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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 computationWed, 06 Dec 2017 20:37:40 +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/06/t15125892423yhfvjou5u1zihj.htm/, Retrieved Tue, 14 May 2024 09:56:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=308637, Retrieved Tue, 14 May 2024 09:56:23 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact64
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Classical Decomposition] [classical decompo...] [2017-12-06 19:37:40] [469a2cadd589b423c2d787db5034925b] [Current]
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Dataseries X:
62,4
67,4
76,1
67,4
74,5
72,6
60,5
66,1
76,5
76,8
77
71
74,8
73,7
80,5
71,8
76,9
79,9
65,9
69,5
75,1
79,6
75,2
68
72,8
71,5
78,5
76,8
75,3
76,7
69,7
67,8
77,5
82,5
75,3
70,9
76
73,7
79,7
77,8
73,3
78,3
71,9
67
82
83,7
74,8
80
74,3
76,8
89
81,9
76,8
88,9
75,8
75,5
89,1
88
85,9
89,3
82,9
81,2
90,5
86,4
81,8
91,3
73,4
76,6
91
87
89,7
90,7
86,5
86,6
98,8
84,4
91,4
95,7
78,5
81,7
94,3
98,5
95,4
91,7
92,8
90,5
102,2
91,8
95
102
88,9
89,6
97,9
108,6
100,8
95,1
101
100,9
102,5
105,4
98,4
105,3
96,5
88,1
107,9
107
92,5
95,7
85,2
85,5
94,7
86,2
88,8
93,4
83,4
82,9
96,7
96,2
92,8
92,8
90
95,4
108,3
96,3
95
109
92
92,3
107
105,5
105,4
103,9
99,2
102,2
121,5
102,3
110
105,9
91,9
100
111,7
104,9
103,3
101,8
100,8
104,2
116,5
97,9
100,7
107
96,3
96
104,5
107,4
102,4
94,9
98,8
96,8
108,2
103,8
102,3
107,2
102
92,6
105,2
113
105,6
101,6
101,7
102,7
109
105,5
103,3
108,6
98,2
90
112,4
111,9
102,1
102,4
101,7
98,7
114
105,1
98,3
110
96,5
92,2
112
111,4
107,5
103,4
103,5
107,4
117,6
110,2
104,3
115,9
98,9
101,9
113,5
109,5
110
114,2




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 time3 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=308637&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]3 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=308637&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=308637&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 time3 seconds
R ServerBig Analytics Cloud Computing Center







Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
162.4NANA-2.40681NA
267.4NANA-2.23754NA
376.1NANA7.80412NA
467.4NANA-0.371137NA
574.5NANA-1.29223NA
672.6NANA4.97808NA
760.563.749271.2083-7.45916-3.24918
866.163.473471.9875-8.514112.62661
976.577.013272.43334.5799-0.513238
1076.878.485472.85.68537-1.68537
117773.810973.08330.7275613.18911
127171.993473.4875-1.49405-0.993446
1374.871.609974.0167-2.406813.19015
1473.772.145874.3833-2.237541.55421
1580.582.270874.46677.80412-1.77079
1671.874.153974.525-0.371137-2.35386
1776.973.274474.5667-1.292233.62556
1879.979.344774.36674.978080.555252
1965.966.699274.1583-7.45916-0.799175
2069.565.469273.9833-8.514114.03077
2175.178.388273.80834.5799-3.28824
2279.679.618773.93335.68537-0.0187066
2375.274.802674.0750.7275610.397439
246872.380973.875-1.49405-4.38095
2572.871.493273.9-2.406811.30681
2671.571.7573.9875-2.23754-0.249957
2778.581.820874.01677.80412-3.32079
2876.873.866474.2375-0.3711372.93364
2975.373.070374.3625-1.292232.22973
3076.779.465674.48754.97808-2.76558
3169.767.282574.7417-7.459162.41749
3267.866.452674.9667-8.514111.34744
3377.579.688275.10834.5799-2.18824
3482.580.885475.25.685371.61463
3575.375.885975.15830.727561-0.585894
3670.973.647675.1417-1.49405-2.74761
377672.893275.3-2.406813.10681
3873.773.120875.3583-2.237540.57921
3979.783.316675.51257.80412-3.61662
4077.875.378975.75-0.3711372.42114
4173.374.486975.7792-1.29223-1.18694
4278.381.115676.13754.97808-2.81558
4371.968.986776.4458-7.459162.91332
446767.990176.5042-8.51411-0.990061
458281.600777.02084.57990.399262
4683.783.264577.57925.685370.43546
4774.878.623477.89580.727561-3.82339
488076.989378.4833-1.494053.01072
4974.376.680779.0875-2.40681-2.38069
5076.877.366679.6042-2.23754-0.566623
518988.058380.25427.804120.94171
5281.980.35880.7292-0.3711371.54197
5376.880.078681.3708-1.29223-3.2786
5488.987.198982.22084.978081.70109
5575.875.507582.9667-7.459160.292491
5675.574.994283.5083-8.514110.505773
5789.188.334183.75424.57990.765929
588889.689584.00425.68537-1.68954
5985.985.127684.40.7275610.772439
6089.383.214384.7083-1.494056.08572
6182.982.301584.7083-2.406810.598481
6281.282.416684.6542-2.23754-1.21662
6390.592.583384.77927.80412-2.08329
6486.484.445584.8167-0.3711371.95447
6581.883.641184.9333-1.29223-1.8411
6691.390.128185.154.978081.17192
6773.477.899285.3583-7.45916-4.49918
6876.677.219285.7333-8.51411-0.619227
699190.884186.30424.57990.115929
708792.25286.56675.68537-5.25204
7189.787.610986.88330.7275612.08911
7290.785.972687.4667-1.494054.72739
7386.585.455787.8625-2.406811.04431
7486.686.0588.2875-2.237540.550043
7598.896.441688.63757.804122.35838
7684.488.88389.2542-0.371137-4.48303
7791.488.678689.9708-1.292232.7214
7895.795.228190.254.978080.471918
7978.583.09590.5542-7.45916-4.59501
8081.782.465190.9792-8.51411-0.765061
8194.395.863291.28334.5799-1.56324
8298.597.418791.73335.685371.08129
8395.492.919292.19170.7275612.48077
8491.791.110192.6042-1.494050.589887
8592.890.893293.3-2.406811.90681
8690.591.82594.0625-2.23754-1.32496
87102.2102.34694.54177.80412-0.14579
8891.894.741495.1125-0.371137-2.94136
