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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 computationSat, 10 Nov 2012 08:58:22 -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/Nov/10/t1352555969jageyvgb25zelum.htm/, Retrieved Fri, 29 Mar 2024 11:34:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=187351, Retrieved Fri, 29 Mar 2024 11:34:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact72
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Decomposition by Loess] [HPC Retail Sales] [2008-03-06 11:35:25] [74be16979710d4c4e7c6647856088456]
- RM D    [Decomposition by Loess] [Cumulative Period...] [2012-11-10 13:58:22] [c63d55528b56cf8bb48e0b5d1a959d8e] [Current]
-           [Decomposition by Loess] [Cumulative Period...] [2012-11-11 16:37:30] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
236.422
250.580
279.515
264.417
283.706
281.288
271.146
283.944
269.155
270.899
276.507
319.957
250.746
247.772
280.449
274.925
296.013
287.881
279.098
294.763
261.924
291.596
287.537
326.201
255.598
253.086
285.261
284.747
300.402
288.854
295.433
307.256
273.189
287.540
290.705
337.006
268.335
259.060
293.703
294.262
312.404
301.014
309.942
317.079
293.912
304.060
301.299
357.634
281.493
282.478
319.111
315.223
328.445
321.081
328.040
326.362
313.566
319.768
324.315
387.243
293.308
295.109
339.190
335.678
345.401
351.002
351.889
355.773
333.363
336.214
343.910
405.788
318.682
314.189
362.141
351.811
373.727
366.795
362.393
376.006
346.423
349.007
357.224
418.473
329.169
323.456
374.439
358.806
391.816
376.944
372.665
388.357
354.241
368.982
378.233
426.699
343.241
344.577
373.623
369.688
398.816
379.387
384.666
383.879
351.578
350.920
336.629
385.504
311.330
300.545
329.718
331.023
348.944
345.650
349.260
354.597
325.769
339.734
340.543
401.585
315.998
312.327
362.217
358.067
367.321
360.372
363.830
364.525
347.945
357.404
368.182
429.343




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=187351&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=187351&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=187351&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'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=187351&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=187351&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=187351&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
1236.422232.22884265222-32.2794606228595272.894617970639-4.1931573477795
2250.58262.955677515633-34.9286534333937273.13297591776112.3756775156326
3279.515283.4791431366832.17952299843307273.3713338648833.96414313668345
4264.417259.144477253844-3.99904013027762273.688562876433-5.27252274615591
5283.706279.12308344573414.283124666283274.005791887983-4.58291655426643
6281.288282.4267270626695.80166279999602274.3476101373351.13872706266937
7271.146261.6622762222045.94029539111028274.689428386686-9.483723777796
8283.944279.91369025855612.9869326459872274.987377095457-4.03030974144451
9269.155276.232469891278-13.2077956955067275.2853258042297.07746989127787
10270.899270.348372220839-4.43030815549582275.879935934657-0.550627779161005
11276.507279.110363336462-2.57090940154669276.4745460650852.60336333646188
12319.957312.48023152676550.2246301310083277.209138342226-7.47676847323481
13250.746255.827730003491-32.2794606228595277.9437306193685.08173000349137
14247.772251.996419876702-34.9286534333937278.4762335566914.22441987670248
15280.449279.7097405075532.17952299843307279.008736494014-0.739259492447445
16274.925274.225134452053-3.99904013027762279.623905678225-0.699865547946956
17296.013297.50380047128214.283124666283280.2390748624351.49080047128228
18287.881289.0515617084215.80166279999602280.9087754915831.17056170842119
19279.098270.6772284881595.94029539111028281.578476120731-8.42077151184117
20294.763294.40873857089212.9869326459872282.130328783121-0.354261429107964
21261.924254.373614249996-13.2077956955067282.682181445511-7.55038575000384
22291.596304.34884166914-4.43030815549582283.27346648635612.75284166914
23287.537293.780157874346-2.57090940154669283.8647515272016.24315787434557
24326.201317.6528730017750.2246301310083284.524496867222-8.54812699823049
25255.598258.291218415616-32.2794606228595285.1842422072432.69321841561623
26253.086255.277627206878-34.9286534333937285.8230262265152.19162720687837
27285.261281.880666755782.17952299843307286.461810245787-3.38033324422042
28284.747286.554126045133-3.99904013027762286.9389140851451.8071260451328
29300.402299.10485740921514.283124666283287.416017924502-1.29714259078526
30288.854283.8698762877185.80166279999602288.036460912286-4.98412371228233
31295.433296.2688007088195.94029539111028288.656903900070.83580070881942
32307.256312.09641041920212.9869326459872289.4286569348114.84041041920216
33273.189269.385385725956-13.2077956955067290.200409969551-3.80361427404415
34287.54288.451869457266-4.43030815549582291.058438698230.911869457266334
35290.705292.064441974639-2.57090940154669291.9164674269081.35944197463857
36337.006330.90425361210550.2246301310083292.883116256887-6.10174638789516
37268.335275.099695535994-32.2794606228595293.8497650868656.76469553599401
38259.06258.035854519448-34.9286534333937295.012798913946-1.02414548055248
39293.703289.050644260542.17952299843307296.175832741027-4.65235573946006
40294.262295.026709379473-3.99904013027762297.4963307508040.764709379473345
41312.404311.70804657313614.283124666283298.816828760582-0.695953426864492
42301.014295.9724729490095.80166279999602300.253864250995-5.04152705099119
43309.942312.2528048674815.94029539111028301.6908997414092.31080486748084
44317.079317.78870222132712.9869326459872303.3823651326860.709702221326552
45293.912295.957965171543-13.2077956955067305.0738305239642.04596517154317
