]1.30717199436918[/C][C]0.00506738240793288[/C][C]1.24176062322289[/C][C]0.0301719943691772[/C][/ROW]
[ROW][C]68[/C][C]1.265[/C][C]1.28018936140041[/C][C]-0.00110619692784725[/C][C]1.25091683552744[/C][C]0.0151893614004086[/C][/ROW]
[ROW][C]69[/C][C]1.2684[/C][C]1.27017945286098[/C][C]0.00654749930703134[/C][C]1.26007304783199[/C][C]0.0017794528609818[/C][/ROW]
[ROW][C]70[/C][C]1.2811[/C][C]1.29242074328462[/C][C]0.000628317619804662[/C][C]1.26915093909557[/C][C]0.0113207432846214[/C][/ROW]
[ROW][C]71[/C][C]1.2727[/C][C]1.27339837819355[/C][C]-0.00622720855271174[/C][C]1.27822883035916[/C][C]0.000698378193551008[/C][/ROW]
[ROW][C]72[/C][C]1.2611[/C][C]1.24092030313921[/C][C]-0.00521253030997716[/C][C]1.28649222717077[/C][C]-0.0201796968607881[/C][/ROW]
[ROW][C]73[/C][C]1.2881[/C][C]1.28945609047106[/C][C]-0.00801171445343381[/C][C]1.29475562398237[/C][C]0.00135609047106344[/C][/ROW]
[ROW][C]74[/C][C]1.3213[/C][C]1.33547459049305[/C][C]0.00476323281980422[/C][C]1.30236217668714[/C][C]0.0141745904930526[/C][/ROW]
[ROW][C]75[/C][C]1.2999[/C][C]1.28428402438259[/C][C]0.00554724622549463[/C][C]1.30996872939192[/C][C]-0.0156159756174103[/C][/ROW]
[ROW][C]76[/C][C]1.3074[/C][C]1.30325737515414[/C][C]-0.00713630250757711[/C][C]1.31867892735344[/C][C]-0.00414262484586314[/C][/ROW]
[ROW][C]77[/C][C]1.3242[/C][C]1.31963981266987[/C][C]0.00137106201516724[/C][C]1.32738912531496[/C][C]-0.00456018733013175[/C][/ROW]
[ROW][C]78[/C][C]1.3516[/C][C]1.36069333123489[/C][C]0.00376921432965727[/C][C]1.33873745443545[/C][C]0.00909333123489331[/C][/ROW]
[ROW][C]79[/C][C]1.3511[/C][C]1.34704683403613[/C][C]0.00506738240793288[/C][C]1.35008578355593[/C][C]-0.00405316596386718[/C][/ROW]
[ROW][C]80[/C][C]1.3419[/C][C]1.32138834552267[/C][C]-0.00110619692784725[/C][C]1.36351785140517[/C][C]-0.0205116544773256[/C][/ROW]
[ROW][C]81[/C][C]1.3716[/C][C]1.35970258143856[/C][C]0.00654749930703134[/C][C]1.37694991925441[/C][C]-0.0118974185614431[/C][/ROW]
[ROW][C]82[/C][C]1.3622[/C][C]1.33110859003669[/C][C]0.000628317619804662[/C][C]1.39266309234351[/C][C]-0.0310914099633111[/C][/ROW]
[ROW][C]83[/C][C]1.3896[/C][C]1.37705094312011[/C][C]-0.00622720855271174[/C][C]1.4083762654326[/C][C]-0.0125490568798892[/C][/ROW]
[ROW][C]84[/C][C]1.4227[/C][C]1.42433686474777[/C][C]-0.00521253030997716[/C][C]1.42627566556221[/C][C]0.0016368647477687[/C][/ROW]
[ROW][C]85[/C][C]1.4684[/C][C]1.50063664876162[/C][C]-0.00801171445343381[/C][C]1.44417506569182[/C][C]0.0322366487616172[/C][/ROW]
[ROW][C]86[/C][C]1.457[/C][C]1.44734269220362[/C][C]0.00476323281980422[/C][C]1.46189407497657[/C][C]-0.00965730779637886[/C][/ROW]
[ROW][C]87[/C][C]1.4718[/C][C]1.45843966951317[/C][C]0.00554724622549463[/C][C]1.47961308426133[/C][C]-0.0133603304868275[/C][/ROW]
[ROW][C]88[/C][C]1.4748[/C][C]1.46640053135508[/C][C]-0.00713630250757711[/C][C]1.4903357711525[/C][C]-0.00839946864492069[/C][/ROW]
[ROW][C]89[/C][C]1.5527[/C][C]1.60297047994117[/C][C]0.00137106201516724[/C][C]1.50105845804366[/C][C]0.0502704799411702[/C][/ROW]
[ROW][C]90[/C][C]1.575[/C][C]1.64753287634669[/C][C]0.00376921432965727[/C][C]1.49869790932366[/C][C]0.0725328763466857[/C][/ROW]
[ROW][C]91[/C][C]1.5557[/C][C]1.60999525698842[/C][C]0.00506738240793288[/C][C]1.49633736060365[/C][C]0.0542952569884159[/C][/ROW]
