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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 computationSun, 26 Dec 2010 12:31:19 +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/Dec/26/t1293366670cfer3pjhp8pn4yp.htm/, Retrieved Tue, 07 May 2024 00:45:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=115566, Retrieved Tue, 07 May 2024 00:45:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact110

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] [WS5 - monthly bir...] [2010-12-08 13:47:08] [8ed0bd3560b9ca2814a2ed0a29182575]
-    D      [Classical Decomposition] [CD Dollar] [2010-12-26 12:31:19] [c9d5faca36bd2ada281161976df30bf1] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,8973
0,9383
0,9217
0,9095
0,892
0,8742
0,8532
0,8607
0,9005
0,9111
0,9059
0,8883
0,8924
0,8833
0,87
0,8758
0,8858
0,917
0,9554
0,9922
0,9778
0,9808
0,9811
1,0014
1,0183
1,0622
1,0773
1,0807
1,0848
1,1582
1,1663
1,1372
1,1139
1,1222
1,1692
1,1702
1,2286
1,2613
1,2646
1,2262
1,1985
1,2007
1,2138
1,2266
1,2176
1,2218
1,249
1,2991
1,3408
1,3119
1,3014
1,3201
1,2938
1,2694
1,2165
1,2037
1,2292
1,2256
1,2015
1,1786
1,1856
1,2103
1,1938
1,202
1,2271
1,277
1,265
1,2684
1,2811
1,2727
1,2611
1,2881
1,3213
1,2999
1,3074
1,3242
1,3516
1,3511
1,3419
1,3716
1,3622
1,3896
1,4227
1,4684
1,457
1,4718
1,4748
1,5527
1,575
1,5557
1,5553
1,577
1,4975
1,4369
1,3322
1,2732
1,3449
1,3239
1,2785
1,305
1,319
1,365
1,4016
1,4088
1,4268
1,4562
1,4816
1,4914
1,4614
1,4272
1,3686
1,3569
1,3406
1,2565
1,2208
1,277
1,2894
1,3067
1,3898
1,3661

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=115566&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=115566&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=115566&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'Gwilym Jenkins' @ 72.249.127.135






Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
10.8973NANA0.0107257330246914NA
20.9383NANA0.00726323302469138NA
30.9217NANA-0.00928676697530873NA
40.9095NANA-0.00100760030864195NA
50.892NANA-0.00145713734567903NA
60.8742NANA0.00235721450617286NA
70.85320.9001386959876540.8958541666666670.00428452932098763-0.0469386959876544
80.86070.9013456404320990.8933583333333330.00798730709876542-0.0406456404320987
90.90050.8881673996913580.8889125-0.0007451003086419050.0123326003086419
100.91110.8816132330246910.885354166666667-0.003740933641975340.0294867669753087
110.90590.8744025848765430.883691666666667-0.009289081790123420.0314974151234567
120.88830.8781252700617280.885216666666667-0.007091396604938280.0101747299382716
130.89240.9019840663580250.8912583333333330.0107257330246914-0.00958406635802478
140.88330.9082590663580250.9009958333333330.00726323302469138-0.0249590663580247
150.870.9004090663580250.909695833333333-0.00928676697530873-0.0304090663580247
160.87580.9148132330246910.915820833333333-0.00100760030864195-0.0390132330246913
170.88580.9204011959876540.921858333333333-0.00145713734567903-0.0346011959876542
180.9170.932061381172840.9297041666666670.00235721450617286-0.0150613811728395
190.95540.9439470293209880.93966250.004284529320987630.0114529706790125
200.99220.9603498070987650.95236250.007987307098765420.0318501929012347
210.97780.9677090663580250.968454166666667-0.0007451003086419050.0100909336419754
220.98080.9818882330246910.985629166666667-0.00374093364197534-0.00108823302469130
230.98110.993169251543211.00245833333333-0.00928908179012342-0.0120692515432100
241.00141.013708603395061.0208-0.00709139660493828-0.0123086033950617
251.01831.050363233024691.03963750.0107257330246914-0.0320632330246913
261.06221.061729899691361.054466666666670.007263233024691380.00047010030864203
271.07731.056892399691361.06617916666667-0.009286766975308730.0204076003086417
281.08071.076734066358021.07774166666667-0.001007600308641950.00396593364197528
291.08481.090013695987651.09147083333333-0.00145713734567903-0.00521369598765431
301.15821.108698881172841.106341666666670.002357214506172860.0495011188271604
311.16631.126422029320991.12213750.004284529320987630.0398779706790122
321.13721.147183140432101.139195833333330.00798730709876542-0.0099831404320987
331.11391.154550733024691.15529583333333-0.000745100308641905-0.0406507330246917
341.12221.165421566358021.1691625-0.00374093364197534-0.0432215663580247
351.16921.170673418209881.1799625-0.00928908179012342-0.00147341820987634
361.17021.179379436728401.18647083333333-0.00709139660493828-0.00917943672839527
371.22861.200946566358021.190220833333330.01072573302469140.0276534336419751
381.26131.203188233024691.1959250.007263233024691380.0581117669753088
391.26461.194684066358021.20397083333333-0.009286766975308730.0699159336419755
401.22621.211434066358021.21244166666667-0.001007600308641950.0147659336419754
411.19851.218459529320991.21991666666667-0.00145713734567903-0.0199595293209878
421.20071.230969714506171.22861250.00235721450617286-0.0302697145061726
431.21381.242942862654321.238658333333330.00428452932098763-0.0291428626543211
441.22661.253428973765431.245441666666670.00798730709876542-0.0268289737654321
451.21761.248338233024691.24908333333333-0.000745100308641905-0.0307382330246913
461.22181.250788233024691.25452916666667-0.00374093364197534-0.0289882330246913
471.2491.253123418209881.2624125-0.00928908179012342-0.0041234182098766
481.29911.262154436728401.26924583333333-0.007091396604938280.0369455632716049
491.34081.282946566358021.272220833333330.01072573302469140.0578534336419756
501.31191.278642399691361.271379166666670.007263233024691380.0332576003086422
511.30141.261621566358021.27090833333333-0.009286766975308730.0397784336419753
521.32011.270542399691361.27155-0.001007600308641950.049557600308642
531.29381.268272029320991.26972916666667-0.001457137345679030.0255279706790124
541.26941.265086381172841.262729166666670.002357214506172860.00431361882716086
551.21651.255526195987651.251241666666670.00428452932098763-0.0390261959876543
561.20371.248528973765431.240541666666670.00798730709876542-0.0448289737654322
