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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_decompose.wasp
Title produced by softwareClassical Decomposition
Date of computationFri, 06 Dec 2013 11:26:11 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/06/t1386347214q0uve7rrfgsidjl.htm/, Retrieved Fri, 29 Mar 2024 06:31:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=231333, Retrieved Fri, 29 Mar 2024 06:31:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact119
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Classical Decomposition] [Wekelijkse verkoc...] [2013-12-06 16:26:11] [a2c3dd0f33e2264da900d864c9bf37c2] [Current]
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Dataseries X:
221.102
220.892
225.537
219.334
216.126
224.573
213.991
221.865
215.382
213.962
217.009
318.110
219.662
212.650
209.307
210.541
210.609
208.910
207.541
207.699
205.005
205.747
203.644
229.937
214.446
210.194
206.535
216.524
198.243
208.274
207.493
215.525
207.562
213.355
209.048
220.497
214.563
211.571
216.385
211.496
209.683
206.304
213.925
204.829
205.729
200.296
207.960
207.729
208.327
207.794
213.700
213.136
210.354
202.205
220.425
210.038
205.201
197.441
200.021
203.165
201.699
201.003
232.308
211.412
209.661
213.587
193.611
192.543
196.040
191.407
189.726
191.272
187.924
198.213
199.352
199.289
195.475
198.045
197.615
189.015
189.668
189.120
194.168
192.304
185.913
197.599
186.085
190.566
187.054
193.222
189.856
190.608
190.588
186.773
183.510
180.106
180.150
178.412
182.353
203.805
186.054
184.290
187.483
187.111
189.561
184.439
182.985
183.828
184.036
183.214
183.464
173.718
180.210
171.252
172.705
174.006
172.043
169.445
169.449
177.073
170.799
171.648
172.220
165.795
167.466
165.528
162.851
165.864
162.094
162.385
164.293
165.983
159.680
161.739
159.302
167.795
164.242
159.743
160.887
163.844
161.172
159.330
155.570
156.749
155.012
163.419
153.630
154.535
151.543
152.955
150.166
151.416
150.332
152.196
153.422
147.435




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 6 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231333&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]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231333&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231333&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
1221.102NANA-1.80768NA
2220.892NANA-0.0710341NA
3225.537NANA1.83153NA
4219.334NANA2.60278NA
5216.126NANA-0.963465NA
6224.573NANA-0.673305NA
7213.991226.558227.264-0.705413-12.5672
8221.865226.131226.86-0.729374-4.26579
9215.382223.652225.84-2.18864-8.26986
10213.962220.888224.798-3.90938-6.92649
11217.009221.048224.202-3.15322-4.0394
12318.11233.086223.3199.767285.0237
13219.662220.59222.398-1.80768-0.92807
14212.65221.468221.539-0.0710341-8.81772
15209.307222.348220.5161.83153-13.0407
16210.541222.344219.7412.60278-11.8032
17210.609217.879218.842-0.963465-7.26983
18208.91213.938214.612-0.673305-5.02824
19207.541210.015210.72-0.705413-2.47392
20207.699209.671210.401-0.729374-1.97229
21205.005207.994210.183-2.18864-2.9892
22205.747206.407210.317-3.90938-0.660244
23203.644206.897210.051-3.15322-3.25345
24229.937219.276209.5099.767210.6609
25214.446207.673209.48-1.807686.77326
26210.194209.733209.804-0.07103410.460534
27206.535212.069210.2371.83153-5.53366
28216.524213.263210.6612.602783.26055
29198.243210.239211.203-0.963465-11.9964
30208.274210.361211.035-0.673305-2.08736
31207.493209.941210.646-0.705413-2.4478
32215.525209.979210.708-0.7293745.54592
33207.562208.988211.176-2.18864-1.42561
34213.355207.468211.377-3.909385.88721
35209.048208.491211.644-3.153220.556888
36220.497221.806212.0399.7672-1.30912
37214.563210.417212.225-1.807684.14585
38211.571211.976212.047-0.0710341-0.405133
39216.385213.357211.5251.831533.02834
40211.496213.507210.9052.60278-2.01141
41209.683209.352210.315-0.9634650.331298
42206.304209.065209.738-0.673305-2.76053
43213.925208.241208.946-0.7054135.68441
44204.829207.799208.529-0.729374-2.97042
45205.729206.071208.26-2.18864-0.341903
46200.296204.307208.216-3.90938-4.01062
47207.96205.159208.312-3.153222.80093
48207.729217.937208.1699.7672-10.2077
49208.327206.462208.27-1.807681.86518
50207.794208.686208.757-0.0710341-0.892341
51213.7210.784208.9521.831532.91605
52213.136211.414208.8112.602781.72176
53210.354207.398208.362-0.9634652.95576
54202.205207.167207.841-0.673305-4.96245
55220.425206.669207.374-0.70541313.756
56210.038206.086206.815-0.7293743.95208
57205.201205.119207.308-2.188640.0819716
58197.441204.102208.011-3.90938-6.66079
59200.021204.757207.91-3.15322-4.73624
60203.165218.123208.3569.7672-14.958
61201.699205.905207.713-1.80768-4.20615
62201.003205.796205.867-0.0710341-4.79259
63232.308206.587204.7561.8315325.7205
64211.412206.726204.1232.602784.68638
65209.661202.479203.442-0.9634657.18201
66213.587201.845202.518-0.67330511.7423
67193.611200.743201.448-0.705413-7.13205
68192.543200.029200.758-0.729374-7.48588
69196.04197.08199.269-2.18864-1.0402
70191.407193.481197.391-3.90938-2.07416
71189.726193.141196.294-3.15322-3.41511
72191.272204.823195.0569.7672-13.5509
