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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_decomposeloess.wasp
Title produced by softwareDecomposition by Loess
Date of computationWed, 10 Dec 2014 15:39:48 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/10/t14182260205rj02tntjaxjz60.htm/, Retrieved Sun, 12 May 2024 08:14:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265409, Retrieved Sun, 12 May 2024 08:14:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact90
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [Univariate Data Series] [Identifying Integ...] [2009-11-22 12:08:06] [b98453cac15ba1066b407e146608df68]
- RMP         [Classical Decomposition] [Births] [2010-11-30 13:45:46] [b98453cac15ba1066b407e146608df68]
- RM            [Classical Decomposition] [WS8 Q1] [2014-11-19 13:14:43] [bcf5edf18529a33bd1494456d2c6cb9a]
- RMPD              [Decomposition by Loess] [Seasonal Decompos...] [2014-12-10 15:39:48] [0ce3062f3159e08d115eba7e96d082ef] [Current]
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Dataseries X:
2132
1964
2209
1965
2631
2583
2714
2248
2364
3042
2316
2735
2493
2136
2467
2414
2556
2768
2998
2573
3005
3469
2540
3187
2689
2154
3065
2397
2787
3579
2915
3025
3245
3328
2840
3342
2261
2590
2624
1860
2577
2646
2639
2807
2350
3053
2203
2471
1967
2473
2397
1904
2732
2297
2734
2719
2296
3243
2166
2261
2408
2536
2324
2178
2803
2604
2782
2656
2801
3122
2393
2233
2451
2596
2467
2210
2948
2507
3019
2401
2818
3305
2101
2582
2407
2416
2463
2228
2616
2934
2668
2808
2664
3112
2321
2718
2297
2534
2647
2064
2642
2702
2348
2734
2709
3206
2214
2531
2119
2369
2682
1840
2622
2570
2447
2871
2485
2957
2102
2250
2051
2260
2327
1781
2631
2180
2150
2837
1976
2836
2203
1770




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' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265409&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' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265409&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265409&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' @ yule.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=265409&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=265409&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265409&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
121322230.48948487179-256.6407370118072290.1512521400298.48948487179
219641806.00021185301-188.6947908344322310.69457898142-157.999788146985
322092126.51121559119-39.749121414012331.23790582282-82.488784408808
419652056.50137358364-478.6507000099982352.1493264263591.5013735836442
526312757.85519724991131.0840557202022373.06074702989126.855197249908
625832653.98202550721116.8361002011642395.1818742916370.9820255072086
727142888.19968379957122.4973146470672417.30300155336174.199683799568
822481907.74630922424148.0259843211522440.22770645461-340.253690775763
923642203.2017917719561.64579687219142463.15241135586-160.798208228047
1030422995.84410829173605.8558202930142482.30007141526-46.155891708273
1123162365.3955570638-234.8432885384622501.4477314746649.3955570637991
1227352934.7733083326212.63350910745062522.59318255993199.773308332624
1324932698.90210336662-256.6407370118072543.73863364519205.90210336662
1421361887.93328003835-188.6947908344322572.76151079608-248.066719961648
1524672371.96473346704-39.749121414012601.78438794697-95.0352665329633
1624142674.98526786611-478.6507000099982631.66543214389260.985267866111
1725562319.369467939131.0840557202022661.5464763408-236.630532061003
1827682730.40383117675116.8361002011642688.76006862208-37.5961688232478
1929983157.52902444957122.4973146470672715.97366090337159.529024449566
2025732257.23019811795148.0259843211522740.7438175609-315.769801882051
2130053182.8402289093861.64579687219142765.51397421843177.840228909379
2234693543.76422257698605.8558202930142788.3799571374.7642225769823
2325402503.59734849688-234.8432885384622811.24594004158-36.4026515031173
2431873525.3313284599312.63350910745062836.03516243262338.331328459931
2526892773.81635218815-256.6407370118072860.8243848236684.8163521881506
2621541616.72806571194-188.6947908344322879.96672512249-537.27193428806
2730653270.64005599268-39.749121414012899.10906542133205.640055992683
2823972361.63846690408-478.6507000099982911.01223310591-35.3615330959155
2927872520.0005434893131.0840557202022922.9154007905-266.999456510703
3035794110.5949607629116.8361002011642930.56893903593531.594960762904
3129152769.28020807157122.4973146470672938.22247728136-145.71979192843
3230252969.0521762948148.0259843211522932.92183938405-55.9478237051999
3332453500.7330016410861.64579687219142927.62120148673255.733001641078
3433283153.92776577566605.8558202930142896.21641393133-174.072234224339
3528403050.03166216254-234.8432885384622864.81162637592210.031662162541
3633423851.1150017451112.63350910745062820.25148914744509.115001745111
3722612002.94938509285-256.6407370118072775.69135191896-258.050614907148
3825902639.81587700445-188.6947908344322728.8789138299949.8158770044452
3926242605.68264567299-39.749121414012682.06647574102-18.3173543270086
4018601564.88764316428-478.6507000099982633.76305684572-295.11235683572
4125772437.45630632938131.0840557202022585.45963795042-139.54369367062
4226462630.61353768865116.8361002011642544.55036211019-15.3864623113518
4326392651.86159908298122.4973146470672503.6410862699612.8615990829753
4428072980.94683922549148.0259843211522485.02717645335173.946839225495
4523502171.9409364910661.64579687219142466.41326663675-178.059063508938
4630533039.76674518332605.8558202930142460.37743452366-13.2332548166769
4722032186.50168612788-234.8432885384622454.34160241058-16.4983138721182
4824712478.8214681662712.63350910745062450.545022726287.82146816627028