571.22921.231079899691361.231825-0.000745100308641905-0.00187989969135804
581.22561.218679899691361.22242083333333-0.003740933641975340.00692010030864187
591.20151.205431751543211.21472083333333-0.00928908179012342-0.00393175154320979
601.17861.205166936728401.21225833333333-0.00709139660493828-0.0265669367283949
611.18561.225321566358021.214595833333330.0107257330246914-0.0397215663580244
621.21031.226575733024691.21931250.00726323302469138-0.0162757330246917
631.19381.214884066358021.22417083333333-0.00928676697530873-0.0210840663580247
641.2021.227288233024691.22829583333333-0.00100760030864195-0.0252882330246913
651.22711.231284529320991.23274166666667-0.00145713734567903-0.00418452932098723
661.2771.242144714506171.23978750.002357214506172860.0348552854938271
671.2651.254288695987651.250004166666670.004284529320987630.0107113040123454
681.26841.267378973765431.259391666666670.007987307098765420.00102102623456779
691.28111.267113233024691.26785833333333-0.0007451003086419050.0139867669753084
701.27271.273942399691361.27768333333333-0.00374093364197534-0.00124239969135775
711.26111.278673418209881.2879625-0.00928908179012342-0.0175734182098763
721.28811.289146103395061.2962375-0.00709139660493828-0.00104610339506173
731.32131.313254899691361.302529166666670.01072573302469140.00804510030864214
741.29991.317296566358021.310033333333330.00726323302469138-0.0173965663580247
751.30741.308425733024691.3177125-0.00928676697530873-0.00102573302469144
761.32421.324954899691361.3259625-0.00100760030864195-0.000754899691358002
771.35161.336109529320991.33756666666667-0.001457137345679030.0154904706790124
781.35111.354169714506171.35181250.00235721450617286-0.00306971450617244
791.34191.369263695987651.364979166666670.00428452932098763-0.0273636959876542
801.37161.38578314043211.377795833333330.00798730709876542-0.0141831404320989
811.36221.391188233024691.39193333333333-0.000745100308641905-0.0289882330246913
821.38961.404688233024691.40842916666667-0.00374093364197534-0.0150882330246915
831.42271.417969251543211.42725833333333-0.009289081790123420.00473074845679022
841.46841.438000270061731.44509166666667-0.007091396604938280.0303997299382712
851.4571.473234066358021.462508333333330.0107257330246914-0.0162340663580247
861.47181.487221566358021.479958333333330.00726323302469138-0.0154215663580246
871.47481.484867399691361.49415416666667-0.00928676697530873-0.0100673996913578
881.55271.500754899691361.5017625-0.001007600308641950.0519451003086417
891.5751.498505362654321.4999625-0.001457137345679030.076494637345679
901.55571.490415547839511.488058333333330.002357214506172860.065284452160494
911.55531.479538695987651.475254166666670.004284529320987630.075761304012346
921.5771.47240814043211.464420833333330.007987307098765420.104591859567901
931.49751.449334066358021.45007916666667-0.0007451003086419050.0481659336419755
941.43691.427838233024691.43157916666667-0.003740933641975340.00906176697530903
951.33221.401302584876541.41059166666667-0.00928908179012342-0.0691025848765432
961.27321.384887770061731.39197916666667-0.00709139660493828-0.111687770061728
971.34491.388354899691361.377629166666670.0107257330246914-0.0434548996913577
981.32391.371479899691361.364216666666670.00726323302469138-0.0475798996913579
991.27851.344975733024691.3542625-0.00928676697530873-0.0664757330246915
1001.3051.351113233024691.35212083333333-0.00100760030864195-0.0461132330246916
1011.3191.357692862654321.35915-0.00145713734567903-0.0386928626543208
1021.3651.376823881172841.374466666666670.00235721450617286-0.0118238811728395
1031.40161.392697029320991.38841250.004284529320987630.00890297067901225
1041.40881.40555814043211.397570833333330.007987307098765420.00324185956790113
1051.42681.404884066358021.40562916666667-0.0007451003086419050.0219159336419752
1061.45621.407804899691361.41154583333333-0.003740933641975340.0483951003086418
1071.48161.405319251543211.41460833333333-0.009289081790123420.0762807484567902
1081.49141.403896103395061.4109875-0.007091396604938280.0875038966049382
1091.46141.409659066358021.398933333333330.01072573302469140.0517409336419754
1101.42721.393171566358021.385908333333330.007263233024691380.0340284336419754
1111.36861.365404899691361.37469166666667-0.009286766975308730.00319510030864212
1121.35691.361729899691361.3627375-0.00100760030864195-0.00482989969135805
1131.34061.351226195987651.35268333333333-0.00145713734567903-0.0106261959876544
1141.25651.345994714506171.34363750.00235721450617286-0.089494714506173
1151.2208NANA0.00428452932098763NA
1161.277NANA0.00798730709876542NA
1171.2894NANA-0.000745100308641905NA
1181.3067NANA-0.00374093364197534NA
1191.3898NANA-0.00928908179012342NA
1201.3661NANA-0.00709139660493828NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 0.8973 & NA & NA & 0.0107257330246914 & NA \tabularnewline
2 & 0.9383 & NA & NA & 0.00726323302469138 & NA \tabularnewline
3 & 0.9217 & NA & NA & -0.00928676697530873 & NA \tabularnewline
4 & 0.9095 & NA & NA & -0.00100760030864195 & NA \tabularnewline
5 & 0.892 & NA & NA & -0.00145713734567903 & NA \tabularnewline
6 & 0.8742 & NA & NA & 0.00235721450617286 & NA \tabularnewline
7 & 0.8532 & 0.900138695987654 & 0.895854166666667 & 0.00428452932098763 & -0.0469386959876544 \tabularnewline
8 & 0.8607 & 0.901345640432099 & 0.893358333333333 & 0.00798730709876542 & -0.0406456404320987 \tabularnewline
9 & 0.9005 & 0.888167399691358 & 0.8889125 & -0.000745100308641905 & 0.0123326003086419 \tabularnewline
10 & 0.9111 & 0.881613233024691 & 0.885354166666667 & -0.00374093364197534 & 0.0294867669753087 \tabularnewline
11 & 0.9059 & 0.874402584876543 & 0.883691666666667 & -0.00928908179012342 & 0.0314974151234567 \tabularnewline
12 & 0.8883 & 0.878125270061728 & 0.885216666666667 & -0.00709139660493828 & 0.0101747299382716 \tabularnewline
13 & 0.8924 & 0.901984066358025 & 0.891258333333333 & 0.0107257330246914 & -0.00958406635802478 \tabularnewline