73187.924192.767194.575-1.80768-4.84324
74198.213194.524194.595-0.07103413.68928
75199.352196.014194.1821.831533.33822
76199.289196.424193.8212.602782.86476
77195.475192.948193.911-0.9634652.52721
78198.045193.466194.139-0.6733054.57897
79197.615193.393194.099-0.7054134.22187
80189.015193.26193.989-0.729374-4.24479
81189.668191.222193.411-2.18864-1.55415
82189.12188.585192.495-3.909380.53484
83194.168188.627191.78-3.153225.54101
84192.304200.996191.2289.7672-8.69157
85185.913188.896190.704-1.80768-2.98345
86197.599190.376190.447-0.07103417.22283
87186.085192.383190.5521.83153-6.29845
88190.566193.095190.4922.60278-2.52924
89187.054188.987189.951-0.963465-1.93312
90193.222188.325188.998-0.6733054.89705
91189.856187.544188.25-0.7054132.31154
92190.608186.481187.21-0.7293744.12708
93190.588184.067186.255-2.188646.5213
94186.773182.742186.651-3.909384.03092
95183.51184.008187.161-3.15322-0.498195
96180.106196.515186.7489.7672-16.4088
97180.15184.469186.277-1.80768-4.31886
98178.412185.961186.032-0.0710341-7.54892
99182.353187.675185.8431.83153-5.32199
100203.805188.306185.7032.6027815.4988
101186.054184.621185.584-0.9634651.43317
102184.29185.044185.717-0.673305-0.754195
103187.483185.329186.034-0.7054132.15391
104187.111185.667186.396-0.7293741.44387
105189.561184.454186.643-2.188645.10676
106184.439181.526185.436-3.909382.91284
107182.985180.785183.938-3.153222.1998
108183.828192.919183.1529.7672-9.09087
109184.036180.185181.993-1.807683.85101
110183.214180.76180.831-0.07103412.45416
111183.464181.386179.5551.831532.07755
112173.718180.803178.22.60278-7.08503
113180.21176.048177.011-0.9634654.16196
114171.252175.493176.166-0.673305-4.24074
115172.705174.628175.333-0.705413-1.92263
116174.006173.57174.3-0.7293740.435791
117172.043171.161173.349-2.188640.882472
118169.445168.641172.551-3.909380.80384
119169.449168.536171.689-3.153220.912805
120177.073180.687170.929.7672-3.61412
121170.799168.463170.271-1.807682.33585
122171.648169.45169.521-0.07103412.19803
123172.22170.599168.7671.831531.62126
124165.795170.661168.0582.60278-4.86628
125167.466166.586167.549-0.9634650.879965
126165.528166.199166.873-0.673305-0.671278
127162.851165.242165.947-0.705413-2.3908
128165.864164.342165.071-0.7293741.52233
129162.094161.931164.12-2.188640.162722
130162.385159.756163.665-3.909382.62938
131164.293160.461163.614-3.153223.83222
132165.983173.006163.2399.7672-7.02282
133159.68161.108162.916-1.80768-1.42807
134161.739162.679162.75-0.0710341-0.939716
135159.302164.459162.6271.83153-5.1567
136167.795165.064162.4612.602782.73076
137164.242161.007161.971-0.9634653.23476
138159.743160.549161.222-0.673305-0.806195
139160.887159.938160.643-0.7054130.949163
140163.844159.789160.519-0.7293744.05462
141161.172158.164160.352-2.188643.00822
142159.33155.654159.564-3.909383.6758
143155.57155.329158.482-3.153220.241263
144156.749167.437157.679.7672-10.6882
145155.012155.133156.94-1.80768-0.120778
146163.419155.905155.976-0.07103417.51412
147153.63156.838155.0061.83153-3.20795
148154.535156.86154.2582.60278-2.32528
149151.543152.907153.871-0.963465-1.36429
150152.955152.72153.393-0.6733050.235138
151150.166NANA-0.705413NA
152151.416NANA-0.729374NA
153150.332NANA-2.18864NA
154152.196NANA-3.90938NA
155153.422NANA-3.15322NA
156147.435NANA9.7672NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 221.102 & NA & NA & -1.80768 & NA \tabularnewline
2 & 220.892 & NA & NA & -0.0710341 & NA \tabularnewline
3 & 225.537 & NA & NA & 1.83153 & NA \tabularnewline
4 & 219.334 & NA & NA & 2.60278 & NA \tabularnewline
5 & 216.126 & NA & NA & -0.963465 & NA \tabularnewline
6 & 224.573 & NA & NA & -0.673305 & NA \tabularnewline
7 & 213.991 & 226.558 & 227.264 & -0.705413 & -12.5672 \tabularnewline
8 & 221.865 & 226.131 & 226.86 & -0.729374 & -4.26579 \tabularnewline
9 & 215.382 & 223.652 & 225.84 & -2.18864 & -8.26986 \tabularnewline
10 & 213.962 & 220.888 & 224.798 & -3.90938 & -6.92649 \tabularnewline
11 & 217.009 & 221.048 & 224.202 & -3.15322 & -4.0394 \tabularnewline
12 & 318.11 & 233.086 & 223.319 & 9.7672 & 85.0237 \tabularnewline
13 & 219.662 & 220.59 & 222.398 & -1.80768 & -0.92807 \tabularnewline
14 & 212.65 & 221.468 & 221.539 & -0.0710341 & -8.81772 \tabularnewline
15 & 209.307 & 222.348 & 220.516 & 1.83153 & -13.0407 \tabularnewline
16 & 210.541 & 222.344 & 219.741 & 2.60278 & -11.8032 \tabularnewline
17 & 210.609 & 217.879 & 218.842 & -0.963465 & -7.26983 \tabularnewline
18 & 208.91 & 213.938 & 214.612 & -0.673305 & -5.02824 \tabularnewline
19 & 207.541 & 210.015 & 210.72 & -0.705413 & -2.47392 \tabularnewline
20 & 207.699 & 209.671 & 210.401 & -0.729374 & -1.97229 \tabularnewline
21 & 205.005 & 207.994 & 210.183 & -2.18864 & -2.9892 \tabularnewline
22 & 205.747 & 206.407 & 210.317 & -3.90938 & -0.660244 \tabularnewline
23 & 203.644 & 206.897 & 210.051 & -3.15322 & -3.25345 \tabularnewline
24 & 229.937 & 219.276 & 209.509 & 9.7672 & 10.6609 \tabularnewline
25 & 214.446 & 207.673 & 209.48 & -1.80768 & 6.77326 \tabularnewline
26 & 210.194 & 209.733 & 209.804 & -0.0710341 & 0.460534 \tabularnewline
