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Author*The author of this computation has been verified*
R Software Modulerwasp_decompose.wasp
Title produced by softwareClassical Decomposition
Date of computationTue, 12 Dec 2017 14:14:11 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Dec/12/t1513084459yrabzt7n9mauzl9.htm/, Retrieved Wed, 15 May 2024 13:35:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=309070, Retrieved Wed, 15 May 2024 13:35:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact109
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Classical Decomposition] [] [2017-12-12 13:14:11] [735c2f340331127bedaa54429b3079f9] [Current]
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Dataseries X:
58,1
60,3
66,7
63,7
71,7
68,8
61,8
68,7
69,7
76,4
73,8
70,2
67,8
64
73,4
67,8
74,8
73,3
72
76,1
73
80,5
76,1
71,3
71
67,9
74,4
73,6
74,3
73,1
74,5
73,7
76,3
82
73,7
77,2
74,1
70,7
74,9
77
73
76,1
77,9
74,2
78,7
84,4
74,5
78,7
72,9
71,3
84,3
78,8
76,3
84,9
77,3
78,9
84,6
83,6
82,5
85,4
76,2
72,4
83,2
80,3
81,1
86,1
76,1
84,3
88
85,3
88,4
87,9
79,8
75,5
87,7
79,8
88
89,2
83,3
89,1
89,3
94,4
92,2
87,8
88,2
81,5
94,3
88
91,9
94,1
89,8
94,3
93,5
104,8
100,7
94,3
99,4
93,4
95,8
102,9
99,2
98
102,1
95,6
104,9
108,8
97,3
102,5
91
90
100,2
99,5
94,2
103
99,9
95,4
101,8
103,4
98
101,5
88,1
90,6
105,7
99,5
94,5
105,5
97,8
99,3
103,5
104,1
105,5
105,7
97
95,3
110,3
102,3
109,8
103,9
96,2
105,7
111
108,6
109
107,6
102,3
102,1
110,7
101,5
108,9
110,9
103,9
110,2
106,7
118,2
111,4
104,9
105,3
96,7
106,6
105,7
109,4
105,1
111,6
103,6
106,5
114,4
105,1
105,4
100,8
96
105
108,2
105,8
108,9
107
101,9
112,6
115,6
105
110,6
100,8
98,2
111,2
109,9
103,6
115,7
110,6
105,6
113,1
117,5
112,4
114,1
101,9
106,3
118,1
113,7
115
119,4
107,1
115,1
117,6
115,2
117,4
117,3
106,6
105,2
121,3
108,1
119,8
121,2
109
115,9




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time4 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=309070&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]4 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=309070&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309070&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R ServerBig Analytics Cloud Computing Center







Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
158.1NANA-4.79288NA
260.3NANA-7.73602NA
366.7NANA2.35989NA
463.7NANA-0.822141NA
571.7NANA-0.330474NA
668.8NANA2.39583NA
761.866.047367.8958-1.84852-4.24731
868.767.717968.4542-0.7362640.982098
969.771.383868.88752.49633-1.68383
1076.475.497169.33756.159570.902931
1173.871.205669.63751.568152.59435
1270.271.240769.95421.28653-1.0407
1367.865.773870.5667-4.792882.02622
146463.56471.3-7.736020.436019
1573.474.105771.74582.35989-0.705724
1667.871.23272.0542-0.822141-3.43203
1774.871.990472.3208-0.3304742.80964
1873.374.858372.46252.39583-1.55833
197270.793172.6417-1.848521.20685
2076.172.201272.9375-0.7362643.89876
217375.63873.14172.49633-2.638
2280.579.584673.4256.159570.915431
2376.175.21473.64581.568150.886019
2471.374.903273.61671.28653-3.6032
257168.919673.7125-4.792882.08038
2667.965.980673.7167-7.736021.91935
2774.476.114173.75422.35989-1.71406
2873.673.13273.9542-0.8221410.467974
2974.373.586273.9167-0.3304740.713807
3073.176.458374.06252.39583-3.35833
3174.572.58974.4375-1.848521.91102
3273.773.947174.6833-0.736264-0.247069
3376.377.317274.82082.49633-1.01717
348281.142974.98336.159570.857098
3573.776.63975.07081.56815-2.93898
3677.276.428275.14171.286530.771804
3774.170.615575.4083-4.792883.48455
3870.767.834875.5708-7.736022.86519
3974.978.051675.69172.35989-3.15156
407775.069575.8917-0.8221411.93047
417375.694576.025-0.330474-2.69453
4276.178.516776.12082.39583-2.41666
4377.974.284876.1333-1.848523.61519
4474.275.372176.1083-0.736264-1.17207
4578.779.021376.5252.49633-0.321334
4684.483.151276.99176.159571.24876
4774.578.772377.20421.56815-4.27231
4878.778.994977.70831.28653-0.294863
4972.973.257178.05-4.79288-0.357118
5071.370.484878.2208-7.736020.815186
5184.381.022478.66252.359893.27761
5278.878.052978.875-0.8221410.747141
5376.378.844579.175-0.330474-2.54453
5484.982.183379.78752.395832.71667
5577.378.355680.2042-1.84852-1.05565
5678.979.651280.3875-0.736264-0.751236
5784.682.883880.38752.496331.71617
5883.686.563780.40426.15957-2.96374
5982.582.234880.66671.568150.265186
6085.482.203280.91671.286533.1968
6176.276.123880.9167-4.792880.0762153
6272.473.355681.0917-7.73602-0.955647
6383.283.818281.45832.35989-0.618224
6480.380.848781.6708-0.822141-0.548693
6581.181.65781.9875-0.330474-0.557026
6686.184.733382.33752.395831.36667
6776.180.743182.5917-1.84852-4.64315
6884.382.134682.8708-0.7362642.16543
698885.683883.18752.496332.31617
7085.389.513783.35426.15957-4.21374
7188.485.18983.62081.568153.21102
7287.985.32484.03751.286532.57597
7379.879.673884.4667-4.792880.126215
7475.577.230684.9667-7.73602-1.73065
7587.787.580785.22082.359890.119276
7679.884.83285.6542-0.822141-5.03203
778885.861286.1917-0.3304742.13881
7889.288.741786.34582.395830.458338
7983.384.843186.6917-1.84852-1.54315
8089.186.555487.2917-0.7362642.5446
8189.390.31387.81672.49633-1.013
8294.494.592988.43336.15957-0.192902
8392.290.505688.93751.568151.69435
8487.890.590789.30421.28653-2.7907
8588.284.986389.7792-4.792883.21372
8681.582.530690.2667-7.73602-1.03065
8794.393.018290.65832.359891.28178
888890.444591.2667-0.822141-2.44453
8991.991.723792.0542-0.3304740.176307
9094.195.07592.67922.39583-0.974995
9189.891.568193.4167-1.84852-1.76815
9294.393.642994.3792-0.7362640.657098
9393.597.433894.93752.49633-3.93383
94104.8101.7895.62086.159573.0196
95100.798.11496.54581.568152.58602
9694.398.29997.01251.28653-3.99903
9799.492.894697.6875-4.792886.50538
9893.490.518198.2542-7.736022.88185
9995.8101.14398.78332.35989-5.34322
100102.998.602999.425-0.8221414.29714
10199.299.119599.45-0.3304740.0804739
10298102.04699.652.39583-4.04583
103102.197.793199.6417-1.848524.30685
10495.698.413799.15-0.736264-2.81374
105104.9101.68899.19172.496333.212
106108.8105.39399.23336.159573.4071
10797.3100.45198.88331.56815-3.15148
108102.5100.1798.88331.286532.33014
1099194.207199-4.79288-3.20712
1109091.16498.9-7.73602-1.16398
111100.2101.12298.76252.35989-0.922391
11299.597.586298.4083-0.8221411.91381
11394.297.88298.2125-0.330474-3.68203
114103100.59698.22.395832.40417
11599.996.18998.0375-1.848523.71102
11695.497.205497.9417-0.736264-1.8054
