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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 computationThu, 20 Dec 2012 10:17:07 -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/2012/Dec/20/t1356016645fic6fwka2qt6hm5.htm/, Retrieved Thu, 28 Mar 2024 09:53:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=202750, Retrieved Thu, 28 Mar 2024 09:53:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact103
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [Univariate Data Series] [Identifying Integ...] [2009-11-22 12:08:06] [b98453cac15ba1066b407e146608df68]
- RMP         [Spectral Analysis] [Births] [2010-11-29 09:38:20] [b98453cac15ba1066b407e146608df68]
- R  D          [Spectral Analysis] [WS9 3.2 CP d=0, D=0] [2010-12-07 10:39:32] [afe9379cca749d06b3d6872e02cc47ed]
-   PD            [Spectral Analysis] [Apple Inc - CP d=...] [2010-12-14 16:14:30] [afe9379cca749d06b3d6872e02cc47ed]
- RMPD              [Notched Boxplots] [] [2012-12-15 15:08:39] [d1865ed705b6ad9ba3d459a02c528b22]
- RM                    [Decomposition by Loess] [] [2012-12-20 15:17:07] [14d0a7ecb926325afa0eb6a607fbc7a0] [Current]
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Dataseries X:
26.81
28.24
27.58
27.98
26.81
28.24
27.58
27.98
27.84
27.49
26.97
27.71
27.46
27.04
28.00
27.32
26.36
26.15
25.94
24.00
24.32
23.10
22.92
23.56
22.17
22.36
19.86
20.07
19.21
19.99
20.47
21.17
21.25
21.18
21.21
21.11
21.94
22.56
23.23
19.50
19.32
19.00
18.98
19.88
19.48
19.52
19.52
19.75
19.64
20.23
20.40
20.91
21.95
21.83
22.27
21.99
21.66
20.32
20.62
20.28
20.79
22.86
22.59
23.29
21.87
21.52
22.00
27.84
27.49
26.97
27.71
27.46
27.04
28.00
27.32
26.36
26.15
25.94
24.00
24.32
23.10
22.92
23.56
22.17
22.36
19.86
20.07
19.21
19.99
20.47
21.17
21.25
21.18
21.21
21.11
21.94
22.56
23.23
19.50
19.32
19.00
18.98
19.88
19.48
19.52
19.52
19.75
19.64
20.23
20.40
20.91
21.95
21.83
22.27
21.99
21.66
20.32
20.62
20.28
20.79
22.86
22.59
23.29
21.87
21.52
22.00




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=202750&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=202750&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202750&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'Gertrude Mary Cox' @ cox.wessa.net







Seasonal Decomposition by Loess - Parameters
ComponentWindowDegreeJump
Seasonal12610127
Trend711
Low-pass511

\begin{tabular}{lllllllll}
\hline
Seasonal Decomposition by Loess - Parameters \tabularnewline
Component & Window & Degree & Jump \tabularnewline
Seasonal & 1261 & 0 & 127 \tabularnewline
Trend & 7 & 1 & 1 \tabularnewline
Low-pass & 5 & 1 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=202750&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]1261[/C][C]0[/C][C]127[/C][/ROW]
[ROW][C]Trend[/C][C]7[/C][C]1[/C][C]1[/C][/ROW]
[ROW][C]Low-pass[/C][C]5[/C][C]1[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=202750&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202750&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
Seasonal12610127
Trend711
Low-pass511







Seasonal Decomposition by Loess - Time Series Components
tObservedFittedSeasonalTrendRemainder
126.8126.2745632367982-0.068240410118304727.4136771733201-0.535436763201798
228.2428.89997638113960.06269397593570827.51732964292470.659976381139632
327.5827.5900985301617-0.036266975136251327.60616844497460.010098530161688
427.9828.2864410122240.041813272314392527.63174571546160.306441012224035
526.8126.0574982093339-0.068240410118304727.6307422007844-0.752501790666095
628.2428.76475336312890.06269397593570827.65255266093540.524753363128863
727.5827.3982519341576-0.036266975136251327.7980150409787-0.181748065842413
827.9828.09740435887950.041813272314392527.82078236880610.117404358879512
927.8428.0750857908717-0.068240410118304727.67315461924660.235085790871672
1027.4927.39942670377230.06269397593570827.517879320292-0.090573296227678
1126.9726.5498738605312-0.036266975136251327.426393114605-0.420126139468795
1227.7128.00881348062270.041813272314392527.3693732470630.298813480622652
1327.4627.5667666968174-0.068240410118304727.42147371330090.106766696817392
1427.0426.52801613715570.06269397593570827.4892898869086-0.511983862844335
152828.6775830476582-0.036266975136251327.3586839274780.677583047658207
1627.3227.49280994354710.041813272314392527.10537678413850.172809943547072
1726.3626.1138288406375-0.068240410118304726.6744115694808-0.246171159362543
1826.1526.18493241254450.06269397593570826.05237361151980.0349324125444603
1925.9426.5426048250438-0.036266975136251325.37366215009240.602604825043844
202423.25144486138960.041813272314392524.706741866296-0.748555138610417
2124.3224.7610057861438-0.068240410118304723.94723462397450.441005786143805
2223.122.63416514381410.06269397593570823.5031408802502-0.465834856185893
2322.9222.6837217404978-0.036266975136251323.1925452346384-0.236278259502168
2423.5624.2024960119280.041813272314392522.87569071575760.64249601192796
2522.1721.9891788952024-0.068240410118304722.4190615149159-0.180821104797552
2622.3623.09561557525730.06269397593570821.56169044880690.735615575257341
2719.8619.0380984695267-0.036266975136251320.7181685056095-0.821901530473284
2820.0720.07915698260550.041813272314392520.01902974508010.00915698260550712
2919.2118.6666084919422-0.068240410118304719.8216319181762-0.543391508057848
3019.9919.87772724690890.06269397593570820.0395787771554-0.112272753091119
3120.4720.5006140108614-0.036266975136251320.47565296427480.0306140108614095
3221.1721.40196589720970.041813272314392520.8962208304760.231965897209651
3321.2521.4386860253148-0.068240410118304721.12955438480350.188686025314823
