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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_decompose.wasp
Title produced by softwareClassical Decomposition
Date of computationMon, 29 Nov 2010 17:44:46 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/29/t1291052605hy6tijay97b38tk.htm/, Retrieved Mon, 29 Apr 2024 10:59:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=102984, Retrieved Mon, 29 Apr 2024 10:59:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact109

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Classical Decomposition] [HPC Retail Sales] [2008-03-02 16:19:32] [74be16979710d4c4e7c6647856088456]
-  M D    [Classical Decomposition] [] [2010-11-29 17:44:46] [6b31f806e9ccc1f74a26091056f791cb] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10665,78
10666,71
10682,74
10777,22
10052,60
10213,97
10546,82
10767,20
10444,50
10314,68
9042,56
9220,75
9721,84
9978,53
9923,81
9892,56
10500,98
10179,35
10080,48
9492,44
8616,49
8685,40
8160,67
8048,10
8641,21
8526,63
8474,21
7916,13
7977,64
8334,59
8623,36
9098,03
9154,34
9284,73
9492,49
9682,35
9762,12
10124,63
10540,05
10601,61
10323,73
10418,40
10092,96
10364,91
10152,09
10032,80
10204,59
10001,60
10411,75
10673,38
10539,51
10723,78
10682,06
10283,19
10377,18
10486,64
10545,38
10554,27
10532,54
10324,31
10695,25
10827,81
10872,48
10971,19
11145,65
11234,68
11333,88
10997,97
11036,89
11257,35
11533,59
11963,12
12185,15
12377,62
12512,89
12631,48
12268,53
12754,80
13407,75
13480,21
13673,28
13239,71
13557,69
13901,28
13200,58
13406,97
12538,12
12419,57
12193,88
12656,63
12812,48
12056,67
11322,38
11530,75
11114,08
9181,73
8614,55
8595,56
8396,20
7690,50
7235,47
7992,12
8398,37
8593,00
8679,75
9374,63
9634,97
9857,34
10238,83
10433,44
10471,24
10214,51
10677,52
11052,15
10500,19
10159,27
10222,24
10350,40
10598,07

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=102984&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=102984&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=102984&T=0

As an alternative you can also use a QR Code:  
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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
110665.78NANA-97.3884244791666NA
210666.71NANA84.9603776041668NA
310682.74NANA16.2432421875003NA
410777.22NANA-88.4755078125003NA
510052.6NANA-151.524882812500NA
610213.97NANA32.8015755208334NA
710546.8210429.510846354210243.63185.880846354168117.309153645832
810767.210286.870117187510175.625111.245117187500480.329882812501
910444.510047.694596354210115.32875-67.6341536458337396.805403645832
1010314.6810072.063658854210046.845833333325.2178255208323242.616341145835
119042.5610085.161523437510028.667556.4940234375006-1042.60152343750
129220.759938.087460937510045.9075-107.820039062500-717.3374609375
139721.849927.645742187510025.0341666667-97.3884244791666-205.805742187498
149978.5310037.44871093759952.4883333333384.9603776041668-58.9187109374998
159923.819839.44949218759823.2062516.243242187500384.3605078125001
169892.569590.67699218759679.1525-88.4755078125003301.883007812497
1710500.989422.995533854179574.52041666667-151.5248828125001077.98446614583
1810179.359521.716158854179488.9145833333332.8015755208334657.633841145835
1910080.489580.908763020839395.02791666667185.880846354168499.571236979165
209492.449400.750950520839289.50583333333111.24511718750091.6890494791678
218616.499100.975846354179168.61-67.6341536458337-484.485846354166
228685.49051.076575520839025.8587525.2178255208323-365.676575520834
238160.678894.862356770838838.3683333333356.4940234375006-734.192356770833
248048.18548.544127604178656.36416666667-107.820039062500-500.444127604166
258641.218421.397408854178518.78583333333-97.3884244791666219.812591145834
268526.638526.599127604178441.6387584.96037760416680.0308723958332848
278474.218463.858658854178447.6154166666716.243242187500310.3513411458334
287916.138406.522408854178494.99791666667-88.4755078125003-490.392408854165
297977.648423.93761718758575.4625-151.524882812500-446.297617187497
308334.598731.850325520838699.0487532.8015755208334-397.260325520832
318623.368999.72792968758813.84708333333185.880846354168-376.367929687502
329098.039038.38011718758927.135111.24511718750059.6498828125004
339154.349012.160846354179079.795-67.6341536458337142.179153645833
349284.739302.98449218759277.7666666666725.2178255208323-18.2544921875015
359492.499543.909440104179487.4154166666756.4940234375006-51.4194401041696
369682.359564.174544270839671.99458333333-107.820039062500118.175455729166
379762.129722.664908854179820.05333333333-97.388424479166639.4550911458336
3810124.6310019.03371093759934.0733333333384.9603776041668105.596289062498
3910540.0510044.676158854210028.432916666716.2432421875003495.373841145833
4010601.6110012.699908854210101.1754166667-88.4755078125003588.910091145835
4110323.7310010.490950520810162.0158333333-151.524882812500313.239049479169
4210418.410237.790325520810204.9887532.8015755208334180.609674479170
4310092.9610431.239596354210245.35875185.880846354168-338.279596354167
4410364.9110406.536367187510295.29125111.245117187500-41.6263671874985
4510152.0910250.499179687510318.1333333333-67.6341536458337-98.4091796875018
4610032.810348.419075520810323.2012525.2178255208323-315.619075520834
4710204.5910399.716106770810343.222083333356.4940234375006-195.126106770833
4810001.610244.698710937510352.51875-107.820039062500-243.098710937502
4910411.7510261.339075520810358.7275-97.3884244791666150.410924479165
5010673.3810460.602460937510375.642083333384.9603776041668212.777539062499
5110539.5110413.344492187510397.1012516.2432421875003126.165507812500
5210723.7810346.740742187510435.21625-88.4755078125003377.039257812499
5310682.0610319.083867187510470.60875-151.524882812500362.976132812499