27 & 206.535 & 212.069 & 210.237 & 1.83153 & -5.53366 \tabularnewline
28 & 216.524 & 213.263 & 210.661 & 2.60278 & 3.26055 \tabularnewline
29 & 198.243 & 210.239 & 211.203 & -0.963465 & -11.9964 \tabularnewline
30 & 208.274 & 210.361 & 211.035 & -0.673305 & -2.08736 \tabularnewline
31 & 207.493 & 209.941 & 210.646 & -0.705413 & -2.4478 \tabularnewline
32 & 215.525 & 209.979 & 210.708 & -0.729374 & 5.54592 \tabularnewline
33 & 207.562 & 208.988 & 211.176 & -2.18864 & -1.42561 \tabularnewline
34 & 213.355 & 207.468 & 211.377 & -3.90938 & 5.88721 \tabularnewline
35 & 209.048 & 208.491 & 211.644 & -3.15322 & 0.556888 \tabularnewline
36 & 220.497 & 221.806 & 212.039 & 9.7672 & -1.30912 \tabularnewline
37 & 214.563 & 210.417 & 212.225 & -1.80768 & 4.14585 \tabularnewline
38 & 211.571 & 211.976 & 212.047 & -0.0710341 & -0.405133 \tabularnewline
39 & 216.385 & 213.357 & 211.525 & 1.83153 & 3.02834 \tabularnewline
40 & 211.496 & 213.507 & 210.905 & 2.60278 & -2.01141 \tabularnewline
41 & 209.683 & 209.352 & 210.315 & -0.963465 & 0.331298 \tabularnewline
42 & 206.304 & 209.065 & 209.738 & -0.673305 & -2.76053 \tabularnewline
43 & 213.925 & 208.241 & 208.946 & -0.705413 & 5.68441 \tabularnewline
44 & 204.829 & 207.799 & 208.529 & -0.729374 & -2.97042 \tabularnewline
45 & 205.729 & 206.071 & 208.26 & -2.18864 & -0.341903 \tabularnewline
46 & 200.296 & 204.307 & 208.216 & -3.90938 & -4.01062 \tabularnewline
47 & 207.96 & 205.159 & 208.312 & -3.15322 & 2.80093 \tabularnewline
48 & 207.729 & 217.937 & 208.169 & 9.7672 & -10.2077 \tabularnewline
49 & 208.327 & 206.462 & 208.27 & -1.80768 & 1.86518 \tabularnewline
50 & 207.794 & 208.686 & 208.757 & -0.0710341 & -0.892341 \tabularnewline
51 & 213.7 & 210.784 & 208.952 & 1.83153 & 2.91605 \tabularnewline
52 & 213.136 & 211.414 & 208.811 & 2.60278 & 1.72176 \tabularnewline
53 & 210.354 & 207.398 & 208.362 & -0.963465 & 2.95576 \tabularnewline
54 & 202.205 & 207.167 & 207.841 & -0.673305 & -4.96245 \tabularnewline
55 & 220.425 & 206.669 & 207.374 & -0.705413 & 13.756 \tabularnewline
56 & 210.038 & 206.086 & 206.815 & -0.729374 & 3.95208 \tabularnewline
57 & 205.201 & 205.119 & 207.308 & -2.18864 & 0.0819716 \tabularnewline
58 & 197.441 & 204.102 & 208.011 & -3.90938 & -6.66079 \tabularnewline
59 & 200.021 & 204.757 & 207.91 & -3.15322 & -4.73624 \tabularnewline
60 & 203.165 & 218.123 & 208.356 & 9.7672 & -14.958 \tabularnewline
61 & 201.699 & 205.905 & 207.713 & -1.80768 & -4.20615 \tabularnewline
62 & 201.003 & 205.796 & 205.867 & -0.0710341 & -4.79259 \tabularnewline
63 & 232.308 & 206.587 & 204.756 & 1.83153 & 25.7205 \tabularnewline
64 & 211.412 & 206.726 & 204.123 & 2.60278 & 4.68638 \tabularnewline
65 & 209.661 & 202.479 & 203.442 & -0.963465 & 7.18201 \tabularnewline
66 & 213.587 & 201.845 & 202.518 & -0.673305 & 11.7423 \tabularnewline
67 & 193.611 & 200.743 & 201.448 & -0.705413 & -7.13205 \tabularnewline
68 & 192.543 & 200.029 & 200.758 & -0.729374 & -7.48588 \tabularnewline
69 & 196.04 & 197.08 & 199.269 & -2.18864 & -1.0402 \tabularnewline
70 & 191.407 & 193.481 & 197.391 & -3.90938 & -2.07416 \tabularnewline
71 & 189.726 & 193.141 & 196.294 & -3.15322 & -3.41511 \tabularnewline
72 & 191.272 & 204.823 & 195.056 & 9.7672 & -13.5509 \tabularnewline
73 & 187.924 & 192.767 & 194.575 & -1.80768 & -4.84324 \tabularnewline
74 & 198.213 & 194.524 & 194.595 & -0.0710341 & 3.68928 \tabularnewline
75 & 199.352 & 196.014 & 194.182 & 1.83153 & 3.33822 \tabularnewline
76 & 199.289 & 196.424 & 193.821 & 2.60278 & 2.86476 \tabularnewline
77 & 195.475 & 192.948 & 193.911 & -0.963465 & 2.52721 \tabularnewline
78 & 198.045 & 193.466 & 194.139 & -0.673305 & 4.57897 \tabularnewline
79 & 197.615 & 193.393 & 194.099 & -0.705413 & 4.22187 \tabularnewline
80 & 189.015 & 193.26 & 193.989 & -0.729374 & -4.24479 \tabularnewline
81 & 189.668 & 191.222 & 193.411 & -2.18864 & -1.55415 \tabularnewline
82 & 189.12 & 188.585 & 192.495 & -3.90938 & 0.53484 \tabularnewline
83 & 194.168 & 188.627 & 191.78 & -3.15322 & 5.54101 \tabularnewline
84 & 192.304 & 200.996 & 191.228 & 9.7672 & -8.69157 \tabularnewline
85 & 185.913 & 188.896 & 190.704 & -1.80768 & -2.98345 \tabularnewline
86 & 197.599 & 190.376 & 190.447 & -0.0710341 & 7.22283 \tabularnewline
87 & 186.085 & 192.383 & 190.552 & 1.83153 & -6.29845 \tabularnewline
88 & 190.566 & 193.095 & 190.492 & 2.60278 & -2.52924 \tabularnewline
89 & 187.054 & 188.987 & 189.951 & -0.963465 & -1.93312 \tabularnewline
90 & 193.222 & 188.325 & 188.998 & -0.673305 & 4.89705 \tabularnewline
91 & 189.856 & 187.544 & 188.25 & -0.705413 & 2.31154 \tabularnewline
92 & 190.608 & 186.481 & 187.21 & -0.729374 & 4.12708 \tabularnewline
93 & 190.588 & 184.067 & 186.255 & -2.18864 & 6.5213 \tabularnewline
94 & 186.773 & 182.742 & 186.651 & -3.90938 & 4.03092 \tabularnewline
95 & 183.51 & 184.008 & 187.161 & -3.15322 & -0.498195 \tabularnewline
96 & 180.106 & 196.515 & 186.748 & 9.7672 & -16.4088 \tabularnewline
97 & 180.15 & 184.469 & 186.277 & -1.80768 & -4.31886 \tabularnewline
98 & 178.412 & 185.961 & 186.032 & -0.0710341 & -7.54892 \tabularnewline