46304.06305.699222891031-4.43030815549582306.8510852644651.63922289103078
47301.299296.54056939658-2.57090940154669308.628340004967-4.75843060341987
48357.634354.89350655931550.2246301310083310.149863309677-2.74049344068493
49281.493283.594074008473-32.2794606228595311.6713866143872.10107400847284
50282.478286.863592262417-34.9286534333937313.0210611709774.38559226241654
51319.111321.6717412739992.17952299843307314.3707357275682.56074127399927
52315.223318.576901534357-3.99904013027762315.868138595923.35390153435714
53328.445325.24133386944414.283124666283317.365541464273-3.20366613055626
54321.081317.4239201920445.80166279999602318.936417007961-3.65707980795651
55328.04329.6324120572425.94029539111028320.5072925516481.59241205724197
56326.362317.72481348751912.9869326459872322.012253866494-8.63718651248081
57313.566316.822580514167-13.2077956955067323.5172151813393.25658051416724
58319.768318.746146635745-4.43030815549582325.220161519751-1.02185336425504
59324.315324.277801543385-2.57090940154669326.923107858162-0.0371984566154424
60387.243395.32113880148950.2246301310083328.9402310675038.07813880148905
61293.308287.938106346016-32.2794606228595330.957354276843-5.36989365398358
62295.109292.217541809334-34.9286534333937332.92911162406-2.89145819066613
63339.19341.299608030292.17952299843307334.9008689712772.10960803029042
64335.678338.733158539651-3.99904013027762336.6218815906263.05515853965147
65345.401338.17598112374114.283124666283338.342894209976-7.22501887625873
66351.002356.1822006328775.80166279999602340.0201365671275.18020063287747
67351.889356.1403256846125.94029539111028341.6973789242774.25132568461248
68355.773355.11559145673712.9869326459872343.443475897276-0.657408543262704
69333.363334.744222825233-13.2077956955067345.1895728702741.38122282523295
70336.214329.993912514208-4.43030815549582346.864395641288-6.22008748579213
71343.91341.851690989245-2.57090940154669348.539218412302-2.05830901075547
72405.788411.25515598556250.2246301310083350.096213883435.4671559855617
73318.682317.990251268302-32.2794606228595351.653209354558-0.691748731698226
74314.189310.2821162017-34.9286534333937353.024537231693-3.90688379829959
75362.141367.7066118927382.17952299843307354.3958651088295.56561189273805
76351.811352.073385771301-3.99904013027762355.5476543589770.262385771300728
77373.727376.47143172459214.283124666283356.6994436091252.74443172459229
78366.795370.1735195318265.80166279999602357.6148176681783.3785195318257
79362.393360.3155128816585.94029539111028358.530191727232-2.07748711834222
80376.006379.69357014203712.9869326459872359.3314972119763.68757014203692
81346.423345.920992998787-13.2077956955067360.13280269672-0.502007001213087
82349.007341.433621138635-4.43030815549582361.010687016861-7.57337886136514
83357.224355.130338064545-2.57090940154669361.888571337002-2.09366193545549
84418.473423.80097026139750.2246301310083362.9203996075955.32797026139718
85329.169326.665232744673-32.2794606228595363.952227878187-2.50376725532726
86323.456316.770770309803-34.9286534333937365.069883123591-6.68522969019682
87374.439380.5109386325732.17952299843307366.1875383689946.07193863257265
88358.806354.187202112836-3.99904013027762367.423838017441-4.61879788716362
89391.816400.68873766782914.283124666283368.6601376658888.87273766782886
90376.944378.2037923720165.80166279999602369.8825448279881.2597923720158
91372.665368.2847526188015.94029539111028371.104951990088-4.38024738119856
92388.357391.6491817319612.9869326459872372.0778856220523.2921817319604
93354.241348.63897644149-13.2077956955067373.050819254017-5.60202355850981
94368.982368.67945394723-4.43030815549582373.714854208265-0.302546052769571
95378.233384.658020239032-2.57090940154669374.3788891625146.42502023903239
96426.699428.29191145285550.2246301310083374.8814584161371.59291145285459
97343.241343.3774329531-32.2794606228595375.384027669760.1364329530997
98344.577348.737913123715-34.9286534333937375.3447403096794.16091312371498
99373.623369.7610240519692.17952299843307375.305452949598-3.8619759480307
100369.688369.56523220448-3.99904013027762373.809807925798-0.122767795520303
101398.816411.03471243171914.283124666283372.31416290199812.2187124317189
102379.387383.5669007650065.80166279999602369.4054364349984.17990076500649
103384.666396.8949946408935.94029539111028366.49670996799712.2289946408928
104383.879391.97051270817112.9869326459872362.8005546458428.09151270817051
105351.578357.259396371819-13.2077956955067359.1043993236885.68139637181901
106350.92351.122227924462-4.43030815549582355.1480802310340.202227924461965
107336.629324.637148263167-2.57090940154669351.19176113838-11.9918517368333
108385.504373.07021649976150.2246301310083347.71315336923-12.4337835002386
109311.33310.704915022779-32.2794606228595344.234545600081-0.625084977221093
110300.545293.98797096231-34.9286534333937342.030682471084-6.55702903769037
111329.718317.4296576594792.17952299843307339.826819342088-12.2883423405207
112331.023326.832824806269-3.99904013027762339.212215324008-4.19017519373079
113348.944345.00726402778814.283124666283338.597611305929-3.9367359722122
114345.65346.2135595682455.80166279999602339.2847776317590.563559568244898
115349.26352.6077606513015.94029539111028339.9719439575893.34776065130086
116354.597354.77271991582412.9869326459872341.4343474381880.175719915824288
117325.769321.849044776719-13.2077956955067342.896750918788-3.91995522328136
118339.734339.187599298619-4.43030815549582344.710708856876-0.546400701380492
119340.543337.132242606582-2.57090940154669346.524666794965-3.41075739341778
120401.585404.8601954770150.2246301310083348.0851743919813.27519547701047
121315.998314.629778633862-32.2794606228595349.645681988998-1.36822136613836
122312.327308.553149280809-34.9286534333937351.029504152585-3.77385071919093
