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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_decompose.wasp
Title produced by softwareClassical Decomposition
Date of computationFri, 15 Dec 2017 09:35:57 +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/15/t15133274238mm9o2e3kvgey5b.htm/, Retrieved Wed, 15 May 2024 01:54:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=309615, Retrieved Wed, 15 May 2024 01:54:59 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact95
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Classical Decomposition] [Dataset 3: Classi...] [2017-12-15 08:35:57] [175ae270eadec1eee45a9232fd93e8f5] [Current]
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Dataseries X:
122,2
136,1
145,5
116,7
137,1
125,5
112,4
106,3
145,7
151,5
144,6
116,4
137,7
138,8
149,5
125
133,4
134,4
124,8
110,6
142,4
149,6
134,6
103,3
136,5
137,1
140,7
131,4
126,2
125,3
126,6
107,7
144,5
154,2
131,4
105,7
136,2
133,3
130
129,3
113,1
117,7
116,3
97,3
140,6
141,2
120,8
106,2
121,5
122,6
137,2
118,9
107,2
127,4
111,8
100
138,3
128
121,2
105,9
112,5
123,1
129
115,5
105,7
122,3
106,4
101,1
131,6
119,5
127
106,9
115,9
122,7
137,2
108,5
115,2
129,4
112,3
104,3
140
139,9
134,9
105,1
127
135,5
143,9
115,8
117,5
129,3
117,9
108,1
131,7
143,7
126,2
96,9
125,8
129,6
124,9
136,8
107,5
114,3
110,3
85,5
116,8
115,1
95,2
83,4
95,4
96,3
100,5
90,9
80,6
94,8
93,9
75,9
101,6
103,3
91,8
83,5
92
101,2
109,1
99,8
90,8
110,6
97,8
81,9
114,4
108,8
103,1
90,4
94,4
100,5
115,1
93,9
102,5
97,1
91,2
82,3
107,1
99,2
94,8
81,1
92,5
97,7
98,5
81,2
86,2
92
86,3
74,8
90
101,1
87,8
66,3
88,6
90
92
85,1
85,9
88,5
92,3
68
93,6
97,7
85,1
69,9
96,1
97
95,9
91,3
83,5
91,4
96,8
71
106,9
102,7
84,9
75,8
93,6
100,7
100,5
95,9
85,7
104,1
93,5
81,5
102,1
98,2
88,4
77,8
90,1
101
98,6
91,5
86,4
98,9
85,2
77,3
93
86,8
91,3
74,9
93,9
95
103,1
81,4
93,1
97,2
86,4
75,5




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=309615&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=309615&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309615&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
1122.2NANA1.20926NA
2136.1NANA5.6073NA
3145.5NANA10.5362NA
4116.7NANA-1.1456NA
5137.1NANA-6.0508NA
6125.5NANA3.57732NA
7112.4126.438130.646-4.20765-14.0382
8106.3113.12131.404-18.2846-6.81955
9145.7143.409131.68311.72592.29074
10151.5144.124132.19611.92817.37603
11144.6134.075132.3881.687210.5253
12116.4116.022132.604-16.58270.378485
13137.7134.701133.4921.209262.99907
14138.8139.795134.1885.6073-0.994799
15149.5144.765134.22910.53624.73466
16125132.867134.012-1.1456-7.8669
17133.4127.466133.517-6.05085.93414
18134.4136.131132.5543.57732-1.73149
19124.8127.751131.958-4.20765-2.95068
20110.6113.553131.837-18.2846-2.95289
21142.4143.126131.411.7259-0.725927
22149.6143.228131.311.92816.37187
23134.6132.954131.2671.68721.64613
24103.3114.005130.588-16.5827-10.7048
25136.5131.493130.2831.209265.00741
26137.1135.845130.2375.60731.2552
27140.7140.74130.20410.5362-0.0403416
28131.4129.338130.483-1.14562.06226
29126.2124.491130.542-6.05081.70914
30125.3134.086130.5083.57732-8.78565
31126.6126.388130.596-4.207650.211818
32107.7112.14130.425-18.2846-4.44039