5410283.1910530.521158854210497.719583333332.8015755208334-247.331158854167
5510377.1810708.859179687510522.9783333333185.880846354168-331.679179687499
5610486.6410652.470533854210541.2254166667111.245117187500-165.830533854165
5710545.3810493.899596354210561.53375-67.634153645833751.4804036458336
5810554.2710610.934075520810585.7162525.2178255208323-56.6640755208336
5910532.5410671.835273437510615.3412556.4940234375006-139.295273437499
6010324.3110566.482877604210674.3029166667-107.820039062500-242.172877604167
6110695.2510656.422408854210753.8108333333-97.388424479166638.8275911458331
6210827.8110899.939127604210814.9787584.9603776041668-72.1291276041666
6310872.4810873.006992187510856.7637516.2432421875003-0.526992187496944
6410971.1910818.062825520810906.5383333333-88.4755078125003153.127174479167
6511145.6510826.018867187510977.54375-151.524882812500319.631132812499
6611234.6811120.339492187511087.537916666732.8015755208334114.340507812502
6711333.8811403.781679687511217.9008333333185.880846354168-69.9016796875021
6810997.9711455.800533854211344.5554166667111.245117187500-457.830533854169
6911036.8911409.847096354211477.48125-67.6341536458337-372.957096354168
7011257.3511640.228242187511615.010416666725.2178255208323-382.8782421875
7111533.5911787.469856770811730.975833333356.4940234375006-253.879856770831
7211963.1211733.280794270811841.1008333333-107.820039062500229.839205729169
7312185.1511893.461992187511990.8504166667-97.3884244791666291.688007812500
7412377.6212265.648710937512180.688333333384.9603776041668111.971289062500
7512512.8912410.207825520812393.964583333316.2432421875003102.682174479169
7612631.4812497.936992187512586.4125-88.4755078125003133.543007812501
7712268.5312601.823450520812753.3483333333-151.524882812500-333.293450520832
7812754.812951.244075520812918.442532.8015755208334-196.444075520832
7913407.7513227.389596354213041.50875185.880846354168180.360403645833
8013480.2113237.953033854213126.7079166667111.245117187500242.256966145831
8113673.2813103.014596354213170.64875-67.6341536458337570.265403645833
8213239.7113188.088242187513162.870416666725.217825520832351.6217578124997
8313557.6913207.424440104213150.930416666756.4940234375006350.265559895834
8413901.2813035.909544270813143.7295833333-107.820039062500865.370455729166
8513200.5813017.447825520813114.83625-97.3884244791666183.132174479168
8613406.9713115.679544270813030.719166666784.9603776041668291.290455729166
8712538.1212889.694075520812873.450833333316.2432421875003-351.574075520834
8812419.5712615.814492187512704.29-88.4755078125003-196.244492187501
8912193.8812379.741367187512531.26625-151.524882812500-185.861367187501
9012656.6312265.602825520812232.8012532.8015755208334391.027174479168
9112812.4812030.949596354211845.06875185.880846354168781.530403645835
9212056.6711564.753867187511453.50875111.245117187500491.916132812501
9311322.3811012.819179687511080.4533333333-67.6341536458337309.560820312501
9411530.7510736.046575520810710.8287525.2178255208323794.70342447917
9511114.0810363.677773437510307.1837556.4940234375006750.402226562501
969181.739798.40871093759906.22875-107.820039062500-616.678710937502
978614.559430.56449218759527.95291666667-97.3884244791666-816.014492187502
988595.569284.67246093759199.7120833333384.9603776041668-689.1124609375
998396.28961.526158854178945.2829166666716.2432421875003-565.326158854166
1007690.58656.85949218758745.335-88.4755078125003-966.3594921875
1017235.478442.342200520838593.86708333333-151.524882812500-1206.87220052083
1027992.128593.18949218758560.3879166666732.8015755208334-601.0694921875
1038398.378842.097513020838656.21666666667185.880846354168-443.727513020833
10485938911.718450520838800.47333333333111.245117187500-318.718450520833
1058679.758895.877513020838963.51166666667-67.6341536458337-216.127513020834
1069374.639180.356575520839155.1387525.2178255208323194.273424479166
1079634.979460.218606770839403.7245833333356.4940234375006174.751393229166
1089857.349566.824544270839674.64458333333-107.820039062500290.515455729166
10910238.83NA9889.72166666667NANA
11010433.44NA10042.55875NANA
11110471.24NA10172.0904166667NANA
11210214.51NA10277.0179166667NANA
11310677.52NA10357.8041666667NANA
11411052.15NANANANA
11510500.19NANANANA
11610159.27NANANANA
11710222.24NANANANA
11810350.4NANANANA
11910598.07NANANANA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 10665.78 & NA & NA & -97.3884244791666 & NA \tabularnewline
2 & 10666.71 & NA & NA & 84.9603776041668 & NA \tabularnewline
3 & 10682.74 & NA & NA & 16.2432421875003 & NA \tabularnewline
4 & 10777.22 & NA & NA & -88.4755078125003 & NA \tabularnewline
5 & 10052.6 & NA & NA & -151.524882812500 & NA \tabularnewline
6 & 10213.97 & NA & NA & 32.8015755208334 & NA \tabularnewline
7 & 10546.82 & 10429.5108463542 & 10243.63 & 185.880846354168 & 117.309153645832 \tabularnewline
8 & 10767.2 & 10286.8701171875 & 10175.625 & 111.245117187500 & 480.329882812501 \tabularnewline
9 & 10444.5 & 10047.6945963542 & 10115.32875 & -67.6341536458337 & 396.805403645832 \tabularnewline
10 & 10314.68 & 10072.0636588542 & 10046.8458333333 & 25.2178255208323 & 242.616341145835 \tabularnewline
11 & 9042.56 & 10085.1615234375 & 10028.6675 & 56.4940234375006 & -1042.60152343750 \tabularnewline
12 & 9220.75 & 9938.0874609375 & 10045.9075 & -107.820039062500 & -717.3374609375 \tabularnewline
13 & 9721.84 & 9927.6457421875 & 10025.0341666667 & -97.3884244791666 & -205.805742187498 \tabularnewline
14 & 9978.53 & 10037.4487109375 & 9952.48833333333 & 84.9603776041668 & -58.9187109374998 \tabularnewline
15 & 9923.81 & 9839.4494921875 & 9823.20625 & 16.2432421875003 & 84.3605078125001 \tabularnewline
16 & 9892.56 & 9590.6769921875 & 9679.1525 & -88.4755078125003 & 301.883007812497 \tabularnewline
