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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 computationMon, 15 Dec 2014 02:12:41 +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/15/t1418609586t22g1gp24ymibfo.htm/, Retrieved Thu, 16 May 2024 13:50:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=267941, Retrieved Thu, 16 May 2024 13:50:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact104
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Factor Analysis] [Sleep in Mammals ...] [2010-03-21 11:39:53] [b98453cac15ba1066b407e146608df68]
- RMPD  [Testing Mean with unknown Variance - Critical Value] [Hypothesis Test a...] [2010-10-19 11:45:26] [b98453cac15ba1066b407e146608df68]
- RM D    [Testing Mean with unknown Variance - Critical Value] [] [2014-10-14 18:43:28] [32b17a345b130fdf5cc88718ed94a974]
- RMPD      [Multiple Regression] [] [2014-12-11 21:39:03] [6b382800c0d3804662889dbce999b8c7]
- R PD        [Multiple Regression] [] [2014-12-14 23:33:56] [6b382800c0d3804662889dbce999b8c7]
- RM D            [Decomposition by Loess] [] [2014-12-15 02:12:41] [6993448de96b8662e47595bfdf466bf3] [Current]
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Dataseries X:
4.35
12.7
18.1
17.85
16.6
12.6
17.1
19.1
16.1
13.35
18.4
14.7
10.6
12.6
16.2
13.6
18.9
14.1
14.5
16.15
14.75
14.8
12.45
12.65
17.35
8.6
18.4
16.1
11.6
17.75
15.25
17.65
16.35
17.65
13.6
14.35
14.75
18.25
9.9
16
18.25
16.85
14.6
13.85
18.95
15.6
14.85
11.75
18.45
15.9
17.1
16.1
19.9
10.95
18.45
15.1
15
11.35
15.95
18.1
14.6
15.4
15.4
17.6
13.35
19.1
15.35
7.6
13.4
13.9
19.1
15.25
12.9
16.1
17.35
13.15
12.15
12.6
10.35
15.4
9.6
18.2
13.6
14.85
14.75
14.1
14.9
16.25
19.25
13.6
13.6
15.65
12.75
14.6
9.85
12.65
19.2
16.6
11.2
15.25
11.9
13.2
16.35
12.4
15.85
18.15
11.15
15.65
17.75
7.65
12.35
15.6
19.3
15.2
17.1
15.6
18.4
19.05
18.55
19.1
13.1
12.85
9.5
4.5
11.85
13.6
11.7
12.4
13.35
11.4
14.9
19.9
11.2
14.6
17.6
14.05
16.1
13.35
11.85
11.95
14.75
15.15
13.2
16.85
7.85
7.7
12.6
7.85
10.95
12.35
9.95
14.9
16.65
13.4
13.95
15.7
16.85
10.95
15.35
12.2
15.1
17.75
15.2
14.6
16.65
8.1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267941&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]3 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=267941&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267941&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 time3 seconds
R Server'George Udny Yule' @ yule.wessa.net







Seasonal Decomposition by Loess - Parameters
ComponentWindowDegreeJump
Seasonal16610167
Trend1912
Low-pass1312

\begin{tabular}{lllllllll}
\hline
Seasonal Decomposition by Loess - Parameters \tabularnewline
Component & Window & Degree & Jump \tabularnewline
Seasonal & 1661 & 0 & 167 \tabularnewline
Trend & 19 & 1 & 2 \tabularnewline
Low-pass & 13 & 1 & 2 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267941&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]1661[/C][C]0[/C][C]167[/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=267941&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267941&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
Seasonal16610167
Trend1912
Low-pass1312







Seasonal Decomposition by Loess - Time Series Components
tObservedFittedSeasonalTrendRemainder
14.35-4.10273242790735-0.67130934097774513.4740417688851-8.45273242790735
212.712.9932427920534-1.3629895768929513.76974678483950.293242792053423
318.121.92850579671280.20604240249320114.0654518007943.82850579671284
417.8521.869331114097-0.49036445281102214.3210333387144.01933111409703
516.617.74230211497070.8810830083952514.5766148766341.14230211497073
612.610.38917698092040.00012958549103899314.8106934335885-2.21082301907956
717.119.2824799119586-0.12725190250161115.0447719905432.18247991195859
819.123.0448103329629-0.069701085849316115.22489075288643.94481033296288
916.116.14999580138180.64499468338835315.40500951522990.0499958013817956
1013.3511.28748085036680.094938416330990415.3175807333023-2.06251914963324
1118.421.5856614363994-0.015813387774056315.23015195137473.1856614363994
1214.713.33185960823380.91024170490903515.1578986868572-1.36814039176623
1310.66.785663918638-0.67130934097774515.0856454223397-3.814336081362
1412.611.5725373113535-1.3629895768929514.9904522655395-1.0274626886465
1516.217.29869848876760.20604240249320114.89525910873921.09869848876763
1613.612.8737593242074-0.49036445281102214.8166051286036-0.726240675792576
1718.922.18096584313670.8810830083952514.7379511484683.28096584313672
1814.113.50795846608410.00012958549103899314.6919119484249-0.592041533915925
1914.514.4813791541199-0.12725190250161114.6458727483817-0.0186208458801378
2016.1517.737277583511-0.069701085849316114.63242350233831.58727758351104
2114.7514.23603106031690.64499468338835314.6189742562948-0.513968939683149
2214.814.93670984386070.094938416330990414.56835173980830.136709843860707
2312.4510.3980841644522-0.015813387774056314.5177292233218-2.05191583554775
2412.659.858846643604750.91024170490903514.5309116514862-2.79115335639525
2517.3520.8272152613271-0.67130934097774514.54409407965063.47721526132712
268.63.87367845458384-1.3629895768929514.6893111223091-4.72632154541616
2718.421.75942943253920.20604240249320114.83452816496763.35942943253921
2816.117.6674285571075-0.49036445281102215.02293589570351.56742855710754
2911.67.107573365165370.8810830083952515.2113436264394-4.49242663483463
3017.7520.15984176124860.00012958549103899315.34002865326042.40984176124857
3115.2515.1585382224202-0.12725190250161115.4687136800814-0.0914617775798021
3217.6519.8701326002275-0.069701085849316115.49956848562192.22013260022745
3316.3516.52458202544930.64499468338835315.53042329116230.174582025449338
3417.6519.65968584612750.094938416330990415.54537573754152.00968584612749
3513.611.6554852038533-0.015813387774056315.5603281839207-1.94451479614666
3614.3512.23151278398840.91024170490903515.5582455111025-2.11848721601158
3714.7514.6151465026934-0.67130934097774515.5561628382844-0.134853497306615
3818.2522.335562183337-1.3629895768929515.52742739355594.08556218333703
399.94.095265648679310.20604240249320115.4986919488275-5.80473435132069
401616.9990025283285-0.49036445281102215.49136192448250.999002528328511
4118.2520.13488509146720.8810830083952515.48403190013751.88488509146721
4216.8518.18932437256630.00012958549103899315.51054604194271.33932437256628
4314.613.7901917187538-0.12725190250161115.5370601837478-0.809808281246207
4413.8512.1561977881464-0.069701085849316115.6135032977029-1.69380221185357
4518.9521.56505890495370.64499468338835315.68994641165792.6150589049537
4615.615.30621992234810.094938416330990415.7988416613209-0.293780077651926
4714.8513.8080764767901-0.015813387774056315.9077369109839-1.04192352320987
4811.756.658510178733580.91024170490903515.9312481163574-5.09148982126642
4918.4521.6165500192469-0.67130934097774515.95475932173083.16655001924691
5015.917.2294623852363-1.3629895768929515.93352719165671.3294623852363
5117.118.08166253592430.20604240249320115.91229506158250.981662535924331
5216.116.8520022292035-0.49036445281102215.83836222360750.752002229203475
5319.923.15448760597210.8810830083952515.76442938563263.25448760597212
5410.956.184830895268160.00012958549103899315.7150395192408-4.76516910473184
5518.4521.3616022496526-0.12725190250161115.6656496528492.91160224965263
5615.114.6845225971408-0.069701085849316115.5851784887086-0.415477402859237
571513.85029799204350.64499468338835315.5047073245681-1.14970200795648
5811.357.135528170240410.094938416330990415.4695334134286-4.21447182975959
5915.9516.481453885485-0.015813387774056315.43435950228910.531453885484984