899594.466195.7583-1.292230.533898
90102101.10396.1254.978080.896918
9188.989.149296.6083-7.45916-0.249175
9289.688.869297.3833-8.514110.730773
9397.9102.40997.82924.5799-4.50907
94108.6104.09498.40835.685374.50629
95100.899.844299.11670.7275610.955773
9695.197.901899.3958-1.49405-2.80178
9710197.443299.85-2.406813.55681
98100.997.8666100.104-2.237543.03338
99102.5108.262100.4587.80412-5.76246
100105.4100.437100.808-0.3711374.9628
10198.499.1036100.396-1.29223-0.703602
102105.3105.053100.0754.978080.246918
10396.591.982599.4417-7.459164.51749
10488.189.627698.1417-8.51411-1.52756
105107.9101.75597.1754.57996.1451
106107101.73596.055.685375.26463
10792.595.577694.850.727561-3.07756
10895.792.460193.9542-1.494053.23989
10985.290.505792.9125-2.40681-5.30569
11085.589.912592.15-2.23754-4.41246
11194.799.270891.46677.80412-4.57079
11286.290.178990.55-0.371137-3.97886
11388.888.820390.1125-1.29223-0.0202691
11493.494.982290.00424.97808-1.58225
11583.482.624290.0833-7.459160.775825
11682.982.181790.6958-8.514110.718273
11796.796.254991.6754.57990.445095
11896.298.347992.66255.68537-2.14787
11992.894.069293.34170.727561-1.26923
12092.892.755994.25-1.494050.0440538
1219092.851595.2583-2.40681-2.85152
12295.493.770896.0083-2.237541.62921
123108.3104.63396.82927.804123.66671
12496.397.274797.6458-0.371137-0.974696
1259597.266198.5583-1.29223-2.2661
126109104.52499.54584.978084.47609
1279292.9325100.392-7.45916-0.932509
12892.392.5442101.058-8.51411-0.244227
129107106.472101.8924.57990.528429
130105.5108.377102.6925.68537-2.87704
131105.4104.294103.5670.7275611.10577
132103.9102.568104.063-1.494051.33155
13399.2101.522103.929-2.40681-2.32235
134102.2102.008104.246-2.237540.19171
135121.5112.567104.7627.804128.93338
136102.3104.562104.933-0.371137-2.2622
137110103.529104.821-1.292236.4714
138105.9109.624104.6464.97808-3.72391
13991.997.1658104.625-7.45916-5.26584
14010096.2609104.775-8.514113.73911
141111.7109.23104.654.57992.4701
142104.9109.944104.2585.68537-5.04371
143103.3104.415103.6870.727561-1.11506
144101.8101.852103.346-1.49405-0.0517795
145100.8101.168103.575-2.40681-0.368186
146104.2101.354103.592-2.237542.84588
147116.5110.929103.1257.804125.57088
14897.9102.558102.929-0.371137-4.65803
149100.7101.704102.996-1.29223-1.0036
150107107.649102.6714.97808-0.648915
15196.394.8408102.3-7.459161.45916
1529693.3942101.908-8.514112.60577
153104.5105.834101.2544.5799-1.33407
154107.4106.84101.1545.685370.56046
155102.4102.194101.4670.7275610.205773
15694.9100.048101.542-1.49405-5.14761
15798.899.3807101.788-2.40681-0.580686
15896.899.6458101.883-2.23754-2.84579
159108.2109.575101.7717.80412-1.37496
160103.8101.662102.033-0.3711372.1378
161102.3101.108102.4-1.292231.19223
162107.2107.791102.8124.97808-0.590582
16310295.7533103.212-7.459166.24666
16492.695.0651103.579-8.51411-2.46506
165105.2108.438103.8584.5799-3.23824
166113109.648103.9625.685373.35213
167105.6104.803104.0750.7275610.797439
168101.6102.681104.175-1.49405-1.08095
169101.7101.668104.075-2.406810.0318142
170102.7101.571103.808-2.237541.12921
171109111.8041047.80412-2.80412
172105.5103.883104.254-0.3711371.61697
173103.3102.77104.062-1.292230.529731
174108.6108.928103.954.97808-0.328082
17598.296.5242103.983-7.459161.67582
1769095.3026103.817-8.51411-5.30256
177112.4108.438103.8584.57993.96176
178111.9109.735104.055.685372.16463
179102.1104.553103.8250.727561-2.45256
180102.4102.181103.675-1.494050.219054
181101.7101.256103.662-2.406810.444314
18298.7101.446103.683-2.23754-2.74579
183114111.562103.7587.804122.43754
184105.1103.35103.721-0.3711371.7503
18598.3102.633103.925-1.29223-4.33277
186110109.17104.1924.978080.830252
18796.596.8492104.308-7.45916-0.349175
18892.296.2317104.746-8.51411-4.03173
189112109.838105.2584.57992.16176
190111.4111.306105.6215.685370.0937934
191107.5106.811106.0830.7275610.689106
192103.4105.085106.579-1.49405-1.68511
193103.5104.518106.925-2.40681-1.01819
194107.4105.192107.429-2.237542.20838
195117.6115.7107.8967.804121.90004
196110.2107.508107.879-0.3711372.69197
197104.3106.612107.904-1.29223-2.31194
198115.9113.436108.4584.978082.46359
19998.9NANA-7.45916NA
200101.9NANA-8.51411NA
201113.5NANA4.5799NA
202109.5NANA5.68537NA
203110NANA0.727561NA
204114.2NANA-1.49405NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 62.4 & NA & NA & -2.40681 & NA \tabularnewline
2 & 67.4 & NA & NA & -2.23754 & NA \tabularnewline
3 & 76.1 & NA & NA & 7.80412 & NA \tabularnewline
4 & 67.4 & NA & NA & -0.371137 & NA \tabularnewline
5 & 74.5 & NA & NA & -1.29223 & NA \tabularnewline
6 & 72.6 & NA & NA & 4.97808 & NA \tabularnewline
7 & 60.5 & 63.7492 & 71.2083 & -7.45916 & -3.24918 \tabularnewline
8 & 66.1 & 63.4734 & 71.9875 & -8.51411 & 2.62661 \tabularnewline
9 & 76.5 & 77.0132 & 72.4333 & 4.5799 & -0.513238 \tabularnewline
10 & 76.8 & 78.4854 & 72.8 & 5.68537 & -1.68537 \tabularnewline
11 & 77 & 73.8109 & 73.0833 & 0.727561 & 3.18911 \tabularnewline
12 & 71 & 71.9934 & 73.4875 & -1.49405 & -0.993446 \tabularnewline
13 & 74.8 & 71.6099 & 74.0167 & -2.40681 & 3.19015 \tabularnewline
14 & 73.7 & 72.1458 & 74.3833 & -2.23754 & 1.55421 \tabularnewline
15 & 80.5 & 82.2708 & 74.4667 & 7.80412 & -1.77079 \tabularnewline
16 & 71.8 & 74.1539 & 74.525 & -0.371137 & -2.35386 \tabularnewline