17 & 10500.98 & 9422.99553385417 & 9574.52041666667 & -151.524882812500 & 1077.98446614583 \tabularnewline
18 & 10179.35 & 9521.71615885417 & 9488.91458333333 & 32.8015755208334 & 657.633841145835 \tabularnewline
19 & 10080.48 & 9580.90876302083 & 9395.02791666667 & 185.880846354168 & 499.571236979165 \tabularnewline
20 & 9492.44 & 9400.75095052083 & 9289.50583333333 & 111.245117187500 & 91.6890494791678 \tabularnewline
21 & 8616.49 & 9100.97584635417 & 9168.61 & -67.6341536458337 & -484.485846354166 \tabularnewline
22 & 8685.4 & 9051.07657552083 & 9025.85875 & 25.2178255208323 & -365.676575520834 \tabularnewline
23 & 8160.67 & 8894.86235677083 & 8838.36833333333 & 56.4940234375006 & -734.192356770833 \tabularnewline
24 & 8048.1 & 8548.54412760417 & 8656.36416666667 & -107.820039062500 & -500.444127604166 \tabularnewline
25 & 8641.21 & 8421.39740885417 & 8518.78583333333 & -97.3884244791666 & 219.812591145834 \tabularnewline
26 & 8526.63 & 8526.59912760417 & 8441.63875 & 84.9603776041668 & 0.0308723958332848 \tabularnewline
27 & 8474.21 & 8463.85865885417 & 8447.61541666667 & 16.2432421875003 & 10.3513411458334 \tabularnewline
28 & 7916.13 & 8406.52240885417 & 8494.99791666667 & -88.4755078125003 & -490.392408854165 \tabularnewline
29 & 7977.64 & 8423.9376171875 & 8575.4625 & -151.524882812500 & -446.297617187497 \tabularnewline
30 & 8334.59 & 8731.85032552083 & 8699.04875 & 32.8015755208334 & -397.260325520832 \tabularnewline
31 & 8623.36 & 8999.7279296875 & 8813.84708333333 & 185.880846354168 & -376.367929687502 \tabularnewline
32 & 9098.03 & 9038.3801171875 & 8927.135 & 111.245117187500 & 59.6498828125004 \tabularnewline
33 & 9154.34 & 9012.16084635417 & 9079.795 & -67.6341536458337 & 142.179153645833 \tabularnewline
34 & 9284.73 & 9302.9844921875 & 9277.76666666667 & 25.2178255208323 & -18.2544921875015 \tabularnewline
35 & 9492.49 & 9543.90944010417 & 9487.41541666667 & 56.4940234375006 & -51.4194401041696 \tabularnewline
36 & 9682.35 & 9564.17454427083 & 9671.99458333333 & -107.820039062500 & 118.175455729166 \tabularnewline
37 & 9762.12 & 9722.66490885417 & 9820.05333333333 & -97.3884244791666 & 39.4550911458336 \tabularnewline
38 & 10124.63 & 10019.0337109375 & 9934.07333333333 & 84.9603776041668 & 105.596289062498 \tabularnewline
39 & 10540.05 & 10044.6761588542 & 10028.4329166667 & 16.2432421875003 & 495.373841145833 \tabularnewline
40 & 10601.61 & 10012.6999088542 & 10101.1754166667 & -88.4755078125003 & 588.910091145835 \tabularnewline
41 & 10323.73 & 10010.4909505208 & 10162.0158333333 & -151.524882812500 & 313.239049479169 \tabularnewline
42 & 10418.4 & 10237.7903255208 & 10204.98875 & 32.8015755208334 & 180.609674479170 \tabularnewline
43 & 10092.96 & 10431.2395963542 & 10245.35875 & 185.880846354168 & -338.279596354167 \tabularnewline
44 & 10364.91 & 10406.5363671875 & 10295.29125 & 111.245117187500 & -41.6263671874985 \tabularnewline
45 & 10152.09 & 10250.4991796875 & 10318.1333333333 & -67.6341536458337 & -98.4091796875018 \tabularnewline
46 & 10032.8 & 10348.4190755208 & 10323.20125 & 25.2178255208323 & -315.619075520834 \tabularnewline
47 & 10204.59 & 10399.7161067708 & 10343.2220833333 & 56.4940234375006 & -195.126106770833 \tabularnewline
48 & 10001.6 & 10244.6987109375 & 10352.51875 & -107.820039062500 & -243.098710937502 \tabularnewline
49 & 10411.75 & 10261.3390755208 & 10358.7275 & -97.3884244791666 & 150.410924479165 \tabularnewline
50 & 10673.38 & 10460.6024609375 & 10375.6420833333 & 84.9603776041668 & 212.777539062499 \tabularnewline
51 & 10539.51 & 10413.3444921875 & 10397.10125 & 16.2432421875003 & 126.165507812500 \tabularnewline
52 & 10723.78 & 10346.7407421875 & 10435.21625 & -88.4755078125003 & 377.039257812499 \tabularnewline
53 & 10682.06 & 10319.0838671875 & 10470.60875 & -151.524882812500 & 362.976132812499 \tabularnewline
54 & 10283.19 & 10530.5211588542 & 10497.7195833333 & 32.8015755208334 & -247.331158854167 \tabularnewline
55 & 10377.18 & 10708.8591796875 & 10522.9783333333 & 185.880846354168 & -331.679179687499 \tabularnewline
56 & 10486.64 & 10652.4705338542 & 10541.2254166667 & 111.245117187500 & -165.830533854165 \tabularnewline
57 & 10545.38 & 10493.8995963542 & 10561.53375 & -67.6341536458337 & 51.4804036458336 \tabularnewline
58 & 10554.27 & 10610.9340755208 & 10585.71625 & 25.2178255208323 & -56.6640755208336 \tabularnewline
59 & 10532.54 & 10671.8352734375 & 10615.34125 & 56.4940234375006 & -139.295273437499 \tabularnewline
60 & 10324.31 & 10566.4828776042 & 10674.3029166667 & -107.820039062500 & -242.172877604167 \tabularnewline
61 & 10695.25 & 10656.4224088542 & 10753.8108333333 & -97.3884244791666 & 38.8275911458331 \tabularnewline
62 & 10827.81 & 10899.9391276042 & 10814.97875 & 84.9603776041668 & -72.1291276041666 \tabularnewline
63 & 10872.48 & 10873.0069921875 & 10856.76375 & 16.2432421875003 & -0.526992187496944 \tabularnewline
64 & 10971.19 & 10818.0628255208 & 10906.5383333333 & -88.4755078125003 & 153.127174479167 \tabularnewline
65 & 11145.65 & 10826.0188671875 & 10977.54375 & -151.524882812500 & 319.631132812499 \tabularnewline
66 & 11234.68 & 11120.3394921875 & 11087.5379166667 & 32.8015755208334 & 114.340507812502 \tabularnewline
67 & 11333.88 & 11403.7816796875 & 11217.9008333333 & 185.880846354168 & -69.9016796875021 \tabularnewline
68 & 10997.97 & 11455.8005338542 & 11344.5554166667 & 111.245117187500 & -457.830533854169 \tabularnewline
69 & 11036.89 & 11409.8470963542 & 11477.48125 & -67.6341536458337 & -372.957096354168 \tabularnewline
70 & 11257.35 & 11640.2282421875 & 11615.0104166667 & 25.2178255208323 & -382.8782421875 \tabularnewline
71 & 11533.59 & 11787.4698567708 & 11730.9758333333 & 56.4940234375006 & -253.879856770831 \tabularnewline
72 & 11963.12 & 11733.2807942708 & 11841.1008333333 & -107.820039062500 & 229.839205729169 \tabularnewline
