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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_decompose.wasp
Title produced by softwareClassical Decomposition
Date of computationTue, 12 Jan 2010 08:11:41 -0700
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/Jan/12/t1263309188o5yu30x89hd3tjz.htm/, Retrieved Tue, 07 May 2024 17:17:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=72091, Retrieved Tue, 07 May 2024 17:17:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W52
Estimated Impact138

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [] [] [1970-01-01 00:00:00] [2186dd2f385e1ccfa008ccec8e23764c]
- RMPD    [Classical Decomposition] [] [2010-01-12 15:11:41] [ab5cffebaafedfca74d2c063d2ba2ba4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
100,7
105,9
115,4
113,9
121,5
119,5
115,8
116,3
113,5
110,7
116,9
141,1
101,8
102,9
119
112,8
120,9
123,1
121,9
119,4
110,9
116,8
120,6
143,3
106,4
106,9
125,6
110,9
127
124,3
121,3
124,4
113,2
120,2
122,6
143,3
106,5
105,9
114
121,6
119,7
122,5
126,5
118,2
115,5
120,1
115,3
146,5
107,7
106,3
121,8
115,8
115,4
124,3
121,7
118,7
113,5
113,4
115,1
144,2
100,9
103,2
121,3
111,9
117,3
124,2
122
119,6
114,9
112,2
115,3
143
104
105,3
124,3
114,1
124,8
131,9
125,8
125,2
119,8
116,2
120,2
148,6
109,4
109,6
135,2
115,2
129,1
138,8
126
130,7
120,5
126,5
128
151,7
114,8
118,9
131,5
124,8
137
137,1
137
131,3
126
129,7
125,1
157,8

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=72091&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=72091&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72091&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
1100.7NANA0.882039447959413NA
2105.9NANA0.888255135787721NA
3115.4NANA1.02545098625144NA
4113.9NANA0.956832102834369NA
5121.5NANA1.02100544232997NA
6119.5NANA1.05614625476188NA
7115.8118.827281261172115.9791666666671.024557122424340.974523684889174
8116.3117.532281109365115.91.014083529847840.989515381665928
9113.5111.331553653311115.9250.9603757054415421.01947737434296
10110.7112.988467347364116.0291666666670.973793664070360.979746009472557
11116.9114.971084110623115.9583333333330.9914861727110871.01677740019848
12141.1139.993532396916116.0833333333331.205974435580041.00790370515080
13101.8102.746570194172116.48750.8820394479594130.990787330493044
14102.9103.811117932124116.8708333333330.8882551357877210.99122331066004
15119119.866674867908116.8916666666671.025450986251440.992769676235177
16112.8111.985237235477117.03750.9568321028343691.00727562654361
17120.9119.912835012312117.4458333333331.021005442329971.00823235467318
18123.1124.299612966684117.6916666666671.056146254761880.990349020901574
19121.9120.872126518011117.9751.024557122424341.00850380903852
20119.4119.999884365328118.3333333333331.014083529847840.995000958805082
21110.9114.068624413819118.7750.9603757054415420.972221770621833
22116.8115.853043709171118.9708333333330.973793664070361.00817377136164
23120.6118.131446286140119.1458333333330.9914861727110871.0208966688504
24143.3144.053646330035119.451.205974435580040.994768293970784
25106.4105.381663044951119.4750.8820394479594131.00966332211530
26106.9106.287129123132119.6583333333330.8882551357877211.00576618149275
27125.6123.015663938188119.96251.025450986251441.02100818691765
28110.9115.011218760691120.20.9568321028343690.96425375885073
29127122.954580392587120.4251.021005442329971.03290173976843
30124.3127.274424917597120.5083333333331.056146254761880.97662983023084
31121.3123.471940216163120.51251.024557122424340.982409442887507
32124.4122.171713258418120.4751.014083529847841.0182389743268
33113.2115.197065867713119.950.9603757054415420.98266391723895
34120.2116.770032742837119.91250.973793664070361.02937369440254
35122.6119.032046226352120.0541666666670.9914861727110871.02997473274435
36143.3144.324990578041119.6751.205974435580040.99289803814339
37106.5105.683026523004119.8166666666670.8820394479594131.00773041333008
38105.9106.390758888974119.7750.8882551357877210.995387203793833
39114122.656756093000119.61251.025450986251440.929422916692526
40121.6114.536789509702119.7041666666670.9568321028343691.06166761370327
41119.7121.903795624856119.3958333333331.021005442329970.981921845718096
42122.5125.919037223985119.2251.056146254761880.972847336674727
43126.5122.340658393486119.4083333333331.024557122424341.03399803189825
44118.2121.157629728571119.4751.014083529847840.97558858046995
45115.5115.069015773654119.8166666666670.9603757054415421.00374544114633
46120.1116.757860322036119.90.973793664070361.02862453687268
47115.3118.461941677043119.4791666666670.9914861727110870.973308375396516
48146.5143.963198247367119.3751.205974435580041.01762118224322
49107.7105.18320416916119.250.8820394479594131.02392773495274
50106.3105.765279230857119.0708333333330.8882551357877211.00505573069945
51121.8122.037212788807119.0083333333331.025450986251440.998056225774206
52115.8113.524142200869118.6458333333330.9568321028343691.02004734636183