33144.5141.547129.82111.72592.95324
34154.2141.216129.28811.928112.9844
35131.4130.341128.6541.68721.05863
36105.7111.209127.792-16.5827-5.50902
37136.2128.255127.0461.209267.94491
38133.3131.791126.1835.60731.50937
39130136.124125.58710.5362-6.12367
40129.3123.738124.883-1.14565.56226
41113.1117.849123.9-6.0508-4.7492
42117.7127.056123.4793.57732-9.35649
43116.3118.68122.887-4.20765-2.37985
4497.3103.545121.829-18.2846-6.24455
45140.6133.409121.68311.72597.19074
46141.2133.478121.5511.92817.72187
47120.8122.558120.8711.6872-1.75803
48106.2104.447121.029-16.58271.75348
49121.5122.455121.2461.20926-0.955093
50122.6126.778121.1715.6073-4.17813
51137.2131.724121.18810.53625.47633
52118.9119.396120.542-1.1456-0.496071
53107.2113.958120.008-6.0508-6.75753
54127.4123.59120.0123.577323.81018
55111.8115.417119.625-4.20765-3.61735
56100100.986119.271-18.2846-0.986221
57138.3130.676118.9511.72597.62407
58128130.395118.46711.9281-2.3948
59121.2119.95118.2621.68721.2503
60105.9101.405117.988-16.58274.49515
61112.5118.759117.551.20926-6.25926
62123.1122.978117.3715.60730.121867
63129127.674117.13810.53621.32633
64115.5115.359116.504-1.14560.141429
65105.7110.341116.392-6.0508-4.64086
66122.3120.252116.6753.577322.04768
67106.4112.651116.858-4.20765-6.25068
68101.198.6987116.983-18.28462.40128
69131.6129.034117.30811.72592.56574
70119.5129.286117.35811.9281-9.78647
71127119.15117.4621.68727.8503
72106.9101.572118.154-16.58275.32848
73115.9119.905118.6961.20926-4.00509
74122.7124.682119.0755.6073-1.9823
75137.2130.095119.55810.53627.10549
76108.5119.613120.758-1.1456-11.1127
77115.2115.887121.938-6.0508-0.686696
78129.4125.769122.1923.577323.63101
79112.3118.372122.579-4.20765-6.07152
80104.3105.29123.575-18.2846-0.990388
81140136.113124.38711.72593.88657
82139.9136.899124.97111.92813.00103
83134.9127.058125.3711.68727.84197
84105.1108.88125.462-16.5827-3.77985
85127126.901125.6921.209260.0990732
86135.5131.691126.0835.60733.80937
87143.9136.432125.89610.53627.46799
88115.8124.563125.708-1.1456-8.76274
89117.5119.453125.504-6.0508-1.95336
90129.3128.377124.83.577320.922679
91117.9120.201124.408-4.20765-2.30068
92108.1105.828124.112-18.28462.27211
93131.7134.801123.07511.7259-3.10093
94143.7135.086123.15811.92818.61353
95126.2125.304123.6171.68720.896132
9696.9105.992122.575-16.5827-9.09235
97125.8122.843121.6331.209262.95741
98129.6125.982120.3755.60733.6177
99124.9129.349118.81210.5362-4.44867
100136.8115.854117-1.145620.9456
101107.5108.466114.517-6.0508-0.965862
102114.3116.24112.6623.57732-1.93982
103110.3106.626110.833-4.207653.67432
10485.589.8946108.179-18.2846-4.39455
105116.8117.501105.77511.7259-0.700927
106115.1114.774102.84611.92810.326034
10795.2101.599.81251.6872-6.2997
10883.481.296597.8792-16.58272.10348
10995.497.592696.38331.20926-2.19259
11096.3100.90795.35.6073-4.6073
111100.5104.80394.266710.5362-4.30284
11290.991.996193.1417-1.1456-1.09607
11380.686.457592.5083-6.0508-5.85753
11494.895.948292.37083.57732-1.14815
11593.988.025792.2333-4.207655.87432
11675.974.011292.2958-18.28461.88878
117101.6104.58492.858311.7259-2.98426
118103.3105.51693.587511.9281-2.21563
11991.896.070594.38331.6872-4.27053
12083.578.88495.4667-16.58274.61598
