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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 computationWed, 10 Dec 2014 15:35:01 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/10/t1418225822v7do9s0vwifx92v.htm/, Retrieved Sat, 11 May 2024 15:14:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265400, Retrieved Sat, 11 May 2024 15:14:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact94
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         [Classical Decomposition] [Births] [2010-11-30 13:45:46] [b98453cac15ba1066b407e146608df68]
- RM            [Classical Decomposition] [WS8 Q1] [2014-11-19 13:14:43] [bcf5edf18529a33bd1494456d2c6cb9a]
- RMPD              [Decomposition by Loess] [Seasonal Decompos...] [2014-12-10 15:35:01] [0ce3062f3159e08d115eba7e96d082ef] [Current]
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Dataseries X:
1894
1757
3582
5321
5561
5907
4944
4966
3258
1964
1743
1262
2086
1793
3548
5672
6084
4914
4990
5139
3218
2179
2238
1442
2205
2025
3531
4977
7998
4880
5231
5202
3303
2683
2202
1376
2422
1997
3163
5964
5657
6415
6208
4500
2939
2702
2090
1504
2549
1931
3013
6204
5788
5611
5594
4647
3490
2487
1992
1507
2306
2002
3075
5331
5589
5813
4876
4665
3601
2192
2111
1580
2288
1993
3228
5000
5480
5770
4962
4685
3607
2222
2467
1594
2228
1910
3157
4809
6249
4607
4975
4784
3028
2461
2218
1351
2070
1887
3024
4596
6398
4459
5382
4359
2687
2249
2154
1169
2429
1762
2846
5627
5749
4502
5720
4403
2867
2635
2059
1511
2359
1741
2917
6249
5760
6250
5134
4831
3695
2462
2146
1579




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265400&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265400&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265400&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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=265400&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=265400&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265400&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
Seasonal13210133
Trend1912
Low-pass1312







Seasonal Decomposition by Loess - Time Series Components
tObservedFittedSeasonalTrendRemainder
118941596.52385562987-1348.792950256013540.26909462615-297.476144370135
217571692.00805380737-1717.276828058073539.26877425071-64.9919461926329
335824045.67426981546-419.9427236907223538.26845387526463.674269815459
453215283.443627784111821.240518160413537.31585405548-37.55637221589
555615168.939926845652416.696818918653536.3632542357-392.060073154349
659076516.198695033951761.059460230883536.74184473517609.198695033949
749444693.36635926931657.513205496053537.12043523464-250.633640730695
849665268.361340897711124.957281551753538.68137755054302.361340897707
932583351.81054075524-376.0528606216763540.2423198664493.8105407552366
1019641625.71151157865-1238.082013816773540.37050223812-338.288488421346
1117431441.88523298908-1496.383917598883540.49868460979-301.114767010915
1212621169.5892217735-2184.935949951973539.34672817847-92.4107782265019
1320861982.59817850887-1348.792950256013538.19477174714-103.40182149113
1417931760.88208439094-1717.276828058073542.39474366713-32.117915609062
1535483969.3480081036-419.9427236907223546.59471558713421.348008103596
1656725958.90387244091821.240518160413563.85560939869286.903872440903
1760846170.18667787112416.696818918653581.1165032102586.1866778711005
1849144472.080476739191761.059460230883594.86006302992-441.919523260807
1949904713.883171654341657.513205496053608.6036228496-276.116828345657
2051395540.148113647611124.957281551753612.89460480064401.148113647609
2132183194.86727387-376.0528606216763617.18558675167-23.1327261299989
2221791955.30188797671-1238.082013816773640.78012584006-223.698112023294
2322382308.00925267042-1496.383917598883664.3746649284570.0092526704248
2414421369.5856461688-2184.935949951973699.35030378316-72.4143538311973
2522052024.46700761814-1348.792950256013734.32594263787-180.532992381861
2620252009.08463323662-1717.276828058073758.19219482145-15.9153667633782
2735313699.8842766857-419.9427236907223782.05844700503168.884276685695
2849774336.011996383231821.240518160413796.74748545636-640.988003616772
2979989767.866657173652416.696818918653811.43652390771769.86665717365
3048804181.841328334781761.059460230883817.09921143434-698.158671665223
3152314981.724895542961657.513205496053822.76189896099-249.275104457039
3252025465.295923765991124.957281551753813.74679468226263.29592376599
3333033177.32117021815-376.0528606216763804.73169040353-125.678829781854
3426832813.33656372327-1238.082013816773790.7454500935130.336563723266
3522022123.6247078154-1496.383917598883776.75920978348-78.3752921845999
3613761151.80041930949-2184.935949951973785.13553064248-224.199580690513
3724222399.28109875453-1348.792950256013793.51185150148-22.7189012454687
3819971906.01699365985-1717.276828058073805.25983439823-90.9830063401541
3931632928.93490639575-419.9427236907223817.00781729497-234.06509360425
4059646291.698496456871821.240518160413815.06098538272327.69849645687
4156575084.189027610882416.696818918653813.11415347047-572.81097238912
4264157256.962141971251761.059460230883811.97839779787841.962141971249
4362086947.644152378681657.513205496053810.84264212527739.644152378677
4445004068.167382279651124.957281551753806.8753361686-431.832617720348
4529392451.14483040975-376.0528606216763802.90803021192-487.855169590247
4627022852.8358535914-1238.082013816773789.24616022537150.835853591401
4720901900.79962736006-1496.383917598883775.58429023881-189.200372639936
4815041434.21101749321-2184.935949951973758.72493245876-69.7889825067941
4925492704.92737557731-1348.792950256013741.86557467871155.927375577306
5019311839.93703129463-1717.276828058073739.33979676344-91.0629687053702
5130132709.12870484254-419.9427236907223736.81401884818-303.871295157456
5262046846.276592131431821.240518160413740.48288970816642.276592131431
5357885415.151420513212416.696818918653744.15176056814-372.848579486792
5456115722.928654003381761.059460230883738.01188576574111.928654003376
5555945798.61478354061657.513205496053731.87201096334204.614783540603