53115.4120.844502478439118.3583333333331.021005442329970.954946212969763
54124.3124.893695234987118.2541666666671.056146254761880.995246395473603
55121.7120.769670805769117.8751.024557122424341.0077033346868
56118.7119.116786624752117.46251.014083529847840.996501025283155
57113.5112.664074944611117.31250.9603757054415421.00741962383129
58113.4114.059640377841117.1291666666670.973793664070360.994216706490955
59115.1116.049325323446117.0458333333330.9914861727110870.991819639443826
60144.2141.244730873830117.1208333333331.205974435580041.02092303980394
61100.9103.312545506613117.1291666666670.8820394479594130.976648087656902
62103.2104.084996598992117.1791666666670.8882551357877210.991497366307253
63121.3120.259764412637117.2751.025450986251441.00864990541469
64111.9112.220458460758117.2833333333330.9568321028343690.997144384676796
65117.3119.704379734503117.2416666666671.021005442329970.979914020357182
66124.2123.780341058093117.21.056146254761881.00339035212151
67122120.159205520324117.2791666666671.024557122424341.01531962925108
68119.6119.15058940908117.4958333333331.014083529847841.00377178655304
69114.9113.044223661348117.7083333333330.9603757054415421.01641637474738
70112.2114.834617835497117.9250.973793664070360.97705728564124
71115.3117.321732578426118.3291666666670.9914861727110870.982767620849153
72143143.465733792690118.96251.205974435580040.99675369316158
73104105.352261730019119.4416666666670.8820394479594130.9871643787441
74105.3106.442573771895119.8333333333330.8882551357877210.989265819761707
75124.3123.331844658949120.2708333333331.025450986251441.00785000292283
76114.1115.433819606110120.6416666666670.9568321028343690.988445157487979
77124.8123.554421089956121.01251.021005442329971.01008121683592
78131.9128.268962640831121.451.056146254761881.02830799660660
79125.8124.902051199547121.9083333333331.024557122424341.00718922381041
80125.2124.035091744514122.31251.014083529847841.00939176356547
81119.8118.074191418598122.9458333333330.9603757054415421.01461630658374
82116.2120.210770355886123.4458333333330.973793664070360.966635515736138
83120.2122.617921217657123.6708333333330.9914861727110870.980280849702505
84148.6149.706651496817124.13751.205974435580040.99260786687998
85109.4109.755108641083124.4333333333330.8820394479594130.996764536562537
86109.6110.739507991268124.6708333333330.8882551357877210.989710013960345
87135.2128.108737169904124.9291666666671.025450986251441.05535346758349
88115.2119.974785294144125.38750.9568321028343690.960201760041179
89129.1128.791328171240126.1416666666671.021005442329971.00239668177309
90138.8133.703715243459126.5958333333331.056146254761881.03811625389213
91126130.067526691769126.951.024557122424340.968727577165294
92130.7129.359030276215127.56251.014083529847841.01036626295761
93120.5122.732013589990127.7958333333330.9603757054415420.98181392511455
94126.5124.686163737009128.0416666666670.973793664070361.01454721364928
95128127.674500698484128.7708333333330.9914861727110871.00254944644181
96151.7155.605876444196129.0291666666671.205974435580040.974898914273352
97114.8114.150605223414129.4166666666670.8820394479594131.00568892977234
98118.9115.384342138825129.90.8882551357877211.03046910695166
99131.5133.466718573067130.1541666666671.025450986251440.985264352086466
100124.8124.882536621599130.5166666666670.9568321028343690.999339085961642
101137133.270989549463130.5291666666671.021005442329971.02798066153139
102137.1137.998710012824130.66251.056146254761880.993487547726055
103137NANA1.02455712242434NA
104131.3NANA1.01408352984784NA
105126NANA0.960375705441542NA
106129.7NANA0.97379366407036NA
107125.1NANA0.991486172711087NA
108157.8NANA1.20597443558004NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 100.7 & NA & NA & 0.882039447959413 & NA \tabularnewline
2 & 105.9 & NA & NA & 0.888255135787721 & NA \tabularnewline
3 & 115.4 & NA & NA & 1.02545098625144 & NA \tabularnewline
4 & 113.9 & NA & NA & 0.956832102834369 & NA \tabularnewline
5 & 121.5 & NA & NA & 1.02100544232997 & NA \tabularnewline
6 & 119.5 & NA & NA & 1.05614625476188 & NA \tabularnewline
7 & 115.8 & 118.827281261172 & 115.979166666667 & 1.02455712242434 & 0.974523684889174 \tabularnewline
8 & 116.3 & 117.532281109365 & 115.9 & 1.01408352984784 & 0.989515381665928 \tabularnewline
9 & 113.5 & 111.331553653311 & 115.925 & 0.960375705441542 & 1.01947737434296 \tabularnewline
10 & 110.7 & 112.988467347364 & 116.029166666667 & 0.97379366407036 & 0.979746009472557 \tabularnewline
11 & 116.9 & 114.971084110623 & 115.958333333333 & 0.991486172711087 & 1.01677740019848 \tabularnewline
12 & 141.1 & 139.993532396916 & 116.083333333333 & 1.20597443558004 & 1.00790370515080 \tabularnewline
13 & 101.8 & 102.746570194172 & 116.4875 & 0.882039447959413 & 0.990787330493044 \tabularnewline
14 & 102.9 & 103.811117932124 & 116.870833333333 & 0.888255135787721 & 0.99122331066004 \tabularnewline