14 & 0.8833 & 0.908259066358025 & 0.900995833333333 & 0.00726323302469138 & -0.0249590663580247 \tabularnewline
15 & 0.87 & 0.900409066358025 & 0.909695833333333 & -0.00928676697530873 & -0.0304090663580247 \tabularnewline
16 & 0.8758 & 0.914813233024691 & 0.915820833333333 & -0.00100760030864195 & -0.0390132330246913 \tabularnewline
17 & 0.8858 & 0.920401195987654 & 0.921858333333333 & -0.00145713734567903 & -0.0346011959876542 \tabularnewline
18 & 0.917 & 0.93206138117284 & 0.929704166666667 & 0.00235721450617286 & -0.0150613811728395 \tabularnewline
19 & 0.9554 & 0.943947029320988 & 0.9396625 & 0.00428452932098763 & 0.0114529706790125 \tabularnewline
20 & 0.9922 & 0.960349807098765 & 0.9523625 & 0.00798730709876542 & 0.0318501929012347 \tabularnewline
21 & 0.9778 & 0.967709066358025 & 0.968454166666667 & -0.000745100308641905 & 0.0100909336419754 \tabularnewline
22 & 0.9808 & 0.981888233024691 & 0.985629166666667 & -0.00374093364197534 & -0.00108823302469130 \tabularnewline
23 & 0.9811 & 0.99316925154321 & 1.00245833333333 & -0.00928908179012342 & -0.0120692515432100 \tabularnewline
24 & 1.0014 & 1.01370860339506 & 1.0208 & -0.00709139660493828 & -0.0123086033950617 \tabularnewline
25 & 1.0183 & 1.05036323302469 & 1.0396375 & 0.0107257330246914 & -0.0320632330246913 \tabularnewline
26 & 1.0622 & 1.06172989969136 & 1.05446666666667 & 0.00726323302469138 & 0.00047010030864203 \tabularnewline
27 & 1.0773 & 1.05689239969136 & 1.06617916666667 & -0.00928676697530873 & 0.0204076003086417 \tabularnewline
28 & 1.0807 & 1.07673406635802 & 1.07774166666667 & -0.00100760030864195 & 0.00396593364197528 \tabularnewline
29 & 1.0848 & 1.09001369598765 & 1.09147083333333 & -0.00145713734567903 & -0.00521369598765431 \tabularnewline
30 & 1.1582 & 1.10869888117284 & 1.10634166666667 & 0.00235721450617286 & 0.0495011188271604 \tabularnewline
31 & 1.1663 & 1.12642202932099 & 1.1221375 & 0.00428452932098763 & 0.0398779706790122 \tabularnewline
32 & 1.1372 & 1.14718314043210 & 1.13919583333333 & 0.00798730709876542 & -0.0099831404320987 \tabularnewline
33 & 1.1139 & 1.15455073302469 & 1.15529583333333 & -0.000745100308641905 & -0.0406507330246917 \tabularnewline
34 & 1.1222 & 1.16542156635802 & 1.1691625 & -0.00374093364197534 & -0.0432215663580247 \tabularnewline
35 & 1.1692 & 1.17067341820988 & 1.1799625 & -0.00928908179012342 & -0.00147341820987634 \tabularnewline
36 & 1.1702 & 1.17937943672840 & 1.18647083333333 & -0.00709139660493828 & -0.00917943672839527 \tabularnewline
37 & 1.2286 & 1.20094656635802 & 1.19022083333333 & 0.0107257330246914 & 0.0276534336419751 \tabularnewline
38 & 1.2613 & 1.20318823302469 & 1.195925 & 0.00726323302469138 & 0.0581117669753088 \tabularnewline
39 & 1.2646 & 1.19468406635802 & 1.20397083333333 & -0.00928676697530873 & 0.0699159336419755 \tabularnewline
40 & 1.2262 & 1.21143406635802 & 1.21244166666667 & -0.00100760030864195 & 0.0147659336419754 \tabularnewline
41 & 1.1985 & 1.21845952932099 & 1.21991666666667 & -0.00145713734567903 & -0.0199595293209878 \tabularnewline
42 & 1.2007 & 1.23096971450617 & 1.2286125 & 0.00235721450617286 & -0.0302697145061726 \tabularnewline
43 & 1.2138 & 1.24294286265432 & 1.23865833333333 & 0.00428452932098763 & -0.0291428626543211 \tabularnewline
44 & 1.2266 & 1.25342897376543 & 1.24544166666667 & 0.00798730709876542 & -0.0268289737654321 \tabularnewline
45 & 1.2176 & 1.24833823302469 & 1.24908333333333 & -0.000745100308641905 & -0.0307382330246913 \tabularnewline
46 & 1.2218 & 1.25078823302469 & 1.25452916666667 & -0.00374093364197534 & -0.0289882330246913 \tabularnewline
47 & 1.249 & 1.25312341820988 & 1.2624125 & -0.00928908179012342 & -0.0041234182098766 \tabularnewline
48 & 1.2991 & 1.26215443672840 & 1.26924583333333 & -0.00709139660493828 & 0.0369455632716049 \tabularnewline
49 & 1.3408 & 1.28294656635802 & 1.27222083333333 & 0.0107257330246914 & 0.0578534336419756 \tabularnewline
50 & 1.3119 & 1.27864239969136 & 1.27137916666667 & 0.00726323302469138 & 0.0332576003086422 \tabularnewline
51 & 1.3014 & 1.26162156635802 & 1.27090833333333 & -0.00928676697530873 & 0.0397784336419753 \tabularnewline
52 & 1.3201 & 1.27054239969136 & 1.27155 & -0.00100760030864195 & 0.049557600308642 \tabularnewline
53 & 1.2938 & 1.26827202932099 & 1.26972916666667 & -0.00145713734567903 & 0.0255279706790124 \tabularnewline
54 & 1.2694 & 1.26508638117284 & 1.26272916666667 & 0.00235721450617286 & 0.00431361882716086 \tabularnewline
55 & 1.2165 & 1.25552619598765 & 1.25124166666667 & 0.00428452932098763 & -0.0390261959876543 \tabularnewline
56 & 1.2037 & 1.24852897376543 & 1.24054166666667 & 0.00798730709876542 & -0.0448289737654322 \tabularnewline
57 & 1.2292 & 1.23107989969136 & 1.231825 & -0.000745100308641905 & -0.00187989969135804 \tabularnewline
58 & 1.2256 & 1.21867989969136 & 1.22242083333333 & -0.00374093364197534 & 0.00692010030864187 \tabularnewline
59 & 1.2015 & 1.20543175154321 & 1.21472083333333 & -0.00928908179012342 & -0.00393175154320979 \tabularnewline
60 & 1.1786 & 1.20516693672840 & 1.21225833333333 & -0.00709139660493828 & -0.0265669367283949 \tabularnewline
61 & 1.1856 & 1.22532156635802 & 1.21459583333333 & 0.0107257330246914 & -0.0397215663580244 \tabularnewline
62 & 1.2103 & 1.22657573302469 & 1.2193125 & 0.00726323302469138 & -0.0162757330246917 \tabularnewline
63 & 1.1938 & 1.21488406635802 & 1.22417083333333 & -0.00928676697530873 & -0.0210840663580247 \tabularnewline
64 & 1.202 & 1.22728823302469 & 1.22829583333333 & -0.00100760030864195 & -0.0252882330246913 \tabularnewline
65 & 1.2271 & 1.23128452932099 & 1.23274166666667 & -0.00145713734567903 & -0.00418452932098723 \tabularnewline
66 & 1.277 & 1.24214471450617 & 1.2397875 & 0.00235721450617286 & 0.0348552854938271 \tabularnewline
67 & 1.265 & 1.25428869598765 & 1.25000416666667 & 0.00428452932098763 & 0.0107113040123454 \tabularnewline
68 & 1.2684 & 1.26737897376543 & 1.25939166666667 & 0.00798730709876542 & 0.00102102623456779 \tabularnewline