5646474449.70359971331124.957281551753719.33911873495-197.296400286699
5734903649.24663411513-376.0528606216763706.80622650655159.246634115125
5824872527.07039804184-1238.082013816773685.0116157749340.0703980418389
5919921817.16691255557-1496.383917598883663.21700504331-174.833087444434
6015071558.05872983445-2184.935949951973640.8772201175151.0587298344526
6123062342.2555150643-1348.792950256013618.5374351917236.2555150642961
6220022116.43196588954-1717.276828058073604.84486216853114.431965889545
6330752978.79043454538-419.9427236907223591.15228914534-96.2095654546165
6453315254.164445681241821.240518160413586.59503615835-76.8355543187599
6555895179.265397909992416.696818918653582.03778317136-409.734602090014
6658136279.907509097611761.059460230883585.03303067151466.907509097609
6748764506.458516332291657.513205496053588.02827817166-369.541483667711
6846654612.264815532541124.957281551753592.77790291571-52.7351844674631
6936013980.52533296191-376.0528606216763597.52752765976379.525332961911
7021922027.51115931371-1238.082013816773594.57085450306-164.488840686294
7121112126.76973625251-1496.383917598883591.6141813463615.7697362525146
7215801761.71261635184-2184.935949951973583.22333360013181.712616351838
7322882349.96046440212-1348.792950256013574.8324858538961.9604644021197
7419932132.00470181743-1717.276828058073571.27212624064139.004701817432
7532283308.23095706333-419.9427236907223567.7117666273980.2309570633347
7650004607.043372226091821.240518160413571.7161096135-392.956627773909
7754804967.582728481742416.696818918653575.72045259961-512.417271518261
7857706194.354607860941761.059460230883584.58593190818424.354607860938
7949624673.03538328721657.513205496053593.45141121675-288.964616712804
8046854644.154690957611124.957281551753600.88802749064-40.8453090423909
8136073981.72821685715-376.0528606216763608.32464376453374.728216857148
8222222073.36522427409-1238.082013816773608.71678954268-148.634775725905
8324672821.27498227805-1496.383917598883609.10893532082354.274982278055
8415941782.5930978236-2184.935949951973590.34285212836188.593097823603
8522282233.21618132011-1348.792950256013571.57676893595.21618132010826
8619101991.44586154911-1717.276828058073545.8309665089681.445861549108
8731573213.8575596087-419.9427236907223520.0851640820256.8575596086976
8848094294.98095750851821.240518160413501.77852433109-514.019042491497
8962496597.83129650122416.696818918653483.47188458015348.831296501198
9046073977.835341137651761.059460230883475.10519863146-629.164658862347
9149754825.748281821171657.513205496053466.73851268278-149.251718178833
9247844977.370335651291124.957281551753465.67238279696193.370335651291
9330282967.44660771054-376.0528606216763464.60625291113-60.5533922894574
9424612694.9196455561-1238.082013816773465.16236826067233.919645556098
9522182466.66543398867-1496.383917598883465.71848361021248.665433988668
9613511425.97592063746-2184.935949951973460.960029314574.9759206374629
9720702032.59137523722-1348.792950256013456.2015750188-37.4086247627847
9818872053.56415078577-1717.276828058073437.71267727231166.564150785765
9930243048.71894416491-419.9427236907223419.2237795258224.7189441649052
10045963971.714819678251821.240518160413399.04466216134-624.28518032175
10163987000.437636284482416.696818918653378.86554479686602.437636284484
10244593781.709165768491761.059460230883375.23137400063-677.290834231509
10353825734.889591299561657.513205496053371.59720320439352.889591299557
10443594209.741435520931124.957281551753383.30128292731-149.258564479066
10526872355.04749797144-376.0528606216763395.00536265024-331.952502028562
10622492327.2334770262-1238.082013816773408.8485367905778.2334770262046
10721542381.69220666798-1496.383917598883422.69171093089227.692206667985
10811691091.43108949931-2184.935949951973431.50486045265-77.5689105006868
10924292766.4749402816-1348.792950256013440.31800997441337.474940281599
11017621793.34102852248-1717.276828058073447.935799535631.3410285224754
11128462656.38913459394-419.9427236907223455.55358909678-189.610865406058
11256275968.440878842131821.240518160413464.31860299746341.440878842127
11357495608.21956418322416.696818918653473.08361689814-140.780435816798
11445023761.877017283951761.059460230883481.06352248516-740.122982716045
11557206293.443366431771657.513205496053489.04342807218573.443366431766
11644034178.429969291481124.957281551753502.61274915677-224.570030708523
11728672593.87079038032-376.0528606216763516.18207024136-273.129209619684
11826352961.07709646633-1238.082013816773547.00491735044326.077096466331
11920592036.55615313936-1496.383917598883577.82776445952-22.4438468606404
12015111588.45275192609-2184.935949951973618.4831980258877.4527519260882
12123592407.65431866377-1348.792950256013659.1386315922448.6543186637746
12217411509.0389938038-1717.276828058073690.23783425427-231.961006196202
12329172532.60568677441-419.9427236907223721.33703691631-384.394313225589
12462496942.989819631541821.240518160413733.76966220805693.989819631539
12557605357.100893581562416.696818918653746.20228749979-402.899106418442
12662506981.199106503251761.059460230883757.74143326587731.199106503251
12751344841.2062154721657.513205496053769.28057903194-292.793784527997
12848314756.921096808171124.957281551753780.12162164008-74.0789031918321
12936953975.09019637346-376.0528606216763790.96266424822280.09019637346
13024622362.2642114943-1238.082013816773799.81780232247-99.7357885057031
13121461979.71097720215-1496.383917598883808.67294039673-166.289022797852
13215791527.46314065333-2184.935949951973815.47280929864-51.5368593466728

\begin{tabular}{lllllllll}
\hline
Seasonal Decomposition by Loess - Time Series Components \tabularnewline
t & Observed & Fitted & Seasonal & Trend & Remainder \tabularnewline
1 & 1894 & 1596.52385562987 & -1348.79295025601 & 3540.26909462615 & -297.476144370135 \tabularnewline
2 & 1757 & 1692.00805380737 & -1717.27682805807 & 3539.26877425071 & -64.9919461926329 \tabularnewline
3 & 3582 & 4045.67426981546 & -419.942723690722 & 3538.26845387526 & 463.674269815459 \tabularnewline
4 & 5321 & 5283.44362778411 & 1821.24051816041 & 3537.31585405548 & -37.55637221589 \tabularnewline