15 & 119 & 119.866674867908 & 116.891666666667 & 1.02545098625144 & 0.992769676235177 \tabularnewline
16 & 112.8 & 111.985237235477 & 117.0375 & 0.956832102834369 & 1.00727562654361 \tabularnewline
17 & 120.9 & 119.912835012312 & 117.445833333333 & 1.02100544232997 & 1.00823235467318 \tabularnewline
18 & 123.1 & 124.299612966684 & 117.691666666667 & 1.05614625476188 & 0.990349020901574 \tabularnewline
19 & 121.9 & 120.872126518011 & 117.975 & 1.02455712242434 & 1.00850380903852 \tabularnewline
20 & 119.4 & 119.999884365328 & 118.333333333333 & 1.01408352984784 & 0.995000958805082 \tabularnewline
21 & 110.9 & 114.068624413819 & 118.775 & 0.960375705441542 & 0.972221770621833 \tabularnewline
22 & 116.8 & 115.853043709171 & 118.970833333333 & 0.97379366407036 & 1.00817377136164 \tabularnewline
23 & 120.6 & 118.131446286140 & 119.145833333333 & 0.991486172711087 & 1.0208966688504 \tabularnewline
24 & 143.3 & 144.053646330035 & 119.45 & 1.20597443558004 & 0.994768293970784 \tabularnewline
25 & 106.4 & 105.381663044951 & 119.475 & 0.882039447959413 & 1.00966332211530 \tabularnewline
26 & 106.9 & 106.287129123132 & 119.658333333333 & 0.888255135787721 & 1.00576618149275 \tabularnewline
27 & 125.6 & 123.015663938188 & 119.9625 & 1.02545098625144 & 1.02100818691765 \tabularnewline
28 & 110.9 & 115.011218760691 & 120.2 & 0.956832102834369 & 0.96425375885073 \tabularnewline
29 & 127 & 122.954580392587 & 120.425 & 1.02100544232997 & 1.03290173976843 \tabularnewline
30 & 124.3 & 127.274424917597 & 120.508333333333 & 1.05614625476188 & 0.97662983023084 \tabularnewline
31 & 121.3 & 123.471940216163 & 120.5125 & 1.02455712242434 & 0.982409442887507 \tabularnewline
32 & 124.4 & 122.171713258418 & 120.475 & 1.01408352984784 & 1.0182389743268 \tabularnewline
33 & 113.2 & 115.197065867713 & 119.95 & 0.960375705441542 & 0.98266391723895 \tabularnewline
34 & 120.2 & 116.770032742837 & 119.9125 & 0.97379366407036 & 1.02937369440254 \tabularnewline
35 & 122.6 & 119.032046226352 & 120.054166666667 & 0.991486172711087 & 1.02997473274435 \tabularnewline
36 & 143.3 & 144.324990578041 & 119.675 & 1.20597443558004 & 0.99289803814339 \tabularnewline
37 & 106.5 & 105.683026523004 & 119.816666666667 & 0.882039447959413 & 1.00773041333008 \tabularnewline
38 & 105.9 & 106.390758888974 & 119.775 & 0.888255135787721 & 0.995387203793833 \tabularnewline
39 & 114 & 122.656756093000 & 119.6125 & 1.02545098625144 & 0.929422916692526 \tabularnewline
40 & 121.6 & 114.536789509702 & 119.704166666667 & 0.956832102834369 & 1.06166761370327 \tabularnewline
41 & 119.7 & 121.903795624856 & 119.395833333333 & 1.02100544232997 & 0.981921845718096 \tabularnewline
42 & 122.5 & 125.919037223985 & 119.225 & 1.05614625476188 & 0.972847336674727 \tabularnewline
43 & 126.5 & 122.340658393486 & 119.408333333333 & 1.02455712242434 & 1.03399803189825 \tabularnewline
44 & 118.2 & 121.157629728571 & 119.475 & 1.01408352984784 & 0.97558858046995 \tabularnewline
45 & 115.5 & 115.069015773654 & 119.816666666667 & 0.960375705441542 & 1.00374544114633 \tabularnewline
46 & 120.1 & 116.757860322036 & 119.9 & 0.97379366407036 & 1.02862453687268 \tabularnewline
47 & 115.3 & 118.461941677043 & 119.479166666667 & 0.991486172711087 & 0.973308375396516 \tabularnewline
48 & 146.5 & 143.963198247367 & 119.375 & 1.20597443558004 & 1.01762118224322 \tabularnewline
49 & 107.7 & 105.18320416916 & 119.25 & 0.882039447959413 & 1.02392773495274 \tabularnewline
50 & 106.3 & 105.765279230857 & 119.070833333333 & 0.888255135787721 & 1.00505573069945 \tabularnewline
51 & 121.8 & 122.037212788807 & 119.008333333333 & 1.02545098625144 & 0.998056225774206 \tabularnewline
52 & 115.8 & 113.524142200869 & 118.645833333333 & 0.956832102834369 & 1.02004734636183 \tabularnewline
53 & 115.4 & 120.844502478439 & 118.358333333333 & 1.02100544232997 & 0.954946212969763 \tabularnewline
54 & 124.3 & 124.893695234987 & 118.254166666667 & 1.05614625476188 & 0.995246395473603 \tabularnewline
55 & 121.7 & 120.769670805769 & 117.875 & 1.02455712242434 & 1.0077033346868 \tabularnewline
56 & 118.7 & 119.116786624752 & 117.4625 & 1.01408352984784 & 0.996501025283155 \tabularnewline
57 & 113.5 & 112.664074944611 & 117.3125 & 0.960375705441542 & 1.00741962383129 \tabularnewline
58 & 113.4 & 114.059640377841 & 117.129166666667 & 0.97379366407036 & 0.994216706490955 \tabularnewline
59 & 115.1 & 116.049325323446 & 117.045833333333 & 0.991486172711087 & 0.991819639443826 \tabularnewline
60 & 144.2 & 141.244730873830 & 117.120833333333 & 1.20597443558004 & 1.02092303980394 \tabularnewline
61 & 100.9 & 103.312545506613 & 117.129166666667 & 0.882039447959413 & 0.976648087656902 \tabularnewline
62 & 103.2 & 104.084996598992 & 117.179166666667 & 0.888255135787721 & 0.991497366307253 \tabularnewline
63 & 121.3 & 120.259764412637 & 117.275 & 1.02545098625144 & 1.00864990541469 \tabularnewline
64 & 111.9 & 112.220458460758 & 117.283333333333 & 0.956832102834369 & 0.997144384676796 \tabularnewline