17 & 76.9 & 73.2744 & 74.5667 & -1.29223 & 3.62556 \tabularnewline
18 & 79.9 & 79.3447 & 74.3667 & 4.97808 & 0.555252 \tabularnewline
19 & 65.9 & 66.6992 & 74.1583 & -7.45916 & -0.799175 \tabularnewline
20 & 69.5 & 65.4692 & 73.9833 & -8.51411 & 4.03077 \tabularnewline
21 & 75.1 & 78.3882 & 73.8083 & 4.5799 & -3.28824 \tabularnewline
22 & 79.6 & 79.6187 & 73.9333 & 5.68537 & -0.0187066 \tabularnewline
23 & 75.2 & 74.8026 & 74.075 & 0.727561 & 0.397439 \tabularnewline
24 & 68 & 72.3809 & 73.875 & -1.49405 & -4.38095 \tabularnewline
25 & 72.8 & 71.4932 & 73.9 & -2.40681 & 1.30681 \tabularnewline
26 & 71.5 & 71.75 & 73.9875 & -2.23754 & -0.249957 \tabularnewline
27 & 78.5 & 81.8208 & 74.0167 & 7.80412 & -3.32079 \tabularnewline
28 & 76.8 & 73.8664 & 74.2375 & -0.371137 & 2.93364 \tabularnewline
29 & 75.3 & 73.0703 & 74.3625 & -1.29223 & 2.22973 \tabularnewline
30 & 76.7 & 79.4656 & 74.4875 & 4.97808 & -2.76558 \tabularnewline
31 & 69.7 & 67.2825 & 74.7417 & -7.45916 & 2.41749 \tabularnewline
32 & 67.8 & 66.4526 & 74.9667 & -8.51411 & 1.34744 \tabularnewline
33 & 77.5 & 79.6882 & 75.1083 & 4.5799 & -2.18824 \tabularnewline
34 & 82.5 & 80.8854 & 75.2 & 5.68537 & 1.61463 \tabularnewline
35 & 75.3 & 75.8859 & 75.1583 & 0.727561 & -0.585894 \tabularnewline
36 & 70.9 & 73.6476 & 75.1417 & -1.49405 & -2.74761 \tabularnewline
37 & 76 & 72.8932 & 75.3 & -2.40681 & 3.10681 \tabularnewline
38 & 73.7 & 73.1208 & 75.3583 & -2.23754 & 0.57921 \tabularnewline
39 & 79.7 & 83.3166 & 75.5125 & 7.80412 & -3.61662 \tabularnewline
40 & 77.8 & 75.3789 & 75.75 & -0.371137 & 2.42114 \tabularnewline
41 & 73.3 & 74.4869 & 75.7792 & -1.29223 & -1.18694 \tabularnewline
42 & 78.3 & 81.1156 & 76.1375 & 4.97808 & -2.81558 \tabularnewline
43 & 71.9 & 68.9867 & 76.4458 & -7.45916 & 2.91332 \tabularnewline
44 & 67 & 67.9901 & 76.5042 & -8.51411 & -0.990061 \tabularnewline
45 & 82 & 81.6007 & 77.0208 & 4.5799 & 0.399262 \tabularnewline
46 & 83.7 & 83.2645 & 77.5792 & 5.68537 & 0.43546 \tabularnewline
47 & 74.8 & 78.6234 & 77.8958 & 0.727561 & -3.82339 \tabularnewline
48 & 80 & 76.9893 & 78.4833 & -1.49405 & 3.01072 \tabularnewline
49 & 74.3 & 76.6807 & 79.0875 & -2.40681 & -2.38069 \tabularnewline
50 & 76.8 & 77.3666 & 79.6042 & -2.23754 & -0.566623 \tabularnewline
51 & 89 & 88.0583 & 80.2542 & 7.80412 & 0.94171 \tabularnewline
52 & 81.9 & 80.358 & 80.7292 & -0.371137 & 1.54197 \tabularnewline
53 & 76.8 & 80.0786 & 81.3708 & -1.29223 & -3.2786 \tabularnewline
54 & 88.9 & 87.1989 & 82.2208 & 4.97808 & 1.70109 \tabularnewline
55 & 75.8 & 75.5075 & 82.9667 & -7.45916 & 0.292491 \tabularnewline
56 & 75.5 & 74.9942 & 83.5083 & -8.51411 & 0.505773 \tabularnewline
57 & 89.1 & 88.3341 & 83.7542 & 4.5799 & 0.765929 \tabularnewline
58 & 88 & 89.6895 & 84.0042 & 5.68537 & -1.68954 \tabularnewline
59 & 85.9 & 85.1276 & 84.4 & 0.727561 & 0.772439 \tabularnewline
60 & 89.3 & 83.2143 & 84.7083 & -1.49405 & 6.08572 \tabularnewline
61 & 82.9 & 82.3015 & 84.7083 & -2.40681 & 0.598481 \tabularnewline
62 & 81.2 & 82.4166 & 84.6542 & -2.23754 & -1.21662 \tabularnewline
63 & 90.5 & 92.5833 & 84.7792 & 7.80412 & -2.08329 \tabularnewline
64 & 86.4 & 84.4455 & 84.8167 & -0.371137 & 1.95447 \tabularnewline
65 & 81.8 & 83.6411 & 84.9333 & -1.29223 & -1.8411 \tabularnewline
66 & 91.3 & 90.1281 & 85.15 & 4.97808 & 1.17192 \tabularnewline
67 & 73.4 & 77.8992 & 85.3583 & -7.45916 & -4.49918 \tabularnewline
68 & 76.6 & 77.2192 & 85.7333 & -8.51411 & -0.619227 \tabularnewline
69 & 91 & 90.8841 & 86.3042 & 4.5799 & 0.115929 \tabularnewline
70 & 87 & 92.252 & 86.5667 & 5.68537 & -5.25204 \tabularnewline
71 & 89.7 & 87.6109 & 86.8833 & 0.727561 & 2.08911 \tabularnewline
72 & 90.7 & 85.9726 & 87.4667 & -1.49405 & 4.72739 \tabularnewline
73 & 86.5 & 85.4557 & 87.8625 & -2.40681 & 1.04431 \tabularnewline
74 & 86.6 & 86.05 & 88.2875 & -2.23754 & 0.550043 \tabularnewline
75 & 98.8 & 96.4416 & 88.6375 & 7.80412 & 2.35838 \tabularnewline
76 & 84.4 & 88.883 & 89.2542 & -0.371137 & -4.48303 \tabularnewline
77 & 91.4 & 88.6786 & 89.9708 & -1.29223 & 2.7214 \tabularnewline
78 & 95.7 & 95.2281 & 90.25 & 4.97808 & 0.471918 \tabularnewline
79 & 78.5 & 83.095 & 90.5542 & -7.45916 & -4.59501 \tabularnewline
80 & 81.7 & 82.4651 & 90.9792 & -8.51411 & -0.765061 \tabularnewline
81 & 94.3 & 95.8632 & 91.2833 & 4.5799 & -1.56324 \tabularnewline
82 & 98.5 & 97.4187 & 91.7333 & 5.68537 & 1.08129 \tabularnewline
83 & 95.4 & 92.9192 & 92.1917 & 0.727561 & 2.48077 \tabularnewline
84 & 91.7 & 91.1101 & 92.6042 & -1.49405 & 0.589887 \tabularnewline
85 & 92.8 & 90.8932 & 93.3 & -2.40681 & 1.90681 \tabularnewline
86 & 90.5 & 91.825 & 94.0625 & -2.23754 & -1.32496 \tabularnewline
87 & 102.2 & 102.346 & 94.5417 & 7.80412 & -0.14579 \tabularnewline
88 & 91.8 & 94.7414 & 95.1125 & -0.371137 & -2.94136 \tabularnewline
89 & 95 & 94.4661 & 95.7583 & -1.29223 & 0.533898 \tabularnewline
90 & 102 & 101.103 & 96.125 & 4.97808 & 0.896918 \tabularnewline
91 & 88.9 & 89.1492 & 96.6083 & -7.45916 & -0.249175 \tabularnewline
92 & 89.6 & 88.8692 & 97.3833 & -8.51411 & 0.730773 \tabularnewline
93 & 97.9 & 102.409 & 97.8292 & 4.5799 & -4.50907 \tabularnewline
94 & 108.6 & 104.094 & 98.4083 & 5.68537 & 4.50629 \tabularnewline