4919671743.89229396983-256.6407370118072446.74844304198-223.10770603017
5024732689.56764953797-188.6947908344322445.12714129646216.567649537973
5123972390.24328186307-39.749121414012443.50583955094-6.75671813693043
5219041840.81191514678-478.6507000099982445.83878486322-63.1880848532219
5327322884.7442141043131.0840557202022448.1717301755152.744214104297
5422972025.61551696278116.8361002011642451.54838283606-271.384483037221
5527342890.57764985632122.4973146470672454.92503549661156.577649856319
5627192827.8320717246148.0259843211522462.14194395425108.832071724598
5722962060.9953507159261.64579687219142469.35885241188-235.004649284077
5832433399.31430550926605.8558202930142480.82987419772156.314305509264
5921662074.5423925549-234.8432885384622492.30089598356-91.457607445097
6022612004.0247481812412.63350910745062505.34174271131-256.975251818763
6124082554.25814757274-256.6407370118072518.38258943907146.258147572742
6225362728.87257992838-188.6947908344322531.82221090605192.87257992838
6323242142.48728904097-39.749121414012545.26183237304-181.512710959029
6421782278.152909604-478.6507000099982556.497790406100.152909604
6528032907.18219584084131.0840557202022567.73374843896104.182195840842
6626042518.82258579447116.8361002011642572.34131400437-85.1774142055338
6727822864.55380578315122.4973146470672576.9488795697882.5538057831495
6826562584.77564007091148.0259843211522579.19837560794-71.2243599290896
6928012958.9063314817261.64579687219142581.44787164609157.906331481719
7031223050.87272820477605.8558202930142587.27145150221-71.1272717952265
7123932427.74825718013-234.8432885384622593.0950313583434.7482571801261
7222331856.0956263308512.63350910745062597.2708645617-376.904373669147
7324512557.19403924675-256.6407370118072601.44669776506106.194039246751
7425962776.78223743487-188.6947908344322603.91255339956180.782237434871
7524672367.37071237994-39.749121414012606.37840903407-99.6292876200555
7622102290.91138525249-478.6507000099982607.739314757580.9113852524943
7729483155.81572379886131.0840557202022609.10022048094207.815723798856
7825072288.32856209714116.8361002011642608.83533770169-218.671437902857
7930193306.93223043049122.4973146470672608.57045492244287.932230430489
8024012051.18769960122148.0259843211522602.78631607763-349.812300398778
8128182977.35202589561.64579687219142597.00217723281159.352025895003
8233053411.3674530876605.8558202930142592.77672661939106.367453087597
8321011848.29201253249-234.8432885384622588.55127600597-252.707987467511
8425822562.0227778792712.63350910745062589.34371301328-19.977222120735
8524072480.50458699121-256.6407370118072590.136150020673.5045869912115
8624162426.79989423348-188.6947908344322593.8948966009510.7998942334848
8724632368.09547823271-39.749121414012597.6536431813-94.9045217672888
8822282334.69802752918-478.6507000099982599.95267248081106.698027529185
8926162498.66424249947131.0840557202022602.25170178033-117.33575750053
9029343145.51866723217116.8361002011642605.64523256666211.518667232175
9126682604.46392199994122.4973146470672609.038763353-63.5360780000619
9228082855.92100872758148.0259843211522612.0530069512747.9210087275806
9326642651.2869525782761.64579687219142615.06725054954-12.7130474217302
9431123004.21261494092605.8558202930142613.93156476607-107.787385059083
9523212264.04740955586-234.8432885384622612.7958789826-56.9525904441375
9627182820.5372242777112.63350910745062602.82926661483102.537224277714
9722972257.77808276474-256.6407370118072592.86265424707-39.2219172352629
9825342672.58686651066-188.6947908344322584.10792432377138.58686651066
9926472758.39592701354-39.749121414012575.35319440047111.395927013537
10020642037.29022522679-478.6507000099982569.3604747832-26.7097747732059
10126422589.54818911386131.0840557202022563.36775516593-52.4518108861371
10227022734.43681539398116.8361002011642552.7270844048632.436815393979
10323482031.41627170915122.4973146470672542.08641364378-316.583728290846
10427342787.85381846588148.0259843211522532.1201972129753.8538184658769
10527092834.2002223456561.64579687219142522.15398078216125.200222345647
10632063289.1635590775605.8558202930142516.9806206294983.1635590775004
10722142151.03602806165-234.8432885384622511.80726047681-62.9639719383481
10825312540.6625367399712.63350910745062508.703954152589.66253673997016
10921191989.04008918346-256.6407370118072505.60064782835-129.959910816541
11023692425.83524035742-188.6947908344322500.8595504770156.8352403574231
11126822907.63066828834-39.749121414012496.11845312567225.63066828834
11218401673.44560837632-478.6507000099982485.20509163367-166.554391623677
11326222638.62421413812131.0840557202022474.2917301416816.6242141381181
11425702563.38700591122116.8361002011642459.77689388762-6.61299408877994
11524472326.24062771938122.4973146470672445.26205763355-120.759372280619
11628713164.14703847375148.0259843211522429.8269772051293.147038473749
11724852493.9623063511661.64579687219142414.391896776648.96230635116399
11829572907.55926366634605.8558202930142400.58491604065-49.4407363336632
11921022052.06535323381-234.8432885384622386.77793530465-49.9346467661921
12022502117.8904609501812.63350910745062369.47602994237-132.109539049821
12120512006.46661243172-256.6407370118072352.17412458009-44.53338756828
12222602375.65711328673-188.6947908344322333.0376775477115.657113286733
12323272379.8478908987-39.749121414012313.9012305153152.8478908986986
12417811744.96464920673-478.6507000099982295.68605080327-36.0353507932682
12526312853.44507318858131.0840557202022277.47087109122222.445073188576
12621801988.9530204934116.8361002011642254.21087930544-191.0469795066
12721501946.55179783328122.4973146470672230.95088751965-203.448202166717
12828373319.41511535328148.0259843211522206.55890032557482.41511535328