65 & 117.3 & 119.704379734503 & 117.241666666667 & 1.02100544232997 & 0.979914020357182 \tabularnewline
66 & 124.2 & 123.780341058093 & 117.2 & 1.05614625476188 & 1.00339035212151 \tabularnewline
67 & 122 & 120.159205520324 & 117.279166666667 & 1.02455712242434 & 1.01531962925108 \tabularnewline
68 & 119.6 & 119.15058940908 & 117.495833333333 & 1.01408352984784 & 1.00377178655304 \tabularnewline
69 & 114.9 & 113.044223661348 & 117.708333333333 & 0.960375705441542 & 1.01641637474738 \tabularnewline
70 & 112.2 & 114.834617835497 & 117.925 & 0.97379366407036 & 0.97705728564124 \tabularnewline
71 & 115.3 & 117.321732578426 & 118.329166666667 & 0.991486172711087 & 0.982767620849153 \tabularnewline
72 & 143 & 143.465733792690 & 118.9625 & 1.20597443558004 & 0.99675369316158 \tabularnewline
73 & 104 & 105.352261730019 & 119.441666666667 & 0.882039447959413 & 0.9871643787441 \tabularnewline
74 & 105.3 & 106.442573771895 & 119.833333333333 & 0.888255135787721 & 0.989265819761707 \tabularnewline
75 & 124.3 & 123.331844658949 & 120.270833333333 & 1.02545098625144 & 1.00785000292283 \tabularnewline
76 & 114.1 & 115.433819606110 & 120.641666666667 & 0.956832102834369 & 0.988445157487979 \tabularnewline
77 & 124.8 & 123.554421089956 & 121.0125 & 1.02100544232997 & 1.01008121683592 \tabularnewline
78 & 131.9 & 128.268962640831 & 121.45 & 1.05614625476188 & 1.02830799660660 \tabularnewline
79 & 125.8 & 124.902051199547 & 121.908333333333 & 1.02455712242434 & 1.00718922381041 \tabularnewline
80 & 125.2 & 124.035091744514 & 122.3125 & 1.01408352984784 & 1.00939176356547 \tabularnewline
81 & 119.8 & 118.074191418598 & 122.945833333333 & 0.960375705441542 & 1.01461630658374 \tabularnewline
82 & 116.2 & 120.210770355886 & 123.445833333333 & 0.97379366407036 & 0.966635515736138 \tabularnewline
83 & 120.2 & 122.617921217657 & 123.670833333333 & 0.991486172711087 & 0.980280849702505 \tabularnewline
84 & 148.6 & 149.706651496817 & 124.1375 & 1.20597443558004 & 0.99260786687998 \tabularnewline
85 & 109.4 & 109.755108641083 & 124.433333333333 & 0.882039447959413 & 0.996764536562537 \tabularnewline
86 & 109.6 & 110.739507991268 & 124.670833333333 & 0.888255135787721 & 0.989710013960345 \tabularnewline
87 & 135.2 & 128.108737169904 & 124.929166666667 & 1.02545098625144 & 1.05535346758349 \tabularnewline
88 & 115.2 & 119.974785294144 & 125.3875 & 0.956832102834369 & 0.960201760041179 \tabularnewline
89 & 129.1 & 128.791328171240 & 126.141666666667 & 1.02100544232997 & 1.00239668177309 \tabularnewline
90 & 138.8 & 133.703715243459 & 126.595833333333 & 1.05614625476188 & 1.03811625389213 \tabularnewline
91 & 126 & 130.067526691769 & 126.95 & 1.02455712242434 & 0.968727577165294 \tabularnewline
92 & 130.7 & 129.359030276215 & 127.5625 & 1.01408352984784 & 1.01036626295761 \tabularnewline
93 & 120.5 & 122.732013589990 & 127.795833333333 & 0.960375705441542 & 0.98181392511455 \tabularnewline
94 & 126.5 & 124.686163737009 & 128.041666666667 & 0.97379366407036 & 1.01454721364928 \tabularnewline
95 & 128 & 127.674500698484 & 128.770833333333 & 0.991486172711087 & 1.00254944644181 \tabularnewline
96 & 151.7 & 155.605876444196 & 129.029166666667 & 1.20597443558004 & 0.974898914273352 \tabularnewline
97 & 114.8 & 114.150605223414 & 129.416666666667 & 0.882039447959413 & 1.00568892977234 \tabularnewline
98 & 118.9 & 115.384342138825 & 129.9 & 0.888255135787721 & 1.03046910695166 \tabularnewline
99 & 131.5 & 133.466718573067 & 130.154166666667 & 1.02545098625144 & 0.985264352086466 \tabularnewline
100 & 124.8 & 124.882536621599 & 130.516666666667 & 0.956832102834369 & 0.999339085961642 \tabularnewline
101 & 137 & 133.270989549463 & 130.529166666667 & 1.02100544232997 & 1.02798066153139 \tabularnewline
102 & 137.1 & 137.998710012824 & 130.6625 & 1.05614625476188 & 0.993487547726055 \tabularnewline
103 & 137 & NA & NA & 1.02455712242434 & NA \tabularnewline
104 & 131.3 & NA & NA & 1.01408352984784 & NA \tabularnewline
105 & 126 & NA & NA & 0.960375705441542 & NA \tabularnewline
106 & 129.7 & NA & NA & 0.97379366407036 & NA \tabularnewline
107 & 125.1 & NA & NA & 0.991486172711087 & NA \tabularnewline
108 & 157.8 & NA & NA & 1.20597443558004 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=72091&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]100.7[/C][C]NA[/C][C]NA[/C][C]0.882039447959413[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]105.9[/C][C]NA[/C][C]NA[/C][C]0.888255135787721[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]115.4[/C][C]NA[/C][C]NA[/C][C]1.02545098625144[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]113.9[/C][C]NA[/C][C]NA[/C][C]0.956832102834369[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]121.5[/C][C]NA[/C][C]NA[/C][C]1.02100544232997[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]119.5[/C][C]NA[/C][C]NA[/C][C]1.05614625476188[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]115.8[/C][C]118.827281261172[/C][C]115.979166666667[/C][C]1.02455712242434[/C][C]0.974523684889174[/C][/ROW]