69 & 1.2811 & 1.26711323302469 & 1.26785833333333 & -0.000745100308641905 & 0.0139867669753084 \tabularnewline
70 & 1.2727 & 1.27394239969136 & 1.27768333333333 & -0.00374093364197534 & -0.00124239969135775 \tabularnewline
71 & 1.2611 & 1.27867341820988 & 1.2879625 & -0.00928908179012342 & -0.0175734182098763 \tabularnewline
72 & 1.2881 & 1.28914610339506 & 1.2962375 & -0.00709139660493828 & -0.00104610339506173 \tabularnewline
73 & 1.3213 & 1.31325489969136 & 1.30252916666667 & 0.0107257330246914 & 0.00804510030864214 \tabularnewline
74 & 1.2999 & 1.31729656635802 & 1.31003333333333 & 0.00726323302469138 & -0.0173965663580247 \tabularnewline
75 & 1.3074 & 1.30842573302469 & 1.3177125 & -0.00928676697530873 & -0.00102573302469144 \tabularnewline
76 & 1.3242 & 1.32495489969136 & 1.3259625 & -0.00100760030864195 & -0.000754899691358002 \tabularnewline
77 & 1.3516 & 1.33610952932099 & 1.33756666666667 & -0.00145713734567903 & 0.0154904706790124 \tabularnewline
78 & 1.3511 & 1.35416971450617 & 1.3518125 & 0.00235721450617286 & -0.00306971450617244 \tabularnewline
79 & 1.3419 & 1.36926369598765 & 1.36497916666667 & 0.00428452932098763 & -0.0273636959876542 \tabularnewline
80 & 1.3716 & 1.3857831404321 & 1.37779583333333 & 0.00798730709876542 & -0.0141831404320989 \tabularnewline
81 & 1.3622 & 1.39118823302469 & 1.39193333333333 & -0.000745100308641905 & -0.0289882330246913 \tabularnewline
82 & 1.3896 & 1.40468823302469 & 1.40842916666667 & -0.00374093364197534 & -0.0150882330246915 \tabularnewline
83 & 1.4227 & 1.41796925154321 & 1.42725833333333 & -0.00928908179012342 & 0.00473074845679022 \tabularnewline
84 & 1.4684 & 1.43800027006173 & 1.44509166666667 & -0.00709139660493828 & 0.0303997299382712 \tabularnewline
85 & 1.457 & 1.47323406635802 & 1.46250833333333 & 0.0107257330246914 & -0.0162340663580247 \tabularnewline
86 & 1.4718 & 1.48722156635802 & 1.47995833333333 & 0.00726323302469138 & -0.0154215663580246 \tabularnewline
87 & 1.4748 & 1.48486739969136 & 1.49415416666667 & -0.00928676697530873 & -0.0100673996913578 \tabularnewline
88 & 1.5527 & 1.50075489969136 & 1.5017625 & -0.00100760030864195 & 0.0519451003086417 \tabularnewline
89 & 1.575 & 1.49850536265432 & 1.4999625 & -0.00145713734567903 & 0.076494637345679 \tabularnewline
90 & 1.5557 & 1.49041554783951 & 1.48805833333333 & 0.00235721450617286 & 0.065284452160494 \tabularnewline
91 & 1.5553 & 1.47953869598765 & 1.47525416666667 & 0.00428452932098763 & 0.075761304012346 \tabularnewline
92 & 1.577 & 1.4724081404321 & 1.46442083333333 & 0.00798730709876542 & 0.104591859567901 \tabularnewline
93 & 1.4975 & 1.44933406635802 & 1.45007916666667 & -0.000745100308641905 & 0.0481659336419755 \tabularnewline
94 & 1.4369 & 1.42783823302469 & 1.43157916666667 & -0.00374093364197534 & 0.00906176697530903 \tabularnewline
95 & 1.3322 & 1.40130258487654 & 1.41059166666667 & -0.00928908179012342 & -0.0691025848765432 \tabularnewline
96 & 1.2732 & 1.38488777006173 & 1.39197916666667 & -0.00709139660493828 & -0.111687770061728 \tabularnewline
97 & 1.3449 & 1.38835489969136 & 1.37762916666667 & 0.0107257330246914 & -0.0434548996913577 \tabularnewline
98 & 1.3239 & 1.37147989969136 & 1.36421666666667 & 0.00726323302469138 & -0.0475798996913579 \tabularnewline
99 & 1.2785 & 1.34497573302469 & 1.3542625 & -0.00928676697530873 & -0.0664757330246915 \tabularnewline
100 & 1.305 & 1.35111323302469 & 1.35212083333333 & -0.00100760030864195 & -0.0461132330246916 \tabularnewline
101 & 1.319 & 1.35769286265432 & 1.35915 & -0.00145713734567903 & -0.0386928626543208 \tabularnewline
102 & 1.365 & 1.37682388117284 & 1.37446666666667 & 0.00235721450617286 & -0.0118238811728395 \tabularnewline
103 & 1.4016 & 1.39269702932099 & 1.3884125 & 0.00428452932098763 & 0.00890297067901225 \tabularnewline
104 & 1.4088 & 1.4055581404321 & 1.39757083333333 & 0.00798730709876542 & 0.00324185956790113 \tabularnewline
105 & 1.4268 & 1.40488406635802 & 1.40562916666667 & -0.000745100308641905 & 0.0219159336419752 \tabularnewline
106 & 1.4562 & 1.40780489969136 & 1.41154583333333 & -0.00374093364197534 & 0.0483951003086418 \tabularnewline
107 & 1.4816 & 1.40531925154321 & 1.41460833333333 & -0.00928908179012342 & 0.0762807484567902 \tabularnewline
108 & 1.4914 & 1.40389610339506 & 1.4109875 & -0.00709139660493828 & 0.0875038966049382 \tabularnewline
109 & 1.4614 & 1.40965906635802 & 1.39893333333333 & 0.0107257330246914 & 0.0517409336419754 \tabularnewline
110 & 1.4272 & 1.39317156635802 & 1.38590833333333 & 0.00726323302469138 & 0.0340284336419754 \tabularnewline
111 & 1.3686 & 1.36540489969136 & 1.37469166666667 & -0.00928676697530873 & 0.00319510030864212 \tabularnewline
112 & 1.3569 & 1.36172989969136 & 1.3627375 & -0.00100760030864195 & -0.00482989969135805 \tabularnewline
113 & 1.3406 & 1.35122619598765 & 1.35268333333333 & -0.00145713734567903 & -0.0106261959876544 \tabularnewline
114 & 1.2565 & 1.34599471450617 & 1.3436375 & 0.00235721450617286 & -0.089494714506173 \tabularnewline
115 & 1.2208 & NA & NA & 0.00428452932098763 & NA \tabularnewline
116 & 1.277 & NA & NA & 0.00798730709876542 & NA \tabularnewline
117 & 1.2894 & NA & NA & -0.000745100308641905 & NA \tabularnewline
118 & 1.3067 & NA & NA & -0.00374093364197534 & NA \tabularnewline
119 & 1.3898 & NA & NA & -0.00928908179012342 & NA \tabularnewline
120 & 1.3661 & NA & NA & -0.00709139660493828 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=115566&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]0.8973[/C][C]NA[/C][C]NA[/C][C]0.0107257330246914[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]0.9383[/C][C]NA[/C][C]NA[/C][C]0.00726323302469138[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]0.9217[/C][C]NA[/C][C]NA[/C][C]-0.00928676697530873[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]0.9095[/C][C]NA[/C][C]NA[/C][C]-0.00100760030864195[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]0.892[/C][C]NA[/C][C]NA[/C][C]-0.00145713734567903[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]0.8742[/C][C]NA[/C][C]NA[/C][C]0.00235721450617286[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]0.8532[/C][C]0.900138695987654[/C][C]0.895854166666667[/C][C]0.00428452932098763[/C][C]-0.0469386959876544[/C][/ROW]