12919761708.1872899963261.64579687219142182.16691313149-267.812710003677
13028362908.91464965551605.8558202930142157.2295300514872.9146496555059
13122032508.55114156699-234.8432885384622132.29214697148305.551141566986
13217701420.6325187084612.63350910745062106.73397218408-349.367481291536

\begin{tabular}{lllllllll}
\hline
Seasonal Decomposition by Loess - Time Series Components \tabularnewline
t & Observed & Fitted & Seasonal & Trend & Remainder \tabularnewline
1 & 2132 & 2230.48948487179 & -256.640737011807 & 2290.15125214002 & 98.48948487179 \tabularnewline
2 & 1964 & 1806.00021185301 & -188.694790834432 & 2310.69457898142 & -157.999788146985 \tabularnewline
3 & 2209 & 2126.51121559119 & -39.74912141401 & 2331.23790582282 & -82.488784408808 \tabularnewline
4 & 1965 & 2056.50137358364 & -478.650700009998 & 2352.14932642635 & 91.5013735836442 \tabularnewline
5 & 2631 & 2757.85519724991 & 131.084055720202 & 2373.06074702989 & 126.855197249908 \tabularnewline
6 & 2583 & 2653.98202550721 & 116.836100201164 & 2395.18187429163 & 70.9820255072086 \tabularnewline
7 & 2714 & 2888.19968379957 & 122.497314647067 & 2417.30300155336 & 174.199683799568 \tabularnewline
8 & 2248 & 1907.74630922424 & 148.025984321152 & 2440.22770645461 & -340.253690775763 \tabularnewline
9 & 2364 & 2203.20179177195 & 61.6457968721914 & 2463.15241135586 & -160.798208228047 \tabularnewline
10 & 3042 & 2995.84410829173 & 605.855820293014 & 2482.30007141526 & -46.155891708273 \tabularnewline
11 & 2316 & 2365.3955570638 & -234.843288538462 & 2501.44773147466 & 49.3955570637991 \tabularnewline
12 & 2735 & 2934.77330833262 & 12.6335091074506 & 2522.59318255993 & 199.773308332624 \tabularnewline
13 & 2493 & 2698.90210336662 & -256.640737011807 & 2543.73863364519 & 205.90210336662 \tabularnewline
14 & 2136 & 1887.93328003835 & -188.694790834432 & 2572.76151079608 & -248.066719961648 \tabularnewline
15 & 2467 & 2371.96473346704 & -39.74912141401 & 2601.78438794697 & -95.0352665329633 \tabularnewline
16 & 2414 & 2674.98526786611 & -478.650700009998 & 2631.66543214389 & 260.985267866111 \tabularnewline
17 & 2556 & 2319.369467939 & 131.084055720202 & 2661.5464763408 & -236.630532061003 \tabularnewline
18 & 2768 & 2730.40383117675 & 116.836100201164 & 2688.76006862208 & -37.5961688232478 \tabularnewline
19 & 2998 & 3157.52902444957 & 122.497314647067 & 2715.97366090337 & 159.529024449566 \tabularnewline
20 & 2573 & 2257.23019811795 & 148.025984321152 & 2740.7438175609 & -315.769801882051 \tabularnewline
21 & 3005 & 3182.84022890938 & 61.6457968721914 & 2765.51397421843 & 177.840228909379 \tabularnewline
22 & 3469 & 3543.76422257698 & 605.855820293014 & 2788.37995713 & 74.7642225769823 \tabularnewline
23 & 2540 & 2503.59734849688 & -234.843288538462 & 2811.24594004158 & -36.4026515031173 \tabularnewline
24 & 3187 & 3525.33132845993 & 12.6335091074506 & 2836.03516243262 & 338.331328459931 \tabularnewline
25 & 2689 & 2773.81635218815 & -256.640737011807 & 2860.82438482366 & 84.8163521881506 \tabularnewline
26 & 2154 & 1616.72806571194 & -188.694790834432 & 2879.96672512249 & -537.27193428806 \tabularnewline
27 & 3065 & 3270.64005599268 & -39.74912141401 & 2899.10906542133 & 205.640055992683 \tabularnewline
28 & 2397 & 2361.63846690408 & -478.650700009998 & 2911.01223310591 & -35.3615330959155 \tabularnewline
29 & 2787 & 2520.0005434893 & 131.084055720202 & 2922.9154007905 & -266.999456510703 \tabularnewline
30 & 3579 & 4110.5949607629 & 116.836100201164 & 2930.56893903593 & 531.594960762904 \tabularnewline
31 & 2915 & 2769.28020807157 & 122.497314647067 & 2938.22247728136 & -145.71979192843 \tabularnewline
32 & 3025 & 2969.0521762948 & 148.025984321152 & 2932.92183938405 & -55.9478237051999 \tabularnewline
33 & 3245 & 3500.73300164108 & 61.6457968721914 & 2927.62120148673 & 255.733001641078 \tabularnewline
34 & 3328 & 3153.92776577566 & 605.855820293014 & 2896.21641393133 & -174.072234224339 \tabularnewline
35 & 2840 & 3050.03166216254 & -234.843288538462 & 2864.81162637592 & 210.031662162541 \tabularnewline
36 & 3342 & 3851.11500174511 & 12.6335091074506 & 2820.25148914744 & 509.115001745111 \tabularnewline
37 & 2261 & 2002.94938509285 & -256.640737011807 & 2775.69135191896 & -258.050614907148 \tabularnewline
38 & 2590 & 2639.81587700445 & -188.694790834432 & 2728.87891382999 & 49.8158770044452 \tabularnewline
39 & 2624 & 2605.68264567299 & -39.74912141401 & 2682.06647574102 & -18.3173543270086 \tabularnewline
40 & 1860 & 1564.88764316428 & -478.650700009998 & 2633.76305684572 & -295.11235683572 \tabularnewline
41 & 2577 & 2437.45630632938 & 131.084055720202 & 2585.45963795042 & -139.54369367062 \tabularnewline
42 & 2646 & 2630.61353768865 & 116.836100201164 & 2544.55036211019 & -15.3864623113518 \tabularnewline
43 & 2639 & 2651.86159908298 & 122.497314647067 & 2503.64108626996 & 12.8615990829753 \tabularnewline
44 & 2807 & 2980.94683922549 & 148.025984321152 & 2485.02717645335 & 173.946839225495 \tabularnewline
45 & 2350 & 2171.94093649106 & 61.6457968721914 & 2466.41326663675 & -178.059063508938 \tabularnewline
46 & 3053 & 3039.76674518332 & 605.855820293014 & 2460.37743452366 & -13.2332548166769 \tabularnewline
47 & 2203 & 2186.50168612788 & -234.843288538462 & 2454.34160241058 & -16.4983138721182 \tabularnewline
48 & 2471 & 2478.82146816627 & 12.6335091074506 & 2450.54502272628 & 7.82146816627028 \tabularnewline
49 & 1967 & 1743.89229396983 & -256.640737011807 & 2446.74844304198 & -223.10770603017 \tabularnewline
50 & 2473 & 2689.56764953797 & -188.694790834432 & 2445.12714129646 & 216.567649537973 \tabularnewline
51 & 2397 & 2390.24328186307 & -39.74912141401 & 2443.50583955094 & -6.75671813693043 \tabularnewline