117101.8100.69298.19582.496331.10783
118103.4104.58598.4256.15957-1.18457
11998100.00698.43751.56815-2.00565
120101.599.840798.55421.286531.6593
12188.193.77898.5708-4.79288-5.67795
12290.690.909898.6458-7.73602-0.309814
123105.7101.23998.87922.359894.46094
12499.598.15798.9792-0.8221411.34297
12594.598.990499.3208-0.330474-4.49036
126105.5102.20499.80832.395833.29584
12797.898.5056100.354-1.84852-0.705647
12899.3100.185100.921-0.736264-0.884569
129103.5103.805101.3082.49633-0.304667
130104.1107.776101.6176.15957-3.67624
131105.5103.939102.3711.568151.56102
132105.7104.228102.9421.286531.4718
1339798.0155102.808-4.79288-1.01545
13495.395.2723103.008-7.736020.0276859
135110.3105.947103.5872.359894.35261
136102.3103.265104.088-0.822141-0.965359
137109.8104.09104.421-0.3304745.70964
138103.9107.042104.6462.39583-3.14166
13996.2103.097104.946-1.84852-6.89731
140105.7104.714105.45-0.7362640.986264
141111108.246105.752.496332.75367
142108.6111.893105.7336.15957-3.2929
143109107.231105.6621.568151.76935
144107.6107.203105.9171.286530.396804
145102.3101.736106.529-4.792880.563715
146102.199.3015107.038-7.736022.79852
147110.7109.406107.0462.359891.29428
148101.5106.445107.267-0.822141-4.94453
149108.9107.436107.767-0.3304741.46381
150110.9110.15107.7542.395830.750005
151103.9105.918107.767-1.84852-2.01815
152110.2106.93107.667-0.7362643.2696
153106.7109.767107.2712.49633-3.06717
154118.2113.435107.2756.159574.76543
155111.4109.039107.4711.568152.36102
156104.9108.537107.251.28653-3.63653
157105.3102.536107.329-4.792882.76372
15896.799.639107.375-7.73602-2.93898
159106.6109.452107.0922.35989-2.85156
160105.7106.103106.925-0.822141-0.402859
161109.4106.174106.504-0.3304743.22631
162105.1108.658106.2632.39583-3.55833
163111.6104.247106.096-1.848527.35269
164103.6105.143105.879-0.736264-1.5429
165106.5108.28105.7832.49633-1.77967
166114.4111.98105.8216.159572.4196
167105.1107.343105.7751.56815-2.24315
168105.4107.07105.7831.28653-1.66986
169100.8100.957105.75-4.79288-0.157118
1709697.7515105.487-7.73602-1.75148
171105108.031105.6712.35989-3.03072
172108.2105.153105.975-0.8221413.04714
173105.8105.69106.021-0.3304740.109641
174108.9108.629106.2332.395830.270838
175107104.601106.45-1.848522.39852
176101.9105.805106.542-0.736264-3.9054
177112.6109.388106.8922.496333.212
178115.6113.38107.2216.159572.2196
179105108.768107.21.56815-3.76815
180110.6108.678107.3921.286531.9218
181100.8103.032107.825-4.79288-2.23212
18298.2100.393108.129-7.73602-2.19315
183111.2110.664108.3042.359890.535943
184109.9107.582108.404-0.8221412.31797
185103.6108.461108.792-0.330474-4.86119
186115.7111.642109.2462.395834.05834
187110.6107.589109.438-1.848523.01102
188105.6109.085109.821-0.736264-3.48457
189113.1112.942110.4462.496330.157833
190117.5117.051110.8926.159570.448764
191112.4113.093111.5251.56815-0.693147
192114.1113.441112.1541.286530.659304
193101.9107.37112.162-4.79288-5.46962
194106.3104.676112.412-7.736021.62352
195118.1115.356112.9962.359892.74428
196113.7112.265113.087-0.8221411.43464
197115112.87113.2-0.3304742.13047
198119.4115.937113.5422.395833.46251
199107.1112.022113.871-1.84852-4.92231
200115.1113.285114.021-0.7362641.81543
201117.6116.605114.1082.496330.995333
202115.2120.168114.0086.15957-4.9679
203117.4115.543113.9751.568151.85685
204117.3115.537114.251.286531.76347
205106.6109.611114.404-4.79288-3.01128
206105.2106.781114.517-7.73602-1.58065
207121.3NANA2.35989NA
208108.1NANA-0.822141NA
209119.8NANA-0.330474NA
210121.2NANA2.39583NA
211109NANA-1.84852NA
212115.9NANA-0.736264NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 58.1 & NA & NA & -4.79288 & NA \tabularnewline
2 & 60.3 & NA & NA & -7.73602 & NA \tabularnewline
3 & 66.7 & NA & NA & 2.35989 & NA \tabularnewline
4 & 63.7 & NA & NA & -0.822141 & NA \tabularnewline
5 & 71.7 & NA & NA & -0.330474 & NA \tabularnewline
6 & 68.8 & NA & NA & 2.39583 & NA \tabularnewline
7 & 61.8 & 66.0473 & 67.8958 & -1.84852 & -4.24731 \tabularnewline
8 & 68.7 & 67.7179 & 68.4542 & -0.736264 & 0.982098 \tabularnewline
9 & 69.7 & 71.3838 & 68.8875 & 2.49633 & -1.68383 \tabularnewline
10 & 76.4 & 75.4971 & 69.3375 & 6.15957 & 0.902931 \tabularnewline
11 & 73.8 & 71.2056 & 69.6375 & 1.56815 & 2.59435 \tabularnewline
12 & 70.2 & 71.2407 & 69.9542 & 1.28653 & -1.0407 \tabularnewline
13 & 67.8 & 65.7738 & 70.5667 & -4.79288 & 2.02622 \tabularnewline
14 & 64 & 63.564 & 71.3 & -7.73602 & 0.436019 \tabularnewline
15 & 73.4 & 74.1057 & 71.7458 & 2.35989 & -0.705724 \tabularnewline
16 & 67.8 & 71.232 & 72.0542 & -0.822141 & -3.43203 \tabularnewline
17 & 74.8 & 71.9904 & 72.3208 & -0.330474 & 2.80964 \tabularnewline
18 & 73.3 & 74.8583 & 72.4625 & 2.39583 & -1.55833 \tabularnewline
19 & 72 & 70.7931 & 72.6417 & -1.84852 & 1.20685 \tabularnewline
20 & 76.1 & 72.2012 & 72.9375 & -0.736264 & 3.89876 \tabularnewline
21 & 73 & 75.638 & 73.1417 & 2.49633 & -2.638 \tabularnewline
22 & 80.5 & 79.5846 & 73.425 & 6.15957 & 0.915431 \tabularnewline
23 & 76.1 & 75.214 & 73.6458 & 1.56815 & 0.886019 \tabularnewline
24 & 71.3 & 74.9032 & 73.6167 & 1.28653 & -3.6032 \tabularnewline
25 & 71 & 68.9196 & 73.7125 & -4.79288 & 2.08038 \tabularnewline
26 & 67.9 & 65.9806 & 73.7167 & -7.73602 & 1.91935 \tabularnewline
27 & 74.4 & 76.1141 & 73.7542 & 2.35989 & -1.71406 \tabularnewline
28 & 73.6 & 73.132 & 73.9542 & -0.822141 & 0.467974 \tabularnewline
29 & 74.3 & 73.5862 & 73.9167 & -0.330474 & 0.713807 \tabularnewline
30 & 73.1 & 76.4583 & 74.0625 & 2.39583 & -3.35833 \tabularnewline
31 & 74.5 & 72.589 & 74.4375 & -1.84852 & 1.91102 \tabularnewline
32 & 73.7 & 73.9471 & 74.6833 & -0.736264 & -0.247069 \tabularnewline
33 & 76.3 & 77.3172 & 74.8208 & 2.49633 & -1.01717 \tabularnewline
34 & 82 & 81.1429 & 74.9833 & 6.15957 & 0.857098 \tabularnewline
35 & 73.7 & 76.639 & 75.0708 & 1.56815 & -2.93898 \tabularnewline
36 & 77.2 & 76.4282 & 75.1417 & 1.28653 & 0.771804 \tabularnewline
37 & 74.1 & 70.6155 & 75.4083 & -4.79288 & 3.48455 \tabularnewline
38 & 70.7 & 67.8348 & 75.5708 & -7.73602 & 2.86519 \tabularnewline
39 & 74.9 & 78.0516 & 75.6917 & 2.35989 & -3.15156 \tabularnewline
40 & 77 & 75.0695 & 75.8917 & -0.822141 & 1.93047 \tabularnewline
41 & 73 & 75.6945 & 76.025 & -0.330474 & -2.69453 \tabularnewline
42 & 76.1 & 78.5167 & 76.1208 & 2.39583 & -2.41666 \tabularnewline
43 & 77.9 & 74.2848 & 76.1333 & -1.84852 & 3.61519 \tabularnewline
44 & 74.2 & 75.3721 & 76.1083 & -0.736264 & -1.17207 \tabularnewline
