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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_decomposeloess.wasp
Title produced by softwareDecomposition by Loess
Date of computationThu, 25 Mar 2010 14:32:43 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Mar/25/t1269527764lpk7kydeoqkt0dk.htm/, Retrieved Tue, 18 Jan 2022 12:53:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74577, Retrieved Tue, 18 Jan 2022 12:53:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact173
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [Sleep in Mammals ...] [2010-03-20 10:44:59] [b98453cac15ba1066b407e146608df68]
- RMPD  [Multiple Regression] [] [2010-03-25 10:28:38] [b98453cac15ba1066b407e146608df68]
- RMPD      [Decomposition by Loess] [] [2010-03-25 14:32:43] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
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Dataseries X:
112
118
132
129
121
135
148
148
136
119
104
118
115
126
141
135
125
149
170
170
158
133
114
140
145
150
178
163
172
178
199
199
184
162
146
166
171
180
193
181
183
218
230
242
209
191
172
194
196
196
236
235
229
243
264
272
237
211
180
201
204
188
235
227
234
264
302
293
259
229
203
229
242
233
267
269
270
315
364
347
312
274
237
278
284
277
317
313
318
374
413
405
355
306
271
306
315
301
356
348
355
422
465
467
404
347
305
336
340
318
362
348
363
435
491
505
404
359
310
337
360
342
406
396
420
472
548
559
463
407
362
405
417
391
419
461
472
535
622
606
508
461
390
432




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74577&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74577&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74577&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'George Udny Yule' @ 72.249.76.132







Seasonal Decomposition by Loess - Parameters
ComponentWindowDegreeJump
Seasonal14410145
Trend1912
Low-pass1312

\begin{tabular}{lllllllll}
\hline
Seasonal Decomposition by Loess - Parameters \tabularnewline
Component & Window & Degree & Jump \tabularnewline
Seasonal & 1441 & 0 & 145 \tabularnewline
Trend & 19 & 1 & 2 \tabularnewline
Low-pass & 13 & 1 & 2 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74577&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]1441[/C][C]0[/C][C]145[/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=74577&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74577&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
Seasonal14410145
Trend1912
Low-pass1312







Seasonal Decomposition by Loess - Time Series Components
tObservedFittedSeasonalTrendRemainder
1112122.310369902516-25.4977183397736127.18734843725710.3103699025161
2118144.571402815284-35.2209348015702126.64953198628626.5714028152841
3132140.915762476461-3.02747801177543126.1117155353158.91576247646078
4129140.100122400179-8.29905418525078126.19893178507211.1001224001792
5121121.451140778362-5.73728881319017126.2861480348280.451140778361719
6135110.93034278152532.3366341296942126.733023088781-24.0696572184753
714898.576220320253370.243881537013127.179898142734-49.4237796797467
8148100.5343508239368.0494327275685127.416216448501-47.4656491760699
9136126.90913920834917.4383260373817127.652534754269-9.09086079165087
10119130.044842451944-21.0634315333585129.01858908141511.0448424519439
11104135.097207105093-57.4818505136532130.3846434085631.0972071050931
12118135.378679881299-31.7405155016501132.36183562035117.3786798812987
13115121.158690507631-25.4977183397736134.3390278321436.15869050763092
14126152.112577072273-35.2209348015702135.10835772929726.1125770722728
15141149.149790385323-3.02747801177543135.8776876264528.14979038532329
16135142.353648187575-8.29905418525078135.9454059976767.35364818757489
17125119.724164444291-5.73728881319017136.013124368900-5.27583555570945
18149128.45404557282532.3366341296942137.209320297481-20.5459544271750
19170131.35060223692570.243881537013138.405516226062-38.6493977630751
20170130.63916127125168.0494327275685141.311406001181-39.3608387287493
21158154.34437818631917.4383260373817144.217295776299-3.65562181368119
22133138.726366614332-21.0634315333585148.3370649190275.7263666143316
23114133.025016451899-57.4818505136532152.45683406175419.0250164518989
24140155.614859241740-31.7405155016501156.1256562599115.6148592417402
25145155.703239881708-25.4977183397736159.79447845806510.7032398817081
26150173.529500350016-35.2209348015702161.69143445155523.5295003500156
27178195.439087566732-3.02747801177543163.58839044504417.4390875667319
28163169.697380992963-8.29905418525078164.6016731922886.69738099296282
29172184.122332873658-5.73728881319017165.61495593953212.1223328736578
30178156.4349086371332.3366341296942167.228457233176-21.5650913628700
31199158.91415993616870.243881537013168.841958526819-40.0858400638321
32199158.74354400965668.0494327275685171.207023262775-40.2564559903438
33184176.98958596388717.4383260373817173.572087998732-7.01041403611322
34162168.510793822090-21.0634315333585176.5526377112696.51079382208968
35146169.948663089847-57.4818505136532179.53318742380623.9486630898471
36166181.112749390396-31.7405155016501182.62776611125415.1127493903959
37171181.775373541071-25.4977183397736185.72234479870210.7753735410714
38180207.404617284177-35.2209348015702187.81631751739327.4046172841769
39193199.117187775691-3.02747801177543189.9102902360846.11718777569118
40181179.167886761944-8.29905418525078191.131167423307-1.83211323805639
41183179.38524420266-5.73728881319017192.35204461053-3.61475579733994
42218209.59754925746432.3366341296942194.065816612842-8.40245074253599
43230193.97652984783470.243881537013195.779588615153-36.0234701521664
44242217.16918008428268.0494327275685198.781387188149-24.8308199157176
45209198.77848820147417.4383260373817201.783185761145-10.2215117985265
46191196.994743228647-21.0634315333585206.0686883047125.99474322864663
47172191.127659665374-57.4818505136532210.35419084827919.1276596653743