123362.217369.8411506853952.17952299843307352.4133263161717.62415068539548
124358.067365.980365866674-3.99904013027762354.1526742636047.91336586667364
125367.321364.46685312268114.283124666283355.892022211036-2.85414687731941
126360.372357.079973962975.80166279999602357.862363237034-3.29202603702976
127363.83361.8870003458595.94029539111028359.832704263031-1.94299965414137
128364.525354.29578392703212.9869326459872361.767283426981-10.2292160729684
129347.945345.395933104575-13.2077956955067363.701862590931-2.54906689542452
130357.404353.603395317381-4.43030815549582365.634912838115-3.80060468261922
131368.182371.366946316248-2.57090940154669367.5679630852993.18494631624787
132429.343438.91199289666850.2246301310083369.5493769723249.56899289666768

\begin{tabular}{lllllllll}
\hline
Seasonal Decomposition by Loess - Time Series Components \tabularnewline
t & Observed & Fitted & Seasonal & Trend & Remainder \tabularnewline
1 & 236.422 & 232.22884265222 & -32.2794606228595 & 272.894617970639 & -4.1931573477795 \tabularnewline
2 & 250.58 & 262.955677515633 & -34.9286534333937 & 273.132975917761 & 12.3756775156326 \tabularnewline
3 & 279.515 & 283.479143136683 & 2.17952299843307 & 273.371333864883 & 3.96414313668345 \tabularnewline
4 & 264.417 & 259.144477253844 & -3.99904013027762 & 273.688562876433 & -5.27252274615591 \tabularnewline
5 & 283.706 & 279.123083445734 & 14.283124666283 & 274.005791887983 & -4.58291655426643 \tabularnewline
6 & 281.288 & 282.426727062669 & 5.80166279999602 & 274.347610137335 & 1.13872706266937 \tabularnewline
7 & 271.146 & 261.662276222204 & 5.94029539111028 & 274.689428386686 & -9.483723777796 \tabularnewline
8 & 283.944 & 279.913690258556 & 12.9869326459872 & 274.987377095457 & -4.03030974144451 \tabularnewline
9 & 269.155 & 276.232469891278 & -13.2077956955067 & 275.285325804229 & 7.07746989127787 \tabularnewline
10 & 270.899 & 270.348372220839 & -4.43030815549582 & 275.879935934657 & -0.550627779161005 \tabularnewline
11 & 276.507 & 279.110363336462 & -2.57090940154669 & 276.474546065085 & 2.60336333646188 \tabularnewline
12 & 319.957 & 312.480231526765 & 50.2246301310083 & 277.209138342226 & -7.47676847323481 \tabularnewline
13 & 250.746 & 255.827730003491 & -32.2794606228595 & 277.943730619368 & 5.08173000349137 \tabularnewline
14 & 247.772 & 251.996419876702 & -34.9286534333937 & 278.476233556691 & 4.22441987670248 \tabularnewline
15 & 280.449 & 279.709740507553 & 2.17952299843307 & 279.008736494014 & -0.739259492447445 \tabularnewline
16 & 274.925 & 274.225134452053 & -3.99904013027762 & 279.623905678225 & -0.699865547946956 \tabularnewline
17 & 296.013 & 297.503800471282 & 14.283124666283 & 280.239074862435 & 1.49080047128228 \tabularnewline
18 & 287.881 & 289.051561708421 & 5.80166279999602 & 280.908775491583 & 1.17056170842119 \tabularnewline
19 & 279.098 & 270.677228488159 & 5.94029539111028 & 281.578476120731 & -8.42077151184117 \tabularnewline
20 & 294.763 & 294.408738570892 & 12.9869326459872 & 282.130328783121 & -0.354261429107964 \tabularnewline
21 & 261.924 & 254.373614249996 & -13.2077956955067 & 282.682181445511 & -7.55038575000384 \tabularnewline
22 & 291.596 & 304.34884166914 & -4.43030815549582 & 283.273466486356 & 12.75284166914 \tabularnewline
23 & 287.537 & 293.780157874346 & -2.57090940154669 & 283.864751527201 & 6.24315787434557 \tabularnewline
24 & 326.201 & 317.65287300177 & 50.2246301310083 & 284.524496867222 & -8.54812699823049 \tabularnewline
25 & 255.598 & 258.291218415616 & -32.2794606228595 & 285.184242207243 & 2.69321841561623 \tabularnewline
26 & 253.086 & 255.277627206878 & -34.9286534333937 & 285.823026226515 & 2.19162720687837 \tabularnewline
27 & 285.261 & 281.88066675578 & 2.17952299843307 & 286.461810245787 & -3.38033324422042 \tabularnewline
28 & 284.747 & 286.554126045133 & -3.99904013027762 & 286.938914085145 & 1.8071260451328 \tabularnewline
29 & 300.402 & 299.104857409215 & 14.283124666283 & 287.416017924502 & -1.29714259078526 \tabularnewline
30 & 288.854 & 283.869876287718 & 5.80166279999602 & 288.036460912286 & -4.98412371228233 \tabularnewline
31 & 295.433 & 296.268800708819 & 5.94029539111028 & 288.65690390007 & 0.83580070881942 \tabularnewline
32 & 307.256 & 312.096410419202 & 12.9869326459872 & 289.428656934811 & 4.84041041920216 \tabularnewline
33 & 273.189 & 269.385385725956 & -13.2077956955067 & 290.200409969551 & -3.80361427404415 \tabularnewline
34 & 287.54 & 288.451869457266 & -4.43030815549582 & 291.05843869823 & 0.911869457266334 \tabularnewline
35 & 290.705 & 292.064441974639 & -2.57090940154669 & 291.916467426908 & 1.35944197463857 \tabularnewline
36 & 337.006 & 330.904253612105 & 50.2246301310083 & 292.883116256887 & -6.10174638789516 \tabularnewline
37 & 268.335 & 275.099695535994 & -32.2794606228595 & 293.849765086865 & 6.76469553599401 \tabularnewline
38 & 259.06 & 258.035854519448 & -34.9286534333937 & 295.012798913946 & -1.02414548055248 \tabularnewline
39 & 293.703 & 289.05064426054 & 2.17952299843307 & 296.175832741027 & -4.65235573946006 \tabularnewline
40 & 294.262 & 295.026709379473 & -3.99904013027762 & 297.496330750804 & 0.764709379473345 \tabularnewline
41 & 312.404 & 311.708046573136 & 14.283124666283 & 298.816828760582 & -0.695953426864492 \tabularnewline
42 & 301.014 & 295.972472949009 & 5.80166279999602 & 300.253864250995 & -5.04152705099119 \tabularnewline
43 & 309.942 & 312.252804867481 & 5.94029539111028 & 301.690899741409 & 2.31080486748084 \tabularnewline
44 & 317.079 & 317.788702221327 & 12.9869326459872 & 303.382365132686 & 0.709702221326552 \tabularnewline
45 & 293.912 & 295.957965171543 & -13.2077956955067 & 305.073830523964 & 2.04596517154317 \tabularnewline