6018.119.85495318482520.91024170490903515.43480511026581.7549531848252
6114.614.4360586227353-0.67130934097774515.4352507182425-0.163941377264717
6215.416.8350697006009-1.3629895768929515.32791987629211.43506970060088
6315.415.37336856316510.20604240249320115.2205890343417-0.0266314368349008
6417.620.5590698522491-0.49036445281102215.13129460056192.95906985224913
6513.3510.77691682482270.8810830083952515.0420001667821-2.57308317517733
6619.123.24607798696610.00012958549103899314.95379242754284.14607798696612
6715.3515.961667214198-0.12725190250161114.86558468830360.611667214198
687.60.446568126052539-0.069701085849316114.8231329597968-7.15343187394746
6913.411.37432408532170.64499468338835314.7806812312899-2.0256759146783
7013.913.02009053472780.094938416330990414.6849710489412-0.879909465272176
7119.123.6265525211816-0.015813387774056314.58926086659244.52655252118163
7215.2515.12574576421430.91024170490903514.4640125308767-0.124254235785733
7312.912.1325451458168-0.67130934097774514.338764195161-0.767454854183223
7416.119.3133519530125-1.3629895768929514.24963762388043.21335195301252
7517.3520.33344654490690.20604240249320114.16051105259992.98344654490691
7613.1512.7320334520518-0.49036445281102214.0583310007592-0.417966547948158
7712.159.462766042686280.8810830083952513.9561509489185-2.68723395731372
7812.611.35789372927480.00012958549103899313.8419766852341-1.24210627072515
7910.357.09944948095185-0.12725190250161113.7278024215498-3.25055051904815
8015.417.1297266711132-0.069701085849316113.73997441473611.72972667111325
819.64.802858908689270.64499468338835313.7521464079224-4.79714109131073
8218.222.33749488408730.094938416330990413.96756669958174.13749488408734
8313.613.0328263965331-0.015813387774056314.182986991241-0.567173603466902
8414.8514.3176265513030.91024170490903514.4721317437879-0.532373448696966
8514.7515.4100328446428-0.67130934097774514.76127649633490.660032844642844
8614.114.6754938904623-1.3629895768929514.88749568643070.575493890462299
8714.914.58024272098040.20604240249320115.0137148765264-0.31975727901961
8816.2518.0723821741412-0.49036445281102214.91798227866981.8223821741412
8919.2522.79666731079150.8810830083952514.82224968081323.54666731079152
9013.612.48633105755060.00012958549103899314.7135393569583-1.11366894244939
9113.612.7224228693981-0.12725190250161114.6048290331035-0.877577130601862
9215.6516.8322393647615-0.069701085849316114.53746172108781.18223936476152
9312.7510.38491090753950.64499468338835314.4700944090721-2.36508909246048
9414.614.76594201352760.094938416330990414.33911957014140.165942013527589
959.855.50766865656334-0.015813387774056314.2081447312107-4.34233134343666
9612.6510.28017603660360.91024170490903514.1095822584874-2.36982396339643
9719.225.0602895552137-0.67130934097774514.01101978576415.86028955521367
9816.620.4887675407688-1.3629895768929514.07422203612423.8887675407688
9911.28.056533311022570.20604240249320114.1374242864842-3.14346668897743
10015.2516.7377137769093-0.49036445281102214.25265067590171.4877137769093
10111.98.551039926285530.8810830083952514.3678770653192-3.34896007371447
10213.212.01392942310940.00012958549103899314.3859409913996-1.18607057689062
10316.3518.4232469850217-0.12725190250161114.40400491747992.07324698502167
10412.410.5696381360902-0.069701085849316114.3000629497591-1.83036186390975
10515.8516.85888433457350.64499468338835314.19612098203821.00888433457346
10618.1521.9287397604980.094938416330990414.2763218231713.77873976049803
10711.157.95929072347028-0.015813387774056314.3565226643038-3.19070927652972
10815.6515.85815562590610.91024170490903514.53160266918480.208155625906137
10917.7521.4646266669119-0.67130934097774514.70668267406593.71462666691186
1107.651.75656332603934-1.3629895768929514.9064262508536-5.89343667396066
11112.359.387787769865460.20604240249320115.1061698276413-2.96221223013454
11215.616.3039243258053-0.49036445281102215.38644012700580.703924325805259
11319.322.05220656523460.8810830083952515.66671042637022.75220656523457
11415.214.44834555867630.00012958549103899315.9515248558326-0.751654441323666
11517.118.0909126172065-0.12725190250161116.23633928529510.990912617206543
11615.615.0537002750493-0.069701085849316116.2160008108-0.546299724950682
11718.419.95934298030670.64499468338835316.19566233630491.55934298030672
11819.0522.24329218792770.094938416330990415.76176939574143.19329218792766
11918.5521.7879369325963-0.015813387774056315.32787645517783.23793693259628
12019.122.52633909785760.91024170490903514.76341919723333.42633909785762
12113.112.6723474016888-0.67130934097774514.1989619392889-0.427652598311164
12212.8513.3791426823312-1.3629895768929513.68384689456180.529142682331194
1239.55.625225747672190.20604240249320113.1687318498346-3.87477425232781
1244.5-3.27256292488152-0.49036445281102212.7629273776925-7.77256292488152
12511.8510.46179408605430.8810830083952512.3571229055505-1.38820591394572
12613.614.90217905405650.00012958549103899312.29769136045241.30217905405654
12711.711.2889920871472-0.12725190250161112.2382598153544-0.411007912852767
12812.412.2721501621258-0.069701085849316112.5975509237235-0.127849837874209
12913.3513.0981632845190.64499468338835312.9568420320927-0.251836715481025
13011.49.272769054913680.094938416330990413.4322925287553-2.12723094508632
13114.915.9080703623561-0.015813387774056313.9077430254181.00807036235606
13219.924.75102846308320.91024170490903514.13872983200774.85102846308325
13311.28.70159270238031-0.67130934097774514.3697166385974-2.49840729761969
13414.616.1467581947299-1.3629895768929514.41623138216311.54675819472986
13517.620.53121147177810.20604240249320114.46274612572882.93121147177805
13614.0514.1632252744491-0.49036445281102214.4271391783620.113225274449064
13716.116.92738476060960.8810830083952514.39153223099520.827384760609588
13813.3512.52318922176230.00012958549103899314.1766811927467-0.826810778237709
13911.859.86542174800343-0.12725190250161113.9618301544982-1.98457825199656
14011.9510.3824579005578-0.069701085849316113.5872431852915-1.56754209944223
14114.7515.64234910052670.64499468338835313.21265621608490.892349100526742
14215.1517.39780017186630.094938416330990412.80726141180272.24780017186634
14313.214.0139467802536-0.015813387774056312.40186660752040.813946780253611
14416.8520.63522672935870.91024170490903512.15453156573233.78522672935866
1457.854.46411281703358-0.67130934097774511.9071965239442-3.38588718296642
1467.74.92037029486073-1.3629895768929511.8426192820322-2.77962970513927
14712.613.21591555738650.20604240249320111.77804204012030.615915557386502
1487.854.35496871637753-0.49036445281102211.8353957364335-3.49503128362247
14910.959.126167558858070.8810830083952511.8927494327467-1.82383244114193
15012.3512.53973113503940.00012958549103899312.16013927946950.189731135039434
1519.957.59972277630924-0.12725190250161112.4275291261924-2.35027722369076
15214.917.0416516008608-0.069701085849316112.82804948498852.1416516008608
15316.6519.4264354728270.64499468338835313.22856984378462.77643547282699
15413.413.12011246440940.094938416330990413.5849491192596-0.279887535590634
15513.9513.9744849930394-0.015813387774056313.94132839473460.0244849930394153
15615.716.270266218490.91024170490903514.2194920766010.570266218489989
15716.8519.8736535825104-0.67130934097774514.49765575846733.02365358251044
15810.958.75549912798406-1.3629895768929514.5074904489089-2.19450087201594
15915.3515.97663245815630.20604240249320114.51732513935050.626632458156319
16012.210.4895607036849-0.49036445281102214.4008037491261-1.71043929631507
16115.115.0346346327030.8810830083952514.2842823589017-0.0653653672969554