48194205.555637817977-31.7405155016501214.18487768367311.5556378179768
49196199.482153820706-25.4977183397736218.0155645190683.482153820706
50196207.094595379858-35.2209348015702220.12633942171211.0945953798577
51236252.790363687418-3.02747801177543222.23711432435716.7903636874181
52235255.361488098016-8.29905418525078222.93756608723520.361488098016
53229240.099270963078-5.73728881319017223.63801785011211.0992709630780
54243229.87054596364332.3366341296942223.792819906663-13.1294540363569
55264233.80849649977470.243881537013223.947621963213-30.1915035002262
56272252.00629227680068.0494327275685223.944274995632-19.9937077232004
57237232.62074593456817.4383260373817223.940928028051-4.37925406543229
58211218.468681624540-21.0634315333585224.5947499088197.46868162453964
59180192.233278724066-57.4818505136532225.24857178958712.2332787240661
60201206.719013989328-31.7405155016501227.0215015123225.71901398932818
61204204.703287104717-25.4977183397736228.7944312350570.703287104716935
62188180.667428897015-35.2209348015702230.553505904556-7.33257110298547
63235240.714897437721-3.02747801177543232.3125805740555.71489743772082
64227228.466222166896-8.29905418525078233.8328320183551.46622216689607
65234238.384205350535-5.73728881319017235.3530834626554.38420535053535
66264257.95926594350832.3366341296942237.704099926798-6.04073405649189
67302293.70100207204670.243881537013240.055116390940-8.2989979279535
68293274.70401830714568.0494327275685243.246548965287-18.2959816928552
69259254.12369242298517.4383260373817246.437981539633-4.87630757701459
70229228.959774829309-21.0634315333585250.103656704049-0.0402251706909169
71203209.712518645187-57.4818505136532253.7693318684666.71251864518734
72229231.656908610152-31.7405155016501258.0836068914982.65690861015162
73242247.099836425243-25.4977183397736262.3978819145315.09983642524259
74233234.466420806155-35.2209348015702266.7545139954151.46642080615493
75267265.916331935476-3.02747801177543271.111146076299-1.08366806452392
76269271.460644361895-8.29905418525078274.8384098233562.46064436189482
77270267.171615242778-5.73728881319017278.565673570413-2.82838475722247
78315315.57720166744432.3366341296942282.0861642028620.577201667444172
79364372.14946362767670.243881537013285.6066548353118.14946362767643
80347336.59906791886468.0494327275685289.351499353568-10.4009320811360
81312313.46533009079417.4383260373817293.0963438718251.46533009079377
82274271.987392513557-21.0634315333585297.076039019802-2.01260748644347
83237230.426116345874-57.4818505136532301.055734167779-6.57388365412612
84278282.334153061375-31.7405155016501305.4063624402754.33415306137465
85284283.740727627002-25.4977183397736309.756990712771-0.259272372997827
86277275.191453926064-35.2209348015702314.029480875506-1.80854607393582
87317318.725506973535-3.02747801177543318.3019710382401.72550697353495
88313312.591984804652-8.29905418525078321.707069380599-0.408015195348185
89318316.625121090233-5.73728881319017325.112167722957-1.37487890976729
90374388.01197714989932.3366341296942327.65138872040614.0119771498995
91413425.56550874513270.243881537013330.19060971785512.5655087451319
92405409.4674628264468.0494327275685332.4831044459924.46746282643971
93355357.7860747884917.4383260373817334.7755991741292.78607478848983
94306295.714136380013-21.0634315333585337.349295153346-10.2858636199874
95271259.55885938109-57.4818505136532339.922991132563-11.4411406189101
96306300.178745914256-31.7405155016501343.561769587394-5.82125408574382
97315308.297170297549-25.4977183397736347.200548042224-6.7028297024508
98301285.309649597637-35.2209348015702351.911285203933-15.6903504023633
99356358.405455646133-3.02747801177543356.6220223656422.40545564613296
100348343.309029557603-8.29905418525078360.990024627648-4.69097044239697
101355350.379261923537-5.73728881319017365.358026889653-4.62073807646289
102422443.43804701039632.3366341296942368.2253188599121.4380470103961
103465488.66350763282170.243881537013371.09261083016623.6635076328207
104467493.74885446647868.0494327275685372.20171280595326.7488544664784
105404417.25085918087817.4383260373817373.3108147817413.2508591808784
106347341.994502619741-21.0634315333585373.068928913618-5.00549738025944
107305294.654807468157-57.4818505136532372.827043045496-10.3451925318427
108336330.574168419745-31.7405155016501373.166347081905-5.42583158025531
109340331.992067221459-25.4977183397736373.505651118315-8.00793277854126
110318295.917234796298-35.2209348015702375.303700005273-22.0827652037024
111362349.925729119545-3.02747801177543377.10174889223-12.0742708804547
112348325.122465855012-8.29905418525078379.176588330239-22.8775341449881
113363350.485861044942-5.73728881319017381.251427768248-12.5141389550575
114435454.78995191088132.3366341296942382.87341395942519.7899519108811
115491527.26071831238670.243881537013384.49540015060136.2607183123855
116505555.53766559061168.0494327275685386.4129016818250.5376655906113
117404402.23127074957917.4383260373817388.330403213039-1.76872925042073
118359348.388866476376-21.0634315333585390.674565056982-10.6111335236239
119310284.463123612728-57.4818505136532393.018726900926-25.5368763872724
120337309.398913673082-31.7405155016501396.341601828568-27.6010863269179
121360345.833241583563-25.4977183397736399.66447675621-14.1667584164366
122342314.317448303322-35.2209348015702404.903486498249-27.6825516966784
123406404.884981771489-3.02747801177543410.142496240287-1.11501822851147
124396383.954091264659-8.29905418525078416.344962920592-12.0459087353409
125420423.189859212294-5.73728881319017422.5474296008963.1898592122937
126472483.87371231805632.3366341296942427.7896535522511.8737123180561
127548592.72424095938470.243881537013433.03187750360344.7242409593841
128559613.51433013643368.0494327275685436.43623713599854.5143301364332
129463468.72107719422517.4383260373817439.8405967683945.72107719422462
130407392.687931319752-21.0634315333585442.375500213607-14.3120686802483