1219297.496896.28751.20926-5.49676
122101.2102.30796.75.6073-1.1073
123109.1108.0297.483310.53621.08049
12499.897.100298.2458-1.14562.69976
12590.892.89598.9458-6.0508-2.09503
126110.6103.28199.70423.577327.31851
12797.895.884100.092-4.207651.91598
12881.981.8779100.162-18.28460.0221124
129114.4112.109100.38311.72592.29074
130108.8112.316100.38711.9281-3.51563
131103.1102.316100.6291.68720.783632
13290.483.9715100.554-16.58276.42848
13394.4100.92699.71671.20926-6.52593
134100.5105.06699.45835.6073-4.56563
135115.1109.70799.170810.53625.39299
13693.997.321198.4667-1.1456-3.42107
137102.591.6797.7208-6.050810.83
13897.1100.56596.98753.57732-3.46482
13991.292.313296.5208-4.20765-1.11318
14082.378.040496.325-18.28464.25961
141107.1107.24395.516711.7259-0.142593
14299.2106.22494.295811.9281-7.02397
14394.894.774793.08751.68720.0252987
14481.175.613292.1958-16.58275.48682
14592.592.988491.77921.20926-0.488427
14697.796.869891.26255.60730.830201
14798.5100.77490.237510.5362-2.27367
14881.288.458689.6042-1.1456-7.25857
14986.283.340989.3917-6.05082.85914
1509292.060788.48333.57732-0.0606541
15186.383.496587.7042-4.207652.80348
15274.868.936287.2208-18.28465.86378
1539098.355186.629211.7259-8.35509
154101.198.44986.520811.92812.65103
15587.888.35886.67081.6872-0.558035
15666.369.929886.5125-16.5827-3.62985
15788.687.825986.61671.209260.774073
1589092.190686.58335.6073-2.19063
1599296.986286.4510.5362-4.98617
16085.185.312786.4583-1.1456-0.212737
16185.980.153486.2042-6.05085.74664
16288.589.81986.24173.57732-1.31899
16392.382.496586.7042-4.207659.80348
1646869.023787.3083-18.2846-1.02372
16593.699.488487.762511.7259-5.88843
16697.7100.11188.183311.9281-2.41147
16785.190.028988.34171.6872-4.92887
16869.971.779888.3625-16.5827-1.87985
16996.189.880188.67081.209266.21991
1709794.590688.98335.60732.40937
17195.9100.19989.662510.5362-4.29867
17291.389.279490.425-1.14562.0206
17383.584.574290.625-6.0508-1.0742
17491.494.439890.86253.57732-3.03982
17596.886.796591.0042-4.2076510.0035
1767172.769691.0542-18.2846-1.76955
177106.9103.12691.411.72593.77407
178102.7103.71191.783311.9281-1.01147
17984.993.753992.06671.6872-8.85387
18075.876.104892.6875-16.5827-0.304848
18193.694.288493.07921.20926-0.688427
182100.798.986593.37925.60731.71353
183100.5104.15393.616710.5362-3.65284
18495.992.083693.2292-1.14563.81643
18585.787.136793.1875-6.0508-1.4367
186104.196.99493.41673.577327.10601
18793.589.146593.3542-4.207654.35348
18881.574.936293.2208-18.28466.56378
189102.1104.8893.154211.7259-2.78009
19098.2104.8292.891711.9281-6.6198
19188.494.424792.73751.6872-6.0247
19277.875.967392.55-16.58271.83265
19390.193.196891.98751.20926-3.09676
19410197.07491.46675.60733.92603
19598.6101.44990.912510.5362-2.84867
19691.588.912790.0583-1.14562.58726
19786.483.653489.7042-6.05082.74664
19898.993.281589.70423.577325.61851
19985.285.53489.7417-4.20765-0.334015
20077.371.365489.65-18.28465.93461
20193101.31389.587511.7259-8.31343
20286.8101.28289.354211.9281-14.4823
20391.390.899789.21251.68720.400299
20474.972.838289.4208-16.58272.06182
20593.990.609389.41.209263.29074
2069594.982389.3755.60730.0177007
207103.1NANA10.5362NA
20881.4NANA-1.1456NA