5 & 5561 & 5168.93992684565 & 2416.69681891865 & 3536.3632542357 & -392.060073154349 \tabularnewline
6 & 5907 & 6516.19869503395 & 1761.05946023088 & 3536.74184473517 & 609.198695033949 \tabularnewline
7 & 4944 & 4693.3663592693 & 1657.51320549605 & 3537.12043523464 & -250.633640730695 \tabularnewline
8 & 4966 & 5268.36134089771 & 1124.95728155175 & 3538.68137755054 & 302.361340897707 \tabularnewline
9 & 3258 & 3351.81054075524 & -376.052860621676 & 3540.24231986644 & 93.8105407552366 \tabularnewline
10 & 1964 & 1625.71151157865 & -1238.08201381677 & 3540.37050223812 & -338.288488421346 \tabularnewline
11 & 1743 & 1441.88523298908 & -1496.38391759888 & 3540.49868460979 & -301.114767010915 \tabularnewline
12 & 1262 & 1169.5892217735 & -2184.93594995197 & 3539.34672817847 & -92.4107782265019 \tabularnewline
13 & 2086 & 1982.59817850887 & -1348.79295025601 & 3538.19477174714 & -103.40182149113 \tabularnewline
14 & 1793 & 1760.88208439094 & -1717.27682805807 & 3542.39474366713 & -32.117915609062 \tabularnewline
15 & 3548 & 3969.3480081036 & -419.942723690722 & 3546.59471558713 & 421.348008103596 \tabularnewline
16 & 5672 & 5958.9038724409 & 1821.24051816041 & 3563.85560939869 & 286.903872440903 \tabularnewline
17 & 6084 & 6170.1866778711 & 2416.69681891865 & 3581.11650321025 & 86.1866778711005 \tabularnewline
18 & 4914 & 4472.08047673919 & 1761.05946023088 & 3594.86006302992 & -441.919523260807 \tabularnewline
19 & 4990 & 4713.88317165434 & 1657.51320549605 & 3608.6036228496 & -276.116828345657 \tabularnewline
20 & 5139 & 5540.14811364761 & 1124.95728155175 & 3612.89460480064 & 401.148113647609 \tabularnewline
21 & 3218 & 3194.86727387 & -376.052860621676 & 3617.18558675167 & -23.1327261299989 \tabularnewline
22 & 2179 & 1955.30188797671 & -1238.08201381677 & 3640.78012584006 & -223.698112023294 \tabularnewline
23 & 2238 & 2308.00925267042 & -1496.38391759888 & 3664.37466492845 & 70.0092526704248 \tabularnewline
24 & 1442 & 1369.5856461688 & -2184.93594995197 & 3699.35030378316 & -72.4143538311973 \tabularnewline
25 & 2205 & 2024.46700761814 & -1348.79295025601 & 3734.32594263787 & -180.532992381861 \tabularnewline
26 & 2025 & 2009.08463323662 & -1717.27682805807 & 3758.19219482145 & -15.9153667633782 \tabularnewline
27 & 3531 & 3699.8842766857 & -419.942723690722 & 3782.05844700503 & 168.884276685695 \tabularnewline
28 & 4977 & 4336.01199638323 & 1821.24051816041 & 3796.74748545636 & -640.988003616772 \tabularnewline
29 & 7998 & 9767.86665717365 & 2416.69681891865 & 3811.4365239077 & 1769.86665717365 \tabularnewline
30 & 4880 & 4181.84132833478 & 1761.05946023088 & 3817.09921143434 & -698.158671665223 \tabularnewline
31 & 5231 & 4981.72489554296 & 1657.51320549605 & 3822.76189896099 & -249.275104457039 \tabularnewline
32 & 5202 & 5465.29592376599 & 1124.95728155175 & 3813.74679468226 & 263.29592376599 \tabularnewline
33 & 3303 & 3177.32117021815 & -376.052860621676 & 3804.73169040353 & -125.678829781854 \tabularnewline
34 & 2683 & 2813.33656372327 & -1238.08201381677 & 3790.7454500935 & 130.336563723266 \tabularnewline
35 & 2202 & 2123.6247078154 & -1496.38391759888 & 3776.75920978348 & -78.3752921845999 \tabularnewline
36 & 1376 & 1151.80041930949 & -2184.93594995197 & 3785.13553064248 & -224.199580690513 \tabularnewline
37 & 2422 & 2399.28109875453 & -1348.79295025601 & 3793.51185150148 & -22.7189012454687 \tabularnewline
38 & 1997 & 1906.01699365985 & -1717.27682805807 & 3805.25983439823 & -90.9830063401541 \tabularnewline
39 & 3163 & 2928.93490639575 & -419.942723690722 & 3817.00781729497 & -234.06509360425 \tabularnewline
40 & 5964 & 6291.69849645687 & 1821.24051816041 & 3815.06098538272 & 327.69849645687 \tabularnewline
41 & 5657 & 5084.18902761088 & 2416.69681891865 & 3813.11415347047 & -572.81097238912 \tabularnewline
42 & 6415 & 7256.96214197125 & 1761.05946023088 & 3811.97839779787 & 841.962141971249 \tabularnewline
43 & 6208 & 6947.64415237868 & 1657.51320549605 & 3810.84264212527 & 739.644152378677 \tabularnewline
44 & 4500 & 4068.16738227965 & 1124.95728155175 & 3806.8753361686 & -431.832617720348 \tabularnewline
45 & 2939 & 2451.14483040975 & -376.052860621676 & 3802.90803021192 & -487.855169590247 \tabularnewline
46 & 2702 & 2852.8358535914 & -1238.08201381677 & 3789.24616022537 & 150.835853591401 \tabularnewline
47 & 2090 & 1900.79962736006 & -1496.38391759888 & 3775.58429023881 & -189.200372639936 \tabularnewline
48 & 1504 & 1434.21101749321 & -2184.93594995197 & 3758.72493245876 & -69.7889825067941 \tabularnewline
49 & 2549 & 2704.92737557731 & -1348.79295025601 & 3741.86557467871 & 155.927375577306 \tabularnewline
50 & 1931 & 1839.93703129463 & -1717.27682805807 & 3739.33979676344 & -91.0629687053702 \tabularnewline
51 & 3013 & 2709.12870484254 & -419.942723690722 & 3736.81401884818 & -303.871295157456 \tabularnewline
52 & 6204 & 6846.27659213143 & 1821.24051816041 & 3740.48288970816 & 642.276592131431 \tabularnewline
53 & 5788 & 5415.15142051321 & 2416.69681891865 & 3744.15176056814 & -372.848579486792 \tabularnewline
54 & 5611 & 5722.92865400338 & 1761.05946023088 & 3738.01188576574 & 111.928654003376 \tabularnewline
55 & 5594 & 5798.6147835406 & 1657.51320549605 & 3731.87201096334 & 204.614783540603 \tabularnewline
56 & 4647 & 4449.7035997133 & 1124.95728155175 & 3719.33911873495 & -197.296400286699 \tabularnewline
57 & 3490 & 3649.24663411513 & -376.052860621676 & 3706.80622650655 & 159.246634115125 \tabularnewline
58 & 2487 & 2527.07039804184 & -1238.08201381677 & 3685.01161577493 & 40.0703980418389 \tabularnewline
59 & 1992 & 1817.16691255557 & -1496.38391759888 & 3663.21700504331 & -174.833087444434 \tabularnewline
60 & 1507 & 1558.05872983445 & -2184.93594995197 & 3640.87722011751 & 51.0587298344526 \tabularnewline
61 & 2306 & 2342.2555150643 & -1348.79295025601 & 3618.53743519172 & 36.2555150642961 \tabularnewline
62 & 2002 & 2116.43196588954 & -1717.27682805807 & 3604.84486216853 & 114.431965889545 \tabularnewline
63 & 3075 & 2978.79043454538 & -419.942723690722 & 3591.15228914534 & -96.2095654546165 \tabularnewline