131362336.571446854833-57.4818505136532444.91040365882-25.4285531451666
132405393.100333883737-31.7405155016501448.640181617913-11.8996661162626
133417407.127758762768-25.4977183397736452.369959577005-9.87224123723178
134391359.408804900782-35.2209348015702457.812129900788-31.5911950992179
135419377.773177787205-3.02747801177543463.254300224571-41.2268222127952
136461462.688631105858-8.29905418525078467.6104230793921.68863110585846
137472477.770742878976-5.73728881319017471.9665459342145.77074287897614
138535562.05506690831932.3366341296942475.60829896198727.0550669083188
139622694.50606647322770.243881537013479.2500519897672.506066473227
140606660.76116520260368.0494327275685483.18940206982954.7611652026028
141508511.43292181272117.4383260373817487.1287521498973.43292181272085
142461452.310411781539-21.0634315333585490.75301975182-8.6895882184611
143390343.104563159912-57.4818505136532494.377287353742-46.8954368400885
144432398.310610449871-31.7405155016501497.429905051779-33.6893895501286

\begin{tabular}{lllllllll}
\hline
Seasonal Decomposition by Loess - Time Series Components \tabularnewline
t & Observed & Fitted & Seasonal & Trend & Remainder \tabularnewline
1 & 112 & 122.310369902516 & -25.4977183397736 & 127.187348437257 & 10.3103699025161 \tabularnewline
2 & 118 & 144.571402815284 & -35.2209348015702 & 126.649531986286 & 26.5714028152841 \tabularnewline
3 & 132 & 140.915762476461 & -3.02747801177543 & 126.111715535315 & 8.91576247646078 \tabularnewline
4 & 129 & 140.100122400179 & -8.29905418525078 & 126.198931785072 & 11.1001224001792 \tabularnewline
5 & 121 & 121.451140778362 & -5.73728881319017 & 126.286148034828 & 0.451140778361719 \tabularnewline
6 & 135 & 110.930342781525 & 32.3366341296942 & 126.733023088781 & -24.0696572184753 \tabularnewline
7 & 148 & 98.5762203202533 & 70.243881537013 & 127.179898142734 & -49.4237796797467 \tabularnewline
8 & 148 & 100.53435082393 & 68.0494327275685 & 127.416216448501 & -47.4656491760699 \tabularnewline
9 & 136 & 126.909139208349 & 17.4383260373817 & 127.652534754269 & -9.09086079165087 \tabularnewline
10 & 119 & 130.044842451944 & -21.0634315333585 & 129.018589081415 & 11.0448424519439 \tabularnewline
11 & 104 & 135.097207105093 & -57.4818505136532 & 130.38464340856 & 31.0972071050931 \tabularnewline
12 & 118 & 135.378679881299 & -31.7405155016501 & 132.361835620351 & 17.3786798812987 \tabularnewline
13 & 115 & 121.158690507631 & -25.4977183397736 & 134.339027832143 & 6.15869050763092 \tabularnewline
14 & 126 & 152.112577072273 & -35.2209348015702 & 135.108357729297 & 26.1125770722728 \tabularnewline
15 & 141 & 149.149790385323 & -3.02747801177543 & 135.877687626452 & 8.14979038532329 \tabularnewline
16 & 135 & 142.353648187575 & -8.29905418525078 & 135.945405997676 & 7.35364818757489 \tabularnewline
17 & 125 & 119.724164444291 & -5.73728881319017 & 136.013124368900 & -5.27583555570945 \tabularnewline
18 & 149 & 128.454045572825 & 32.3366341296942 & 137.209320297481 & -20.5459544271750 \tabularnewline
19 & 170 & 131.350602236925 & 70.243881537013 & 138.405516226062 & -38.6493977630751 \tabularnewline
20 & 170 & 130.639161271251 & 68.0494327275685 & 141.311406001181 & -39.3608387287493 \tabularnewline
21 & 158 & 154.344378186319 & 17.4383260373817 & 144.217295776299 & -3.65562181368119 \tabularnewline
22 & 133 & 138.726366614332 & -21.0634315333585 & 148.337064919027 & 5.7263666143316 \tabularnewline
23 & 114 & 133.025016451899 & -57.4818505136532 & 152.456834061754 & 19.0250164518989 \tabularnewline
24 & 140 & 155.614859241740 & -31.7405155016501 & 156.12565625991 & 15.6148592417402 \tabularnewline
25 & 145 & 155.703239881708 & -25.4977183397736 & 159.794478458065 & 10.7032398817081 \tabularnewline
26 & 150 & 173.529500350016 & -35.2209348015702 & 161.691434451555 & 23.5295003500156 \tabularnewline
27 & 178 & 195.439087566732 & -3.02747801177543 & 163.588390445044 & 17.4390875667319 \tabularnewline
28 & 163 & 169.697380992963 & -8.29905418525078 & 164.601673192288 & 6.69738099296282 \tabularnewline
29 & 172 & 184.122332873658 & -5.73728881319017 & 165.614955939532 & 12.1223328736578 \tabularnewline
30 & 178 & 156.43490863713 & 32.3366341296942 & 167.228457233176 & -21.5650913628700 \tabularnewline
31 & 199 & 158.914159936168 & 70.243881537013 & 168.841958526819 & -40.0858400638321 \tabularnewline
32 & 199 & 158.743544009656 & 68.0494327275685 & 171.207023262775 & -40.2564559903438 \tabularnewline
33 & 184 & 176.989585963887 & 17.4383260373817 & 173.572087998732 & -7.01041403611322 \tabularnewline
34 & 162 & 168.510793822090 & -21.0634315333585 & 176.552637711269 & 6.51079382208968 \tabularnewline
35 & 146 & 169.948663089847 & -57.4818505136532 & 179.533187423806 & 23.9486630898471 \tabularnewline
36 & 166 & 181.112749390396 & -31.7405155016501 & 182.627766111254 & 15.1127493903959 \tabularnewline
37 & 171 & 181.775373541071 & -25.4977183397736 & 185.722344798702 & 10.7753735410714 \tabularnewline
38 & 180 & 207.404617284177 & -35.2209348015702 & 187.816317517393 & 27.4046172841769 \tabularnewline
39 & 193 & 199.117187775691 & -3.02747801177543 & 189.910290236084 & 6.11718777569118 \tabularnewline
40 & 181 & 179.167886761944 & -8.29905418525078 & 191.131167423307 & -1.83211323805639 \tabularnewline
41 & 183 & 179.38524420266 & -5.73728881319017 & 192.35204461053 & -3.61475579733994 \tabularnewline
42 & 218 & 209.597549257464 & 32.3366341296942 & 194.065816612842 & -8.40245074253599 \tabularnewline
43 & 230 & 193.976529847834 & 70.243881537013 & 195.779588615153 & -36.0234701521664 \tabularnewline
44 & 242 & 217.169180084282 & 68.0494327275685 & 198.781387188149 & -24.8308199157176 \tabularnewline
45 & 209 & 198.778488201474 & 17.4383260373817 & 201.783185761145 & -10.2215117985265 \tabularnewline
46 & 191 & 196.994743228647 & -21.0634315333585 & 206.068688304712 & 5.99474322864663 \tabularnewline