[ROW][C]92[/C][C]1.5553[/C][C]1.62852051674636[/C][C]-0.00110619692784725[/C][C]1.48318568018149[/C][C]0.0732205167463567[/C][/ROW]
[ROW][C]93[/C][C]1.577[/C][C]1.67741850093364[/C][C]0.00654749930703134[/C][C]1.47003399975933[/C][C]0.100418500933639[/C][/ROW]
[ROW][C]94[/C][C]1.4975[/C][C]1.54410282370455[/C][C]0.000628317619804662[/C][C]1.45026885867564[/C][C]0.046602823704551[/C][/ROW]
[ROW][C]95[/C][C]1.437[/C][C]1.44972349096075[/C][C]-0.00622720855271174[/C][C]1.43050371759196[/C][C]0.012723490960753[/C][/ROW]
[ROW][C]96[/C][C]1.3322[/C][C]1.26051278967877[/C][C]-0.00521253030997716[/C][C]1.40909974063121[/C][C]-0.0716872103212347[/C][/ROW]
[ROW][C]97[/C][C]1.2732[/C][C]1.16671595078297[/C][C]-0.00801171445343381[/C][C]1.38769576367047[/C][C]-0.106484049217031[/C][/ROW]
[ROW][C]98[/C][C]1.3449[/C][C]1.31245442854367[/C][C]0.00476323281980422[/C][C]1.37258233863652[/C][C]-0.0324455714563288[/C][/ROW]
[ROW][C]99[/C][C]1.3239[/C][C]1.28478384017192[/C][C]0.00554724622549463[/C][C]1.35746891360258[/C][C]-0.0391161598280783[/C][/ROW]
[ROW][C]100[/C][C]1.2785[/C][C]1.20947537451191[/C][C]-0.00713630250757711[/C][C]1.35466092799567[/C][C]-0.0690246254880882[/C][/ROW]
[ROW][C]101[/C][C]1.305[/C][C]1.25677599559609[/C][C]0.00137106201516724[/C][C]1.35185294238875[/C][C]-0.0482240044039137[/C][/ROW]
[ROW][C]102[/C][C]1.319[/C][C]1.27255249589917[/C][C]0.00376921432965727[/C][C]1.36167828977118[/C][C]-0.0464475041008345[/C][/ROW]
[ROW][C]103[/C][C]1.365[/C][C]1.35342898043846[/C][C]0.00506738240793288[/C][C]1.37150363715361[/C][C]-0.0115710195615406[/C][/ROW]
[ROW][C]104[/C][C]1.4016[/C][C]1.41921486555722[/C][C]-0.00110619692784725[/C][C]1.38509133137063[/C][C]0.0176148655572179[/C][/ROW]
[ROW][C]105[/C][C]1.4088[/C][C]1.41237347510532[/C][C]0.00654749930703134[/C][C]1.39867902558765[/C][C]0.0035734751053178[/C][/ROW]
[ROW][C]106[/C][C]1.4268[/C][C]1.44552864064108[/C][C]0.000628317619804662[/C][C]1.40744304173912[/C][C]0.0187286406410789[/C][/ROW]
[ROW][C]107[/C][C]1.4562[/C][C]1.50242015066213[/C][C]-0.00622720855271174[/C][C]1.41620705789058[/C][C]0.0462201506621296[/C][/ROW]
[ROW][C]108[/C][C]1.4816[/C][C]1.55319573040405[/C][C]-0.00521253030997716[/C][C]1.41521679990593[/C][C]0.0715957304040478[/C][/ROW]
[ROW][C]109[/C][C]1.4914[/C][C]1.57658517253216[/C][C]-0.00801171445343381[/C][C]1.41422654192128[/C][C]0.0851851725321568[/C][/ROW]
[ROW][C]110[/C][C]1.4614[/C][C]1.51512227494133[/C][C]0.00476323281980422[/C][C]1.40291449223887[/C][C]0.0537222749413275[/C][/ROW]
[ROW][C]111[/C][C]1.4272[/C][C]1.45725031121805[/C][C]0.00554724622549463[/C][C]1.39160244255646[/C][C]0.0300503112180459[/C][/ROW]
[ROW][C]112[/C][C]1.3686[/C][C]1.36800786150248[/C][C]-0.00713630250757711[/C][C]1.37632844100509[/C][C]-0.000592138497517158[/C][/ROW]
[ROW][C]113[/C][C]1.3569[/C][C]1.3513744985311[/C][C]0.00137106201516724[/C][C]1.36105443945373[/C][C]-0.00552550146889619[/C][/ROW]
[ROW][C]114[/C][C]1.3406[/C][C]1.32918580068296[/C][C]0.00376921432965727[/C][C]1.34824498498738[/C][C]-0.0114141993170422[/C][/ROW]
[ROW][C]115[/C][C]1.2565[/C][C]1.17249708707103[/C][C]0.00506738240793288[/C][C]1.33543553052104[/C][C]-0.0840029129289739[/C][/ROW]