20993.1NANA-6.0508NA
21097.2NANA3.57732NA
21186.4NANA-4.20765NA
21275.5NANA-18.2846NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 122.2 & NA & NA & 1.20926 & NA \tabularnewline
2 & 136.1 & NA & NA & 5.6073 & NA \tabularnewline
3 & 145.5 & NA & NA & 10.5362 & NA \tabularnewline
4 & 116.7 & NA & NA & -1.1456 & NA \tabularnewline
5 & 137.1 & NA & NA & -6.0508 & NA \tabularnewline
6 & 125.5 & NA & NA & 3.57732 & NA \tabularnewline
7 & 112.4 & 126.438 & 130.646 & -4.20765 & -14.0382 \tabularnewline
8 & 106.3 & 113.12 & 131.404 & -18.2846 & -6.81955 \tabularnewline
9 & 145.7 & 143.409 & 131.683 & 11.7259 & 2.29074 \tabularnewline
10 & 151.5 & 144.124 & 132.196 & 11.9281 & 7.37603 \tabularnewline
11 & 144.6 & 134.075 & 132.388 & 1.6872 & 10.5253 \tabularnewline
12 & 116.4 & 116.022 & 132.604 & -16.5827 & 0.378485 \tabularnewline
13 & 137.7 & 134.701 & 133.492 & 1.20926 & 2.99907 \tabularnewline
14 & 138.8 & 139.795 & 134.188 & 5.6073 & -0.994799 \tabularnewline
15 & 149.5 & 144.765 & 134.229 & 10.5362 & 4.73466 \tabularnewline
16 & 125 & 132.867 & 134.012 & -1.1456 & -7.8669 \tabularnewline
17 & 133.4 & 127.466 & 133.517 & -6.0508 & 5.93414 \tabularnewline
18 & 134.4 & 136.131 & 132.554 & 3.57732 & -1.73149 \tabularnewline
19 & 124.8 & 127.751 & 131.958 & -4.20765 & -2.95068 \tabularnewline
20 & 110.6 & 113.553 & 131.837 & -18.2846 & -2.95289 \tabularnewline
21 & 142.4 & 143.126 & 131.4 & 11.7259 & -0.725927 \tabularnewline
22 & 149.6 & 143.228 & 131.3 & 11.9281 & 6.37187 \tabularnewline
23 & 134.6 & 132.954 & 131.267 & 1.6872 & 1.64613 \tabularnewline
24 & 103.3 & 114.005 & 130.588 & -16.5827 & -10.7048 \tabularnewline
25 & 136.5 & 131.493 & 130.283 & 1.20926 & 5.00741 \tabularnewline
26 & 137.1 & 135.845 & 130.237 & 5.6073 & 1.2552 \tabularnewline
27 & 140.7 & 140.74 & 130.204 & 10.5362 & -0.0403416 \tabularnewline
28 & 131.4 & 129.338 & 130.483 & -1.1456 & 2.06226 \tabularnewline
29 & 126.2 & 124.491 & 130.542 & -6.0508 & 1.70914 \tabularnewline
30 & 125.3 & 134.086 & 130.508 & 3.57732 & -8.78565 \tabularnewline
31 & 126.6 & 126.388 & 130.596 & -4.20765 & 0.211818 \tabularnewline
32 & 107.7 & 112.14 & 130.425 & -18.2846 & -4.44039 \tabularnewline
33 & 144.5 & 141.547 & 129.821 & 11.7259 & 2.95324 \tabularnewline
34 & 154.2 & 141.216 & 129.288 & 11.9281 & 12.9844 \tabularnewline
35 & 131.4 & 130.341 & 128.654 & 1.6872 & 1.05863 \tabularnewline
36 & 105.7 & 111.209 & 127.792 & -16.5827 & -5.50902 \tabularnewline
37 & 136.2 & 128.255 & 127.046 & 1.20926 & 7.94491 \tabularnewline
38 & 133.3 & 131.791 & 126.183 & 5.6073 & 1.50937 \tabularnewline
39 & 130 & 136.124 & 125.587 & 10.5362 & -6.12367 \tabularnewline
40 & 129.3 & 123.738 & 124.883 & -1.1456 & 5.56226 \tabularnewline
41 & 113.1 & 117.849 & 123.9 & -6.0508 & -4.7492 \tabularnewline
42 & 117.7 & 127.056 & 123.479 & 3.57732 & -9.35649 \tabularnewline
43 & 116.3 & 118.68 & 122.887 & -4.20765 & -2.37985 \tabularnewline
44 & 97.3 & 103.545 & 121.829 & -18.2846 & -6.24455 \tabularnewline
45 & 140.6 & 133.409 & 121.683 & 11.7259 & 7.19074 \tabularnewline
46 & 141.2 & 133.478 & 121.55 & 11.9281 & 7.72187 \tabularnewline
47 & 120.8 & 122.558 & 120.871 & 1.6872 & -1.75803 \tabularnewline