99 & 182.353 & 187.675 & 185.843 & 1.83153 & -5.32199 \tabularnewline
100 & 203.805 & 188.306 & 185.703 & 2.60278 & 15.4988 \tabularnewline
101 & 186.054 & 184.621 & 185.584 & -0.963465 & 1.43317 \tabularnewline
102 & 184.29 & 185.044 & 185.717 & -0.673305 & -0.754195 \tabularnewline
103 & 187.483 & 185.329 & 186.034 & -0.705413 & 2.15391 \tabularnewline
104 & 187.111 & 185.667 & 186.396 & -0.729374 & 1.44387 \tabularnewline
105 & 189.561 & 184.454 & 186.643 & -2.18864 & 5.10676 \tabularnewline
106 & 184.439 & 181.526 & 185.436 & -3.90938 & 2.91284 \tabularnewline
107 & 182.985 & 180.785 & 183.938 & -3.15322 & 2.1998 \tabularnewline
108 & 183.828 & 192.919 & 183.152 & 9.7672 & -9.09087 \tabularnewline
109 & 184.036 & 180.185 & 181.993 & -1.80768 & 3.85101 \tabularnewline
110 & 183.214 & 180.76 & 180.831 & -0.0710341 & 2.45416 \tabularnewline
111 & 183.464 & 181.386 & 179.555 & 1.83153 & 2.07755 \tabularnewline
112 & 173.718 & 180.803 & 178.2 & 2.60278 & -7.08503 \tabularnewline
113 & 180.21 & 176.048 & 177.011 & -0.963465 & 4.16196 \tabularnewline
114 & 171.252 & 175.493 & 176.166 & -0.673305 & -4.24074 \tabularnewline
115 & 172.705 & 174.628 & 175.333 & -0.705413 & -1.92263 \tabularnewline
116 & 174.006 & 173.57 & 174.3 & -0.729374 & 0.435791 \tabularnewline
117 & 172.043 & 171.161 & 173.349 & -2.18864 & 0.882472 \tabularnewline
118 & 169.445 & 168.641 & 172.551 & -3.90938 & 0.80384 \tabularnewline
119 & 169.449 & 168.536 & 171.689 & -3.15322 & 0.912805 \tabularnewline
120 & 177.073 & 180.687 & 170.92 & 9.7672 & -3.61412 \tabularnewline
121 & 170.799 & 168.463 & 170.271 & -1.80768 & 2.33585 \tabularnewline
122 & 171.648 & 169.45 & 169.521 & -0.0710341 & 2.19803 \tabularnewline
123 & 172.22 & 170.599 & 168.767 & 1.83153 & 1.62126 \tabularnewline
124 & 165.795 & 170.661 & 168.058 & 2.60278 & -4.86628 \tabularnewline
125 & 167.466 & 166.586 & 167.549 & -0.963465 & 0.879965 \tabularnewline
126 & 165.528 & 166.199 & 166.873 & -0.673305 & -0.671278 \tabularnewline
127 & 162.851 & 165.242 & 165.947 & -0.705413 & -2.3908 \tabularnewline
128 & 165.864 & 164.342 & 165.071 & -0.729374 & 1.52233 \tabularnewline
129 & 162.094 & 161.931 & 164.12 & -2.18864 & 0.162722 \tabularnewline
130 & 162.385 & 159.756 & 163.665 & -3.90938 & 2.62938 \tabularnewline
131 & 164.293 & 160.461 & 163.614 & -3.15322 & 3.83222 \tabularnewline
132 & 165.983 & 173.006 & 163.239 & 9.7672 & -7.02282 \tabularnewline
133 & 159.68 & 161.108 & 162.916 & -1.80768 & -1.42807 \tabularnewline
134 & 161.739 & 162.679 & 162.75 & -0.0710341 & -0.939716 \tabularnewline
135 & 159.302 & 164.459 & 162.627 & 1.83153 & -5.1567 \tabularnewline
136 & 167.795 & 165.064 & 162.461 & 2.60278 & 2.73076 \tabularnewline
137 & 164.242 & 161.007 & 161.971 & -0.963465 & 3.23476 \tabularnewline
138 & 159.743 & 160.549 & 161.222 & -0.673305 & -0.806195 \tabularnewline
139 & 160.887 & 159.938 & 160.643 & -0.705413 & 0.949163 \tabularnewline
140 & 163.844 & 159.789 & 160.519 & -0.729374 & 4.05462 \tabularnewline
141 & 161.172 & 158.164 & 160.352 & -2.18864 & 3.00822 \tabularnewline
142 & 159.33 & 155.654 & 159.564 & -3.90938 & 3.6758 \tabularnewline
143 & 155.57 & 155.329 & 158.482 & -3.15322 & 0.241263 \tabularnewline
144 & 156.749 & 167.437 & 157.67 & 9.7672 & -10.6882 \tabularnewline
145 & 155.012 & 155.133 & 156.94 & -1.80768 & -0.120778 \tabularnewline
146 & 163.419 & 155.905 & 155.976 & -0.0710341 & 7.51412 \tabularnewline
147 & 153.63 & 156.838 & 155.006 & 1.83153 & -3.20795 \tabularnewline
148 & 154.535 & 156.86 & 154.258 & 2.60278 & -2.32528 \tabularnewline
149 & 151.543 & 152.907 & 153.871 & -0.963465 & -1.36429 \tabularnewline
150 & 152.955 & 152.72 & 153.393 & -0.673305 & 0.235138 \tabularnewline
151 & 150.166 & NA & NA & -0.705413 & NA \tabularnewline
152 & 151.416 & NA & NA & -0.729374 & NA \tabularnewline
153 & 150.332 & NA & NA & -2.18864 & NA \tabularnewline
154 & 152.196 & NA & NA & -3.90938 & NA \tabularnewline
155 & 153.422 & NA & NA & -3.15322 & NA \tabularnewline
156 & 147.435 & NA & NA & 9.7672 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231333&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]221.102[/C][C]NA[/C][C]NA[/C][C]-1.80768[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]220.892[/C][C]NA[/C][C]NA[/C][C]-0.0710341[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]225.537[/C][C]NA[/C][C]NA[/C][C]1.83153[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]219.334[/C][C]NA[/C][C]NA[/C][C]2.60278[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]216.126[/C][C]NA[/C][C]NA[/C][C]-0.963465[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]224.573[/C][C]NA[/C][C]NA[/C][C]-0.673305[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]213.991[/C][C]226.558[/C][C]227.264[/C][C]-0.705413[/C][C]-12.5672[/C][/ROW]
[ROW][C]8[/C][C]221.865[/C][C]226.131[/C][C]226.86[/C][C]-0.729374[/C][C]-4.26579[/C][/ROW]
[ROW][C]9[/C][C]215.382[/C][C]223.652[/C][C]225.84[/C][C]-2.18864[/C][C]-8.26986[/C][/ROW]
[ROW][C]10[/C][C]213.962[/C][C]220.888[/C][C]224.798[/C][C]-3.90938[/C][C]-6.92649[/C][/ROW]
[ROW][C]11[/C][C]217.009[/C][C]221.048[/C][C]224.202[/C][C]-3.15322[/C][C]-4.0394[/C][/ROW]