[ROW][C]116[/C][C]1.2208[/C][C]1.11486618105874[/C][C]-0.00110619692784725[/C][C]1.32784001586911[/C][C]-0.105933818941258[/C][/ROW]
[ROW][C]117[/C][C]1.277[/C][C]1.2272079994758[/C][C]0.00654749930703134[/C][C]1.32024450121717[/C][C]-0.049792000524201[/C][/ROW]
[ROW][C]118[/C][C]1.2894[/C][C]1.25721321191129[/C][C]0.000628317619804662[/C][C]1.3209584704689[/C][C]-0.0321867880887086[/C][/ROW]
[ROW][C]119[/C][C]1.3067[/C][C]1.29795476883207[/C][C]-0.00622720855271174[/C][C]1.32167243972064[/C][C]-0.00874523116792636[/C][/ROW]
[ROW][C]120[/C][C]1.3898[/C][C]1.45337281383785[/C][C]-0.00521253030997716[/C][C]1.33143971647213[/C][C]0.0635728138378457[/C][/ROW]
[ROW][C]121[/C][C]1.3661[/C][C]1.39900472122981[/C][C]-0.00801171445343381[/C][C]1.34120699322362[/C][C]0.032904721229809[/C][/ROW]
[ROW][C]122[/C][C]1.322[/C][C]1.28412460436003[/C][C]0.00476323281980422[/C][C]1.35511216282016[/C][C]-0.037875395639966[/C][/ROW]
[ROW][C]123[/C][C]1.336[/C][C]1.29743542135781[/C][C]0.00554724622549463[/C][C]1.3690173324167[/C][C]-0.0385645786421935[/C][/ROW]
[ROW][C]124[/C][C]1.3649[/C][C]1.36017704675558[/C][C]-0.00713630250757711[/C][C]1.376759255752[/C][C]-0.00472295324442173[/C][/ROW]
[ROW][C]125[/C][C]1.3999[/C][C]1.41392775889753[/C][C]0.00137106201516724[/C][C]1.3845011790873[/C][C]0.0140277588975342[/C][/ROW]
[ROW][C]126[/C][C]1.4442[/C][C]1.49378388750026[/C][C]0.00376921432965727[/C][C]1.39084689817009[/C][C]0.0495838875002574[/C][/ROW]
[ROW][C]127[/C][C]1.4349[/C][C]1.4675400003392[/C][C]0.00506738240793288[/C][C]1.39719261725287[/C][C]0.0326400003391951[/C][/ROW]
[ROW][C]128[/C][C]1.4388[/C][C]1.47526216921854[/C][C]-0.00110619692784725[/C][C]1.4034440277093[/C][C]0.0364621692185445[/C][/ROW]
[ROW][C]129[/C][C]1.4264[/C][C]1.43655706252724[/C][C]0.00654749930703134[/C][C]1.40969543816573[/C][C]0.0101570625272354[/C][/ROW]
[ROW][C]130[/C][C]1.4343[/C][C]1.45244381228825[/C][C]0.000628317619804662[/C][C]1.41552787009195[/C][C]0.0181438122882496[/C][/ROW]
[ROW][C]131[/C][C]1.377[/C][C]1.33886690653455[/C][C]-0.00622720855271174[/C][C]1.42136030201816[/C][C]-0.038133093465446[/C][/ROW]
[ROW][C]132[/C][C]1.3706[/C][C]1.31978926910523[/C][C]-0.00521253030997716[/C][C]1.42662326120475[/C][C]-0.0508107308947745[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158522&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158522&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Seasonal Decomposition by Loess - Time Series Components
tObservedFittedSeasonalTrendRemainder
10.85640.823652999863793-0.008011714453433810.897158714589641-0.0327470001362073
20.89730.89365186075870.004763232819804220.896184906421496-0.00364813924130003
30.93830.9758416555211550.005547246225494630.895211098253350.037541655521155
40.92170.956025580482719-0.007136302507577110.8945107220248580.0343255804827191
50.90950.9238185921884670.001371062015167240.8938103457963660.014318592188467
60.8920.8868519120498680.003769214329657270.893378873620475-0.00514808795013222
70.87420.8503852161474830.005067382407932880.892947401444584-0.0238147838525171
80.85320.815426223314249-0.001106196927847250.892079973613598-0.0377737766857507
90.86070.8236399549103570.006547499307031340.891212545782612-0.037060045089643
100.90050.9112369853578140.0006283176198046620.8891346970223820.0107369853578138