46 & 304.06 & 305.699222891031 & -4.43030815549582 & 306.851085264465 & 1.63922289103078 \tabularnewline
47 & 301.299 & 296.54056939658 & -2.57090940154669 & 308.628340004967 & -4.75843060341987 \tabularnewline
48 & 357.634 & 354.893506559315 & 50.2246301310083 & 310.149863309677 & -2.74049344068493 \tabularnewline
49 & 281.493 & 283.594074008473 & -32.2794606228595 & 311.671386614387 & 2.10107400847284 \tabularnewline
50 & 282.478 & 286.863592262417 & -34.9286534333937 & 313.021061170977 & 4.38559226241654 \tabularnewline
51 & 319.111 & 321.671741273999 & 2.17952299843307 & 314.370735727568 & 2.56074127399927 \tabularnewline
52 & 315.223 & 318.576901534357 & -3.99904013027762 & 315.86813859592 & 3.35390153435714 \tabularnewline
53 & 328.445 & 325.241333869444 & 14.283124666283 & 317.365541464273 & -3.20366613055626 \tabularnewline
54 & 321.081 & 317.423920192044 & 5.80166279999602 & 318.936417007961 & -3.65707980795651 \tabularnewline
55 & 328.04 & 329.632412057242 & 5.94029539111028 & 320.507292551648 & 1.59241205724197 \tabularnewline
56 & 326.362 & 317.724813487519 & 12.9869326459872 & 322.012253866494 & -8.63718651248081 \tabularnewline
57 & 313.566 & 316.822580514167 & -13.2077956955067 & 323.517215181339 & 3.25658051416724 \tabularnewline
58 & 319.768 & 318.746146635745 & -4.43030815549582 & 325.220161519751 & -1.02185336425504 \tabularnewline
59 & 324.315 & 324.277801543385 & -2.57090940154669 & 326.923107858162 & -0.0371984566154424 \tabularnewline
60 & 387.243 & 395.321138801489 & 50.2246301310083 & 328.940231067503 & 8.07813880148905 \tabularnewline
61 & 293.308 & 287.938106346016 & -32.2794606228595 & 330.957354276843 & -5.36989365398358 \tabularnewline
62 & 295.109 & 292.217541809334 & -34.9286534333937 & 332.92911162406 & -2.89145819066613 \tabularnewline
63 & 339.19 & 341.29960803029 & 2.17952299843307 & 334.900868971277 & 2.10960803029042 \tabularnewline
64 & 335.678 & 338.733158539651 & -3.99904013027762 & 336.621881590626 & 3.05515853965147 \tabularnewline
65 & 345.401 & 338.175981123741 & 14.283124666283 & 338.342894209976 & -7.22501887625873 \tabularnewline
66 & 351.002 & 356.182200632877 & 5.80166279999602 & 340.020136567127 & 5.18020063287747 \tabularnewline
67 & 351.889 & 356.140325684612 & 5.94029539111028 & 341.697378924277 & 4.25132568461248 \tabularnewline
68 & 355.773 & 355.115591456737 & 12.9869326459872 & 343.443475897276 & -0.657408543262704 \tabularnewline
69 & 333.363 & 334.744222825233 & -13.2077956955067 & 345.189572870274 & 1.38122282523295 \tabularnewline
70 & 336.214 & 329.993912514208 & -4.43030815549582 & 346.864395641288 & -6.22008748579213 \tabularnewline
71 & 343.91 & 341.851690989245 & -2.57090940154669 & 348.539218412302 & -2.05830901075547 \tabularnewline
72 & 405.788 & 411.255155985562 & 50.2246301310083 & 350.09621388343 & 5.4671559855617 \tabularnewline
73 & 318.682 & 317.990251268302 & -32.2794606228595 & 351.653209354558 & -0.691748731698226 \tabularnewline
74 & 314.189 & 310.2821162017 & -34.9286534333937 & 353.024537231693 & -3.90688379829959 \tabularnewline
75 & 362.141 & 367.706611892738 & 2.17952299843307 & 354.395865108829 & 5.56561189273805 \tabularnewline
76 & 351.811 & 352.073385771301 & -3.99904013027762 & 355.547654358977 & 0.262385771300728 \tabularnewline
77 & 373.727 & 376.471431724592 & 14.283124666283 & 356.699443609125 & 2.74443172459229 \tabularnewline
78 & 366.795 & 370.173519531826 & 5.80166279999602 & 357.614817668178 & 3.3785195318257 \tabularnewline
79 & 362.393 & 360.315512881658 & 5.94029539111028 & 358.530191727232 & -2.07748711834222 \tabularnewline
80 & 376.006 & 379.693570142037 & 12.9869326459872 & 359.331497211976 & 3.68757014203692 \tabularnewline
81 & 346.423 & 345.920992998787 & -13.2077956955067 & 360.13280269672 & -0.502007001213087 \tabularnewline
82 & 349.007 & 341.433621138635 & -4.43030815549582 & 361.010687016861 & -7.57337886136514 \tabularnewline
83 & 357.224 & 355.130338064545 & -2.57090940154669 & 361.888571337002 & -2.09366193545549 \tabularnewline
84 & 418.473 & 423.800970261397 & 50.2246301310083 & 362.920399607595 & 5.32797026139718 \tabularnewline
85 & 329.169 & 326.665232744673 & -32.2794606228595 & 363.952227878187 & -2.50376725532726 \tabularnewline
86 & 323.456 & 316.770770309803 & -34.9286534333937 & 365.069883123591 & -6.68522969019682 \tabularnewline
87 & 374.439 & 380.510938632573 & 2.17952299843307 & 366.187538368994 & 6.07193863257265 \tabularnewline
88 & 358.806 & 354.187202112836 & -3.99904013027762 & 367.423838017441 & -4.61879788716362 \tabularnewline
89 & 391.816 & 400.688737667829 & 14.283124666283 & 368.660137665888 & 8.87273766782886 \tabularnewline
90 & 376.944 & 378.203792372016 & 5.80166279999602 & 369.882544827988 & 1.2597923720158 \tabularnewline
91 & 372.665 & 368.284752618801 & 5.94029539111028 & 371.104951990088 & -4.38024738119856 \tabularnewline
92 & 388.357 & 391.64918173196 & 12.9869326459872 & 372.077885622052 & 3.2921817319604 \tabularnewline
93 & 354.241 & 348.63897644149 & -13.2077956955067 & 373.050819254017 & -5.60202355850981 \tabularnewline
94 & 368.982 & 368.67945394723 & -4.43030815549582 & 373.714854208265 & -0.302546052769571 \tabularnewline
95 & 378.233 & 384.658020239032 & -2.57090940154669 & 374.378889162514 & 6.42502023903239 \tabularnewline
96 & 426.699 & 428.291911452855 & 50.2246301310083 & 374.881458416137 & 1.59291145285459 \tabularnewline
97 & 343.241 & 343.3774329531 & -32.2794606228595 & 375.38402766976 & 0.1364329530997 \tabularnewline
98 & 344.577 & 348.737913123715 & -34.9286534333937 & 375.344740309679 & 4.16091312371498 \tabularnewline
99 & 373.623 & 369.761024051969 & 2.17952299843307 & 375.305452949598 & -3.8619759480307 \tabularnewline