52 & 1904 & 1840.81191514678 & -478.650700009998 & 2445.83878486322 & -63.1880848532219 \tabularnewline
53 & 2732 & 2884.7442141043 & 131.084055720202 & 2448.1717301755 & 152.744214104297 \tabularnewline
54 & 2297 & 2025.61551696278 & 116.836100201164 & 2451.54838283606 & -271.384483037221 \tabularnewline
55 & 2734 & 2890.57764985632 & 122.497314647067 & 2454.92503549661 & 156.577649856319 \tabularnewline
56 & 2719 & 2827.8320717246 & 148.025984321152 & 2462.14194395425 & 108.832071724598 \tabularnewline
57 & 2296 & 2060.99535071592 & 61.6457968721914 & 2469.35885241188 & -235.004649284077 \tabularnewline
58 & 3243 & 3399.31430550926 & 605.855820293014 & 2480.82987419772 & 156.314305509264 \tabularnewline
59 & 2166 & 2074.5423925549 & -234.843288538462 & 2492.30089598356 & -91.457607445097 \tabularnewline
60 & 2261 & 2004.02474818124 & 12.6335091074506 & 2505.34174271131 & -256.975251818763 \tabularnewline
61 & 2408 & 2554.25814757274 & -256.640737011807 & 2518.38258943907 & 146.258147572742 \tabularnewline
62 & 2536 & 2728.87257992838 & -188.694790834432 & 2531.82221090605 & 192.87257992838 \tabularnewline
63 & 2324 & 2142.48728904097 & -39.74912141401 & 2545.26183237304 & -181.512710959029 \tabularnewline
64 & 2178 & 2278.152909604 & -478.650700009998 & 2556.497790406 & 100.152909604 \tabularnewline
65 & 2803 & 2907.18219584084 & 131.084055720202 & 2567.73374843896 & 104.182195840842 \tabularnewline
66 & 2604 & 2518.82258579447 & 116.836100201164 & 2572.34131400437 & -85.1774142055338 \tabularnewline
67 & 2782 & 2864.55380578315 & 122.497314647067 & 2576.94887956978 & 82.5538057831495 \tabularnewline
68 & 2656 & 2584.77564007091 & 148.025984321152 & 2579.19837560794 & -71.2243599290896 \tabularnewline
69 & 2801 & 2958.90633148172 & 61.6457968721914 & 2581.44787164609 & 157.906331481719 \tabularnewline
70 & 3122 & 3050.87272820477 & 605.855820293014 & 2587.27145150221 & -71.1272717952265 \tabularnewline
71 & 2393 & 2427.74825718013 & -234.843288538462 & 2593.09503135834 & 34.7482571801261 \tabularnewline
72 & 2233 & 1856.09562633085 & 12.6335091074506 & 2597.2708645617 & -376.904373669147 \tabularnewline
73 & 2451 & 2557.19403924675 & -256.640737011807 & 2601.44669776506 & 106.194039246751 \tabularnewline
74 & 2596 & 2776.78223743487 & -188.694790834432 & 2603.91255339956 & 180.782237434871 \tabularnewline
75 & 2467 & 2367.37071237994 & -39.74912141401 & 2606.37840903407 & -99.6292876200555 \tabularnewline
76 & 2210 & 2290.91138525249 & -478.650700009998 & 2607.7393147575 & 80.9113852524943 \tabularnewline
77 & 2948 & 3155.81572379886 & 131.084055720202 & 2609.10022048094 & 207.815723798856 \tabularnewline
78 & 2507 & 2288.32856209714 & 116.836100201164 & 2608.83533770169 & -218.671437902857 \tabularnewline
79 & 3019 & 3306.93223043049 & 122.497314647067 & 2608.57045492244 & 287.932230430489 \tabularnewline
80 & 2401 & 2051.18769960122 & 148.025984321152 & 2602.78631607763 & -349.812300398778 \tabularnewline
81 & 2818 & 2977.352025895 & 61.6457968721914 & 2597.00217723281 & 159.352025895003 \tabularnewline
82 & 3305 & 3411.3674530876 & 605.855820293014 & 2592.77672661939 & 106.367453087597 \tabularnewline
83 & 2101 & 1848.29201253249 & -234.843288538462 & 2588.55127600597 & -252.707987467511 \tabularnewline
84 & 2582 & 2562.02277787927 & 12.6335091074506 & 2589.34371301328 & -19.977222120735 \tabularnewline
85 & 2407 & 2480.50458699121 & -256.640737011807 & 2590.1361500206 & 73.5045869912115 \tabularnewline
86 & 2416 & 2426.79989423348 & -188.694790834432 & 2593.89489660095 & 10.7998942334848 \tabularnewline
87 & 2463 & 2368.09547823271 & -39.74912141401 & 2597.6536431813 & -94.9045217672888 \tabularnewline
88 & 2228 & 2334.69802752918 & -478.650700009998 & 2599.95267248081 & 106.698027529185 \tabularnewline
89 & 2616 & 2498.66424249947 & 131.084055720202 & 2602.25170178033 & -117.33575750053 \tabularnewline
90 & 2934 & 3145.51866723217 & 116.836100201164 & 2605.64523256666 & 211.518667232175 \tabularnewline
91 & 2668 & 2604.46392199994 & 122.497314647067 & 2609.038763353 & -63.5360780000619 \tabularnewline
92 & 2808 & 2855.92100872758 & 148.025984321152 & 2612.05300695127 & 47.9210087275806 \tabularnewline
93 & 2664 & 2651.28695257827 & 61.6457968721914 & 2615.06725054954 & -12.7130474217302 \tabularnewline
94 & 3112 & 3004.21261494092 & 605.855820293014 & 2613.93156476607 & -107.787385059083 \tabularnewline
95 & 2321 & 2264.04740955586 & -234.843288538462 & 2612.7958789826 & -56.9525904441375 \tabularnewline
96 & 2718 & 2820.53722427771 & 12.6335091074506 & 2602.82926661483 & 102.537224277714 \tabularnewline
97 & 2297 & 2257.77808276474 & -256.640737011807 & 2592.86265424707 & -39.2219172352629 \tabularnewline
98 & 2534 & 2672.58686651066 & -188.694790834432 & 2584.10792432377 & 138.58686651066 \tabularnewline
99 & 2647 & 2758.39592701354 & -39.74912141401 & 2575.35319440047 & 111.395927013537 \tabularnewline
100 & 2064 & 2037.29022522679 & -478.650700009998 & 2569.3604747832 & -26.7097747732059 \tabularnewline
101 & 2642 & 2589.54818911386 & 131.084055720202 & 2563.36775516593 & -52.4518108861371 \tabularnewline
102 & 2702 & 2734.43681539398 & 116.836100201164 & 2552.72708440486 & 32.436815393979 \tabularnewline
103 & 2348 & 2031.41627170915 & 122.497314647067 & 2542.08641364378 & -316.583728290846 \tabularnewline
104 & 2734 & 2787.85381846588 & 148.025984321152 & 2532.12019721297 & 53.8538184658769 \tabularnewline
105 & 2709 & 2834.20022234565 & 61.6457968721914 & 2522.15398078216 & 125.200222345647 \tabularnewline
106 & 3206 & 3289.1635590775 & 605.855820293014 & 2516.98062062949 & 83.1635590775004 \tabularnewline
107 & 2214 & 2151.03602806165 & -234.843288538462 & 2511.80726047681 & -62.9639719383481 \tabularnewline