45 & 78.7 & 79.0213 & 76.525 & 2.49633 & -0.321334 \tabularnewline
46 & 84.4 & 83.1512 & 76.9917 & 6.15957 & 1.24876 \tabularnewline
47 & 74.5 & 78.7723 & 77.2042 & 1.56815 & -4.27231 \tabularnewline
48 & 78.7 & 78.9949 & 77.7083 & 1.28653 & -0.294863 \tabularnewline
49 & 72.9 & 73.2571 & 78.05 & -4.79288 & -0.357118 \tabularnewline
50 & 71.3 & 70.4848 & 78.2208 & -7.73602 & 0.815186 \tabularnewline
51 & 84.3 & 81.0224 & 78.6625 & 2.35989 & 3.27761 \tabularnewline
52 & 78.8 & 78.0529 & 78.875 & -0.822141 & 0.747141 \tabularnewline
53 & 76.3 & 78.8445 & 79.175 & -0.330474 & -2.54453 \tabularnewline
54 & 84.9 & 82.1833 & 79.7875 & 2.39583 & 2.71667 \tabularnewline
55 & 77.3 & 78.3556 & 80.2042 & -1.84852 & -1.05565 \tabularnewline
56 & 78.9 & 79.6512 & 80.3875 & -0.736264 & -0.751236 \tabularnewline
57 & 84.6 & 82.8838 & 80.3875 & 2.49633 & 1.71617 \tabularnewline
58 & 83.6 & 86.5637 & 80.4042 & 6.15957 & -2.96374 \tabularnewline
59 & 82.5 & 82.2348 & 80.6667 & 1.56815 & 0.265186 \tabularnewline
60 & 85.4 & 82.2032 & 80.9167 & 1.28653 & 3.1968 \tabularnewline
61 & 76.2 & 76.1238 & 80.9167 & -4.79288 & 0.0762153 \tabularnewline
62 & 72.4 & 73.3556 & 81.0917 & -7.73602 & -0.955647 \tabularnewline
63 & 83.2 & 83.8182 & 81.4583 & 2.35989 & -0.618224 \tabularnewline
64 & 80.3 & 80.8487 & 81.6708 & -0.822141 & -0.548693 \tabularnewline
65 & 81.1 & 81.657 & 81.9875 & -0.330474 & -0.557026 \tabularnewline
66 & 86.1 & 84.7333 & 82.3375 & 2.39583 & 1.36667 \tabularnewline
67 & 76.1 & 80.7431 & 82.5917 & -1.84852 & -4.64315 \tabularnewline
68 & 84.3 & 82.1346 & 82.8708 & -0.736264 & 2.16543 \tabularnewline
69 & 88 & 85.6838 & 83.1875 & 2.49633 & 2.31617 \tabularnewline
70 & 85.3 & 89.5137 & 83.3542 & 6.15957 & -4.21374 \tabularnewline
71 & 88.4 & 85.189 & 83.6208 & 1.56815 & 3.21102 \tabularnewline
72 & 87.9 & 85.324 & 84.0375 & 1.28653 & 2.57597 \tabularnewline
73 & 79.8 & 79.6738 & 84.4667 & -4.79288 & 0.126215 \tabularnewline
74 & 75.5 & 77.2306 & 84.9667 & -7.73602 & -1.73065 \tabularnewline
75 & 87.7 & 87.5807 & 85.2208 & 2.35989 & 0.119276 \tabularnewline
76 & 79.8 & 84.832 & 85.6542 & -0.822141 & -5.03203 \tabularnewline
77 & 88 & 85.8612 & 86.1917 & -0.330474 & 2.13881 \tabularnewline
78 & 89.2 & 88.7417 & 86.3458 & 2.39583 & 0.458338 \tabularnewline
79 & 83.3 & 84.8431 & 86.6917 & -1.84852 & -1.54315 \tabularnewline
80 & 89.1 & 86.5554 & 87.2917 & -0.736264 & 2.5446 \tabularnewline
81 & 89.3 & 90.313 & 87.8167 & 2.49633 & -1.013 \tabularnewline
82 & 94.4 & 94.5929 & 88.4333 & 6.15957 & -0.192902 \tabularnewline
83 & 92.2 & 90.5056 & 88.9375 & 1.56815 & 1.69435 \tabularnewline
84 & 87.8 & 90.5907 & 89.3042 & 1.28653 & -2.7907 \tabularnewline
85 & 88.2 & 84.9863 & 89.7792 & -4.79288 & 3.21372 \tabularnewline
86 & 81.5 & 82.5306 & 90.2667 & -7.73602 & -1.03065 \tabularnewline
87 & 94.3 & 93.0182 & 90.6583 & 2.35989 & 1.28178 \tabularnewline
88 & 88 & 90.4445 & 91.2667 & -0.822141 & -2.44453 \tabularnewline
89 & 91.9 & 91.7237 & 92.0542 & -0.330474 & 0.176307 \tabularnewline
90 & 94.1 & 95.075 & 92.6792 & 2.39583 & -0.974995 \tabularnewline
91 & 89.8 & 91.5681 & 93.4167 & -1.84852 & -1.76815 \tabularnewline
92 & 94.3 & 93.6429 & 94.3792 & -0.736264 & 0.657098 \tabularnewline
93 & 93.5 & 97.4338 & 94.9375 & 2.49633 & -3.93383 \tabularnewline
94 & 104.8 & 101.78 & 95.6208 & 6.15957 & 3.0196 \tabularnewline
95 & 100.7 & 98.114 & 96.5458 & 1.56815 & 2.58602 \tabularnewline
96 & 94.3 & 98.299 & 97.0125 & 1.28653 & -3.99903 \tabularnewline
97 & 99.4 & 92.8946 & 97.6875 & -4.79288 & 6.50538 \tabularnewline
98 & 93.4 & 90.5181 & 98.2542 & -7.73602 & 2.88185 \tabularnewline
99 & 95.8 & 101.143 & 98.7833 & 2.35989 & -5.34322 \tabularnewline
100 & 102.9 & 98.6029 & 99.425 & -0.822141 & 4.29714 \tabularnewline
101 & 99.2 & 99.1195 & 99.45 & -0.330474 & 0.0804739 \tabularnewline
102 & 98 & 102.046 & 99.65 & 2.39583 & -4.04583 \tabularnewline
103 & 102.1 & 97.7931 & 99.6417 & -1.84852 & 4.30685 \tabularnewline
104 & 95.6 & 98.4137 & 99.15 & -0.736264 & -2.81374 \tabularnewline
105 & 104.9 & 101.688 & 99.1917 & 2.49633 & 3.212 \tabularnewline
106 & 108.8 & 105.393 & 99.2333 & 6.15957 & 3.4071 \tabularnewline
107 & 97.3 & 100.451 & 98.8833 & 1.56815 & -3.15148 \tabularnewline
108 & 102.5 & 100.17 & 98.8833 & 1.28653 & 2.33014 \tabularnewline
109 & 91 & 94.2071 & 99 & -4.79288 & -3.20712 \tabularnewline
110 & 90 & 91.164 & 98.9 & -7.73602 & -1.16398 \tabularnewline
111 & 100.2 & 101.122 & 98.7625 & 2.35989 & -0.922391 \tabularnewline
112 & 99.5 & 97.5862 & 98.4083 & -0.822141 & 1.91381 \tabularnewline
113 & 94.2 & 97.882 & 98.2125 & -0.330474 & -3.68203 \tabularnewline
114 & 103 & 100.596 & 98.2 & 2.39583 & 2.40417 \tabularnewline
115 & 99.9 & 96.189 & 98.0375 & -1.84852 & 3.71102 \tabularnewline
116 & 95.4 & 97.2054 & 97.9417 & -0.736264 & -1.8054 \tabularnewline
117 & 101.8 & 100.692 & 98.1958 & 2.49633 & 1.10783 \tabularnewline
118 & 103.4 & 104.585 & 98.425 & 6.15957 & -1.18457 \tabularnewline
119 & 98 & 100.006 & 98.4375 & 1.56815 & -2.00565 \tabularnewline
120 & 101.5 & 99.8407 & 98.5542 & 1.28653 & 1.6593 \tabularnewline
121 & 88.1 & 93.778 & 98.5708 & -4.79288 & -5.67795 \tabularnewline
122 & 90.6 & 90.9098 & 98.6458 & -7.73602 & -0.309814 \tabularnewline
123 & 105.7 & 101.239 & 98.8792 & 2.35989 & 4.46094 \tabularnewline
124 & 99.5 & 98.157 & 98.9792 & -0.822141 & 1.34297 \tabularnewline
125 & 94.5 & 98.9904 & 99.3208 & -0.330474 & -4.49036 \tabularnewline
126 & 105.5 & 102.204 & 99.8083 & 2.39583 & 3.29584 \tabularnewline
127 & 97.8 & 98.5056 & 100.354 & -1.84852 & -0.705647 \tabularnewline
128 & 99.3 & 100.185 & 100.921 & -0.736264 & -0.884569 \tabularnewline
129 & 103.5 & 103.805 & 101.308 & 2.49633 & -0.304667 \tabularnewline
130 & 104.1 & 107.776 & 101.617 & 6.15957 & -3.67624 \tabularnewline
131 & 105.5 & 103.939 & 102.371 & 1.56815 & 1.56102 \tabularnewline
132 & 105.7 & 104.228 & 102.942 & 1.28653 & 1.4718 \tabularnewline
133 & 97 & 98.0155 & 102.808 & -4.79288 & -1.01545 \tabularnewline
134 & 95.3 & 95.2723 & 103.008 & -7.73602 & 0.0276859 \tabularnewline
135 & 110.3 & 105.947 & 103.587 & 2.35989 & 4.35261 \tabularnewline
136 & 102.3 & 103.265 & 104.088 & -0.822141 & -0.965359 \tabularnewline
137 & 109.8 & 104.09 & 104.421 & -0.330474 & 5.70964 \tabularnewline
138 & 103.9 & 107.042 & 104.646 & 2.39583 & -3.14166 \tabularnewline
139 & 96.2 & 103.097 & 104.946 & -1.84852 & -6.89731 \tabularnewline