[ROW][C]8[/C][C]0.8607[/C][C]0.901345640432099[/C][C]0.893358333333333[/C][C]0.00798730709876542[/C][C]-0.0406456404320987[/C][/ROW]
[ROW][C]9[/C][C]0.9005[/C][C]0.888167399691358[/C][C]0.8889125[/C][C]-0.000745100308641905[/C][C]0.0123326003086419[/C][/ROW]
[ROW][C]10[/C][C]0.9111[/C][C]0.881613233024691[/C][C]0.885354166666667[/C][C]-0.00374093364197534[/C][C]0.0294867669753087[/C][/ROW]
[ROW][C]11[/C][C]0.9059[/C][C]0.874402584876543[/C][C]0.883691666666667[/C][C]-0.00928908179012342[/C][C]0.0314974151234567[/C][/ROW]
[ROW][C]12[/C][C]0.8883[/C][C]0.878125270061728[/C][C]0.885216666666667[/C][C]-0.00709139660493828[/C][C]0.0101747299382716[/C][/ROW]
[ROW][C]13[/C][C]0.8924[/C][C]0.901984066358025[/C][C]0.891258333333333[/C][C]0.0107257330246914[/C][C]-0.00958406635802478[/C][/ROW]
[ROW][C]14[/C][C]0.8833[/C][C]0.908259066358025[/C][C]0.900995833333333[/C][C]0.00726323302469138[/C][C]-0.0249590663580247[/C][/ROW]
[ROW][C]15[/C][C]0.87[/C][C]0.900409066358025[/C][C]0.909695833333333[/C][C]-0.00928676697530873[/C][C]-0.0304090663580247[/C][/ROW]
[ROW][C]16[/C][C]0.8758[/C][C]0.914813233024691[/C][C]0.915820833333333[/C][C]-0.00100760030864195[/C][C]-0.0390132330246913[/C][/ROW]
[ROW][C]17[/C][C]0.8858[/C][C]0.920401195987654[/C][C]0.921858333333333[/C][C]-0.00145713734567903[/C][C]-0.0346011959876542[/C][/ROW]
[ROW][C]18[/C][C]0.917[/C][C]0.93206138117284[/C][C]0.929704166666667[/C][C]0.00235721450617286[/C][C]-0.0150613811728395[/C][/ROW]
[ROW][C]19[/C][C]0.9554[/C][C]0.943947029320988[/C][C]0.9396625[/C][C]0.00428452932098763[/C][C]0.0114529706790125[/C][/ROW]
[ROW][C]20[/C][C]0.9922[/C][C]0.960349807098765[/C][C]0.9523625[/C][C]0.00798730709876542[/C][C]0.0318501929012347[/C][/ROW]
[ROW][C]21[/C][C]0.9778[/C][C]0.967709066358025[/C][C]0.968454166666667[/C][C]-0.000745100308641905[/C][C]0.0100909336419754[/C][/ROW]
[ROW][C]22[/C][C]0.9808[/C][C]0.981888233024691[/C][C]0.985629166666667[/C][C]-0.00374093364197534[/C][C]-0.00108823302469130[/C][/ROW]
[ROW][C]23[/C][C]0.9811[/C][C]0.99316925154321[/C][C]1.00245833333333[/C][C]-0.00928908179012342[/C][C]-0.0120692515432100[/C][/ROW]
[ROW][C]24[/C][C]1.0014[/C][C]1.01370860339506[/C][C]1.0208[/C][C]-0.00709139660493828[/C][C]-0.0123086033950617[/C][/ROW]
[ROW][C]25[/C][C]1.0183[/C][C]1.05036323302469[/C][C]1.0396375[/C][C]0.0107257330246914[/C][C]-0.0320632330246913[/C][/ROW]
[ROW][C]26[/C][C]1.0622[/C][C]1.06172989969136[/C][C]1.05446666666667[/C][C]0.00726323302469138[/C][C]0.00047010030864203[/C][/ROW]
[ROW][C]27[/C][C]1.0773[/C][C]1.05689239969136[/C][C]1.06617916666667[/C][C]-0.00928676697530873[/C][C]0.0204076003086417[/C][/ROW]
[ROW][C]28[/C][C]1.0807[/C][C]1.07673406635802[/C][C]1.07774166666667[/C][C]-0.00100760030864195[/C][C]0.00396593364197528[/C][/ROW]
[ROW][C]29[/C][C]1.0848[/C][C]1.09001369598765[/C][C]1.09147083333333[/C][C]-0.00145713734567903[/C][C]-0.00521369598765431[/C][/ROW]
[ROW][C]30[/C][C]1.1582[/C][C]1.10869888117284[/C][C]1.10634166666667[/C][C]0.00235721450617286[/C][C]0.0495011188271604[/C][/ROW]
[ROW][C]31[/C][C]1.1663[/C][C]1.12642202932099[/C][C]1.1221375[/C][C]0.00428452932098763[/C][C]0.0398779706790122[/C][/ROW]
[ROW][C]32[/C][C]1.1372[/C][C]1.14718314043210[/C][C]1.13919583333333[/C][C]0.00798730709876542[/C][C]-0.0099831404320987[/C][/ROW]
[ROW][C]33[/C][C]1.1139[/C][C]1.15455073302469[/C][C]1.15529583333333[/C][C]-0.000745100308641905[/C][C]-0.0406507330246917[/C][/ROW]
[ROW][C]34[/C][C]1.1222[/C][C]1.16542156635802[/C][C]1.1691625[/C][C]-0.00374093364197534[/C][C]-0.0432215663580247[/C][/ROW]
[ROW][C]35[/C][C]1.1692[/C][C]1.17067341820988[/C][C]1.1799625[/C][C]-0.00928908179012342[/C][C]-0.00147341820987634[/C][/ROW]
[ROW][C]36[/C][C]1.1702[/C][C]1.17937943672840[/C][C]1.18647083333333[/C][C]-0.00709139660493828[/C][C]-0.00917943672839527[/C][/ROW]
[ROW][C]37[/C][C]1.2286[/C][C]1.20094656635802[/C][C]1.19022083333333[/C][C]0.0107257330246914[/C][C]0.0276534336419751[/C][/ROW]
[ROW][C]38[/C][C]1.2613[/C][C]1.20318823302469[/C][C]1.195925[/C][C]0.00726323302469138[/C][C]0.0581117669753088[/C][/ROW]
[ROW][C]39[/C][C]1.2646[/C][C]1.19468406635802[/C][C]1.20397083333333[/C][C]-0.00928676697530873[/C][C]0.0699159336419755[/C][/ROW]
[ROW][C]40[/C][C]1.2262[/C][C]1.21143406635802[/C][C]1.21244166666667[/C][C]-0.00100760030864195[/C][C]0.0147659336419754[/C][/ROW]
[ROW][C]41[/C][C]1.1985[/C][C]1.21845952932099[/C][C]1.21991666666667[/C][C]-0.00145713734567903[/C][C]-0.0199595293209878[/C][/ROW]
[ROW][C]42[/C][C]1.2007[/C][C]1.23096971450617[/C][C]1.2286125[/C][C]0.00235721450617286[/C][C]-0.0302697145061726[/C][/ROW]
[ROW][C]43[/C][C]1.2138[/C][C]1.24294286265432[/C][C]1.23865833333333[/C][C]0.00428452932098763[/C][C]-0.0291428626543211[/C][/ROW]
[ROW][C]44[/C][C]1.2266[/C][C]1.25342897376543[/C][C]1.24544166666667[/C][C]0.00798730709876542[/C][C]-0.0268289737654321[/C][/ROW]
[ROW][C]45[/C][C]1.2176[/C][C]1.24833823302469[/C][C]1.24908333333333[/C][C]-0.000745100308641905[/C][C]-0.0307382330246913[/C][/ROW]
[ROW][C]46[/C][C]1.2218[/C][C]1.25078823302469[/C][C]1.25452916666667[/C][C]-0.00374093364197534[/C][C]-0.0289882330246913[/C][/ROW]
[ROW][C]47[/C][C]1.249[/C][C]1.25312341820988[/C][C]1.2624125[/C][C]-0.00928908179012342[/C][C]-0.0041234182098766[/C][/ROW]
[ROW][C]48[/C][C]1.2991[/C][C]1.26215443672840[/C][C]1.26924583333333[/C][C]-0.00709139660493828[/C][C]0.0369455632716049[/C][/ROW]
[ROW][C]49[/C][C]1.3408[/C][C]1.28294656635802[/C][C]1.27222083333333[/C][C]0.0107257330246914[/C][C]0.0578534336419756[/C][/ROW]
[ROW][C]50[/C][C]1.3119[/C][C]1.27864239969136[/C][C]1.27137916666667[/C][C]0.00726323302469138[/C][C]0.0332576003086422[/C][/ROW]