47 & 172 & 191.127659665374 & -57.4818505136532 & 210.354190848279 & 19.1276596653743 \tabularnewline
48 & 194 & 205.555637817977 & -31.7405155016501 & 214.184877683673 & 11.5556378179768 \tabularnewline
49 & 196 & 199.482153820706 & -25.4977183397736 & 218.015564519068 & 3.482153820706 \tabularnewline
50 & 196 & 207.094595379858 & -35.2209348015702 & 220.126339421712 & 11.0945953798577 \tabularnewline
51 & 236 & 252.790363687418 & -3.02747801177543 & 222.237114324357 & 16.7903636874181 \tabularnewline
52 & 235 & 255.361488098016 & -8.29905418525078 & 222.937566087235 & 20.361488098016 \tabularnewline
53 & 229 & 240.099270963078 & -5.73728881319017 & 223.638017850112 & 11.0992709630780 \tabularnewline
54 & 243 & 229.870545963643 & 32.3366341296942 & 223.792819906663 & -13.1294540363569 \tabularnewline
55 & 264 & 233.808496499774 & 70.243881537013 & 223.947621963213 & -30.1915035002262 \tabularnewline
56 & 272 & 252.006292276800 & 68.0494327275685 & 223.944274995632 & -19.9937077232004 \tabularnewline
57 & 237 & 232.620745934568 & 17.4383260373817 & 223.940928028051 & -4.37925406543229 \tabularnewline
58 & 211 & 218.468681624540 & -21.0634315333585 & 224.594749908819 & 7.46868162453964 \tabularnewline
59 & 180 & 192.233278724066 & -57.4818505136532 & 225.248571789587 & 12.2332787240661 \tabularnewline
60 & 201 & 206.719013989328 & -31.7405155016501 & 227.021501512322 & 5.71901398932818 \tabularnewline
61 & 204 & 204.703287104717 & -25.4977183397736 & 228.794431235057 & 0.703287104716935 \tabularnewline
62 & 188 & 180.667428897015 & -35.2209348015702 & 230.553505904556 & -7.33257110298547 \tabularnewline
63 & 235 & 240.714897437721 & -3.02747801177543 & 232.312580574055 & 5.71489743772082 \tabularnewline
64 & 227 & 228.466222166896 & -8.29905418525078 & 233.832832018355 & 1.46622216689607 \tabularnewline
65 & 234 & 238.384205350535 & -5.73728881319017 & 235.353083462655 & 4.38420535053535 \tabularnewline
66 & 264 & 257.959265943508 & 32.3366341296942 & 237.704099926798 & -6.04073405649189 \tabularnewline
67 & 302 & 293.701002072046 & 70.243881537013 & 240.055116390940 & -8.2989979279535 \tabularnewline
68 & 293 & 274.704018307145 & 68.0494327275685 & 243.246548965287 & -18.2959816928552 \tabularnewline
69 & 259 & 254.123692422985 & 17.4383260373817 & 246.437981539633 & -4.87630757701459 \tabularnewline
70 & 229 & 228.959774829309 & -21.0634315333585 & 250.103656704049 & -0.0402251706909169 \tabularnewline
71 & 203 & 209.712518645187 & -57.4818505136532 & 253.769331868466 & 6.71251864518734 \tabularnewline
72 & 229 & 231.656908610152 & -31.7405155016501 & 258.083606891498 & 2.65690861015162 \tabularnewline
73 & 242 & 247.099836425243 & -25.4977183397736 & 262.397881914531 & 5.09983642524259 \tabularnewline
74 & 233 & 234.466420806155 & -35.2209348015702 & 266.754513995415 & 1.46642080615493 \tabularnewline
75 & 267 & 265.916331935476 & -3.02747801177543 & 271.111146076299 & -1.08366806452392 \tabularnewline
76 & 269 & 271.460644361895 & -8.29905418525078 & 274.838409823356 & 2.46064436189482 \tabularnewline
77 & 270 & 267.171615242778 & -5.73728881319017 & 278.565673570413 & -2.82838475722247 \tabularnewline
78 & 315 & 315.577201667444 & 32.3366341296942 & 282.086164202862 & 0.577201667444172 \tabularnewline
79 & 364 & 372.149463627676 & 70.243881537013 & 285.606654835311 & 8.14946362767643 \tabularnewline
80 & 347 & 336.599067918864 & 68.0494327275685 & 289.351499353568 & -10.4009320811360 \tabularnewline
81 & 312 & 313.465330090794 & 17.4383260373817 & 293.096343871825 & 1.46533009079377 \tabularnewline
82 & 274 & 271.987392513557 & -21.0634315333585 & 297.076039019802 & -2.01260748644347 \tabularnewline
83 & 237 & 230.426116345874 & -57.4818505136532 & 301.055734167779 & -6.57388365412612 \tabularnewline
84 & 278 & 282.334153061375 & -31.7405155016501 & 305.406362440275 & 4.33415306137465 \tabularnewline
85 & 284 & 283.740727627002 & -25.4977183397736 & 309.756990712771 & -0.259272372997827 \tabularnewline
86 & 277 & 275.191453926064 & -35.2209348015702 & 314.029480875506 & -1.80854607393582 \tabularnewline
87 & 317 & 318.725506973535 & -3.02747801177543 & 318.301971038240 & 1.72550697353495 \tabularnewline
88 & 313 & 312.591984804652 & -8.29905418525078 & 321.707069380599 & -0.408015195348185 \tabularnewline
89 & 318 & 316.625121090233 & -5.73728881319017 & 325.112167722957 & -1.37487890976729 \tabularnewline
90 & 374 & 388.011977149899 & 32.3366341296942 & 327.651388720406 & 14.0119771498995 \tabularnewline
91 & 413 & 425.565508745132 & 70.243881537013 & 330.190609717855 & 12.5655087451319 \tabularnewline
92 & 405 & 409.46746282644 & 68.0494327275685 & 332.483104445992 & 4.46746282643971 \tabularnewline
93 & 355 & 357.78607478849 & 17.4383260373817 & 334.775599174129 & 2.78607478848983 \tabularnewline
94 & 306 & 295.714136380013 & -21.0634315333585 & 337.349295153346 & -10.2858636199874 \tabularnewline
95 & 271 & 259.55885938109 & -57.4818505136532 & 339.922991132563 & -11.4411406189101 \tabularnewline
96 & 306 & 300.178745914256 & -31.7405155016501 & 343.561769587394 & -5.82125408574382 \tabularnewline
97 & 315 & 308.297170297549 & -25.4977183397736 & 347.200548042224 & -6.7028297024508 \tabularnewline
98 & 301 & 285.309649597637 & -35.2209348015702 & 351.911285203933 & -15.6903504023633 \tabularnewline
99 & 356 & 358.405455646133 & -3.02747801177543 & 356.622022365642 & 2.40545564613296 \tabularnewline
100 & 348 & 343.309029557603 & -8.29905418525078 & 360.990024627648 & -4.69097044239697 \tabularnewline
101 & 355 & 350.379261923537 & -5.73728881319017 & 365.358026889653 & -4.62073807646289 \tabularnewline
102 & 422 & 443.438047010396 & 32.3366341296942 & 368.22531885991 & 21.4380470103961 \tabularnewline
103 & 465 & 488.663507632821 & 70.243881537013 & 371.092610830166 & 23.6635076328207 \tabularnewline
104 & 467 & 493.748854466478 & 68.0494327275685 & 372.201712805953 & 26.7488544664784 \tabularnewline