64 & 5331 & 5254.16444568124 & 1821.24051816041 & 3586.59503615835 & -76.8355543187599 \tabularnewline
65 & 5589 & 5179.26539790999 & 2416.69681891865 & 3582.03778317136 & -409.734602090014 \tabularnewline
66 & 5813 & 6279.90750909761 & 1761.05946023088 & 3585.03303067151 & 466.907509097609 \tabularnewline
67 & 4876 & 4506.45851633229 & 1657.51320549605 & 3588.02827817166 & -369.541483667711 \tabularnewline
68 & 4665 & 4612.26481553254 & 1124.95728155175 & 3592.77790291571 & -52.7351844674631 \tabularnewline
69 & 3601 & 3980.52533296191 & -376.052860621676 & 3597.52752765976 & 379.525332961911 \tabularnewline
70 & 2192 & 2027.51115931371 & -1238.08201381677 & 3594.57085450306 & -164.488840686294 \tabularnewline
71 & 2111 & 2126.76973625251 & -1496.38391759888 & 3591.61418134636 & 15.7697362525146 \tabularnewline
72 & 1580 & 1761.71261635184 & -2184.93594995197 & 3583.22333360013 & 181.712616351838 \tabularnewline
73 & 2288 & 2349.96046440212 & -1348.79295025601 & 3574.83248585389 & 61.9604644021197 \tabularnewline
74 & 1993 & 2132.00470181743 & -1717.27682805807 & 3571.27212624064 & 139.004701817432 \tabularnewline
75 & 3228 & 3308.23095706333 & -419.942723690722 & 3567.71176662739 & 80.2309570633347 \tabularnewline
76 & 5000 & 4607.04337222609 & 1821.24051816041 & 3571.7161096135 & -392.956627773909 \tabularnewline
77 & 5480 & 4967.58272848174 & 2416.69681891865 & 3575.72045259961 & -512.417271518261 \tabularnewline
78 & 5770 & 6194.35460786094 & 1761.05946023088 & 3584.58593190818 & 424.354607860938 \tabularnewline
79 & 4962 & 4673.0353832872 & 1657.51320549605 & 3593.45141121675 & -288.964616712804 \tabularnewline
80 & 4685 & 4644.15469095761 & 1124.95728155175 & 3600.88802749064 & -40.8453090423909 \tabularnewline
81 & 3607 & 3981.72821685715 & -376.052860621676 & 3608.32464376453 & 374.728216857148 \tabularnewline
82 & 2222 & 2073.36522427409 & -1238.08201381677 & 3608.71678954268 & -148.634775725905 \tabularnewline
83 & 2467 & 2821.27498227805 & -1496.38391759888 & 3609.10893532082 & 354.274982278055 \tabularnewline
84 & 1594 & 1782.5930978236 & -2184.93594995197 & 3590.34285212836 & 188.593097823603 \tabularnewline
85 & 2228 & 2233.21618132011 & -1348.79295025601 & 3571.5767689359 & 5.21618132010826 \tabularnewline
86 & 1910 & 1991.44586154911 & -1717.27682805807 & 3545.83096650896 & 81.445861549108 \tabularnewline
87 & 3157 & 3213.8575596087 & -419.942723690722 & 3520.08516408202 & 56.8575596086976 \tabularnewline
88 & 4809 & 4294.9809575085 & 1821.24051816041 & 3501.77852433109 & -514.019042491497 \tabularnewline
89 & 6249 & 6597.8312965012 & 2416.69681891865 & 3483.47188458015 & 348.831296501198 \tabularnewline
90 & 4607 & 3977.83534113765 & 1761.05946023088 & 3475.10519863146 & -629.164658862347 \tabularnewline
91 & 4975 & 4825.74828182117 & 1657.51320549605 & 3466.73851268278 & -149.251718178833 \tabularnewline
92 & 4784 & 4977.37033565129 & 1124.95728155175 & 3465.67238279696 & 193.370335651291 \tabularnewline
93 & 3028 & 2967.44660771054 & -376.052860621676 & 3464.60625291113 & -60.5533922894574 \tabularnewline
94 & 2461 & 2694.9196455561 & -1238.08201381677 & 3465.16236826067 & 233.919645556098 \tabularnewline
95 & 2218 & 2466.66543398867 & -1496.38391759888 & 3465.71848361021 & 248.665433988668 \tabularnewline
96 & 1351 & 1425.97592063746 & -2184.93594995197 & 3460.9600293145 & 74.9759206374629 \tabularnewline
97 & 2070 & 2032.59137523722 & -1348.79295025601 & 3456.2015750188 & -37.4086247627847 \tabularnewline
98 & 1887 & 2053.56415078577 & -1717.27682805807 & 3437.71267727231 & 166.564150785765 \tabularnewline
99 & 3024 & 3048.71894416491 & -419.942723690722 & 3419.22377952582 & 24.7189441649052 \tabularnewline
100 & 4596 & 3971.71481967825 & 1821.24051816041 & 3399.04466216134 & -624.28518032175 \tabularnewline
101 & 6398 & 7000.43763628448 & 2416.69681891865 & 3378.86554479686 & 602.437636284484 \tabularnewline
102 & 4459 & 3781.70916576849 & 1761.05946023088 & 3375.23137400063 & -677.290834231509 \tabularnewline
103 & 5382 & 5734.88959129956 & 1657.51320549605 & 3371.59720320439 & 352.889591299557 \tabularnewline
104 & 4359 & 4209.74143552093 & 1124.95728155175 & 3383.30128292731 & -149.258564479066 \tabularnewline
105 & 2687 & 2355.04749797144 & -376.052860621676 & 3395.00536265024 & -331.952502028562 \tabularnewline
106 & 2249 & 2327.2334770262 & -1238.08201381677 & 3408.84853679057 & 78.2334770262046 \tabularnewline
107 & 2154 & 2381.69220666798 & -1496.38391759888 & 3422.69171093089 & 227.692206667985 \tabularnewline
108 & 1169 & 1091.43108949931 & -2184.93594995197 & 3431.50486045265 & -77.5689105006868 \tabularnewline
109 & 2429 & 2766.4749402816 & -1348.79295025601 & 3440.31800997441 & 337.474940281599 \tabularnewline
110 & 1762 & 1793.34102852248 & -1717.27682805807 & 3447.9357995356 & 31.3410285224754 \tabularnewline
111 & 2846 & 2656.38913459394 & -419.942723690722 & 3455.55358909678 & -189.610865406058 \tabularnewline
112 & 5627 & 5968.44087884213 & 1821.24051816041 & 3464.31860299746 & 341.440878842127 \tabularnewline
113 & 5749 & 5608.2195641832 & 2416.69681891865 & 3473.08361689814 & -140.780435816798 \tabularnewline
114 & 4502 & 3761.87701728395 & 1761.05946023088 & 3481.06352248516 & -740.122982716045 \tabularnewline
115 & 5720 & 6293.44336643177 & 1657.51320549605 & 3489.04342807218 & 573.443366431766 \tabularnewline
116 & 4403 & 4178.42996929148 & 1124.95728155175 & 3502.61274915677 & -224.570030708523 \tabularnewline
117 & 2867 & 2593.87079038032 & -376.052860621676 & 3516.18207024136 & -273.129209619684 \tabularnewline
118 & 2635 & 2961.07709646633 & -1238.08201381677 & 3547.00491735044 & 326.077096466331 \tabularnewline
119 & 2059 & 2036.55615313936 & -1496.38391759888 & 3577.82776445952 & -22.4438468606404 \tabularnewline
120 & 1511 & 1588.45275192609 & -2184.93594995197 & 3618.48319802588 & 77.4527519260882 \tabularnewline
121 & 2359 & 2407.65431866377 & -1348.79295025601 & 3659.13863159224 & 48.6543186637746 \tabularnewline
122 & 1741 & 1509.0389938038 & -1717.27682805807 & 3690.23783425427 & -231.961006196202 \tabularnewline