100 & 369.688 & 369.56523220448 & -3.99904013027762 & 373.809807925798 & -0.122767795520303 \tabularnewline
101 & 398.816 & 411.034712431719 & 14.283124666283 & 372.314162901998 & 12.2187124317189 \tabularnewline
102 & 379.387 & 383.566900765006 & 5.80166279999602 & 369.405436434998 & 4.17990076500649 \tabularnewline
103 & 384.666 & 396.894994640893 & 5.94029539111028 & 366.496709967997 & 12.2289946408928 \tabularnewline
104 & 383.879 & 391.970512708171 & 12.9869326459872 & 362.800554645842 & 8.09151270817051 \tabularnewline
105 & 351.578 & 357.259396371819 & -13.2077956955067 & 359.104399323688 & 5.68139637181901 \tabularnewline
106 & 350.92 & 351.122227924462 & -4.43030815549582 & 355.148080231034 & 0.202227924461965 \tabularnewline
107 & 336.629 & 324.637148263167 & -2.57090940154669 & 351.19176113838 & -11.9918517368333 \tabularnewline
108 & 385.504 & 373.070216499761 & 50.2246301310083 & 347.71315336923 & -12.4337835002386 \tabularnewline
109 & 311.33 & 310.704915022779 & -32.2794606228595 & 344.234545600081 & -0.625084977221093 \tabularnewline
110 & 300.545 & 293.98797096231 & -34.9286534333937 & 342.030682471084 & -6.55702903769037 \tabularnewline
111 & 329.718 & 317.429657659479 & 2.17952299843307 & 339.826819342088 & -12.2883423405207 \tabularnewline
112 & 331.023 & 326.832824806269 & -3.99904013027762 & 339.212215324008 & -4.19017519373079 \tabularnewline
113 & 348.944 & 345.007264027788 & 14.283124666283 & 338.597611305929 & -3.9367359722122 \tabularnewline
114 & 345.65 & 346.213559568245 & 5.80166279999602 & 339.284777631759 & 0.563559568244898 \tabularnewline
115 & 349.26 & 352.607760651301 & 5.94029539111028 & 339.971943957589 & 3.34776065130086 \tabularnewline
116 & 354.597 & 354.772719915824 & 12.9869326459872 & 341.434347438188 & 0.175719915824288 \tabularnewline
117 & 325.769 & 321.849044776719 & -13.2077956955067 & 342.896750918788 & -3.91995522328136 \tabularnewline
118 & 339.734 & 339.187599298619 & -4.43030815549582 & 344.710708856876 & -0.546400701380492 \tabularnewline
119 & 340.543 & 337.132242606582 & -2.57090940154669 & 346.524666794965 & -3.41075739341778 \tabularnewline
120 & 401.585 & 404.86019547701 & 50.2246301310083 & 348.085174391981 & 3.27519547701047 \tabularnewline
121 & 315.998 & 314.629778633862 & -32.2794606228595 & 349.645681988998 & -1.36822136613836 \tabularnewline
122 & 312.327 & 308.553149280809 & -34.9286534333937 & 351.029504152585 & -3.77385071919093 \tabularnewline
123 & 362.217 & 369.841150685395 & 2.17952299843307 & 352.413326316171 & 7.62415068539548 \tabularnewline
124 & 358.067 & 365.980365866674 & -3.99904013027762 & 354.152674263604 & 7.91336586667364 \tabularnewline
125 & 367.321 & 364.466853122681 & 14.283124666283 & 355.892022211036 & -2.85414687731941 \tabularnewline
126 & 360.372 & 357.07997396297 & 5.80166279999602 & 357.862363237034 & -3.29202603702976 \tabularnewline
127 & 363.83 & 361.887000345859 & 5.94029539111028 & 359.832704263031 & -1.94299965414137 \tabularnewline
128 & 364.525 & 354.295783927032 & 12.9869326459872 & 361.767283426981 & -10.2292160729684 \tabularnewline
129 & 347.945 & 345.395933104575 & -13.2077956955067 & 363.701862590931 & -2.54906689542452 \tabularnewline
130 & 357.404 & 353.603395317381 & -4.43030815549582 & 365.634912838115 & -3.80060468261922 \tabularnewline
131 & 368.182 & 371.366946316248 & -2.57090940154669 & 367.567963085299 & 3.18494631624787 \tabularnewline
132 & 429.343 & 438.911992896668 & 50.2246301310083 & 369.549376972324 & 9.56899289666768 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=187351&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]236.422[/C][C]232.22884265222[/C][C]-32.2794606228595[/C][C]272.894617970639[/C][C]-4.1931573477795[/C][/ROW]
[ROW][C]2[/C][C]250.58[/C][C]262.955677515633[/C][C]-34.9286534333937[/C][C]273.132975917761[/C][C]12.3756775156326[/C][/ROW]
[ROW][C]3[/C][C]279.515[/C][C]283.479143136683[/C][C]2.17952299843307[/C][C]273.371333864883[/C][C]3.96414313668345[/C][/ROW]
[ROW][C]4[/C][C]264.417[/C][C]259.144477253844[/C][C]-3.99904013027762[/C][C]273.688562876433[/C][C]-5.27252274615591[/C][/ROW]
[ROW][C]5[/C][C]283.706[/C][C]279.123083445734[/C][C]14.283124666283[/C][C]274.005791887983[/C][C]-4.58291655426643[/C][/ROW]
[ROW][C]6[/C][C]281.288[/C][C]282.426727062669[/C][C]5.80166279999602[/C][C]274.347610137335[/C][C]1.13872706266937[/C][/ROW]
[ROW][C]7[/C][C]271.146[/C][C]261.662276222204[/C][C]5.94029539111028[/C][C]274.689428386686[/C][C]-9.483723777796[/C][/ROW]
[ROW][C]8[/C][C]283.944[/C][C]279.913690258556[/C][C]12.9869326459872[/C][C]274.987377095457[/C][C]-4.03030974144451[/C][/ROW]
[ROW][C]9[/C][C]269.155[/C][C]276.232469891278[/C][C]-13.2077956955067[/C][C]275.285325804229[/C][C]7.07746989127787[/C][/ROW]
[ROW][C]10[/C][C]270.899[/C][C]270.348372220839[/C][C]-4.43030815549582[/C][C]275.879935934657[/C][C]-0.550627779161005[/C][/ROW]
[ROW][C]11[/C][C]276.507[/C][C]279.110363336462[/C][C]-2.57090940154669[/C][C]276.474546065085[/C][C]2.60336333646188[/C][/ROW]
[ROW][C]12[/C][C]319.957[/C][C]312.480231526765[/C][C]50.2246301310083[/C][C]277.209138342226[/C][C]-7.47676847323481[/C][/ROW]
[ROW][C]13[/C][C]250.746[/C][C]255.827730003491[/C][C]-32.2794606228595[/C][C]277.943730619368[/C][C]5.08173000349137[/C][/ROW]
[ROW][C]14[/C][C]247.772[/C][C]251.996419876702[/C][C]-34.9286534333937[/C][C]278.476233556691[/C][C]4.22441987670248[/C][/ROW]
[ROW][C]15[/C][C]280.449[/C][C]279.709740507553[/C][C]2.17952299843307[/C][C]279.008736494014[/C][C]-0.739259492447445[/C][/ROW]
[ROW][C]16[/C][C]274.925[/C][C]274.225134452053[/C][C]-3.99904013027762[/C][C]279.623905678225[/C][C]-0.699865547946956[/C][/ROW]
[ROW][C]17[/C][C]296.013[/C][C]297.503800471282[/C][C]14.283124666283[/C][C]280.239074862435[/C][C]1.49080047128228[/C][/ROW]