3421.1821.09924536320910.06269397593570821.1980606608552-0.080754636790914
3521.2121.2052814638557-0.036266975136251321.2509855112806-0.00471853614430273
3621.1120.67542306936630.041813272314392521.5027636583193-0.434576930633661
3721.9422.0059946937217-0.068240410118304721.94224571639660.0659946937217057
3822.5622.93530376221030.06269397593570822.1220022618540.375303762210269
3923.2324.9173700362758-0.036266975136251321.57889693886041.68737003627583
4019.518.28963673649770.041813272314392520.6685499911879-1.21036326350228
4119.3219.0668852622642-0.068240410118304719.6413551478541-0.253114737735753
421918.72188949043120.06269397593570819.2154165336331-0.278110509568819
4318.9818.6990727758367-0.036266975136251319.2971941992995-0.280927224163285
4419.8820.29331184222410.041813272314392519.42487488546150.413311842224061
4519.4819.4813991587428-0.068240410118304719.54684125137550.00139915874284213
4619.5219.40810324368380.06269397593570819.5692027803805-0.111896756316181
4719.5219.4920198081346-0.036266975136251319.5842471670016-0.0279801918653924
4819.7519.76810126825730.041813272314392519.69008545942830.0181012682573147
4919.6419.4646795570521-0.068240410118304719.8835608530662-0.175320442947868
5020.2320.25455083061260.06269397593570820.14275519345170.0245508306125934
5120.420.2727790441289-0.036266975136251320.5634879310073-0.127220955871092
5220.9120.70604635487440.041813272314392521.0721403728113-0.203953645125647
5321.9522.4386576637039-0.068240410118304721.52958274641440.488657663703876
5421.8321.69934480646670.06269397593570821.8979612175976-0.130655193533283
5522.2722.5866405513586-0.036266975136251321.98962642377760.316640551358603
5621.9922.14186170245740.041813272314392521.79632502522830.151861702457353
5721.6622.0301566665965-0.068240410118304721.35808374352180.370156666596483
5820.3219.67331941628290.06269397593570820.9039866077814-0.646680583717107
5920.6220.7020141733025-0.036266975136251320.57425280183380.0820141733024613
6020.2819.75587450310590.041813272314392520.7623122245797-0.524125496894129
6120.7920.2951345836139-0.068240410118304721.3531058265044-0.494865416386073
6222.8623.61193802417350.06269397593570822.04536799989070.751938024173548
6322.5922.6324346932668-0.036266975136251322.58383228186940.0424346932668307
6423.2924.00959978898480.041813272314392522.52858693870080.719599788984791
6521.8721.5788056285762-0.068240410118304722.2294347815421-0.291194371423824
6621.5220.43464310530390.06269397593570822.5426629187604-1.08535689469612
672220.1284767031733-0.036266975136251323.907790271963-1.87152329682671
6827.8430.10235837756380.041813272314392525.53582835012182.26235837756381
6927.4928.1290540662127-0.068240410118304726.91918634390560.639054066212704
7026.9726.44776056809510.06269397593570827.4295454559692-0.522239431904872
7127.7128.0918623741887-0.036266975136251327.36440460094760.381862374188668
7227.4627.45452647411480.041813272314392527.4236602535708-0.00547352588523253
7327.0426.6593207379163-0.068240410118304727.488919672202-0.380679262083696
742828.57546980659280.06269397593570827.36183621747150.575469806592761
7527.3227.5758588135147-0.036266975136251327.10040816162160.255858813514696
7626.3626.00158859426790.041813272314392526.6765981334177-0.358411405732102
7726.1526.3162370091998-0.068240410118304726.05200340091850.16623700919979
7825.9426.4404916353490.06269397593570825.37681438871530.500491635349022
792423.3344937077588-0.036266975136251324.7017732673774-0.665506292241183
8024.3224.64876551610730.041813272314392523.94942121157830.328765516107318
8123.122.7654697363641-0.068240410118304723.5027706737542-0.33453026363587
8222.9222.58160860217360.06269397593570823.1956974218906-0.338391397826356
8323.5624.2855448346988-0.036266975136251322.87072214043740.725544834698809
8422.1721.8769386014990.041813272314392522.4212481261866-0.293061398500974
8522.3623.2269201637021-0.068240410118304721.56132024641620.866920163702055
8619.8618.93598538257320.06269397593570820.7213206414911-0.924014617426842
8720.0720.162205781778-0.036266975136251320.01406119335830.0922057817779667
8819.2118.55436817457180.041813272314392519.8238185531138-0.655631825428202
8919.9920.0090318312483-0.068240410118304720.039208578870.019031831248288
9020.4720.39850097527850.06269397593570820.4788050487858-0.0714990247215184
9121.1721.4850146727837-0.036266975136251320.89125230235250.315014672783722
9221.2521.32644568427750.041813272314392521.13174104340810.0764456842775374
9321.1821.2305499434432-0.068240410118304721.19769046667510.0505499434431904
9421.2121.10316847964340.06269397593570821.2541375444209-0.1068315203566
9521.1120.758471821342-0.036266975136251321.4977951537942-0.351528178657979
9621.9421.89375432901750.041813272314392521.9444323986681-0.0462456709825148
9722.5623.0666083383391-0.068240410118304722.12163207177920.506608338339063
9823.2324.81525710343420.06269397593570821.58204892063011.58525710343416
9919.518.372685464875-0.036266975136251320.6635815102612-1.12731453512498
10019.3218.95464487389310.041813272314392519.6435418537925-0.365355126106905
1011918.8531940624547-0.068240410118304719.2150463476636-0.146805937545331
10218.9818.59695989436570.06269397593570819.3003461296986-0.383040105634326
10319.8820.376360547003-0.036266975136251319.41990642813330.496360547002965
10419.4819.36915874670480.041813272314392519.5490279809809-0.110841253295245
10519.5219.539407811602-0.068240410118304719.56883259851630.0194078116019973
10619.5219.38990697803420.06269397593570819.5873990460301-0.130093021965806
10719.7519.8511499494378-0.036266975136251319.68511702569840.101149949437829
10819.6419.35243912134710.041813272314392519.8857476063385-0.287560878652886