95 & 100.8 & 99.8442 & 99.1167 & 0.727561 & 0.955773 \tabularnewline
96 & 95.1 & 97.9018 & 99.3958 & -1.49405 & -2.80178 \tabularnewline
97 & 101 & 97.4432 & 99.85 & -2.40681 & 3.55681 \tabularnewline
98 & 100.9 & 97.8666 & 100.104 & -2.23754 & 3.03338 \tabularnewline
99 & 102.5 & 108.262 & 100.458 & 7.80412 & -5.76246 \tabularnewline
100 & 105.4 & 100.437 & 100.808 & -0.371137 & 4.9628 \tabularnewline
101 & 98.4 & 99.1036 & 100.396 & -1.29223 & -0.703602 \tabularnewline
102 & 105.3 & 105.053 & 100.075 & 4.97808 & 0.246918 \tabularnewline
103 & 96.5 & 91.9825 & 99.4417 & -7.45916 & 4.51749 \tabularnewline
104 & 88.1 & 89.6276 & 98.1417 & -8.51411 & -1.52756 \tabularnewline
105 & 107.9 & 101.755 & 97.175 & 4.5799 & 6.1451 \tabularnewline
106 & 107 & 101.735 & 96.05 & 5.68537 & 5.26463 \tabularnewline
107 & 92.5 & 95.5776 & 94.85 & 0.727561 & -3.07756 \tabularnewline
108 & 95.7 & 92.4601 & 93.9542 & -1.49405 & 3.23989 \tabularnewline
109 & 85.2 & 90.5057 & 92.9125 & -2.40681 & -5.30569 \tabularnewline
110 & 85.5 & 89.9125 & 92.15 & -2.23754 & -4.41246 \tabularnewline
111 & 94.7 & 99.2708 & 91.4667 & 7.80412 & -4.57079 \tabularnewline
112 & 86.2 & 90.1789 & 90.55 & -0.371137 & -3.97886 \tabularnewline
113 & 88.8 & 88.8203 & 90.1125 & -1.29223 & -0.0202691 \tabularnewline
114 & 93.4 & 94.9822 & 90.0042 & 4.97808 & -1.58225 \tabularnewline
115 & 83.4 & 82.6242 & 90.0833 & -7.45916 & 0.775825 \tabularnewline
116 & 82.9 & 82.1817 & 90.6958 & -8.51411 & 0.718273 \tabularnewline
117 & 96.7 & 96.2549 & 91.675 & 4.5799 & 0.445095 \tabularnewline
118 & 96.2 & 98.3479 & 92.6625 & 5.68537 & -2.14787 \tabularnewline
119 & 92.8 & 94.0692 & 93.3417 & 0.727561 & -1.26923 \tabularnewline
120 & 92.8 & 92.7559 & 94.25 & -1.49405 & 0.0440538 \tabularnewline
121 & 90 & 92.8515 & 95.2583 & -2.40681 & -2.85152 \tabularnewline
122 & 95.4 & 93.7708 & 96.0083 & -2.23754 & 1.62921 \tabularnewline
123 & 108.3 & 104.633 & 96.8292 & 7.80412 & 3.66671 \tabularnewline
124 & 96.3 & 97.2747 & 97.6458 & -0.371137 & -0.974696 \tabularnewline
125 & 95 & 97.2661 & 98.5583 & -1.29223 & -2.2661 \tabularnewline
126 & 109 & 104.524 & 99.5458 & 4.97808 & 4.47609 \tabularnewline
127 & 92 & 92.9325 & 100.392 & -7.45916 & -0.932509 \tabularnewline
128 & 92.3 & 92.5442 & 101.058 & -8.51411 & -0.244227 \tabularnewline
129 & 107 & 106.472 & 101.892 & 4.5799 & 0.528429 \tabularnewline
130 & 105.5 & 108.377 & 102.692 & 5.68537 & -2.87704 \tabularnewline
131 & 105.4 & 104.294 & 103.567 & 0.727561 & 1.10577 \tabularnewline
132 & 103.9 & 102.568 & 104.063 & -1.49405 & 1.33155 \tabularnewline
133 & 99.2 & 101.522 & 103.929 & -2.40681 & -2.32235 \tabularnewline
134 & 102.2 & 102.008 & 104.246 & -2.23754 & 0.19171 \tabularnewline
135 & 121.5 & 112.567 & 104.762 & 7.80412 & 8.93338 \tabularnewline
136 & 102.3 & 104.562 & 104.933 & -0.371137 & -2.2622 \tabularnewline
137 & 110 & 103.529 & 104.821 & -1.29223 & 6.4714 \tabularnewline
138 & 105.9 & 109.624 & 104.646 & 4.97808 & -3.72391 \tabularnewline
139 & 91.9 & 97.1658 & 104.625 & -7.45916 & -5.26584 \tabularnewline
140 & 100 & 96.2609 & 104.775 & -8.51411 & 3.73911 \tabularnewline
141 & 111.7 & 109.23 & 104.65 & 4.5799 & 2.4701 \tabularnewline
142 & 104.9 & 109.944 & 104.258 & 5.68537 & -5.04371 \tabularnewline
143 & 103.3 & 104.415 & 103.687 & 0.727561 & -1.11506 \tabularnewline
144 & 101.8 & 101.852 & 103.346 & -1.49405 & -0.0517795 \tabularnewline
145 & 100.8 & 101.168 & 103.575 & -2.40681 & -0.368186 \tabularnewline
146 & 104.2 & 101.354 & 103.592 & -2.23754 & 2.84588 \tabularnewline
147 & 116.5 & 110.929 & 103.125 & 7.80412 & 5.57088 \tabularnewline
148 & 97.9 & 102.558 & 102.929 & -0.371137 & -4.65803 \tabularnewline
149 & 100.7 & 101.704 & 102.996 & -1.29223 & -1.0036 \tabularnewline
150 & 107 & 107.649 & 102.671 & 4.97808 & -0.648915 \tabularnewline
151 & 96.3 & 94.8408 & 102.3 & -7.45916 & 1.45916 \tabularnewline
152 & 96 & 93.3942 & 101.908 & -8.51411 & 2.60577 \tabularnewline
153 & 104.5 & 105.834 & 101.254 & 4.5799 & -1.33407 \tabularnewline
154 & 107.4 & 106.84 & 101.154 & 5.68537 & 0.56046 \tabularnewline
155 & 102.4 & 102.194 & 101.467 & 0.727561 & 0.205773 \tabularnewline
156 & 94.9 & 100.048 & 101.542 & -1.49405 & -5.14761 \tabularnewline
157 & 98.8 & 99.3807 & 101.788 & -2.40681 & -0.580686 \tabularnewline
158 & 96.8 & 99.6458 & 101.883 & -2.23754 & -2.84579 \tabularnewline
159 & 108.2 & 109.575 & 101.771 & 7.80412 & -1.37496 \tabularnewline
160 & 103.8 & 101.662 & 102.033 & -0.371137 & 2.1378 \tabularnewline
161 & 102.3 & 101.108 & 102.4 & -1.29223 & 1.19223 \tabularnewline
162 & 107.2 & 107.791 & 102.812 & 4.97808 & -0.590582 \tabularnewline
163 & 102 & 95.7533 & 103.212 & -7.45916 & 6.24666 \tabularnewline
164 & 92.6 & 95.0651 & 103.579 & -8.51411 & -2.46506 \tabularnewline
165 & 105.2 & 108.438 & 103.858 & 4.5799 & -3.23824 \tabularnewline
166 & 113 & 109.648 & 103.962 & 5.68537 & 3.35213 \tabularnewline
167 & 105.6 & 104.803 & 104.075 & 0.727561 & 0.797439 \tabularnewline
168 & 101.6 & 102.681 & 104.175 & -1.49405 & -1.08095 \tabularnewline
169 & 101.7 & 101.668 & 104.075 & -2.40681 & 0.0318142 \tabularnewline
170 & 102.7 & 101.571 & 103.808 & -2.23754 & 1.12921 \tabularnewline