108 & 2531 & 2540.66253673997 & 12.6335091074506 & 2508.70395415258 & 9.66253673997016 \tabularnewline
109 & 2119 & 1989.04008918346 & -256.640737011807 & 2505.60064782835 & -129.959910816541 \tabularnewline
110 & 2369 & 2425.83524035742 & -188.694790834432 & 2500.85955047701 & 56.8352403574231 \tabularnewline
111 & 2682 & 2907.63066828834 & -39.74912141401 & 2496.11845312567 & 225.63066828834 \tabularnewline
112 & 1840 & 1673.44560837632 & -478.650700009998 & 2485.20509163367 & -166.554391623677 \tabularnewline
113 & 2622 & 2638.62421413812 & 131.084055720202 & 2474.29173014168 & 16.6242141381181 \tabularnewline
114 & 2570 & 2563.38700591122 & 116.836100201164 & 2459.77689388762 & -6.61299408877994 \tabularnewline
115 & 2447 & 2326.24062771938 & 122.497314647067 & 2445.26205763355 & -120.759372280619 \tabularnewline
116 & 2871 & 3164.14703847375 & 148.025984321152 & 2429.8269772051 & 293.147038473749 \tabularnewline
117 & 2485 & 2493.96230635116 & 61.6457968721914 & 2414.39189677664 & 8.96230635116399 \tabularnewline
118 & 2957 & 2907.55926366634 & 605.855820293014 & 2400.58491604065 & -49.4407363336632 \tabularnewline
119 & 2102 & 2052.06535323381 & -234.843288538462 & 2386.77793530465 & -49.9346467661921 \tabularnewline
120 & 2250 & 2117.89046095018 & 12.6335091074506 & 2369.47602994237 & -132.109539049821 \tabularnewline
121 & 2051 & 2006.46661243172 & -256.640737011807 & 2352.17412458009 & -44.53338756828 \tabularnewline
122 & 2260 & 2375.65711328673 & -188.694790834432 & 2333.0376775477 & 115.657113286733 \tabularnewline
123 & 2327 & 2379.8478908987 & -39.74912141401 & 2313.90123051531 & 52.8478908986986 \tabularnewline
124 & 1781 & 1744.96464920673 & -478.650700009998 & 2295.68605080327 & -36.0353507932682 \tabularnewline
125 & 2631 & 2853.44507318858 & 131.084055720202 & 2277.47087109122 & 222.445073188576 \tabularnewline
126 & 2180 & 1988.9530204934 & 116.836100201164 & 2254.21087930544 & -191.0469795066 \tabularnewline
127 & 2150 & 1946.55179783328 & 122.497314647067 & 2230.95088751965 & -203.448202166717 \tabularnewline
128 & 2837 & 3319.41511535328 & 148.025984321152 & 2206.55890032557 & 482.41511535328 \tabularnewline
129 & 1976 & 1708.18728999632 & 61.6457968721914 & 2182.16691313149 & -267.812710003677 \tabularnewline
130 & 2836 & 2908.91464965551 & 605.855820293014 & 2157.22953005148 & 72.9146496555059 \tabularnewline
131 & 2203 & 2508.55114156699 & -234.843288538462 & 2132.29214697148 & 305.551141566986 \tabularnewline
132 & 1770 & 1420.63251870846 & 12.6335091074506 & 2106.73397218408 & -349.367481291536 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265409&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]2132[/C][C]2230.48948487179[/C][C]-256.640737011807[/C][C]2290.15125214002[/C][C]98.48948487179[/C][/ROW]
[ROW][C]2[/C][C]1964[/C][C]1806.00021185301[/C][C]-188.694790834432[/C][C]2310.69457898142[/C][C]-157.999788146985[/C][/ROW]
[ROW][C]3[/C][C]2209[/C][C]2126.51121559119[/C][C]-39.74912141401[/C][C]2331.23790582282[/C][C]-82.488784408808[/C][/ROW]
[ROW][C]4[/C][C]1965[/C][C]2056.50137358364[/C][C]-478.650700009998[/C][C]2352.14932642635[/C][C]91.5013735836442[/C][/ROW]
[ROW][C]5[/C][C]2631[/C][C]2757.85519724991[/C][C]131.084055720202[/C][C]2373.06074702989[/C][C]126.855197249908[/C][/ROW]
[ROW][C]6[/C][C]2583[/C][C]2653.98202550721[/C][C]116.836100201164[/C][C]2395.18187429163[/C][C]70.9820255072086[/C][/ROW]
[ROW][C]7[/C][C]2714[/C][C]2888.19968379957[/C][C]122.497314647067[/C][C]2417.30300155336[/C][C]174.199683799568[/C][/ROW]
[ROW][C]8[/C][C]2248[/C][C]1907.74630922424[/C][C]148.025984321152[/C][C]2440.22770645461[/C][C]-340.253690775763[/C][/ROW]
[ROW][C]9[/C][C]2364[/C][C]2203.20179177195[/C][C]61.6457968721914[/C][C]2463.15241135586[/C][C]-160.798208228047[/C][/ROW]
[ROW][C]10[/C][C]3042[/C][C]2995.84410829173[/C][C]605.855820293014[/C][C]2482.30007141526[/C][C]-46.155891708273[/C][/ROW]
[ROW][C]11[/C][C]2316[/C][C]2365.3955570638[/C][C]-234.843288538462[/C][C]2501.44773147466[/C][C]49.3955570637991[/C][/ROW]
[ROW][C]12[/C][C]2735[/C][C]2934.77330833262[/C][C]12.6335091074506[/C][C]2522.59318255993[/C][C]199.773308332624[/C][/ROW]
[ROW][C]13[/C][C]2493[/C][C]2698.90210336662[/C][C]-256.640737011807[/C][C]2543.73863364519[/C][C]205.90210336662[/C][/ROW]
[ROW][C]14[/C][C]2136[/C][C]1887.93328003835[/C][C]-188.694790834432[/C][C]2572.76151079608[/C][C]-248.066719961648[/C][/ROW]
[ROW][C]15[/C][C]2467[/C][C]2371.96473346704[/C][C]-39.74912141401[/C][C]2601.78438794697[/C][C]-95.0352665329633[/C][/ROW]
[ROW][C]16[/C][C]2414[/C][C]2674.98526786611[/C][C]-478.650700009998[/C][C]2631.66543214389[/C][C]260.985267866111[/C][/ROW]
[ROW][C]17[/C][C]2556[/C][C]2319.369467939[/C][C]131.084055720202[/C][C]2661.5464763408[/C][C]-236.630532061003[/C][/ROW]
[ROW][C]18[/C][C]2768[/C][C]2730.40383117675[/C][C]116.836100201164[/C][C]2688.76006862208[/C][C]-37.5961688232478[/C][/ROW]
[ROW][C]19[/C][C]2998[/C][C]3157.52902444957[/C][C]122.497314647067[/C][C]2715.97366090337[/C][C]159.529024449566[/C][/ROW]
[ROW][C]20[/C][C]2573[/C][C]2257.23019811795[/C][C]148.025984321152[/C][C]2740.7438175609[/C][C]-315.769801882051[/C][/ROW]
[ROW][C]21[/C][C]3005[/C][C]3182.84022890938[/C][C]61.6457968721914[/C][C]2765.51397421843[/C][C]177.840228909379[/C][/ROW]
[ROW][C]22[/C][C]3469[/C][C]3543.76422257698[/C][C]605.855820293014[/C][C]2788.37995713[/C][C]74.7642225769823[/C][/ROW]
[ROW][C]23[/C][C]2540[/C][C]2503.59734849688[/C][C]-234.843288538462[/C][C]2811.24594004158[/C][C]-36.4026515031173[/C][/ROW]
[ROW][C]24[/C][C]3187[/C][C]3525.33132845993[/C][C]12.6335091074506[/C][C]2836.03516243262[/C][C]338.331328459931[/C][/ROW]
[ROW][C]25[/C][C]2689[/C][C]2773.81635218815[/C][C]-256.640737011807[/C][C]2860.82438482366[/C][C]84.8163521881506[/C][/ROW]