105 & 404 & 417.250859180878 & 17.4383260373817 & 373.31081478174 & 13.2508591808784 \tabularnewline
106 & 347 & 341.994502619741 & -21.0634315333585 & 373.068928913618 & -5.00549738025944 \tabularnewline
107 & 305 & 294.654807468157 & -57.4818505136532 & 372.827043045496 & -10.3451925318427 \tabularnewline
108 & 336 & 330.574168419745 & -31.7405155016501 & 373.166347081905 & -5.42583158025531 \tabularnewline
109 & 340 & 331.992067221459 & -25.4977183397736 & 373.505651118315 & -8.00793277854126 \tabularnewline
110 & 318 & 295.917234796298 & -35.2209348015702 & 375.303700005273 & -22.0827652037024 \tabularnewline
111 & 362 & 349.925729119545 & -3.02747801177543 & 377.10174889223 & -12.0742708804547 \tabularnewline
112 & 348 & 325.122465855012 & -8.29905418525078 & 379.176588330239 & -22.8775341449881 \tabularnewline
113 & 363 & 350.485861044942 & -5.73728881319017 & 381.251427768248 & -12.5141389550575 \tabularnewline
114 & 435 & 454.789951910881 & 32.3366341296942 & 382.873413959425 & 19.7899519108811 \tabularnewline
115 & 491 & 527.260718312386 & 70.243881537013 & 384.495400150601 & 36.2607183123855 \tabularnewline
116 & 505 & 555.537665590611 & 68.0494327275685 & 386.41290168182 & 50.5376655906113 \tabularnewline
117 & 404 & 402.231270749579 & 17.4383260373817 & 388.330403213039 & -1.76872925042073 \tabularnewline
118 & 359 & 348.388866476376 & -21.0634315333585 & 390.674565056982 & -10.6111335236239 \tabularnewline
119 & 310 & 284.463123612728 & -57.4818505136532 & 393.018726900926 & -25.5368763872724 \tabularnewline
120 & 337 & 309.398913673082 & -31.7405155016501 & 396.341601828568 & -27.6010863269179 \tabularnewline
121 & 360 & 345.833241583563 & -25.4977183397736 & 399.66447675621 & -14.1667584164366 \tabularnewline
122 & 342 & 314.317448303322 & -35.2209348015702 & 404.903486498249 & -27.6825516966784 \tabularnewline
123 & 406 & 404.884981771489 & -3.02747801177543 & 410.142496240287 & -1.11501822851147 \tabularnewline
124 & 396 & 383.954091264659 & -8.29905418525078 & 416.344962920592 & -12.0459087353409 \tabularnewline
125 & 420 & 423.189859212294 & -5.73728881319017 & 422.547429600896 & 3.1898592122937 \tabularnewline
126 & 472 & 483.873712318056 & 32.3366341296942 & 427.78965355225 & 11.8737123180561 \tabularnewline
127 & 548 & 592.724240959384 & 70.243881537013 & 433.031877503603 & 44.7242409593841 \tabularnewline
128 & 559 & 613.514330136433 & 68.0494327275685 & 436.436237135998 & 54.5143301364332 \tabularnewline
129 & 463 & 468.721077194225 & 17.4383260373817 & 439.840596768394 & 5.72107719422462 \tabularnewline
130 & 407 & 392.687931319752 & -21.0634315333585 & 442.375500213607 & -14.3120686802483 \tabularnewline
131 & 362 & 336.571446854833 & -57.4818505136532 & 444.91040365882 & -25.4285531451666 \tabularnewline
132 & 405 & 393.100333883737 & -31.7405155016501 & 448.640181617913 & -11.8996661162626 \tabularnewline
133 & 417 & 407.127758762768 & -25.4977183397736 & 452.369959577005 & -9.87224123723178 \tabularnewline
134 & 391 & 359.408804900782 & -35.2209348015702 & 457.812129900788 & -31.5911950992179 \tabularnewline
135 & 419 & 377.773177787205 & -3.02747801177543 & 463.254300224571 & -41.2268222127952 \tabularnewline
136 & 461 & 462.688631105858 & -8.29905418525078 & 467.610423079392 & 1.68863110585846 \tabularnewline
137 & 472 & 477.770742878976 & -5.73728881319017 & 471.966545934214 & 5.77074287897614 \tabularnewline
138 & 535 & 562.055066908319 & 32.3366341296942 & 475.608298961987 & 27.0550669083188 \tabularnewline
139 & 622 & 694.506066473227 & 70.243881537013 & 479.25005198976 & 72.506066473227 \tabularnewline
140 & 606 & 660.761165202603 & 68.0494327275685 & 483.189402069829 & 54.7611652026028 \tabularnewline
141 & 508 & 511.432921812721 & 17.4383260373817 & 487.128752149897 & 3.43292181272085 \tabularnewline
142 & 461 & 452.310411781539 & -21.0634315333585 & 490.75301975182 & -8.6895882184611 \tabularnewline
143 & 390 & 343.104563159912 & -57.4818505136532 & 494.377287353742 & -46.8954368400885 \tabularnewline
144 & 432 & 398.310610449871 & -31.7405155016501 & 497.429905051779 & -33.6893895501286 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74577&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]112[/C][C]122.310369902516[/C][C]-25.4977183397736[/C][C]127.187348437257[/C][C]10.3103699025161[/C][/ROW]
[ROW][C]2[/C][C]118[/C][C]144.571402815284[/C][C]-35.2209348015702[/C][C]126.649531986286[/C][C]26.5714028152841[/C][/ROW]
[ROW][C]3[/C][C]132[/C][C]140.915762476461[/C][C]-3.02747801177543[/C][C]126.111715535315[/C][C]8.91576247646078[/C][/ROW]
[ROW][C]4[/C][C]129[/C][C]140.100122400179[/C][C]-8.29905418525078[/C][C]126.198931785072[/C][C]11.1001224001792[/C][/ROW]
[ROW][C]5[/C][C]121[/C][C]121.451140778362[/C][C]-5.73728881319017[/C][C]126.286148034828[/C][C]0.451140778361719[/C][/ROW]
[ROW][C]6[/C][C]135[/C][C]110.930342781525[/C][C]32.3366341296942[/C][C]126.733023088781[/C][C]-24.0696572184753[/C][/ROW]
[ROW][C]7[/C][C]148[/C][C]98.5762203202533[/C][C]70.243881537013[/C][C]127.179898142734[/C][C]-49.4237796797467[/C][/ROW]
[ROW][C]8[/C][C]148[/C][C]100.53435082393[/C][C]68.0494327275685[/C][C]127.416216448501[/C][C]-47.4656491760699[/C][/ROW]
[ROW][C]9[/C][C]136[/C][C]126.909139208349[/C][C]17.4383260373817[/C][C]127.652534754269[/C][C]-9.09086079165087[/C][/ROW]
[ROW][C]10[/C][C]119[/C][C]130.044842451944[/C][C]-21.0634315333585[/C][C]129.018589081415[/C][C]11.0448424519439[/C][/ROW]
[ROW][C]11[/C][C]104[/C][C]135.097207105093[/C][C]-57.4818505136532[/C][C]130.38464340856[/C][C]31.0972071050931[/C][/ROW]
[ROW][C]12[/C][C]118[/C][C]135.378679881299[/C][C]-31.7405155016501[/C][C]132.361835620351[/C][C]17.3786798812987[/C][/ROW]
[ROW][C]13[/C][C]115[/C][C]121.158690507631[/C][C]-25.4977183397736[/C][C]134.339027832143[/C][C]6.15869050763092[/C][/ROW]
[ROW][C]14[/C][C]126[/C][C]152.112577072273[/C][C]-35.2209348015702[/C][C]135.108357729297[/C][C]26.1125770722728[/C][/ROW]