171 & 109 & 111.804 & 104 & 7.80412 & -2.80412 \tabularnewline
172 & 105.5 & 103.883 & 104.254 & -0.371137 & 1.61697 \tabularnewline
173 & 103.3 & 102.77 & 104.062 & -1.29223 & 0.529731 \tabularnewline
174 & 108.6 & 108.928 & 103.95 & 4.97808 & -0.328082 \tabularnewline
175 & 98.2 & 96.5242 & 103.983 & -7.45916 & 1.67582 \tabularnewline
176 & 90 & 95.3026 & 103.817 & -8.51411 & -5.30256 \tabularnewline
177 & 112.4 & 108.438 & 103.858 & 4.5799 & 3.96176 \tabularnewline
178 & 111.9 & 109.735 & 104.05 & 5.68537 & 2.16463 \tabularnewline
179 & 102.1 & 104.553 & 103.825 & 0.727561 & -2.45256 \tabularnewline
180 & 102.4 & 102.181 & 103.675 & -1.49405 & 0.219054 \tabularnewline
181 & 101.7 & 101.256 & 103.662 & -2.40681 & 0.444314 \tabularnewline
182 & 98.7 & 101.446 & 103.683 & -2.23754 & -2.74579 \tabularnewline
183 & 114 & 111.562 & 103.758 & 7.80412 & 2.43754 \tabularnewline
184 & 105.1 & 103.35 & 103.721 & -0.371137 & 1.7503 \tabularnewline
185 & 98.3 & 102.633 & 103.925 & -1.29223 & -4.33277 \tabularnewline
186 & 110 & 109.17 & 104.192 & 4.97808 & 0.830252 \tabularnewline
187 & 96.5 & 96.8492 & 104.308 & -7.45916 & -0.349175 \tabularnewline
188 & 92.2 & 96.2317 & 104.746 & -8.51411 & -4.03173 \tabularnewline
189 & 112 & 109.838 & 105.258 & 4.5799 & 2.16176 \tabularnewline
190 & 111.4 & 111.306 & 105.621 & 5.68537 & 0.0937934 \tabularnewline
191 & 107.5 & 106.811 & 106.083 & 0.727561 & 0.689106 \tabularnewline
192 & 103.4 & 105.085 & 106.579 & -1.49405 & -1.68511 \tabularnewline
193 & 103.5 & 104.518 & 106.925 & -2.40681 & -1.01819 \tabularnewline
194 & 107.4 & 105.192 & 107.429 & -2.23754 & 2.20838 \tabularnewline
195 & 117.6 & 115.7 & 107.896 & 7.80412 & 1.90004 \tabularnewline
196 & 110.2 & 107.508 & 107.879 & -0.371137 & 2.69197 \tabularnewline
197 & 104.3 & 106.612 & 107.904 & -1.29223 & -2.31194 \tabularnewline
198 & 115.9 & 113.436 & 108.458 & 4.97808 & 2.46359 \tabularnewline
199 & 98.9 & NA & NA & -7.45916 & NA \tabularnewline
200 & 101.9 & NA & NA & -8.51411 & NA \tabularnewline
201 & 113.5 & NA & NA & 4.5799 & NA \tabularnewline
202 & 109.5 & NA & NA & 5.68537 & NA \tabularnewline
203 & 110 & NA & NA & 0.727561 & NA \tabularnewline
204 & 114.2 & NA & NA & -1.49405 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=308637&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]62.4[/C][C]NA[/C][C]NA[/C][C]-2.40681[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]67.4[/C][C]NA[/C][C]NA[/C][C]-2.23754[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]76.1[/C][C]NA[/C][C]NA[/C][C]7.80412[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]67.4[/C][C]NA[/C][C]NA[/C][C]-0.371137[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]74.5[/C][C]NA[/C][C]NA[/C][C]-1.29223[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]72.6[/C][C]NA[/C][C]NA[/C][C]4.97808[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]60.5[/C][C]63.7492[/C][C]71.2083[/C][C]-7.45916[/C][C]-3.24918[/C][/ROW]
[ROW][C]8[/C][C]66.1[/C][C]63.4734[/C][C]71.9875[/C][C]-8.51411[/C][C]2.62661[/C][/ROW]
[ROW][C]9[/C][C]76.5[/C][C]77.0132[/C][C]72.4333[/C][C]4.5799[/C][C]-0.513238[/C][/ROW]
[ROW][C]10[/C][C]76.8[/C][C]78.4854[/C][C]72.8[/C][C]5.68537[/C][C]-1.68537[/C][/ROW]
[ROW][C]11[/C][C]77[/C][C]73.8109[/C][C]73.0833[/C][C]0.727561[/C][C]3.18911[/C][/ROW]
[ROW][C]12[/C][C]71[/C][C]71.9934[/C][C]73.4875[/C][C]-1.49405[/C][C]-0.993446[/C][/ROW]
[ROW][C]13[/C][C]74.8[/C][C]71.6099[/C][C]74.0167[/C][C]-2.40681[/C][C]3.19015[/C][/ROW]
[ROW][C]14[/C][C]73.7[/C][C]72.1458[/C][C]74.3833[/C][C]-2.23754[/C][C]1.55421[/C][/ROW]
[ROW][C]15[/C][C]80.5[/C][C]82.2708[/C][C]74.4667[/C][C]7.80412[/C][C]-1.77079[/C][/ROW]
[ROW][C]16[/C][C]71.8[/C][C]74.1539[/C][C]74.525[/C][C]-0.371137[/C][C]-2.35386[/C][/ROW]
[ROW][C]17[/C][C]76.9[/C][C]73.2744[/C][C]74.5667[/C][C]-1.29223[/C][C]3.62556[/C][/ROW]
[ROW][C]18[/C][C]79.9[/C][C]79.3447[/C][C]74.3667[/C][C]4.97808[/C][C]0.555252[/C][/ROW]
[ROW][C]19[/C][C]65.9[/C][C]66.6992[/C][C]74.1583[/C][C]-7.45916[/C][C]-0.799175[/C][/ROW]
[ROW][C]20[/C][C]69.5[/C][C]65.4692[/C][C]73.9833[/C][C]-8.51411[/C][C]4.03077[/C][/ROW]
[ROW][C]21[/C][C]75.1[/C][C]78.3882[/C][C]73.8083[/C][C]4.5799[/C][C]-3.28824[/C][/ROW]
[ROW][C]22[/C][C]79.6[/C][C]79.6187[/C][C]73.9333[/C][C]5.68537[/C][C]-0.0187066[/C][/ROW]
[ROW][C]23[/C][C]75.2[/C][C]74.8026[/C][C]74.075[/C][C]0.727561[/C][C]0.397439[/C][/ROW]
[ROW][C]24[/C][C]68[/C][C]72.3809[/C][C]73.875[/C][C]-1.49405[/C][C]-4.38095[/C][/ROW]
[ROW][C]25[/C][C]72.8[/C][C]71.4932[/C][C]73.9[/C][C]-2.40681[/C][C]1.30681[/C][/ROW]
[ROW][C]26[/C][C]71.5[/C][C]71.75[/C][C]73.9875[/C][C]-2.23754[/C][C]-0.249957[/C][/ROW]
[ROW][C]27[/C][C]78.5[/C][C]81.8208[/C][C]74.0167[/C][C]7.80412[/C][C]-3.32079[/C][/ROW]
[ROW][C]28[/C][C]76.8[/C][C]73.8664[/C][C]74.2375[/C][C]-0.371137[/C][C]2.93364[/C][/ROW]
[ROW][C]29[/C][C]75.3[/C][C]73.0703[/C][C]74.3625[/C][C]-1.29223[/C][C]2.22973[/C][/ROW]
[ROW][C]30[/C][C]76.7[/C][C]79.4656[/C][C]74.4875[/C][C]4.97808[/C][C]-2.76558[/C][/ROW]
[ROW][C]31[/C][C]69.7[/C][C]67.2825[/C][C]74.7417[/C][C]-7.45916[/C][C]2.41749[/C][/ROW]
[ROW][C]32[/C][C]67.8[/C][C]66.4526[/C][C]74.9667[/C][C]-8.51411[/C][C]1.34744[/C][/ROW]
[ROW][C]33[/C][C]77.5[/C][C]79.6882[/C][C]75.1083[/C][C]4.5799[/C][C]-2.18824[/C][/ROW]