[ROW][C]26[/C][C]2154[/C][C]1616.72806571194[/C][C]-188.694790834432[/C][C]2879.96672512249[/C][C]-537.27193428806[/C][/ROW]
[ROW][C]27[/C][C]3065[/C][C]3270.64005599268[/C][C]-39.74912141401[/C][C]2899.10906542133[/C][C]205.640055992683[/C][/ROW]
[ROW][C]28[/C][C]2397[/C][C]2361.63846690408[/C][C]-478.650700009998[/C][C]2911.01223310591[/C][C]-35.3615330959155[/C][/ROW]
[ROW][C]29[/C][C]2787[/C][C]2520.0005434893[/C][C]131.084055720202[/C][C]2922.9154007905[/C][C]-266.999456510703[/C][/ROW]
[ROW][C]30[/C][C]3579[/C][C]4110.5949607629[/C][C]116.836100201164[/C][C]2930.56893903593[/C][C]531.594960762904[/C][/ROW]
[ROW][C]31[/C][C]2915[/C][C]2769.28020807157[/C][C]122.497314647067[/C][C]2938.22247728136[/C][C]-145.71979192843[/C][/ROW]
[ROW][C]32[/C][C]3025[/C][C]2969.0521762948[/C][C]148.025984321152[/C][C]2932.92183938405[/C][C]-55.9478237051999[/C][/ROW]
[ROW][C]33[/C][C]3245[/C][C]3500.73300164108[/C][C]61.6457968721914[/C][C]2927.62120148673[/C][C]255.733001641078[/C][/ROW]
[ROW][C]34[/C][C]3328[/C][C]3153.92776577566[/C][C]605.855820293014[/C][C]2896.21641393133[/C][C]-174.072234224339[/C][/ROW]
[ROW][C]35[/C][C]2840[/C][C]3050.03166216254[/C][C]-234.843288538462[/C][C]2864.81162637592[/C][C]210.031662162541[/C][/ROW]
[ROW][C]36[/C][C]3342[/C][C]3851.11500174511[/C][C]12.6335091074506[/C][C]2820.25148914744[/C][C]509.115001745111[/C][/ROW]
[ROW][C]37[/C][C]2261[/C][C]2002.94938509285[/C][C]-256.640737011807[/C][C]2775.69135191896[/C][C]-258.050614907148[/C][/ROW]
[ROW][C]38[/C][C]2590[/C][C]2639.81587700445[/C][C]-188.694790834432[/C][C]2728.87891382999[/C][C]49.8158770044452[/C][/ROW]
[ROW][C]39[/C][C]2624[/C][C]2605.68264567299[/C][C]-39.74912141401[/C][C]2682.06647574102[/C][C]-18.3173543270086[/C][/ROW]
[ROW][C]40[/C][C]1860[/C][C]1564.88764316428[/C][C]-478.650700009998[/C][C]2633.76305684572[/C][C]-295.11235683572[/C][/ROW]
[ROW][C]41[/C][C]2577[/C][C]2437.45630632938[/C][C]131.084055720202[/C][C]2585.45963795042[/C][C]-139.54369367062[/C][/ROW]
[ROW][C]42[/C][C]2646[/C][C]2630.61353768865[/C][C]116.836100201164[/C][C]2544.55036211019[/C][C]-15.3864623113518[/C][/ROW]
[ROW][C]43[/C][C]2639[/C][C]2651.86159908298[/C][C]122.497314647067[/C][C]2503.64108626996[/C][C]12.8615990829753[/C][/ROW]
[ROW][C]44[/C][C]2807[/C][C]2980.94683922549[/C][C]148.025984321152[/C][C]2485.02717645335[/C][C]173.946839225495[/C][/ROW]
[ROW][C]45[/C][C]2350[/C][C]2171.94093649106[/C][C]61.6457968721914[/C][C]2466.41326663675[/C][C]-178.059063508938[/C][/ROW]
[ROW][C]46[/C][C]3053[/C][C]3039.76674518332[/C][C]605.855820293014[/C][C]2460.37743452366[/C][C]-13.2332548166769[/C][/ROW]
[ROW][C]47[/C][C]2203[/C][C]2186.50168612788[/C][C]-234.843288538462[/C][C]2454.34160241058[/C][C]-16.4983138721182[/C][/ROW]
[ROW][C]48[/C][C]2471[/C][C]2478.82146816627[/C][C]12.6335091074506[/C][C]2450.54502272628[/C][C]7.82146816627028[/C][/ROW]
[ROW][C]49[/C][C]1967[/C][C]1743.89229396983[/C][C]-256.640737011807[/C][C]2446.74844304198[/C][C]-223.10770603017[/C][/ROW]
[ROW][C]50[/C][C]2473[/C][C]2689.56764953797[/C][C]-188.694790834432[/C][C]2445.12714129646[/C][C]216.567649537973[/C][/ROW]
[ROW][C]51[/C][C]2397[/C][C]2390.24328186307[/C][C]-39.74912141401[/C][C]2443.50583955094[/C][C]-6.75671813693043[/C][/ROW]
[ROW][C]52[/C][C]1904[/C][C]1840.81191514678[/C][C]-478.650700009998[/C][C]2445.83878486322[/C][C]-63.1880848532219[/C][/ROW]
[ROW][C]53[/C][C]2732[/C][C]2884.7442141043[/C][C]131.084055720202[/C][C]2448.1717301755[/C][C]152.744214104297[/C][/ROW]
[ROW][C]54[/C][C]2297[/C][C]2025.61551696278[/C][C]116.836100201164[/C][C]2451.54838283606[/C][C]-271.384483037221[/C][/ROW]
[ROW][C]55[/C][C]2734[/C][C]2890.57764985632[/C][C]122.497314647067[/C][C]2454.92503549661[/C][C]156.577649856319[/C][/ROW]
[ROW][C]56[/C][C]2719[/C][C]2827.8320717246[/C][C]148.025984321152[/C][C]2462.14194395425[/C][C]108.832071724598[/C][/ROW]
[ROW][C]57[/C][C]2296[/C][C]2060.99535071592[/C][C]61.6457968721914[/C][C]2469.35885241188[/C][C]-235.004649284077[/C][/ROW]
[ROW][C]58[/C][C]3243[/C][C]3399.31430550926[/C][C]605.855820293014[/C][C]2480.82987419772[/C][C]156.314305509264[/C][/ROW]
[ROW][C]59[/C][C]2166[/C][C]2074.5423925549[/C][C]-234.843288538462[/C][C]2492.30089598356[/C][C]-91.457607445097[/C][/ROW]
[ROW][C]60[/C][C]2261[/C][C]2004.02474818124[/C][C]12.6335091074506[/C][C]2505.34174271131[/C][C]-256.975251818763[/C][/ROW]
[ROW][C]61[/C][C]2408[/C][C]2554.25814757274[/C][C]-256.640737011807[/C][C]2518.38258943907[/C][C]146.258147572742[/C][/ROW]
[ROW][C]62[/C][C]2536[/C][C]2728.87257992838[/C][C]-188.694790834432[/C][C]2531.82221090605[/C][C]192.87257992838[/C][/ROW]
[ROW][C]63[/C][C]2324[/C][C]2142.48728904097[/C][C]-39.74912141401[/C][C]2545.26183237304[/C][C]-181.512710959029[/C][/ROW]
[ROW][C]64[/C][C]2178[/C][C]2278.152909604[/C][C]-478.650700009998[/C][C]2556.497790406[/C][C]100.152909604[/C][/ROW]
[ROW][C]65[/C][C]2803[/C][C]2907.18219584084[/C][C]131.084055720202[/C][C]2567.73374843896[/C][C]104.182195840842[/C][/ROW]
[ROW][C]66[/C][C]2604[/C][C]2518.82258579447[/C][C]116.836100201164[/C][C]2572.34131400437[/C][C]-85.1774142055338[/C][/ROW]
[ROW][C]67[/C][C]2782[/C][C]2864.55380578315[/C][C]122.497314647067[/C][C]2576.94887956978[/C][C]82.5538057831495[/C][/ROW]
[ROW][C]68[/C][C]2656[/C][C]2584.77564007091[/C][C]148.025984321152[/C][C]2579.19837560794[/C][C]-71.2243599290896[/C][/ROW]
[ROW][C]69[/C][C]2801[/C][C]2958.90633148172[/C][C]61.6457968721914[/C][C]2581.44787164609[/C][C]157.906331481719[/C][/ROW]
[ROW][C]70[/C][C]3122[/C][C]3050.87272820477[/C][C]605.855820293014[/C][C]2587.27145150221[/C][C]-71.1272717952265[/C][/ROW]
[ROW][C]71[/C][C]2393[/C][C]2427.74825718013[/C][C]-234.843288538462[/C][C]2593.09503135834[/C][C]34.7482571801261[/C][/ROW]