73 & 12185.15 & 11893.4619921875 & 11990.8504166667 & -97.3884244791666 & 291.688007812500 \tabularnewline
74 & 12377.62 & 12265.6487109375 & 12180.6883333333 & 84.9603776041668 & 111.971289062500 \tabularnewline
75 & 12512.89 & 12410.2078255208 & 12393.9645833333 & 16.2432421875003 & 102.682174479169 \tabularnewline
76 & 12631.48 & 12497.9369921875 & 12586.4125 & -88.4755078125003 & 133.543007812501 \tabularnewline
77 & 12268.53 & 12601.8234505208 & 12753.3483333333 & -151.524882812500 & -333.293450520832 \tabularnewline
78 & 12754.8 & 12951.2440755208 & 12918.4425 & 32.8015755208334 & -196.444075520832 \tabularnewline
79 & 13407.75 & 13227.3895963542 & 13041.50875 & 185.880846354168 & 180.360403645833 \tabularnewline
80 & 13480.21 & 13237.9530338542 & 13126.7079166667 & 111.245117187500 & 242.256966145831 \tabularnewline
81 & 13673.28 & 13103.0145963542 & 13170.64875 & -67.6341536458337 & 570.265403645833 \tabularnewline
82 & 13239.71 & 13188.0882421875 & 13162.8704166667 & 25.2178255208323 & 51.6217578124997 \tabularnewline
83 & 13557.69 & 13207.4244401042 & 13150.9304166667 & 56.4940234375006 & 350.265559895834 \tabularnewline
84 & 13901.28 & 13035.9095442708 & 13143.7295833333 & -107.820039062500 & 865.370455729166 \tabularnewline
85 & 13200.58 & 13017.4478255208 & 13114.83625 & -97.3884244791666 & 183.132174479168 \tabularnewline
86 & 13406.97 & 13115.6795442708 & 13030.7191666667 & 84.9603776041668 & 291.290455729166 \tabularnewline
87 & 12538.12 & 12889.6940755208 & 12873.4508333333 & 16.2432421875003 & -351.574075520834 \tabularnewline
88 & 12419.57 & 12615.8144921875 & 12704.29 & -88.4755078125003 & -196.244492187501 \tabularnewline
89 & 12193.88 & 12379.7413671875 & 12531.26625 & -151.524882812500 & -185.861367187501 \tabularnewline
90 & 12656.63 & 12265.6028255208 & 12232.80125 & 32.8015755208334 & 391.027174479168 \tabularnewline
91 & 12812.48 & 12030.9495963542 & 11845.06875 & 185.880846354168 & 781.530403645835 \tabularnewline
92 & 12056.67 & 11564.7538671875 & 11453.50875 & 111.245117187500 & 491.916132812501 \tabularnewline
93 & 11322.38 & 11012.8191796875 & 11080.4533333333 & -67.6341536458337 & 309.560820312501 \tabularnewline
94 & 11530.75 & 10736.0465755208 & 10710.82875 & 25.2178255208323 & 794.70342447917 \tabularnewline
95 & 11114.08 & 10363.6777734375 & 10307.18375 & 56.4940234375006 & 750.402226562501 \tabularnewline
96 & 9181.73 & 9798.4087109375 & 9906.22875 & -107.820039062500 & -616.678710937502 \tabularnewline
97 & 8614.55 & 9430.5644921875 & 9527.95291666667 & -97.3884244791666 & -816.014492187502 \tabularnewline
98 & 8595.56 & 9284.6724609375 & 9199.71208333333 & 84.9603776041668 & -689.1124609375 \tabularnewline
99 & 8396.2 & 8961.52615885417 & 8945.28291666667 & 16.2432421875003 & -565.326158854166 \tabularnewline
100 & 7690.5 & 8656.8594921875 & 8745.335 & -88.4755078125003 & -966.3594921875 \tabularnewline
101 & 7235.47 & 8442.34220052083 & 8593.86708333333 & -151.524882812500 & -1206.87220052083 \tabularnewline
102 & 7992.12 & 8593.1894921875 & 8560.38791666667 & 32.8015755208334 & -601.0694921875 \tabularnewline
103 & 8398.37 & 8842.09751302083 & 8656.21666666667 & 185.880846354168 & -443.727513020833 \tabularnewline
104 & 8593 & 8911.71845052083 & 8800.47333333333 & 111.245117187500 & -318.718450520833 \tabularnewline
105 & 8679.75 & 8895.87751302083 & 8963.51166666667 & -67.6341536458337 & -216.127513020834 \tabularnewline
106 & 9374.63 & 9180.35657552083 & 9155.13875 & 25.2178255208323 & 194.273424479166 \tabularnewline
107 & 9634.97 & 9460.21860677083 & 9403.72458333333 & 56.4940234375006 & 174.751393229166 \tabularnewline
108 & 9857.34 & 9566.82454427083 & 9674.64458333333 & -107.820039062500 & 290.515455729166 \tabularnewline
109 & 10238.83 & NA & 9889.72166666667 & NA & NA \tabularnewline
110 & 10433.44 & NA & 10042.55875 & NA & NA \tabularnewline
111 & 10471.24 & NA & 10172.0904166667 & NA & NA \tabularnewline
112 & 10214.51 & NA & 10277.0179166667 & NA & NA \tabularnewline
113 & 10677.52 & NA & 10357.8041666667 & NA & NA \tabularnewline
114 & 11052.15 & NA & NA & NA & NA \tabularnewline
115 & 10500.19 & NA & NA & NA & NA \tabularnewline
116 & 10159.27 & NA & NA & NA & NA \tabularnewline
117 & 10222.24 & NA & NA & NA & NA \tabularnewline
118 & 10350.4 & NA & NA & NA & NA \tabularnewline
119 & 10598.07 & NA & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=102984&T=1

[TABLE]
[ROW][C]Classical Decomposition by Moving Averages[/C][/ROW]
[ROW][C]t[/C][C]Observations[/C][C]Fit[/C][C]Trend[/C][C]Seasonal[/C][C]Random[/C][/ROW]
[ROW][C]1[/C][C]10665.78[/C][C]NA[/C][C]NA[/C][C]-97.3884244791666[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]10666.71[/C][C]NA[/C][C]NA[/C][C]84.9603776041668[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]10682.74[/C][C]NA[/C][C]NA[/C][C]16.2432421875003[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]10777.22[/C][C]NA[/C][C]NA[/C][C]-88.4755078125003[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]10052.6[/C][C]NA[/C][C]NA[/C][C]-151.524882812500[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]10213.97[/C][C]NA[/C][C]NA[/C][C]32.8015755208334[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]10546.82[/C][C]10429.5108463542[/C][C]10243.63[/C][C]185.880846354168[/C][C]117.309153645832[/C][/ROW]
[ROW][C]8[/C][C]10767.2[/C][C]10286.8701171875[/C][C]10175.625[/C][C]111.245117187500[/C][C]480.329882812501[/C][/ROW]
[ROW][C]9[/C][C]10444.5[/C][C]10047.6945963542[/C][C]10115.32875[/C][C]-67.6341536458337[/C][C]396.805403645832[/C][/ROW]
[ROW][C]10[/C][C]10314.68[/C][C]10072.0636588542[/C][C]10046.8458333333[/C][C]25.2178255208323[/C][C]242.616341145835[/C][/ROW]
[ROW][C]11[/C][C]9042.56[/C][C]10085.1615234375[/C][C]10028.6675[/C][C]56.4940234375006[/C][C]-1042.60152343750[/C][/ROW]