48 & 106.2 & 104.447 & 121.029 & -16.5827 & 1.75348 \tabularnewline
49 & 121.5 & 122.455 & 121.246 & 1.20926 & -0.955093 \tabularnewline
50 & 122.6 & 126.778 & 121.171 & 5.6073 & -4.17813 \tabularnewline
51 & 137.2 & 131.724 & 121.188 & 10.5362 & 5.47633 \tabularnewline
52 & 118.9 & 119.396 & 120.542 & -1.1456 & -0.496071 \tabularnewline
53 & 107.2 & 113.958 & 120.008 & -6.0508 & -6.75753 \tabularnewline
54 & 127.4 & 123.59 & 120.012 & 3.57732 & 3.81018 \tabularnewline
55 & 111.8 & 115.417 & 119.625 & -4.20765 & -3.61735 \tabularnewline
56 & 100 & 100.986 & 119.271 & -18.2846 & -0.986221 \tabularnewline
57 & 138.3 & 130.676 & 118.95 & 11.7259 & 7.62407 \tabularnewline
58 & 128 & 130.395 & 118.467 & 11.9281 & -2.3948 \tabularnewline
59 & 121.2 & 119.95 & 118.262 & 1.6872 & 1.2503 \tabularnewline
60 & 105.9 & 101.405 & 117.988 & -16.5827 & 4.49515 \tabularnewline
61 & 112.5 & 118.759 & 117.55 & 1.20926 & -6.25926 \tabularnewline
62 & 123.1 & 122.978 & 117.371 & 5.6073 & 0.121867 \tabularnewline
63 & 129 & 127.674 & 117.138 & 10.5362 & 1.32633 \tabularnewline
64 & 115.5 & 115.359 & 116.504 & -1.1456 & 0.141429 \tabularnewline
65 & 105.7 & 110.341 & 116.392 & -6.0508 & -4.64086 \tabularnewline
66 & 122.3 & 120.252 & 116.675 & 3.57732 & 2.04768 \tabularnewline
67 & 106.4 & 112.651 & 116.858 & -4.20765 & -6.25068 \tabularnewline
68 & 101.1 & 98.6987 & 116.983 & -18.2846 & 2.40128 \tabularnewline
69 & 131.6 & 129.034 & 117.308 & 11.7259 & 2.56574 \tabularnewline
70 & 119.5 & 129.286 & 117.358 & 11.9281 & -9.78647 \tabularnewline
71 & 127 & 119.15 & 117.462 & 1.6872 & 7.8503 \tabularnewline
72 & 106.9 & 101.572 & 118.154 & -16.5827 & 5.32848 \tabularnewline
73 & 115.9 & 119.905 & 118.696 & 1.20926 & -4.00509 \tabularnewline
74 & 122.7 & 124.682 & 119.075 & 5.6073 & -1.9823 \tabularnewline
75 & 137.2 & 130.095 & 119.558 & 10.5362 & 7.10549 \tabularnewline
76 & 108.5 & 119.613 & 120.758 & -1.1456 & -11.1127 \tabularnewline
77 & 115.2 & 115.887 & 121.938 & -6.0508 & -0.686696 \tabularnewline
78 & 129.4 & 125.769 & 122.192 & 3.57732 & 3.63101 \tabularnewline
79 & 112.3 & 118.372 & 122.579 & -4.20765 & -6.07152 \tabularnewline
80 & 104.3 & 105.29 & 123.575 & -18.2846 & -0.990388 \tabularnewline
81 & 140 & 136.113 & 124.387 & 11.7259 & 3.88657 \tabularnewline
82 & 139.9 & 136.899 & 124.971 & 11.9281 & 3.00103 \tabularnewline
83 & 134.9 & 127.058 & 125.371 & 1.6872 & 7.84197 \tabularnewline
84 & 105.1 & 108.88 & 125.462 & -16.5827 & -3.77985 \tabularnewline
85 & 127 & 126.901 & 125.692 & 1.20926 & 0.0990732 \tabularnewline
86 & 135.5 & 131.691 & 126.083 & 5.6073 & 3.80937 \tabularnewline
87 & 143.9 & 136.432 & 125.896 & 10.5362 & 7.46799 \tabularnewline
88 & 115.8 & 124.563 & 125.708 & -1.1456 & -8.76274 \tabularnewline
89 & 117.5 & 119.453 & 125.504 & -6.0508 & -1.95336 \tabularnewline
90 & 129.3 & 128.377 & 124.8 & 3.57732 & 0.922679 \tabularnewline
91 & 117.9 & 120.201 & 124.408 & -4.20765 & -2.30068 \tabularnewline
92 & 108.1 & 105.828 & 124.112 & -18.2846 & 2.27211 \tabularnewline
93 & 131.7 & 134.801 & 123.075 & 11.7259 & -3.10093 \tabularnewline
94 & 143.7 & 135.086 & 123.158 & 11.9281 & 8.61353 \tabularnewline