110.91110.94137036029056-0.006227208552711740.8870568482621510.0302703602905603
120.90590.929155289283698-0.005212530309977160.8878572410262790.0232552892836982
130.88830.895954080663027-0.008011714453433810.8886576337904060.00765408066302742
140.89240.8865460793647070.004763232819804220.893490687815489-0.00585392063529289
150.88330.8627290119339340.005547246225494630.898323741840571-0.0205709880660657
160.870.841902938120856-0.007136302507577110.905233364386721-0.0280970618791443
170.87580.8380859510519610.001371062015167240.912142986932872-0.0377140489480389
180.88580.8469679938331280.003769214329657270.920862791837215-0.038832006166872
190.9170.8993500208505090.005067382407932880.929582596741558-0.0176499791494907
200.95540.969857032006157-0.001106196927847250.942049164921690.0144570320061571
210.99221.023336767591150.006547499307031340.9545157331018230.0311367675911459
220.97780.9846890442409940.0006283176198046620.9702826381392010.00688904424099424
230.98080.981777665376132-0.006227208552711740.986049543176580.000977665376132086
240.98110.964433012129008-0.005212530309977161.00297951818097-0.016666987870992
251.00140.990902221268075-0.008011714453433811.01990949318536-0.0104977787319249
261.01830.9959198761170030.004763232819804221.03591689106319-0.0223801238829973
271.06221.066928464833480.005547246225494631.051924288941030.004728464833478
281.07731.09551136576292-0.007136302507577111.066224936744650.0182113657629233
291.08071.079503353436550.001371062015167241.08052558454828-0.0011966465634472
301.08481.071289326845010.003769214329657271.09454145882533-0.0135106731549866
311.15821.202775284489690.005067382407932881.108557333102380.0445752844896883
321.16631.21034884659234-0.001106196927847251.123357350335510.0440488465923372
331.13721.129695133124330.006547499307031341.13815736756864-0.00750486687567231
341.11391.07512480582410.0006283176198046621.1520468765561-0.038775194175904
351.12221.08469082300915-0.006227208552711741.16593638554356-0.0375091769908458
361.16921.16753391685762-0.005212530309977161.17607861345236-0.00166608314238204
371.17021.16219087309227-0.008011714453433811.18622084136116-0.00800912690772737
381.22861.258950263884210.004763232819804221.193486503295990.0303502638842066
391.26131.316300588543690.005547246225494631.200752165230820.0550005885436882
401.26461.32875378635559-0.007136302507577111.207582516151990.0641537863555905
411.22621.236616070911680.001371062015167241.214412867073160.0104160709116772
421.19851.17244299872890.003769214329657271.22078778694144-0.026057001271101
431.20071.169169910782340.005067382407932881.22716270680973-0.0315300892176642
441.21381.19518138715698-0.001106196927847251.23352480977087-0.0186186128430197
451.22661.206765587960970.006547499307031341.239886912732-0.0198344120390335
461.21761.18725937663010.0006283176198046621.2473123057501-0.0303406233699037
471.22181.19508950978452-0.006227208552711741.2547376987682-0.0267104902154842
481.2491.2409418528099-0.005212530309977161.26227067750008-0.00805814719010201
491.29911.33640805822147-0.008011714453433811.269803656231960.0373080582214709
501.34081.403520530619170.004763232819804221.273316236561020.0627205306191749
511.31191.341423936884430.005547246225494631.276828816890080.0295239368844267