[ROW][C]12[/C][C]9220.75[/C][C]9938.0874609375[/C][C]10045.9075[/C][C]-107.820039062500[/C][C]-717.3374609375[/C][/ROW]
[ROW][C]13[/C][C]9721.84[/C][C]9927.6457421875[/C][C]10025.0341666667[/C][C]-97.3884244791666[/C][C]-205.805742187498[/C][/ROW]
[ROW][C]14[/C][C]9978.53[/C][C]10037.4487109375[/C][C]9952.48833333333[/C][C]84.9603776041668[/C][C]-58.9187109374998[/C][/ROW]
[ROW][C]15[/C][C]9923.81[/C][C]9839.4494921875[/C][C]9823.20625[/C][C]16.2432421875003[/C][C]84.3605078125001[/C][/ROW]
[ROW][C]16[/C][C]9892.56[/C][C]9590.6769921875[/C][C]9679.1525[/C][C]-88.4755078125003[/C][C]301.883007812497[/C][/ROW]
[ROW][C]17[/C][C]10500.98[/C][C]9422.99553385417[/C][C]9574.52041666667[/C][C]-151.524882812500[/C][C]1077.98446614583[/C][/ROW]
[ROW][C]18[/C][C]10179.35[/C][C]9521.71615885417[/C][C]9488.91458333333[/C][C]32.8015755208334[/C][C]657.633841145835[/C][/ROW]
[ROW][C]19[/C][C]10080.48[/C][C]9580.90876302083[/C][C]9395.02791666667[/C][C]185.880846354168[/C][C]499.571236979165[/C][/ROW]
[ROW][C]20[/C][C]9492.44[/C][C]9400.75095052083[/C][C]9289.50583333333[/C][C]111.245117187500[/C][C]91.6890494791678[/C][/ROW]
[ROW][C]21[/C][C]8616.49[/C][C]9100.97584635417[/C][C]9168.61[/C][C]-67.6341536458337[/C][C]-484.485846354166[/C][/ROW]
[ROW][C]22[/C][C]8685.4[/C][C]9051.07657552083[/C][C]9025.85875[/C][C]25.2178255208323[/C][C]-365.676575520834[/C][/ROW]
[ROW][C]23[/C][C]8160.67[/C][C]8894.86235677083[/C][C]8838.36833333333[/C][C]56.4940234375006[/C][C]-734.192356770833[/C][/ROW]
[ROW][C]24[/C][C]8048.1[/C][C]8548.54412760417[/C][C]8656.36416666667[/C][C]-107.820039062500[/C][C]-500.444127604166[/C][/ROW]
[ROW][C]25[/C][C]8641.21[/C][C]8421.39740885417[/C][C]8518.78583333333[/C][C]-97.3884244791666[/C][C]219.812591145834[/C][/ROW]
[ROW][C]26[/C][C]8526.63[/C][C]8526.59912760417[/C][C]8441.63875[/C][C]84.9603776041668[/C][C]0.0308723958332848[/C][/ROW]
[ROW][C]27[/C][C]8474.21[/C][C]8463.85865885417[/C][C]8447.61541666667[/C][C]16.2432421875003[/C][C]10.3513411458334[/C][/ROW]
[ROW][C]28[/C][C]7916.13[/C][C]8406.52240885417[/C][C]8494.99791666667[/C][C]-88.4755078125003[/C][C]-490.392408854165[/C][/ROW]
[ROW][C]29[/C][C]7977.64[/C][C]8423.9376171875[/C][C]8575.4625[/C][C]-151.524882812500[/C][C]-446.297617187497[/C][/ROW]
[ROW][C]30[/C][C]8334.59[/C][C]8731.85032552083[/C][C]8699.04875[/C][C]32.8015755208334[/C][C]-397.260325520832[/C][/ROW]
[ROW][C]31[/C][C]8623.36[/C][C]8999.7279296875[/C][C]8813.84708333333[/C][C]185.880846354168[/C][C]-376.367929687502[/C][/ROW]
[ROW][C]32[/C][C]9098.03[/C][C]9038.3801171875[/C][C]8927.135[/C][C]111.245117187500[/C][C]59.6498828125004[/C][/ROW]
[ROW][C]33[/C][C]9154.34[/C][C]9012.16084635417[/C][C]9079.795[/C][C]-67.6341536458337[/C][C]142.179153645833[/C][/ROW]
[ROW][C]34[/C][C]9284.73[/C][C]9302.9844921875[/C][C]9277.76666666667[/C][C]25.2178255208323[/C][C]-18.2544921875015[/C][/ROW]
[ROW][C]35[/C][C]9492.49[/C][C]9543.90944010417[/C][C]9487.41541666667[/C][C]56.4940234375006[/C][C]-51.4194401041696[/C][/ROW]
[ROW][C]36[/C][C]9682.35[/C][C]9564.17454427083[/C][C]9671.99458333333[/C][C]-107.820039062500[/C][C]118.175455729166[/C][/ROW]
[ROW][C]37[/C][C]9762.12[/C][C]9722.66490885417[/C][C]9820.05333333333[/C][C]-97.3884244791666[/C][C]39.4550911458336[/C][/ROW]
[ROW][C]38[/C][C]10124.63[/C][C]10019.0337109375[/C][C]9934.07333333333[/C][C]84.9603776041668[/C][C]105.596289062498[/C][/ROW]
[ROW][C]39[/C][C]10540.05[/C][C]10044.6761588542[/C][C]10028.4329166667[/C][C]16.2432421875003[/C][C]495.373841145833[/C][/ROW]
[ROW][C]40[/C][C]10601.61[/C][C]10012.6999088542[/C][C]10101.1754166667[/C][C]-88.4755078125003[/C][C]588.910091145835[/C][/ROW]
[ROW][C]41[/C][C]10323.73[/C][C]10010.4909505208[/C][C]10162.0158333333[/C][C]-151.524882812500[/C][C]313.239049479169[/C][/ROW]
[ROW][C]42[/C][C]10418.4[/C][C]10237.7903255208[/C][C]10204.98875[/C][C]32.8015755208334[/C][C]180.609674479170[/C][/ROW]
[ROW][C]43[/C][C]10092.96[/C][C]10431.2395963542[/C][C]10245.35875[/C][C]185.880846354168[/C][C]-338.279596354167[/C][/ROW]
[ROW][C]44[/C][C]10364.91[/C][C]10406.5363671875[/C][C]10295.29125[/C][C]111.245117187500[/C][C]-41.6263671874985[/C][/ROW]
[ROW][C]45[/C][C]10152.09[/C][C]10250.4991796875[/C][C]10318.1333333333[/C][C]-67.6341536458337[/C][C]-98.4091796875018[/C][/ROW]
[ROW][C]46[/C][C]10032.8[/C][C]10348.4190755208[/C][C]10323.20125[/C][C]25.2178255208323[/C][C]-315.619075520834[/C][/ROW]
[ROW][C]47[/C][C]10204.59[/C][C]10399.7161067708[/C][C]10343.2220833333[/C][C]56.4940234375006[/C][C]-195.126106770833[/C][/ROW]
[ROW][C]48[/C][C]10001.6[/C][C]10244.6987109375[/C][C]10352.51875[/C][C]-107.820039062500[/C][C]-243.098710937502[/C][/ROW]
[ROW][C]49[/C][C]10411.75[/C][C]10261.3390755208[/C][C]10358.7275[/C][C]-97.3884244791666[/C][C]150.410924479165[/C][/ROW]
[ROW][C]50[/C][C]10673.38[/C][C]10460.6024609375[/C][C]10375.6420833333[/C][C]84.9603776041668[/C][C]212.777539062499[/C][/ROW]
[ROW][C]51[/C][C]10539.51[/C][C]10413.3444921875[/C][C]10397.10125[/C][C]16.2432421875003[/C][C]126.165507812500[/C][/ROW]
[ROW][C]52[/C][C]10723.78[/C][C]10346.7407421875[/C][C]10435.21625[/C][C]-88.4755078125003[/C][C]377.039257812499[/C][/ROW]
[ROW][C]53[/C][C]10682.06[/C][C]10319.0838671875[/C][C]10470.60875[/C][C]-151.524882812500[/C][C]362.976132812499[/C][/ROW]
[ROW][C]54[/C][C]10283.19[/C][C]10530.5211588542[/C][C]10497.7195833333[/C][C]32.8015755208334[/C][C]-247.331158854167[/C][/ROW]
[ROW][C]55[/C][C]10377.18[/C][C]10708.8591796875[/C][C]10522.9783333333[/C][C]185.880846354168[/C][C]-331.679179687499[/C][/ROW]
[ROW][C]56[/C][C]10486.64[/C][C]10652.4705338542[/C][C]10541.2254166667[/C][C]111.245117187500[/C][C]-165.830533854165[/C][/ROW]
[ROW][C]57[/C][C]10545.38[/C][C]10493.8995963542[/C][C]10561.53375[/C][C]-67.6341536458337[/C][C]51.4804036458336[/C][/ROW]