95 & 126.2 & 125.304 & 123.617 & 1.6872 & 0.896132 \tabularnewline
96 & 96.9 & 105.992 & 122.575 & -16.5827 & -9.09235 \tabularnewline
97 & 125.8 & 122.843 & 121.633 & 1.20926 & 2.95741 \tabularnewline
98 & 129.6 & 125.982 & 120.375 & 5.6073 & 3.6177 \tabularnewline
99 & 124.9 & 129.349 & 118.812 & 10.5362 & -4.44867 \tabularnewline
100 & 136.8 & 115.854 & 117 & -1.1456 & 20.9456 \tabularnewline
101 & 107.5 & 108.466 & 114.517 & -6.0508 & -0.965862 \tabularnewline
102 & 114.3 & 116.24 & 112.662 & 3.57732 & -1.93982 \tabularnewline
103 & 110.3 & 106.626 & 110.833 & -4.20765 & 3.67432 \tabularnewline
104 & 85.5 & 89.8946 & 108.179 & -18.2846 & -4.39455 \tabularnewline
105 & 116.8 & 117.501 & 105.775 & 11.7259 & -0.700927 \tabularnewline
106 & 115.1 & 114.774 & 102.846 & 11.9281 & 0.326034 \tabularnewline
107 & 95.2 & 101.5 & 99.8125 & 1.6872 & -6.2997 \tabularnewline
108 & 83.4 & 81.2965 & 97.8792 & -16.5827 & 2.10348 \tabularnewline
109 & 95.4 & 97.5926 & 96.3833 & 1.20926 & -2.19259 \tabularnewline
110 & 96.3 & 100.907 & 95.3 & 5.6073 & -4.6073 \tabularnewline
111 & 100.5 & 104.803 & 94.2667 & 10.5362 & -4.30284 \tabularnewline
112 & 90.9 & 91.9961 & 93.1417 & -1.1456 & -1.09607 \tabularnewline
113 & 80.6 & 86.4575 & 92.5083 & -6.0508 & -5.85753 \tabularnewline
114 & 94.8 & 95.9482 & 92.3708 & 3.57732 & -1.14815 \tabularnewline
115 & 93.9 & 88.0257 & 92.2333 & -4.20765 & 5.87432 \tabularnewline
116 & 75.9 & 74.0112 & 92.2958 & -18.2846 & 1.88878 \tabularnewline
117 & 101.6 & 104.584 & 92.8583 & 11.7259 & -2.98426 \tabularnewline
118 & 103.3 & 105.516 & 93.5875 & 11.9281 & -2.21563 \tabularnewline
119 & 91.8 & 96.0705 & 94.3833 & 1.6872 & -4.27053 \tabularnewline
120 & 83.5 & 78.884 & 95.4667 & -16.5827 & 4.61598 \tabularnewline
121 & 92 & 97.4968 & 96.2875 & 1.20926 & -5.49676 \tabularnewline
122 & 101.2 & 102.307 & 96.7 & 5.6073 & -1.1073 \tabularnewline
123 & 109.1 & 108.02 & 97.4833 & 10.5362 & 1.08049 \tabularnewline
124 & 99.8 & 97.1002 & 98.2458 & -1.1456 & 2.69976 \tabularnewline
125 & 90.8 & 92.895 & 98.9458 & -6.0508 & -2.09503 \tabularnewline
126 & 110.6 & 103.281 & 99.7042 & 3.57732 & 7.31851 \tabularnewline
127 & 97.8 & 95.884 & 100.092 & -4.20765 & 1.91598 \tabularnewline
128 & 81.9 & 81.8779 & 100.162 & -18.2846 & 0.0221124 \tabularnewline
129 & 114.4 & 112.109 & 100.383 & 11.7259 & 2.29074 \tabularnewline
130 & 108.8 & 112.316 & 100.387 & 11.9281 & -3.51563 \tabularnewline
131 & 103.1 & 102.316 & 100.629 & 1.6872 & 0.783632 \tabularnewline
132 & 90.4 & 83.9715 & 100.554 & -16.5827 & 6.42848 \tabularnewline
133 & 94.4 & 100.926 & 99.7167 & 1.20926 & -6.52593 \tabularnewline
134 & 100.5 & 105.066 & 99.4583 & 5.6073 & -4.56563 \tabularnewline
135 & 115.1 & 109.707 & 99.1708 & 10.5362 & 5.39299 \tabularnewline
136 & 93.9 & 97.3211 & 98.4667 & -1.1456 & -3.42107 \tabularnewline
137 & 102.5 & 91.67 & 97.7208 & -6.0508 & 10.83 \tabularnewline
138 & 97.1 & 100.565 & 96.9875 & 3.57732 & -3.46482 \tabularnewline
139 & 91.2 & 92.3132 & 96.5208 & -4.20765 & -1.11318 \tabularnewline
140 & 82.3 & 78.0404 & 96.325 & -18.2846 & 4.25961 \tabularnewline
141 & 107.1 & 107.243 & 95.5167 & 11.7259 & -0.142593 \tabularnewline