[ROW][C]12[/C][C]318.11[/C][C]233.086[/C][C]223.319[/C][C]9.7672[/C][C]85.0237[/C][/ROW]
[ROW][C]13[/C][C]219.662[/C][C]220.59[/C][C]222.398[/C][C]-1.80768[/C][C]-0.92807[/C][/ROW]
[ROW][C]14[/C][C]212.65[/C][C]221.468[/C][C]221.539[/C][C]-0.0710341[/C][C]-8.81772[/C][/ROW]
[ROW][C]15[/C][C]209.307[/C][C]222.348[/C][C]220.516[/C][C]1.83153[/C][C]-13.0407[/C][/ROW]
[ROW][C]16[/C][C]210.541[/C][C]222.344[/C][C]219.741[/C][C]2.60278[/C][C]-11.8032[/C][/ROW]
[ROW][C]17[/C][C]210.609[/C][C]217.879[/C][C]218.842[/C][C]-0.963465[/C][C]-7.26983[/C][/ROW]
[ROW][C]18[/C][C]208.91[/C][C]213.938[/C][C]214.612[/C][C]-0.673305[/C][C]-5.02824[/C][/ROW]
[ROW][C]19[/C][C]207.541[/C][C]210.015[/C][C]210.72[/C][C]-0.705413[/C][C]-2.47392[/C][/ROW]
[ROW][C]20[/C][C]207.699[/C][C]209.671[/C][C]210.401[/C][C]-0.729374[/C][C]-1.97229[/C][/ROW]
[ROW][C]21[/C][C]205.005[/C][C]207.994[/C][C]210.183[/C][C]-2.18864[/C][C]-2.9892[/C][/ROW]
[ROW][C]22[/C][C]205.747[/C][C]206.407[/C][C]210.317[/C][C]-3.90938[/C][C]-0.660244[/C][/ROW]
[ROW][C]23[/C][C]203.644[/C][C]206.897[/C][C]210.051[/C][C]-3.15322[/C][C]-3.25345[/C][/ROW]
[ROW][C]24[/C][C]229.937[/C][C]219.276[/C][C]209.509[/C][C]9.7672[/C][C]10.6609[/C][/ROW]
[ROW][C]25[/C][C]214.446[/C][C]207.673[/C][C]209.48[/C][C]-1.80768[/C][C]6.77326[/C][/ROW]
[ROW][C]26[/C][C]210.194[/C][C]209.733[/C][C]209.804[/C][C]-0.0710341[/C][C]0.460534[/C][/ROW]
[ROW][C]27[/C][C]206.535[/C][C]212.069[/C][C]210.237[/C][C]1.83153[/C][C]-5.53366[/C][/ROW]
[ROW][C]28[/C][C]216.524[/C][C]213.263[/C][C]210.661[/C][C]2.60278[/C][C]3.26055[/C][/ROW]
[ROW][C]29[/C][C]198.243[/C][C]210.239[/C][C]211.203[/C][C]-0.963465[/C][C]-11.9964[/C][/ROW]
[ROW][C]30[/C][C]208.274[/C][C]210.361[/C][C]211.035[/C][C]-0.673305[/C][C]-2.08736[/C][/ROW]
[ROW][C]31[/C][C]207.493[/C][C]209.941[/C][C]210.646[/C][C]-0.705413[/C][C]-2.4478[/C][/ROW]
[ROW][C]32[/C][C]215.525[/C][C]209.979[/C][C]210.708[/C][C]-0.729374[/C][C]5.54592[/C][/ROW]
[ROW][C]33[/C][C]207.562[/C][C]208.988[/C][C]211.176[/C][C]-2.18864[/C][C]-1.42561[/C][/ROW]
[ROW][C]34[/C][C]213.355[/C][C]207.468[/C][C]211.377[/C][C]-3.90938[/C][C]5.88721[/C][/ROW]
[ROW][C]35[/C][C]209.048[/C][C]208.491[/C][C]211.644[/C][C]-3.15322[/C][C]0.556888[/C][/ROW]
[ROW][C]36[/C][C]220.497[/C][C]221.806[/C][C]212.039[/C][C]9.7672[/C][C]-1.30912[/C][/ROW]
[ROW][C]37[/C][C]214.563[/C][C]210.417[/C][C]212.225[/C][C]-1.80768[/C][C]4.14585[/C][/ROW]
[ROW][C]38[/C][C]211.571[/C][C]211.976[/C][C]212.047[/C][C]-0.0710341[/C][C]-0.405133[/C][/ROW]
[ROW][C]39[/C][C]216.385[/C][C]213.357[/C][C]211.525[/C][C]1.83153[/C][C]3.02834[/C][/ROW]
[ROW][C]40[/C][C]211.496[/C][C]213.507[/C][C]210.905[/C][C]2.60278[/C][C]-2.01141[/C][/ROW]
[ROW][C]41[/C][C]209.683[/C][C]209.352[/C][C]210.315[/C][C]-0.963465[/C][C]0.331298[/C][/ROW]
[ROW][C]42[/C][C]206.304[/C][C]209.065[/C][C]209.738[/C][C]-0.673305[/C][C]-2.76053[/C][/ROW]
[ROW][C]43[/C][C]213.925[/C][C]208.241[/C][C]208.946[/C][C]-0.705413[/C][C]5.68441[/C][/ROW]
[ROW][C]44[/C][C]204.829[/C][C]207.799[/C][C]208.529[/C][C]-0.729374[/C][C]-2.97042[/C][/ROW]
[ROW][C]45[/C][C]205.729[/C][C]206.071[/C][C]208.26[/C][C]-2.18864[/C][C]-0.341903[/C][/ROW]
[ROW][C]46[/C][C]200.296[/C][C]204.307[/C][C]208.216[/C][C]-3.90938[/C][C]-4.01062[/C][/ROW]
[ROW][C]47[/C][C]207.96[/C][C]205.159[/C][C]208.312[/C][C]-3.15322[/C][C]2.80093[/C][/ROW]
[ROW][C]48[/C][C]207.729[/C][C]217.937[/C][C]208.169[/C][C]9.7672[/C][C]-10.2077[/C][/ROW]
[ROW][C]49[/C][C]208.327[/C][C]206.462[/C][C]208.27[/C][C]-1.80768[/C][C]1.86518[/C][/ROW]
[ROW][C]50[/C][C]207.794[/C][C]208.686[/C][C]208.757[/C][C]-0.0710341[/C][C]-0.892341[/C][/ROW]
[ROW][C]51[/C][C]213.7[/C][C]210.784[/C][C]208.952[/C][C]1.83153[/C][C]2.91605[/C][/ROW]
[ROW][C]52[/C][C]213.136[/C][C]211.414[/C][C]208.811[/C][C]2.60278[/C][C]1.72176[/C][/ROW]
[ROW][C]53[/C][C]210.354[/C][C]207.398[/C][C]208.362[/C][C]-0.963465[/C][C]2.95576[/C][/ROW]
[ROW][C]54[/C][C]202.205[/C][C]207.167[/C][C]207.841[/C][C]-0.673305[/C][C]-4.96245[/C][/ROW]
[ROW][C]55[/C][C]220.425[/C][C]206.669[/C][C]207.374[/C][C]-0.705413[/C][C]13.756[/C][/ROW]
[ROW][C]56[/C][C]210.038[/C][C]206.086[/C][C]206.815[/C][C]-0.729374[/C][C]3.95208[/C][/ROW]
[ROW][C]57[/C][C]205.201[/C][C]205.119[/C][C]207.308[/C][C]-2.18864[/C][C]0.0819716[/C][/ROW]
[ROW][C]58[/C][C]197.441[/C][C]204.102[/C][C]208.011[/C][C]-3.90938[/C][C]-6.66079[/C][/ROW]
[ROW][C]59[/C][C]200.021[/C][C]204.757[/C][C]207.91[/C][C]-3.15322[/C][C]-4.73624[/C][/ROW]
[ROW][C]60[/C][C]203.165[/C][C]218.123[/C][C]208.356[/C][C]9.7672[/C][C]-14.958[/C][/ROW]
[ROW][C]61[/C][C]201.699[/C][C]205.905[/C][C]207.713[/C][C]-1.80768[/C][C]-4.20615[/C][/ROW]
[ROW][C]62[/C][C]201.003[/C][C]205.796[/C][C]205.867[/C][C]-0.0710341[/C][C]-4.79259[/C][/ROW]
[ROW][C]63[/C][C]232.308[/C][C]206.587[/C][C]204.756[/C][C]1.83153[/C][C]25.7205[/C][/ROW]
[ROW][C]64[/C][C]211.412[/C][C]206.726[/C][C]204.123[/C][C]2.60278[/C][C]4.68638[/C][/ROW]
[ROW][C]65[/C][C]209.661[/C][C]202.479[/C][C]203.442[/C][C]-0.963465[/C][C]7.18201[/C][/ROW]