16217.7521.34748537278820.00012958549103899314.15238504172083.59748537278818
16315.216.5067641779617-0.12725190250161114.02048772453991.30676417796174
16414.615.3877625846855-0.069701085849316113.88193850116390.78776258468546
16516.6518.91161603882380.64499468338835313.74338927778782.2616160388238
1668.12.516465812060110.094938416330990413.5885957716089-5.58353418793989

\begin{tabular}{lllllllll}
\hline
Seasonal Decomposition by Loess - Time Series Components \tabularnewline
t & Observed & Fitted & Seasonal & Trend & Remainder \tabularnewline
1 & 4.35 & -4.10273242790735 & -0.671309340977745 & 13.4740417688851 & -8.45273242790735 \tabularnewline
2 & 12.7 & 12.9932427920534 & -1.36298957689295 & 13.7697467848395 & 0.293242792053423 \tabularnewline
3 & 18.1 & 21.9285057967128 & 0.206042402493201 & 14.065451800794 & 3.82850579671284 \tabularnewline
4 & 17.85 & 21.869331114097 & -0.490364452811022 & 14.321033338714 & 4.01933111409703 \tabularnewline
5 & 16.6 & 17.7423021149707 & 0.88108300839525 & 14.576614876634 & 1.14230211497073 \tabularnewline
6 & 12.6 & 10.3891769809204 & 0.000129585491038993 & 14.8106934335885 & -2.21082301907956 \tabularnewline
7 & 17.1 & 19.2824799119586 & -0.127251902501611 & 15.044771990543 & 2.18247991195859 \tabularnewline
8 & 19.1 & 23.0448103329629 & -0.0697010858493161 & 15.2248907528864 & 3.94481033296288 \tabularnewline
9 & 16.1 & 16.1499958013818 & 0.644994683388353 & 15.4050095152299 & 0.0499958013817956 \tabularnewline
10 & 13.35 & 11.2874808503668 & 0.0949384163309904 & 15.3175807333023 & -2.06251914963324 \tabularnewline
11 & 18.4 & 21.5856614363994 & -0.0158133877740563 & 15.2301519513747 & 3.1856614363994 \tabularnewline
12 & 14.7 & 13.3318596082338 & 0.910241704909035 & 15.1578986868572 & -1.36814039176623 \tabularnewline
13 & 10.6 & 6.785663918638 & -0.671309340977745 & 15.0856454223397 & -3.814336081362 \tabularnewline
14 & 12.6 & 11.5725373113535 & -1.36298957689295 & 14.9904522655395 & -1.0274626886465 \tabularnewline
15 & 16.2 & 17.2986984887676 & 0.206042402493201 & 14.8952591087392 & 1.09869848876763 \tabularnewline
16 & 13.6 & 12.8737593242074 & -0.490364452811022 & 14.8166051286036 & -0.726240675792576 \tabularnewline
17 & 18.9 & 22.1809658431367 & 0.88108300839525 & 14.737951148468 & 3.28096584313672 \tabularnewline
18 & 14.1 & 13.5079584660841 & 0.000129585491038993 & 14.6919119484249 & -0.592041533915925 \tabularnewline
19 & 14.5 & 14.4813791541199 & -0.127251902501611 & 14.6458727483817 & -0.0186208458801378 \tabularnewline
20 & 16.15 & 17.737277583511 & -0.0697010858493161 & 14.6324235023383 & 1.58727758351104 \tabularnewline
21 & 14.75 & 14.2360310603169 & 0.644994683388353 & 14.6189742562948 & -0.513968939683149 \tabularnewline
22 & 14.8 & 14.9367098438607 & 0.0949384163309904 & 14.5683517398083 & 0.136709843860707 \tabularnewline
23 & 12.45 & 10.3980841644522 & -0.0158133877740563 & 14.5177292233218 & -2.05191583554775 \tabularnewline
24 & 12.65 & 9.85884664360475 & 0.910241704909035 & 14.5309116514862 & -2.79115335639525 \tabularnewline
25 & 17.35 & 20.8272152613271 & -0.671309340977745 & 14.5440940796506 & 3.47721526132712 \tabularnewline
26 & 8.6 & 3.87367845458384 & -1.36298957689295 & 14.6893111223091 & -4.72632154541616 \tabularnewline
27 & 18.4 & 21.7594294325392 & 0.206042402493201 & 14.8345281649676 & 3.35942943253921 \tabularnewline
28 & 16.1 & 17.6674285571075 & -0.490364452811022 & 15.0229358957035 & 1.56742855710754 \tabularnewline
29 & 11.6 & 7.10757336516537 & 0.88108300839525 & 15.2113436264394 & -4.49242663483463 \tabularnewline
30 & 17.75 & 20.1598417612486 & 0.000129585491038993 & 15.3400286532604 & 2.40984176124857 \tabularnewline
31 & 15.25 & 15.1585382224202 & -0.127251902501611 & 15.4687136800814 & -0.0914617775798021 \tabularnewline
32 & 17.65 & 19.8701326002275 & -0.0697010858493161 & 15.4995684856219 & 2.22013260022745 \tabularnewline
33 & 16.35 & 16.5245820254493 & 0.644994683388353 & 15.5304232911623 & 0.174582025449338 \tabularnewline
34 & 17.65 & 19.6596858461275 & 0.0949384163309904 & 15.5453757375415 & 2.00968584612749 \tabularnewline
35 & 13.6 & 11.6554852038533 & -0.0158133877740563 & 15.5603281839207 & -1.94451479614666 \tabularnewline
36 & 14.35 & 12.2315127839884 & 0.910241704909035 & 15.5582455111025 & -2.11848721601158 \tabularnewline
37 & 14.75 & 14.6151465026934 & -0.671309340977745 & 15.5561628382844 & -0.134853497306615 \tabularnewline
38 & 18.25 & 22.335562183337 & -1.36298957689295 & 15.5274273935559 & 4.08556218333703 \tabularnewline
39 & 9.9 & 4.09526564867931 & 0.206042402493201 & 15.4986919488275 & -5.80473435132069 \tabularnewline
40 & 16 & 16.9990025283285 & -0.490364452811022 & 15.4913619244825 & 0.999002528328511 \tabularnewline
41 & 18.25 & 20.1348850914672 & 0.88108300839525 & 15.4840319001375 & 1.88488509146721 \tabularnewline
42 & 16.85 & 18.1893243725663 & 0.000129585491038993 & 15.5105460419427 & 1.33932437256628 \tabularnewline
43 & 14.6 & 13.7901917187538 & -0.127251902501611 & 15.5370601837478 & -0.809808281246207 \tabularnewline
44 & 13.85 & 12.1561977881464 & -0.0697010858493161 & 15.6135032977029 & -1.69380221185357 \tabularnewline
45 & 18.95 & 21.5650589049537 & 0.644994683388353 & 15.6899464116579 & 2.6150589049537 \tabularnewline
46 & 15.6 & 15.3062199223481 & 0.0949384163309904 & 15.7988416613209 & -0.293780077651926 \tabularnewline
47 & 14.85 & 13.8080764767901 & -0.0158133877740563 & 15.9077369109839 & -1.04192352320987 \tabularnewline
48 & 11.75 & 6.65851017873358 & 0.910241704909035 & 15.9312481163574 & -5.09148982126642 \tabularnewline
49 & 18.45 & 21.6165500192469 & -0.671309340977745 & 15.9547593217308 & 3.16655001924691 \tabularnewline
50 & 15.9 & 17.2294623852363 & -1.36298957689295 & 15.9335271916567 & 1.3294623852363 \tabularnewline
51 & 17.1 & 18.0816625359243 & 0.206042402493201 & 15.9122950615825 & 0.981662535924331 \tabularnewline
52 & 16.1 & 16.8520022292035 & -0.490364452811022 & 15.8383622236075 & 0.752002229203475 \tabularnewline
53 & 19.9 & 23.1544876059721 & 0.88108300839525 & 15.7644293856326 & 3.25448760597212 \tabularnewline
54 & 10.95 & 6.18483089526816 & 0.000129585491038993 & 15.7150395192408 & -4.76516910473184 \tabularnewline
55 & 18.45 & 21.3616022496526 & -0.127251902501611 & 15.665649652849 & 2.91160224965263 \tabularnewline
56 & 15.1 & 14.6845225971408 & -0.0697010858493161 & 15.5851784887086 & -0.415477402859237 \tabularnewline
57 & 15 & 13.8502979920435 & 0.644994683388353 & 15.5047073245681 & -1.14970200795648 \tabularnewline
58 & 11.35 & 7.13552817024041 & 0.0949384163309904 & 15.4695334134286 & -4.21447182975959 \tabularnewline
59 & 15.95 & 16.481453885485 & -0.0158133877740563 & 15.4343595022891 & 0.531453885484984 \tabularnewline
60 & 18.1 & 19.8549531848252 & 0.910241704909035 & 15.4348051102658 & 1.7549531848252 \tabularnewline
61 & 14.6 & 14.4360586227353 & -0.671309340977745 & 15.4352507182425 & -0.163941377264717 \tabularnewline
62 & 15.4 & 16.8350697006009 & -1.36298957689295 & 15.3279198762921 & 1.43506970060088 \tabularnewline
63 & 15.4 & 15.3733685631651 & 0.206042402493201 & 15.2205890343417 & -0.0266314368349008 \tabularnewline
64 & 17.6 & 20.5590698522491 & -0.490364452811022 & 15.1312946005619 & 2.95906985224913 \tabularnewline
65 & 13.35 & 10.7769168248227 & 0.88108300839525 & 15.0420001667821 & -2.57308317517733 \tabularnewline
66 & 19.1 & 23.2460779869661 & 0.000129585491038993 & 14.9537924275428 & 4.14607798696612 \tabularnewline
67 & 15.35 & 15.961667214198 & -0.127251902501611 & 14.8655846883036 & 0.611667214198 \tabularnewline
68 & 7.6 & 0.446568126052539 & -0.0697010858493161 & 14.8231329597968 & -7.15343187394746 \tabularnewline