[ROW][C]72[/C][C]2233[/C][C]1856.09562633085[/C][C]12.6335091074506[/C][C]2597.2708645617[/C][C]-376.904373669147[/C][/ROW]
[ROW][C]73[/C][C]2451[/C][C]2557.19403924675[/C][C]-256.640737011807[/C][C]2601.44669776506[/C][C]106.194039246751[/C][/ROW]
[ROW][C]74[/C][C]2596[/C][C]2776.78223743487[/C][C]-188.694790834432[/C][C]2603.91255339956[/C][C]180.782237434871[/C][/ROW]
[ROW][C]75[/C][C]2467[/C][C]2367.37071237994[/C][C]-39.74912141401[/C][C]2606.37840903407[/C][C]-99.6292876200555[/C][/ROW]
[ROW][C]76[/C][C]2210[/C][C]2290.91138525249[/C][C]-478.650700009998[/C][C]2607.7393147575[/C][C]80.9113852524943[/C][/ROW]
[ROW][C]77[/C][C]2948[/C][C]3155.81572379886[/C][C]131.084055720202[/C][C]2609.10022048094[/C][C]207.815723798856[/C][/ROW]
[ROW][C]78[/C][C]2507[/C][C]2288.32856209714[/C][C]116.836100201164[/C][C]2608.83533770169[/C][C]-218.671437902857[/C][/ROW]
[ROW][C]79[/C][C]3019[/C][C]3306.93223043049[/C][C]122.497314647067[/C][C]2608.57045492244[/C][C]287.932230430489[/C][/ROW]
[ROW][C]80[/C][C]2401[/C][C]2051.18769960122[/C][C]148.025984321152[/C][C]2602.78631607763[/C][C]-349.812300398778[/C][/ROW]
[ROW][C]81[/C][C]2818[/C][C]2977.352025895[/C][C]61.6457968721914[/C][C]2597.00217723281[/C][C]159.352025895003[/C][/ROW]
[ROW][C]82[/C][C]3305[/C][C]3411.3674530876[/C][C]605.855820293014[/C][C]2592.77672661939[/C][C]106.367453087597[/C][/ROW]
[ROW][C]83[/C][C]2101[/C][C]1848.29201253249[/C][C]-234.843288538462[/C][C]2588.55127600597[/C][C]-252.707987467511[/C][/ROW]
[ROW][C]84[/C][C]2582[/C][C]2562.02277787927[/C][C]12.6335091074506[/C][C]2589.34371301328[/C][C]-19.977222120735[/C][/ROW]
[ROW][C]85[/C][C]2407[/C][C]2480.50458699121[/C][C]-256.640737011807[/C][C]2590.1361500206[/C][C]73.5045869912115[/C][/ROW]
[ROW][C]86[/C][C]2416[/C][C]2426.79989423348[/C][C]-188.694790834432[/C][C]2593.89489660095[/C][C]10.7998942334848[/C][/ROW]
[ROW][C]87[/C][C]2463[/C][C]2368.09547823271[/C][C]-39.74912141401[/C][C]2597.6536431813[/C][C]-94.9045217672888[/C][/ROW]
[ROW][C]88[/C][C]2228[/C][C]2334.69802752918[/C][C]-478.650700009998[/C][C]2599.95267248081[/C][C]106.698027529185[/C][/ROW]
[ROW][C]89[/C][C]2616[/C][C]2498.66424249947[/C][C]131.084055720202[/C][C]2602.25170178033[/C][C]-117.33575750053[/C][/ROW]
[ROW][C]90[/C][C]2934[/C][C]3145.51866723217[/C][C]116.836100201164[/C][C]2605.64523256666[/C][C]211.518667232175[/C][/ROW]
[ROW][C]91[/C][C]2668[/C][C]2604.46392199994[/C][C]122.497314647067[/C][C]2609.038763353[/C][C]-63.5360780000619[/C][/ROW]
[ROW][C]92[/C][C]2808[/C][C]2855.92100872758[/C][C]148.025984321152[/C][C]2612.05300695127[/C][C]47.9210087275806[/C][/ROW]
[ROW][C]93[/C][C]2664[/C][C]2651.28695257827[/C][C]61.6457968721914[/C][C]2615.06725054954[/C][C]-12.7130474217302[/C][/ROW]
[ROW][C]94[/C][C]3112[/C][C]3004.21261494092[/C][C]605.855820293014[/C][C]2613.93156476607[/C][C]-107.787385059083[/C][/ROW]
[ROW][C]95[/C][C]2321[/C][C]2264.04740955586[/C][C]-234.843288538462[/C][C]2612.7958789826[/C][C]-56.9525904441375[/C][/ROW]
[ROW][C]96[/C][C]2718[/C][C]2820.53722427771[/C][C]12.6335091074506[/C][C]2602.82926661483[/C][C]102.537224277714[/C][/ROW]
[ROW][C]97[/C][C]2297[/C][C]2257.77808276474[/C][C]-256.640737011807[/C][C]2592.86265424707[/C][C]-39.2219172352629[/C][/ROW]
[ROW][C]98[/C][C]2534[/C][C]2672.58686651066[/C][C]-188.694790834432[/C][C]2584.10792432377[/C][C]138.58686651066[/C][/ROW]
[ROW][C]99[/C][C]2647[/C][C]2758.39592701354[/C][C]-39.74912141401[/C][C]2575.35319440047[/C][C]111.395927013537[/C][/ROW]
[ROW][C]100[/C][C]2064[/C][C]2037.29022522679[/C][C]-478.650700009998[/C][C]2569.3604747832[/C][C]-26.7097747732059[/C][/ROW]
[ROW][C]101[/C][C]2642[/C][C]2589.54818911386[/C][C]131.084055720202[/C][C]2563.36775516593[/C][C]-52.4518108861371[/C][/ROW]
[ROW][C]102[/C][C]2702[/C][C]2734.43681539398[/C][C]116.836100201164[/C][C]2552.72708440486[/C][C]32.436815393979[/C][/ROW]
[ROW][C]103[/C][C]2348[/C][C]2031.41627170915[/C][C]122.497314647067[/C][C]2542.08641364378[/C][C]-316.583728290846[/C][/ROW]
[ROW][C]104[/C][C]2734[/C][C]2787.85381846588[/C][C]148.025984321152[/C][C]2532.12019721297[/C][C]53.8538184658769[/C][/ROW]
[ROW][C]105[/C][C]2709[/C][C]2834.20022234565[/C][C]61.6457968721914[/C][C]2522.15398078216[/C][C]125.200222345647[/C][/ROW]
[ROW][C]106[/C][C]3206[/C][C]3289.1635590775[/C][C]605.855820293014[/C][C]2516.98062062949[/C][C]83.1635590775004[/C][/ROW]
[ROW][C]107[/C][C]2214[/C][C]2151.03602806165[/C][C]-234.843288538462[/C][C]2511.80726047681[/C][C]-62.9639719383481[/C][/ROW]
[ROW][C]108[/C][C]2531[/C][C]2540.66253673997[/C][C]12.6335091074506[/C][C]2508.70395415258[/C][C]9.66253673997016[/C][/ROW]
[ROW][C]109[/C][C]2119[/C][C]1989.04008918346[/C][C]-256.640737011807[/C][C]2505.60064782835[/C][C]-129.959910816541[/C][/ROW]
[ROW][C]110[/C][C]2369[/C][C]2425.83524035742[/C][C]-188.694790834432[/C][C]2500.85955047701[/C][C]56.8352403574231[/C][/ROW]
[ROW][C]111[/C][C]2682[/C][C]2907.63066828834[/C][C]-39.74912141401[/C][C]2496.11845312567[/C][C]225.63066828834[/C][/ROW]
[ROW][C]112[/C][C]1840[/C][C]1673.44560837632[/C][C]-478.650700009998[/C][C]2485.20509163367[/C][C]-166.554391623677[/C][/ROW]
[ROW][C]113[/C][C]2622[/C][C]2638.62421413812[/C][C]131.084055720202[/C][C]2474.29173014168[/C][C]16.6242141381181[/C][/ROW]
[ROW][C]114[/C][C]2570[/C][C]2563.38700591122[/C][C]116.836100201164[/C][C]2459.77689388762[/C][C]-6.61299408877994[/C][/ROW]
[ROW][C]115[/C][C]2447[/C][C]2326.24062771938[/C][C]122.497314647067[/C][C]2445.26205763355[/C][C]-120.759372280619[/C][/ROW]
[ROW][C]116[/C][C]2871[/C][C]3164.14703847375[/C][C]148.025984321152[/C][C]2429.8269772051[/C][C]293.147038473749[/C][/ROW]
[ROW][C]117[/C][C]2485[/C][C]2493.96230635116[/C][C]61.6457968721914[/C][C]2414.39189677664[/C][C]8.96230635116399[/C][/ROW]