10920.2320.3858553944255-0.068240410118304720.14238501569280.155855394425462
11020.420.17066626539910.06269397593570820.5666397586652-0.229333734600875
11120.9120.7890950124565-0.036266975136251321.0671719626798-0.120904987543522
11221.9522.32641720433190.041813272314392521.53176952335370.376417204331926
11321.8321.8306493661743-0.068240410118304721.8975910439440.000649366174283017
11422.2722.48452782399940.06269397593570821.99277820006480.21452782399945
11521.9922.2249103364411-0.036266975136251321.79135663869520.234910336441089
11621.6621.91791618355760.041813272314392521.3602705441280.257916183557597
11720.3219.8046239718851-0.068240410118304720.9036164382332-0.515376028114851
11820.6220.59990149731390.06269397593570820.5774045267504-0.0200985026860607
11920.2819.8389231134912-0.036266975136251320.757343861645-0.441076886508782
12020.7920.18289407702090.041813272314392521.3552926506647-0.607105922979098
12122.8623.7432425765186-0.068240410118304722.04499783359970.883242576518629
12222.5922.53032207163870.06269397593570822.5869839524256-0.0596779283612818
12323.2924.0926483825915-0.036266975136251322.52361859254480.802648382591492
12421.8721.47134595500330.041813272314392522.2268407726823-0.398654044996658
12521.5221.1708764759552-0.068240410118304721.9373639341632-0.349123524044849
1262222.30304561377140.06269397593570821.63426041029290.303045613771424

\begin{tabular}{lllllllll}
\hline
Seasonal Decomposition by Loess - Time Series Components \tabularnewline
t & Observed & Fitted & Seasonal & Trend & Remainder \tabularnewline
1 & 26.81 & 26.2745632367982 & -0.0682404101183047 & 27.4136771733201 & -0.535436763201798 \tabularnewline
2 & 28.24 & 28.8999763811396 & 0.062693975935708 & 27.5173296429247 & 0.659976381139632 \tabularnewline
3 & 27.58 & 27.5900985301617 & -0.0362669751362513 & 27.6061684449746 & 0.010098530161688 \tabularnewline
4 & 27.98 & 28.286441012224 & 0.0418132723143925 & 27.6317457154616 & 0.306441012224035 \tabularnewline
5 & 26.81 & 26.0574982093339 & -0.0682404101183047 & 27.6307422007844 & -0.752501790666095 \tabularnewline
6 & 28.24 & 28.7647533631289 & 0.062693975935708 & 27.6525526609354 & 0.524753363128863 \tabularnewline
7 & 27.58 & 27.3982519341576 & -0.0362669751362513 & 27.7980150409787 & -0.181748065842413 \tabularnewline
8 & 27.98 & 28.0974043588795 & 0.0418132723143925 & 27.8207823688061 & 0.117404358879512 \tabularnewline
9 & 27.84 & 28.0750857908717 & -0.0682404101183047 & 27.6731546192466 & 0.235085790871672 \tabularnewline
10 & 27.49 & 27.3994267037723 & 0.062693975935708 & 27.517879320292 & -0.090573296227678 \tabularnewline
11 & 26.97 & 26.5498738605312 & -0.0362669751362513 & 27.426393114605 & -0.420126139468795 \tabularnewline
12 & 27.71 & 28.0088134806227 & 0.0418132723143925 & 27.369373247063 & 0.298813480622652 \tabularnewline
13 & 27.46 & 27.5667666968174 & -0.0682404101183047 & 27.4214737133009 & 0.106766696817392 \tabularnewline
14 & 27.04 & 26.5280161371557 & 0.062693975935708 & 27.4892898869086 & -0.511983862844335 \tabularnewline
15 & 28 & 28.6775830476582 & -0.0362669751362513 & 27.358683927478 & 0.677583047658207 \tabularnewline
16 & 27.32 & 27.4928099435471 & 0.0418132723143925 & 27.1053767841385 & 0.172809943547072 \tabularnewline
17 & 26.36 & 26.1138288406375 & -0.0682404101183047 & 26.6744115694808 & -0.246171159362543 \tabularnewline
18 & 26.15 & 26.1849324125445 & 0.062693975935708 & 26.0523736115198 & 0.0349324125444603 \tabularnewline
19 & 25.94 & 26.5426048250438 & -0.0362669751362513 & 25.3736621500924 & 0.602604825043844 \tabularnewline
20 & 24 & 23.2514448613896 & 0.0418132723143925 & 24.706741866296 & -0.748555138610417 \tabularnewline
21 & 24.32 & 24.7610057861438 & -0.0682404101183047 & 23.9472346239745 & 0.441005786143805 \tabularnewline
22 & 23.1 & 22.6341651438141 & 0.062693975935708 & 23.5031408802502 & -0.465834856185893 \tabularnewline
23 & 22.92 & 22.6837217404978 & -0.0362669751362513 & 23.1925452346384 & -0.236278259502168 \tabularnewline
24 & 23.56 & 24.202496011928 & 0.0418132723143925 & 22.8756907157576 & 0.64249601192796 \tabularnewline
25 & 22.17 & 21.9891788952024 & -0.0682404101183047 & 22.4190615149159 & -0.180821104797552 \tabularnewline
26 & 22.36 & 23.0956155752573 & 0.062693975935708 & 21.5616904488069 & 0.735615575257341 \tabularnewline
27 & 19.86 & 19.0380984695267 & -0.0362669751362513 & 20.7181685056095 & -0.821901530473284 \tabularnewline
28 & 20.07 & 20.0791569826055 & 0.0418132723143925 & 20.0190297450801 & 0.00915698260550712 \tabularnewline
29 & 19.21 & 18.6666084919422 & -0.0682404101183047 & 19.8216319181762 & -0.543391508057848 \tabularnewline
30 & 19.99 & 19.8777272469089 & 0.062693975935708 & 20.0395787771554 & -0.112272753091119 \tabularnewline
31 & 20.47 & 20.5006140108614 & -0.0362669751362513 & 20.4756529642748 & 0.0306140108614095 \tabularnewline
32 & 21.17 & 21.4019658972097 & 0.0418132723143925 & 20.896220830476 & 0.231965897209651 \tabularnewline
33 & 21.25 & 21.4386860253148 & -0.0682404101183047 & 21.1295543848035 & 0.188686025314823 \tabularnewline
34 & 21.18 & 21.0992453632091 & 0.062693975935708 & 21.1980606608552 & -0.080754636790914 \tabularnewline
35 & 21.21 & 21.2052814638557 & -0.0362669751362513 & 21.2509855112806 & -0.00471853614430273 \tabularnewline
36 & 21.11 & 20.6754230693663 & 0.0418132723143925 & 21.5027636583193 & -0.434576930633661 \tabularnewline
37 & 21.94 & 22.0059946937217 & -0.0682404101183047 & 21.9422457163966 & 0.0659946937217057 \tabularnewline
38 & 22.56 & 22.9353037622103 & 0.062693975935708 & 22.122002261854 & 0.375303762210269 \tabularnewline