140 & 105.7 & 104.714 & 105.45 & -0.736264 & 0.986264 \tabularnewline
141 & 111 & 108.246 & 105.75 & 2.49633 & 2.75367 \tabularnewline
142 & 108.6 & 111.893 & 105.733 & 6.15957 & -3.2929 \tabularnewline
143 & 109 & 107.231 & 105.662 & 1.56815 & 1.76935 \tabularnewline
144 & 107.6 & 107.203 & 105.917 & 1.28653 & 0.396804 \tabularnewline
145 & 102.3 & 101.736 & 106.529 & -4.79288 & 0.563715 \tabularnewline
146 & 102.1 & 99.3015 & 107.038 & -7.73602 & 2.79852 \tabularnewline
147 & 110.7 & 109.406 & 107.046 & 2.35989 & 1.29428 \tabularnewline
148 & 101.5 & 106.445 & 107.267 & -0.822141 & -4.94453 \tabularnewline
149 & 108.9 & 107.436 & 107.767 & -0.330474 & 1.46381 \tabularnewline
150 & 110.9 & 110.15 & 107.754 & 2.39583 & 0.750005 \tabularnewline
151 & 103.9 & 105.918 & 107.767 & -1.84852 & -2.01815 \tabularnewline
152 & 110.2 & 106.93 & 107.667 & -0.736264 & 3.2696 \tabularnewline
153 & 106.7 & 109.767 & 107.271 & 2.49633 & -3.06717 \tabularnewline
154 & 118.2 & 113.435 & 107.275 & 6.15957 & 4.76543 \tabularnewline
155 & 111.4 & 109.039 & 107.471 & 1.56815 & 2.36102 \tabularnewline
156 & 104.9 & 108.537 & 107.25 & 1.28653 & -3.63653 \tabularnewline
157 & 105.3 & 102.536 & 107.329 & -4.79288 & 2.76372 \tabularnewline
158 & 96.7 & 99.639 & 107.375 & -7.73602 & -2.93898 \tabularnewline
159 & 106.6 & 109.452 & 107.092 & 2.35989 & -2.85156 \tabularnewline
160 & 105.7 & 106.103 & 106.925 & -0.822141 & -0.402859 \tabularnewline
161 & 109.4 & 106.174 & 106.504 & -0.330474 & 3.22631 \tabularnewline
162 & 105.1 & 108.658 & 106.263 & 2.39583 & -3.55833 \tabularnewline
163 & 111.6 & 104.247 & 106.096 & -1.84852 & 7.35269 \tabularnewline
164 & 103.6 & 105.143 & 105.879 & -0.736264 & -1.5429 \tabularnewline
165 & 106.5 & 108.28 & 105.783 & 2.49633 & -1.77967 \tabularnewline
166 & 114.4 & 111.98 & 105.821 & 6.15957 & 2.4196 \tabularnewline
167 & 105.1 & 107.343 & 105.775 & 1.56815 & -2.24315 \tabularnewline
168 & 105.4 & 107.07 & 105.783 & 1.28653 & -1.66986 \tabularnewline
169 & 100.8 & 100.957 & 105.75 & -4.79288 & -0.157118 \tabularnewline
170 & 96 & 97.7515 & 105.487 & -7.73602 & -1.75148 \tabularnewline
171 & 105 & 108.031 & 105.671 & 2.35989 & -3.03072 \tabularnewline
172 & 108.2 & 105.153 & 105.975 & -0.822141 & 3.04714 \tabularnewline
173 & 105.8 & 105.69 & 106.021 & -0.330474 & 0.109641 \tabularnewline
174 & 108.9 & 108.629 & 106.233 & 2.39583 & 0.270838 \tabularnewline
175 & 107 & 104.601 & 106.45 & -1.84852 & 2.39852 \tabularnewline
176 & 101.9 & 105.805 & 106.542 & -0.736264 & -3.9054 \tabularnewline
177 & 112.6 & 109.388 & 106.892 & 2.49633 & 3.212 \tabularnewline
178 & 115.6 & 113.38 & 107.221 & 6.15957 & 2.2196 \tabularnewline
179 & 105 & 108.768 & 107.2 & 1.56815 & -3.76815 \tabularnewline
180 & 110.6 & 108.678 & 107.392 & 1.28653 & 1.9218 \tabularnewline
181 & 100.8 & 103.032 & 107.825 & -4.79288 & -2.23212 \tabularnewline
182 & 98.2 & 100.393 & 108.129 & -7.73602 & -2.19315 \tabularnewline
183 & 111.2 & 110.664 & 108.304 & 2.35989 & 0.535943 \tabularnewline
184 & 109.9 & 107.582 & 108.404 & -0.822141 & 2.31797 \tabularnewline
185 & 103.6 & 108.461 & 108.792 & -0.330474 & -4.86119 \tabularnewline
186 & 115.7 & 111.642 & 109.246 & 2.39583 & 4.05834 \tabularnewline
187 & 110.6 & 107.589 & 109.438 & -1.84852 & 3.01102 \tabularnewline
188 & 105.6 & 109.085 & 109.821 & -0.736264 & -3.48457 \tabularnewline
189 & 113.1 & 112.942 & 110.446 & 2.49633 & 0.157833 \tabularnewline
190 & 117.5 & 117.051 & 110.892 & 6.15957 & 0.448764 \tabularnewline
191 & 112.4 & 113.093 & 111.525 & 1.56815 & -0.693147 \tabularnewline
192 & 114.1 & 113.441 & 112.154 & 1.28653 & 0.659304 \tabularnewline
193 & 101.9 & 107.37 & 112.162 & -4.79288 & -5.46962 \tabularnewline
194 & 106.3 & 104.676 & 112.412 & -7.73602 & 1.62352 \tabularnewline
195 & 118.1 & 115.356 & 112.996 & 2.35989 & 2.74428 \tabularnewline
196 & 113.7 & 112.265 & 113.087 & -0.822141 & 1.43464 \tabularnewline
197 & 115 & 112.87 & 113.2 & -0.330474 & 2.13047 \tabularnewline
198 & 119.4 & 115.937 & 113.542 & 2.39583 & 3.46251 \tabularnewline
199 & 107.1 & 112.022 & 113.871 & -1.84852 & -4.92231 \tabularnewline
200 & 115.1 & 113.285 & 114.021 & -0.736264 & 1.81543 \tabularnewline
201 & 117.6 & 116.605 & 114.108 & 2.49633 & 0.995333 \tabularnewline
202 & 115.2 & 120.168 & 114.008 & 6.15957 & -4.9679 \tabularnewline
203 & 117.4 & 115.543 & 113.975 & 1.56815 & 1.85685 \tabularnewline
204 & 117.3 & 115.537 & 114.25 & 1.28653 & 1.76347 \tabularnewline
205 & 106.6 & 109.611 & 114.404 & -4.79288 & -3.01128 \tabularnewline
206 & 105.2 & 106.781 & 114.517 & -7.73602 & -1.58065 \tabularnewline
207 & 121.3 & NA & NA & 2.35989 & NA \tabularnewline
208 & 108.1 & NA & NA & -0.822141 & NA \tabularnewline
209 & 119.8 & NA & NA & -0.330474 & NA \tabularnewline
210 & 121.2 & NA & NA & 2.39583 & NA \tabularnewline
211 & 109 & NA & NA & -1.84852 & NA \tabularnewline
212 & 115.9 & NA & NA & -0.736264 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=309070&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]58.1[/C][C]NA[/C][C]NA[/C][C]-4.79288[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]60.3[/C][C]NA[/C][C]NA[/C][C]-7.73602[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]66.7[/C][C]NA[/C][C]NA[/C][C]2.35989[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]63.7[/C][C]NA[/C][C]NA[/C][C]-0.822141[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]71.7[/C][C]NA[/C][C]NA[/C][C]-0.330474[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]68.8[/C][C]NA[/C][C]NA[/C][C]2.39583[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]61.8[/C][C]66.0473[/C][C]67.8958[/C][C]-1.84852[/C][C]-4.24731[/C][/ROW]
[ROW][C]8[/C][C]68.7[/C][C]67.7179[/C][C]68.4542[/C][C]-0.736264[/C][C]0.982098[/C][/ROW]
[ROW][C]9[/C][C]69.7[/C][C]71.3838[/C][C]68.8875[/C][C]2.49633[/C][C]-1.68383[/C][/ROW]
[ROW][C]10[/C][C]76.4[/C][C]75.4971[/C][C]69.3375[/C][C]6.15957[/C][C]0.902931[/C][/ROW]
[ROW][C]11[/C][C]73.8[/C][C]71.2056[/C][C]69.6375[/C][C]1.56815[/C][C]2.59435[/C][/ROW]
[ROW][C]12[/C][C]70.2[/C][C]71.2407[/C][C]69.9542[/C][C]1.28653[/C][C]-1.0407[/C][/ROW]
[ROW][C]13[/C][C]67.8[/C][C]65.7738[/C][C]70.5667[/C][C]-4.79288[/C][C]2.02622[/C][/ROW]
[ROW][C]14[/C][C]64[/C][C]63.564[/C][C]71.3[/C][C]-7.73602[/C][C]0.436019[/C][/ROW]
[ROW][C]15[/C][C]73.4[/C][C]74.1057[/C][C]71.7458[/C][C]2.35989[/C][C]-0.705724[/C][/ROW]