521.30141.33457545250201-0.007136302507577111.275360850005570.0331754525020052
531.32011.364936054863770.001371062015167241.273892883121060.0448360548637681
541.29381.316597095231530.003769214329657271.267233690438810.0227970952315324
551.26941.273158119835510.005067382407932881.260574497756560.00375811983551122
561.21651.18388380181922-0.001106196927847251.25022239510863-0.0326161981807847
571.20371.160982208232260.006547499307031341.23987029246071-0.0427177917677388
581.22921.227278553781480.0006283176198046621.23049312859872-0.00192144621852219
591.22561.23631124381598-0.006227208552711741.221115964736730.010711243815984
601.20151.19127058343047-0.005212530309977161.21694194687951-0.0102294165695291
611.17861.15244378543115-0.008011714453433811.21276792902229-0.0261562145688512
621.18561.151766826591650.004763232819804221.21466994058855-0.0338331734083519
631.21031.198480801619690.005547246225494631.21657195215481-0.0118191983803053
641.19381.1728918846087-0.007136302507577111.22184441789888-0.0209081153913007
651.2021.175512054341890.001371062015167241.22711688364294-0.0264879456581117
661.22711.215992032237430.003769214329657271.23443875343292-0.0111079677625745
671.2771.307171994369180.005067382407932881.241760623222890.0301719943691772
681.2651.28018936140041-0.001106196927847251.250916835527440.0151893614004086
691.26841.270179452860980.006547499307031341.260073047831990.0017794528609818
701.28111.292420743284620.0006283176198046621.269150939095570.0113207432846214
711.27271.27339837819355-0.006227208552711741.278228830359160.000698378193551008
721.26111.24092030313921-0.005212530309977161.28649222717077-0.0201796968607881
731.28811.28945609047106-0.008011714453433811.294755623982370.00135609047106344
741.32131.335474590493050.004763232819804221.302362176687140.0141745904930526
751.29991.284284024382590.005547246225494631.30996872939192-0.0156159756174103
761.30741.30325737515414-0.007136302507577111.31867892735344-0.00414262484586314
771.32421.319639812669870.001371062015167241.32738912531496-0.00456018733013175
781.35161.360693331234890.003769214329657271.338737454435450.00909333123489331
791.35111.347046834036130.005067382407932881.35008578355593-0.00405316596386718
801.34191.32138834552267-0.001106196927847251.36351785140517-0.0205116544773256
811.37161.359702581438560.006547499307031341.37694991925441-0.0118974185614431
821.36221.331108590036690.0006283176198046621.39266309234351-0.0310914099633111
831.38961.37705094312011-0.006227208552711741.4083762654326-0.0125490568798892
841.42271.42433686474777-0.005212530309977161.426275665562210.0016368647477687
851.46841.50063664876162-0.008011714453433811.444175065691820.0322366487616172
861.4571.447342692203620.004763232819804221.46189407497657-0.00965730779637886
871.47181.458439669513170.005547246225494631.47961308426133-0.0133603304868275
881.47481.46640053135508-0.007136302507577111.4903357711525-0.00839946864492069
891.55271.602970479941170.001371062015167241.501058458043660.0502704799411702
901.5751.647532876346690.003769214329657271.498697909323660.0725328763466857
911.55571.609995256988420.005067382407932881.496337360603650.0542952569884159
921.55531.62852051674636-0.001106196927847251.483185680181490.0732205167463567