142 & 99.2 & 106.224 & 94.2958 & 11.9281 & -7.02397 \tabularnewline
143 & 94.8 & 94.7747 & 93.0875 & 1.6872 & 0.0252987 \tabularnewline
144 & 81.1 & 75.6132 & 92.1958 & -16.5827 & 5.48682 \tabularnewline
145 & 92.5 & 92.9884 & 91.7792 & 1.20926 & -0.488427 \tabularnewline
146 & 97.7 & 96.8698 & 91.2625 & 5.6073 & 0.830201 \tabularnewline
147 & 98.5 & 100.774 & 90.2375 & 10.5362 & -2.27367 \tabularnewline
148 & 81.2 & 88.4586 & 89.6042 & -1.1456 & -7.25857 \tabularnewline
149 & 86.2 & 83.3409 & 89.3917 & -6.0508 & 2.85914 \tabularnewline
150 & 92 & 92.0607 & 88.4833 & 3.57732 & -0.0606541 \tabularnewline
151 & 86.3 & 83.4965 & 87.7042 & -4.20765 & 2.80348 \tabularnewline
152 & 74.8 & 68.9362 & 87.2208 & -18.2846 & 5.86378 \tabularnewline
153 & 90 & 98.3551 & 86.6292 & 11.7259 & -8.35509 \tabularnewline
154 & 101.1 & 98.449 & 86.5208 & 11.9281 & 2.65103 \tabularnewline
155 & 87.8 & 88.358 & 86.6708 & 1.6872 & -0.558035 \tabularnewline
156 & 66.3 & 69.9298 & 86.5125 & -16.5827 & -3.62985 \tabularnewline
157 & 88.6 & 87.8259 & 86.6167 & 1.20926 & 0.774073 \tabularnewline
158 & 90 & 92.1906 & 86.5833 & 5.6073 & -2.19063 \tabularnewline
159 & 92 & 96.9862 & 86.45 & 10.5362 & -4.98617 \tabularnewline
160 & 85.1 & 85.3127 & 86.4583 & -1.1456 & -0.212737 \tabularnewline
161 & 85.9 & 80.1534 & 86.2042 & -6.0508 & 5.74664 \tabularnewline
162 & 88.5 & 89.819 & 86.2417 & 3.57732 & -1.31899 \tabularnewline
163 & 92.3 & 82.4965 & 86.7042 & -4.20765 & 9.80348 \tabularnewline
164 & 68 & 69.0237 & 87.3083 & -18.2846 & -1.02372 \tabularnewline
165 & 93.6 & 99.4884 & 87.7625 & 11.7259 & -5.88843 \tabularnewline
166 & 97.7 & 100.111 & 88.1833 & 11.9281 & -2.41147 \tabularnewline
167 & 85.1 & 90.0289 & 88.3417 & 1.6872 & -4.92887 \tabularnewline
168 & 69.9 & 71.7798 & 88.3625 & -16.5827 & -1.87985 \tabularnewline
169 & 96.1 & 89.8801 & 88.6708 & 1.20926 & 6.21991 \tabularnewline
170 & 97 & 94.5906 & 88.9833 & 5.6073 & 2.40937 \tabularnewline
171 & 95.9 & 100.199 & 89.6625 & 10.5362 & -4.29867 \tabularnewline
172 & 91.3 & 89.2794 & 90.425 & -1.1456 & 2.0206 \tabularnewline
173 & 83.5 & 84.5742 & 90.625 & -6.0508 & -1.0742 \tabularnewline
174 & 91.4 & 94.4398 & 90.8625 & 3.57732 & -3.03982 \tabularnewline
175 & 96.8 & 86.7965 & 91.0042 & -4.20765 & 10.0035 \tabularnewline
176 & 71 & 72.7696 & 91.0542 & -18.2846 & -1.76955 \tabularnewline
177 & 106.9 & 103.126 & 91.4 & 11.7259 & 3.77407 \tabularnewline
178 & 102.7 & 103.711 & 91.7833 & 11.9281 & -1.01147 \tabularnewline
179 & 84.9 & 93.7539 & 92.0667 & 1.6872 & -8.85387 \tabularnewline
180 & 75.8 & 76.1048 & 92.6875 & -16.5827 & -0.304848 \tabularnewline
181 & 93.6 & 94.2884 & 93.0792 & 1.20926 & -0.688427 \tabularnewline
182 & 100.7 & 98.9865 & 93.3792 & 5.6073 & 1.71353 \tabularnewline
183 & 100.5 & 104.153 & 93.6167 & 10.5362 & -3.65284 \tabularnewline
184 & 95.9 & 92.0836 & 93.2292 & -1.1456 & 3.81643 \tabularnewline
185 & 85.7 & 87.1367 & 93.1875 & -6.0508 & -1.4367 \tabularnewline
186 & 104.1 & 96.994 & 93.4167 & 3.57732 & 7.10601 \tabularnewline
187 & 93.5 & 89.1465 & 93.3542 & -4.20765 & 4.35348 \tabularnewline
188 & 81.5 & 74.9362 & 93.2208 & -18.2846 & 6.56378 \tabularnewline
189 & 102.1 & 104.88 & 93.1542 & 11.7259 & -2.78009 \tabularnewline