[ROW][C]58[/C][C]10554.27[/C][C]10610.9340755208[/C][C]10585.71625[/C][C]25.2178255208323[/C][C]-56.6640755208336[/C][/ROW]
[ROW][C]59[/C][C]10532.54[/C][C]10671.8352734375[/C][C]10615.34125[/C][C]56.4940234375006[/C][C]-139.295273437499[/C][/ROW]
[ROW][C]60[/C][C]10324.31[/C][C]10566.4828776042[/C][C]10674.3029166667[/C][C]-107.820039062500[/C][C]-242.172877604167[/C][/ROW]
[ROW][C]61[/C][C]10695.25[/C][C]10656.4224088542[/C][C]10753.8108333333[/C][C]-97.3884244791666[/C][C]38.8275911458331[/C][/ROW]
[ROW][C]62[/C][C]10827.81[/C][C]10899.9391276042[/C][C]10814.97875[/C][C]84.9603776041668[/C][C]-72.1291276041666[/C][/ROW]
[ROW][C]63[/C][C]10872.48[/C][C]10873.0069921875[/C][C]10856.76375[/C][C]16.2432421875003[/C][C]-0.526992187496944[/C][/ROW]
[ROW][C]64[/C][C]10971.19[/C][C]10818.0628255208[/C][C]10906.5383333333[/C][C]-88.4755078125003[/C][C]153.127174479167[/C][/ROW]
[ROW][C]65[/C][C]11145.65[/C][C]10826.0188671875[/C][C]10977.54375[/C][C]-151.524882812500[/C][C]319.631132812499[/C][/ROW]
[ROW][C]66[/C][C]11234.68[/C][C]11120.3394921875[/C][C]11087.5379166667[/C][C]32.8015755208334[/C][C]114.340507812502[/C][/ROW]
[ROW][C]67[/C][C]11333.88[/C][C]11403.7816796875[/C][C]11217.9008333333[/C][C]185.880846354168[/C][C]-69.9016796875021[/C][/ROW]
[ROW][C]68[/C][C]10997.97[/C][C]11455.8005338542[/C][C]11344.5554166667[/C][C]111.245117187500[/C][C]-457.830533854169[/C][/ROW]
[ROW][C]69[/C][C]11036.89[/C][C]11409.8470963542[/C][C]11477.48125[/C][C]-67.6341536458337[/C][C]-372.957096354168[/C][/ROW]
[ROW][C]70[/C][C]11257.35[/C][C]11640.2282421875[/C][C]11615.0104166667[/C][C]25.2178255208323[/C][C]-382.8782421875[/C][/ROW]
[ROW][C]71[/C][C]11533.59[/C][C]11787.4698567708[/C][C]11730.9758333333[/C][C]56.4940234375006[/C][C]-253.879856770831[/C][/ROW]
[ROW][C]72[/C][C]11963.12[/C][C]11733.2807942708[/C][C]11841.1008333333[/C][C]-107.820039062500[/C][C]229.839205729169[/C][/ROW]
[ROW][C]73[/C][C]12185.15[/C][C]11893.4619921875[/C][C]11990.8504166667[/C][C]-97.3884244791666[/C][C]291.688007812500[/C][/ROW]
[ROW][C]74[/C][C]12377.62[/C][C]12265.6487109375[/C][C]12180.6883333333[/C][C]84.9603776041668[/C][C]111.971289062500[/C][/ROW]
[ROW][C]75[/C][C]12512.89[/C][C]12410.2078255208[/C][C]12393.9645833333[/C][C]16.2432421875003[/C][C]102.682174479169[/C][/ROW]
[ROW][C]76[/C][C]12631.48[/C][C]12497.9369921875[/C][C]12586.4125[/C][C]-88.4755078125003[/C][C]133.543007812501[/C][/ROW]
[ROW][C]77[/C][C]12268.53[/C][C]12601.8234505208[/C][C]12753.3483333333[/C][C]-151.524882812500[/C][C]-333.293450520832[/C][/ROW]
[ROW][C]78[/C][C]12754.8[/C][C]12951.2440755208[/C][C]12918.4425[/C][C]32.8015755208334[/C][C]-196.444075520832[/C][/ROW]
[ROW][C]79[/C][C]13407.75[/C][C]13227.3895963542[/C][C]13041.50875[/C][C]185.880846354168[/C][C]180.360403645833[/C][/ROW]
[ROW][C]80[/C][C]13480.21[/C][C]13237.9530338542[/C][C]13126.7079166667[/C][C]111.245117187500[/C][C]242.256966145831[/C][/ROW]
[ROW][C]81[/C][C]13673.28[/C][C]13103.0145963542[/C][C]13170.64875[/C][C]-67.6341536458337[/C][C]570.265403645833[/C][/ROW]
[ROW][C]82[/C][C]13239.71[/C][C]13188.0882421875[/C][C]13162.8704166667[/C][C]25.2178255208323[/C][C]51.6217578124997[/C][/ROW]
[ROW][C]83[/C][C]13557.69[/C][C]13207.4244401042[/C][C]13150.9304166667[/C][C]56.4940234375006[/C][C]350.265559895834[/C][/ROW]
[ROW][C]84[/C][C]13901.28[/C][C]13035.9095442708[/C][C]13143.7295833333[/C][C]-107.820039062500[/C][C]865.370455729166[/C][/ROW]
[ROW][C]85[/C][C]13200.58[/C][C]13017.4478255208[/C][C]13114.83625[/C][C]-97.3884244791666[/C][C]183.132174479168[/C][/ROW]
[ROW][C]86[/C][C]13406.97[/C][C]13115.6795442708[/C][C]13030.7191666667[/C][C]84.9603776041668[/C][C]291.290455729166[/C][/ROW]
[ROW][C]87[/C][C]12538.12[/C][C]12889.6940755208[/C][C]12873.4508333333[/C][C]16.2432421875003[/C][C]-351.574075520834[/C][/ROW]
[ROW][C]88[/C][C]12419.57[/C][C]12615.8144921875[/C][C]12704.29[/C][C]-88.4755078125003[/C][C]-196.244492187501[/C][/ROW]
[ROW][C]89[/C][C]12193.88[/C][C]12379.7413671875[/C][C]12531.26625[/C][C]-151.524882812500[/C][C]-185.861367187501[/C][/ROW]
[ROW][C]90[/C][C]12656.63[/C][C]12265.6028255208[/C][C]12232.80125[/C][C]32.8015755208334[/C][C]391.027174479168[/C][/ROW]
[ROW][C]91[/C][C]12812.48[/C][C]12030.9495963542[/C][C]11845.06875[/C][C]185.880846354168[/C][C]781.530403645835[/C][/ROW]
[ROW][C]92[/C][C]12056.67[/C][C]11564.7538671875[/C][C]11453.50875[/C][C]111.245117187500[/C][C]491.916132812501[/C][/ROW]
[ROW][C]93[/C][C]11322.38[/C][C]11012.8191796875[/C][C]11080.4533333333[/C][C]-67.6341536458337[/C][C]309.560820312501[/C][/ROW]
[ROW][C]94[/C][C]11530.75[/C][C]10736.0465755208[/C][C]10710.82875[/C][C]25.2178255208323[/C][C]794.70342447917[/C][/ROW]
[ROW][C]95[/C][C]11114.08[/C][C]10363.6777734375[/C][C]10307.18375[/C][C]56.4940234375006[/C][C]750.402226562501[/C][/ROW]
[ROW][C]96[/C][C]9181.73[/C][C]9798.4087109375[/C][C]9906.22875[/C][C]-107.820039062500[/C][C]-616.678710937502[/C][/ROW]
[ROW][C]97[/C][C]8614.55[/C][C]9430.5644921875[/C][C]9527.95291666667[/C][C]-97.3884244791666[/C][C]-816.014492187502[/C][/ROW]
[ROW][C]98[/C][C]8595.56[/C][C]9284.6724609375[/C][C]9199.71208333333[/C][C]84.9603776041668[/C][C]-689.1124609375[/C][/ROW]
[ROW][C]99[/C][C]8396.2[/C][C]8961.52615885417[/C][C]8945.28291666667[/C][C]16.2432421875003[/C][C]-565.326158854166[/C][/ROW]
[ROW][C]100[/C][C]7690.5[/C][C]8656.8594921875[/C][C]8745.335[/C][C]-88.4755078125003[/C][C]-966.3594921875[/C][/ROW]
[ROW][C]101[/C][C]7235.47[/C][C]8442.34220052083[/C][C]8593.86708333333[/C][C]-151.524882812500[/C][C]-1206.87220052083[/C][/ROW]
[ROW][C]102[/C][C]7992.12[/C][C]8593.1894921875[/C][C]8560.38791666667[/C][C]32.8015755208334[/C][C]-601.0694921875[/C][/ROW]