[ROW][C]66[/C][C]213.587[/C][C]201.845[/C][C]202.518[/C][C]-0.673305[/C][C]11.7423[/C][/ROW]
[ROW][C]67[/C][C]193.611[/C][C]200.743[/C][C]201.448[/C][C]-0.705413[/C][C]-7.13205[/C][/ROW]
[ROW][C]68[/C][C]192.543[/C][C]200.029[/C][C]200.758[/C][C]-0.729374[/C][C]-7.48588[/C][/ROW]
[ROW][C]69[/C][C]196.04[/C][C]197.08[/C][C]199.269[/C][C]-2.18864[/C][C]-1.0402[/C][/ROW]
[ROW][C]70[/C][C]191.407[/C][C]193.481[/C][C]197.391[/C][C]-3.90938[/C][C]-2.07416[/C][/ROW]
[ROW][C]71[/C][C]189.726[/C][C]193.141[/C][C]196.294[/C][C]-3.15322[/C][C]-3.41511[/C][/ROW]
[ROW][C]72[/C][C]191.272[/C][C]204.823[/C][C]195.056[/C][C]9.7672[/C][C]-13.5509[/C][/ROW]
[ROW][C]73[/C][C]187.924[/C][C]192.767[/C][C]194.575[/C][C]-1.80768[/C][C]-4.84324[/C][/ROW]
[ROW][C]74[/C][C]198.213[/C][C]194.524[/C][C]194.595[/C][C]-0.0710341[/C][C]3.68928[/C][/ROW]
[ROW][C]75[/C][C]199.352[/C][C]196.014[/C][C]194.182[/C][C]1.83153[/C][C]3.33822[/C][/ROW]
[ROW][C]76[/C][C]199.289[/C][C]196.424[/C][C]193.821[/C][C]2.60278[/C][C]2.86476[/C][/ROW]
[ROW][C]77[/C][C]195.475[/C][C]192.948[/C][C]193.911[/C][C]-0.963465[/C][C]2.52721[/C][/ROW]
[ROW][C]78[/C][C]198.045[/C][C]193.466[/C][C]194.139[/C][C]-0.673305[/C][C]4.57897[/C][/ROW]
[ROW][C]79[/C][C]197.615[/C][C]193.393[/C][C]194.099[/C][C]-0.705413[/C][C]4.22187[/C][/ROW]
[ROW][C]80[/C][C]189.015[/C][C]193.26[/C][C]193.989[/C][C]-0.729374[/C][C]-4.24479[/C][/ROW]
[ROW][C]81[/C][C]189.668[/C][C]191.222[/C][C]193.411[/C][C]-2.18864[/C][C]-1.55415[/C][/ROW]
[ROW][C]82[/C][C]189.12[/C][C]188.585[/C][C]192.495[/C][C]-3.90938[/C][C]0.53484[/C][/ROW]
[ROW][C]83[/C][C]194.168[/C][C]188.627[/C][C]191.78[/C][C]-3.15322[/C][C]5.54101[/C][/ROW]
[ROW][C]84[/C][C]192.304[/C][C]200.996[/C][C]191.228[/C][C]9.7672[/C][C]-8.69157[/C][/ROW]
[ROW][C]85[/C][C]185.913[/C][C]188.896[/C][C]190.704[/C][C]-1.80768[/C][C]-2.98345[/C][/ROW]
[ROW][C]86[/C][C]197.599[/C][C]190.376[/C][C]190.447[/C][C]-0.0710341[/C][C]7.22283[/C][/ROW]
[ROW][C]87[/C][C]186.085[/C][C]192.383[/C][C]190.552[/C][C]1.83153[/C][C]-6.29845[/C][/ROW]
[ROW][C]88[/C][C]190.566[/C][C]193.095[/C][C]190.492[/C][C]2.60278[/C][C]-2.52924[/C][/ROW]
[ROW][C]89[/C][C]187.054[/C][C]188.987[/C][C]189.951[/C][C]-0.963465[/C][C]-1.93312[/C][/ROW]
[ROW][C]90[/C][C]193.222[/C][C]188.325[/C][C]188.998[/C][C]-0.673305[/C][C]4.89705[/C][/ROW]
[ROW][C]91[/C][C]189.856[/C][C]187.544[/C][C]188.25[/C][C]-0.705413[/C][C]2.31154[/C][/ROW]
[ROW][C]92[/C][C]190.608[/C][C]186.481[/C][C]187.21[/C][C]-0.729374[/C][C]4.12708[/C][/ROW]
[ROW][C]93[/C][C]190.588[/C][C]184.067[/C][C]186.255[/C][C]-2.18864[/C][C]6.5213[/C][/ROW]
[ROW][C]94[/C][C]186.773[/C][C]182.742[/C][C]186.651[/C][C]-3.90938[/C][C]4.03092[/C][/ROW]
[ROW][C]95[/C][C]183.51[/C][C]184.008[/C][C]187.161[/C][C]-3.15322[/C][C]-0.498195[/C][/ROW]
[ROW][C]96[/C][C]180.106[/C][C]196.515[/C][C]186.748[/C][C]9.7672[/C][C]-16.4088[/C][/ROW]
[ROW][C]97[/C][C]180.15[/C][C]184.469[/C][C]186.277[/C][C]-1.80768[/C][C]-4.31886[/C][/ROW]
[ROW][C]98[/C][C]178.412[/C][C]185.961[/C][C]186.032[/C][C]-0.0710341[/C][C]-7.54892[/C][/ROW]
[ROW][C]99[/C][C]182.353[/C][C]187.675[/C][C]185.843[/C][C]1.83153[/C][C]-5.32199[/C][/ROW]
[ROW][C]100[/C][C]203.805[/C][C]188.306[/C][C]185.703[/C][C]2.60278[/C][C]15.4988[/C][/ROW]
[ROW][C]101[/C][C]186.054[/C][C]184.621[/C][C]185.584[/C][C]-0.963465[/C][C]1.43317[/C][/ROW]
[ROW][C]102[/C][C]184.29[/C][C]185.044[/C][C]185.717[/C][C]-0.673305[/C][C]-0.754195[/C][/ROW]
[ROW][C]103[/C][C]187.483[/C][C]185.329[/C][C]186.034[/C][C]-0.705413[/C][C]2.15391[/C][/ROW]
[ROW][C]104[/C][C]187.111[/C][C]185.667[/C][C]186.396[/C][C]-0.729374[/C][C]1.44387[/C][/ROW]
[ROW][C]105[/C][C]189.561[/C][C]184.454[/C][C]186.643[/C][C]-2.18864[/C][C]5.10676[/C][/ROW]
[ROW][C]106[/C][C]184.439[/C][C]181.526[/C][C]185.436[/C][C]-3.90938[/C][C]2.91284[/C][/ROW]
[ROW][C]107[/C][C]182.985[/C][C]180.785[/C][C]183.938[/C][C]-3.15322[/C][C]2.1998[/C][/ROW]
[ROW][C]108[/C][C]183.828[/C][C]192.919[/C][C]183.152[/C][C]9.7672[/C][C]-9.09087[/C][/ROW]
[ROW][C]109[/C][C]184.036[/C][C]180.185[/C][C]181.993[/C][C]-1.80768[/C][C]3.85101[/C][/ROW]
[ROW][C]110[/C][C]183.214[/C][C]180.76[/C][C]180.831[/C][C]-0.0710341[/C][C]2.45416[/C][/ROW]
[ROW][C]111[/C][C]183.464[/C][C]181.386[/C][C]179.555[/C][C]1.83153[/C][C]2.07755[/C][/ROW]
[ROW][C]112[/C][C]173.718[/C][C]180.803[/C][C]178.2[/C][C]2.60278[/C][C]-7.08503[/C][/ROW]
[ROW][C]113[/C][C]180.21[/C][C]176.048[/C][C]177.011[/C][C]-0.963465[/C][C]4.16196[/C][/ROW]
[ROW][C]114[/C][C]171.252[/C][C]175.493[/C][C]176.166[/C][C]-0.673305[/C][C]-4.24074[/C][/ROW]
[ROW][C]115[/C][C]172.705[/C][C]174.628[/C][C]175.333[/C][C]-0.705413[/C][C]-1.92263[/C][/ROW]
[ROW][C]116[/C][C]174.006[/C][C]173.57[/C][C]174.3[/C][C]-0.729374[/C][C]0.435791[/C][/ROW]
[ROW][C]117[/C][C]172.043[/C][C]171.161[/C][C]173.349[/C][C]-2.18864[/C][C]0.882472[/C][/ROW]
[ROW][C]118[/C][C]169.445[/C][C]168.641[/C][C]172.551[/C][C]-3.90938[/C][C]0.80384[/C][/ROW]
[ROW][C]119[/C][C]169.449[/C][C]168.536[/C][C]171.689[/C][C]-3.15322[/C][C]0.912805[/C][/ROW]
[ROW][C]120[/C][C]177.073[/C][C]180.687[/C][C]170.92[/C][C]9.7672[/C][C]-3.61412[/C][/ROW]