39 & 23.23 & 24.9173700362758 & -0.0362669751362513 & 21.5788969388604 & 1.68737003627583 \tabularnewline
40 & 19.5 & 18.2896367364977 & 0.0418132723143925 & 20.6685499911879 & -1.21036326350228 \tabularnewline
41 & 19.32 & 19.0668852622642 & -0.0682404101183047 & 19.6413551478541 & -0.253114737735753 \tabularnewline
42 & 19 & 18.7218894904312 & 0.062693975935708 & 19.2154165336331 & -0.278110509568819 \tabularnewline
43 & 18.98 & 18.6990727758367 & -0.0362669751362513 & 19.2971941992995 & -0.280927224163285 \tabularnewline
44 & 19.88 & 20.2933118422241 & 0.0418132723143925 & 19.4248748854615 & 0.413311842224061 \tabularnewline
45 & 19.48 & 19.4813991587428 & -0.0682404101183047 & 19.5468412513755 & 0.00139915874284213 \tabularnewline
46 & 19.52 & 19.4081032436838 & 0.062693975935708 & 19.5692027803805 & -0.111896756316181 \tabularnewline
47 & 19.52 & 19.4920198081346 & -0.0362669751362513 & 19.5842471670016 & -0.0279801918653924 \tabularnewline
48 & 19.75 & 19.7681012682573 & 0.0418132723143925 & 19.6900854594283 & 0.0181012682573147 \tabularnewline
49 & 19.64 & 19.4646795570521 & -0.0682404101183047 & 19.8835608530662 & -0.175320442947868 \tabularnewline
50 & 20.23 & 20.2545508306126 & 0.062693975935708 & 20.1427551934517 & 0.0245508306125934 \tabularnewline
51 & 20.4 & 20.2727790441289 & -0.0362669751362513 & 20.5634879310073 & -0.127220955871092 \tabularnewline
52 & 20.91 & 20.7060463548744 & 0.0418132723143925 & 21.0721403728113 & -0.203953645125647 \tabularnewline
53 & 21.95 & 22.4386576637039 & -0.0682404101183047 & 21.5295827464144 & 0.488657663703876 \tabularnewline
54 & 21.83 & 21.6993448064667 & 0.062693975935708 & 21.8979612175976 & -0.130655193533283 \tabularnewline
55 & 22.27 & 22.5866405513586 & -0.0362669751362513 & 21.9896264237776 & 0.316640551358603 \tabularnewline
56 & 21.99 & 22.1418617024574 & 0.0418132723143925 & 21.7963250252283 & 0.151861702457353 \tabularnewline
57 & 21.66 & 22.0301566665965 & -0.0682404101183047 & 21.3580837435218 & 0.370156666596483 \tabularnewline
58 & 20.32 & 19.6733194162829 & 0.062693975935708 & 20.9039866077814 & -0.646680583717107 \tabularnewline
59 & 20.62 & 20.7020141733025 & -0.0362669751362513 & 20.5742528018338 & 0.0820141733024613 \tabularnewline
60 & 20.28 & 19.7558745031059 & 0.0418132723143925 & 20.7623122245797 & -0.524125496894129 \tabularnewline
61 & 20.79 & 20.2951345836139 & -0.0682404101183047 & 21.3531058265044 & -0.494865416386073 \tabularnewline
62 & 22.86 & 23.6119380241735 & 0.062693975935708 & 22.0453679998907 & 0.751938024173548 \tabularnewline
63 & 22.59 & 22.6324346932668 & -0.0362669751362513 & 22.5838322818694 & 0.0424346932668307 \tabularnewline
64 & 23.29 & 24.0095997889848 & 0.0418132723143925 & 22.5285869387008 & 0.719599788984791 \tabularnewline
65 & 21.87 & 21.5788056285762 & -0.0682404101183047 & 22.2294347815421 & -0.291194371423824 \tabularnewline
66 & 21.52 & 20.4346431053039 & 0.062693975935708 & 22.5426629187604 & -1.08535689469612 \tabularnewline
67 & 22 & 20.1284767031733 & -0.0362669751362513 & 23.907790271963 & -1.87152329682671 \tabularnewline
68 & 27.84 & 30.1023583775638 & 0.0418132723143925 & 25.5358283501218 & 2.26235837756381 \tabularnewline
69 & 27.49 & 28.1290540662127 & -0.0682404101183047 & 26.9191863439056 & 0.639054066212704 \tabularnewline
70 & 26.97 & 26.4477605680951 & 0.062693975935708 & 27.4295454559692 & -0.522239431904872 \tabularnewline
71 & 27.71 & 28.0918623741887 & -0.0362669751362513 & 27.3644046009476 & 0.381862374188668 \tabularnewline
72 & 27.46 & 27.4545264741148 & 0.0418132723143925 & 27.4236602535708 & -0.00547352588523253 \tabularnewline
73 & 27.04 & 26.6593207379163 & -0.0682404101183047 & 27.488919672202 & -0.380679262083696 \tabularnewline
74 & 28 & 28.5754698065928 & 0.062693975935708 & 27.3618362174715 & 0.575469806592761 \tabularnewline
75 & 27.32 & 27.5758588135147 & -0.0362669751362513 & 27.1004081616216 & 0.255858813514696 \tabularnewline
76 & 26.36 & 26.0015885942679 & 0.0418132723143925 & 26.6765981334177 & -0.358411405732102 \tabularnewline
77 & 26.15 & 26.3162370091998 & -0.0682404101183047 & 26.0520034009185 & 0.16623700919979 \tabularnewline
78 & 25.94 & 26.440491635349 & 0.062693975935708 & 25.3768143887153 & 0.500491635349022 \tabularnewline
79 & 24 & 23.3344937077588 & -0.0362669751362513 & 24.7017732673774 & -0.665506292241183 \tabularnewline
80 & 24.32 & 24.6487655161073 & 0.0418132723143925 & 23.9494212115783 & 0.328765516107318 \tabularnewline
81 & 23.1 & 22.7654697363641 & -0.0682404101183047 & 23.5027706737542 & -0.33453026363587 \tabularnewline
82 & 22.92 & 22.5816086021736 & 0.062693975935708 & 23.1956974218906 & -0.338391397826356 \tabularnewline
83 & 23.56 & 24.2855448346988 & -0.0362669751362513 & 22.8707221404374 & 0.725544834698809 \tabularnewline
84 & 22.17 & 21.876938601499 & 0.0418132723143925 & 22.4212481261866 & -0.293061398500974 \tabularnewline
85 & 22.36 & 23.2269201637021 & -0.0682404101183047 & 21.5613202464162 & 0.866920163702055 \tabularnewline
86 & 19.86 & 18.9359853825732 & 0.062693975935708 & 20.7213206414911 & -0.924014617426842 \tabularnewline
87 & 20.07 & 20.162205781778 & -0.0362669751362513 & 20.0140611933583 & 0.0922057817779667 \tabularnewline
88 & 19.21 & 18.5543681745718 & 0.0418132723143925 & 19.8238185531138 & -0.655631825428202 \tabularnewline
89 & 19.99 & 20.0090318312483 & -0.0682404101183047 & 20.03920857887 & 0.019031831248288 \tabularnewline
90 & 20.47 & 20.3985009752785 & 0.062693975935708 & 20.4788050487858 & -0.0714990247215184 \tabularnewline
91 & 21.17 & 21.4850146727837 & -0.0362669751362513 & 20.8912523023525 & 0.315014672783722 \tabularnewline