[ROW][C]51[/C][C]1.3014[/C][C]1.26162156635802[/C][C]1.27090833333333[/C][C]-0.00928676697530873[/C][C]0.0397784336419753[/C][/ROW]
[ROW][C]52[/C][C]1.3201[/C][C]1.27054239969136[/C][C]1.27155[/C][C]-0.00100760030864195[/C][C]0.049557600308642[/C][/ROW]
[ROW][C]53[/C][C]1.2938[/C][C]1.26827202932099[/C][C]1.26972916666667[/C][C]-0.00145713734567903[/C][C]0.0255279706790124[/C][/ROW]
[ROW][C]54[/C][C]1.2694[/C][C]1.26508638117284[/C][C]1.26272916666667[/C][C]0.00235721450617286[/C][C]0.00431361882716086[/C][/ROW]
[ROW][C]55[/C][C]1.2165[/C][C]1.25552619598765[/C][C]1.25124166666667[/C][C]0.00428452932098763[/C][C]-0.0390261959876543[/C][/ROW]
[ROW][C]56[/C][C]1.2037[/C][C]1.24852897376543[/C][C]1.24054166666667[/C][C]0.00798730709876542[/C][C]-0.0448289737654322[/C][/ROW]
[ROW][C]57[/C][C]1.2292[/C][C]1.23107989969136[/C][C]1.231825[/C][C]-0.000745100308641905[/C][C]-0.00187989969135804[/C][/ROW]
[ROW][C]58[/C][C]1.2256[/C][C]1.21867989969136[/C][C]1.22242083333333[/C][C]-0.00374093364197534[/C][C]0.00692010030864187[/C][/ROW]
[ROW][C]59[/C][C]1.2015[/C][C]1.20543175154321[/C][C]1.21472083333333[/C][C]-0.00928908179012342[/C][C]-0.00393175154320979[/C][/ROW]
[ROW][C]60[/C][C]1.1786[/C][C]1.20516693672840[/C][C]1.21225833333333[/C][C]-0.00709139660493828[/C][C]-0.0265669367283949[/C][/ROW]
[ROW][C]61[/C][C]1.1856[/C][C]1.22532156635802[/C][C]1.21459583333333[/C][C]0.0107257330246914[/C][C]-0.0397215663580244[/C][/ROW]
[ROW][C]62[/C][C]1.2103[/C][C]1.22657573302469[/C][C]1.2193125[/C][C]0.00726323302469138[/C][C]-0.0162757330246917[/C][/ROW]
[ROW][C]63[/C][C]1.1938[/C][C]1.21488406635802[/C][C]1.22417083333333[/C][C]-0.00928676697530873[/C][C]-0.0210840663580247[/C][/ROW]
[ROW][C]64[/C][C]1.202[/C][C]1.22728823302469[/C][C]1.22829583333333[/C][C]-0.00100760030864195[/C][C]-0.0252882330246913[/C][/ROW]
[ROW][C]65[/C][C]1.2271[/C][C]1.23128452932099[/C][C]1.23274166666667[/C][C]-0.00145713734567903[/C][C]-0.00418452932098723[/C][/ROW]
[ROW][C]66[/C][C]1.277[/C][C]1.24214471450617[/C][C]1.2397875[/C][C]0.00235721450617286[/C][C]0.0348552854938271[/C][/ROW]
[ROW][C]67[/C][C]1.265[/C][C]1.25428869598765[/C][C]1.25000416666667[/C][C]0.00428452932098763[/C][C]0.0107113040123454[/C][/ROW]
[ROW][C]68[/C][C]1.2684[/C][C]1.26737897376543[/C][C]1.25939166666667[/C][C]0.00798730709876542[/C][C]0.00102102623456779[/C][/ROW]
[ROW][C]69[/C][C]1.2811[/C][C]1.26711323302469[/C][C]1.26785833333333[/C][C]-0.000745100308641905[/C][C]0.0139867669753084[/C][/ROW]
[ROW][C]70[/C][C]1.2727[/C][C]1.27394239969136[/C][C]1.27768333333333[/C][C]-0.00374093364197534[/C][C]-0.00124239969135775[/C][/ROW]
[ROW][C]71[/C][C]1.2611[/C][C]1.27867341820988[/C][C]1.2879625[/C][C]-0.00928908179012342[/C][C]-0.0175734182098763[/C][/ROW]
[ROW][C]72[/C][C]1.2881[/C][C]1.28914610339506[/C][C]1.2962375[/C][C]-0.00709139660493828[/C][C]-0.00104610339506173[/C][/ROW]
[ROW][C]73[/C][C]1.3213[/C][C]1.31325489969136[/C][C]1.30252916666667[/C][C]0.0107257330246914[/C][C]0.00804510030864214[/C][/ROW]
[ROW][C]74[/C][C]1.2999[/C][C]1.31729656635802[/C][C]1.31003333333333[/C][C]0.00726323302469138[/C][C]-0.0173965663580247[/C][/ROW]
[ROW][C]75[/C][C]1.3074[/C][C]1.30842573302469[/C][C]1.3177125[/C][C]-0.00928676697530873[/C][C]-0.00102573302469144[/C][/ROW]
[ROW][C]76[/C][C]1.3242[/C][C]1.32495489969136[/C][C]1.3259625[/C][C]-0.00100760030864195[/C][C]-0.000754899691358002[/C][/ROW]
[ROW][C]77[/C][C]1.3516[/C][C]1.33610952932099[/C][C]1.33756666666667[/C][C]-0.00145713734567903[/C][C]0.0154904706790124[/C][/ROW]
[ROW][C]78[/C][C]1.3511[/C][C]1.35416971450617[/C][C]1.3518125[/C][C]0.00235721450617286[/C][C]-0.00306971450617244[/C][/ROW]
[ROW][C]79[/C][C]1.3419[/C][C]1.36926369598765[/C][C]1.36497916666667[/C][C]0.00428452932098763[/C][C]-0.0273636959876542[/C][/ROW]
[ROW][C]80[/C][C]1.3716[/C][C]1.3857831404321[/C][C]1.37779583333333[/C][C]0.00798730709876542[/C][C]-0.0141831404320989[/C][/ROW]
[ROW][C]81[/C][C]1.3622[/C][C]1.39118823302469[/C][C]1.39193333333333[/C][C]-0.000745100308641905[/C][C]-0.0289882330246913[/C][/ROW]
[ROW][C]82[/C][C]1.3896[/C][C]1.40468823302469[/C][C]1.40842916666667[/C][C]-0.00374093364197534[/C][C]-0.0150882330246915[/C][/ROW]
[ROW][C]83[/C][C]1.4227[/C][C]1.41796925154321[/C][C]1.42725833333333[/C][C]-0.00928908179012342[/C][C]0.00473074845679022[/C][/ROW]
[ROW][C]84[/C][C]1.4684[/C][C]1.43800027006173[/C][C]1.44509166666667[/C][C]-0.00709139660493828[/C][C]0.0303997299382712[/C][/ROW]
[ROW][C]85[/C][C]1.457[/C][C]1.47323406635802[/C][C]1.46250833333333[/C][C]0.0107257330246914[/C][C]-0.0162340663580247[/C][/ROW]
[ROW][C]86[/C][C]1.4718[/C][C]1.48722156635802[/C][C]1.47995833333333[/C][C]0.00726323302469138[/C][C]-0.0154215663580246[/C][/ROW]
[ROW][C]87[/C][C]1.4748[/C][C]1.48486739969136[/C][C]1.49415416666667[/C][C]-0.00928676697530873[/C][C]-0.0100673996913578[/C][/ROW]
[ROW][C]88[/C][C]1.5527[/C][C]1.50075489969136[/C][C]1.5017625[/C][C]-0.00100760030864195[/C][C]0.0519451003086417[/C][/ROW]
[ROW][C]89[/C][C]1.575[/C][C]1.49850536265432[/C][C]1.4999625[/C][C]-0.00145713734567903[/C][C]0.076494637345679[/C][/ROW]
[ROW][C]90[/C][C]1.5557[/C][C]1.49041554783951[/C][C]1.48805833333333[/C][C]0.00235721450617286[/C][C]0.065284452160494[/C][/ROW]
[ROW][C]91[/C][C]1.5553[/C][C]1.47953869598765[/C][C]1.47525416666667[/C][C]0.00428452932098763[/C][C]0.075761304012346[/C][/ROW]
[ROW][C]92[/C][C]1.577[/C][C]1.4724081404321[/C][C]1.46442083333333[/C][C]0.00798730709876542[/C][C]0.104591859567901[/C][/ROW]
[ROW][C]93[/C][C]1.4975[/C][C]1.44933406635802[/C][C]1.45007916666667[/C][C]-0.000745100308641905[/C][C]0.0481659336419755[/C][/ROW]
[ROW][C]94[/C][C]1.4369[/C][C]1.42783823302469[/C][C]1.43157916666667[/C][C]-0.00374093364197534[/C][C]0.00906176697530903[/C][/ROW]
[ROW][C]95[/C][C]1.3322[/C][C]1.40130258487654[/C][C]1.41059166666667[/C][C]-0.00928908179012342[/C][C]-0.0691025848765432[/C][/ROW]
[ROW][C]96[/C][C]1.2732[/C][C]1.38488777006173[/C][C]1.39197916666667[/C][C]-0.00709139660493828[/C][C]-0.111687770061728[/C][/ROW]