[ROW][C]16[/C][C]67.8[/C][C]71.232[/C][C]72.0542[/C][C]-0.822141[/C][C]-3.43203[/C][/ROW]
[ROW][C]17[/C][C]74.8[/C][C]71.9904[/C][C]72.3208[/C][C]-0.330474[/C][C]2.80964[/C][/ROW]
[ROW][C]18[/C][C]73.3[/C][C]74.8583[/C][C]72.4625[/C][C]2.39583[/C][C]-1.55833[/C][/ROW]
[ROW][C]19[/C][C]72[/C][C]70.7931[/C][C]72.6417[/C][C]-1.84852[/C][C]1.20685[/C][/ROW]
[ROW][C]20[/C][C]76.1[/C][C]72.2012[/C][C]72.9375[/C][C]-0.736264[/C][C]3.89876[/C][/ROW]
[ROW][C]21[/C][C]73[/C][C]75.638[/C][C]73.1417[/C][C]2.49633[/C][C]-2.638[/C][/ROW]
[ROW][C]22[/C][C]80.5[/C][C]79.5846[/C][C]73.425[/C][C]6.15957[/C][C]0.915431[/C][/ROW]
[ROW][C]23[/C][C]76.1[/C][C]75.214[/C][C]73.6458[/C][C]1.56815[/C][C]0.886019[/C][/ROW]
[ROW][C]24[/C][C]71.3[/C][C]74.9032[/C][C]73.6167[/C][C]1.28653[/C][C]-3.6032[/C][/ROW]
[ROW][C]25[/C][C]71[/C][C]68.9196[/C][C]73.7125[/C][C]-4.79288[/C][C]2.08038[/C][/ROW]
[ROW][C]26[/C][C]67.9[/C][C]65.9806[/C][C]73.7167[/C][C]-7.73602[/C][C]1.91935[/C][/ROW]
[ROW][C]27[/C][C]74.4[/C][C]76.1141[/C][C]73.7542[/C][C]2.35989[/C][C]-1.71406[/C][/ROW]
[ROW][C]28[/C][C]73.6[/C][C]73.132[/C][C]73.9542[/C][C]-0.822141[/C][C]0.467974[/C][/ROW]
[ROW][C]29[/C][C]74.3[/C][C]73.5862[/C][C]73.9167[/C][C]-0.330474[/C][C]0.713807[/C][/ROW]
[ROW][C]30[/C][C]73.1[/C][C]76.4583[/C][C]74.0625[/C][C]2.39583[/C][C]-3.35833[/C][/ROW]
[ROW][C]31[/C][C]74.5[/C][C]72.589[/C][C]74.4375[/C][C]-1.84852[/C][C]1.91102[/C][/ROW]
[ROW][C]32[/C][C]73.7[/C][C]73.9471[/C][C]74.6833[/C][C]-0.736264[/C][C]-0.247069[/C][/ROW]
[ROW][C]33[/C][C]76.3[/C][C]77.3172[/C][C]74.8208[/C][C]2.49633[/C][C]-1.01717[/C][/ROW]
[ROW][C]34[/C][C]82[/C][C]81.1429[/C][C]74.9833[/C][C]6.15957[/C][C]0.857098[/C][/ROW]
[ROW][C]35[/C][C]73.7[/C][C]76.639[/C][C]75.0708[/C][C]1.56815[/C][C]-2.93898[/C][/ROW]
[ROW][C]36[/C][C]77.2[/C][C]76.4282[/C][C]75.1417[/C][C]1.28653[/C][C]0.771804[/C][/ROW]
[ROW][C]37[/C][C]74.1[/C][C]70.6155[/C][C]75.4083[/C][C]-4.79288[/C][C]3.48455[/C][/ROW]
[ROW][C]38[/C][C]70.7[/C][C]67.8348[/C][C]75.5708[/C][C]-7.73602[/C][C]2.86519[/C][/ROW]
[ROW][C]39[/C][C]74.9[/C][C]78.0516[/C][C]75.6917[/C][C]2.35989[/C][C]-3.15156[/C][/ROW]
[ROW][C]40[/C][C]77[/C][C]75.0695[/C][C]75.8917[/C][C]-0.822141[/C][C]1.93047[/C][/ROW]
[ROW][C]41[/C][C]73[/C][C]75.6945[/C][C]76.025[/C][C]-0.330474[/C][C]-2.69453[/C][/ROW]
[ROW][C]42[/C][C]76.1[/C][C]78.5167[/C][C]76.1208[/C][C]2.39583[/C][C]-2.41666[/C][/ROW]
[ROW][C]43[/C][C]77.9[/C][C]74.2848[/C][C]76.1333[/C][C]-1.84852[/C][C]3.61519[/C][/ROW]
[ROW][C]44[/C][C]74.2[/C][C]75.3721[/C][C]76.1083[/C][C]-0.736264[/C][C]-1.17207[/C][/ROW]
[ROW][C]45[/C][C]78.7[/C][C]79.0213[/C][C]76.525[/C][C]2.49633[/C][C]-0.321334[/C][/ROW]
[ROW][C]46[/C][C]84.4[/C][C]83.1512[/C][C]76.9917[/C][C]6.15957[/C][C]1.24876[/C][/ROW]
[ROW][C]47[/C][C]74.5[/C][C]78.7723[/C][C]77.2042[/C][C]1.56815[/C][C]-4.27231[/C][/ROW]
[ROW][C]48[/C][C]78.7[/C][C]78.9949[/C][C]77.7083[/C][C]1.28653[/C][C]-0.294863[/C][/ROW]
[ROW][C]49[/C][C]72.9[/C][C]73.2571[/C][C]78.05[/C][C]-4.79288[/C][C]-0.357118[/C][/ROW]
[ROW][C]50[/C][C]71.3[/C][C]70.4848[/C][C]78.2208[/C][C]-7.73602[/C][C]0.815186[/C][/ROW]
[ROW][C]51[/C][C]84.3[/C][C]81.0224[/C][C]78.6625[/C][C]2.35989[/C][C]3.27761[/C][/ROW]
[ROW][C]52[/C][C]78.8[/C][C]78.0529[/C][C]78.875[/C][C]-0.822141[/C][C]0.747141[/C][/ROW]
[ROW][C]53[/C][C]76.3[/C][C]78.8445[/C][C]79.175[/C][C]-0.330474[/C][C]-2.54453[/C][/ROW]
[ROW][C]54[/C][C]84.9[/C][C]82.1833[/C][C]79.7875[/C][C]2.39583[/C][C]2.71667[/C][/ROW]
[ROW][C]55[/C][C]77.3[/C][C]78.3556[/C][C]80.2042[/C][C]-1.84852[/C][C]-1.05565[/C][/ROW]
[ROW][C]56[/C][C]78.9[/C][C]79.6512[/C][C]80.3875[/C][C]-0.736264[/C][C]-0.751236[/C][/ROW]
[ROW][C]57[/C][C]84.6[/C][C]82.8838[/C][C]80.3875[/C][C]2.49633[/C][C]1.71617[/C][/ROW]
[ROW][C]58[/C][C]83.6[/C][C]86.5637[/C][C]80.4042[/C][C]6.15957[/C][C]-2.96374[/C][/ROW]
[ROW][C]59[/C][C]82.5[/C][C]82.2348[/C][C]80.6667[/C][C]1.56815[/C][C]0.265186[/C][/ROW]
[ROW][C]60[/C][C]85.4[/C][C]82.2032[/C][C]80.9167[/C][C]1.28653[/C][C]3.1968[/C][/ROW]
[ROW][C]61[/C][C]76.2[/C][C]76.1238[/C][C]80.9167[/C][C]-4.79288[/C][C]0.0762153[/C][/ROW]
[ROW][C]62[/C][C]72.4[/C][C]73.3556[/C][C]81.0917[/C][C]-7.73602[/C][C]-0.955647[/C][/ROW]
[ROW][C]63[/C][C]83.2[/C][C]83.8182[/C][C]81.4583[/C][C]2.35989[/C][C]-0.618224[/C][/ROW]
[ROW][C]64[/C][C]80.3[/C][C]80.8487[/C][C]81.6708[/C][C]-0.822141[/C][C]-0.548693[/C][/ROW]
[ROW][C]65[/C][C]81.1[/C][C]81.657[/C][C]81.9875[/C][C]-0.330474[/C][C]-0.557026[/C][/ROW]
[ROW][C]66[/C][C]86.1[/C][C]84.7333[/C][C]82.3375[/C][C]2.39583[/C][C]1.36667[/C][/ROW]
[ROW][C]67[/C][C]76.1[/C][C]80.7431[/C][C]82.5917[/C][C]-1.84852[/C][C]-4.64315[/C][/ROW]
[ROW][C]68[/C][C]84.3[/C][C]82.1346[/C][C]82.8708[/C][C]-0.736264[/C][C]2.16543[/C][/ROW]
[ROW][C]69[/C][C]88[/C][C]85.6838[/C][C]83.1875[/C][C]2.49633[/C][C]2.31617[/C][/ROW]
[ROW][C]70[/C][C]85.3[/C][C]89.5137[/C][C]83.3542[/C][C]6.15957[/C][C]-4.21374[/C][/ROW]
[ROW][C]71[/C][C]88.4[/C][C]85.189[/C][C]83.6208[/C][C]1.56815[/C][C]3.21102[/C][/ROW]
[ROW][C]72[/C][C]87.9[/C][C]85.324[/C][C]84.0375[/C][C]1.28653[/C][C]2.57597[/C][/ROW]
[ROW][C]73[/C][C]79.8[/C][C]79.6738[/C][C]84.4667[/C][C]-4.79288[/C][C]0.126215[/C][/ROW]
[ROW][C]74[/C][C]75.5[/C][C]77.2306[/C][C]84.9667[/C][C]-7.73602[/C][C]-1.73065[/C][/ROW]
[ROW][C]75[/C][C]87.7[/C][C]87.5807[/C][C]85.2208[/C][C]2.35989[/C][C]0.119276[/C][/ROW]
[ROW][C]76[/C][C]79.8[/C][C]84.832[/C][C]85.6542[/C][C]-0.822141[/C][C]-5.03203[/C][/ROW]
[ROW][C]77[/C][C]88[/C][C]85.8612[/C][C]86.1917[/C][C]-0.330474[/C][C]2.13881[/C][/ROW]
[ROW][C]78[/C][C]89.2[/C][C]88.7417[/C][C]86.3458[/C][C]2.39583[/C][C]0.458338[/C][/ROW]
[ROW][C]79[/C][C]83.3[/C][C]84.8431[/C][C]86.6917[/C][C]-1.84852[/C][C]-1.54315[/C][/ROW]
[ROW][C]80[/C][C]89.1[/C][C]86.5554[/C][C]87.2917[/C][C]-0.736264[/C][C]2.5446[/C][/ROW]
[ROW][C]81[/C][C]89.3[/C][C]90.313[/C][C]87.8167[/C][C]2.49633[/C][C]-1.013[/C][/ROW]
[ROW][C]82[/C][C]94.4[/C][C]94.5929[/C][C]88.4333[/C][C]6.15957[/C][C]-0.192902[/C][/ROW]
[ROW][C]83[/C][C]92.2[/C][C]90.5056[/C][C]88.9375[/C][C]1.56815[/C][C]1.69435[/C][/ROW]
[ROW][C]84[/C][C]87.8[/C][C]90.5907[/C][C]89.3042[/C][C]1.28653[/C][C]-2.7907[/C][/ROW]
[ROW][C]85[/C][C]88.2[/C][C]84.9863[/C][C]89.7792[/C][C]-4.79288[/C][C]3.21372[/C][/ROW]
[ROW][C]86[/C][C]81.5[/C][C]82.5306[/C][C]90.2667[/C][C]-7.73602[/C][C]-1.03065[/C][/ROW]
[ROW][C]87[/C][C]94.3[/C][C]93.0182[/C][C]90.6583[/C][C]2.35989[/C][C]1.28178[/C][/ROW]