[ROW][C]34[/C][C]82.5[/C][C]80.8854[/C][C]75.2[/C][C]5.68537[/C][C]1.61463[/C][/ROW]
[ROW][C]35[/C][C]75.3[/C][C]75.8859[/C][C]75.1583[/C][C]0.727561[/C][C]-0.585894[/C][/ROW]
[ROW][C]36[/C][C]70.9[/C][C]73.6476[/C][C]75.1417[/C][C]-1.49405[/C][C]-2.74761[/C][/ROW]
[ROW][C]37[/C][C]76[/C][C]72.8932[/C][C]75.3[/C][C]-2.40681[/C][C]3.10681[/C][/ROW]
[ROW][C]38[/C][C]73.7[/C][C]73.1208[/C][C]75.3583[/C][C]-2.23754[/C][C]0.57921[/C][/ROW]
[ROW][C]39[/C][C]79.7[/C][C]83.3166[/C][C]75.5125[/C][C]7.80412[/C][C]-3.61662[/C][/ROW]
[ROW][C]40[/C][C]77.8[/C][C]75.3789[/C][C]75.75[/C][C]-0.371137[/C][C]2.42114[/C][/ROW]
[ROW][C]41[/C][C]73.3[/C][C]74.4869[/C][C]75.7792[/C][C]-1.29223[/C][C]-1.18694[/C][/ROW]
[ROW][C]42[/C][C]78.3[/C][C]81.1156[/C][C]76.1375[/C][C]4.97808[/C][C]-2.81558[/C][/ROW]
[ROW][C]43[/C][C]71.9[/C][C]68.9867[/C][C]76.4458[/C][C]-7.45916[/C][C]2.91332[/C][/ROW]
[ROW][C]44[/C][C]67[/C][C]67.9901[/C][C]76.5042[/C][C]-8.51411[/C][C]-0.990061[/C][/ROW]
[ROW][C]45[/C][C]82[/C][C]81.6007[/C][C]77.0208[/C][C]4.5799[/C][C]0.399262[/C][/ROW]
[ROW][C]46[/C][C]83.7[/C][C]83.2645[/C][C]77.5792[/C][C]5.68537[/C][C]0.43546[/C][/ROW]
[ROW][C]47[/C][C]74.8[/C][C]78.6234[/C][C]77.8958[/C][C]0.727561[/C][C]-3.82339[/C][/ROW]
[ROW][C]48[/C][C]80[/C][C]76.9893[/C][C]78.4833[/C][C]-1.49405[/C][C]3.01072[/C][/ROW]
[ROW][C]49[/C][C]74.3[/C][C]76.6807[/C][C]79.0875[/C][C]-2.40681[/C][C]-2.38069[/C][/ROW]
[ROW][C]50[/C][C]76.8[/C][C]77.3666[/C][C]79.6042[/C][C]-2.23754[/C][C]-0.566623[/C][/ROW]
[ROW][C]51[/C][C]89[/C][C]88.0583[/C][C]80.2542[/C][C]7.80412[/C][C]0.94171[/C][/ROW]
[ROW][C]52[/C][C]81.9[/C][C]80.358[/C][C]80.7292[/C][C]-0.371137[/C][C]1.54197[/C][/ROW]
[ROW][C]53[/C][C]76.8[/C][C]80.0786[/C][C]81.3708[/C][C]-1.29223[/C][C]-3.2786[/C][/ROW]
[ROW][C]54[/C][C]88.9[/C][C]87.1989[/C][C]82.2208[/C][C]4.97808[/C][C]1.70109[/C][/ROW]
[ROW][C]55[/C][C]75.8[/C][C]75.5075[/C][C]82.9667[/C][C]-7.45916[/C][C]0.292491[/C][/ROW]
[ROW][C]56[/C][C]75.5[/C][C]74.9942[/C][C]83.5083[/C][C]-8.51411[/C][C]0.505773[/C][/ROW]
[ROW][C]57[/C][C]89.1[/C][C]88.3341[/C][C]83.7542[/C][C]4.5799[/C][C]0.765929[/C][/ROW]
[ROW][C]58[/C][C]88[/C][C]89.6895[/C][C]84.0042[/C][C]5.68537[/C][C]-1.68954[/C][/ROW]
[ROW][C]59[/C][C]85.9[/C][C]85.1276[/C][C]84.4[/C][C]0.727561[/C][C]0.772439[/C][/ROW]
[ROW][C]60[/C][C]89.3[/C][C]83.2143[/C][C]84.7083[/C][C]-1.49405[/C][C]6.08572[/C][/ROW]
[ROW][C]61[/C][C]82.9[/C][C]82.3015[/C][C]84.7083[/C][C]-2.40681[/C][C]0.598481[/C][/ROW]
[ROW][C]62[/C][C]81.2[/C][C]82.4166[/C][C]84.6542[/C][C]-2.23754[/C][C]-1.21662[/C][/ROW]
[ROW][C]63[/C][C]90.5[/C][C]92.5833[/C][C]84.7792[/C][C]7.80412[/C][C]-2.08329[/C][/ROW]
[ROW][C]64[/C][C]86.4[/C][C]84.4455[/C][C]84.8167[/C][C]-0.371137[/C][C]1.95447[/C][/ROW]
[ROW][C]65[/C][C]81.8[/C][C]83.6411[/C][C]84.9333[/C][C]-1.29223[/C][C]-1.8411[/C][/ROW]
[ROW][C]66[/C][C]91.3[/C][C]90.1281[/C][C]85.15[/C][C]4.97808[/C][C]1.17192[/C][/ROW]
[ROW][C]67[/C][C]73.4[/C][C]77.8992[/C][C]85.3583[/C][C]-7.45916[/C][C]-4.49918[/C][/ROW]
[ROW][C]68[/C][C]76.6[/C][C]77.2192[/C][C]85.7333[/C][C]-8.51411[/C][C]-0.619227[/C][/ROW]
[ROW][C]69[/C][C]91[/C][C]90.8841[/C][C]86.3042[/C][C]4.5799[/C][C]0.115929[/C][/ROW]
[ROW][C]70[/C][C]87[/C][C]92.252[/C][C]86.5667[/C][C]5.68537[/C][C]-5.25204[/C][/ROW]
[ROW][C]71[/C][C]89.7[/C][C]87.6109[/C][C]86.8833[/C][C]0.727561[/C][C]2.08911[/C][/ROW]
[ROW][C]72[/C][C]90.7[/C][C]85.9726[/C][C]87.4667[/C][C]-1.49405[/C][C]4.72739[/C][/ROW]
[ROW][C]73[/C][C]86.5[/C][C]85.4557[/C][C]87.8625[/C][C]-2.40681[/C][C]1.04431[/C][/ROW]
[ROW][C]74[/C][C]86.6[/C][C]86.05[/C][C]88.2875[/C][C]-2.23754[/C][C]0.550043[/C][/ROW]
[ROW][C]75[/C][C]98.8[/C][C]96.4416[/C][C]88.6375[/C][C]7.80412[/C][C]2.35838[/C][/ROW]
[ROW][C]76[/C][C]84.4[/C][C]88.883[/C][C]89.2542[/C][C]-0.371137[/C][C]-4.48303[/C][/ROW]
[ROW][C]77[/C][C]91.4[/C][C]88.6786[/C][C]89.9708[/C][C]-1.29223[/C][C]2.7214[/C][/ROW]
[ROW][C]78[/C][C]95.7[/C][C]95.2281[/C][C]90.25[/C][C]4.97808[/C][C]0.471918[/C][/ROW]
[ROW][C]79[/C][C]78.5[/C][C]83.095[/C][C]90.5542[/C][C]-7.45916[/C][C]-4.59501[/C][/ROW]
[ROW][C]80[/C][C]81.7[/C][C]82.4651[/C][C]90.9792[/C][C]-8.51411[/C][C]-0.765061[/C][/ROW]
[ROW][C]81[/C][C]94.3[/C][C]95.8632[/C][C]91.2833[/C][C]4.5799[/C][C]-1.56324[/C][/ROW]
[ROW][C]82[/C][C]98.5[/C][C]97.4187[/C][C]91.7333[/C][C]5.68537[/C][C]1.08129[/C][/ROW]
[ROW][C]83[/C][C]95.4[/C][C]92.9192[/C][C]92.1917[/C][C]0.727561[/C][C]2.48077[/C][/ROW]
[ROW][C]84[/C][C]91.7[/C][C]91.1101[/C][C]92.6042[/C][C]-1.49405[/C][C]0.589887[/C][/ROW]
[ROW][C]85[/C][C]92.8[/C][C]90.8932[/C][C]93.3[/C][C]-2.40681[/C][C]1.90681[/C][/ROW]
[ROW][C]86[/C][C]90.5[/C][C]91.825[/C][C]94.0625[/C][C]-2.23754[/C][C]-1.32496[/C][/ROW]
[ROW][C]87[/C][C]102.2[/C][C]102.346[/C][C]94.5417[/C][C]7.80412[/C][C]-0.14579[/C][/ROW]
[ROW][C]88[/C][C]91.8[/C][C]94.7414[/C][C]95.1125[/C][C]-0.371137[/C][C]-2.94136[/C][/ROW]
[ROW][C]89[/C][C]95[/C][C]94.4661[/C][C]95.7583[/C][C]-1.29223[/C][C]0.533898[/C][/ROW]
[ROW][C]90[/C][C]102[/C][C]101.103[/C][C]96.125[/C][C]4.97808[/C][C]0.896918[/C][/ROW]
[ROW][C]91[/C][C]88.9[/C][C]89.1492[/C][C]96.6083[/C][C]-7.45916[/C][C]-0.249175[/C][/ROW]
[ROW][C]92[/C][C]89.6[/C][C]88.8692[/C][C]97.3833[/C][C]-8.51411[/C][C]0.730773[/C][/ROW]