[ROW][C]97[/C][C]1.3449[/C][C]1.38835489969136[/C][C]1.37762916666667[/C][C]0.0107257330246914[/C][C]-0.0434548996913577[/C][/ROW]
[ROW][C]98[/C][C]1.3239[/C][C]1.37147989969136[/C][C]1.36421666666667[/C][C]0.00726323302469138[/C][C]-0.0475798996913579[/C][/ROW]
[ROW][C]99[/C][C]1.2785[/C][C]1.34497573302469[/C][C]1.3542625[/C][C]-0.00928676697530873[/C][C]-0.0664757330246915[/C][/ROW]
[ROW][C]100[/C][C]1.305[/C][C]1.35111323302469[/C][C]1.35212083333333[/C][C]-0.00100760030864195[/C][C]-0.0461132330246916[/C][/ROW]
[ROW][C]101[/C][C]1.319[/C][C]1.35769286265432[/C][C]1.35915[/C][C]-0.00145713734567903[/C][C]-0.0386928626543208[/C][/ROW]
[ROW][C]102[/C][C]1.365[/C][C]1.37682388117284[/C][C]1.37446666666667[/C][C]0.00235721450617286[/C][C]-0.0118238811728395[/C][/ROW]
[ROW][C]103[/C][C]1.4016[/C][C]1.39269702932099[/C][C]1.3884125[/C][C]0.00428452932098763[/C][C]0.00890297067901225[/C][/ROW]
[ROW][C]104[/C][C]1.4088[/C][C]1.4055581404321[/C][C]1.39757083333333[/C][C]0.00798730709876542[/C][C]0.00324185956790113[/C][/ROW]
[ROW][C]105[/C][C]1.4268[/C][C]1.40488406635802[/C][C]1.40562916666667[/C][C]-0.000745100308641905[/C][C]0.0219159336419752[/C][/ROW]
[ROW][C]106[/C][C]1.4562[/C][C]1.40780489969136[/C][C]1.41154583333333[/C][C]-0.00374093364197534[/C][C]0.0483951003086418[/C][/ROW]
[ROW][C]107[/C][C]1.4816[/C][C]1.40531925154321[/C][C]1.41460833333333[/C][C]-0.00928908179012342[/C][C]0.0762807484567902[/C][/ROW]
[ROW][C]108[/C][C]1.4914[/C][C]1.40389610339506[/C][C]1.4109875[/C][C]-0.00709139660493828[/C][C]0.0875038966049382[/C][/ROW]
[ROW][C]109[/C][C]1.4614[/C][C]1.40965906635802[/C][C]1.39893333333333[/C][C]0.0107257330246914[/C][C]0.0517409336419754[/C][/ROW]
[ROW][C]110[/C][C]1.4272[/C][C]1.39317156635802[/C][C]1.38590833333333[/C][C]0.00726323302469138[/C][C]0.0340284336419754[/C][/ROW]
[ROW][C]111[/C][C]1.3686[/C][C]1.36540489969136[/C][C]1.37469166666667[/C][C]-0.00928676697530873[/C][C]0.00319510030864212[/C][/ROW]
[ROW][C]112[/C][C]1.3569[/C][C]1.36172989969136[/C][C]1.3627375[/C][C]-0.00100760030864195[/C][C]-0.00482989969135805[/C][/ROW]
[ROW][C]113[/C][C]1.3406[/C][C]1.35122619598765[/C][C]1.35268333333333[/C][C]-0.00145713734567903[/C][C]-0.0106261959876544[/C][/ROW]
[ROW][C]114[/C][C]1.2565[/C][C]1.34599471450617[/C][C]1.3436375[/C][C]0.00235721450617286[/C][C]-0.089494714506173[/C][/ROW]
[ROW][C]115[/C][C]1.2208[/C][C]NA[/C][C]NA[/C][C]0.00428452932098763[/C][C]NA[/C][/ROW]
[ROW][C]116[/C][C]1.277[/C][C]NA[/C][C]NA[/C][C]0.00798730709876542[/C][C]NA[/C][/ROW]
[ROW][C]117[/C][C]1.2894[/C][C]NA[/C][C]NA[/C][C]-0.000745100308641905[/C][C]NA[/C][/ROW]
[ROW][C]118[/C][C]1.3067[/C][C]NA[/C][C]NA[/C][C]-0.00374093364197534[/C][C]NA[/C][/ROW]
[ROW][C]119[/C][C]1.3898[/C][C]NA[/C][C]NA[/C][C]-0.00928908179012342[/C][C]NA[/C][/ROW]
[ROW][C]120[/C][C]1.3661[/C][C]NA[/C][C]NA[/C][C]-0.00709139660493828[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=115566&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=115566&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
10.8973NANA0.0107257330246914NA
20.9383NANA0.00726323302469138NA
30.9217NANA-0.00928676697530873NA
40.9095NANA-0.00100760030864195NA
50.892NANA-0.00145713734567903NA
60.8742NANA0.00235721450617286NA
70.85320.9001386959876540.8958541666666670.00428452932098763-0.0469386959876544
80.86070.9013456404320990.8933583333333330.00798730709876542-0.0406456404320987
90.90050.8881673996913580.8889125-0.0007451003086419050.0123326003086419
100.91110.8816132330246910.885354166666667-0.003740933641975340.0294867669753087
110.90590.8744025848765430.883691666666667-0.009289081790123420.0314974151234567
120.88830.8781252700617280.885216666666667-0.007091396604938280.0101747299382716
130.89240.9019840663580250.8912583333333330.0107257330246914-0.00958406635802478
140.88330.9082590663580250.9009958333333330.00726323302469138-0.0249590663580247
150.870.9004090663580250.909695833333333-0.00928676697530873-0.0304090663580247
160.87580.9148132330246910.915820833333333-0.00100760030864195-0.0390132330246913
170.88580.9204011959876540.921858333333333-0.00145713734567903-0.0346011959876542
180.9170.932061381172840.9297041666666670.00235721450617286-0.0150613811728395
190.95540.9439470293209880.93966250.004284529320987630.0114529706790125
200.99220.9603498070987650.95236250.007987307098765420.0318501929012347
210.97780.9677090663580250.968454166666667-0.0007451003086419050.0100909336419754
220.98080.9818882330246910.985629166666667-0.00374093364197534-0.00108823302469130
230.98110.993169251543211.00245833333333-0.00928908179012342-0.0120692515432100
241.00141.013708603395061.0208-0.00709139660493828-0.0123086033950617
251.01831.050363233024691.03963750.0107257330246914-0.0320632330246913
261.06221.061729899691361.054466666666670.007263233024691380.00047010030864203
271.07731.056892399691361.06617916666667-0.009286766975308730.0204076003086417
281.08071.076734066358021.07774166666667-0.001007600308641950.00396593364197528
291.08481.090013695987651.09147083333333-0.00145713734567903-0.00521369598765431
301.15821.108698881172841.106341666666670.002357214506172860.0495011188271604
311.16631.126422029320991.12213750.004284529320987630.0398779706790122
321.13721.147183140432101.139195833333330.00798730709876542-0.0099831404320987
331.11391.154550733024691.15529583333333-0.000745100308641905-0.0406507330246917
341.12221.165421566358021.1691625-0.00374093364197534-0.0432215663580247
351.16921.170673418209881.1799625-0.00928908179012342-0.00147341820987634
361.17021.179379436728401.18647083333333-0.00709139660493828-0.00917943672839527
371.22861.200946566358021.190220833333330.01072573302469140.0276534336419751
381.26131.203188233024691.1959250.007263233024691380.0581117669753088
391.26461.194684066358021.20397083333333-0.009286766975308730.0699159336419755
401.22621.211434066358021.21244166666667-0.001007600308641950.0147659336419754
411.19851.218459529320991.21991666666667-0.00145713734567903-0.0199595293209878