[ROW][C]8[/C][C]116.3[/C][C]117.532281109365[/C][C]115.9[/C][C]1.01408352984784[/C][C]0.989515381665928[/C][/ROW]
[ROW][C]9[/C][C]113.5[/C][C]111.331553653311[/C][C]115.925[/C][C]0.960375705441542[/C][C]1.01947737434296[/C][/ROW]
[ROW][C]10[/C][C]110.7[/C][C]112.988467347364[/C][C]116.029166666667[/C][C]0.97379366407036[/C][C]0.979746009472557[/C][/ROW]
[ROW][C]11[/C][C]116.9[/C][C]114.971084110623[/C][C]115.958333333333[/C][C]0.991486172711087[/C][C]1.01677740019848[/C][/ROW]
[ROW][C]12[/C][C]141.1[/C][C]139.993532396916[/C][C]116.083333333333[/C][C]1.20597443558004[/C][C]1.00790370515080[/C][/ROW]
[ROW][C]13[/C][C]101.8[/C][C]102.746570194172[/C][C]116.4875[/C][C]0.882039447959413[/C][C]0.990787330493044[/C][/ROW]
[ROW][C]14[/C][C]102.9[/C][C]103.811117932124[/C][C]116.870833333333[/C][C]0.888255135787721[/C][C]0.99122331066004[/C][/ROW]
[ROW][C]15[/C][C]119[/C][C]119.866674867908[/C][C]116.891666666667[/C][C]1.02545098625144[/C][C]0.992769676235177[/C][/ROW]
[ROW][C]16[/C][C]112.8[/C][C]111.985237235477[/C][C]117.0375[/C][C]0.956832102834369[/C][C]1.00727562654361[/C][/ROW]
[ROW][C]17[/C][C]120.9[/C][C]119.912835012312[/C][C]117.445833333333[/C][C]1.02100544232997[/C][C]1.00823235467318[/C][/ROW]
[ROW][C]18[/C][C]123.1[/C][C]124.299612966684[/C][C]117.691666666667[/C][C]1.05614625476188[/C][C]0.990349020901574[/C][/ROW]
[ROW][C]19[/C][C]121.9[/C][C]120.872126518011[/C][C]117.975[/C][C]1.02455712242434[/C][C]1.00850380903852[/C][/ROW]
[ROW][C]20[/C][C]119.4[/C][C]119.999884365328[/C][C]118.333333333333[/C][C]1.01408352984784[/C][C]0.995000958805082[/C][/ROW]
[ROW][C]21[/C][C]110.9[/C][C]114.068624413819[/C][C]118.775[/C][C]0.960375705441542[/C][C]0.972221770621833[/C][/ROW]
[ROW][C]22[/C][C]116.8[/C][C]115.853043709171[/C][C]118.970833333333[/C][C]0.97379366407036[/C][C]1.00817377136164[/C][/ROW]
[ROW][C]23[/C][C]120.6[/C][C]118.131446286140[/C][C]119.145833333333[/C][C]0.991486172711087[/C][C]1.0208966688504[/C][/ROW]
[ROW][C]24[/C][C]143.3[/C][C]144.053646330035[/C][C]119.45[/C][C]1.20597443558004[/C][C]0.994768293970784[/C][/ROW]
[ROW][C]25[/C][C]106.4[/C][C]105.381663044951[/C][C]119.475[/C][C]0.882039447959413[/C][C]1.00966332211530[/C][/ROW]
[ROW][C]26[/C][C]106.9[/C][C]106.287129123132[/C][C]119.658333333333[/C][C]0.888255135787721[/C][C]1.00576618149275[/C][/ROW]
[ROW][C]27[/C][C]125.6[/C][C]123.015663938188[/C][C]119.9625[/C][C]1.02545098625144[/C][C]1.02100818691765[/C][/ROW]
[ROW][C]28[/C][C]110.9[/C][C]115.011218760691[/C][C]120.2[/C][C]0.956832102834369[/C][C]0.96425375885073[/C][/ROW]
[ROW][C]29[/C][C]127[/C][C]122.954580392587[/C][C]120.425[/C][C]1.02100544232997[/C][C]1.03290173976843[/C][/ROW]
[ROW][C]30[/C][C]124.3[/C][C]127.274424917597[/C][C]120.508333333333[/C][C]1.05614625476188[/C][C]0.97662983023084[/C][/ROW]
[ROW][C]31[/C][C]121.3[/C][C]123.471940216163[/C][C]120.5125[/C][C]1.02455712242434[/C][C]0.982409442887507[/C][/ROW]
[ROW][C]32[/C][C]124.4[/C][C]122.171713258418[/C][C]120.475[/C][C]1.01408352984784[/C][C]1.0182389743268[/C][/ROW]
[ROW][C]33[/C][C]113.2[/C][C]115.197065867713[/C][C]119.95[/C][C]0.960375705441542[/C][C]0.98266391723895[/C][/ROW]
[ROW][C]34[/C][C]120.2[/C][C]116.770032742837[/C][C]119.9125[/C][C]0.97379366407036[/C][C]1.02937369440254[/C][/ROW]
[ROW][C]35[/C][C]122.6[/C][C]119.032046226352[/C][C]120.054166666667[/C][C]0.991486172711087[/C][C]1.02997473274435[/C][/ROW]
[ROW][C]36[/C][C]143.3[/C][C]144.324990578041[/C][C]119.675[/C][C]1.20597443558004[/C][C]0.99289803814339[/C][/ROW]
[ROW][C]37[/C][C]106.5[/C][C]105.683026523004[/C][C]119.816666666667[/C][C]0.882039447959413[/C][C]1.00773041333008[/C][/ROW]
[ROW][C]38[/C][C]105.9[/C][C]106.390758888974[/C][C]119.775[/C][C]0.888255135787721[/C][C]0.995387203793833[/C][/ROW]
[ROW][C]39[/C][C]114[/C][C]122.656756093000[/C][C]119.6125[/C][C]1.02545098625144[/C][C]0.929422916692526[/C][/ROW]
[ROW][C]40[/C][C]121.6[/C][C]114.536789509702[/C][C]119.704166666667[/C][C]0.956832102834369[/C][C]1.06166761370327[/C][/ROW]
[ROW][C]41[/C][C]119.7[/C][C]121.903795624856[/C][C]119.395833333333[/C][C]1.02100544232997[/C][C]0.981921845718096[/C][/ROW]
[ROW][C]42[/C][C]122.5[/C][C]125.919037223985[/C][C]119.225[/C][C]1.05614625476188[/C][C]0.972847336674727[/C][/ROW]
[ROW][C]43[/C][C]126.5[/C][C]122.340658393486[/C][C]119.408333333333[/C][C]1.02455712242434[/C][C]1.03399803189825[/C][/ROW]
[ROW][C]44[/C][C]118.2[/C][C]121.157629728571[/C][C]119.475[/C][C]1.01408352984784[/C][C]0.97558858046995[/C][/ROW]
[ROW][C]45[/C][C]115.5[/C][C]115.069015773654[/C][C]119.816666666667[/C][C]0.960375705441542[/C][C]1.00374544114633[/C][/ROW]
[ROW][C]46[/C][C]120.1[/C][C]116.757860322036[/C][C]119.9[/C][C]0.97379366407036[/C][C]1.02862453687268[/C][/ROW]
[ROW][C]47[/C][C]115.3[/C][C]118.461941677043[/C][C]119.479166666667[/C][C]0.991486172711087[/C][C]0.973308375396516[/C][/ROW]