[ROW][C]15[/C][C]141[/C][C]149.149790385323[/C][C]-3.02747801177543[/C][C]135.877687626452[/C][C]8.14979038532329[/C][/ROW]
[ROW][C]16[/C][C]135[/C][C]142.353648187575[/C][C]-8.29905418525078[/C][C]135.945405997676[/C][C]7.35364818757489[/C][/ROW]
[ROW][C]17[/C][C]125[/C][C]119.724164444291[/C][C]-5.73728881319017[/C][C]136.013124368900[/C][C]-5.27583555570945[/C][/ROW]
[ROW][C]18[/C][C]149[/C][C]128.454045572825[/C][C]32.3366341296942[/C][C]137.209320297481[/C][C]-20.5459544271750[/C][/ROW]
[ROW][C]19[/C][C]170[/C][C]131.350602236925[/C][C]70.243881537013[/C][C]138.405516226062[/C][C]-38.6493977630751[/C][/ROW]
[ROW][C]20[/C][C]170[/C][C]130.639161271251[/C][C]68.0494327275685[/C][C]141.311406001181[/C][C]-39.3608387287493[/C][/ROW]
[ROW][C]21[/C][C]158[/C][C]154.344378186319[/C][C]17.4383260373817[/C][C]144.217295776299[/C][C]-3.65562181368119[/C][/ROW]
[ROW][C]22[/C][C]133[/C][C]138.726366614332[/C][C]-21.0634315333585[/C][C]148.337064919027[/C][C]5.7263666143316[/C][/ROW]
[ROW][C]23[/C][C]114[/C][C]133.025016451899[/C][C]-57.4818505136532[/C][C]152.456834061754[/C][C]19.0250164518989[/C][/ROW]
[ROW][C]24[/C][C]140[/C][C]155.614859241740[/C][C]-31.7405155016501[/C][C]156.12565625991[/C][C]15.6148592417402[/C][/ROW]
[ROW][C]25[/C][C]145[/C][C]155.703239881708[/C][C]-25.4977183397736[/C][C]159.794478458065[/C][C]10.7032398817081[/C][/ROW]
[ROW][C]26[/C][C]150[/C][C]173.529500350016[/C][C]-35.2209348015702[/C][C]161.691434451555[/C][C]23.5295003500156[/C][/ROW]
[ROW][C]27[/C][C]178[/C][C]195.439087566732[/C][C]-3.02747801177543[/C][C]163.588390445044[/C][C]17.4390875667319[/C][/ROW]
[ROW][C]28[/C][C]163[/C][C]169.697380992963[/C][C]-8.29905418525078[/C][C]164.601673192288[/C][C]6.69738099296282[/C][/ROW]
[ROW][C]29[/C][C]172[/C][C]184.122332873658[/C][C]-5.73728881319017[/C][C]165.614955939532[/C][C]12.1223328736578[/C][/ROW]
[ROW][C]30[/C][C]178[/C][C]156.43490863713[/C][C]32.3366341296942[/C][C]167.228457233176[/C][C]-21.5650913628700[/C][/ROW]
[ROW][C]31[/C][C]199[/C][C]158.914159936168[/C][C]70.243881537013[/C][C]168.841958526819[/C][C]-40.0858400638321[/C][/ROW]
[ROW][C]32[/C][C]199[/C][C]158.743544009656[/C][C]68.0494327275685[/C][C]171.207023262775[/C][C]-40.2564559903438[/C][/ROW]
[ROW][C]33[/C][C]184[/C][C]176.989585963887[/C][C]17.4383260373817[/C][C]173.572087998732[/C][C]-7.01041403611322[/C][/ROW]
[ROW][C]34[/C][C]162[/C][C]168.510793822090[/C][C]-21.0634315333585[/C][C]176.552637711269[/C][C]6.51079382208968[/C][/ROW]
[ROW][C]35[/C][C]146[/C][C]169.948663089847[/C][C]-57.4818505136532[/C][C]179.533187423806[/C][C]23.9486630898471[/C][/ROW]
[ROW][C]36[/C][C]166[/C][C]181.112749390396[/C][C]-31.7405155016501[/C][C]182.627766111254[/C][C]15.1127493903959[/C][/ROW]
[ROW][C]37[/C][C]171[/C][C]181.775373541071[/C][C]-25.4977183397736[/C][C]185.722344798702[/C][C]10.7753735410714[/C][/ROW]
[ROW][C]38[/C][C]180[/C][C]207.404617284177[/C][C]-35.2209348015702[/C][C]187.816317517393[/C][C]27.4046172841769[/C][/ROW]
[ROW][C]39[/C][C]193[/C][C]199.117187775691[/C][C]-3.02747801177543[/C][C]189.910290236084[/C][C]6.11718777569118[/C][/ROW]
[ROW][C]40[/C][C]181[/C][C]179.167886761944[/C][C]-8.29905418525078[/C][C]191.131167423307[/C][C]-1.83211323805639[/C][/ROW]
[ROW][C]41[/C][C]183[/C][C]179.38524420266[/C][C]-5.73728881319017[/C][C]192.35204461053[/C][C]-3.61475579733994[/C][/ROW]
[ROW][C]42[/C][C]218[/C][C]209.597549257464[/C][C]32.3366341296942[/C][C]194.065816612842[/C][C]-8.40245074253599[/C][/ROW]
[ROW][C]43[/C][C]230[/C][C]193.976529847834[/C][C]70.243881537013[/C][C]195.779588615153[/C][C]-36.0234701521664[/C][/ROW]
[ROW][C]44[/C][C]242[/C][C]217.169180084282[/C][C]68.0494327275685[/C][C]198.781387188149[/C][C]-24.8308199157176[/C][/ROW]
[ROW][C]45[/C][C]209[/C][C]198.778488201474[/C][C]17.4383260373817[/C][C]201.783185761145[/C][C]-10.2215117985265[/C][/ROW]
[ROW][C]46[/C][C]191[/C][C]196.994743228647[/C][C]-21.0634315333585[/C][C]206.068688304712[/C][C]5.99474322864663[/C][/ROW]
[ROW][C]47[/C][C]172[/C][C]191.127659665374[/C][C]-57.4818505136532[/C][C]210.354190848279[/C][C]19.1276596653743[/C][/ROW]
[ROW][C]48[/C][C]194[/C][C]205.555637817977[/C][C]-31.7405155016501[/C][C]214.184877683673[/C][C]11.5556378179768[/C][/ROW]
[ROW][C]49[/C][C]196[/C][C]199.482153820706[/C][C]-25.4977183397736[/C][C]218.015564519068[/C][C]3.482153820706[/C][/ROW]
[ROW][C]50[/C][C]196[/C][C]207.094595379858[/C][C]-35.2209348015702[/C][C]220.126339421712[/C][C]11.0945953798577[/C][/ROW]
[ROW][C]51[/C][C]236[/C][C]252.790363687418[/C][C]-3.02747801177543[/C][C]222.237114324357[/C][C]16.7903636874181[/C][/ROW]
[ROW][C]52[/C][C]235[/C][C]255.361488098016[/C][C]-8.29905418525078[/C][C]222.937566087235[/C][C]20.361488098016[/C][/ROW]
[ROW][C]53[/C][C]229[/C][C]240.099270963078[/C][C]-5.73728881319017[/C][C]223.638017850112[/C][C]11.0992709630780[/C][/ROW]
[ROW][C]54[/C][C]243[/C][C]229.870545963643[/C][C]32.3366341296942[/C][C]223.792819906663[/C][C]-13.1294540363569[/C][/ROW]
[ROW][C]55[/C][C]264[/C][C]233.808496499774[/C][C]70.243881537013[/C][C]223.947621963213[/C][C]-30.1915035002262[/C][/ROW]
[ROW][C]56[/C][C]272[/C][C]252.006292276800[/C][C]68.0494327275685[/C][C]223.944274995632[/C][C]-19.9937077232004[/C][/ROW]
[ROW][C]57[/C][C]237[/C][C]232.620745934568[/C][C]17.4383260373817[/C][C]223.940928028051[/C][C]-4.37925406543229[/C][/ROW]
[ROW][C]58[/C][C]211[/C][C]218.468681624540[/C][C]-21.0634315333585[/C][C]224.594749908819[/C][C]7.46868162453964[/C][/ROW]
[ROW][C]59[/C][C]180[/C][C]192.233278724066[/C][C]-57.4818505136532[/C][C]225.248571789587[/C][C]12.2332787240661[/C][/ROW]
[ROW][C]60[/C][C]201[/C][C]206.719013989328[/C][C]-31.7405155016501[/C][C]227.021501512322[/C][C]5.71901398932818[/C][/ROW]
[ROW][C]61[/C][C]204[/C][C]204.703287104717[/C][C]-25.4977183397736[/C][C]228.794431235057[/C][C]0.703287104716935[/C][/ROW]
[ROW][C]62[/C][C]188[/C][C]180.667428897015[/C][C]-35.2209348015702[/C][C]230.553505904556[/C][C]-7.33257110298547[/C][/ROW]