69 & 13.4 & 11.3743240853217 & 0.644994683388353 & 14.7806812312899 & -2.0256759146783 \tabularnewline
70 & 13.9 & 13.0200905347278 & 0.0949384163309904 & 14.6849710489412 & -0.879909465272176 \tabularnewline
71 & 19.1 & 23.6265525211816 & -0.0158133877740563 & 14.5892608665924 & 4.52655252118163 \tabularnewline
72 & 15.25 & 15.1257457642143 & 0.910241704909035 & 14.4640125308767 & -0.124254235785733 \tabularnewline
73 & 12.9 & 12.1325451458168 & -0.671309340977745 & 14.338764195161 & -0.767454854183223 \tabularnewline
74 & 16.1 & 19.3133519530125 & -1.36298957689295 & 14.2496376238804 & 3.21335195301252 \tabularnewline
75 & 17.35 & 20.3334465449069 & 0.206042402493201 & 14.1605110525999 & 2.98344654490691 \tabularnewline
76 & 13.15 & 12.7320334520518 & -0.490364452811022 & 14.0583310007592 & -0.417966547948158 \tabularnewline
77 & 12.15 & 9.46276604268628 & 0.88108300839525 & 13.9561509489185 & -2.68723395731372 \tabularnewline
78 & 12.6 & 11.3578937292748 & 0.000129585491038993 & 13.8419766852341 & -1.24210627072515 \tabularnewline
79 & 10.35 & 7.09944948095185 & -0.127251902501611 & 13.7278024215498 & -3.25055051904815 \tabularnewline
80 & 15.4 & 17.1297266711132 & -0.0697010858493161 & 13.7399744147361 & 1.72972667111325 \tabularnewline
81 & 9.6 & 4.80285890868927 & 0.644994683388353 & 13.7521464079224 & -4.79714109131073 \tabularnewline
82 & 18.2 & 22.3374948840873 & 0.0949384163309904 & 13.9675666995817 & 4.13749488408734 \tabularnewline
83 & 13.6 & 13.0328263965331 & -0.0158133877740563 & 14.182986991241 & -0.567173603466902 \tabularnewline
84 & 14.85 & 14.317626551303 & 0.910241704909035 & 14.4721317437879 & -0.532373448696966 \tabularnewline
85 & 14.75 & 15.4100328446428 & -0.671309340977745 & 14.7612764963349 & 0.660032844642844 \tabularnewline
86 & 14.1 & 14.6754938904623 & -1.36298957689295 & 14.8874956864307 & 0.575493890462299 \tabularnewline
87 & 14.9 & 14.5802427209804 & 0.206042402493201 & 15.0137148765264 & -0.31975727901961 \tabularnewline
88 & 16.25 & 18.0723821741412 & -0.490364452811022 & 14.9179822786698 & 1.8223821741412 \tabularnewline
89 & 19.25 & 22.7966673107915 & 0.88108300839525 & 14.8222496808132 & 3.54666731079152 \tabularnewline
90 & 13.6 & 12.4863310575506 & 0.000129585491038993 & 14.7135393569583 & -1.11366894244939 \tabularnewline
91 & 13.6 & 12.7224228693981 & -0.127251902501611 & 14.6048290331035 & -0.877577130601862 \tabularnewline
92 & 15.65 & 16.8322393647615 & -0.0697010858493161 & 14.5374617210878 & 1.18223936476152 \tabularnewline
93 & 12.75 & 10.3849109075395 & 0.644994683388353 & 14.4700944090721 & -2.36508909246048 \tabularnewline
94 & 14.6 & 14.7659420135276 & 0.0949384163309904 & 14.3391195701414 & 0.165942013527589 \tabularnewline
95 & 9.85 & 5.50766865656334 & -0.0158133877740563 & 14.2081447312107 & -4.34233134343666 \tabularnewline
96 & 12.65 & 10.2801760366036 & 0.910241704909035 & 14.1095822584874 & -2.36982396339643 \tabularnewline
97 & 19.2 & 25.0602895552137 & -0.671309340977745 & 14.0110197857641 & 5.86028955521367 \tabularnewline
98 & 16.6 & 20.4887675407688 & -1.36298957689295 & 14.0742220361242 & 3.8887675407688 \tabularnewline
99 & 11.2 & 8.05653331102257 & 0.206042402493201 & 14.1374242864842 & -3.14346668897743 \tabularnewline
100 & 15.25 & 16.7377137769093 & -0.490364452811022 & 14.2526506759017 & 1.4877137769093 \tabularnewline
101 & 11.9 & 8.55103992628553 & 0.88108300839525 & 14.3678770653192 & -3.34896007371447 \tabularnewline
102 & 13.2 & 12.0139294231094 & 0.000129585491038993 & 14.3859409913996 & -1.18607057689062 \tabularnewline
103 & 16.35 & 18.4232469850217 & -0.127251902501611 & 14.4040049174799 & 2.07324698502167 \tabularnewline
104 & 12.4 & 10.5696381360902 & -0.0697010858493161 & 14.3000629497591 & -1.83036186390975 \tabularnewline
105 & 15.85 & 16.8588843345735 & 0.644994683388353 & 14.1961209820382 & 1.00888433457346 \tabularnewline
106 & 18.15 & 21.928739760498 & 0.0949384163309904 & 14.276321823171 & 3.77873976049803 \tabularnewline
107 & 11.15 & 7.95929072347028 & -0.0158133877740563 & 14.3565226643038 & -3.19070927652972 \tabularnewline
108 & 15.65 & 15.8581556259061 & 0.910241704909035 & 14.5316026691848 & 0.208155625906137 \tabularnewline
109 & 17.75 & 21.4646266669119 & -0.671309340977745 & 14.7066826740659 & 3.71462666691186 \tabularnewline
110 & 7.65 & 1.75656332603934 & -1.36298957689295 & 14.9064262508536 & -5.89343667396066 \tabularnewline
111 & 12.35 & 9.38778776986546 & 0.206042402493201 & 15.1061698276413 & -2.96221223013454 \tabularnewline
112 & 15.6 & 16.3039243258053 & -0.490364452811022 & 15.3864401270058 & 0.703924325805259 \tabularnewline
113 & 19.3 & 22.0522065652346 & 0.88108300839525 & 15.6667104263702 & 2.75220656523457 \tabularnewline
114 & 15.2 & 14.4483455586763 & 0.000129585491038993 & 15.9515248558326 & -0.751654441323666 \tabularnewline
115 & 17.1 & 18.0909126172065 & -0.127251902501611 & 16.2363392852951 & 0.990912617206543 \tabularnewline
116 & 15.6 & 15.0537002750493 & -0.0697010858493161 & 16.2160008108 & -0.546299724950682 \tabularnewline
117 & 18.4 & 19.9593429803067 & 0.644994683388353 & 16.1956623363049 & 1.55934298030672 \tabularnewline
118 & 19.05 & 22.2432921879277 & 0.0949384163309904 & 15.7617693957414 & 3.19329218792766 \tabularnewline
119 & 18.55 & 21.7879369325963 & -0.0158133877740563 & 15.3278764551778 & 3.23793693259628 \tabularnewline
120 & 19.1 & 22.5263390978576 & 0.910241704909035 & 14.7634191972333 & 3.42633909785762 \tabularnewline
121 & 13.1 & 12.6723474016888 & -0.671309340977745 & 14.1989619392889 & -0.427652598311164 \tabularnewline
122 & 12.85 & 13.3791426823312 & -1.36298957689295 & 13.6838468945618 & 0.529142682331194 \tabularnewline
123 & 9.5 & 5.62522574767219 & 0.206042402493201 & 13.1687318498346 & -3.87477425232781 \tabularnewline
124 & 4.5 & -3.27256292488152 & -0.490364452811022 & 12.7629273776925 & -7.77256292488152 \tabularnewline
125 & 11.85 & 10.4617940860543 & 0.88108300839525 & 12.3571229055505 & -1.38820591394572 \tabularnewline
126 & 13.6 & 14.9021790540565 & 0.000129585491038993 & 12.2976913604524 & 1.30217905405654 \tabularnewline
127 & 11.7 & 11.2889920871472 & -0.127251902501611 & 12.2382598153544 & -0.411007912852767 \tabularnewline
128 & 12.4 & 12.2721501621258 & -0.0697010858493161 & 12.5975509237235 & -0.127849837874209 \tabularnewline
129 & 13.35 & 13.098163284519 & 0.644994683388353 & 12.9568420320927 & -0.251836715481025 \tabularnewline
130 & 11.4 & 9.27276905491368 & 0.0949384163309904 & 13.4322925287553 & -2.12723094508632 \tabularnewline
131 & 14.9 & 15.9080703623561 & -0.0158133877740563 & 13.907743025418 & 1.00807036235606 \tabularnewline
132 & 19.9 & 24.7510284630832 & 0.910241704909035 & 14.1387298320077 & 4.85102846308325 \tabularnewline
133 & 11.2 & 8.70159270238031 & -0.671309340977745 & 14.3697166385974 & -2.49840729761969 \tabularnewline
134 & 14.6 & 16.1467581947299 & -1.36298957689295 & 14.4162313821631 & 1.54675819472986 \tabularnewline
135 & 17.6 & 20.5312114717781 & 0.206042402493201 & 14.4627461257288 & 2.93121147177805 \tabularnewline
136 & 14.05 & 14.1632252744491 & -0.490364452811022 & 14.427139178362 & 0.113225274449064 \tabularnewline
137 & 16.1 & 16.9273847606096 & 0.88108300839525 & 14.3915322309952 & 0.827384760609588 \tabularnewline
138 & 13.35 & 12.5231892217623 & 0.000129585491038993 & 14.1766811927467 & -0.826810778237709 \tabularnewline
139 & 11.85 & 9.86542174800343 & -0.127251902501611 & 13.9618301544982 & -1.98457825199656 \tabularnewline
140 & 11.95 & 10.3824579005578 & -0.0697010858493161 & 13.5872431852915 & -1.56754209944223 \tabularnewline