[ROW][C]18[/C][C]287.881[/C][C]289.051561708421[/C][C]5.80166279999602[/C][C]280.908775491583[/C][C]1.17056170842119[/C][/ROW]
[ROW][C]19[/C][C]279.098[/C][C]270.677228488159[/C][C]5.94029539111028[/C][C]281.578476120731[/C][C]-8.42077151184117[/C][/ROW]
[ROW][C]20[/C][C]294.763[/C][C]294.408738570892[/C][C]12.9869326459872[/C][C]282.130328783121[/C][C]-0.354261429107964[/C][/ROW]
[ROW][C]21[/C][C]261.924[/C][C]254.373614249996[/C][C]-13.2077956955067[/C][C]282.682181445511[/C][C]-7.55038575000384[/C][/ROW]
[ROW][C]22[/C][C]291.596[/C][C]304.34884166914[/C][C]-4.43030815549582[/C][C]283.273466486356[/C][C]12.75284166914[/C][/ROW]
[ROW][C]23[/C][C]287.537[/C][C]293.780157874346[/C][C]-2.57090940154669[/C][C]283.864751527201[/C][C]6.24315787434557[/C][/ROW]
[ROW][C]24[/C][C]326.201[/C][C]317.65287300177[/C][C]50.2246301310083[/C][C]284.524496867222[/C][C]-8.54812699823049[/C][/ROW]
[ROW][C]25[/C][C]255.598[/C][C]258.291218415616[/C][C]-32.2794606228595[/C][C]285.184242207243[/C][C]2.69321841561623[/C][/ROW]
[ROW][C]26[/C][C]253.086[/C][C]255.277627206878[/C][C]-34.9286534333937[/C][C]285.823026226515[/C][C]2.19162720687837[/C][/ROW]
[ROW][C]27[/C][C]285.261[/C][C]281.88066675578[/C][C]2.17952299843307[/C][C]286.461810245787[/C][C]-3.38033324422042[/C][/ROW]
[ROW][C]28[/C][C]284.747[/C][C]286.554126045133[/C][C]-3.99904013027762[/C][C]286.938914085145[/C][C]1.8071260451328[/C][/ROW]
[ROW][C]29[/C][C]300.402[/C][C]299.104857409215[/C][C]14.283124666283[/C][C]287.416017924502[/C][C]-1.29714259078526[/C][/ROW]
[ROW][C]30[/C][C]288.854[/C][C]283.869876287718[/C][C]5.80166279999602[/C][C]288.036460912286[/C][C]-4.98412371228233[/C][/ROW]
[ROW][C]31[/C][C]295.433[/C][C]296.268800708819[/C][C]5.94029539111028[/C][C]288.65690390007[/C][C]0.83580070881942[/C][/ROW]
[ROW][C]32[/C][C]307.256[/C][C]312.096410419202[/C][C]12.9869326459872[/C][C]289.428656934811[/C][C]4.84041041920216[/C][/ROW]
[ROW][C]33[/C][C]273.189[/C][C]269.385385725956[/C][C]-13.2077956955067[/C][C]290.200409969551[/C][C]-3.80361427404415[/C][/ROW]
[ROW][C]34[/C][C]287.54[/C][C]288.451869457266[/C][C]-4.43030815549582[/C][C]291.05843869823[/C][C]0.911869457266334[/C][/ROW]
[ROW][C]35[/C][C]290.705[/C][C]292.064441974639[/C][C]-2.57090940154669[/C][C]291.916467426908[/C][C]1.35944197463857[/C][/ROW]
[ROW][C]36[/C][C]337.006[/C][C]330.904253612105[/C][C]50.2246301310083[/C][C]292.883116256887[/C][C]-6.10174638789516[/C][/ROW]
[ROW][C]37[/C][C]268.335[/C][C]275.099695535994[/C][C]-32.2794606228595[/C][C]293.849765086865[/C][C]6.76469553599401[/C][/ROW]
[ROW][C]38[/C][C]259.06[/C][C]258.035854519448[/C][C]-34.9286534333937[/C][C]295.012798913946[/C][C]-1.02414548055248[/C][/ROW]
[ROW][C]39[/C][C]293.703[/C][C]289.05064426054[/C][C]2.17952299843307[/C][C]296.175832741027[/C][C]-4.65235573946006[/C][/ROW]
[ROW][C]40[/C][C]294.262[/C][C]295.026709379473[/C][C]-3.99904013027762[/C][C]297.496330750804[/C][C]0.764709379473345[/C][/ROW]
[ROW][C]41[/C][C]312.404[/C][C]311.708046573136[/C][C]14.283124666283[/C][C]298.816828760582[/C][C]-0.695953426864492[/C][/ROW]
[ROW][C]42[/C][C]301.014[/C][C]295.972472949009[/C][C]5.80166279999602[/C][C]300.253864250995[/C][C]-5.04152705099119[/C][/ROW]
[ROW][C]43[/C][C]309.942[/C][C]312.252804867481[/C][C]5.94029539111028[/C][C]301.690899741409[/C][C]2.31080486748084[/C][/ROW]
[ROW][C]44[/C][C]317.079[/C][C]317.788702221327[/C][C]12.9869326459872[/C][C]303.382365132686[/C][C]0.709702221326552[/C][/ROW]
[ROW][C]45[/C][C]293.912[/C][C]295.957965171543[/C][C]-13.2077956955067[/C][C]305.073830523964[/C][C]2.04596517154317[/C][/ROW]
[ROW][C]46[/C][C]304.06[/C][C]305.699222891031[/C][C]-4.43030815549582[/C][C]306.851085264465[/C][C]1.63922289103078[/C][/ROW]
[ROW][C]47[/C][C]301.299[/C][C]296.54056939658[/C][C]-2.57090940154669[/C][C]308.628340004967[/C][C]-4.75843060341987[/C][/ROW]
[ROW][C]48[/C][C]357.634[/C][C]354.893506559315[/C][C]50.2246301310083[/C][C]310.149863309677[/C][C]-2.74049344068493[/C][/ROW]
[ROW][C]49[/C][C]281.493[/C][C]283.594074008473[/C][C]-32.2794606228595[/C][C]311.671386614387[/C][C]2.10107400847284[/C][/ROW]
[ROW][C]50[/C][C]282.478[/C][C]286.863592262417[/C][C]-34.9286534333937[/C][C]313.021061170977[/C][C]4.38559226241654[/C][/ROW]
[ROW][C]51[/C][C]319.111[/C][C]321.671741273999[/C][C]2.17952299843307[/C][C]314.370735727568[/C][C]2.56074127399927[/C][/ROW]
[ROW][C]52[/C][C]315.223[/C][C]318.576901534357[/C][C]-3.99904013027762[/C][C]315.86813859592[/C][C]3.35390153435714[/C][/ROW]
[ROW][C]53[/C][C]328.445[/C][C]325.241333869444[/C][C]14.283124666283[/C][C]317.365541464273[/C][C]-3.20366613055626[/C][/ROW]
[ROW][C]54[/C][C]321.081[/C][C]317.423920192044[/C][C]5.80166279999602[/C][C]318.936417007961[/C][C]-3.65707980795651[/C][/ROW]
[ROW][C]55[/C][C]328.04[/C][C]329.632412057242[/C][C]5.94029539111028[/C][C]320.507292551648[/C][C]1.59241205724197[/C][/ROW]
[ROW][C]56[/C][C]326.362[/C][C]317.724813487519[/C][C]12.9869326459872[/C][C]322.012253866494[/C][C]-8.63718651248081[/C][/ROW]
[ROW][C]57[/C][C]313.566[/C][C]316.822580514167[/C][C]-13.2077956955067[/C][C]323.517215181339[/C][C]3.25658051416724[/C][/ROW]
[ROW][C]58[/C][C]319.768[/C][C]318.746146635745[/C][C]-4.43030815549582[/C][C]325.220161519751[/C][C]-1.02185336425504[/C][/ROW]
[ROW][C]59[/C][C]324.315[/C][C]324.277801543385[/C][C]-2.57090940154669[/C][C]326.923107858162[/C][C]-0.0371984566154424[/C][/ROW]
[ROW][C]60[/C][C]387.243[/C][C]395.321138801489[/C][C]50.2246301310083[/C][C]328.940231067503[/C][C]8.07813880148905[/C][/ROW]
[ROW][C]61[/C][C]293.308[/C][C]287.938106346016[/C][C]-32.2794606228595[/C][C]330.957354276843[/C][C]-5.36989365398358[/C][/ROW]
[ROW][C]62[/C][C]295.109[/C][C]292.217541809334[/C][C]-34.9286534333937[/C][C]332.92911162406[/C][C]-2.89145819066613[/C][/ROW]