421.20071.230969714506171.22861250.00235721450617286-0.0302697145061726
431.21381.242942862654321.238658333333330.00428452932098763-0.0291428626543211
441.22661.253428973765431.245441666666670.00798730709876542-0.0268289737654321
451.21761.248338233024691.24908333333333-0.000745100308641905-0.0307382330246913
461.22181.250788233024691.25452916666667-0.00374093364197534-0.0289882330246913
471.2491.253123418209881.2624125-0.00928908179012342-0.0041234182098766
481.29911.262154436728401.26924583333333-0.007091396604938280.0369455632716049
491.34081.282946566358021.272220833333330.01072573302469140.0578534336419756
501.31191.278642399691361.271379166666670.007263233024691380.0332576003086422
511.30141.261621566358021.27090833333333-0.009286766975308730.0397784336419753
521.32011.270542399691361.27155-0.001007600308641950.049557600308642
531.29381.268272029320991.26972916666667-0.001457137345679030.0255279706790124
541.26941.265086381172841.262729166666670.002357214506172860.00431361882716086
551.21651.255526195987651.251241666666670.00428452932098763-0.0390261959876543
561.20371.248528973765431.240541666666670.00798730709876542-0.0448289737654322
571.22921.231079899691361.231825-0.000745100308641905-0.00187989969135804
581.22561.218679899691361.22242083333333-0.003740933641975340.00692010030864187
591.20151.205431751543211.21472083333333-0.00928908179012342-0.00393175154320979
601.17861.205166936728401.21225833333333-0.00709139660493828-0.0265669367283949
611.18561.225321566358021.214595833333330.0107257330246914-0.0397215663580244
621.21031.226575733024691.21931250.00726323302469138-0.0162757330246917
631.19381.214884066358021.22417083333333-0.00928676697530873-0.0210840663580247
641.2021.227288233024691.22829583333333-0.00100760030864195-0.0252882330246913
651.22711.231284529320991.23274166666667-0.00145713734567903-0.00418452932098723
661.2771.242144714506171.23978750.002357214506172860.0348552854938271
671.2651.254288695987651.250004166666670.004284529320987630.0107113040123454
681.26841.267378973765431.259391666666670.007987307098765420.00102102623456779
691.28111.267113233024691.26785833333333-0.0007451003086419050.0139867669753084
701.27271.273942399691361.27768333333333-0.00374093364197534-0.00124239969135775
711.26111.278673418209881.2879625-0.00928908179012342-0.0175734182098763
721.28811.289146103395061.2962375-0.00709139660493828-0.00104610339506173
731.32131.313254899691361.302529166666670.01072573302469140.00804510030864214
741.29991.317296566358021.310033333333330.00726323302469138-0.0173965663580247
751.30741.308425733024691.3177125-0.00928676697530873-0.00102573302469144
761.32421.324954899691361.3259625-0.00100760030864195-0.000754899691358002
771.35161.336109529320991.33756666666667-0.001457137345679030.0154904706790124
781.35111.354169714506171.35181250.00235721450617286-0.00306971450617244
791.34191.369263695987651.364979166666670.00428452932098763-0.0273636959876542
801.37161.38578314043211.377795833333330.00798730709876542-0.0141831404320989
811.36221.391188233024691.39193333333333-0.000745100308641905-0.0289882330246913
821.38961.404688233024691.40842916666667-0.00374093364197534-0.0150882330246915
831.42271.417969251543211.42725833333333-0.009289081790123420.00473074845679022
841.46841.438000270061731.44509166666667-0.007091396604938280.0303997299382712
851.4571.473234066358021.462508333333330.0107257330246914-0.0162340663580247
861.47181.487221566358021.479958333333330.00726323302469138-0.0154215663580246
871.47481.484867399691361.49415416666667-0.00928676697530873-0.0100673996913578
881.55271.500754899691361.5017625-0.001007600308641950.0519451003086417
891.5751.498505362654321.4999625-0.001457137345679030.076494637345679
901.55571.490415547839511.488058333333330.002357214506172860.065284452160494
911.55531.479538695987651.475254166666670.004284529320987630.075761304012346
921.5771.47240814043211.464420833333330.007987307098765420.104591859567901
931.49751.449334066358021.45007916666667-0.0007451003086419050.0481659336419755
941.43691.427838233024691.43157916666667-0.003740933641975340.00906176697530903
951.33221.401302584876541.41059166666667-0.00928908179012342-0.0691025848765432
961.27321.384887770061731.39197916666667-0.00709139660493828-0.111687770061728
971.34491.388354899691361.377629166666670.0107257330246914-0.0434548996913577
981.32391.371479899691361.364216666666670.00726323302469138-0.0475798996913579
991.27851.344975733024691.3542625-0.00928676697530873-0.0664757330246915
1001.3051.351113233024691.35212083333333-0.00100760030864195-0.0461132330246916
1011.3191.357692862654321.35915-0.00145713734567903-0.0386928626543208
1021.3651.376823881172841.374466666666670.00235721450617286-0.0118238811728395
1031.40161.392697029320991.38841250.004284529320987630.00890297067901225
1041.40881.40555814043211.397570833333330.007987307098765420.00324185956790113
1051.42681.404884066358021.40562916666667-0.0007451003086419050.0219159336419752
1061.45621.407804899691361.41154583333333-0.003740933641975340.0483951003086418
1071.48161.405319251543211.41460833333333-0.009289081790123420.0762807484567902
1081.49141.403896103395061.4109875-0.007091396604938280.0875038966049382
1091.46141.409659066358021.398933333333330.01072573302469140.0517409336419754
1101.42721.393171566358021.385908333333330.007263233024691380.0340284336419754
1111.36861.365404899691361.37469166666667-0.009286766975308730.00319510030864212
1121.35691.361729899691361.3627375-0.00100760030864195-0.00482989969135805
1131.34061.351226195987651.35268333333333-0.00145713734567903-0.0106261959876544
1141.25651.345994714506171.34363750.00235721450617286-0.089494714506173
1151.2208NANA0.00428452932098763NA
1161.277NANA0.00798730709876542NA
1171.2894NANA-0.000745100308641905NA
1181.3067NANA-0.00374093364197534NA
1191.3898NANA-0.00928908179012342NA
1201.3661NANA-0.00709139660493828NA


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')