[ROW][C]121[/C][C]170.799[/C][C]168.463[/C][C]170.271[/C][C]-1.80768[/C][C]2.33585[/C][/ROW]
[ROW][C]122[/C][C]171.648[/C][C]169.45[/C][C]169.521[/C][C]-0.0710341[/C][C]2.19803[/C][/ROW]
[ROW][C]123[/C][C]172.22[/C][C]170.599[/C][C]168.767[/C][C]1.83153[/C][C]1.62126[/C][/ROW]
[ROW][C]124[/C][C]165.795[/C][C]170.661[/C][C]168.058[/C][C]2.60278[/C][C]-4.86628[/C][/ROW]
[ROW][C]125[/C][C]167.466[/C][C]166.586[/C][C]167.549[/C][C]-0.963465[/C][C]0.879965[/C][/ROW]
[ROW][C]126[/C][C]165.528[/C][C]166.199[/C][C]166.873[/C][C]-0.673305[/C][C]-0.671278[/C][/ROW]
[ROW][C]127[/C][C]162.851[/C][C]165.242[/C][C]165.947[/C][C]-0.705413[/C][C]-2.3908[/C][/ROW]
[ROW][C]128[/C][C]165.864[/C][C]164.342[/C][C]165.071[/C][C]-0.729374[/C][C]1.52233[/C][/ROW]
[ROW][C]129[/C][C]162.094[/C][C]161.931[/C][C]164.12[/C][C]-2.18864[/C][C]0.162722[/C][/ROW]
[ROW][C]130[/C][C]162.385[/C][C]159.756[/C][C]163.665[/C][C]-3.90938[/C][C]2.62938[/C][/ROW]
[ROW][C]131[/C][C]164.293[/C][C]160.461[/C][C]163.614[/C][C]-3.15322[/C][C]3.83222[/C][/ROW]
[ROW][C]132[/C][C]165.983[/C][C]173.006[/C][C]163.239[/C][C]9.7672[/C][C]-7.02282[/C][/ROW]
[ROW][C]133[/C][C]159.68[/C][C]161.108[/C][C]162.916[/C][C]-1.80768[/C][C]-1.42807[/C][/ROW]
[ROW][C]134[/C][C]161.739[/C][C]162.679[/C][C]162.75[/C][C]-0.0710341[/C][C]-0.939716[/C][/ROW]
[ROW][C]135[/C][C]159.302[/C][C]164.459[/C][C]162.627[/C][C]1.83153[/C][C]-5.1567[/C][/ROW]
[ROW][C]136[/C][C]167.795[/C][C]165.064[/C][C]162.461[/C][C]2.60278[/C][C]2.73076[/C][/ROW]
[ROW][C]137[/C][C]164.242[/C][C]161.007[/C][C]161.971[/C][C]-0.963465[/C][C]3.23476[/C][/ROW]
[ROW][C]138[/C][C]159.743[/C][C]160.549[/C][C]161.222[/C][C]-0.673305[/C][C]-0.806195[/C][/ROW]
[ROW][C]139[/C][C]160.887[/C][C]159.938[/C][C]160.643[/C][C]-0.705413[/C][C]0.949163[/C][/ROW]
[ROW][C]140[/C][C]163.844[/C][C]159.789[/C][C]160.519[/C][C]-0.729374[/C][C]4.05462[/C][/ROW]
[ROW][C]141[/C][C]161.172[/C][C]158.164[/C][C]160.352[/C][C]-2.18864[/C][C]3.00822[/C][/ROW]
[ROW][C]142[/C][C]159.33[/C][C]155.654[/C][C]159.564[/C][C]-3.90938[/C][C]3.6758[/C][/ROW]
[ROW][C]143[/C][C]155.57[/C][C]155.329[/C][C]158.482[/C][C]-3.15322[/C][C]0.241263[/C][/ROW]
[ROW][C]144[/C][C]156.749[/C][C]167.437[/C][C]157.67[/C][C]9.7672[/C][C]-10.6882[/C][/ROW]
[ROW][C]145[/C][C]155.012[/C][C]155.133[/C][C]156.94[/C][C]-1.80768[/C][C]-0.120778[/C][/ROW]
[ROW][C]146[/C][C]163.419[/C][C]155.905[/C][C]155.976[/C][C]-0.0710341[/C][C]7.51412[/C][/ROW]
[ROW][C]147[/C][C]153.63[/C][C]156.838[/C][C]155.006[/C][C]1.83153[/C][C]-3.20795[/C][/ROW]
[ROW][C]148[/C][C]154.535[/C][C]156.86[/C][C]154.258[/C][C]2.60278[/C][C]-2.32528[/C][/ROW]
[ROW][C]149[/C][C]151.543[/C][C]152.907[/C][C]153.871[/C][C]-0.963465[/C][C]-1.36429[/C][/ROW]
[ROW][C]150[/C][C]152.955[/C][C]152.72[/C][C]153.393[/C][C]-0.673305[/C][C]0.235138[/C][/ROW]
[ROW][C]151[/C][C]150.166[/C][C]NA[/C][C]NA[/C][C]-0.705413[/C][C]NA[/C][/ROW]
[ROW][C]152[/C][C]151.416[/C][C]NA[/C][C]NA[/C][C]-0.729374[/C][C]NA[/C][/ROW]
[ROW][C]153[/C][C]150.332[/C][C]NA[/C][C]NA[/C][C]-2.18864[/C][C]NA[/C][/ROW]
[ROW][C]154[/C][C]152.196[/C][C]NA[/C][C]NA[/C][C]-3.90938[/C][C]NA[/C][/ROW]
[ROW][C]155[/C][C]153.422[/C][C]NA[/C][C]NA[/C][C]-3.15322[/C][C]NA[/C][/ROW]
[ROW][C]156[/C][C]147.435[/C][C]NA[/C][C]NA[/C][C]9.7672[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231333&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231333&T=1

As an alternative you can also use a QR Code:  

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

Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
1221.102NANA-1.80768NA
2220.892NANA-0.0710341NA
3225.537NANA1.83153NA
4219.334NANA2.60278NA
5216.126NANA-0.963465NA
6224.573NANA-0.673305NA
7213.991226.558227.264-0.705413-12.5672
8221.865226.131226.86-0.729374-4.26579
9215.382223.652225.84-2.18864-8.26986
10213.962220.888224.798-3.90938-6.92649
11217.009221.048224.202-3.15322-4.0394
12318.11233.086223.3199.767285.0237
13219.662220.59222.398-1.80768-0.92807
14212.65221.468221.539-0.0710341-8.81772
15209.307222.348220.5161.83153-13.0407
16210.541222.344219.7412.60278-11.8032
17210.609217.879218.842-0.963465-7.26983
18208.91213.938214.612-0.673305-5.02824
19207.541210.015210.72-0.705413-2.47392
20207.699209.671210.401-0.729374-1.97229
21205.005207.994210.183-2.18864-2.9892
22205.747206.407210.317-3.90938-0.660244
23203.644206.897210.051-3.15322-3.25345
24229.937219.276209.5099.767210.6609
25214.446207.673209.48-1.807686.77326
26210.194209.733209.804-0.07103410.460534
27206.535212.069210.2371.83153-5.53366
28216.524213.263210.6612.602783.26055
29198.243210.239211.203-0.963465-11.9964
30208.274210.361211.035-0.673305-2.08736
31207.493209.941210.646-0.705413-2.4478
32215.525209.979210.708-0.7293745.54592
33207.562208.988211.176-2.18864-1.42561
34213.355207.468211.377-3.909385.88721
35209.048208.491211.644-3.153220.556888
36220.497221.806212.0399.7672-1.30912
37214.563210.417212.225-1.807684.14585
38211.571211.976212.047-0.0710341-0.405133
39216.385213.357211.5251.831533.02834
40211.496213.507210.9052.60278-2.01141
41209.683209.352210.315-0.9634650.331298
42206.304209.065209.738-0.673305-2.76053