[ROW][C]88[/C][C]88[/C][C]90.4445[/C][C]91.2667[/C][C]-0.822141[/C][C]-2.44453[/C][/ROW]
[ROW][C]89[/C][C]91.9[/C][C]91.7237[/C][C]92.0542[/C][C]-0.330474[/C][C]0.176307[/C][/ROW]
[ROW][C]90[/C][C]94.1[/C][C]95.075[/C][C]92.6792[/C][C]2.39583[/C][C]-0.974995[/C][/ROW]
[ROW][C]91[/C][C]89.8[/C][C]91.5681[/C][C]93.4167[/C][C]-1.84852[/C][C]-1.76815[/C][/ROW]
[ROW][C]92[/C][C]94.3[/C][C]93.6429[/C][C]94.3792[/C][C]-0.736264[/C][C]0.657098[/C][/ROW]
[ROW][C]93[/C][C]93.5[/C][C]97.4338[/C][C]94.9375[/C][C]2.49633[/C][C]-3.93383[/C][/ROW]
[ROW][C]94[/C][C]104.8[/C][C]101.78[/C][C]95.6208[/C][C]6.15957[/C][C]3.0196[/C][/ROW]
[ROW][C]95[/C][C]100.7[/C][C]98.114[/C][C]96.5458[/C][C]1.56815[/C][C]2.58602[/C][/ROW]
[ROW][C]96[/C][C]94.3[/C][C]98.299[/C][C]97.0125[/C][C]1.28653[/C][C]-3.99903[/C][/ROW]
[ROW][C]97[/C][C]99.4[/C][C]92.8946[/C][C]97.6875[/C][C]-4.79288[/C][C]6.50538[/C][/ROW]
[ROW][C]98[/C][C]93.4[/C][C]90.5181[/C][C]98.2542[/C][C]-7.73602[/C][C]2.88185[/C][/ROW]
[ROW][C]99[/C][C]95.8[/C][C]101.143[/C][C]98.7833[/C][C]2.35989[/C][C]-5.34322[/C][/ROW]
[ROW][C]100[/C][C]102.9[/C][C]98.6029[/C][C]99.425[/C][C]-0.822141[/C][C]4.29714[/C][/ROW]
[ROW][C]101[/C][C]99.2[/C][C]99.1195[/C][C]99.45[/C][C]-0.330474[/C][C]0.0804739[/C][/ROW]
[ROW][C]102[/C][C]98[/C][C]102.046[/C][C]99.65[/C][C]2.39583[/C][C]-4.04583[/C][/ROW]
[ROW][C]103[/C][C]102.1[/C][C]97.7931[/C][C]99.6417[/C][C]-1.84852[/C][C]4.30685[/C][/ROW]
[ROW][C]104[/C][C]95.6[/C][C]98.4137[/C][C]99.15[/C][C]-0.736264[/C][C]-2.81374[/C][/ROW]
[ROW][C]105[/C][C]104.9[/C][C]101.688[/C][C]99.1917[/C][C]2.49633[/C][C]3.212[/C][/ROW]
[ROW][C]106[/C][C]108.8[/C][C]105.393[/C][C]99.2333[/C][C]6.15957[/C][C]3.4071[/C][/ROW]
[ROW][C]107[/C][C]97.3[/C][C]100.451[/C][C]98.8833[/C][C]1.56815[/C][C]-3.15148[/C][/ROW]
[ROW][C]108[/C][C]102.5[/C][C]100.17[/C][C]98.8833[/C][C]1.28653[/C][C]2.33014[/C][/ROW]
[ROW][C]109[/C][C]91[/C][C]94.2071[/C][C]99[/C][C]-4.79288[/C][C]-3.20712[/C][/ROW]
[ROW][C]110[/C][C]90[/C][C]91.164[/C][C]98.9[/C][C]-7.73602[/C][C]-1.16398[/C][/ROW]
[ROW][C]111[/C][C]100.2[/C][C]101.122[/C][C]98.7625[/C][C]2.35989[/C][C]-0.922391[/C][/ROW]
[ROW][C]112[/C][C]99.5[/C][C]97.5862[/C][C]98.4083[/C][C]-0.822141[/C][C]1.91381[/C][/ROW]
[ROW][C]113[/C][C]94.2[/C][C]97.882[/C][C]98.2125[/C][C]-0.330474[/C][C]-3.68203[/C][/ROW]
[ROW][C]114[/C][C]103[/C][C]100.596[/C][C]98.2[/C][C]2.39583[/C][C]2.40417[/C][/ROW]
[ROW][C]115[/C][C]99.9[/C][C]96.189[/C][C]98.0375[/C][C]-1.84852[/C][C]3.71102[/C][/ROW]
[ROW][C]116[/C][C]95.4[/C][C]97.2054[/C][C]97.9417[/C][C]-0.736264[/C][C]-1.8054[/C][/ROW]
[ROW][C]117[/C][C]101.8[/C][C]100.692[/C][C]98.1958[/C][C]2.49633[/C][C]1.10783[/C][/ROW]
[ROW][C]118[/C][C]103.4[/C][C]104.585[/C][C]98.425[/C][C]6.15957[/C][C]-1.18457[/C][/ROW]
[ROW][C]119[/C][C]98[/C][C]100.006[/C][C]98.4375[/C][C]1.56815[/C][C]-2.00565[/C][/ROW]
[ROW][C]120[/C][C]101.5[/C][C]99.8407[/C][C]98.5542[/C][C]1.28653[/C][C]1.6593[/C][/ROW]
[ROW][C]121[/C][C]88.1[/C][C]93.778[/C][C]98.5708[/C][C]-4.79288[/C][C]-5.67795[/C][/ROW]
[ROW][C]122[/C][C]90.6[/C][C]90.9098[/C][C]98.6458[/C][C]-7.73602[/C][C]-0.309814[/C][/ROW]
[ROW][C]123[/C][C]105.7[/C][C]101.239[/C][C]98.8792[/C][C]2.35989[/C][C]4.46094[/C][/ROW]
[ROW][C]124[/C][C]99.5[/C][C]98.157[/C][C]98.9792[/C][C]-0.822141[/C][C]1.34297[/C][/ROW]
[ROW][C]125[/C][C]94.5[/C][C]98.9904[/C][C]99.3208[/C][C]-0.330474[/C][C]-4.49036[/C][/ROW]
[ROW][C]126[/C][C]105.5[/C][C]102.204[/C][C]99.8083[/C][C]2.39583[/C][C]3.29584[/C][/ROW]
[ROW][C]127[/C][C]97.8[/C][C]98.5056[/C][C]100.354[/C][C]-1.84852[/C][C]-0.705647[/C][/ROW]
[ROW][C]128[/C][C]99.3[/C][C]100.185[/C][C]100.921[/C][C]-0.736264[/C][C]-0.884569[/C][/ROW]
[ROW][C]129[/C][C]103.5[/C][C]103.805[/C][C]101.308[/C][C]2.49633[/C][C]-0.304667[/C][/ROW]
[ROW][C]130[/C][C]104.1[/C][C]107.776[/C][C]101.617[/C][C]6.15957[/C][C]-3.67624[/C][/ROW]
[ROW][C]131[/C][C]105.5[/C][C]103.939[/C][C]102.371[/C][C]1.56815[/C][C]1.56102[/C][/ROW]
[ROW][C]132[/C][C]105.7[/C][C]104.228[/C][C]102.942[/C][C]1.28653[/C][C]1.4718[/C][/ROW]
[ROW][C]133[/C][C]97[/C][C]98.0155[/C][C]102.808[/C][C]-4.79288[/C][C]-1.01545[/C][/ROW]
[ROW][C]134[/C][C]95.3[/C][C]95.2723[/C][C]103.008[/C][C]-7.73602[/C][C]0.0276859[/C][/ROW]
[ROW][C]135[/C][C]110.3[/C][C]105.947[/C][C]103.587[/C][C]2.35989[/C][C]4.35261[/C][/ROW]
[ROW][C]136[/C][C]102.3[/C][C]103.265[/C][C]104.088[/C][C]-0.822141[/C][C]-0.965359[/C][/ROW]
[ROW][C]137[/C][C]109.8[/C][C]104.09[/C][C]104.421[/C][C]-0.330474[/C][C]5.70964[/C][/ROW]
[ROW][C]138[/C][C]103.9[/C][C]107.042[/C][C]104.646[/C][C]2.39583[/C][C]-3.14166[/C][/ROW]
[ROW][C]139[/C][C]96.2[/C][C]103.097[/C][C]104.946[/C][C]-1.84852[/C][C]-6.89731[/C][/ROW]
[ROW][C]140[/C][C]105.7[/C][C]104.714[/C][C]105.45[/C][C]-0.736264[/C][C]0.986264[/C][/ROW]
[ROW][C]141[/C][C]111[/C][C]108.246[/C][C]105.75[/C][C]2.49633[/C][C]2.75367[/C][/ROW]
[ROW][C]142[/C][C]108.6[/C][C]111.893[/C][C]105.733[/C][C]6.15957[/C][C]-3.2929[/C][/ROW]
[ROW][C]143[/C][C]109[/C][C]107.231[/C][C]105.662[/C][C]1.56815[/C][C]1.76935[/C][/ROW]
[ROW][C]144[/C][C]107.6[/C][C]107.203[/C][C]105.917[/C][C]1.28653[/C][C]0.396804[/C][/ROW]
[ROW][C]145[/C][C]102.3[/C][C]101.736[/C][C]106.529[/C][C]-4.79288[/C][C]0.563715[/C][/ROW]
[ROW][C]146[/C][C]102.1[/C][C]99.3015[/C][C]107.038[/C][C]-7.73602[/C][C]2.79852[/C][/ROW]
[ROW][C]147[/C][C]110.7[/C][C]109.406[/C][C]107.046[/C][C]2.35989[/C][C]1.29428[/C][/ROW]
[ROW][C]148[/C][C]101.5[/C][C]106.445[/C][C]107.267[/C][C]-0.822141[/C][C]-4.94453[/C][/ROW]
[ROW][C]149[/C][C]108.9[/C][C]107.436[/C][C]107.767[/C][C]-0.330474[/C][C]1.46381[/C][/ROW]
[ROW][C]150[/C][C]110.9[/C][C]110.15[/C][C]107.754[/C][C]2.39583[/C][C]0.750005[/C][/ROW]
[ROW][C]151[/C][C]103.9[/C][C]105.918[/C][C]107.767[/C][C]-1.84852[/C][C]-2.01815[/C][/ROW]
[ROW][C]152[/C][C]110.2[/C][C]106.93[/C][C]107.667[/C][C]-0.736264[/C][C]3.2696[/C][/ROW]
[ROW][C]153[/C][C]106.7[/C][C]109.767[/C][C]107.271[/C][C]2.49633[/C][C]-3.06717[/C][/ROW]
[ROW][C]154[/C][C]118.2[/C][C]113.435[/C][C]107.275[/C][C]6.15957[/C][C]4.76543[/C][/ROW]
[ROW][C]155[/C][C]111.4[/C][C]109.039[/C][C]107.471[/C][C]1.56815[/C][C]2.36102[/C][/ROW]
[ROW][C]156[/C][C]104.9[/C][C]108.537[/C][C]107.25[/C][C]1.28653[/C][C]-3.63653[/C][/ROW]
[ROW][C]157[/C][C]105.3[/C][C]102.536[/C][C]107.329[/C][C]-4.79288[/C][C]2.76372[/C][/ROW]
[ROW][C]158[/C][C]96.7[/C][C]99.639[/C][C]107.375[/C][C]-7.73602[/C][C]-2.93898[/C][/ROW]