[ROW][C]93[/C][C]97.9[/C][C]102.409[/C][C]97.8292[/C][C]4.5799[/C][C]-4.50907[/C][/ROW]
[ROW][C]94[/C][C]108.6[/C][C]104.094[/C][C]98.4083[/C][C]5.68537[/C][C]4.50629[/C][/ROW]
[ROW][C]95[/C][C]100.8[/C][C]99.8442[/C][C]99.1167[/C][C]0.727561[/C][C]0.955773[/C][/ROW]
[ROW][C]96[/C][C]95.1[/C][C]97.9018[/C][C]99.3958[/C][C]-1.49405[/C][C]-2.80178[/C][/ROW]
[ROW][C]97[/C][C]101[/C][C]97.4432[/C][C]99.85[/C][C]-2.40681[/C][C]3.55681[/C][/ROW]
[ROW][C]98[/C][C]100.9[/C][C]97.8666[/C][C]100.104[/C][C]-2.23754[/C][C]3.03338[/C][/ROW]
[ROW][C]99[/C][C]102.5[/C][C]108.262[/C][C]100.458[/C][C]7.80412[/C][C]-5.76246[/C][/ROW]
[ROW][C]100[/C][C]105.4[/C][C]100.437[/C][C]100.808[/C][C]-0.371137[/C][C]4.9628[/C][/ROW]
[ROW][C]101[/C][C]98.4[/C][C]99.1036[/C][C]100.396[/C][C]-1.29223[/C][C]-0.703602[/C][/ROW]
[ROW][C]102[/C][C]105.3[/C][C]105.053[/C][C]100.075[/C][C]4.97808[/C][C]0.246918[/C][/ROW]
[ROW][C]103[/C][C]96.5[/C][C]91.9825[/C][C]99.4417[/C][C]-7.45916[/C][C]4.51749[/C][/ROW]
[ROW][C]104[/C][C]88.1[/C][C]89.6276[/C][C]98.1417[/C][C]-8.51411[/C][C]-1.52756[/C][/ROW]
[ROW][C]105[/C][C]107.9[/C][C]101.755[/C][C]97.175[/C][C]4.5799[/C][C]6.1451[/C][/ROW]
[ROW][C]106[/C][C]107[/C][C]101.735[/C][C]96.05[/C][C]5.68537[/C][C]5.26463[/C][/ROW]
[ROW][C]107[/C][C]92.5[/C][C]95.5776[/C][C]94.85[/C][C]0.727561[/C][C]-3.07756[/C][/ROW]
[ROW][C]108[/C][C]95.7[/C][C]92.4601[/C][C]93.9542[/C][C]-1.49405[/C][C]3.23989[/C][/ROW]
[ROW][C]109[/C][C]85.2[/C][C]90.5057[/C][C]92.9125[/C][C]-2.40681[/C][C]-5.30569[/C][/ROW]
[ROW][C]110[/C][C]85.5[/C][C]89.9125[/C][C]92.15[/C][C]-2.23754[/C][C]-4.41246[/C][/ROW]
[ROW][C]111[/C][C]94.7[/C][C]99.2708[/C][C]91.4667[/C][C]7.80412[/C][C]-4.57079[/C][/ROW]
[ROW][C]112[/C][C]86.2[/C][C]90.1789[/C][C]90.55[/C][C]-0.371137[/C][C]-3.97886[/C][/ROW]
[ROW][C]113[/C][C]88.8[/C][C]88.8203[/C][C]90.1125[/C][C]-1.29223[/C][C]-0.0202691[/C][/ROW]
[ROW][C]114[/C][C]93.4[/C][C]94.9822[/C][C]90.0042[/C][C]4.97808[/C][C]-1.58225[/C][/ROW]
[ROW][C]115[/C][C]83.4[/C][C]82.6242[/C][C]90.0833[/C][C]-7.45916[/C][C]0.775825[/C][/ROW]
[ROW][C]116[/C][C]82.9[/C][C]82.1817[/C][C]90.6958[/C][C]-8.51411[/C][C]0.718273[/C][/ROW]
[ROW][C]117[/C][C]96.7[/C][C]96.2549[/C][C]91.675[/C][C]4.5799[/C][C]0.445095[/C][/ROW]
[ROW][C]118[/C][C]96.2[/C][C]98.3479[/C][C]92.6625[/C][C]5.68537[/C][C]-2.14787[/C][/ROW]
[ROW][C]119[/C][C]92.8[/C][C]94.0692[/C][C]93.3417[/C][C]0.727561[/C][C]-1.26923[/C][/ROW]
[ROW][C]120[/C][C]92.8[/C][C]92.7559[/C][C]94.25[/C][C]-1.49405[/C][C]0.0440538[/C][/ROW]
[ROW][C]121[/C][C]90[/C][C]92.8515[/C][C]95.2583[/C][C]-2.40681[/C][C]-2.85152[/C][/ROW]
[ROW][C]122[/C][C]95.4[/C][C]93.7708[/C][C]96.0083[/C][C]-2.23754[/C][C]1.62921[/C][/ROW]
[ROW][C]123[/C][C]108.3[/C][C]104.633[/C][C]96.8292[/C][C]7.80412[/C][C]3.66671[/C][/ROW]
[ROW][C]124[/C][C]96.3[/C][C]97.2747[/C][C]97.6458[/C][C]-0.371137[/C][C]-0.974696[/C][/ROW]
[ROW][C]125[/C][C]95[/C][C]97.2661[/C][C]98.5583[/C][C]-1.29223[/C][C]-2.2661[/C][/ROW]
[ROW][C]126[/C][C]109[/C][C]104.524[/C][C]99.5458[/C][C]4.97808[/C][C]4.47609[/C][/ROW]
[ROW][C]127[/C][C]92[/C][C]92.9325[/C][C]100.392[/C][C]-7.45916[/C][C]-0.932509[/C][/ROW]
[ROW][C]128[/C][C]92.3[/C][C]92.5442[/C][C]101.058[/C][C]-8.51411[/C][C]-0.244227[/C][/ROW]
[ROW][C]129[/C][C]107[/C][C]106.472[/C][C]101.892[/C][C]4.5799[/C][C]0.528429[/C][/ROW]
[ROW][C]130[/C][C]105.5[/C][C]108.377[/C][C]102.692[/C][C]5.68537[/C][C]-2.87704[/C][/ROW]
[ROW][C]131[/C][C]105.4[/C][C]104.294[/C][C]103.567[/C][C]0.727561[/C][C]1.10577[/C][/ROW]
[ROW][C]132[/C][C]103.9[/C][C]102.568[/C][C]104.063[/C][C]-1.49405[/C][C]1.33155[/C][/ROW]
[ROW][C]133[/C][C]99.2[/C][C]101.522[/C][C]103.929[/C][C]-2.40681[/C][C]-2.32235[/C][/ROW]
[ROW][C]134[/C][C]102.2[/C][C]102.008[/C][C]104.246[/C][C]-2.23754[/C][C]0.19171[/C][/ROW]
[ROW][C]135[/C][C]121.5[/C][C]112.567[/C][C]104.762[/C][C]7.80412[/C][C]8.93338[/C][/ROW]
[ROW][C]136[/C][C]102.3[/C][C]104.562[/C][C]104.933[/C][C]-0.371137[/C][C]-2.2622[/C][/ROW]
[ROW][C]137[/C][C]110[/C][C]103.529[/C][C]104.821[/C][C]-1.29223[/C][C]6.4714[/C][/ROW]
[ROW][C]138[/C][C]105.9[/C][C]109.624[/C][C]104.646[/C][C]4.97808[/C][C]-3.72391[/C][/ROW]
[ROW][C]139[/C][C]91.9[/C][C]97.1658[/C][C]104.625[/C][C]-7.45916[/C][C]-5.26584[/C][/ROW]
[ROW][C]140[/C][C]100[/C][C]96.2609[/C][C]104.775[/C][C]-8.51411[/C][C]3.73911[/C][/ROW]
[ROW][C]141[/C][C]111.7[/C][C]109.23[/C][C]104.65[/C][C]4.5799[/C][C]2.4701[/C][/ROW]
[ROW][C]142[/C][C]104.9[/C][C]109.944[/C][C]104.258[/C][C]5.68537[/C][C]-5.04371[/C][/ROW]
[ROW][C]143[/C][C]103.3[/C][C]104.415[/C][C]103.687[/C][C]0.727561[/C][C]-1.11506[/C][/ROW]
[ROW][C]144[/C][C]101.8[/C][C]101.852[/C][C]103.346[/C][C]-1.49405[/C][C]-0.0517795[/C][/ROW]
[ROW][C]145[/C][C]100.8[/C][C]101.168[/C][C]103.575[/C][C]-2.40681[/C][C]-0.368186[/C][/ROW]
[ROW][C]146[/C][C]104.2[/C][C]101.354[/C][C]103.592[/C][C]-2.23754[/C][C]2.84588[/C][/ROW]
[ROW][C]147[/C][C]116.5[/C][C]110.929[/C][C]103.125[/C][C]7.80412[/C][C]5.57088[/C][/ROW]
[ROW][C]148[/C][C]97.9[/C][C]102.558[/C][C]102.929[/C][C]-0.371137[/C][C]-4.65803[/C][/ROW]
[ROW][C]149[/C][C]100.7[/C][C]101.704[/C][C]102.996[/C][C]-1.29223[/C][C]-1.0036[/C][/ROW]
[ROW][C]150[/C][C]107[/C][C]107.649[/C][C]102.671[/C][C]4.97808[/C][C]-0.648915[/C][/ROW]