43213.925208.241208.946-0.7054135.68441
44204.829207.799208.529-0.729374-2.97042
45205.729206.071208.26-2.18864-0.341903
46200.296204.307208.216-3.90938-4.01062
47207.96205.159208.312-3.153222.80093
48207.729217.937208.1699.7672-10.2077
49208.327206.462208.27-1.807681.86518
50207.794208.686208.757-0.0710341-0.892341
51213.7210.784208.9521.831532.91605
52213.136211.414208.8112.602781.72176
53210.354207.398208.362-0.9634652.95576
54202.205207.167207.841-0.673305-4.96245
55220.425206.669207.374-0.70541313.756
56210.038206.086206.815-0.7293743.95208
57205.201205.119207.308-2.188640.0819716
58197.441204.102208.011-3.90938-6.66079
59200.021204.757207.91-3.15322-4.73624
60203.165218.123208.3569.7672-14.958
61201.699205.905207.713-1.80768-4.20615
62201.003205.796205.867-0.0710341-4.79259
63232.308206.587204.7561.8315325.7205
64211.412206.726204.1232.602784.68638
65209.661202.479203.442-0.9634657.18201
66213.587201.845202.518-0.67330511.7423
67193.611200.743201.448-0.705413-7.13205
68192.543200.029200.758-0.729374-7.48588
69196.04197.08199.269-2.18864-1.0402
70191.407193.481197.391-3.90938-2.07416
71189.726193.141196.294-3.15322-3.41511
72191.272204.823195.0569.7672-13.5509
73187.924192.767194.575-1.80768-4.84324
74198.213194.524194.595-0.07103413.68928
75199.352196.014194.1821.831533.33822
76199.289196.424193.8212.602782.86476
77195.475192.948193.911-0.9634652.52721
78198.045193.466194.139-0.6733054.57897
79197.615193.393194.099-0.7054134.22187
80189.015193.26193.989-0.729374-4.24479
81189.668191.222193.411-2.18864-1.55415
82189.12188.585192.495-3.909380.53484
83194.168188.627191.78-3.153225.54101
84192.304200.996191.2289.7672-8.69157
85185.913188.896190.704-1.80768-2.98345
86197.599190.376190.447-0.07103417.22283
87186.085192.383190.5521.83153-6.29845
88190.566193.095190.4922.60278-2.52924
89187.054188.987189.951-0.963465-1.93312
90193.222188.325188.998-0.6733054.89705
91189.856187.544188.25-0.7054132.31154
92190.608186.481187.21-0.7293744.12708
93190.588184.067186.255-2.188646.5213
94186.773182.742186.651-3.909384.03092
95183.51184.008187.161-3.15322-0.498195
96180.106196.515186.7489.7672-16.4088
97180.15184.469186.277-1.80768-4.31886
98178.412185.961186.032-0.0710341-7.54892
99182.353187.675185.8431.83153-5.32199
100203.805188.306185.7032.6027815.4988
101186.054184.621185.584-0.9634651.43317
102184.29185.044185.717-0.673305-0.754195
103187.483185.329186.034-0.7054132.15391
104187.111185.667186.396-0.7293741.44387
105189.561184.454186.643-2.188645.10676
106184.439181.526185.436-3.909382.91284
107182.985180.785183.938-3.153222.1998
108183.828192.919183.1529.7672-9.09087
109184.036180.185181.993-1.807683.85101
110183.214180.76180.831-0.07103412.45416
111183.464181.386179.5551.831532.07755
112173.718180.803178.22.60278-7.08503
113180.21176.048177.011-0.9634654.16196
114171.252175.493176.166-0.673305-4.24074
115172.705174.628175.333-0.705413-1.92263
116174.006173.57174.3-0.7293740.435791
117172.043171.161173.349-2.188640.882472
118169.445168.641172.551-3.909380.80384
119169.449168.536171.689-3.153220.912805
120177.073180.687170.929.7672-3.61412
121170.799168.463170.271-1.807682.33585
122171.648169.45169.521-0.07103412.19803
123172.22170.599168.7671.831531.62126
124165.795170.661168.0582.60278-4.86628
125167.466166.586167.549-0.9634650.879965
126165.528166.199166.873-0.673305-0.671278
127162.851165.242165.947-0.705413-2.3908
128165.864164.342165.071-0.7293741.52233
129162.094161.931164.12-2.188640.162722
130162.385159.756163.665-3.909382.62938
131164.293160.461163.614-3.153223.83222
132165.983173.006163.2399.7672-7.02282
133159.68161.108162.916-1.80768-1.42807
134161.739162.679162.75-0.0710341-0.939716
135159.302164.459162.6271.83153-5.1567
136167.795165.064162.4612.602782.73076
137164.242161.007161.971-0.9634653.23476
138159.743160.549161.222-0.673305-0.806195
139160.887159.938160.643-0.7054130.949163
140163.844159.789160.519-0.7293744.05462
141161.172158.164160.352-2.188643.00822
142159.33155.654159.564-3.909383.6758
143155.57155.329158.482-3.153220.241263
144156.749167.437157.679.7672-10.6882
145155.012155.133156.94-1.80768-0.120778
146163.419155.905155.976-0.07103417.51412
147153.63156.838155.0061.83153-3.20795
148154.535156.86154.2582.60278-2.32528
149151.543152.907153.871-0.963465-1.36429
150152.955152.72153.393-0.6733050.235138
151150.166NANA-0.705413NA
152151.416NANA-0.729374NA
153150.332NANA-2.18864NA
154152.196NANA-3.90938NA
155153.422NANA-3.15322NA
156147.435NANA9.7672NA



Parameters (Session):
par1 = additive ; par2 = 12 ;
Parameters (R input):
par1 = additive ; par2 = 12 ;
R code (references can be found in the software module):
par2 <- '12'
par1 <- 'additive'
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$trend)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
if (par1 == 'additive') a<-table.element(a,signif(m$trend[i]+m$seasonal[i],6)) else a<-table.element(a,signif(m$trend[i]*m$seasonal[i],6))
a<-table.element(a,signif(m$trend[i],6))
a<-table.element(a,signif(m$seasonal[i],6))
a<-table.element(a,signif(m$random[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')