92 & 21.25 & 21.3264456842775 & 0.0418132723143925 & 21.1317410434081 & 0.0764456842775374 \tabularnewline
93 & 21.18 & 21.2305499434432 & -0.0682404101183047 & 21.1976904666751 & 0.0505499434431904 \tabularnewline
94 & 21.21 & 21.1031684796434 & 0.062693975935708 & 21.2541375444209 & -0.1068315203566 \tabularnewline
95 & 21.11 & 20.758471821342 & -0.0362669751362513 & 21.4977951537942 & -0.351528178657979 \tabularnewline
96 & 21.94 & 21.8937543290175 & 0.0418132723143925 & 21.9444323986681 & -0.0462456709825148 \tabularnewline
97 & 22.56 & 23.0666083383391 & -0.0682404101183047 & 22.1216320717792 & 0.506608338339063 \tabularnewline
98 & 23.23 & 24.8152571034342 & 0.062693975935708 & 21.5820489206301 & 1.58525710343416 \tabularnewline
99 & 19.5 & 18.372685464875 & -0.0362669751362513 & 20.6635815102612 & -1.12731453512498 \tabularnewline
100 & 19.32 & 18.9546448738931 & 0.0418132723143925 & 19.6435418537925 & -0.365355126106905 \tabularnewline
101 & 19 & 18.8531940624547 & -0.0682404101183047 & 19.2150463476636 & -0.146805937545331 \tabularnewline
102 & 18.98 & 18.5969598943657 & 0.062693975935708 & 19.3003461296986 & -0.383040105634326 \tabularnewline
103 & 19.88 & 20.376360547003 & -0.0362669751362513 & 19.4199064281333 & 0.496360547002965 \tabularnewline
104 & 19.48 & 19.3691587467048 & 0.0418132723143925 & 19.5490279809809 & -0.110841253295245 \tabularnewline
105 & 19.52 & 19.539407811602 & -0.0682404101183047 & 19.5688325985163 & 0.0194078116019973 \tabularnewline
106 & 19.52 & 19.3899069780342 & 0.062693975935708 & 19.5873990460301 & -0.130093021965806 \tabularnewline
107 & 19.75 & 19.8511499494378 & -0.0362669751362513 & 19.6851170256984 & 0.101149949437829 \tabularnewline
108 & 19.64 & 19.3524391213471 & 0.0418132723143925 & 19.8857476063385 & -0.287560878652886 \tabularnewline
109 & 20.23 & 20.3858553944255 & -0.0682404101183047 & 20.1423850156928 & 0.155855394425462 \tabularnewline
110 & 20.4 & 20.1706662653991 & 0.062693975935708 & 20.5666397586652 & -0.229333734600875 \tabularnewline
111 & 20.91 & 20.7890950124565 & -0.0362669751362513 & 21.0671719626798 & -0.120904987543522 \tabularnewline
112 & 21.95 & 22.3264172043319 & 0.0418132723143925 & 21.5317695233537 & 0.376417204331926 \tabularnewline
113 & 21.83 & 21.8306493661743 & -0.0682404101183047 & 21.897591043944 & 0.000649366174283017 \tabularnewline
114 & 22.27 & 22.4845278239994 & 0.062693975935708 & 21.9927782000648 & 0.21452782399945 \tabularnewline
115 & 21.99 & 22.2249103364411 & -0.0362669751362513 & 21.7913566386952 & 0.234910336441089 \tabularnewline
116 & 21.66 & 21.9179161835576 & 0.0418132723143925 & 21.360270544128 & 0.257916183557597 \tabularnewline
117 & 20.32 & 19.8046239718851 & -0.0682404101183047 & 20.9036164382332 & -0.515376028114851 \tabularnewline
118 & 20.62 & 20.5999014973139 & 0.062693975935708 & 20.5774045267504 & -0.0200985026860607 \tabularnewline
119 & 20.28 & 19.8389231134912 & -0.0362669751362513 & 20.757343861645 & -0.441076886508782 \tabularnewline
120 & 20.79 & 20.1828940770209 & 0.0418132723143925 & 21.3552926506647 & -0.607105922979098 \tabularnewline
121 & 22.86 & 23.7432425765186 & -0.0682404101183047 & 22.0449978335997 & 0.883242576518629 \tabularnewline
122 & 22.59 & 22.5303220716387 & 0.062693975935708 & 22.5869839524256 & -0.0596779283612818 \tabularnewline
123 & 23.29 & 24.0926483825915 & -0.0362669751362513 & 22.5236185925448 & 0.802648382591492 \tabularnewline
124 & 21.87 & 21.4713459550033 & 0.0418132723143925 & 22.2268407726823 & -0.398654044996658 \tabularnewline
125 & 21.52 & 21.1708764759552 & -0.0682404101183047 & 21.9373639341632 & -0.349123524044849 \tabularnewline
126 & 22 & 22.3030456137714 & 0.062693975935708 & 21.6342604102929 & 0.303045613771424 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=202750&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]26.81[/C][C]26.2745632367982[/C][C]-0.0682404101183047[/C][C]27.4136771733201[/C][C]-0.535436763201798[/C][/ROW]
[ROW][C]2[/C][C]28.24[/C][C]28.8999763811396[/C][C]0.062693975935708[/C][C]27.5173296429247[/C][C]0.659976381139632[/C][/ROW]
[ROW][C]3[/C][C]27.58[/C][C]27.5900985301617[/C][C]-0.0362669751362513[/C][C]27.6061684449746[/C][C]0.010098530161688[/C][/ROW]
[ROW][C]4[/C][C]27.98[/C][C]28.286441012224[/C][C]0.0418132723143925[/C][C]27.6317457154616[/C][C]0.306441012224035[/C][/ROW]
[ROW][C]5[/C][C]26.81[/C][C]26.0574982093339[/C][C]-0.0682404101183047[/C][C]27.6307422007844[/C][C]-0.752501790666095[/C][/ROW]
[ROW][C]6[/C][C]28.24[/C][C]28.7647533631289[/C][C]0.062693975935708[/C][C]27.6525526609354[/C][C]0.524753363128863[/C][/ROW]
[ROW][C]7[/C][C]27.58[/C][C]27.3982519341576[/C][C]-0.0362669751362513[/C][C]27.7980150409787[/C][C]-0.181748065842413[/C][/ROW]
[ROW][C]8[/C][C]27.98[/C][C]28.0974043588795[/C][C]0.0418132723143925[/C][C]27.8207823688061[/C][C]0.117404358879512[/C][/ROW]
[ROW][C]9[/C][C]27.84[/C][C]28.0750857908717[/C][C]-0.0682404101183047[/C][C]27.6731546192466[/C][C]0.235085790871672[/C][/ROW]
[ROW][C]10[/C][C]27.49[/C][C]27.3994267037723[/C][C]0.062693975935708[/C][C]27.517879320292[/C][C]-0.090573296227678[/C][/ROW]
[ROW][C]11[/C][C]26.97[/C][C]26.5498738605312[/C][C]-0.0362669751362513[/C][C]27.426393114605[/C][C]-0.420126139468795[/C][/ROW]
[ROW][C]12[/C][C]27.71[/C][C]28.0088134806227[/C][C]0.0418132723143925[/C][C]27.369373247063[/C][C]0.298813480622652[/C][/ROW]
[ROW][C]13[/C][C]27.46[/C][C]27.5667666968174[/C][C]-0.0682404101183047[/C][C]27.4214737133009[/C][C]0.106766696817392[/C][/ROW]
[ROW][C]14[/C][C]27.04[/C][C]26.5280161371557[/C][C]0.062693975935708[/C][C]27.4892898869086[/C][C]-0.511983862844335[/C][/ROW]