123 & 2917 & 2532.60568677441 & -419.942723690722 & 3721.33703691631 & -384.394313225589 \tabularnewline
124 & 6249 & 6942.98981963154 & 1821.24051816041 & 3733.76966220805 & 693.989819631539 \tabularnewline
125 & 5760 & 5357.10089358156 & 2416.69681891865 & 3746.20228749979 & -402.899106418442 \tabularnewline
126 & 6250 & 6981.19910650325 & 1761.05946023088 & 3757.74143326587 & 731.199106503251 \tabularnewline
127 & 5134 & 4841.206215472 & 1657.51320549605 & 3769.28057903194 & -292.793784527997 \tabularnewline
128 & 4831 & 4756.92109680817 & 1124.95728155175 & 3780.12162164008 & -74.0789031918321 \tabularnewline
129 & 3695 & 3975.09019637346 & -376.052860621676 & 3790.96266424822 & 280.09019637346 \tabularnewline
130 & 2462 & 2362.2642114943 & -1238.08201381677 & 3799.81780232247 & -99.7357885057031 \tabularnewline
131 & 2146 & 1979.71097720215 & -1496.38391759888 & 3808.67294039673 & -166.289022797852 \tabularnewline
132 & 1579 & 1527.46314065333 & -2184.93594995197 & 3815.47280929864 & -51.5368593466728 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265400&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]1894[/C][C]1596.52385562987[/C][C]-1348.79295025601[/C][C]3540.26909462615[/C][C]-297.476144370135[/C][/ROW]
[ROW][C]2[/C][C]1757[/C][C]1692.00805380737[/C][C]-1717.27682805807[/C][C]3539.26877425071[/C][C]-64.9919461926329[/C][/ROW]
[ROW][C]3[/C][C]3582[/C][C]4045.67426981546[/C][C]-419.942723690722[/C][C]3538.26845387526[/C][C]463.674269815459[/C][/ROW]
[ROW][C]4[/C][C]5321[/C][C]5283.44362778411[/C][C]1821.24051816041[/C][C]3537.31585405548[/C][C]-37.55637221589[/C][/ROW]
[ROW][C]5[/C][C]5561[/C][C]5168.93992684565[/C][C]2416.69681891865[/C][C]3536.3632542357[/C][C]-392.060073154349[/C][/ROW]
[ROW][C]6[/C][C]5907[/C][C]6516.19869503395[/C][C]1761.05946023088[/C][C]3536.74184473517[/C][C]609.198695033949[/C][/ROW]
[ROW][C]7[/C][C]4944[/C][C]4693.3663592693[/C][C]1657.51320549605[/C][C]3537.12043523464[/C][C]-250.633640730695[/C][/ROW]
[ROW][C]8[/C][C]4966[/C][C]5268.36134089771[/C][C]1124.95728155175[/C][C]3538.68137755054[/C][C]302.361340897707[/C][/ROW]
[ROW][C]9[/C][C]3258[/C][C]3351.81054075524[/C][C]-376.052860621676[/C][C]3540.24231986644[/C][C]93.8105407552366[/C][/ROW]
[ROW][C]10[/C][C]1964[/C][C]1625.71151157865[/C][C]-1238.08201381677[/C][C]3540.37050223812[/C][C]-338.288488421346[/C][/ROW]
[ROW][C]11[/C][C]1743[/C][C]1441.88523298908[/C][C]-1496.38391759888[/C][C]3540.49868460979[/C][C]-301.114767010915[/C][/ROW]
[ROW][C]12[/C][C]1262[/C][C]1169.5892217735[/C][C]-2184.93594995197[/C][C]3539.34672817847[/C][C]-92.4107782265019[/C][/ROW]
[ROW][C]13[/C][C]2086[/C][C]1982.59817850887[/C][C]-1348.79295025601[/C][C]3538.19477174714[/C][C]-103.40182149113[/C][/ROW]
[ROW][C]14[/C][C]1793[/C][C]1760.88208439094[/C][C]-1717.27682805807[/C][C]3542.39474366713[/C][C]-32.117915609062[/C][/ROW]
[ROW][C]15[/C][C]3548[/C][C]3969.3480081036[/C][C]-419.942723690722[/C][C]3546.59471558713[/C][C]421.348008103596[/C][/ROW]
[ROW][C]16[/C][C]5672[/C][C]5958.9038724409[/C][C]1821.24051816041[/C][C]3563.85560939869[/C][C]286.903872440903[/C][/ROW]
[ROW][C]17[/C][C]6084[/C][C]6170.1866778711[/C][C]2416.69681891865[/C][C]3581.11650321025[/C][C]86.1866778711005[/C][/ROW]
[ROW][C]18[/C][C]4914[/C][C]4472.08047673919[/C][C]1761.05946023088[/C][C]3594.86006302992[/C][C]-441.919523260807[/C][/ROW]
[ROW][C]19[/C][C]4990[/C][C]4713.88317165434[/C][C]1657.51320549605[/C][C]3608.6036228496[/C][C]-276.116828345657[/C][/ROW]
[ROW][C]20[/C][C]5139[/C][C]5540.14811364761[/C][C]1124.95728155175[/C][C]3612.89460480064[/C][C]401.148113647609[/C][/ROW]
[ROW][C]21[/C][C]3218[/C][C]3194.86727387[/C][C]-376.052860621676[/C][C]3617.18558675167[/C][C]-23.1327261299989[/C][/ROW]
[ROW][C]22[/C][C]2179[/C][C]1955.30188797671[/C][C]-1238.08201381677[/C][C]3640.78012584006[/C][C]-223.698112023294[/C][/ROW]
[ROW][C]23[/C][C]2238[/C][C]2308.00925267042[/C][C]-1496.38391759888[/C][C]3664.37466492845[/C][C]70.0092526704248[/C][/ROW]
[ROW][C]24[/C][C]1442[/C][C]1369.5856461688[/C][C]-2184.93594995197[/C][C]3699.35030378316[/C][C]-72.4143538311973[/C][/ROW]
[ROW][C]25[/C][C]2205[/C][C]2024.46700761814[/C][C]-1348.79295025601[/C][C]3734.32594263787[/C][C]-180.532992381861[/C][/ROW]
[ROW][C]26[/C][C]2025[/C][C]2009.08463323662[/C][C]-1717.27682805807[/C][C]3758.19219482145[/C][C]-15.9153667633782[/C][/ROW]
[ROW][C]27[/C][C]3531[/C][C]3699.8842766857[/C][C]-419.942723690722[/C][C]3782.05844700503[/C][C]168.884276685695[/C][/ROW]
[ROW][C]28[/C][C]4977[/C][C]4336.01199638323[/C][C]1821.24051816041[/C][C]3796.74748545636[/C][C]-640.988003616772[/C][/ROW]
[ROW][C]29[/C][C]7998[/C][C]9767.86665717365[/C][C]2416.69681891865[/C][C]3811.4365239077[/C][C]1769.86665717365[/C][/ROW]
[ROW][C]30[/C][C]4880[/C][C]4181.84132833478[/C][C]1761.05946023088[/C][C]3817.09921143434[/C][C]-698.158671665223[/C][/ROW]
[ROW][C]31[/C][C]5231[/C][C]4981.72489554296[/C][C]1657.51320549605[/C][C]3822.76189896099[/C][C]-249.275104457039[/C][/ROW]
[ROW][C]32[/C][C]5202[/C][C]5465.29592376599[/C][C]1124.95728155175[/C][C]3813.74679468226[/C][C]263.29592376599[/C][/ROW]
[ROW][C]33[/C][C]3303[/C][C]3177.32117021815[/C][C]-376.052860621676[/C][C]3804.73169040353[/C][C]-125.678829781854[/C][/ROW]
[ROW][C]34[/C][C]2683[/C][C]2813.33656372327[/C][C]-1238.08201381677[/C][C]3790.7454500935[/C][C]130.336563723266[/C][/ROW]
[ROW][C]35[/C][C]2202[/C][C]2123.6247078154[/C][C]-1496.38391759888[/C][C]3776.75920978348[/C][C]-78.3752921845999[/C][/ROW]
[ROW][C]36[/C][C]1376[/C][C]1151.80041930949[/C][C]-2184.93594995197[/C][C]3785.13553064248[/C][C]-224.199580690513[/C][/ROW]
[ROW][C]37[/C][C]2422[/C][C]2399.28109875453[/C][C]-1348.79295025601[/C][C]3793.51185150148[/C][C]-22.7189012454687[/C][/ROW]
[ROW][C]38[/C][C]1997[/C][C]1906.01699365985[/C][C]-1717.27682805807[/C][C]3805.25983439823[/C][C]-90.9830063401541[/C][/ROW]
[ROW][C]39[/C][C]3163[/C][C]2928.93490639575[/C][C]-419.942723690722[/C][C]3817.00781729497[/C][C]-234.06509360425[/C][/ROW]
[ROW][C]40[/C][C]5964[/C][C]6291.69849645687[/C][C]1821.24051816041[/C][C]3815.06098538272[/C][C]327.69849645687[/C][/ROW]