141 & 14.75 & 15.6423491005267 & 0.644994683388353 & 13.2126562160849 & 0.892349100526742 \tabularnewline
142 & 15.15 & 17.3978001718663 & 0.0949384163309904 & 12.8072614118027 & 2.24780017186634 \tabularnewline
143 & 13.2 & 14.0139467802536 & -0.0158133877740563 & 12.4018666075204 & 0.813946780253611 \tabularnewline
144 & 16.85 & 20.6352267293587 & 0.910241704909035 & 12.1545315657323 & 3.78522672935866 \tabularnewline
145 & 7.85 & 4.46411281703358 & -0.671309340977745 & 11.9071965239442 & -3.38588718296642 \tabularnewline
146 & 7.7 & 4.92037029486073 & -1.36298957689295 & 11.8426192820322 & -2.77962970513927 \tabularnewline
147 & 12.6 & 13.2159155573865 & 0.206042402493201 & 11.7780420401203 & 0.615915557386502 \tabularnewline
148 & 7.85 & 4.35496871637753 & -0.490364452811022 & 11.8353957364335 & -3.49503128362247 \tabularnewline
149 & 10.95 & 9.12616755885807 & 0.88108300839525 & 11.8927494327467 & -1.82383244114193 \tabularnewline
150 & 12.35 & 12.5397311350394 & 0.000129585491038993 & 12.1601392794695 & 0.189731135039434 \tabularnewline
151 & 9.95 & 7.59972277630924 & -0.127251902501611 & 12.4275291261924 & -2.35027722369076 \tabularnewline
152 & 14.9 & 17.0416516008608 & -0.0697010858493161 & 12.8280494849885 & 2.1416516008608 \tabularnewline
153 & 16.65 & 19.426435472827 & 0.644994683388353 & 13.2285698437846 & 2.77643547282699 \tabularnewline
154 & 13.4 & 13.1201124644094 & 0.0949384163309904 & 13.5849491192596 & -0.279887535590634 \tabularnewline
155 & 13.95 & 13.9744849930394 & -0.0158133877740563 & 13.9413283947346 & 0.0244849930394153 \tabularnewline
156 & 15.7 & 16.27026621849 & 0.910241704909035 & 14.219492076601 & 0.570266218489989 \tabularnewline
157 & 16.85 & 19.8736535825104 & -0.671309340977745 & 14.4976557584673 & 3.02365358251044 \tabularnewline
158 & 10.95 & 8.75549912798406 & -1.36298957689295 & 14.5074904489089 & -2.19450087201594 \tabularnewline
159 & 15.35 & 15.9766324581563 & 0.206042402493201 & 14.5173251393505 & 0.626632458156319 \tabularnewline
160 & 12.2 & 10.4895607036849 & -0.490364452811022 & 14.4008037491261 & -1.71043929631507 \tabularnewline
161 & 15.1 & 15.034634632703 & 0.88108300839525 & 14.2842823589017 & -0.0653653672969554 \tabularnewline
162 & 17.75 & 21.3474853727882 & 0.000129585491038993 & 14.1523850417208 & 3.59748537278818 \tabularnewline
163 & 15.2 & 16.5067641779617 & -0.127251902501611 & 14.0204877245399 & 1.30676417796174 \tabularnewline
164 & 14.6 & 15.3877625846855 & -0.0697010858493161 & 13.8819385011639 & 0.78776258468546 \tabularnewline
165 & 16.65 & 18.9116160388238 & 0.644994683388353 & 13.7433892777878 & 2.2616160388238 \tabularnewline
166 & 8.1 & 2.51646581206011 & 0.0949384163309904 & 13.5885957716089 & -5.58353418793989 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267941&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]4.35[/C][C]-4.10273242790735[/C][C]-0.671309340977745[/C][C]13.4740417688851[/C][C]-8.45273242790735[/C][/ROW]
[ROW][C]2[/C][C]12.7[/C][C]12.9932427920534[/C][C]-1.36298957689295[/C][C]13.7697467848395[/C][C]0.293242792053423[/C][/ROW]
[ROW][C]3[/C][C]18.1[/C][C]21.9285057967128[/C][C]0.206042402493201[/C][C]14.065451800794[/C][C]3.82850579671284[/C][/ROW]
[ROW][C]4[/C][C]17.85[/C][C]21.869331114097[/C][C]-0.490364452811022[/C][C]14.321033338714[/C][C]4.01933111409703[/C][/ROW]
[ROW][C]5[/C][C]16.6[/C][C]17.7423021149707[/C][C]0.88108300839525[/C][C]14.576614876634[/C][C]1.14230211497073[/C][/ROW]
[ROW][C]6[/C][C]12.6[/C][C]10.3891769809204[/C][C]0.000129585491038993[/C][C]14.8106934335885[/C][C]-2.21082301907956[/C][/ROW]
[ROW][C]7[/C][C]17.1[/C][C]19.2824799119586[/C][C]-0.127251902501611[/C][C]15.044771990543[/C][C]2.18247991195859[/C][/ROW]
[ROW][C]8[/C][C]19.1[/C][C]23.0448103329629[/C][C]-0.0697010858493161[/C][C]15.2248907528864[/C][C]3.94481033296288[/C][/ROW]
[ROW][C]9[/C][C]16.1[/C][C]16.1499958013818[/C][C]0.644994683388353[/C][C]15.4050095152299[/C][C]0.0499958013817956[/C][/ROW]
[ROW][C]10[/C][C]13.35[/C][C]11.2874808503668[/C][C]0.0949384163309904[/C][C]15.3175807333023[/C][C]-2.06251914963324[/C][/ROW]
[ROW][C]11[/C][C]18.4[/C][C]21.5856614363994[/C][C]-0.0158133877740563[/C][C]15.2301519513747[/C][C]3.1856614363994[/C][/ROW]
[ROW][C]12[/C][C]14.7[/C][C]13.3318596082338[/C][C]0.910241704909035[/C][C]15.1578986868572[/C][C]-1.36814039176623[/C][/ROW]
[ROW][C]13[/C][C]10.6[/C][C]6.785663918638[/C][C]-0.671309340977745[/C][C]15.0856454223397[/C][C]-3.814336081362[/C][/ROW]
[ROW][C]14[/C][C]12.6[/C][C]11.5725373113535[/C][C]-1.36298957689295[/C][C]14.9904522655395[/C][C]-1.0274626886465[/C][/ROW]
[ROW][C]15[/C][C]16.2[/C][C]17.2986984887676[/C][C]0.206042402493201[/C][C]14.8952591087392[/C][C]1.09869848876763[/C][/ROW]
[ROW][C]16[/C][C]13.6[/C][C]12.8737593242074[/C][C]-0.490364452811022[/C][C]14.8166051286036[/C][C]-0.726240675792576[/C][/ROW]
[ROW][C]17[/C][C]18.9[/C][C]22.1809658431367[/C][C]0.88108300839525[/C][C]14.737951148468[/C][C]3.28096584313672[/C][/ROW]
[ROW][C]18[/C][C]14.1[/C][C]13.5079584660841[/C][C]0.000129585491038993[/C][C]14.6919119484249[/C][C]-0.592041533915925[/C][/ROW]
[ROW][C]19[/C][C]14.5[/C][C]14.4813791541199[/C][C]-0.127251902501611[/C][C]14.6458727483817[/C][C]-0.0186208458801378[/C][/ROW]
[ROW][C]20[/C][C]16.15[/C][C]17.737277583511[/C][C]-0.0697010858493161[/C][C]14.6324235023383[/C][C]1.58727758351104[/C][/ROW]
[ROW][C]21[/C][C]14.75[/C][C]14.2360310603169[/C][C]0.644994683388353[/C][C]14.6189742562948[/C][C]-0.513968939683149[/C][/ROW]
[ROW][C]22[/C][C]14.8[/C][C]14.9367098438607[/C][C]0.0949384163309904[/C][C]14.5683517398083[/C][C]0.136709843860707[/C][/ROW]
[ROW][C]23[/C][C]12.45[/C][C]10.3980841644522[/C][C]-0.0158133877740563[/C][C]14.5177292233218[/C][C]-2.05191583554775[/C][/ROW]
[ROW][C]24[/C][C]12.65[/C][C]9.85884664360475[/C][C]0.910241704909035[/C][C]14.5309116514862[/C][C]-2.79115335639525[/C][/ROW]
[ROW][C]25[/C][C]17.35[/C][C]20.8272152613271[/C][C]-0.671309340977745[/C][C]14.5440940796506[/C][C]3.47721526132712[/C][/ROW]
[ROW][C]26[/C][C]8.6[/C][C]3.87367845458384[/C][C]-1.36298957689295[/C][C]14.6893111223091[/C][C]-4.72632154541616[/C][/ROW]
[ROW][C]27[/C][C]18.4[/C][C]21.7594294325392[/C][C]0.206042402493201[/C][C]14.8345281649676[/C][C]3.35942943253921[/C][/ROW]
[ROW][C]28[/C][C]16.1[/C][C]17.6674285571075[/C][C]-0.490364452811022[/C][C]15.0229358957035[/C][C]1.56742855710754[/C][/ROW]
[ROW][C]29[/C][C]11.6[/C][C]7.10757336516537[/C][C]0.88108300839525[/C][C]15.2113436264394[/C][C]-4.49242663483463[/C][/ROW]
[ROW][C]30[/C][C]17.75[/C][C]20.1598417612486[/C][C]0.000129585491038993[/C][C]15.3400286532604[/C][C]2.40984176124857[/C][/ROW]
[ROW][C]31[/C][C]15.25[/C][C]15.1585382224202[/C][C]-0.127251902501611[/C][C]15.4687136800814[/C][C]-0.0914617775798021[/C][/ROW]
[ROW][C]32[/C][C]17.65[/C][C]19.8701326002275[/C][C]-0.0697010858493161[/C][C]15.4995684856219[/C][C]2.22013260022745[/C][/ROW]
[ROW][C]33[/C][C]16.35[/C][C]16.5245820254493[/C][C]0.644994683388353[/C][C]15.5304232911623[/C][C]0.174582025449338[/C][/ROW]
[ROW][C]34[/C][C]17.65[/C][C]19.6596858461275[/C][C]0.0949384163309904[/C][C]15.5453757375415[/C][C]2.00968584612749[/C][/ROW]
[ROW][C]35[/C][C]13.6[/C][C]11.6554852038533[/C][C]-0.0158133877740563[/C][C]15.5603281839207[/C][C]-1.94451479614666[/C][/ROW]
[ROW][C]36[/C][C]14.35[/C][C]12.2315127839884[/C][C]0.910241704909035[/C][C]15.5582455111025[/C][C]-2.11848721601158[/C][/ROW]
[ROW][C]37[/C][C]14.75[/C][C]14.6151465026934[/C][C]-0.671309340977745[/C][C]15.5561628382844[/C][C]-0.134853497306615[/C][/ROW]
[ROW][C]38[/C][C]18.25[/C][C]22.335562183337[/C][C]-1.36298957689295[/C][C]15.5274273935559[/C][C]4.08556218333703[/C][/ROW]