[ROW][C]15[/C][C]28[/C][C]28.6775830476582[/C][C]-0.0362669751362513[/C][C]27.358683927478[/C][C]0.677583047658207[/C][/ROW]
[ROW][C]16[/C][C]27.32[/C][C]27.4928099435471[/C][C]0.0418132723143925[/C][C]27.1053767841385[/C][C]0.172809943547072[/C][/ROW]
[ROW][C]17[/C][C]26.36[/C][C]26.1138288406375[/C][C]-0.0682404101183047[/C][C]26.6744115694808[/C][C]-0.246171159362543[/C][/ROW]
[ROW][C]18[/C][C]26.15[/C][C]26.1849324125445[/C][C]0.062693975935708[/C][C]26.0523736115198[/C][C]0.0349324125444603[/C][/ROW]
[ROW][C]19[/C][C]25.94[/C][C]26.5426048250438[/C][C]-0.0362669751362513[/C][C]25.3736621500924[/C][C]0.602604825043844[/C][/ROW]
[ROW][C]20[/C][C]24[/C][C]23.2514448613896[/C][C]0.0418132723143925[/C][C]24.706741866296[/C][C]-0.748555138610417[/C][/ROW]
[ROW][C]21[/C][C]24.32[/C][C]24.7610057861438[/C][C]-0.0682404101183047[/C][C]23.9472346239745[/C][C]0.441005786143805[/C][/ROW]
[ROW][C]22[/C][C]23.1[/C][C]22.6341651438141[/C][C]0.062693975935708[/C][C]23.5031408802502[/C][C]-0.465834856185893[/C][/ROW]
[ROW][C]23[/C][C]22.92[/C][C]22.6837217404978[/C][C]-0.0362669751362513[/C][C]23.1925452346384[/C][C]-0.236278259502168[/C][/ROW]
[ROW][C]24[/C][C]23.56[/C][C]24.202496011928[/C][C]0.0418132723143925[/C][C]22.8756907157576[/C][C]0.64249601192796[/C][/ROW]
[ROW][C]25[/C][C]22.17[/C][C]21.9891788952024[/C][C]-0.0682404101183047[/C][C]22.4190615149159[/C][C]-0.180821104797552[/C][/ROW]
[ROW][C]26[/C][C]22.36[/C][C]23.0956155752573[/C][C]0.062693975935708[/C][C]21.5616904488069[/C][C]0.735615575257341[/C][/ROW]
[ROW][C]27[/C][C]19.86[/C][C]19.0380984695267[/C][C]-0.0362669751362513[/C][C]20.7181685056095[/C][C]-0.821901530473284[/C][/ROW]
[ROW][C]28[/C][C]20.07[/C][C]20.0791569826055[/C][C]0.0418132723143925[/C][C]20.0190297450801[/C][C]0.00915698260550712[/C][/ROW]
[ROW][C]29[/C][C]19.21[/C][C]18.6666084919422[/C][C]-0.0682404101183047[/C][C]19.8216319181762[/C][C]-0.543391508057848[/C][/ROW]
[ROW][C]30[/C][C]19.99[/C][C]19.8777272469089[/C][C]0.062693975935708[/C][C]20.0395787771554[/C][C]-0.112272753091119[/C][/ROW]
[ROW][C]31[/C][C]20.47[/C][C]20.5006140108614[/C][C]-0.0362669751362513[/C][C]20.4756529642748[/C][C]0.0306140108614095[/C][/ROW]
[ROW][C]32[/C][C]21.17[/C][C]21.4019658972097[/C][C]0.0418132723143925[/C][C]20.896220830476[/C][C]0.231965897209651[/C][/ROW]
[ROW][C]33[/C][C]21.25[/C][C]21.4386860253148[/C][C]-0.0682404101183047[/C][C]21.1295543848035[/C][C]0.188686025314823[/C][/ROW]
[ROW][C]34[/C][C]21.18[/C][C]21.0992453632091[/C][C]0.062693975935708[/C][C]21.1980606608552[/C][C]-0.080754636790914[/C][/ROW]
[ROW][C]35[/C][C]21.21[/C][C]21.2052814638557[/C][C]-0.0362669751362513[/C][C]21.2509855112806[/C][C]-0.00471853614430273[/C][/ROW]
[ROW][C]36[/C][C]21.11[/C][C]20.6754230693663[/C][C]0.0418132723143925[/C][C]21.5027636583193[/C][C]-0.434576930633661[/C][/ROW]
[ROW][C]37[/C][C]21.94[/C][C]22.0059946937217[/C][C]-0.0682404101183047[/C][C]21.9422457163966[/C][C]0.0659946937217057[/C][/ROW]
[ROW][C]38[/C][C]22.56[/C][C]22.9353037622103[/C][C]0.062693975935708[/C][C]22.122002261854[/C][C]0.375303762210269[/C][/ROW]
[ROW][C]39[/C][C]23.23[/C][C]24.9173700362758[/C][C]-0.0362669751362513[/C][C]21.5788969388604[/C][C]1.68737003627583[/C][/ROW]
[ROW][C]40[/C][C]19.5[/C][C]18.2896367364977[/C][C]0.0418132723143925[/C][C]20.6685499911879[/C][C]-1.21036326350228[/C][/ROW]
[ROW][C]41[/C][C]19.32[/C][C]19.0668852622642[/C][C]-0.0682404101183047[/C][C]19.6413551478541[/C][C]-0.253114737735753[/C][/ROW]
[ROW][C]42[/C][C]19[/C][C]18.7218894904312[/C][C]0.062693975935708[/C][C]19.2154165336331[/C][C]-0.278110509568819[/C][/ROW]
[ROW][C]43[/C][C]18.98[/C][C]18.6990727758367[/C][C]-0.0362669751362513[/C][C]19.2971941992995[/C][C]-0.280927224163285[/C][/ROW]
[ROW][C]44[/C][C]19.88[/C][C]20.2933118422241[/C][C]0.0418132723143925[/C][C]19.4248748854615[/C][C]0.413311842224061[/C][/ROW]
[ROW][C]45[/C][C]19.48[/C][C]19.4813991587428[/C][C]-0.0682404101183047[/C][C]19.5468412513755[/C][C]0.00139915874284213[/C][/ROW]
[ROW][C]46[/C][C]19.52[/C][C]19.4081032436838[/C][C]0.062693975935708[/C][C]19.5692027803805[/C][C]-0.111896756316181[/C][/ROW]
[ROW][C]47[/C][C]19.52[/C][C]19.4920198081346[/C][C]-0.0362669751362513[/C][C]19.5842471670016[/C][C]-0.0279801918653924[/C][/ROW]
[ROW][C]48[/C][C]19.75[/C][C]19.7681012682573[/C][C]0.0418132723143925[/C][C]19.6900854594283[/C][C]0.0181012682573147[/C][/ROW]
[ROW][C]49[/C][C]19.64[/C][C]19.4646795570521[/C][C]-0.0682404101183047[/C][C]19.8835608530662[/C][C]-0.175320442947868[/C][/ROW]
[ROW][C]50[/C][C]20.23[/C][C]20.2545508306126[/C][C]0.062693975935708[/C][C]20.1427551934517[/C][C]0.0245508306125934[/C][/ROW]
[ROW][C]51[/C][C]20.4[/C][C]20.2727790441289[/C][C]-0.0362669751362513[/C][C]20.5634879310073[/C][C]-0.127220955871092[/C][/ROW]
[ROW][C]52[/C][C]20.91[/C][C]20.7060463548744[/C][C]0.0418132723143925[/C][C]21.0721403728113[/C][C]-0.203953645125647[/C][/ROW]
[ROW][C]53[/C][C]21.95[/C][C]22.4386576637039[/C][C]-0.0682404101183047[/C][C]21.5295827464144[/C][C]0.488657663703876[/C][/ROW]
[ROW][C]54[/C][C]21.83[/C][C]21.6993448064667[/C][C]0.062693975935708[/C][C]21.8979612175976[/C][C]-0.130655193533283[/C][/ROW]
[ROW][C]55[/C][C]22.27[/C][C]22.5866405513586[/C][C]-0.0362669751362513[/C][C]21.9896264237776[/C][C]0.316640551358603[/C][/ROW]
[ROW][C]56[/C][C]21.99[/C][C]22.1418617024574[/C][C]0.0418132723143925[/C][C]21.7963250252283[/C][C]0.151861702457353[/C][/ROW]
[ROW][C]57[/C][C]21.66[/C][C]22.0301566665965[/C][C]-0.0682404101183047[/C][C]21.3580837435218[/C][C]0.370156666596483[/C][/ROW]
[ROW][C]58[/C][C]20.32[/C][C]19.6733194162829[/C][C]0.062693975935708[/C][C]20.9039866077814[/C][C]-0.646680583717107[/C][/ROW]