[ROW][C]159[/C][C]106.6[/C][C]109.452[/C][C]107.092[/C][C]2.35989[/C][C]-2.85156[/C][/ROW]
[ROW][C]160[/C][C]105.7[/C][C]106.103[/C][C]106.925[/C][C]-0.822141[/C][C]-0.402859[/C][/ROW]
[ROW][C]161[/C][C]109.4[/C][C]106.174[/C][C]106.504[/C][C]-0.330474[/C][C]3.22631[/C][/ROW]
[ROW][C]162[/C][C]105.1[/C][C]108.658[/C][C]106.263[/C][C]2.39583[/C][C]-3.55833[/C][/ROW]
[ROW][C]163[/C][C]111.6[/C][C]104.247[/C][C]106.096[/C][C]-1.84852[/C][C]7.35269[/C][/ROW]
[ROW][C]164[/C][C]103.6[/C][C]105.143[/C][C]105.879[/C][C]-0.736264[/C][C]-1.5429[/C][/ROW]
[ROW][C]165[/C][C]106.5[/C][C]108.28[/C][C]105.783[/C][C]2.49633[/C][C]-1.77967[/C][/ROW]
[ROW][C]166[/C][C]114.4[/C][C]111.98[/C][C]105.821[/C][C]6.15957[/C][C]2.4196[/C][/ROW]
[ROW][C]167[/C][C]105.1[/C][C]107.343[/C][C]105.775[/C][C]1.56815[/C][C]-2.24315[/C][/ROW]
[ROW][C]168[/C][C]105.4[/C][C]107.07[/C][C]105.783[/C][C]1.28653[/C][C]-1.66986[/C][/ROW]
[ROW][C]169[/C][C]100.8[/C][C]100.957[/C][C]105.75[/C][C]-4.79288[/C][C]-0.157118[/C][/ROW]
[ROW][C]170[/C][C]96[/C][C]97.7515[/C][C]105.487[/C][C]-7.73602[/C][C]-1.75148[/C][/ROW]
[ROW][C]171[/C][C]105[/C][C]108.031[/C][C]105.671[/C][C]2.35989[/C][C]-3.03072[/C][/ROW]
[ROW][C]172[/C][C]108.2[/C][C]105.153[/C][C]105.975[/C][C]-0.822141[/C][C]3.04714[/C][/ROW]
[ROW][C]173[/C][C]105.8[/C][C]105.69[/C][C]106.021[/C][C]-0.330474[/C][C]0.109641[/C][/ROW]
[ROW][C]174[/C][C]108.9[/C][C]108.629[/C][C]106.233[/C][C]2.39583[/C][C]0.270838[/C][/ROW]
[ROW][C]175[/C][C]107[/C][C]104.601[/C][C]106.45[/C][C]-1.84852[/C][C]2.39852[/C][/ROW]
[ROW][C]176[/C][C]101.9[/C][C]105.805[/C][C]106.542[/C][C]-0.736264[/C][C]-3.9054[/C][/ROW]
[ROW][C]177[/C][C]112.6[/C][C]109.388[/C][C]106.892[/C][C]2.49633[/C][C]3.212[/C][/ROW]
[ROW][C]178[/C][C]115.6[/C][C]113.38[/C][C]107.221[/C][C]6.15957[/C][C]2.2196[/C][/ROW]
[ROW][C]179[/C][C]105[/C][C]108.768[/C][C]107.2[/C][C]1.56815[/C][C]-3.76815[/C][/ROW]
[ROW][C]180[/C][C]110.6[/C][C]108.678[/C][C]107.392[/C][C]1.28653[/C][C]1.9218[/C][/ROW]
[ROW][C]181[/C][C]100.8[/C][C]103.032[/C][C]107.825[/C][C]-4.79288[/C][C]-2.23212[/C][/ROW]
[ROW][C]182[/C][C]98.2[/C][C]100.393[/C][C]108.129[/C][C]-7.73602[/C][C]-2.19315[/C][/ROW]
[ROW][C]183[/C][C]111.2[/C][C]110.664[/C][C]108.304[/C][C]2.35989[/C][C]0.535943[/C][/ROW]
[ROW][C]184[/C][C]109.9[/C][C]107.582[/C][C]108.404[/C][C]-0.822141[/C][C]2.31797[/C][/ROW]
[ROW][C]185[/C][C]103.6[/C][C]108.461[/C][C]108.792[/C][C]-0.330474[/C][C]-4.86119[/C][/ROW]
[ROW][C]186[/C][C]115.7[/C][C]111.642[/C][C]109.246[/C][C]2.39583[/C][C]4.05834[/C][/ROW]
[ROW][C]187[/C][C]110.6[/C][C]107.589[/C][C]109.438[/C][C]-1.84852[/C][C]3.01102[/C][/ROW]
[ROW][C]188[/C][C]105.6[/C][C]109.085[/C][C]109.821[/C][C]-0.736264[/C][C]-3.48457[/C][/ROW]
[ROW][C]189[/C][C]113.1[/C][C]112.942[/C][C]110.446[/C][C]2.49633[/C][C]0.157833[/C][/ROW]
[ROW][C]190[/C][C]117.5[/C][C]117.051[/C][C]110.892[/C][C]6.15957[/C][C]0.448764[/C][/ROW]
[ROW][C]191[/C][C]112.4[/C][C]113.093[/C][C]111.525[/C][C]1.56815[/C][C]-0.693147[/C][/ROW]
[ROW][C]192[/C][C]114.1[/C][C]113.441[/C][C]112.154[/C][C]1.28653[/C][C]0.659304[/C][/ROW]
[ROW][C]193[/C][C]101.9[/C][C]107.37[/C][C]112.162[/C][C]-4.79288[/C][C]-5.46962[/C][/ROW]
[ROW][C]194[/C][C]106.3[/C][C]104.676[/C][C]112.412[/C][C]-7.73602[/C][C]1.62352[/C][/ROW]
[ROW][C]195[/C][C]118.1[/C][C]115.356[/C][C]112.996[/C][C]2.35989[/C][C]2.74428[/C][/ROW]
[ROW][C]196[/C][C]113.7[/C][C]112.265[/C][C]113.087[/C][C]-0.822141[/C][C]1.43464[/C][/ROW]
[ROW][C]197[/C][C]115[/C][C]112.87[/C][C]113.2[/C][C]-0.330474[/C][C]2.13047[/C][/ROW]
[ROW][C]198[/C][C]119.4[/C][C]115.937[/C][C]113.542[/C][C]2.39583[/C][C]3.46251[/C][/ROW]
[ROW][C]199[/C][C]107.1[/C][C]112.022[/C][C]113.871[/C][C]-1.84852[/C][C]-4.92231[/C][/ROW]
[ROW][C]200[/C][C]115.1[/C][C]113.285[/C][C]114.021[/C][C]-0.736264[/C][C]1.81543[/C][/ROW]
[ROW][C]201[/C][C]117.6[/C][C]116.605[/C][C]114.108[/C][C]2.49633[/C][C]0.995333[/C][/ROW]
[ROW][C]202[/C][C]115.2[/C][C]120.168[/C][C]114.008[/C][C]6.15957[/C][C]-4.9679[/C][/ROW]
[ROW][C]203[/C][C]117.4[/C][C]115.543[/C][C]113.975[/C][C]1.56815[/C][C]1.85685[/C][/ROW]
[ROW][C]204[/C][C]117.3[/C][C]115.537[/C][C]114.25[/C][C]1.28653[/C][C]1.76347[/C][/ROW]
[ROW][C]205[/C][C]106.6[/C][C]109.611[/C][C]114.404[/C][C]-4.79288[/C][C]-3.01128[/C][/ROW]
[ROW][C]206[/C][C]105.2[/C][C]106.781[/C][C]114.517[/C][C]-7.73602[/C][C]-1.58065[/C][/ROW]
[ROW][C]207[/C][C]121.3[/C][C]NA[/C][C]NA[/C][C]2.35989[/C][C]NA[/C][/ROW]
[ROW][C]208[/C][C]108.1[/C][C]NA[/C][C]NA[/C][C]-0.822141[/C][C]NA[/C][/ROW]
[ROW][C]209[/C][C]119.8[/C][C]NA[/C][C]NA[/C][C]-0.330474[/C][C]NA[/C][/ROW]
[ROW][C]210[/C][C]121.2[/C][C]NA[/C][C]NA[/C][C]2.39583[/C][C]NA[/C][/ROW]
[ROW][C]211[/C][C]109[/C][C]NA[/C][C]NA[/C][C]-1.84852[/C][C]NA[/C][/ROW]
[ROW][C]212[/C][C]115.9[/C][C]NA[/C][C]NA[/C][C]-0.736264[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=309070&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309070&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
158.1NANA-4.79288NA
260.3NANA-7.73602NA
366.7NANA2.35989NA
463.7NANA-0.822141NA
571.7NANA-0.330474NA
668.8NANA2.39583NA
761.866.047367.8958-1.84852-4.24731
868.767.717968.4542-0.7362640.982098
969.771.383868.88752.49633-1.68383
1076.475.497169.33756.159570.902931
1173.871.205669.63751.568152.59435
1270.271.240769.95421.28653-1.0407
1367.865.773870.5667-4.792882.02622
146463.56471.3-7.736020.436019
1573.474.105771.74582.35989-0.705724
1667.871.23272.0542-0.822141-3.43203
1774.871.990472.3208-0.3304742.80964
1873.374.858372.46252.39583-1.55833
197270.793172.6417-1.848521.20685
2076.172.201272.9375-0.7362643.89876
217375.63873.14172.49633-2.638
2280.579.584673.4256.159570.915431
2376.175.21473.64581.568150.886019
2471.374.903273.61671.28653-3.6032
257168.919673.7125-4.792882.08038
2667.965.980673.7167-7.736021.91935
2774.476.114173.75422.35989-1.71406
2873.673.13273.9542-0.8221410.467974
2974.373.586273.9167-0.3304740.713807
3073.176.458374.06252.39583-3.35833
3174.572.58974.4375-1.848521.91102
3273.773.947174.6833-0.736264-0.247069
3376.377.317274.82082.49633-1.01717
348281.142974.98336.159570.857098
3573.776.63975.07081.56815-2.93898
3677.276.428275.14171.286530.771804
3774.170.615575.4083-4.792883.48455
3870.767.834875.5708-7.736022.86519
3974.978.051675.69172.35989-3.15156
407775.069575.8917-0.8221411.93047
417375.694576.025-0.330474-2.69453
4276.178.516776.12082.39583-2.41666
4377.974.284876.1333-1.848523.61519