[ROW][C]48[/C][C]146.5[/C][C]143.963198247367[/C][C]119.375[/C][C]1.20597443558004[/C][C]1.01762118224322[/C][/ROW]
[ROW][C]49[/C][C]107.7[/C][C]105.18320416916[/C][C]119.25[/C][C]0.882039447959413[/C][C]1.02392773495274[/C][/ROW]
[ROW][C]50[/C][C]106.3[/C][C]105.765279230857[/C][C]119.070833333333[/C][C]0.888255135787721[/C][C]1.00505573069945[/C][/ROW]
[ROW][C]51[/C][C]121.8[/C][C]122.037212788807[/C][C]119.008333333333[/C][C]1.02545098625144[/C][C]0.998056225774206[/C][/ROW]
[ROW][C]52[/C][C]115.8[/C][C]113.524142200869[/C][C]118.645833333333[/C][C]0.956832102834369[/C][C]1.02004734636183[/C][/ROW]
[ROW][C]53[/C][C]115.4[/C][C]120.844502478439[/C][C]118.358333333333[/C][C]1.02100544232997[/C][C]0.954946212969763[/C][/ROW]
[ROW][C]54[/C][C]124.3[/C][C]124.893695234987[/C][C]118.254166666667[/C][C]1.05614625476188[/C][C]0.995246395473603[/C][/ROW]
[ROW][C]55[/C][C]121.7[/C][C]120.769670805769[/C][C]117.875[/C][C]1.02455712242434[/C][C]1.0077033346868[/C][/ROW]
[ROW][C]56[/C][C]118.7[/C][C]119.116786624752[/C][C]117.4625[/C][C]1.01408352984784[/C][C]0.996501025283155[/C][/ROW]
[ROW][C]57[/C][C]113.5[/C][C]112.664074944611[/C][C]117.3125[/C][C]0.960375705441542[/C][C]1.00741962383129[/C][/ROW]
[ROW][C]58[/C][C]113.4[/C][C]114.059640377841[/C][C]117.129166666667[/C][C]0.97379366407036[/C][C]0.994216706490955[/C][/ROW]
[ROW][C]59[/C][C]115.1[/C][C]116.049325323446[/C][C]117.045833333333[/C][C]0.991486172711087[/C][C]0.991819639443826[/C][/ROW]
[ROW][C]60[/C][C]144.2[/C][C]141.244730873830[/C][C]117.120833333333[/C][C]1.20597443558004[/C][C]1.02092303980394[/C][/ROW]
[ROW][C]61[/C][C]100.9[/C][C]103.312545506613[/C][C]117.129166666667[/C][C]0.882039447959413[/C][C]0.976648087656902[/C][/ROW]
[ROW][C]62[/C][C]103.2[/C][C]104.084996598992[/C][C]117.179166666667[/C][C]0.888255135787721[/C][C]0.991497366307253[/C][/ROW]
[ROW][C]63[/C][C]121.3[/C][C]120.259764412637[/C][C]117.275[/C][C]1.02545098625144[/C][C]1.00864990541469[/C][/ROW]
[ROW][C]64[/C][C]111.9[/C][C]112.220458460758[/C][C]117.283333333333[/C][C]0.956832102834369[/C][C]0.997144384676796[/C][/ROW]
[ROW][C]65[/C][C]117.3[/C][C]119.704379734503[/C][C]117.241666666667[/C][C]1.02100544232997[/C][C]0.979914020357182[/C][/ROW]
[ROW][C]66[/C][C]124.2[/C][C]123.780341058093[/C][C]117.2[/C][C]1.05614625476188[/C][C]1.00339035212151[/C][/ROW]
[ROW][C]67[/C][C]122[/C][C]120.159205520324[/C][C]117.279166666667[/C][C]1.02455712242434[/C][C]1.01531962925108[/C][/ROW]
[ROW][C]68[/C][C]119.6[/C][C]119.15058940908[/C][C]117.495833333333[/C][C]1.01408352984784[/C][C]1.00377178655304[/C][/ROW]
[ROW][C]69[/C][C]114.9[/C][C]113.044223661348[/C][C]117.708333333333[/C][C]0.960375705441542[/C][C]1.01641637474738[/C][/ROW]
[ROW][C]70[/C][C]112.2[/C][C]114.834617835497[/C][C]117.925[/C][C]0.97379366407036[/C][C]0.97705728564124[/C][/ROW]
[ROW][C]71[/C][C]115.3[/C][C]117.321732578426[/C][C]118.329166666667[/C][C]0.991486172711087[/C][C]0.982767620849153[/C][/ROW]
[ROW][C]72[/C][C]143[/C][C]143.465733792690[/C][C]118.9625[/C][C]1.20597443558004[/C][C]0.99675369316158[/C][/ROW]
[ROW][C]73[/C][C]104[/C][C]105.352261730019[/C][C]119.441666666667[/C][C]0.882039447959413[/C][C]0.9871643787441[/C][/ROW]
[ROW][C]74[/C][C]105.3[/C][C]106.442573771895[/C][C]119.833333333333[/C][C]0.888255135787721[/C][C]0.989265819761707[/C][/ROW]
[ROW][C]75[/C][C]124.3[/C][C]123.331844658949[/C][C]120.270833333333[/C][C]1.02545098625144[/C][C]1.00785000292283[/C][/ROW]
[ROW][C]76[/C][C]114.1[/C][C]115.433819606110[/C][C]120.641666666667[/C][C]0.956832102834369[/C][C]0.988445157487979[/C][/ROW]
[ROW][C]77[/C][C]124.8[/C][C]123.554421089956[/C][C]121.0125[/C][C]1.02100544232997[/C][C]1.01008121683592[/C][/ROW]
[ROW][C]78[/C][C]131.9[/C][C]128.268962640831[/C][C]121.45[/C][C]1.05614625476188[/C][C]1.02830799660660[/C][/ROW]
[ROW][C]79[/C][C]125.8[/C][C]124.902051199547[/C][C]121.908333333333[/C][C]1.02455712242434[/C][C]1.00718922381041[/C][/ROW]
[ROW][C]80[/C][C]125.2[/C][C]124.035091744514[/C][C]122.3125[/C][C]1.01408352984784[/C][C]1.00939176356547[/C][/ROW]
[ROW][C]81[/C][C]119.8[/C][C]118.074191418598[/C][C]122.945833333333[/C][C]0.960375705441542[/C][C]1.01461630658374[/C][/ROW]
[ROW][C]82[/C][C]116.2[/C][C]120.210770355886[/C][C]123.445833333333[/C][C]0.97379366407036[/C][C]0.966635515736138[/C][/ROW]
[ROW][C]83[/C][C]120.2[/C][C]122.617921217657[/C][C]123.670833333333[/C][C]0.991486172711087[/C][C]0.980280849702505[/C][/ROW]
[ROW][C]84[/C][C]148.6[/C][C]149.706651496817[/C][C]124.1375[/C][C]1.20597443558004[/C][C]0.99260786687998[/C][/ROW]
[ROW][C]85[/C][C]109.4[/C][C]109.755108641083[/C][C]124.433333333333[/C][C]0.882039447959413[/C][C]0.996764536562537[/C][/ROW]
[ROW][C]86[/C][C]109.6[/C][C]110.739507991268[/C][C]124.670833333333[/C][C]0.888255135787721[/C][C]0.989710013960345[/C][/ROW]
[ROW][C]87[/C][C]135.2[/C][C]128.108737169904[/C][C]124.929166666667[/C][C]1.02545098625144[/C][C]1.05535346758349[/C][/ROW]