[ROW][C]63[/C][C]235[/C][C]240.714897437721[/C][C]-3.02747801177543[/C][C]232.312580574055[/C][C]5.71489743772082[/C][/ROW]
[ROW][C]64[/C][C]227[/C][C]228.466222166896[/C][C]-8.29905418525078[/C][C]233.832832018355[/C][C]1.46622216689607[/C][/ROW]
[ROW][C]65[/C][C]234[/C][C]238.384205350535[/C][C]-5.73728881319017[/C][C]235.353083462655[/C][C]4.38420535053535[/C][/ROW]
[ROW][C]66[/C][C]264[/C][C]257.959265943508[/C][C]32.3366341296942[/C][C]237.704099926798[/C][C]-6.04073405649189[/C][/ROW]
[ROW][C]67[/C][C]302[/C][C]293.701002072046[/C][C]70.243881537013[/C][C]240.055116390940[/C][C]-8.2989979279535[/C][/ROW]
[ROW][C]68[/C][C]293[/C][C]274.704018307145[/C][C]68.0494327275685[/C][C]243.246548965287[/C][C]-18.2959816928552[/C][/ROW]
[ROW][C]69[/C][C]259[/C][C]254.123692422985[/C][C]17.4383260373817[/C][C]246.437981539633[/C][C]-4.87630757701459[/C][/ROW]
[ROW][C]70[/C][C]229[/C][C]228.959774829309[/C][C]-21.0634315333585[/C][C]250.103656704049[/C][C]-0.0402251706909169[/C][/ROW]
[ROW][C]71[/C][C]203[/C][C]209.712518645187[/C][C]-57.4818505136532[/C][C]253.769331868466[/C][C]6.71251864518734[/C][/ROW]
[ROW][C]72[/C][C]229[/C][C]231.656908610152[/C][C]-31.7405155016501[/C][C]258.083606891498[/C][C]2.65690861015162[/C][/ROW]
[ROW][C]73[/C][C]242[/C][C]247.099836425243[/C][C]-25.4977183397736[/C][C]262.397881914531[/C][C]5.09983642524259[/C][/ROW]
[ROW][C]74[/C][C]233[/C][C]234.466420806155[/C][C]-35.2209348015702[/C][C]266.754513995415[/C][C]1.46642080615493[/C][/ROW]
[ROW][C]75[/C][C]267[/C][C]265.916331935476[/C][C]-3.02747801177543[/C][C]271.111146076299[/C][C]-1.08366806452392[/C][/ROW]
[ROW][C]76[/C][C]269[/C][C]271.460644361895[/C][C]-8.29905418525078[/C][C]274.838409823356[/C][C]2.46064436189482[/C][/ROW]
[ROW][C]77[/C][C]270[/C][C]267.171615242778[/C][C]-5.73728881319017[/C][C]278.565673570413[/C][C]-2.82838475722247[/C][/ROW]
[ROW][C]78[/C][C]315[/C][C]315.577201667444[/C][C]32.3366341296942[/C][C]282.086164202862[/C][C]0.577201667444172[/C][/ROW]
[ROW][C]79[/C][C]364[/C][C]372.149463627676[/C][C]70.243881537013[/C][C]285.606654835311[/C][C]8.14946362767643[/C][/ROW]
[ROW][C]80[/C][C]347[/C][C]336.599067918864[/C][C]68.0494327275685[/C][C]289.351499353568[/C][C]-10.4009320811360[/C][/ROW]
[ROW][C]81[/C][C]312[/C][C]313.465330090794[/C][C]17.4383260373817[/C][C]293.096343871825[/C][C]1.46533009079377[/C][/ROW]
[ROW][C]82[/C][C]274[/C][C]271.987392513557[/C][C]-21.0634315333585[/C][C]297.076039019802[/C][C]-2.01260748644347[/C][/ROW]
[ROW][C]83[/C][C]237[/C][C]230.426116345874[/C][C]-57.4818505136532[/C][C]301.055734167779[/C][C]-6.57388365412612[/C][/ROW]
[ROW][C]84[/C][C]278[/C][C]282.334153061375[/C][C]-31.7405155016501[/C][C]305.406362440275[/C][C]4.33415306137465[/C][/ROW]
[ROW][C]85[/C][C]284[/C][C]283.740727627002[/C][C]-25.4977183397736[/C][C]309.756990712771[/C][C]-0.259272372997827[/C][/ROW]
[ROW][C]86[/C][C]277[/C][C]275.191453926064[/C][C]-35.2209348015702[/C][C]314.029480875506[/C][C]-1.80854607393582[/C][/ROW]
[ROW][C]87[/C][C]317[/C][C]318.725506973535[/C][C]-3.02747801177543[/C][C]318.301971038240[/C][C]1.72550697353495[/C][/ROW]
[ROW][C]88[/C][C]313[/C][C]312.591984804652[/C][C]-8.29905418525078[/C][C]321.707069380599[/C][C]-0.408015195348185[/C][/ROW]
[ROW][C]89[/C][C]318[/C][C]316.625121090233[/C][C]-5.73728881319017[/C][C]325.112167722957[/C][C]-1.37487890976729[/C][/ROW]
[ROW][C]90[/C][C]374[/C][C]388.011977149899[/C][C]32.3366341296942[/C][C]327.651388720406[/C][C]14.0119771498995[/C][/ROW]
[ROW][C]91[/C][C]413[/C][C]425.565508745132[/C][C]70.243881537013[/C][C]330.190609717855[/C][C]12.5655087451319[/C][/ROW]
[ROW][C]92[/C][C]405[/C][C]409.46746282644[/C][C]68.0494327275685[/C][C]332.483104445992[/C][C]4.46746282643971[/C][/ROW]
[ROW][C]93[/C][C]355[/C][C]357.78607478849[/C][C]17.4383260373817[/C][C]334.775599174129[/C][C]2.78607478848983[/C][/ROW]
[ROW][C]94[/C][C]306[/C][C]295.714136380013[/C][C]-21.0634315333585[/C][C]337.349295153346[/C][C]-10.2858636199874[/C][/ROW]
[ROW][C]95[/C][C]271[/C][C]259.55885938109[/C][C]-57.4818505136532[/C][C]339.922991132563[/C][C]-11.4411406189101[/C][/ROW]
[ROW][C]96[/C][C]306[/C][C]300.178745914256[/C][C]-31.7405155016501[/C][C]343.561769587394[/C][C]-5.82125408574382[/C][/ROW]
[ROW][C]97[/C][C]315[/C][C]308.297170297549[/C][C]-25.4977183397736[/C][C]347.200548042224[/C][C]-6.7028297024508[/C][/ROW]
[ROW][C]98[/C][C]301[/C][C]285.309649597637[/C][C]-35.2209348015702[/C][C]351.911285203933[/C][C]-15.6903504023633[/C][/ROW]
[ROW][C]99[/C][C]356[/C][C]358.405455646133[/C][C]-3.02747801177543[/C][C]356.622022365642[/C][C]2.40545564613296[/C][/ROW]
[ROW][C]100[/C][C]348[/C][C]343.309029557603[/C][C]-8.29905418525078[/C][C]360.990024627648[/C][C]-4.69097044239697[/C][/ROW]
[ROW][C]101[/C][C]355[/C][C]350.379261923537[/C][C]-5.73728881319017[/C][C]365.358026889653[/C][C]-4.62073807646289[/C][/ROW]
[ROW][C]102[/C][C]422[/C][C]443.438047010396[/C][C]32.3366341296942[/C][C]368.22531885991[/C][C]21.4380470103961[/C][/ROW]
[ROW][C]103[/C][C]465[/C][C]488.663507632821[/C][C]70.243881537013[/C][C]371.092610830166[/C][C]23.6635076328207[/C][/ROW]
[ROW][C]104[/C][C]467[/C][C]493.748854466478[/C][C]68.0494327275685[/C][C]372.201712805953[/C][C]26.7488544664784[/C][/ROW]
[ROW][C]105[/C][C]404[/C][C]417.250859180878[/C][C]17.4383260373817[/C][C]373.31081478174[/C][C]13.2508591808784[/C][/ROW]
[ROW][C]106[/C][C]347[/C][C]341.994502619741[/C][C]-21.0634315333585[/C][C]373.068928913618[/C][C]-5.00549738025944[/C][/ROW]
[ROW][C]107[/C][C]305[/C][C]294.654807468157[/C][C]-57.4818505136532[/C][C]372.827043045496[/C][C]-10.3451925318427[/C][/ROW]
[ROW][C]108[/C][C]336[/C][C]330.574168419745[/C][C]-31.7405155016501[/C][C]373.166347081905[/C][C]-5.42583158025531[/C][/ROW]
[ROW][C]109[/C][C]340[/C][C]331.992067221459[/C][C]-25.4977183397736[/C][C]373.505651118315[/C][C]-8.00793277854126[/C][/ROW]