4474.275.372176.1083-0.736264-1.17207
4578.779.021376.5252.49633-0.321334
4684.483.151276.99176.159571.24876
4774.578.772377.20421.56815-4.27231
4878.778.994977.70831.28653-0.294863
4972.973.257178.05-4.79288-0.357118
5071.370.484878.2208-7.736020.815186
5184.381.022478.66252.359893.27761
5278.878.052978.875-0.8221410.747141
5376.378.844579.175-0.330474-2.54453
5484.982.183379.78752.395832.71667
5577.378.355680.2042-1.84852-1.05565
5678.979.651280.3875-0.736264-0.751236
5784.682.883880.38752.496331.71617
5883.686.563780.40426.15957-2.96374
5982.582.234880.66671.568150.265186
6085.482.203280.91671.286533.1968
6176.276.123880.9167-4.792880.0762153
6272.473.355681.0917-7.73602-0.955647
6383.283.818281.45832.35989-0.618224
6480.380.848781.6708-0.822141-0.548693
6581.181.65781.9875-0.330474-0.557026
6686.184.733382.33752.395831.36667
6776.180.743182.5917-1.84852-4.64315
6884.382.134682.8708-0.7362642.16543
698885.683883.18752.496332.31617
7085.389.513783.35426.15957-4.21374
7188.485.18983.62081.568153.21102
7287.985.32484.03751.286532.57597
7379.879.673884.4667-4.792880.126215
7475.577.230684.9667-7.73602-1.73065
7587.787.580785.22082.359890.119276
7679.884.83285.6542-0.822141-5.03203
778885.861286.1917-0.3304742.13881
7889.288.741786.34582.395830.458338
7983.384.843186.6917-1.84852-1.54315
8089.186.555487.2917-0.7362642.5446
8189.390.31387.81672.49633-1.013
8294.494.592988.43336.15957-0.192902
8392.290.505688.93751.568151.69435
8487.890.590789.30421.28653-2.7907
8588.284.986389.7792-4.792883.21372
8681.582.530690.2667-7.73602-1.03065
8794.393.018290.65832.359891.28178
888890.444591.2667-0.822141-2.44453
8991.991.723792.0542-0.3304740.176307
9094.195.07592.67922.39583-0.974995
9189.891.568193.4167-1.84852-1.76815
9294.393.642994.3792-0.7362640.657098
9393.597.433894.93752.49633-3.93383
94104.8101.7895.62086.159573.0196
95100.798.11496.54581.568152.58602
9694.398.29997.01251.28653-3.99903
9799.492.894697.6875-4.792886.50538
9893.490.518198.2542-7.736022.88185
9995.8101.14398.78332.35989-5.34322
100102.998.602999.425-0.8221414.29714
10199.299.119599.45-0.3304740.0804739
10298102.04699.652.39583-4.04583
103102.197.793199.6417-1.848524.30685
10495.698.413799.15-0.736264-2.81374
105104.9101.68899.19172.496333.212
106108.8105.39399.23336.159573.4071
10797.3100.45198.88331.56815-3.15148
108102.5100.1798.88331.286532.33014
1099194.207199-4.79288-3.20712
1109091.16498.9-7.73602-1.16398
111100.2101.12298.76252.35989-0.922391
11299.597.586298.4083-0.8221411.91381
11394.297.88298.2125-0.330474-3.68203
114103100.59698.22.395832.40417
11599.996.18998.0375-1.848523.71102
11695.497.205497.9417-0.736264-1.8054
117101.8100.69298.19582.496331.10783
118103.4104.58598.4256.15957-1.18457
11998100.00698.43751.56815-2.00565
120101.599.840798.55421.286531.6593
12188.193.77898.5708-4.79288-5.67795
12290.690.909898.6458-7.73602-0.309814
123105.7101.23998.87922.359894.46094
12499.598.15798.9792-0.8221411.34297
12594.598.990499.3208-0.330474-4.49036
126105.5102.20499.80832.395833.29584
12797.898.5056100.354-1.84852-0.705647
12899.3100.185100.921-0.736264-0.884569
129103.5103.805101.3082.49633-0.304667
130104.1107.776101.6176.15957-3.67624
131105.5103.939102.3711.568151.56102
132105.7104.228102.9421.286531.4718
1339798.0155102.808-4.79288-1.01545
13495.395.2723103.008-7.736020.0276859
135110.3105.947103.5872.359894.35261
136102.3103.265104.088-0.822141-0.965359
137109.8104.09104.421-0.3304745.70964
138103.9107.042104.6462.39583-3.14166
13996.2103.097104.946-1.84852-6.89731
140105.7104.714105.45-0.7362640.986264
141111108.246105.752.496332.75367
142108.6111.893105.7336.15957-3.2929
143109107.231105.6621.568151.76935
144107.6107.203105.9171.286530.396804
145102.3101.736106.529-4.792880.563715
146102.199.3015107.038-7.736022.79852
147110.7109.406107.0462.359891.29428
148101.5106.445107.267-0.822141-4.94453
149108.9107.436107.767-0.3304741.46381
150110.9110.15107.7542.395830.750005
151103.9105.918107.767-1.84852-2.01815
152110.2106.93107.667-0.7362643.2696
153106.7109.767107.2712.49633-3.06717
154118.2113.435107.2756.159574.76543
155111.4109.039107.4711.568152.36102
156104.9108.537107.251.28653-3.63653
157105.3102.536107.329-4.792882.76372
15896.799.639107.375-7.73602-2.93898
159106.6109.452107.0922.35989-2.85156
160105.7106.103106.925-0.822141-0.402859
161109.4106.174106.504-0.3304743.22631
162105.1108.658106.2632.39583-3.55833
163111.6104.247106.096-1.848527.35269
164103.6105.143105.879-0.736264-1.5429
165106.5108.28105.7832.49633-1.77967
166114.4111.98105.8216.159572.4196
167105.1107.343105.7751.56815-2.24315
168105.4107.07105.7831.28653-1.66986
169100.8100.957105.75-4.79288-0.157118
1709697.7515105.487-7.73602-1.75148
171105108.031105.6712.35989-3.03072
172108.2105.153105.975-0.8221413.04714
173105.8105.69106.021-0.3304740.109641
174108.9108.629106.2332.395830.270838
175107104.601106.45-1.848522.39852
176101.9105.805106.542-0.736264-3.9054
177112.6109.388106.8922.496333.212
178115.6113.38107.2216.159572.2196
179105108.768107.21.56815-3.76815
180110.6108.678107.3921.286531.9218
181100.8103.032107.825-4.79288-2.23212
18298.2100.393108.129-7.73602-2.19315
183111.2110.664108.3042.359890.535943
184109.9107.582108.404-0.8221412.31797
185103.6108.461108.792-0.330474-4.86119
186115.7111.642109.2462.395834.05834
187110.6107.589109.438-1.848523.01102
188105.6109.085109.821-0.736264-3.48457
189113.1112.942110.4462.496330.157833
190117.5117.051110.8926.159570.448764
191112.4113.093111.5251.56815-0.693147
192114.1113.441112.1541.286530.659304
193101.9107.37112.162-4.79288-5.46962
194106.3104.676112.412-7.736021.62352
195118.1115.356112.9962.359892.74428
196113.7112.265113.087-0.8221411.43464
197115112.87113.2-0.3304742.13047
198119.4115.937113.5422.395833.46251
199107.1112.022113.871-1.84852-4.92231
200115.1113.285114.021-0.7362641.81543
201117.6116.605114.1082.496330.995333
202115.2120.168114.0086.15957-4.9679
203117.4115.543113.9751.568151.85685
204117.3115.537114.251.286531.76347
205106.6109.611114.404-4.79288-3.01128
206105.2106.781114.517-7.73602-1.58065
207121.3NANA2.35989NA
208108.1NANA-0.822141NA
209119.8NANA-0.330474NA
210121.2NANA2.39583NA
211109NANA-1.84852NA
212115.9NANA-0.736264NA



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$trend)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
if (par1 == 'additive') a<-table.element(a,signif(m$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')