[ROW][C]39[/C][C]9.9[/C][C]4.09526564867931[/C][C]0.206042402493201[/C][C]15.4986919488275[/C][C]-5.80473435132069[/C][/ROW]
[ROW][C]40[/C][C]16[/C][C]16.9990025283285[/C][C]-0.490364452811022[/C][C]15.4913619244825[/C][C]0.999002528328511[/C][/ROW]
[ROW][C]41[/C][C]18.25[/C][C]20.1348850914672[/C][C]0.88108300839525[/C][C]15.4840319001375[/C][C]1.88488509146721[/C][/ROW]
[ROW][C]42[/C][C]16.85[/C][C]18.1893243725663[/C][C]0.000129585491038993[/C][C]15.5105460419427[/C][C]1.33932437256628[/C][/ROW]
[ROW][C]43[/C][C]14.6[/C][C]13.7901917187538[/C][C]-0.127251902501611[/C][C]15.5370601837478[/C][C]-0.809808281246207[/C][/ROW]
[ROW][C]44[/C][C]13.85[/C][C]12.1561977881464[/C][C]-0.0697010858493161[/C][C]15.6135032977029[/C][C]-1.69380221185357[/C][/ROW]
[ROW][C]45[/C][C]18.95[/C][C]21.5650589049537[/C][C]0.644994683388353[/C][C]15.6899464116579[/C][C]2.6150589049537[/C][/ROW]
[ROW][C]46[/C][C]15.6[/C][C]15.3062199223481[/C][C]0.0949384163309904[/C][C]15.7988416613209[/C][C]-0.293780077651926[/C][/ROW]
[ROW][C]47[/C][C]14.85[/C][C]13.8080764767901[/C][C]-0.0158133877740563[/C][C]15.9077369109839[/C][C]-1.04192352320987[/C][/ROW]
[ROW][C]48[/C][C]11.75[/C][C]6.65851017873358[/C][C]0.910241704909035[/C][C]15.9312481163574[/C][C]-5.09148982126642[/C][/ROW]
[ROW][C]49[/C][C]18.45[/C][C]21.6165500192469[/C][C]-0.671309340977745[/C][C]15.9547593217308[/C][C]3.16655001924691[/C][/ROW]
[ROW][C]50[/C][C]15.9[/C][C]17.2294623852363[/C][C]-1.36298957689295[/C][C]15.9335271916567[/C][C]1.3294623852363[/C][/ROW]
[ROW][C]51[/C][C]17.1[/C][C]18.0816625359243[/C][C]0.206042402493201[/C][C]15.9122950615825[/C][C]0.981662535924331[/C][/ROW]
[ROW][C]52[/C][C]16.1[/C][C]16.8520022292035[/C][C]-0.490364452811022[/C][C]15.8383622236075[/C][C]0.752002229203475[/C][/ROW]
[ROW][C]53[/C][C]19.9[/C][C]23.1544876059721[/C][C]0.88108300839525[/C][C]15.7644293856326[/C][C]3.25448760597212[/C][/ROW]
[ROW][C]54[/C][C]10.95[/C][C]6.18483089526816[/C][C]0.000129585491038993[/C][C]15.7150395192408[/C][C]-4.76516910473184[/C][/ROW]
[ROW][C]55[/C][C]18.45[/C][C]21.3616022496526[/C][C]-0.127251902501611[/C][C]15.665649652849[/C][C]2.91160224965263[/C][/ROW]
[ROW][C]56[/C][C]15.1[/C][C]14.6845225971408[/C][C]-0.0697010858493161[/C][C]15.5851784887086[/C][C]-0.415477402859237[/C][/ROW]
[ROW][C]57[/C][C]15[/C][C]13.8502979920435[/C][C]0.644994683388353[/C][C]15.5047073245681[/C][C]-1.14970200795648[/C][/ROW]
[ROW][C]58[/C][C]11.35[/C][C]7.13552817024041[/C][C]0.0949384163309904[/C][C]15.4695334134286[/C][C]-4.21447182975959[/C][/ROW]
[ROW][C]59[/C][C]15.95[/C][C]16.481453885485[/C][C]-0.0158133877740563[/C][C]15.4343595022891[/C][C]0.531453885484984[/C][/ROW]
[ROW][C]60[/C][C]18.1[/C][C]19.8549531848252[/C][C]0.910241704909035[/C][C]15.4348051102658[/C][C]1.7549531848252[/C][/ROW]
[ROW][C]61[/C][C]14.6[/C][C]14.4360586227353[/C][C]-0.671309340977745[/C][C]15.4352507182425[/C][C]-0.163941377264717[/C][/ROW]
[ROW][C]62[/C][C]15.4[/C][C]16.8350697006009[/C][C]-1.36298957689295[/C][C]15.3279198762921[/C][C]1.43506970060088[/C][/ROW]
[ROW][C]63[/C][C]15.4[/C][C]15.3733685631651[/C][C]0.206042402493201[/C][C]15.2205890343417[/C][C]-0.0266314368349008[/C][/ROW]
[ROW][C]64[/C][C]17.6[/C][C]20.5590698522491[/C][C]-0.490364452811022[/C][C]15.1312946005619[/C][C]2.95906985224913[/C][/ROW]
[ROW][C]65[/C][C]13.35[/C][C]10.7769168248227[/C][C]0.88108300839525[/C][C]15.0420001667821[/C][C]-2.57308317517733[/C][/ROW]
[ROW][C]66[/C][C]19.1[/C][C]23.2460779869661[/C][C]0.000129585491038993[/C][C]14.9537924275428[/C][C]4.14607798696612[/C][/ROW]
[ROW][C]67[/C][C]15.35[/C][C]15.961667214198[/C][C]-0.127251902501611[/C][C]14.8655846883036[/C][C]0.611667214198[/C][/ROW]
[ROW][C]68[/C][C]7.6[/C][C]0.446568126052539[/C][C]-0.0697010858493161[/C][C]14.8231329597968[/C][C]-7.15343187394746[/C][/ROW]
[ROW][C]69[/C][C]13.4[/C][C]11.3743240853217[/C][C]0.644994683388353[/C][C]14.7806812312899[/C][C]-2.0256759146783[/C][/ROW]
[ROW][C]70[/C][C]13.9[/C][C]13.0200905347278[/C][C]0.0949384163309904[/C][C]14.6849710489412[/C][C]-0.879909465272176[/C][/ROW]
[ROW][C]71[/C][C]19.1[/C][C]23.6265525211816[/C][C]-0.0158133877740563[/C][C]14.5892608665924[/C][C]4.52655252118163[/C][/ROW]
[ROW][C]72[/C][C]15.25[/C][C]15.1257457642143[/C][C]0.910241704909035[/C][C]14.4640125308767[/C][C]-0.124254235785733[/C][/ROW]
[ROW][C]73[/C][C]12.9[/C][C]12.1325451458168[/C][C]-0.671309340977745[/C][C]14.338764195161[/C][C]-0.767454854183223[/C][/ROW]
[ROW][C]74[/C][C]16.1[/C][C]19.3133519530125[/C][C]-1.36298957689295[/C][C]14.2496376238804[/C][C]3.21335195301252[/C][/ROW]
[ROW][C]75[/C][C]17.35[/C][C]20.3334465449069[/C][C]0.206042402493201[/C][C]14.1605110525999[/C][C]2.98344654490691[/C][/ROW]
[ROW][C]76[/C][C]13.15[/C][C]12.7320334520518[/C][C]-0.490364452811022[/C][C]14.0583310007592[/C][C]-0.417966547948158[/C][/ROW]
[ROW][C]77[/C][C]12.15[/C][C]9.46276604268628[/C][C]0.88108300839525[/C][C]13.9561509489185[/C][C]-2.68723395731372[/C][/ROW]
[ROW][C]78[/C][C]12.6[/C][C]11.3578937292748[/C][C]0.000129585491038993[/C][C]13.8419766852341[/C][C]-1.24210627072515[/C][/ROW]
[ROW][C]79[/C][C]10.35[/C][C]7.09944948095185[/C][C]-0.127251902501611[/C][C]13.7278024215498[/C][C]-3.25055051904815[/C][/ROW]
[ROW][C]80[/C][C]15.4[/C][C]17.1297266711132[/C][C]-0.0697010858493161[/C][C]13.7399744147361[/C][C]1.72972667111325[/C][/ROW]
[ROW][C]81[/C][C]9.6[/C][C]4.80285890868927[/C][C]0.644994683388353[/C][C]13.7521464079224[/C][C]-4.79714109131073[/C][/ROW]
[ROW][C]82[/C][C]18.2[/C][C]22.3374948840873[/C][C]0.0949384163309904[/C][C]13.9675666995817[/C][C]4.13749488408734[/C][/ROW]
[ROW][C]83[/C][C]13.6[/C][C]13.0328263965331[/C][C]-0.0158133877740563[/C][C]14.182986991241[/C][C]-0.567173603466902[/C][/ROW]
[ROW][C]84[/C][C]14.85[/C][C]14.317626551303[/C][C]0.910241704909035[/C][C]14.4721317437879[/C][C]-0.532373448696966[/C][/ROW]
[ROW][C]85[/C][C]14.75[/C][C]15.4100328446428[/C][C]-0.671309340977745[/C][C]14.7612764963349[/C][C]0.660032844642844[/C][/ROW]
[ROW][C]86[/C][C]14.1[/C][C]14.6754938904623[/C][C]-1.36298957689295[/C][C]14.8874956864307[/C][C]0.575493890462299[/C][/ROW]
[ROW][C]87[/C][C]14.9[/C][C]14.5802427209804[/C][C]0.206042402493201[/C][C]15.0137148765264[/C][C]-0.31975727901961[/C][/ROW]
[ROW][C]88[/C][C]16.25[/C][C]18.0723821741412[/C][C]-0.490364452811022[/C][C]14.9179822786698[/C][C]1.8223821741412[/C][/ROW]
[ROW][C]89[/C][C]19.25[/C][C]22.7966673107915[/C][C]0.88108300839525[/C][C]14.8222496808132[/C][C]3.54666731079152[/C][/ROW]
[ROW][C]90[/C][C]13.6[/C][C]12.4863310575506[/C][C]0.000129585491038993[/C][C]14.7135393569583[/C][C]-1.11366894244939[/C][/ROW]
[ROW][C]91[/C][C]13.6[/C][C]12.7224228693981[/C][C]-0.127251902501611[/C][C]14.6048290331035[/C][C]-0.877577130601862[/C][/ROW]
[ROW][C]92[/C][C]15.65[/C][C]16.8322393647615[/C][C]-0.0697010858493161[/C][C]14.5374617210878[/C][C]1.18223936476152[/C][/ROW]
[ROW][C]93[/C][C]12.75[/C][C]10.3849109075395[/C][C]0.644994683388353[/C][C]14.4700944090721[/C][C]-2.36508909246048[/C][/ROW]
[ROW][C]94[/C][C]14.6[/C][C]14.7659420135276[/C][C]0.0949384163309904[/C][C]14.3391195701414[/C][C]0.165942013527589[/C][/ROW]
[ROW][C]95[/C][C]9.85[/C][C]5.50766865656334[/C][C]-0.0158133877740563[/C][C]14.2081447312107[/C][C]-4.34233134343666[/C][/ROW]
[ROW][C]96[/C][C]12.65[/C][C]10.2801760366036[/C][C]0.910241704909035[/C][C]14.1095822584874[/C][C]-2.36982396339643[/C][/ROW]
[ROW][C]97[/C][C]19.2[/C][C]25.0602895552137[/C][C]-0.671309340977745[/C][C]14.0110197857641[/C][C]5.86028955521367[/C][/ROW]
[ROW][C]98[/C][C]16.6[/C][C]20.4887675407688[/C][C]-1.36298957689295[/C][C]14.0742220361242[/C][C]3.8887675407688[/C][/ROW]