[ROW][C]41[/C][C]5657[/C][C]5084.18902761088[/C][C]2416.69681891865[/C][C]3813.11415347047[/C][C]-572.81097238912[/C][/ROW]
[ROW][C]42[/C][C]6415[/C][C]7256.96214197125[/C][C]1761.05946023088[/C][C]3811.97839779787[/C][C]841.962141971249[/C][/ROW]
[ROW][C]43[/C][C]6208[/C][C]6947.64415237868[/C][C]1657.51320549605[/C][C]3810.84264212527[/C][C]739.644152378677[/C][/ROW]
[ROW][C]44[/C][C]4500[/C][C]4068.16738227965[/C][C]1124.95728155175[/C][C]3806.8753361686[/C][C]-431.832617720348[/C][/ROW]
[ROW][C]45[/C][C]2939[/C][C]2451.14483040975[/C][C]-376.052860621676[/C][C]3802.90803021192[/C][C]-487.855169590247[/C][/ROW]
[ROW][C]46[/C][C]2702[/C][C]2852.8358535914[/C][C]-1238.08201381677[/C][C]3789.24616022537[/C][C]150.835853591401[/C][/ROW]
[ROW][C]47[/C][C]2090[/C][C]1900.79962736006[/C][C]-1496.38391759888[/C][C]3775.58429023881[/C][C]-189.200372639936[/C][/ROW]
[ROW][C]48[/C][C]1504[/C][C]1434.21101749321[/C][C]-2184.93594995197[/C][C]3758.72493245876[/C][C]-69.7889825067941[/C][/ROW]
[ROW][C]49[/C][C]2549[/C][C]2704.92737557731[/C][C]-1348.79295025601[/C][C]3741.86557467871[/C][C]155.927375577306[/C][/ROW]
[ROW][C]50[/C][C]1931[/C][C]1839.93703129463[/C][C]-1717.27682805807[/C][C]3739.33979676344[/C][C]-91.0629687053702[/C][/ROW]
[ROW][C]51[/C][C]3013[/C][C]2709.12870484254[/C][C]-419.942723690722[/C][C]3736.81401884818[/C][C]-303.871295157456[/C][/ROW]
[ROW][C]52[/C][C]6204[/C][C]6846.27659213143[/C][C]1821.24051816041[/C][C]3740.48288970816[/C][C]642.276592131431[/C][/ROW]
[ROW][C]53[/C][C]5788[/C][C]5415.15142051321[/C][C]2416.69681891865[/C][C]3744.15176056814[/C][C]-372.848579486792[/C][/ROW]
[ROW][C]54[/C][C]5611[/C][C]5722.92865400338[/C][C]1761.05946023088[/C][C]3738.01188576574[/C][C]111.928654003376[/C][/ROW]
[ROW][C]55[/C][C]5594[/C][C]5798.6147835406[/C][C]1657.51320549605[/C][C]3731.87201096334[/C][C]204.614783540603[/C][/ROW]
[ROW][C]56[/C][C]4647[/C][C]4449.7035997133[/C][C]1124.95728155175[/C][C]3719.33911873495[/C][C]-197.296400286699[/C][/ROW]
[ROW][C]57[/C][C]3490[/C][C]3649.24663411513[/C][C]-376.052860621676[/C][C]3706.80622650655[/C][C]159.246634115125[/C][/ROW]
[ROW][C]58[/C][C]2487[/C][C]2527.07039804184[/C][C]-1238.08201381677[/C][C]3685.01161577493[/C][C]40.0703980418389[/C][/ROW]
[ROW][C]59[/C][C]1992[/C][C]1817.16691255557[/C][C]-1496.38391759888[/C][C]3663.21700504331[/C][C]-174.833087444434[/C][/ROW]
[ROW][C]60[/C][C]1507[/C][C]1558.05872983445[/C][C]-2184.93594995197[/C][C]3640.87722011751[/C][C]51.0587298344526[/C][/ROW]
[ROW][C]61[/C][C]2306[/C][C]2342.2555150643[/C][C]-1348.79295025601[/C][C]3618.53743519172[/C][C]36.2555150642961[/C][/ROW]
[ROW][C]62[/C][C]2002[/C][C]2116.43196588954[/C][C]-1717.27682805807[/C][C]3604.84486216853[/C][C]114.431965889545[/C][/ROW]
[ROW][C]63[/C][C]3075[/C][C]2978.79043454538[/C][C]-419.942723690722[/C][C]3591.15228914534[/C][C]-96.2095654546165[/C][/ROW]
[ROW][C]64[/C][C]5331[/C][C]5254.16444568124[/C][C]1821.24051816041[/C][C]3586.59503615835[/C][C]-76.8355543187599[/C][/ROW]
[ROW][C]65[/C][C]5589[/C][C]5179.26539790999[/C][C]2416.69681891865[/C][C]3582.03778317136[/C][C]-409.734602090014[/C][/ROW]
[ROW][C]66[/C][C]5813[/C][C]6279.90750909761[/C][C]1761.05946023088[/C][C]3585.03303067151[/C][C]466.907509097609[/C][/ROW]
[ROW][C]67[/C][C]4876[/C][C]4506.45851633229[/C][C]1657.51320549605[/C][C]3588.02827817166[/C][C]-369.541483667711[/C][/ROW]
[ROW][C]68[/C][C]4665[/C][C]4612.26481553254[/C][C]1124.95728155175[/C][C]3592.77790291571[/C][C]-52.7351844674631[/C][/ROW]
[ROW][C]69[/C][C]3601[/C][C]3980.52533296191[/C][C]-376.052860621676[/C][C]3597.52752765976[/C][C]379.525332961911[/C][/ROW]
[ROW][C]70[/C][C]2192[/C][C]2027.51115931371[/C][C]-1238.08201381677[/C][C]3594.57085450306[/C][C]-164.488840686294[/C][/ROW]
[ROW][C]71[/C][C]2111[/C][C]2126.76973625251[/C][C]-1496.38391759888[/C][C]3591.61418134636[/C][C]15.7697362525146[/C][/ROW]
[ROW][C]72[/C][C]1580[/C][C]1761.71261635184[/C][C]-2184.93594995197[/C][C]3583.22333360013[/C][C]181.712616351838[/C][/ROW]
[ROW][C]73[/C][C]2288[/C][C]2349.96046440212[/C][C]-1348.79295025601[/C][C]3574.83248585389[/C][C]61.9604644021197[/C][/ROW]
[ROW][C]74[/C][C]1993[/C][C]2132.00470181743[/C][C]-1717.27682805807[/C][C]3571.27212624064[/C][C]139.004701817432[/C][/ROW]
[ROW][C]75[/C][C]3228[/C][C]3308.23095706333[/C][C]-419.942723690722[/C][C]3567.71176662739[/C][C]80.2309570633347[/C][/ROW]
[ROW][C]76[/C][C]5000[/C][C]4607.04337222609[/C][C]1821.24051816041[/C][C]3571.7161096135[/C][C]-392.956627773909[/C][/ROW]
[ROW][C]77[/C][C]5480[/C][C]4967.58272848174[/C][C]2416.69681891865[/C][C]3575.72045259961[/C][C]-512.417271518261[/C][/ROW]
[ROW][C]78[/C][C]5770[/C][C]6194.35460786094[/C][C]1761.05946023088[/C][C]3584.58593190818[/C][C]424.354607860938[/C][/ROW]
[ROW][C]79[/C][C]4962[/C][C]4673.0353832872[/C][C]1657.51320549605[/C][C]3593.45141121675[/C][C]-288.964616712804[/C][/ROW]
[ROW][C]80[/C][C]4685[/C][C]4644.15469095761[/C][C]1124.95728155175[/C][C]3600.88802749064[/C][C]-40.8453090423909[/C][/ROW]
[ROW][C]81[/C][C]3607[/C][C]3981.72821685715[/C][C]-376.052860621676[/C][C]3608.32464376453[/C][C]374.728216857148[/C][/ROW]
[ROW][C]82[/C][C]2222[/C][C]2073.36522427409[/C][C]-1238.08201381677[/C][C]3608.71678954268[/C][C]-148.634775725905[/C][/ROW]
[ROW][C]83[/C][C]2467[/C][C]2821.27498227805[/C][C]-1496.38391759888[/C][C]3609.10893532082[/C][C]354.274982278055[/C][/ROW]
[ROW][C]84[/C][C]1594[/C][C]1782.5930978236[/C][C]-2184.93594995197[/C][C]3590.34285212836[/C][C]188.593097823603[/C][/ROW]
[ROW][C]85[/C][C]2228[/C][C]2233.21618132011[/C][C]-1348.79295025601[/C][C]3571.5767689359[/C][C]5.21618132010826[/C][/ROW]
[ROW][C]86[/C][C]1910[/C][C]1991.44586154911[/C][C]-1717.27682805807[/C][C]3545.83096650896[/C][C]81.445861549108[/C][/ROW]
[ROW][C]87[/C][C]3157[/C][C]3213.8575596087[/C][C]-419.942723690722[/C][C]3520.08516408202[/C][C]56.8575596086976[/C][/ROW]
[ROW][C]88[/C][C]4809[/C][C]4294.9809575085[/C][C]1821.24051816041[/C][C]3501.77852433109[/C][C]-514.019042491497[/C][/ROW]
[ROW][C]89[/C][C]6249[/C][C]6597.8312965012[/C][C]2416.69681891865[/C][C]3483.47188458015[/C][C]348.831296501198[/C][/ROW]