[ROW][C]63[/C][C]339.19[/C][C]341.29960803029[/C][C]2.17952299843307[/C][C]334.900868971277[/C][C]2.10960803029042[/C][/ROW]
[ROW][C]64[/C][C]335.678[/C][C]338.733158539651[/C][C]-3.99904013027762[/C][C]336.621881590626[/C][C]3.05515853965147[/C][/ROW]
[ROW][C]65[/C][C]345.401[/C][C]338.175981123741[/C][C]14.283124666283[/C][C]338.342894209976[/C][C]-7.22501887625873[/C][/ROW]
[ROW][C]66[/C][C]351.002[/C][C]356.182200632877[/C][C]5.80166279999602[/C][C]340.020136567127[/C][C]5.18020063287747[/C][/ROW]
[ROW][C]67[/C][C]351.889[/C][C]356.140325684612[/C][C]5.94029539111028[/C][C]341.697378924277[/C][C]4.25132568461248[/C][/ROW]
[ROW][C]68[/C][C]355.773[/C][C]355.115591456737[/C][C]12.9869326459872[/C][C]343.443475897276[/C][C]-0.657408543262704[/C][/ROW]
[ROW][C]69[/C][C]333.363[/C][C]334.744222825233[/C][C]-13.2077956955067[/C][C]345.189572870274[/C][C]1.38122282523295[/C][/ROW]
[ROW][C]70[/C][C]336.214[/C][C]329.993912514208[/C][C]-4.43030815549582[/C][C]346.864395641288[/C][C]-6.22008748579213[/C][/ROW]
[ROW][C]71[/C][C]343.91[/C][C]341.851690989245[/C][C]-2.57090940154669[/C][C]348.539218412302[/C][C]-2.05830901075547[/C][/ROW]
[ROW][C]72[/C][C]405.788[/C][C]411.255155985562[/C][C]50.2246301310083[/C][C]350.09621388343[/C][C]5.4671559855617[/C][/ROW]
[ROW][C]73[/C][C]318.682[/C][C]317.990251268302[/C][C]-32.2794606228595[/C][C]351.653209354558[/C][C]-0.691748731698226[/C][/ROW]
[ROW][C]74[/C][C]314.189[/C][C]310.2821162017[/C][C]-34.9286534333937[/C][C]353.024537231693[/C][C]-3.90688379829959[/C][/ROW]
[ROW][C]75[/C][C]362.141[/C][C]367.706611892738[/C][C]2.17952299843307[/C][C]354.395865108829[/C][C]5.56561189273805[/C][/ROW]
[ROW][C]76[/C][C]351.811[/C][C]352.073385771301[/C][C]-3.99904013027762[/C][C]355.547654358977[/C][C]0.262385771300728[/C][/ROW]
[ROW][C]77[/C][C]373.727[/C][C]376.471431724592[/C][C]14.283124666283[/C][C]356.699443609125[/C][C]2.74443172459229[/C][/ROW]
[ROW][C]78[/C][C]366.795[/C][C]370.173519531826[/C][C]5.80166279999602[/C][C]357.614817668178[/C][C]3.3785195318257[/C][/ROW]
[ROW][C]79[/C][C]362.393[/C][C]360.315512881658[/C][C]5.94029539111028[/C][C]358.530191727232[/C][C]-2.07748711834222[/C][/ROW]
[ROW][C]80[/C][C]376.006[/C][C]379.693570142037[/C][C]12.9869326459872[/C][C]359.331497211976[/C][C]3.68757014203692[/C][/ROW]
[ROW][C]81[/C][C]346.423[/C][C]345.920992998787[/C][C]-13.2077956955067[/C][C]360.13280269672[/C][C]-0.502007001213087[/C][/ROW]
[ROW][C]82[/C][C]349.007[/C][C]341.433621138635[/C][C]-4.43030815549582[/C][C]361.010687016861[/C][C]-7.57337886136514[/C][/ROW]
[ROW][C]83[/C][C]357.224[/C][C]355.130338064545[/C][C]-2.57090940154669[/C][C]361.888571337002[/C][C]-2.09366193545549[/C][/ROW]
[ROW][C]84[/C][C]418.473[/C][C]423.800970261397[/C][C]50.2246301310083[/C][C]362.920399607595[/C][C]5.32797026139718[/C][/ROW]
[ROW][C]85[/C][C]329.169[/C][C]326.665232744673[/C][C]-32.2794606228595[/C][C]363.952227878187[/C][C]-2.50376725532726[/C][/ROW]
[ROW][C]86[/C][C]323.456[/C][C]316.770770309803[/C][C]-34.9286534333937[/C][C]365.069883123591[/C][C]-6.68522969019682[/C][/ROW]
[ROW][C]87[/C][C]374.439[/C][C]380.510938632573[/C][C]2.17952299843307[/C][C]366.187538368994[/C][C]6.07193863257265[/C][/ROW]
[ROW][C]88[/C][C]358.806[/C][C]354.187202112836[/C][C]-3.99904013027762[/C][C]367.423838017441[/C][C]-4.61879788716362[/C][/ROW]
[ROW][C]89[/C][C]391.816[/C][C]400.688737667829[/C][C]14.283124666283[/C][C]368.660137665888[/C][C]8.87273766782886[/C][/ROW]
[ROW][C]90[/C][C]376.944[/C][C]378.203792372016[/C][C]5.80166279999602[/C][C]369.882544827988[/C][C]1.2597923720158[/C][/ROW]
[ROW][C]91[/C][C]372.665[/C][C]368.284752618801[/C][C]5.94029539111028[/C][C]371.104951990088[/C][C]-4.38024738119856[/C][/ROW]
[ROW][C]92[/C][C]388.357[/C][C]391.64918173196[/C][C]12.9869326459872[/C][C]372.077885622052[/C][C]3.2921817319604[/C][/ROW]
[ROW][C]93[/C][C]354.241[/C][C]348.63897644149[/C][C]-13.2077956955067[/C][C]373.050819254017[/C][C]-5.60202355850981[/C][/ROW]
[ROW][C]94[/C][C]368.982[/C][C]368.67945394723[/C][C]-4.43030815549582[/C][C]373.714854208265[/C][C]-0.302546052769571[/C][/ROW]
[ROW][C]95[/C][C]378.233[/C][C]384.658020239032[/C][C]-2.57090940154669[/C][C]374.378889162514[/C][C]6.42502023903239[/C][/ROW]
[ROW][C]96[/C][C]426.699[/C][C]428.291911452855[/C][C]50.2246301310083[/C][C]374.881458416137[/C][C]1.59291145285459[/C][/ROW]
[ROW][C]97[/C][C]343.241[/C][C]343.3774329531[/C][C]-32.2794606228595[/C][C]375.38402766976[/C][C]0.1364329530997[/C][/ROW]
[ROW][C]98[/C][C]344.577[/C][C]348.737913123715[/C][C]-34.9286534333937[/C][C]375.344740309679[/C][C]4.16091312371498[/C][/ROW]
[ROW][C]99[/C][C]373.623[/C][C]369.761024051969[/C][C]2.17952299843307[/C][C]375.305452949598[/C][C]-3.8619759480307[/C][/ROW]
[ROW][C]100[/C][C]369.688[/C][C]369.56523220448[/C][C]-3.99904013027762[/C][C]373.809807925798[/C][C]-0.122767795520303[/C][/ROW]
[ROW][C]101[/C][C]398.816[/C][C]411.034712431719[/C][C]14.283124666283[/C][C]372.314162901998[/C][C]12.2187124317189[/C][/ROW]
[ROW][C]102[/C][C]379.387[/C][C]383.566900765006[/C][C]5.80166279999602[/C][C]369.405436434998[/C][C]4.17990076500649[/C][/ROW]
[ROW][C]103[/C][C]384.666[/C][C]396.894994640893[/C][C]5.94029539111028[/C][C]366.496709967997[/C][C]12.2289946408928[/C][/ROW]
[ROW][C]104[/C][C]383.879[/C][C]391.970512708171[/C][C]12.9869326459872[/C][C]362.800554645842[/C][C]8.09151270817051[/C][/ROW]
[ROW][C]105[/C][C]351.578[/C][C]357.259396371819[/C][C]-13.2077956955067[/C][C]359.104399323688[/C][C]5.68139637181901[/C][/ROW]
[ROW][C]106[/C][C]350.92[/C][C]351.122227924462[/C][C]-4.43030815549582[/C][C]355.148080231034[/C][C]0.202227924461965[/C][/ROW]
[ROW][C]107[/C][C]336.629[/C][C]324.637148263167[/C][C]-2.57090940154669[/C][C]351.19176113838[/C][C]-11.9918517368333[/C][/ROW]