[ROW][C]99[/C][C]11.2[/C][C]8.05653331102257[/C][C]0.206042402493201[/C][C]14.1374242864842[/C][C]-3.14346668897743[/C][/ROW]
[ROW][C]100[/C][C]15.25[/C][C]16.7377137769093[/C][C]-0.490364452811022[/C][C]14.2526506759017[/C][C]1.4877137769093[/C][/ROW]
[ROW][C]101[/C][C]11.9[/C][C]8.55103992628553[/C][C]0.88108300839525[/C][C]14.3678770653192[/C][C]-3.34896007371447[/C][/ROW]
[ROW][C]102[/C][C]13.2[/C][C]12.0139294231094[/C][C]0.000129585491038993[/C][C]14.3859409913996[/C][C]-1.18607057689062[/C][/ROW]
[ROW][C]103[/C][C]16.35[/C][C]18.4232469850217[/C][C]-0.127251902501611[/C][C]14.4040049174799[/C][C]2.07324698502167[/C][/ROW]
[ROW][C]104[/C][C]12.4[/C][C]10.5696381360902[/C][C]-0.0697010858493161[/C][C]14.3000629497591[/C][C]-1.83036186390975[/C][/ROW]
[ROW][C]105[/C][C]15.85[/C][C]16.8588843345735[/C][C]0.644994683388353[/C][C]14.1961209820382[/C][C]1.00888433457346[/C][/ROW]
[ROW][C]106[/C][C]18.15[/C][C]21.928739760498[/C][C]0.0949384163309904[/C][C]14.276321823171[/C][C]3.77873976049803[/C][/ROW]
[ROW][C]107[/C][C]11.15[/C][C]7.95929072347028[/C][C]-0.0158133877740563[/C][C]14.3565226643038[/C][C]-3.19070927652972[/C][/ROW]
[ROW][C]108[/C][C]15.65[/C][C]15.8581556259061[/C][C]0.910241704909035[/C][C]14.5316026691848[/C][C]0.208155625906137[/C][/ROW]
[ROW][C]109[/C][C]17.75[/C][C]21.4646266669119[/C][C]-0.671309340977745[/C][C]14.7066826740659[/C][C]3.71462666691186[/C][/ROW]
[ROW][C]110[/C][C]7.65[/C][C]1.75656332603934[/C][C]-1.36298957689295[/C][C]14.9064262508536[/C][C]-5.89343667396066[/C][/ROW]
[ROW][C]111[/C][C]12.35[/C][C]9.38778776986546[/C][C]0.206042402493201[/C][C]15.1061698276413[/C][C]-2.96221223013454[/C][/ROW]
[ROW][C]112[/C][C]15.6[/C][C]16.3039243258053[/C][C]-0.490364452811022[/C][C]15.3864401270058[/C][C]0.703924325805259[/C][/ROW]
[ROW][C]113[/C][C]19.3[/C][C]22.0522065652346[/C][C]0.88108300839525[/C][C]15.6667104263702[/C][C]2.75220656523457[/C][/ROW]
[ROW][C]114[/C][C]15.2[/C][C]14.4483455586763[/C][C]0.000129585491038993[/C][C]15.9515248558326[/C][C]-0.751654441323666[/C][/ROW]
[ROW][C]115[/C][C]17.1[/C][C]18.0909126172065[/C][C]-0.127251902501611[/C][C]16.2363392852951[/C][C]0.990912617206543[/C][/ROW]
[ROW][C]116[/C][C]15.6[/C][C]15.0537002750493[/C][C]-0.0697010858493161[/C][C]16.2160008108[/C][C]-0.546299724950682[/C][/ROW]
[ROW][C]117[/C][C]18.4[/C][C]19.9593429803067[/C][C]0.644994683388353[/C][C]16.1956623363049[/C][C]1.55934298030672[/C][/ROW]
[ROW][C]118[/C][C]19.05[/C][C]22.2432921879277[/C][C]0.0949384163309904[/C][C]15.7617693957414[/C][C]3.19329218792766[/C][/ROW]
[ROW][C]119[/C][C]18.55[/C][C]21.7879369325963[/C][C]-0.0158133877740563[/C][C]15.3278764551778[/C][C]3.23793693259628[/C][/ROW]
[ROW][C]120[/C][C]19.1[/C][C]22.5263390978576[/C][C]0.910241704909035[/C][C]14.7634191972333[/C][C]3.42633909785762[/C][/ROW]
[ROW][C]121[/C][C]13.1[/C][C]12.6723474016888[/C][C]-0.671309340977745[/C][C]14.1989619392889[/C][C]-0.427652598311164[/C][/ROW]
[ROW][C]122[/C][C]12.85[/C][C]13.3791426823312[/C][C]-1.36298957689295[/C][C]13.6838468945618[/C][C]0.529142682331194[/C][/ROW]
[ROW][C]123[/C][C]9.5[/C][C]5.62522574767219[/C][C]0.206042402493201[/C][C]13.1687318498346[/C][C]-3.87477425232781[/C][/ROW]
[ROW][C]124[/C][C]4.5[/C][C]-3.27256292488152[/C][C]-0.490364452811022[/C][C]12.7629273776925[/C][C]-7.77256292488152[/C][/ROW]
[ROW][C]125[/C][C]11.85[/C][C]10.4617940860543[/C][C]0.88108300839525[/C][C]12.3571229055505[/C][C]-1.38820591394572[/C][/ROW]
[ROW][C]126[/C][C]13.6[/C][C]14.9021790540565[/C][C]0.000129585491038993[/C][C]12.2976913604524[/C][C]1.30217905405654[/C][/ROW]
[ROW][C]127[/C][C]11.7[/C][C]11.2889920871472[/C][C]-0.127251902501611[/C][C]12.2382598153544[/C][C]-0.411007912852767[/C][/ROW]
[ROW][C]128[/C][C]12.4[/C][C]12.2721501621258[/C][C]-0.0697010858493161[/C][C]12.5975509237235[/C][C]-0.127849837874209[/C][/ROW]
[ROW][C]129[/C][C]13.35[/C][C]13.098163284519[/C][C]0.644994683388353[/C][C]12.9568420320927[/C][C]-0.251836715481025[/C][/ROW]
[ROW][C]130[/C][C]11.4[/C][C]9.27276905491368[/C][C]0.0949384163309904[/C][C]13.4322925287553[/C][C]-2.12723094508632[/C][/ROW]
[ROW][C]131[/C][C]14.9[/C][C]15.9080703623561[/C][C]-0.0158133877740563[/C][C]13.907743025418[/C][C]1.00807036235606[/C][/ROW]
[ROW][C]132[/C][C]19.9[/C][C]24.7510284630832[/C][C]0.910241704909035[/C][C]14.1387298320077[/C][C]4.85102846308325[/C][/ROW]
[ROW][C]133[/C][C]11.2[/C][C]8.70159270238031[/C][C]-0.671309340977745[/C][C]14.3697166385974[/C][C]-2.49840729761969[/C][/ROW]
[ROW][C]134[/C][C]14.6[/C][C]16.1467581947299[/C][C]-1.36298957689295[/C][C]14.4162313821631[/C][C]1.54675819472986[/C][/ROW]
[ROW][C]135[/C][C]17.6[/C][C]20.5312114717781[/C][C]0.206042402493201[/C][C]14.4627461257288[/C][C]2.93121147177805[/C][/ROW]
[ROW][C]136[/C][C]14.05[/C][C]14.1632252744491[/C][C]-0.490364452811022[/C][C]14.427139178362[/C][C]0.113225274449064[/C][/ROW]
[ROW][C]137[/C][C]16.1[/C][C]16.9273847606096[/C][C]0.88108300839525[/C][C]14.3915322309952[/C][C]0.827384760609588[/C][/ROW]
[ROW][C]138[/C][C]13.35[/C][C]12.5231892217623[/C][C]0.000129585491038993[/C][C]14.1766811927467[/C][C]-0.826810778237709[/C][/ROW]
[ROW][C]139[/C][C]11.85[/C][C]9.86542174800343[/C][C]-0.127251902501611[/C][C]13.9618301544982[/C][C]-1.98457825199656[/C][/ROW]
[ROW][C]140[/C][C]11.95[/C][C]10.3824579005578[/C][C]-0.0697010858493161[/C][C]13.5872431852915[/C][C]-1.56754209944223[/C][/ROW]
[ROW][C]141[/C][C]14.75[/C][C]15.6423491005267[/C][C]0.644994683388353[/C][C]13.2126562160849[/C][C]0.892349100526742[/C][/ROW]
[ROW][C]142[/C][C]15.15[/C][C]17.3978001718663[/C][C]0.0949384163309904[/C][C]12.8072614118027[/C][C]2.24780017186634[/C][/ROW]
[ROW][C]143[/C][C]13.2[/C][C]14.0139467802536[/C][C]-0.0158133877740563[/C][C]12.4018666075204[/C][C]0.813946780253611[/C][/ROW]
[ROW][C]144[/C][C]16.85[/C][C]20.6352267293587[/C][C]0.910241704909035[/C][C]12.1545315657323[/C][C]3.78522672935866[/C][/ROW]
[ROW][C]145[/C][C]7.85[/C][C]4.46411281703358[/C][C]-0.671309340977745[/C][C]11.9071965239442[/C][C]-3.38588718296642[/C][/ROW]
[ROW][C]146[/C][C]7.7[/C][C]4.92037029486073[/C][C]-1.36298957689295[/C][C]11.8426192820322[/C][C]-2.77962970513927[/C][/ROW]
[ROW][C]147[/C][C]12.6[/C][C]13.2159155573865[/C][C]0.206042402493201[/C][C]11.7780420401203[/C][C]0.615915557386502[/C][/ROW]
[ROW][C]148[/C][C]7.85[/C][C]4.35496871637753[/C][C]-0.490364452811022[/C][C]11.8353957364335[/C][C]-3.49503128362247[/C][/ROW]
[ROW][C]149[/C][C]10.95[/C][C]9.12616755885807[/C][C]0.88108300839525[/C][C]11.8927494327467[/C][C]-1.82383244114193[/C][/ROW]
[ROW][C]150[/C][C]12.35[/C][C]12.5397311350394[/C][C]0.000129585491038993[/C][C]12.1601392794695[/C][C]0.189731135039434[/C][/ROW]
[ROW][C]151[/C][C]9.95[/C][C]7.59972277630924[/C][C]-0.127251902501611[/C][C]12.4275291261924[/C][C]-2.35027722369076[/C][/ROW]
[ROW][C]152[/C][C]14.9[/C][C]17.0416516008608[/C][C]-0.0697010858493161[/C][C]12.8280494849885[/C][C]2.1416516008608[/C][/ROW]
[ROW][C]153[/C][C]16.65[/C][C]19.426435472827[/C][C]0.644994683388353[/C][C]13.2285698437846[/C][C]2.77643547282699[/C][/ROW]
[ROW][C]154[/C][C]13.4[/C][C]13.1201124644094[/C][C]0.0949384163309904[/C][C]13.5849491192596[/C][C]-0.279887535590634[/C][/ROW]
[ROW][C]155[/C][C]13.95[/C][C]13.9744849930394[/C][C]-0.0158133877740563[/C][C]13.9413283947346[/C][C]0.0244849930394153[/C][/ROW]
[ROW][C]156[/C][C]15.7[/C][C]16.27026621849[/C][C]0.910241704909035[/C][C]14.219492076601[/C][C]0.570266218489989[/C][/ROW]
[ROW][C]157[/C][C]16.85[/C][C]19.8736535825104[/C][C]-0.671309340977745[/C][C]14.4976557584673[/C][C]3.02365358251044[/C][/ROW]
[ROW][C]158[/C][C]10.95[/C][C]8.75549912798406[/C][C]-1.36298957689295[/C][C]14.5074904489089[/C][C]-2.19450087201594[/C][/ROW]