[ROW][C]90[/C][C]4607[/C][C]3977.83534113765[/C][C]1761.05946023088[/C][C]3475.10519863146[/C][C]-629.164658862347[/C][/ROW]
[ROW][C]91[/C][C]4975[/C][C]4825.74828182117[/C][C]1657.51320549605[/C][C]3466.73851268278[/C][C]-149.251718178833[/C][/ROW]
[ROW][C]92[/C][C]4784[/C][C]4977.37033565129[/C][C]1124.95728155175[/C][C]3465.67238279696[/C][C]193.370335651291[/C][/ROW]
[ROW][C]93[/C][C]3028[/C][C]2967.44660771054[/C][C]-376.052860621676[/C][C]3464.60625291113[/C][C]-60.5533922894574[/C][/ROW]
[ROW][C]94[/C][C]2461[/C][C]2694.9196455561[/C][C]-1238.08201381677[/C][C]3465.16236826067[/C][C]233.919645556098[/C][/ROW]
[ROW][C]95[/C][C]2218[/C][C]2466.66543398867[/C][C]-1496.38391759888[/C][C]3465.71848361021[/C][C]248.665433988668[/C][/ROW]
[ROW][C]96[/C][C]1351[/C][C]1425.97592063746[/C][C]-2184.93594995197[/C][C]3460.9600293145[/C][C]74.9759206374629[/C][/ROW]
[ROW][C]97[/C][C]2070[/C][C]2032.59137523722[/C][C]-1348.79295025601[/C][C]3456.2015750188[/C][C]-37.4086247627847[/C][/ROW]
[ROW][C]98[/C][C]1887[/C][C]2053.56415078577[/C][C]-1717.27682805807[/C][C]3437.71267727231[/C][C]166.564150785765[/C][/ROW]
[ROW][C]99[/C][C]3024[/C][C]3048.71894416491[/C][C]-419.942723690722[/C][C]3419.22377952582[/C][C]24.7189441649052[/C][/ROW]
[ROW][C]100[/C][C]4596[/C][C]3971.71481967825[/C][C]1821.24051816041[/C][C]3399.04466216134[/C][C]-624.28518032175[/C][/ROW]
[ROW][C]101[/C][C]6398[/C][C]7000.43763628448[/C][C]2416.69681891865[/C][C]3378.86554479686[/C][C]602.437636284484[/C][/ROW]
[ROW][C]102[/C][C]4459[/C][C]3781.70916576849[/C][C]1761.05946023088[/C][C]3375.23137400063[/C][C]-677.290834231509[/C][/ROW]
[ROW][C]103[/C][C]5382[/C][C]5734.88959129956[/C][C]1657.51320549605[/C][C]3371.59720320439[/C][C]352.889591299557[/C][/ROW]
[ROW][C]104[/C][C]4359[/C][C]4209.74143552093[/C][C]1124.95728155175[/C][C]3383.30128292731[/C][C]-149.258564479066[/C][/ROW]
[ROW][C]105[/C][C]2687[/C][C]2355.04749797144[/C][C]-376.052860621676[/C][C]3395.00536265024[/C][C]-331.952502028562[/C][/ROW]
[ROW][C]106[/C][C]2249[/C][C]2327.2334770262[/C][C]-1238.08201381677[/C][C]3408.84853679057[/C][C]78.2334770262046[/C][/ROW]
[ROW][C]107[/C][C]2154[/C][C]2381.69220666798[/C][C]-1496.38391759888[/C][C]3422.69171093089[/C][C]227.692206667985[/C][/ROW]
[ROW][C]108[/C][C]1169[/C][C]1091.43108949931[/C][C]-2184.93594995197[/C][C]3431.50486045265[/C][C]-77.5689105006868[/C][/ROW]
[ROW][C]109[/C][C]2429[/C][C]2766.4749402816[/C][C]-1348.79295025601[/C][C]3440.31800997441[/C][C]337.474940281599[/C][/ROW]
[ROW][C]110[/C][C]1762[/C][C]1793.34102852248[/C][C]-1717.27682805807[/C][C]3447.9357995356[/C][C]31.3410285224754[/C][/ROW]
[ROW][C]111[/C][C]2846[/C][C]2656.38913459394[/C][C]-419.942723690722[/C][C]3455.55358909678[/C][C]-189.610865406058[/C][/ROW]
[ROW][C]112[/C][C]5627[/C][C]5968.44087884213[/C][C]1821.24051816041[/C][C]3464.31860299746[/C][C]341.440878842127[/C][/ROW]
[ROW][C]113[/C][C]5749[/C][C]5608.2195641832[/C][C]2416.69681891865[/C][C]3473.08361689814[/C][C]-140.780435816798[/C][/ROW]
[ROW][C]114[/C][C]4502[/C][C]3761.87701728395[/C][C]1761.05946023088[/C][C]3481.06352248516[/C][C]-740.122982716045[/C][/ROW]
[ROW][C]115[/C][C]5720[/C][C]6293.44336643177[/C][C]1657.51320549605[/C][C]3489.04342807218[/C][C]573.443366431766[/C][/ROW]
[ROW][C]116[/C][C]4403[/C][C]4178.42996929148[/C][C]1124.95728155175[/C][C]3502.61274915677[/C][C]-224.570030708523[/C][/ROW]
[ROW][C]117[/C][C]2867[/C][C]2593.87079038032[/C][C]-376.052860621676[/C][C]3516.18207024136[/C][C]-273.129209619684[/C][/ROW]
[ROW][C]118[/C][C]2635[/C][C]2961.07709646633[/C][C]-1238.08201381677[/C][C]3547.00491735044[/C][C]326.077096466331[/C][/ROW]
[ROW][C]119[/C][C]2059[/C][C]2036.55615313936[/C][C]-1496.38391759888[/C][C]3577.82776445952[/C][C]-22.4438468606404[/C][/ROW]
[ROW][C]120[/C][C]1511[/C][C]1588.45275192609[/C][C]-2184.93594995197[/C][C]3618.48319802588[/C][C]77.4527519260882[/C][/ROW]
[ROW][C]121[/C][C]2359[/C][C]2407.65431866377[/C][C]-1348.79295025601[/C][C]3659.13863159224[/C][C]48.6543186637746[/C][/ROW]
[ROW][C]122[/C][C]1741[/C][C]1509.0389938038[/C][C]-1717.27682805807[/C][C]3690.23783425427[/C][C]-231.961006196202[/C][/ROW]
[ROW][C]123[/C][C]2917[/C][C]2532.60568677441[/C][C]-419.942723690722[/C][C]3721.33703691631[/C][C]-384.394313225589[/C][/ROW]
[ROW][C]124[/C][C]6249[/C][C]6942.98981963154[/C][C]1821.24051816041[/C][C]3733.76966220805[/C][C]693.989819631539[/C][/ROW]
[ROW][C]125[/C][C]5760[/C][C]5357.10089358156[/C][C]2416.69681891865[/C][C]3746.20228749979[/C][C]-402.899106418442[/C][/ROW]
[ROW][C]126[/C][C]6250[/C][C]6981.19910650325[/C][C]1761.05946023088[/C][C]3757.74143326587[/C][C]731.199106503251[/C][/ROW]
[ROW][C]127[/C][C]5134[/C][C]4841.206215472[/C][C]1657.51320549605[/C][C]3769.28057903194[/C][C]-292.793784527997[/C][/ROW]
[ROW][C]128[/C][C]4831[/C][C]4756.92109680817[/C][C]1124.95728155175[/C][C]3780.12162164008[/C][C]-74.0789031918321[/C][/ROW]
[ROW][C]129[/C][C]3695[/C][C]3975.09019637346[/C][C]-376.052860621676[/C][C]3790.96266424822[/C][C]280.09019637346[/C][/ROW]
[ROW][C]130[/C][C]2462[/C][C]2362.2642114943[/C][C]-1238.08201381677[/C][C]3799.81780232247[/C][C]-99.7357885057031[/C][/ROW]
[ROW][C]131[/C][C]2146[/C][C]1979.71097720215[/C][C]-1496.38391759888[/C][C]3808.67294039673[/C][C]-166.289022797852[/C][/ROW]
[ROW][C]132[/C][C]1579[/C][C]1527.46314065333[/C][C]-2184.93594995197[/C][C]3815.47280929864[/C][C]-51.5368593466728[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265400&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265400&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
118941596.52385562987-1348.792950256013540.26909462615-297.476144370135
217571692.00805380737-1717.276828058073539.26877425071-64.9919461926329
335824045.67426981546-419.9427236907223538.26845387526463.674269815459
453215283.443627784111821.240518160413537.31585405548-37.55637221589
555615168.939926845652416.696818918653536.3632542357-392.060073154349
659076516.198695033951761.059460230883536.74184473517609.198695033949
749444693.36635926931657.513205496053537.12043523464-250.633640730695
849665268.361340897711124.957281551753538.68137755054302.361340897707