[ROW][C]103[/C][C]8398.37[/C][C]8842.09751302083[/C][C]8656.21666666667[/C][C]185.880846354168[/C][C]-443.727513020833[/C][/ROW]
[ROW][C]104[/C][C]8593[/C][C]8911.71845052083[/C][C]8800.47333333333[/C][C]111.245117187500[/C][C]-318.718450520833[/C][/ROW]
[ROW][C]105[/C][C]8679.75[/C][C]8895.87751302083[/C][C]8963.51166666667[/C][C]-67.6341536458337[/C][C]-216.127513020834[/C][/ROW]
[ROW][C]106[/C][C]9374.63[/C][C]9180.35657552083[/C][C]9155.13875[/C][C]25.2178255208323[/C][C]194.273424479166[/C][/ROW]
[ROW][C]107[/C][C]9634.97[/C][C]9460.21860677083[/C][C]9403.72458333333[/C][C]56.4940234375006[/C][C]174.751393229166[/C][/ROW]
[ROW][C]108[/C][C]9857.34[/C][C]9566.82454427083[/C][C]9674.64458333333[/C][C]-107.820039062500[/C][C]290.515455729166[/C][/ROW]
[ROW][C]109[/C][C]10238.83[/C][C]NA[/C][C]9889.72166666667[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]110[/C][C]10433.44[/C][C]NA[/C][C]10042.55875[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]111[/C][C]10471.24[/C][C]NA[/C][C]10172.0904166667[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]112[/C][C]10214.51[/C][C]NA[/C][C]10277.0179166667[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]113[/C][C]10677.52[/C][C]NA[/C][C]10357.8041666667[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]114[/C][C]11052.15[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]115[/C][C]10500.19[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]116[/C][C]10159.27[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]117[/C][C]10222.24[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]118[/C][C]10350.4[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]119[/C][C]10598.07[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=102984&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=102984&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
110665.78NANA-97.3884244791666NA
210666.71NANA84.9603776041668NA
310682.74NANA16.2432421875003NA
410777.22NANA-88.4755078125003NA
510052.6NANA-151.524882812500NA
610213.97NANA32.8015755208334NA
710546.8210429.510846354210243.63185.880846354168117.309153645832
810767.210286.870117187510175.625111.245117187500480.329882812501
910444.510047.694596354210115.32875-67.6341536458337396.805403645832
1010314.6810072.063658854210046.845833333325.2178255208323242.616341145835
119042.5610085.161523437510028.667556.4940234375006-1042.60152343750
129220.759938.087460937510045.9075-107.820039062500-717.3374609375
139721.849927.645742187510025.0341666667-97.3884244791666-205.805742187498
149978.5310037.44871093759952.4883333333384.9603776041668-58.9187109374998
159923.819839.44949218759823.2062516.243242187500384.3605078125001
169892.569590.67699218759679.1525-88.4755078125003301.883007812497
1710500.989422.995533854179574.52041666667-151.5248828125001077.98446614583
1810179.359521.716158854179488.9145833333332.8015755208334657.633841145835
1910080.489580.908763020839395.02791666667185.880846354168499.571236979165
209492.449400.750950520839289.50583333333111.24511718750091.6890494791678
218616.499100.975846354179168.61-67.6341536458337-484.485846354166
228685.49051.076575520839025.8587525.2178255208323-365.676575520834
238160.678894.862356770838838.3683333333356.4940234375006-734.192356770833
248048.18548.544127604178656.36416666667-107.820039062500-500.444127604166
258641.218421.397408854178518.78583333333-97.3884244791666219.812591145834
268526.638526.599127604178441.6387584.96037760416680.0308723958332848
278474.218463.858658854178447.6154166666716.243242187500310.3513411458334
287916.138406.522408854178494.99791666667-88.4755078125003-490.392408854165
297977.648423.93761718758575.4625-151.524882812500-446.297617187497
308334.598731.850325520838699.0487532.8015755208334-397.260325520832
318623.368999.72792968758813.84708333333185.880846354168-376.367929687502
329098.039038.38011718758927.135111.24511718750059.6498828125004
339154.349012.160846354179079.795-67.6341536458337142.179153645833
349284.739302.98449218759277.7666666666725.2178255208323-18.2544921875015
359492.499543.909440104179487.4154166666756.4940234375006-51.4194401041696
369682.359564.174544270839671.99458333333-107.820039062500118.175455729166
379762.129722.664908854179820.05333333333-97.388424479166639.4550911458336
3810124.6310019.03371093759934.0733333333384.9603776041668105.596289062498
3910540.0510044.676158854210028.432916666716.2432421875003495.373841145833
4010601.6110012.699908854210101.1754166667-88.4755078125003588.910091145835
4110323.7310010.490950520810162.0158333333-151.524882812500313.239049479169
4210418.410237.790325520810204.9887532.8015755208334180.609674479170
4310092.9610431.239596354210245.35875185.880846354168-338.279596354167
4410364.9110406.536367187510295.29125111.245117187500-41.6263671874985
4510152.0910250.499179687510318.1333333333-67.6341536458337-98.4091796875018
4610032.810348.419075520810323.2012525.2178255208323-315.619075520834
4710204.5910399.716106770810343.222083333356.4940234375006-195.126106770833
4810001.610244.698710937510352.51875-107.820039062500-243.098710937502
4910411.7510261.339075520810358.7275-97.3884244791666150.410924479165
5010673.3810460.602460937510375.642083333384.9603776041668212.777539062499
5110539.5110413.344492187510397.1012516.2432421875003126.165507812500
5210723.7810346.740742187510435.21625-88.4755078125003377.039257812499
5310682.0610319.083867187510470.60875-151.524882812500362.976132812499
5410283.1910530.521158854210497.719583333332.8015755208334-247.331158854167
5510377.1810708.859179687510522.9783333333185.880846354168-331.679179687499
5610486.6410652.470533854210541.2254166667111.245117187500-165.830533854165
5710545.3810493.899596354210561.53375-67.634153645833751.4804036458336
5810554.2710610.934075520810585.7162525.2178255208323-56.6640755208336