931.5771.677418500933640.006547499307031341.470033999759330.100418500933639
941.49751.544102823704550.0006283176198046621.450268858675640.046602823704551
951.4371.44972349096075-0.006227208552711741.430503717591960.012723490960753
961.33221.26051278967877-0.005212530309977161.40909974063121-0.0716872103212347
971.27321.16671595078297-0.008011714453433811.38769576367047-0.106484049217031
981.34491.312454428543670.004763232819804221.37258233863652-0.0324455714563288
991.32391.284783840171920.005547246225494631.35746891360258-0.0391161598280783
1001.27851.20947537451191-0.007136302507577111.35466092799567-0.0690246254880882
1011.3051.256775995596090.001371062015167241.35185294238875-0.0482240044039137
1021.3191.272552495899170.003769214329657271.36167828977118-0.0464475041008345
1031.3651.353428980438460.005067382407932881.37150363715361-0.0115710195615406
1041.40161.41921486555722-0.001106196927847251.385091331370630.0176148655572179
1051.40881.412373475105320.006547499307031341.398679025587650.0035734751053178
1061.42681.445528640641080.0006283176198046621.407443041739120.0187286406410789
1071.45621.50242015066213-0.006227208552711741.416207057890580.0462201506621296
1081.48161.55319573040405-0.005212530309977161.415216799905930.0715957304040478
1091.49141.57658517253216-0.008011714453433811.414226541921280.0851851725321568
1101.46141.515122274941330.004763232819804221.402914492238870.0537222749413275
1111.42721.457250311218050.005547246225494631.391602442556460.0300503112180459
1121.36861.36800786150248-0.007136302507577111.37632844100509-0.000592138497517158
1131.35691.35137449853110.001371062015167241.36105443945373-0.00552550146889619
1141.34061.329185800682960.003769214329657271.34824498498738-0.0114141993170422
1151.25651.172497087071030.005067382407932881.33543553052104-0.0840029129289739
1161.22081.11486618105874-0.001106196927847251.32784001586911-0.105933818941258
1171.2771.22720799947580.006547499307031341.32024450121717-0.049792000524201
1181.28941.257213211911290.0006283176198046621.3209584704689-0.0321867880887086
1191.30671.29795476883207-0.006227208552711741.32167243972064-0.00874523116792636
1201.38981.45337281383785-0.005212530309977161.331439716472130.0635728138378457
1211.36611.39900472122981-0.008011714453433811.341206993223620.032904721229809
1221.3221.284124604360030.004763232819804221.35511216282016-0.037875395639966
1231.3361.297435421357810.005547246225494631.3690173324167-0.0385645786421935
1241.36491.36017704675558-0.007136302507577111.376759255752-0.00472295324442173
1251.39991.413927758897530.001371062015167241.38450117908730.0140277588975342
1261.44421.493783887500260.003769214329657271.390846898170090.0495838875002574
1271.43491.46754000033920.005067382407932881.397192617252870.0326400003391951
1281.43881.47526216921854-0.001106196927847251.40344402770930.0364621692185445
1291.42641.436557062527240.006547499307031341.409695438165730.0101570625272354
1301.43431.452443812288250.0006283176198046621.415527870091950.0181438122882496
1311.3771.33886690653455-0.006227208552711741.42136030201816-0.038133093465446
1321.37061.31978926910523-0.005212530309977161.42662326120475-0.0508107308947745


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 12 ;
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')