932583351.81054075524-376.0528606216763540.2423198664493.8105407552366
1019641625.71151157865-1238.082013816773540.37050223812-338.288488421346
1117431441.88523298908-1496.383917598883540.49868460979-301.114767010915
1212621169.5892217735-2184.935949951973539.34672817847-92.4107782265019
1320861982.59817850887-1348.792950256013538.19477174714-103.40182149113
1417931760.88208439094-1717.276828058073542.39474366713-32.117915609062
1535483969.3480081036-419.9427236907223546.59471558713421.348008103596
1656725958.90387244091821.240518160413563.85560939869286.903872440903
1760846170.18667787112416.696818918653581.1165032102586.1866778711005
1849144472.080476739191761.059460230883594.86006302992-441.919523260807
1949904713.883171654341657.513205496053608.6036228496-276.116828345657
2051395540.148113647611124.957281551753612.89460480064401.148113647609
2132183194.86727387-376.0528606216763617.18558675167-23.1327261299989
2221791955.30188797671-1238.082013816773640.78012584006-223.698112023294
2322382308.00925267042-1496.383917598883664.3746649284570.0092526704248
2414421369.5856461688-2184.935949951973699.35030378316-72.4143538311973
2522052024.46700761814-1348.792950256013734.32594263787-180.532992381861
2620252009.08463323662-1717.276828058073758.19219482145-15.9153667633782
2735313699.8842766857-419.9427236907223782.05844700503168.884276685695
2849774336.011996383231821.240518160413796.74748545636-640.988003616772
2979989767.866657173652416.696818918653811.43652390771769.86665717365
3048804181.841328334781761.059460230883817.09921143434-698.158671665223
3152314981.724895542961657.513205496053822.76189896099-249.275104457039
3252025465.295923765991124.957281551753813.74679468226263.29592376599
3333033177.32117021815-376.0528606216763804.73169040353-125.678829781854
3426832813.33656372327-1238.082013816773790.7454500935130.336563723266
3522022123.6247078154-1496.383917598883776.75920978348-78.3752921845999
3613761151.80041930949-2184.935949951973785.13553064248-224.199580690513
3724222399.28109875453-1348.792950256013793.51185150148-22.7189012454687
3819971906.01699365985-1717.276828058073805.25983439823-90.9830063401541
3931632928.93490639575-419.9427236907223817.00781729497-234.06509360425
4059646291.698496456871821.240518160413815.06098538272327.69849645687
4156575084.189027610882416.696818918653813.11415347047-572.81097238912
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Parameters (Session):
par1 = 12 ; par2 = periodic ; par3 = 0 ; par5 = 1 ; par7 = 1 ; par8 = FALSE ;
Parameters (R input):
par1 = 12 ; par2 = periodic ; par3 = 0 ; par4 = ; par5 = 1 ; par6 = ; par7 = 1 ; par8 = FALSE ;
R code (references can be found in the software module):
par1 <- as.numeric(par1) #seasonal period
if (par2 != 'periodic') par2 <- as.numeric(par2) #s.window
par3 <- as.numeric(par3) #s.degree
if (par4 == '') par4 <- NULL else par4 <- as.numeric(par4)#t.window
par5 <- as.numeric(par5)#t.degree
if (par6 != '') par6 <- as.numeric(par6)#l.window
par7 <- as.numeric(par7)#l.degree
if (par8 == 'FALSE') par8 <- FALSE else par9 <- TRUE #robust
nx <- length(x)
x <- ts(x,frequency=par1)
if (par6 != '') {
m <- stl(x,s.window=par2, s.degree=par3, t.window=par4, t.degre=par5, l.window=par6, l.degree=par7, robust=par8)
} else {
m <- stl(x,s.window=par2, s.degree=par3, t.window=par4, t.degre=par5, l.degree=par7, robust=par8)
}
m$time.series
m$win
m$deg
m$jump
m$inner
m$outer
bitmap(file='test1.png')
plot(m,main=main)
dev.off()
mylagmax <- nx/2
bitmap(file='test2.png')
op <- par(mfrow = c(2,2))
acf(as.numeric(x),lag.max = mylagmax,main='Observed')
acf(as.numeric(m$time.series[,'trend']),na.action=na.pass,lag.max = mylagmax,main='Trend')
acf(as.numeric(m$time.series[,'seasonal']),na.action=na.pass,lag.max = mylagmax,main='Seasonal')
acf(as.numeric(m$time.series[,'remainder']),na.action=na.pass,lag.max = mylagmax,main='Remainder')
par(op)
dev.off()
bitmap(file='test3.png')
op <- par(mfrow = c(2,2))
spectrum(as.numeric(x),main='Observed')
spectrum(as.numeric(m$time.series[!is.na(m$time.series[,'trend']),'trend']),main='Trend')
spectrum(as.numeric(m$time.series[!is.na(m$time.series[,'seasonal']),'seasonal']),main='Seasonal')
spectrum(as.numeric(m$time.series[!is.na(m$time.series[,'remainder']),'remainder']),main='Remainder')
par(op)
dev.off()
bitmap(file='test4.png')
op <- par(mfrow = c(2,2))
cpgram(as.numeric(x),main='Observed')
cpgram(as.numeric(m$time.series[!is.na(m$time.series[,'trend']),'trend']),main='Trend')
cpgram(as.numeric(m$time.series[!is.na(m$time.series[,'seasonal']),'seasonal']),main='Seasonal')
cpgram(as.numeric(m$time.series[!is.na(m$time.series[,'remainder']),'remainder']),main='Remainder')
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Seasonal Decomposition by Loess - Parameters',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Component',header=TRUE)
a<-table.element(a,'Window',header=TRUE)
a<-table.element(a,'Degree',header=TRUE)
a<-table.element(a,'Jump',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,m$win['s'])
a<-table.element(a,m$deg['s'])
a<-table.element(a,m$jump['s'])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Trend',header=TRUE)
a<-table.element(a,m$win['t'])
a<-table.element(a,m$deg['t'])
a<-table.element(a,m$jump['t'])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Low-pass',header=TRUE)
a<-table.element(a,m$win['l'])
a<-table.element(a,m$deg['l'])
a<-table.element(a,m$jump['l'])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Seasonal Decomposition by Loess - Time Series Components',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'t',header=TRUE)
a<-table.element(a,'Observed',header=TRUE)
a<-table.element(a,'Fitted',header=TRUE)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,'Trend',header=TRUE)
a<-table.element(a,'Remainder',header=TRUE)
a<-table.row.end(a)
for (i in 1:nx) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
a<-table.element(a,x[i]+m$time.series[i,'remainder'])
a<-table.element(a,m$time.series[i,'seasonal'])
a<-table.element(a,m$time.series[i,'trend'])
a<-table.element(a,m$time.series[i,'remainder'])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')