[ROW][C]110[/C][C]318[/C][C]295.917234796298[/C][C]-35.2209348015702[/C][C]375.303700005273[/C][C]-22.0827652037024[/C][/ROW]
[ROW][C]111[/C][C]362[/C][C]349.925729119545[/C][C]-3.02747801177543[/C][C]377.10174889223[/C][C]-12.0742708804547[/C][/ROW]
[ROW][C]112[/C][C]348[/C][C]325.122465855012[/C][C]-8.29905418525078[/C][C]379.176588330239[/C][C]-22.8775341449881[/C][/ROW]
[ROW][C]113[/C][C]363[/C][C]350.485861044942[/C][C]-5.73728881319017[/C][C]381.251427768248[/C][C]-12.5141389550575[/C][/ROW]
[ROW][C]114[/C][C]435[/C][C]454.789951910881[/C][C]32.3366341296942[/C][C]382.873413959425[/C][C]19.7899519108811[/C][/ROW]
[ROW][C]115[/C][C]491[/C][C]527.260718312386[/C][C]70.243881537013[/C][C]384.495400150601[/C][C]36.2607183123855[/C][/ROW]
[ROW][C]116[/C][C]505[/C][C]555.537665590611[/C][C]68.0494327275685[/C][C]386.41290168182[/C][C]50.5376655906113[/C][/ROW]
[ROW][C]117[/C][C]404[/C][C]402.231270749579[/C][C]17.4383260373817[/C][C]388.330403213039[/C][C]-1.76872925042073[/C][/ROW]
[ROW][C]118[/C][C]359[/C][C]348.388866476376[/C][C]-21.0634315333585[/C][C]390.674565056982[/C][C]-10.6111335236239[/C][/ROW]
[ROW][C]119[/C][C]310[/C][C]284.463123612728[/C][C]-57.4818505136532[/C][C]393.018726900926[/C][C]-25.5368763872724[/C][/ROW]
[ROW][C]120[/C][C]337[/C][C]309.398913673082[/C][C]-31.7405155016501[/C][C]396.341601828568[/C][C]-27.6010863269179[/C][/ROW]
[ROW][C]121[/C][C]360[/C][C]345.833241583563[/C][C]-25.4977183397736[/C][C]399.66447675621[/C][C]-14.1667584164366[/C][/ROW]
[ROW][C]122[/C][C]342[/C][C]314.317448303322[/C][C]-35.2209348015702[/C][C]404.903486498249[/C][C]-27.6825516966784[/C][/ROW]
[ROW][C]123[/C][C]406[/C][C]404.884981771489[/C][C]-3.02747801177543[/C][C]410.142496240287[/C][C]-1.11501822851147[/C][/ROW]
[ROW][C]124[/C][C]396[/C][C]383.954091264659[/C][C]-8.29905418525078[/C][C]416.344962920592[/C][C]-12.0459087353409[/C][/ROW]
[ROW][C]125[/C][C]420[/C][C]423.189859212294[/C][C]-5.73728881319017[/C][C]422.547429600896[/C][C]3.1898592122937[/C][/ROW]
[ROW][C]126[/C][C]472[/C][C]483.873712318056[/C][C]32.3366341296942[/C][C]427.78965355225[/C][C]11.8737123180561[/C][/ROW]
[ROW][C]127[/C][C]548[/C][C]592.724240959384[/C][C]70.243881537013[/C][C]433.031877503603[/C][C]44.7242409593841[/C][/ROW]
[ROW][C]128[/C][C]559[/C][C]613.514330136433[/C][C]68.0494327275685[/C][C]436.436237135998[/C][C]54.5143301364332[/C][/ROW]
[ROW][C]129[/C][C]463[/C][C]468.721077194225[/C][C]17.4383260373817[/C][C]439.840596768394[/C][C]5.72107719422462[/C][/ROW]
[ROW][C]130[/C][C]407[/C][C]392.687931319752[/C][C]-21.0634315333585[/C][C]442.375500213607[/C][C]-14.3120686802483[/C][/ROW]
[ROW][C]131[/C][C]362[/C][C]336.571446854833[/C][C]-57.4818505136532[/C][C]444.91040365882[/C][C]-25.4285531451666[/C][/ROW]
[ROW][C]132[/C][C]405[/C][C]393.100333883737[/C][C]-31.7405155016501[/C][C]448.640181617913[/C][C]-11.8996661162626[/C][/ROW]
[ROW][C]133[/C][C]417[/C][C]407.127758762768[/C][C]-25.4977183397736[/C][C]452.369959577005[/C][C]-9.87224123723178[/C][/ROW]
[ROW][C]134[/C][C]391[/C][C]359.408804900782[/C][C]-35.2209348015702[/C][C]457.812129900788[/C][C]-31.5911950992179[/C][/ROW]
[ROW][C]135[/C][C]419[/C][C]377.773177787205[/C][C]-3.02747801177543[/C][C]463.254300224571[/C][C]-41.2268222127952[/C][/ROW]
[ROW][C]136[/C][C]461[/C][C]462.688631105858[/C][C]-8.29905418525078[/C][C]467.610423079392[/C][C]1.68863110585846[/C][/ROW]
[ROW][C]137[/C][C]472[/C][C]477.770742878976[/C][C]-5.73728881319017[/C][C]471.966545934214[/C][C]5.77074287897614[/C][/ROW]
[ROW][C]138[/C][C]535[/C][C]562.055066908319[/C][C]32.3366341296942[/C][C]475.608298961987[/C][C]27.0550669083188[/C][/ROW]
[ROW][C]139[/C][C]622[/C][C]694.506066473227[/C][C]70.243881537013[/C][C]479.25005198976[/C][C]72.506066473227[/C][/ROW]
[ROW][C]140[/C][C]606[/C][C]660.761165202603[/C][C]68.0494327275685[/C][C]483.189402069829[/C][C]54.7611652026028[/C][/ROW]
[ROW][C]141[/C][C]508[/C][C]511.432921812721[/C][C]17.4383260373817[/C][C]487.128752149897[/C][C]3.43292181272085[/C][/ROW]
[ROW][C]142[/C][C]461[/C][C]452.310411781539[/C][C]-21.0634315333585[/C][C]490.75301975182[/C][C]-8.6895882184611[/C][/ROW]
[ROW][C]143[/C][C]390[/C][C]343.104563159912[/C][C]-57.4818505136532[/C][C]494.377287353742[/C][C]-46.8954368400885[/C][/ROW]
[ROW][C]144[/C][C]432[/C][C]398.310610449871[/C][C]-31.7405155016501[/C][C]497.429905051779[/C][C]-33.6893895501286[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74577&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74577&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
1112122.310369902516-25.4977183397736127.18734843725710.3103699025161
2118144.571402815284-35.2209348015702126.64953198628626.5714028152841
3132140.915762476461-3.02747801177543126.1117155353158.91576247646078
4129140.100122400179-8.29905418525078126.19893178507211.1001224001792
5121121.451140778362-5.73728881319017126.2861480348280.451140778361719
6135110.93034278152532.3366341296942126.733023088781-24.0696572184753
714898.576220320253370.243881537013127.179898142734-49.4237796797467
8148100.5343508239368.0494327275685127.416216448501-47.4656491760699
9136126.90913920834917.4383260373817127.652534754269-9.09086079165087
10119130.044842451944-21.0634315333585129.01858908141511.0448424519439
11104135.097207105093-57.4818505136532130.3846434085631.0972071050931
12118135.378679881299-31.7405155016501132.36183562035117.3786798812987
13115121.158690507631-25.4977183397736134.3390278321436.15869050763092
14126152.112577072273-35.2209348015702135.10835772929726.1125770722728
15141149.149790385323-3.02747801177543135.8776876264528.14979038532329
16135142.353648187575-8.29905418525078135.9454059976767.35364818757489
17125119.724164444291-5.73728881319017136.013124368900-5.27583555570945
18149128.45404557282532.3366341296942137.209320297481-20.5459544271750
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Parameters (Session):
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')