[ROW][C]108[/C][C]385.504[/C][C]373.070216499761[/C][C]50.2246301310083[/C][C]347.71315336923[/C][C]-12.4337835002386[/C][/ROW]
[ROW][C]109[/C][C]311.33[/C][C]310.704915022779[/C][C]-32.2794606228595[/C][C]344.234545600081[/C][C]-0.625084977221093[/C][/ROW]
[ROW][C]110[/C][C]300.545[/C][C]293.98797096231[/C][C]-34.9286534333937[/C][C]342.030682471084[/C][C]-6.55702903769037[/C][/ROW]
[ROW][C]111[/C][C]329.718[/C][C]317.429657659479[/C][C]2.17952299843307[/C][C]339.826819342088[/C][C]-12.2883423405207[/C][/ROW]
[ROW][C]112[/C][C]331.023[/C][C]326.832824806269[/C][C]-3.99904013027762[/C][C]339.212215324008[/C][C]-4.19017519373079[/C][/ROW]
[ROW][C]113[/C][C]348.944[/C][C]345.007264027788[/C][C]14.283124666283[/C][C]338.597611305929[/C][C]-3.9367359722122[/C][/ROW]
[ROW][C]114[/C][C]345.65[/C][C]346.213559568245[/C][C]5.80166279999602[/C][C]339.284777631759[/C][C]0.563559568244898[/C][/ROW]
[ROW][C]115[/C][C]349.26[/C][C]352.607760651301[/C][C]5.94029539111028[/C][C]339.971943957589[/C][C]3.34776065130086[/C][/ROW]
[ROW][C]116[/C][C]354.597[/C][C]354.772719915824[/C][C]12.9869326459872[/C][C]341.434347438188[/C][C]0.175719915824288[/C][/ROW]
[ROW][C]117[/C][C]325.769[/C][C]321.849044776719[/C][C]-13.2077956955067[/C][C]342.896750918788[/C][C]-3.91995522328136[/C][/ROW]
[ROW][C]118[/C][C]339.734[/C][C]339.187599298619[/C][C]-4.43030815549582[/C][C]344.710708856876[/C][C]-0.546400701380492[/C][/ROW]
[ROW][C]119[/C][C]340.543[/C][C]337.132242606582[/C][C]-2.57090940154669[/C][C]346.524666794965[/C][C]-3.41075739341778[/C][/ROW]
[ROW][C]120[/C][C]401.585[/C][C]404.86019547701[/C][C]50.2246301310083[/C][C]348.085174391981[/C][C]3.27519547701047[/C][/ROW]
[ROW][C]121[/C][C]315.998[/C][C]314.629778633862[/C][C]-32.2794606228595[/C][C]349.645681988998[/C][C]-1.36822136613836[/C][/ROW]
[ROW][C]122[/C][C]312.327[/C][C]308.553149280809[/C][C]-34.9286534333937[/C][C]351.029504152585[/C][C]-3.77385071919093[/C][/ROW]
[ROW][C]123[/C][C]362.217[/C][C]369.841150685395[/C][C]2.17952299843307[/C][C]352.413326316171[/C][C]7.62415068539548[/C][/ROW]
[ROW][C]124[/C][C]358.067[/C][C]365.980365866674[/C][C]-3.99904013027762[/C][C]354.152674263604[/C][C]7.91336586667364[/C][/ROW]
[ROW][C]125[/C][C]367.321[/C][C]364.466853122681[/C][C]14.283124666283[/C][C]355.892022211036[/C][C]-2.85414687731941[/C][/ROW]
[ROW][C]126[/C][C]360.372[/C][C]357.07997396297[/C][C]5.80166279999602[/C][C]357.862363237034[/C][C]-3.29202603702976[/C][/ROW]
[ROW][C]127[/C][C]363.83[/C][C]361.887000345859[/C][C]5.94029539111028[/C][C]359.832704263031[/C][C]-1.94299965414137[/C][/ROW]
[ROW][C]128[/C][C]364.525[/C][C]354.295783927032[/C][C]12.9869326459872[/C][C]361.767283426981[/C][C]-10.2292160729684[/C][/ROW]
[ROW][C]129[/C][C]347.945[/C][C]345.395933104575[/C][C]-13.2077956955067[/C][C]363.701862590931[/C][C]-2.54906689542452[/C][/ROW]
[ROW][C]130[/C][C]357.404[/C][C]353.603395317381[/C][C]-4.43030815549582[/C][C]365.634912838115[/C][C]-3.80060468261922[/C][/ROW]
[ROW][C]131[/C][C]368.182[/C][C]371.366946316248[/C][C]-2.57090940154669[/C][C]367.567963085299[/C][C]3.18494631624787[/C][/ROW]
[ROW][C]132[/C][C]429.343[/C][C]438.911992896668[/C][C]50.2246301310083[/C][C]369.549376972324[/C][C]9.56899289666768[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=187351&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=187351&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
1236.422232.22884265222-32.2794606228595272.894617970639-4.1931573477795
2250.58262.955677515633-34.9286534333937273.13297591776112.3756775156326
3279.515283.4791431366832.17952299843307273.3713338648833.96414313668345
4264.417259.144477253844-3.99904013027762273.688562876433-5.27252274615591
5283.706279.12308344573414.283124666283274.005791887983-4.58291655426643
6281.288282.4267270626695.80166279999602274.3476101373351.13872706266937
7271.146261.6622762222045.94029539111028274.689428386686-9.483723777796
8283.944279.91369025855612.9869326459872274.987377095457-4.03030974144451
9269.155276.232469891278-13.2077956955067275.2853258042297.07746989127787
10270.899270.348372220839-4.43030815549582275.879935934657-0.550627779161005
11276.507279.110363336462-2.57090940154669276.4745460650852.60336333646188
12319.957312.48023152676550.2246301310083277.209138342226-7.47676847323481
13250.746255.827730003491-32.2794606228595277.9437306193685.08173000349137
14247.772251.996419876702-34.9286534333937278.4762335566914.22441987670248
15280.449279.7097405075532.17952299843307279.008736494014-0.739259492447445
16274.925274.225134452053-3.99904013027762279.623905678225-0.699865547946956
17296.013297.50380047128214.283124666283280.2390748624351.49080047128228
18287.881289.0515617084215.80166279999602280.9087754915831.17056170842119
19279.098270.6772284881595.94029539111028281.578476120731-8.42077151184117
20294.763294.40873857089212.9869326459872282.130328783121-0.354261429107964
21261.924254.373614249996-13.2077956955067282.682181445511-7.55038575000384
22291.596304.34884166914-4.43030815549582283.27346648635612.75284166914
23287.537293.780157874346-2.57090940154669283.8647515272016.24315787434557
24326.201317.6528730017750.2246301310083284.524496867222-8.54812699823049
25255.598258.291218415616-32.2794606228595285.1842422072432.69321841561623
26253.086255.277627206878-34.9286534333937285.8230262265152.19162720687837
27285.261281.880666755782.17952299843307286.461810245787-3.38033324422042
28284.747286.554126045133-3.99904013027762286.9389140851451.8071260451328
29300.402299.10485740921514.283124666283287.416017924502-1.29714259078526
30288.854283.8698762877185.80166279999602288.036460912286-4.98412371228233
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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')