[ROW][C]88[/C][C]115.2[/C][C]119.974785294144[/C][C]125.3875[/C][C]0.956832102834369[/C][C]0.960201760041179[/C][/ROW]
[ROW][C]89[/C][C]129.1[/C][C]128.791328171240[/C][C]126.141666666667[/C][C]1.02100544232997[/C][C]1.00239668177309[/C][/ROW]
[ROW][C]90[/C][C]138.8[/C][C]133.703715243459[/C][C]126.595833333333[/C][C]1.05614625476188[/C][C]1.03811625389213[/C][/ROW]
[ROW][C]91[/C][C]126[/C][C]130.067526691769[/C][C]126.95[/C][C]1.02455712242434[/C][C]0.968727577165294[/C][/ROW]
[ROW][C]92[/C][C]130.7[/C][C]129.359030276215[/C][C]127.5625[/C][C]1.01408352984784[/C][C]1.01036626295761[/C][/ROW]
[ROW][C]93[/C][C]120.5[/C][C]122.732013589990[/C][C]127.795833333333[/C][C]0.960375705441542[/C][C]0.98181392511455[/C][/ROW]
[ROW][C]94[/C][C]126.5[/C][C]124.686163737009[/C][C]128.041666666667[/C][C]0.97379366407036[/C][C]1.01454721364928[/C][/ROW]
[ROW][C]95[/C][C]128[/C][C]127.674500698484[/C][C]128.770833333333[/C][C]0.991486172711087[/C][C]1.00254944644181[/C][/ROW]
[ROW][C]96[/C][C]151.7[/C][C]155.605876444196[/C][C]129.029166666667[/C][C]1.20597443558004[/C][C]0.974898914273352[/C][/ROW]
[ROW][C]97[/C][C]114.8[/C][C]114.150605223414[/C][C]129.416666666667[/C][C]0.882039447959413[/C][C]1.00568892977234[/C][/ROW]
[ROW][C]98[/C][C]118.9[/C][C]115.384342138825[/C][C]129.9[/C][C]0.888255135787721[/C][C]1.03046910695166[/C][/ROW]
[ROW][C]99[/C][C]131.5[/C][C]133.466718573067[/C][C]130.154166666667[/C][C]1.02545098625144[/C][C]0.985264352086466[/C][/ROW]
[ROW][C]100[/C][C]124.8[/C][C]124.882536621599[/C][C]130.516666666667[/C][C]0.956832102834369[/C][C]0.999339085961642[/C][/ROW]
[ROW][C]101[/C][C]137[/C][C]133.270989549463[/C][C]130.529166666667[/C][C]1.02100544232997[/C][C]1.02798066153139[/C][/ROW]
[ROW][C]102[/C][C]137.1[/C][C]137.998710012824[/C][C]130.6625[/C][C]1.05614625476188[/C][C]0.993487547726055[/C][/ROW]
[ROW][C]103[/C][C]137[/C][C]NA[/C][C]NA[/C][C]1.02455712242434[/C][C]NA[/C][/ROW]
[ROW][C]104[/C][C]131.3[/C][C]NA[/C][C]NA[/C][C]1.01408352984784[/C][C]NA[/C][/ROW]
[ROW][C]105[/C][C]126[/C][C]NA[/C][C]NA[/C][C]0.960375705441542[/C][C]NA[/C][/ROW]
[ROW][C]106[/C][C]129.7[/C][C]NA[/C][C]NA[/C][C]0.97379366407036[/C][C]NA[/C][/ROW]
[ROW][C]107[/C][C]125.1[/C][C]NA[/C][C]NA[/C][C]0.991486172711087[/C][C]NA[/C][/ROW]
[ROW][C]108[/C][C]157.8[/C][C]NA[/C][C]NA[/C][C]1.20597443558004[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=72091&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72091&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
1100.7NANA0.882039447959413NA
2105.9NANA0.888255135787721NA
3115.4NANA1.02545098625144NA
4113.9NANA0.956832102834369NA
5121.5NANA1.02100544232997NA
6119.5NANA1.05614625476188NA
7115.8118.827281261172115.9791666666671.024557122424340.974523684889174
8116.3117.532281109365115.91.014083529847840.989515381665928
9113.5111.331553653311115.9250.9603757054415421.01947737434296
10110.7112.988467347364116.0291666666670.973793664070360.979746009472557
11116.9114.971084110623115.9583333333330.9914861727110871.01677740019848
12141.1139.993532396916116.0833333333331.205974435580041.00790370515080
13101.8102.746570194172116.48750.8820394479594130.990787330493044
14102.9103.811117932124116.8708333333330.8882551357877210.99122331066004
15119119.866674867908116.8916666666671.025450986251440.992769676235177
16112.8111.985237235477117.03750.9568321028343691.00727562654361
17120.9119.912835012312117.4458333333331.021005442329971.00823235467318
18123.1124.299612966684117.6916666666671.056146254761880.990349020901574
19121.9120.872126518011117.9751.024557122424341.00850380903852
20119.4119.999884365328118.3333333333331.014083529847840.995000958805082
21110.9114.068624413819118.7750.9603757054415420.972221770621833
22116.8115.853043709171118.9708333333330.973793664070361.00817377136164
23120.6118.131446286140119.1458333333330.9914861727110871.0208966688504
24143.3144.053646330035119.451.205974435580040.994768293970784
25106.4105.381663044951119.4750.8820394479594131.00966332211530
26106.9106.287129123132119.6583333333330.8882551357877211.00576618149275
27125.6123.015663938188119.96251.025450986251441.02100818691765
28110.9115.011218760691120.20.9568321028343690.96425375885073
29127122.954580392587120.4251.021005442329971.03290173976843
30124.3127.274424917597120.5083333333331.056146254761880.97662983023084
31121.3123.471940216163120.51251.024557122424340.982409442887507
32124.4122.171713258418120.4751.014083529847841.0182389743268
33113.2115.197065867713119.950.9603757054415420.98266391723895
34120.2116.770032742837119.91250.973793664070361.02937369440254
35122.6119.032046226352120.0541666666670.9914861727110871.02997473274435
36143.3144.324990578041119.6751.205974435580040.99289803814339
37106.5105.683026523004119.8166666666670.8820394479594131.00773041333008
38105.9106.390758888974119.7750.8882551357877210.995387203793833
39114122.656756093000119.61251.025450986251440.929422916692526
40121.6114.536789509702119.7041666666670.9568321028343691.06166761370327