5910532.5410671.835273437510615.3412556.4940234375006-139.295273437499
6010324.3110566.482877604210674.3029166667-107.820039062500-242.172877604167
6110695.2510656.422408854210753.8108333333-97.388424479166638.8275911458331
6210827.8110899.939127604210814.9787584.9603776041668-72.1291276041666
6310872.4810873.006992187510856.7637516.2432421875003-0.526992187496944
6410971.1910818.062825520810906.5383333333-88.4755078125003153.127174479167
6511145.6510826.018867187510977.54375-151.524882812500319.631132812499
6611234.6811120.339492187511087.537916666732.8015755208334114.340507812502
6711333.8811403.781679687511217.9008333333185.880846354168-69.9016796875021
6810997.9711455.800533854211344.5554166667111.245117187500-457.830533854169
6911036.8911409.847096354211477.48125-67.6341536458337-372.957096354168
7011257.3511640.228242187511615.010416666725.2178255208323-382.8782421875
7111533.5911787.469856770811730.975833333356.4940234375006-253.879856770831
7211963.1211733.280794270811841.1008333333-107.820039062500229.839205729169
7312185.1511893.461992187511990.8504166667-97.3884244791666291.688007812500
7412377.6212265.648710937512180.688333333384.9603776041668111.971289062500
7512512.8912410.207825520812393.964583333316.2432421875003102.682174479169
7612631.4812497.936992187512586.4125-88.4755078125003133.543007812501
7712268.5312601.823450520812753.3483333333-151.524882812500-333.293450520832
7812754.812951.244075520812918.442532.8015755208334-196.444075520832
7913407.7513227.389596354213041.50875185.880846354168180.360403645833
8013480.2113237.953033854213126.7079166667111.245117187500242.256966145831
8113673.2813103.014596354213170.64875-67.6341536458337570.265403645833
8213239.7113188.088242187513162.870416666725.217825520832351.6217578124997
8313557.6913207.424440104213150.930416666756.4940234375006350.265559895834
8413901.2813035.909544270813143.7295833333-107.820039062500865.370455729166
8513200.5813017.447825520813114.83625-97.3884244791666183.132174479168
8613406.9713115.679544270813030.719166666784.9603776041668291.290455729166
8712538.1212889.694075520812873.450833333316.2432421875003-351.574075520834
8812419.5712615.814492187512704.29-88.4755078125003-196.244492187501
8912193.8812379.741367187512531.26625-151.524882812500-185.861367187501
9012656.6312265.602825520812232.8012532.8015755208334391.027174479168
9112812.4812030.949596354211845.06875185.880846354168781.530403645835
9212056.6711564.753867187511453.50875111.245117187500491.916132812501
9311322.3811012.819179687511080.4533333333-67.6341536458337309.560820312501
9411530.7510736.046575520810710.8287525.2178255208323794.70342447917
9511114.0810363.677773437510307.1837556.4940234375006750.402226562501
969181.739798.40871093759906.22875-107.820039062500-616.678710937502
978614.559430.56449218759527.95291666667-97.3884244791666-816.014492187502
988595.569284.67246093759199.7120833333384.9603776041668-689.1124609375
998396.28961.526158854178945.2829166666716.2432421875003-565.326158854166
1007690.58656.85949218758745.335-88.4755078125003-966.3594921875
1017235.478442.342200520838593.86708333333-151.524882812500-1206.87220052083
1027992.128593.18949218758560.3879166666732.8015755208334-601.0694921875
1038398.378842.097513020838656.21666666667185.880846354168-443.727513020833
10485938911.718450520838800.47333333333111.245117187500-318.718450520833
1058679.758895.877513020838963.51166666667-67.6341536458337-216.127513020834
1069374.639180.356575520839155.1387525.2178255208323194.273424479166
1079634.979460.218606770839403.7245833333356.4940234375006174.751393229166
1089857.349566.824544270839674.64458333333-107.820039062500290.515455729166
10910238.83NA9889.72166666667NANA
11010433.44NA10042.55875NANA
11110471.24NA10172.0904166667NANA
11210214.51NA10277.0179166667NANA
11310677.52NA10357.8041666667NANA
11411052.15NANANANA
11510500.19NANANANA
11610159.27NANANANA
11710222.24NANANANA
11810350.4NANANANA
11910598.07NANANANA


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = additive ; par2 = 12 ;
Parameters (R input):
par1 = additive ; par2 = 12 ;
R code (references can be found in the software module):
par2 <- as.numeric(par2)
x <- ts(x,freq=par2)
m <- decompose(x,type=par1)
m$figure
bitmap(file='test1.png')
plot(m)
dev.off()
mylagmax <- length(x)/2
bitmap(file='test2.png')
op <- par(mfrow = c(2,2))
acf(as.numeric(x),lag.max = mylagmax,main='Observed')
acf(as.numeric(m$trend),na.action=na.pass,lag.max = mylagmax,main='Trend')
acf(as.numeric(m$seasonal),na.action=na.pass,lag.max = mylagmax,main='Seasonal')
acf(as.numeric(m$random),na.action=na.pass,lag.max = mylagmax,main='Random')
par(op)
dev.off()
bitmap(file='test3.png')
op <- par(mfrow = c(2,2))
spectrum(as.numeric(x),main='Observed')
spectrum(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
spectrum(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
spectrum(as.numeric(m$random[!is.na(m$random)]),main='Random')
par(op)
dev.off()
bitmap(file='test4.png')
op <- par(mfrow = c(2,2))
cpgram(as.numeric(x),main='Observed')
cpgram(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
cpgram(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
cpgram(as.numeric(m$random[!is.na(m$random)]),main='Random')
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'t',header=TRUE)
a<-table.element(a,'Observations',header=TRUE)
a<-table.element(a,'Fit',header=TRUE)
a<-table.element(a,'Trend',header=TRUE)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,'Random',header=TRUE)
a<-table.row.end(a)
for (i in 1:length(m$trend)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
a<-table.element(a,m$trend[i]+m$seasonal[i])
a<-table.element(a,m$trend[i])
a<-table.element(a,m$seasonal[i])
a<-table.element(a,m$random[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')