[ROW][C]59[/C][C]20.62[/C][C]20.7020141733025[/C][C]-0.0362669751362513[/C][C]20.5742528018338[/C][C]0.0820141733024613[/C][/ROW]
[ROW][C]60[/C][C]20.28[/C][C]19.7558745031059[/C][C]0.0418132723143925[/C][C]20.7623122245797[/C][C]-0.524125496894129[/C][/ROW]
[ROW][C]61[/C][C]20.79[/C][C]20.2951345836139[/C][C]-0.0682404101183047[/C][C]21.3531058265044[/C][C]-0.494865416386073[/C][/ROW]
[ROW][C]62[/C][C]22.86[/C][C]23.6119380241735[/C][C]0.062693975935708[/C][C]22.0453679998907[/C][C]0.751938024173548[/C][/ROW]
[ROW][C]63[/C][C]22.59[/C][C]22.6324346932668[/C][C]-0.0362669751362513[/C][C]22.5838322818694[/C][C]0.0424346932668307[/C][/ROW]
[ROW][C]64[/C][C]23.29[/C][C]24.0095997889848[/C][C]0.0418132723143925[/C][C]22.5285869387008[/C][C]0.719599788984791[/C][/ROW]
[ROW][C]65[/C][C]21.87[/C][C]21.5788056285762[/C][C]-0.0682404101183047[/C][C]22.2294347815421[/C][C]-0.291194371423824[/C][/ROW]
[ROW][C]66[/C][C]21.52[/C][C]20.4346431053039[/C][C]0.062693975935708[/C][C]22.5426629187604[/C][C]-1.08535689469612[/C][/ROW]
[ROW][C]67[/C][C]22[/C][C]20.1284767031733[/C][C]-0.0362669751362513[/C][C]23.907790271963[/C][C]-1.87152329682671[/C][/ROW]
[ROW][C]68[/C][C]27.84[/C][C]30.1023583775638[/C][C]0.0418132723143925[/C][C]25.5358283501218[/C][C]2.26235837756381[/C][/ROW]
[ROW][C]69[/C][C]27.49[/C][C]28.1290540662127[/C][C]-0.0682404101183047[/C][C]26.9191863439056[/C][C]0.639054066212704[/C][/ROW]
[ROW][C]70[/C][C]26.97[/C][C]26.4477605680951[/C][C]0.062693975935708[/C][C]27.4295454559692[/C][C]-0.522239431904872[/C][/ROW]
[ROW][C]71[/C][C]27.71[/C][C]28.0918623741887[/C][C]-0.0362669751362513[/C][C]27.3644046009476[/C][C]0.381862374188668[/C][/ROW]
[ROW][C]72[/C][C]27.46[/C][C]27.4545264741148[/C][C]0.0418132723143925[/C][C]27.4236602535708[/C][C]-0.00547352588523253[/C][/ROW]
[ROW][C]73[/C][C]27.04[/C][C]26.6593207379163[/C][C]-0.0682404101183047[/C][C]27.488919672202[/C][C]-0.380679262083696[/C][/ROW]
[ROW][C]74[/C][C]28[/C][C]28.5754698065928[/C][C]0.062693975935708[/C][C]27.3618362174715[/C][C]0.575469806592761[/C][/ROW]
[ROW][C]75[/C][C]27.32[/C][C]27.5758588135147[/C][C]-0.0362669751362513[/C][C]27.1004081616216[/C][C]0.255858813514696[/C][/ROW]
[ROW][C]76[/C][C]26.36[/C][C]26.0015885942679[/C][C]0.0418132723143925[/C][C]26.6765981334177[/C][C]-0.358411405732102[/C][/ROW]
[ROW][C]77[/C][C]26.15[/C][C]26.3162370091998[/C][C]-0.0682404101183047[/C][C]26.0520034009185[/C][C]0.16623700919979[/C][/ROW]
[ROW][C]78[/C][C]25.94[/C][C]26.440491635349[/C][C]0.062693975935708[/C][C]25.3768143887153[/C][C]0.500491635349022[/C][/ROW]
[ROW][C]79[/C][C]24[/C][C]23.3344937077588[/C][C]-0.0362669751362513[/C][C]24.7017732673774[/C][C]-0.665506292241183[/C][/ROW]
[ROW][C]80[/C][C]24.32[/C][C]24.6487655161073[/C][C]0.0418132723143925[/C][C]23.9494212115783[/C][C]0.328765516107318[/C][/ROW]
[ROW][C]81[/C][C]23.1[/C][C]22.7654697363641[/C][C]-0.0682404101183047[/C][C]23.5027706737542[/C][C]-0.33453026363587[/C][/ROW]
[ROW][C]82[/C][C]22.92[/C][C]22.5816086021736[/C][C]0.062693975935708[/C][C]23.1956974218906[/C][C]-0.338391397826356[/C][/ROW]
[ROW][C]83[/C][C]23.56[/C][C]24.2855448346988[/C][C]-0.0362669751362513[/C][C]22.8707221404374[/C][C]0.725544834698809[/C][/ROW]
[ROW][C]84[/C][C]22.17[/C][C]21.876938601499[/C][C]0.0418132723143925[/C][C]22.4212481261866[/C][C]-0.293061398500974[/C][/ROW]
[ROW][C]85[/C][C]22.36[/C][C]23.2269201637021[/C][C]-0.0682404101183047[/C][C]21.5613202464162[/C][C]0.866920163702055[/C][/ROW]
[ROW][C]86[/C][C]19.86[/C][C]18.9359853825732[/C][C]0.062693975935708[/C][C]20.7213206414911[/C][C]-0.924014617426842[/C][/ROW]
[ROW][C]87[/C][C]20.07[/C][C]20.162205781778[/C][C]-0.0362669751362513[/C][C]20.0140611933583[/C][C]0.0922057817779667[/C][/ROW]
[ROW][C]88[/C][C]19.21[/C][C]18.5543681745718[/C][C]0.0418132723143925[/C][C]19.8238185531138[/C][C]-0.655631825428202[/C][/ROW]
[ROW][C]89[/C][C]19.99[/C][C]20.0090318312483[/C][C]-0.0682404101183047[/C][C]20.03920857887[/C][C]0.019031831248288[/C][/ROW]
[ROW][C]90[/C][C]20.47[/C][C]20.3985009752785[/C][C]0.062693975935708[/C][C]20.4788050487858[/C][C]-0.0714990247215184[/C][/ROW]
[ROW][C]91[/C][C]21.17[/C][C]21.4850146727837[/C][C]-0.0362669751362513[/C][C]20.8912523023525[/C][C]0.315014672783722[/C][/ROW]
[ROW][C]92[/C][C]21.25[/C][C]21.3264456842775[/C][C]0.0418132723143925[/C][C]21.1317410434081[/C][C]0.0764456842775374[/C][/ROW]
[ROW][C]93[/C][C]21.18[/C][C]21.2305499434432[/C][C]-0.0682404101183047[/C][C]21.1976904666751[/C][C]0.0505499434431904[/C][/ROW]
[ROW][C]94[/C][C]21.21[/C][C]21.1031684796434[/C][C]0.062693975935708[/C][C]21.2541375444209[/C][C]-0.1068315203566[/C][/ROW]
[ROW][C]95[/C][C]21.11[/C][C]20.758471821342[/C][C]-0.0362669751362513[/C][C]21.4977951537942[/C][C]-0.351528178657979[/C][/ROW]
[ROW][C]96[/C][C]21.94[/C][C]21.8937543290175[/C][C]0.0418132723143925[/C][C]21.9444323986681[/C][C]-0.0462456709825148[/C][/ROW]
[ROW][C]97[/C][C]22.56[/C][C]23.0666083383391[/C][C]-0.0682404101183047[/C][C]22.1216320717792[/C][C]0.506608338339063[/C][/ROW]
[ROW][C]98[/C][C]23.23[/C][C]24.8152571034342[/C][C]0.062693975935708[/C][C]21.5820489206301[/C][C]1.58525710343416[/C][/ROW]
[ROW][C]99[/C][C]19.5[/C][C]18.372685464875[/C][C]-0.0362669751362513[/C][C]20.6635815102612[/C][C]-1.12731453512498[/C][/ROW]
[ROW][C]100[/C][C]19.32[/C][C]18.9546448738931[/C][C]0.0418132723143925[/C][C]19.6435418537925[/C][C]-0.365355126106905[/C][/ROW]
[ROW][C]101[/C][C]19[/C][C]18.8531940624547[/C][C]-0.0682404101183047[/C][C]19.2150463476636[/C][C]-0.146805937545331[/C][/ROW]
[ROW][C]102[/C][C]18.98[/C][C]18.5969598943657[/C][C]0.062693975935708[/C][C]19.3003461296986[/C][C]-0.383040105634326[/C][/ROW]