[ROW][C]159[/C][C]15.35[/C][C]15.9766324581563[/C][C]0.206042402493201[/C][C]14.5173251393505[/C][C]0.626632458156319[/C][/ROW]
[ROW][C]160[/C][C]12.2[/C][C]10.4895607036849[/C][C]-0.490364452811022[/C][C]14.4008037491261[/C][C]-1.71043929631507[/C][/ROW]
[ROW][C]161[/C][C]15.1[/C][C]15.034634632703[/C][C]0.88108300839525[/C][C]14.2842823589017[/C][C]-0.0653653672969554[/C][/ROW]
[ROW][C]162[/C][C]17.75[/C][C]21.3474853727882[/C][C]0.000129585491038993[/C][C]14.1523850417208[/C][C]3.59748537278818[/C][/ROW]
[ROW][C]163[/C][C]15.2[/C][C]16.5067641779617[/C][C]-0.127251902501611[/C][C]14.0204877245399[/C][C]1.30676417796174[/C][/ROW]
[ROW][C]164[/C][C]14.6[/C][C]15.3877625846855[/C][C]-0.0697010858493161[/C][C]13.8819385011639[/C][C]0.78776258468546[/C][/ROW]
[ROW][C]165[/C][C]16.65[/C][C]18.9116160388238[/C][C]0.644994683388353[/C][C]13.7433892777878[/C][C]2.2616160388238[/C][/ROW]
[ROW][C]166[/C][C]8.1[/C][C]2.51646581206011[/C][C]0.0949384163309904[/C][C]13.5885957716089[/C][C]-5.58353418793989[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267941&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267941&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
14.35-4.10273242790735-0.67130934097774513.4740417688851-8.45273242790735
212.712.9932427920534-1.3629895768929513.76974678483950.293242792053423
318.121.92850579671280.20604240249320114.0654518007943.82850579671284
417.8521.869331114097-0.49036445281102214.3210333387144.01933111409703
516.617.74230211497070.8810830083952514.5766148766341.14230211497073
612.610.38917698092040.00012958549103899314.8106934335885-2.21082301907956
717.119.2824799119586-0.12725190250161115.0447719905432.18247991195859
819.123.0448103329629-0.069701085849316115.22489075288643.94481033296288
916.116.14999580138180.64499468338835315.40500951522990.0499958013817956
1013.3511.28748085036680.094938416330990415.3175807333023-2.06251914963324
1118.421.5856614363994-0.015813387774056315.23015195137473.1856614363994
1214.713.33185960823380.91024170490903515.1578986868572-1.36814039176623
1310.66.785663918638-0.67130934097774515.0856454223397-3.814336081362
1412.611.5725373113535-1.3629895768929514.9904522655395-1.0274626886465
1516.217.29869848876760.20604240249320114.89525910873921.09869848876763
1613.612.8737593242074-0.49036445281102214.8166051286036-0.726240675792576
1718.922.18096584313670.8810830083952514.7379511484683.28096584313672
1814.113.50795846608410.00012958549103899314.6919119484249-0.592041533915925
1914.514.4813791541199-0.12725190250161114.6458727483817-0.0186208458801378
2016.1517.737277583511-0.069701085849316114.63242350233831.58727758351104
2114.7514.23603106031690.64499468338835314.6189742562948-0.513968939683149
2214.814.93670984386070.094938416330990414.56835173980830.136709843860707
2312.4510.3980841644522-0.015813387774056314.5177292233218-2.05191583554775
2412.659.858846643604750.91024170490903514.5309116514862-2.79115335639525
2517.3520.8272152613271-0.67130934097774514.54409407965063.47721526132712
268.63.87367845458384-1.3629895768929514.6893111223091-4.72632154541616
2718.421.75942943253920.20604240249320114.83452816496763.35942943253921
2816.117.6674285571075-0.49036445281102215.02293589570351.56742855710754
2911.67.107573365165370.8810830083952515.2113436264394-4.49242663483463
3017.7520.15984176124860.00012958549103899315.34002865326042.40984176124857
3115.2515.1585382224202-0.12725190250161115.4687136800814-0.0914617775798021
3217.6519.8701326002275-0.069701085849316115.49956848562192.22013260022745
3316.3516.52458202544930.64499468338835315.53042329116230.174582025449338
3417.6519.65968584612750.094938416330990415.54537573754152.00968584612749
3513.611.6554852038533-0.015813387774056315.5603281839207-1.94451479614666
3614.3512.23151278398840.91024170490903515.5582455111025-2.11848721601158
3714.7514.6151465026934-0.67130934097774515.5561628382844-0.134853497306615
3818.2522.335562183337-1.3629895768929515.52742739355594.08556218333703
399.94.095265648679310.20604240249320115.4986919488275-5.80473435132069
401616.9990025283285-0.49036445281102215.49136192448250.999002528328511
4118.2520.13488509146720.8810830083952515.48403190013751.88488509146721
4216.8518.18932437256630.00012958549103899315.51054604194271.33932437256628
4314.613.7901917187538-0.12725190250161115.5370601837478-0.809808281246207
4413.8512.1561977881464-0.069701085849316115.6135032977029-1.69380221185357
4518.9521.56505890495370.64499468338835315.68994641165792.6150589049537
4615.615.30621992234810.094938416330990415.7988416613209-0.293780077651926
4714.8513.8080764767901-0.015813387774056315.9077369109839-1.04192352320987
4811.756.658510178733580.91024170490903515.9312481163574-5.09148982126642
4918.4521.6165500192469-0.67130934097774515.95475932173083.16655001924691
5015.917.2294623852363-1.3629895768929515.93352719165671.3294623852363
5117.118.08166253592430.20604240249320115.91229506158250.981662535924331
5216.116.8520022292035-0.49036445281102215.83836222360750.752002229203475
5319.923.15448760597210.8810830083952515.76442938563263.25448760597212
5410.956.184830895268160.00012958549103899315.7150395192408-4.76516910473184
5518.4521.3616022496526-0.12725190250161115.6656496528492.91160224965263
5615.114.6845225971408-0.069701085849316115.5851784887086-0.415477402859237
571513.85029799204350.64499468338835315.5047073245681-1.14970200795648
5811.357.135528170240410.094938416330990415.4695334134286-4.21447182975959
5915.9516.481453885485-0.015813387774056315.43435950228910.531453885484984
6018.119.85495318482520.91024170490903515.43480511026581.7549531848252
6114.614.4360586227353-0.67130934097774515.4352507182425-0.163941377264717
6215.416.8350697006009-1.3629895768929515.32791987629211.43506970060088
6315.415.37336856316510.20604240249320115.2205890343417-0.0266314368349008
6417.620.5590698522491-0.49036445281102215.13129460056192.95906985224913
6513.3510.77691682482270.8810830083952515.0420001667821-2.57308317517733
6619.123.24607798696610.00012958549103899314.95379242754284.14607798696612
6715.3515.961667214198-0.12725190250161114.86558468830360.611667214198
687.60.446568126052539-0.069701085849316114.8231329597968-7.15343187394746
6913.411.37432408532170.64499468338835314.7806812312899-2.0256759146783
7013.913.02009053472780.094938416330990414.6849710489412-0.879909465272176
7119.123.6265525211816-0.015813387774056314.58926086659244.52655252118163
7215.2515.12574576421430.91024170490903514.4640125308767-0.124254235785733
7312.912.1325451458168-0.67130934097774514.338764195161-0.767454854183223
7416.119.3133519530125-1.3629895768929514.24963762388043.21335195301252
7517.3520.33344654490690.20604240249320114.16051105259992.98344654490691
7613.1512.7320334520518-0.49036445281102214.0583310007592-0.417966547948158
7712.159.462766042686280.8810830083952513.9561509489185-2.68723395731372
7812.611.35789372927480.00012958549103899313.8419766852341-1.24210627072515
7910.357.09944948095185-0.12725190250161113.7278024215498-3.25055051904815
8015.417.1297266711132-0.069701085849316113.73997441473611.72972667111325
819.64.802858908689270.64499468338835313.7521464079224-4.79714109131073
8218.222.33749488408730.094938416330990413.96756669958174.13749488408734
8313.613.0328263965331-0.015813387774056314.182986991241-0.567173603466902
8414.8514.3176265513030.91024170490903514.4721317437879-0.532373448696966
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Parameters (Session):
par1 = 5 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
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')