[ROW][C]118[/C][C]2957[/C][C]2907.55926366634[/C][C]605.855820293014[/C][C]2400.58491604065[/C][C]-49.4407363336632[/C][/ROW]
[ROW][C]119[/C][C]2102[/C][C]2052.06535323381[/C][C]-234.843288538462[/C][C]2386.77793530465[/C][C]-49.9346467661921[/C][/ROW]
[ROW][C]120[/C][C]2250[/C][C]2117.89046095018[/C][C]12.6335091074506[/C][C]2369.47602994237[/C][C]-132.109539049821[/C][/ROW]
[ROW][C]121[/C][C]2051[/C][C]2006.46661243172[/C][C]-256.640737011807[/C][C]2352.17412458009[/C][C]-44.53338756828[/C][/ROW]
[ROW][C]122[/C][C]2260[/C][C]2375.65711328673[/C][C]-188.694790834432[/C][C]2333.0376775477[/C][C]115.657113286733[/C][/ROW]
[ROW][C]123[/C][C]2327[/C][C]2379.8478908987[/C][C]-39.74912141401[/C][C]2313.90123051531[/C][C]52.8478908986986[/C][/ROW]
[ROW][C]124[/C][C]1781[/C][C]1744.96464920673[/C][C]-478.650700009998[/C][C]2295.68605080327[/C][C]-36.0353507932682[/C][/ROW]
[ROW][C]125[/C][C]2631[/C][C]2853.44507318858[/C][C]131.084055720202[/C][C]2277.47087109122[/C][C]222.445073188576[/C][/ROW]
[ROW][C]126[/C][C]2180[/C][C]1988.9530204934[/C][C]116.836100201164[/C][C]2254.21087930544[/C][C]-191.0469795066[/C][/ROW]
[ROW][C]127[/C][C]2150[/C][C]1946.55179783328[/C][C]122.497314647067[/C][C]2230.95088751965[/C][C]-203.448202166717[/C][/ROW]
[ROW][C]128[/C][C]2837[/C][C]3319.41511535328[/C][C]148.025984321152[/C][C]2206.55890032557[/C][C]482.41511535328[/C][/ROW]
[ROW][C]129[/C][C]1976[/C][C]1708.18728999632[/C][C]61.6457968721914[/C][C]2182.16691313149[/C][C]-267.812710003677[/C][/ROW]
[ROW][C]130[/C][C]2836[/C][C]2908.91464965551[/C][C]605.855820293014[/C][C]2157.22953005148[/C][C]72.9146496555059[/C][/ROW]
[ROW][C]131[/C][C]2203[/C][C]2508.55114156699[/C][C]-234.843288538462[/C][C]2132.29214697148[/C][C]305.551141566986[/C][/ROW]
[ROW][C]132[/C][C]1770[/C][C]1420.63251870846[/C][C]12.6335091074506[/C][C]2106.73397218408[/C][C]-349.367481291536[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265409&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265409&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
121322230.48948487179-256.6407370118072290.1512521400298.48948487179
219641806.00021185301-188.6947908344322310.69457898142-157.999788146985
322092126.51121559119-39.749121414012331.23790582282-82.488784408808
419652056.50137358364-478.6507000099982352.1493264263591.5013735836442
526312757.85519724991131.0840557202022373.06074702989126.855197249908
625832653.98202550721116.8361002011642395.1818742916370.9820255072086
727142888.19968379957122.4973146470672417.30300155336174.199683799568
822481907.74630922424148.0259843211522440.22770645461-340.253690775763
923642203.2017917719561.64579687219142463.15241135586-160.798208228047
1030422995.84410829173605.8558202930142482.30007141526-46.155891708273
1123162365.3955570638-234.8432885384622501.4477314746649.3955570637991
1227352934.7733083326212.63350910745062522.59318255993199.773308332624
1324932698.90210336662-256.6407370118072543.73863364519205.90210336662
1421361887.93328003835-188.6947908344322572.76151079608-248.066719961648
1524672371.96473346704-39.749121414012601.78438794697-95.0352665329633
1624142674.98526786611-478.6507000099982631.66543214389260.985267866111
1725562319.369467939131.0840557202022661.5464763408-236.630532061003
1827682730.40383117675116.8361002011642688.76006862208-37.5961688232478
1929983157.52902444957122.4973146470672715.97366090337159.529024449566
2025732257.23019811795148.0259843211522740.7438175609-315.769801882051
2130053182.8402289093861.64579687219142765.51397421843177.840228909379
2234693543.76422257698605.8558202930142788.3799571374.7642225769823
2325402503.59734849688-234.8432885384622811.24594004158-36.4026515031173
2431873525.3313284599312.63350910745062836.03516243262338.331328459931
2526892773.81635218815-256.6407370118072860.8243848236684.8163521881506
2621541616.72806571194-188.6947908344322879.96672512249-537.27193428806
2730653270.64005599268-39.749121414012899.10906542133205.640055992683
2823972361.63846690408-478.6507000099982911.01223310591-35.3615330959155
2927872520.0005434893131.0840557202022922.9154007905-266.999456510703
3035794110.5949607629116.8361002011642930.56893903593531.594960762904
3129152769.28020807157122.4973146470672938.22247728136-145.71979192843
3230252969.0521762948148.0259843211522932.92183938405-55.9478237051999
3332453500.7330016410861.64579687219142927.62120148673255.733001641078
3433283153.92776577566605.8558202930142896.21641393133-174.072234224339
3528403050.03166216254-234.8432885384622864.81162637592210.031662162541
3633423851.1150017451112.63350910745062820.25148914744509.115001745111
3722612002.94938509285-256.6407370118072775.69135191896-258.050614907148
3825902639.81587700445-188.6947908344322728.8789138299949.8158770044452
3926242605.68264567299-39.749121414012682.06647574102-18.3173543270086
4018601564.88764316428-478.6507000099982633.76305684572-295.11235683572
4125772437.45630632938131.0840557202022585.45963795042-139.54369367062
4226462630.61353768865116.8361002011642544.55036211019-15.3864623113518
4326392651.86159908298122.4973146470672503.6410862699612.8615990829753
4428072980.94683922549148.0259843211522485.02717645335173.946839225495
4523502171.9409364910661.64579687219142466.41326663675-178.059063508938
4630533039.76674518332605.8558202930142460.37743452366-13.2332548166769
4722032186.50168612788-234.8432885384622454.34160241058-16.4983138721182
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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):
par8 <- 'FALSE'
par7 <- '1'
par6 <- ''
par5 <- '1'
par4 <- ''
par3 <- '0'
par2 <- 'periodic'
par1 <- '12'
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')