[ROW][C]151[/C][C]96.3[/C][C]94.8408[/C][C]102.3[/C][C]-7.45916[/C][C]1.45916[/C][/ROW]
[ROW][C]152[/C][C]96[/C][C]93.3942[/C][C]101.908[/C][C]-8.51411[/C][C]2.60577[/C][/ROW]
[ROW][C]153[/C][C]104.5[/C][C]105.834[/C][C]101.254[/C][C]4.5799[/C][C]-1.33407[/C][/ROW]
[ROW][C]154[/C][C]107.4[/C][C]106.84[/C][C]101.154[/C][C]5.68537[/C][C]0.56046[/C][/ROW]
[ROW][C]155[/C][C]102.4[/C][C]102.194[/C][C]101.467[/C][C]0.727561[/C][C]0.205773[/C][/ROW]
[ROW][C]156[/C][C]94.9[/C][C]100.048[/C][C]101.542[/C][C]-1.49405[/C][C]-5.14761[/C][/ROW]
[ROW][C]157[/C][C]98.8[/C][C]99.3807[/C][C]101.788[/C][C]-2.40681[/C][C]-0.580686[/C][/ROW]
[ROW][C]158[/C][C]96.8[/C][C]99.6458[/C][C]101.883[/C][C]-2.23754[/C][C]-2.84579[/C][/ROW]
[ROW][C]159[/C][C]108.2[/C][C]109.575[/C][C]101.771[/C][C]7.80412[/C][C]-1.37496[/C][/ROW]
[ROW][C]160[/C][C]103.8[/C][C]101.662[/C][C]102.033[/C][C]-0.371137[/C][C]2.1378[/C][/ROW]
[ROW][C]161[/C][C]102.3[/C][C]101.108[/C][C]102.4[/C][C]-1.29223[/C][C]1.19223[/C][/ROW]
[ROW][C]162[/C][C]107.2[/C][C]107.791[/C][C]102.812[/C][C]4.97808[/C][C]-0.590582[/C][/ROW]
[ROW][C]163[/C][C]102[/C][C]95.7533[/C][C]103.212[/C][C]-7.45916[/C][C]6.24666[/C][/ROW]
[ROW][C]164[/C][C]92.6[/C][C]95.0651[/C][C]103.579[/C][C]-8.51411[/C][C]-2.46506[/C][/ROW]
[ROW][C]165[/C][C]105.2[/C][C]108.438[/C][C]103.858[/C][C]4.5799[/C][C]-3.23824[/C][/ROW]
[ROW][C]166[/C][C]113[/C][C]109.648[/C][C]103.962[/C][C]5.68537[/C][C]3.35213[/C][/ROW]
[ROW][C]167[/C][C]105.6[/C][C]104.803[/C][C]104.075[/C][C]0.727561[/C][C]0.797439[/C][/ROW]
[ROW][C]168[/C][C]101.6[/C][C]102.681[/C][C]104.175[/C][C]-1.49405[/C][C]-1.08095[/C][/ROW]
[ROW][C]169[/C][C]101.7[/C][C]101.668[/C][C]104.075[/C][C]-2.40681[/C][C]0.0318142[/C][/ROW]
[ROW][C]170[/C][C]102.7[/C][C]101.571[/C][C]103.808[/C][C]-2.23754[/C][C]1.12921[/C][/ROW]
[ROW][C]171[/C][C]109[/C][C]111.804[/C][C]104[/C][C]7.80412[/C][C]-2.80412[/C][/ROW]
[ROW][C]172[/C][C]105.5[/C][C]103.883[/C][C]104.254[/C][C]-0.371137[/C][C]1.61697[/C][/ROW]
[ROW][C]173[/C][C]103.3[/C][C]102.77[/C][C]104.062[/C][C]-1.29223[/C][C]0.529731[/C][/ROW]
[ROW][C]174[/C][C]108.6[/C][C]108.928[/C][C]103.95[/C][C]4.97808[/C][C]-0.328082[/C][/ROW]
[ROW][C]175[/C][C]98.2[/C][C]96.5242[/C][C]103.983[/C][C]-7.45916[/C][C]1.67582[/C][/ROW]
[ROW][C]176[/C][C]90[/C][C]95.3026[/C][C]103.817[/C][C]-8.51411[/C][C]-5.30256[/C][/ROW]
[ROW][C]177[/C][C]112.4[/C][C]108.438[/C][C]103.858[/C][C]4.5799[/C][C]3.96176[/C][/ROW]
[ROW][C]178[/C][C]111.9[/C][C]109.735[/C][C]104.05[/C][C]5.68537[/C][C]2.16463[/C][/ROW]
[ROW][C]179[/C][C]102.1[/C][C]104.553[/C][C]103.825[/C][C]0.727561[/C][C]-2.45256[/C][/ROW]
[ROW][C]180[/C][C]102.4[/C][C]102.181[/C][C]103.675[/C][C]-1.49405[/C][C]0.219054[/C][/ROW]
[ROW][C]181[/C][C]101.7[/C][C]101.256[/C][C]103.662[/C][C]-2.40681[/C][C]0.444314[/C][/ROW]
[ROW][C]182[/C][C]98.7[/C][C]101.446[/C][C]103.683[/C][C]-2.23754[/C][C]-2.74579[/C][/ROW]
[ROW][C]183[/C][C]114[/C][C]111.562[/C][C]103.758[/C][C]7.80412[/C][C]2.43754[/C][/ROW]
[ROW][C]184[/C][C]105.1[/C][C]103.35[/C][C]103.721[/C][C]-0.371137[/C][C]1.7503[/C][/ROW]
[ROW][C]185[/C][C]98.3[/C][C]102.633[/C][C]103.925[/C][C]-1.29223[/C][C]-4.33277[/C][/ROW]
[ROW][C]186[/C][C]110[/C][C]109.17[/C][C]104.192[/C][C]4.97808[/C][C]0.830252[/C][/ROW]
[ROW][C]187[/C][C]96.5[/C][C]96.8492[/C][C]104.308[/C][C]-7.45916[/C][C]-0.349175[/C][/ROW]
[ROW][C]188[/C][C]92.2[/C][C]96.2317[/C][C]104.746[/C][C]-8.51411[/C][C]-4.03173[/C][/ROW]
[ROW][C]189[/C][C]112[/C][C]109.838[/C][C]105.258[/C][C]4.5799[/C][C]2.16176[/C][/ROW]
[ROW][C]190[/C][C]111.4[/C][C]111.306[/C][C]105.621[/C][C]5.68537[/C][C]0.0937934[/C][/ROW]
[ROW][C]191[/C][C]107.5[/C][C]106.811[/C][C]106.083[/C][C]0.727561[/C][C]0.689106[/C][/ROW]
[ROW][C]192[/C][C]103.4[/C][C]105.085[/C][C]106.579[/C][C]-1.49405[/C][C]-1.68511[/C][/ROW]
[ROW][C]193[/C][C]103.5[/C][C]104.518[/C][C]106.925[/C][C]-2.40681[/C][C]-1.01819[/C][/ROW]
[ROW][C]194[/C][C]107.4[/C][C]105.192[/C][C]107.429[/C][C]-2.23754[/C][C]2.20838[/C][/ROW]
[ROW][C]195[/C][C]117.6[/C][C]115.7[/C][C]107.896[/C][C]7.80412[/C][C]1.90004[/C][/ROW]
[ROW][C]196[/C][C]110.2[/C][C]107.508[/C][C]107.879[/C][C]-0.371137[/C][C]2.69197[/C][/ROW]
[ROW][C]197[/C][C]104.3[/C][C]106.612[/C][C]107.904[/C][C]-1.29223[/C][C]-2.31194[/C][/ROW]
[ROW][C]198[/C][C]115.9[/C][C]113.436[/C][C]108.458[/C][C]4.97808[/C][C]2.46359[/C][/ROW]
[ROW][C]199[/C][C]98.9[/C][C]NA[/C][C]NA[/C][C]-7.45916[/C][C]NA[/C][/ROW]
[ROW][C]200[/C][C]101.9[/C][C]NA[/C][C]NA[/C][C]-8.51411[/C][C]NA[/C][/ROW]
[ROW][C]201[/C][C]113.5[/C][C]NA[/C][C]NA[/C][C]4.5799[/C][C]NA[/C][/ROW]
[ROW][C]202[/C][C]109.5[/C][C]NA[/C][C]NA[/C][C]5.68537[/C][C]NA[/C][/ROW]
[ROW][C]203[/C][C]110[/C][C]NA[/C][C]NA[/C][C]0.727561[/C][C]NA[/C][/ROW]
[ROW][C]204[/C][C]114.2[/C][C]NA[/C][C]NA[/C][C]-1.49405[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=308637&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=308637&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
162.4NANA-2.40681NA
267.4NANA-2.23754NA
376.1NANA7.80412NA
467.4NANA-0.371137NA
574.5NANA-1.29223NA
672.6NANA4.97808NA
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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')