[ROW][C]103[/C][C]19.88[/C][C]20.376360547003[/C][C]-0.0362669751362513[/C][C]19.4199064281333[/C][C]0.496360547002965[/C][/ROW]
[ROW][C]104[/C][C]19.48[/C][C]19.3691587467048[/C][C]0.0418132723143925[/C][C]19.5490279809809[/C][C]-0.110841253295245[/C][/ROW]
[ROW][C]105[/C][C]19.52[/C][C]19.539407811602[/C][C]-0.0682404101183047[/C][C]19.5688325985163[/C][C]0.0194078116019973[/C][/ROW]
[ROW][C]106[/C][C]19.52[/C][C]19.3899069780342[/C][C]0.062693975935708[/C][C]19.5873990460301[/C][C]-0.130093021965806[/C][/ROW]
[ROW][C]107[/C][C]19.75[/C][C]19.8511499494378[/C][C]-0.0362669751362513[/C][C]19.6851170256984[/C][C]0.101149949437829[/C][/ROW]
[ROW][C]108[/C][C]19.64[/C][C]19.3524391213471[/C][C]0.0418132723143925[/C][C]19.8857476063385[/C][C]-0.287560878652886[/C][/ROW]
[ROW][C]109[/C][C]20.23[/C][C]20.3858553944255[/C][C]-0.0682404101183047[/C][C]20.1423850156928[/C][C]0.155855394425462[/C][/ROW]
[ROW][C]110[/C][C]20.4[/C][C]20.1706662653991[/C][C]0.062693975935708[/C][C]20.5666397586652[/C][C]-0.229333734600875[/C][/ROW]
[ROW][C]111[/C][C]20.91[/C][C]20.7890950124565[/C][C]-0.0362669751362513[/C][C]21.0671719626798[/C][C]-0.120904987543522[/C][/ROW]
[ROW][C]112[/C][C]21.95[/C][C]22.3264172043319[/C][C]0.0418132723143925[/C][C]21.5317695233537[/C][C]0.376417204331926[/C][/ROW]
[ROW][C]113[/C][C]21.83[/C][C]21.8306493661743[/C][C]-0.0682404101183047[/C][C]21.897591043944[/C][C]0.000649366174283017[/C][/ROW]
[ROW][C]114[/C][C]22.27[/C][C]22.4845278239994[/C][C]0.062693975935708[/C][C]21.9927782000648[/C][C]0.21452782399945[/C][/ROW]
[ROW][C]115[/C][C]21.99[/C][C]22.2249103364411[/C][C]-0.0362669751362513[/C][C]21.7913566386952[/C][C]0.234910336441089[/C][/ROW]
[ROW][C]116[/C][C]21.66[/C][C]21.9179161835576[/C][C]0.0418132723143925[/C][C]21.360270544128[/C][C]0.257916183557597[/C][/ROW]
[ROW][C]117[/C][C]20.32[/C][C]19.8046239718851[/C][C]-0.0682404101183047[/C][C]20.9036164382332[/C][C]-0.515376028114851[/C][/ROW]
[ROW][C]118[/C][C]20.62[/C][C]20.5999014973139[/C][C]0.062693975935708[/C][C]20.5774045267504[/C][C]-0.0200985026860607[/C][/ROW]
[ROW][C]119[/C][C]20.28[/C][C]19.8389231134912[/C][C]-0.0362669751362513[/C][C]20.757343861645[/C][C]-0.441076886508782[/C][/ROW]
[ROW][C]120[/C][C]20.79[/C][C]20.1828940770209[/C][C]0.0418132723143925[/C][C]21.3552926506647[/C][C]-0.607105922979098[/C][/ROW]
[ROW][C]121[/C][C]22.86[/C][C]23.7432425765186[/C][C]-0.0682404101183047[/C][C]22.0449978335997[/C][C]0.883242576518629[/C][/ROW]
[ROW][C]122[/C][C]22.59[/C][C]22.5303220716387[/C][C]0.062693975935708[/C][C]22.5869839524256[/C][C]-0.0596779283612818[/C][/ROW]
[ROW][C]123[/C][C]23.29[/C][C]24.0926483825915[/C][C]-0.0362669751362513[/C][C]22.5236185925448[/C][C]0.802648382591492[/C][/ROW]
[ROW][C]124[/C][C]21.87[/C][C]21.4713459550033[/C][C]0.0418132723143925[/C][C]22.2268407726823[/C][C]-0.398654044996658[/C][/ROW]
[ROW][C]125[/C][C]21.52[/C][C]21.1708764759552[/C][C]-0.0682404101183047[/C][C]21.9373639341632[/C][C]-0.349123524044849[/C][/ROW]
[ROW][C]126[/C][C]22[/C][C]22.3030456137714[/C][C]0.062693975935708[/C][C]21.6342604102929[/C][C]0.303045613771424[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=202750&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202750&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
126.8126.2745632367982-0.068240410118304727.4136771733201-0.535436763201798
228.2428.89997638113960.06269397593570827.51732964292470.659976381139632
327.5827.5900985301617-0.036266975136251327.60616844497460.010098530161688
427.9828.2864410122240.041813272314392527.63174571546160.306441012224035
526.8126.0574982093339-0.068240410118304727.6307422007844-0.752501790666095
628.2428.76475336312890.06269397593570827.65255266093540.524753363128863
727.5827.3982519341576-0.036266975136251327.7980150409787-0.181748065842413
827.9828.09740435887950.041813272314392527.82078236880610.117404358879512
927.8428.0750857908717-0.068240410118304727.67315461924660.235085790871672
1027.4927.39942670377230.06269397593570827.517879320292-0.090573296227678
1126.9726.5498738605312-0.036266975136251327.426393114605-0.420126139468795
1227.7128.00881348062270.041813272314392527.3693732470630.298813480622652
1327.4627.5667666968174-0.068240410118304727.42147371330090.106766696817392
1427.0426.52801613715570.06269397593570827.4892898869086-0.511983862844335
152828.6775830476582-0.036266975136251327.3586839274780.677583047658207
1627.3227.49280994354710.041813272314392527.10537678413850.172809943547072
1726.3626.1138288406375-0.068240410118304726.6744115694808-0.246171159362543
1826.1526.18493241254450.06269397593570826.05237361151980.0349324125444603
1925.9426.5426048250438-0.036266975136251325.37366215009240.602604825043844
202423.25144486138960.041813272314392524.706741866296-0.748555138610417
2124.3224.7610057861438-0.068240410118304723.94723462397450.441005786143805
2223.122.63416514381410.06269397593570823.5031408802502-0.465834856185893
2322.9222.6837217404978-0.036266975136251323.1925452346384-0.236278259502168
2423.5624.2024960119280.041813272314392522.87569071575760.64249601192796
2522.1721.9891788952024-0.068240410118304722.4190615149159-0.180821104797552
2622.3623.09561557525730.06269397593570821.56169044880690.735615575257341
2719.8619.0380984695267-0.036266975136251320.7181685056095-0.821901530473284
2820.0720.07915698260550.041813272314392520.01902974508010.00915698260550712
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1262222.30304561377140.06269397593570821.63426041029290.303045613771424



Parameters (Session):
par1 = grey ;
Parameters (R input):
par1 = 4 ; 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')