41119.7121.903795624856119.3958333333331.021005442329970.981921845718096
42122.5125.919037223985119.2251.056146254761880.972847336674727
43126.5122.340658393486119.4083333333331.024557122424341.03399803189825
44118.2121.157629728571119.4751.014083529847840.97558858046995
45115.5115.069015773654119.8166666666670.9603757054415421.00374544114633
46120.1116.757860322036119.90.973793664070361.02862453687268
47115.3118.461941677043119.4791666666670.9914861727110870.973308375396516
48146.5143.963198247367119.3751.205974435580041.01762118224322
49107.7105.18320416916119.250.8820394479594131.02392773495274
50106.3105.765279230857119.0708333333330.8882551357877211.00505573069945
51121.8122.037212788807119.0083333333331.025450986251440.998056225774206
52115.8113.524142200869118.6458333333330.9568321028343691.02004734636183
53115.4120.844502478439118.3583333333331.021005442329970.954946212969763
54124.3124.893695234987118.2541666666671.056146254761880.995246395473603
55121.7120.769670805769117.8751.024557122424341.0077033346868
56118.7119.116786624752117.46251.014083529847840.996501025283155
57113.5112.664074944611117.31250.9603757054415421.00741962383129
58113.4114.059640377841117.1291666666670.973793664070360.994216706490955
59115.1116.049325323446117.0458333333330.9914861727110870.991819639443826
60144.2141.244730873830117.1208333333331.205974435580041.02092303980394
61100.9103.312545506613117.1291666666670.8820394479594130.976648087656902
62103.2104.084996598992117.1791666666670.8882551357877210.991497366307253
63121.3120.259764412637117.2751.025450986251441.00864990541469
64111.9112.220458460758117.2833333333330.9568321028343690.997144384676796
65117.3119.704379734503117.2416666666671.021005442329970.979914020357182
66124.2123.780341058093117.21.056146254761881.00339035212151
67122120.159205520324117.2791666666671.024557122424341.01531962925108
68119.6119.15058940908117.4958333333331.014083529847841.00377178655304
69114.9113.044223661348117.7083333333330.9603757054415421.01641637474738
70112.2114.834617835497117.9250.973793664070360.97705728564124
71115.3117.321732578426118.3291666666670.9914861727110870.982767620849153
72143143.465733792690118.96251.205974435580040.99675369316158
73104105.352261730019119.4416666666670.8820394479594130.9871643787441
74105.3106.442573771895119.8333333333330.8882551357877210.989265819761707
75124.3123.331844658949120.2708333333331.025450986251441.00785000292283
76114.1115.433819606110120.6416666666670.9568321028343690.988445157487979
77124.8123.554421089956121.01251.021005442329971.01008121683592
78131.9128.268962640831121.451.056146254761881.02830799660660
79125.8124.902051199547121.9083333333331.024557122424341.00718922381041
80125.2124.035091744514122.31251.014083529847841.00939176356547
81119.8118.074191418598122.9458333333330.9603757054415421.01461630658374
82116.2120.210770355886123.4458333333330.973793664070360.966635515736138
83120.2122.617921217657123.6708333333330.9914861727110870.980280849702505
84148.6149.706651496817124.13751.205974435580040.99260786687998
85109.4109.755108641083124.4333333333330.8820394479594130.996764536562537
86109.6110.739507991268124.6708333333330.8882551357877210.989710013960345
87135.2128.108737169904124.9291666666671.025450986251441.05535346758349
88115.2119.974785294144125.38750.9568321028343690.960201760041179
89129.1128.791328171240126.1416666666671.021005442329971.00239668177309
90138.8133.703715243459126.5958333333331.056146254761881.03811625389213
91126130.067526691769126.951.024557122424340.968727577165294
92130.7129.359030276215127.56251.014083529847841.01036626295761
93120.5122.732013589990127.7958333333330.9603757054415420.98181392511455
94126.5124.686163737009128.0416666666670.973793664070361.01454721364928
95128127.674500698484128.7708333333330.9914861727110871.00254944644181
96151.7155.605876444196129.0291666666671.205974435580040.974898914273352
97114.8114.150605223414129.4166666666670.8820394479594131.00568892977234
98118.9115.384342138825129.90.8882551357877211.03046910695166
99131.5133.466718573067130.1541666666671.025450986251440.985264352086466
100124.8124.882536621599130.5166666666670.9568321028343690.999339085961642
101137133.270989549463130.5291666666671.021005442329971.02798066153139
102137.1137.998710012824130.66251.056146254761880.993487547726055
103137NANA1.02455712242434NA
104131.3NANA1.01408352984784NA
105126NANA0.960375705441542NA
106129.7NANA0.97379366407036NA
107125.1NANA0.991486172711087NA
108157.8NANA1.20597443558004NA


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = multiplicative ; par2 = 12 ;
Parameters (R input):
par1 = multiplicative ; 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$trend)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
if (par1 == 'additive') a<-table.element(a,m$trend[i]+m$seasonal[i]) else a<-table.element(a,m$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')