190 & 98.2 & 104.82 & 92.8917 & 11.9281 & -6.6198 \tabularnewline
191 & 88.4 & 94.4247 & 92.7375 & 1.6872 & -6.0247 \tabularnewline
192 & 77.8 & 75.9673 & 92.55 & -16.5827 & 1.83265 \tabularnewline
193 & 90.1 & 93.1968 & 91.9875 & 1.20926 & -3.09676 \tabularnewline
194 & 101 & 97.074 & 91.4667 & 5.6073 & 3.92603 \tabularnewline
195 & 98.6 & 101.449 & 90.9125 & 10.5362 & -2.84867 \tabularnewline
196 & 91.5 & 88.9127 & 90.0583 & -1.1456 & 2.58726 \tabularnewline
197 & 86.4 & 83.6534 & 89.7042 & -6.0508 & 2.74664 \tabularnewline
198 & 98.9 & 93.2815 & 89.7042 & 3.57732 & 5.61851 \tabularnewline
199 & 85.2 & 85.534 & 89.7417 & -4.20765 & -0.334015 \tabularnewline
200 & 77.3 & 71.3654 & 89.65 & -18.2846 & 5.93461 \tabularnewline
201 & 93 & 101.313 & 89.5875 & 11.7259 & -8.31343 \tabularnewline
202 & 86.8 & 101.282 & 89.3542 & 11.9281 & -14.4823 \tabularnewline
203 & 91.3 & 90.8997 & 89.2125 & 1.6872 & 0.400299 \tabularnewline
204 & 74.9 & 72.8382 & 89.4208 & -16.5827 & 2.06182 \tabularnewline
205 & 93.9 & 90.6093 & 89.4 & 1.20926 & 3.29074 \tabularnewline
206 & 95 & 94.9823 & 89.375 & 5.6073 & 0.0177007 \tabularnewline
207 & 103.1 & NA & NA & 10.5362 & NA \tabularnewline
208 & 81.4 & NA & NA & -1.1456 & NA \tabularnewline
209 & 93.1 & NA & NA & -6.0508 & NA \tabularnewline
210 & 97.2 & NA & NA & 3.57732 & NA \tabularnewline
211 & 86.4 & NA & NA & -4.20765 & NA \tabularnewline
212 & 75.5 & NA & NA & -18.2846 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=309615&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]122.2[/C][C]NA[/C][C]NA[/C][C]1.20926[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]136.1[/C][C]NA[/C][C]NA[/C][C]5.6073[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]145.5[/C][C]NA[/C][C]NA[/C][C]10.5362[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]116.7[/C][C]NA[/C][C]NA[/C][C]-1.1456[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]137.1[/C][C]NA[/C][C]NA[/C][C]-6.0508[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]125.5[/C][C]NA[/C][C]NA[/C][C]3.57732[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]112.4[/C][C]126.438[/C][C]130.646[/C][C]-4.20765[/C][C]-14.0382[/C][/ROW]
[ROW][C]8[/C][C]106.3[/C][C]113.12[/C][C]131.404[/C][C]-18.2846[/C][C]-6.81955[/C][/ROW]
[ROW][C]9[/C][C]145.7[/C][C]143.409[/C][C]131.683[/C][C]11.7259[/C][C]2.29074[/C][/ROW]
[ROW][C]10[/C][C]151.5[/C][C]144.124[/C][C]132.196[/C][C]11.9281[/C][C]7.37603[/C][/ROW]
[ROW][C]11[/C][C]144.6[/C][C]134.075[/C][C]132.388[/C][C]1.6872[/C][C]10.5253[/C][/ROW]
[ROW][C]12[/C][C]116.4[/C][C]116.022[/C][C]132.604[/C][C]-16.5827[/C][C]0.378485[/C][/ROW]
[ROW][C]13[/C][C]137.7[/C][C]134.701[/C][C]133.492[/C][C]1.20926[/C][C]2.99907[/C][/ROW]
[ROW][C]14[/C][C]138.8[/C][C]139.795[/C][C]134.188[/C][C]5.6073[/C][C]-0.994799[/C][/ROW]
[ROW][C]15[/C][C]149.5[/C][C]144.765[/C][C]134.229[/C][C]10.5362[/C][C]4.73466[/C][/ROW]
[ROW][C]16[/C][C]125[/C][C]132.867[/C][C]134.012[/C][C]-1.1456[/C][C]-7.8669[/C][/ROW]
[ROW][C]17[/C][C]133.4[/C][C]127.466[/C][C]133.517[/C][C]-6.0508[/C][C]5.93414[/C][/ROW]
[ROW][C]18[/C][C]134.4[/C][C]136.131[/C][C]132.554[/C][C]3.57732[/C][C]-1.73149[/C][/ROW]
[ROW][C]19[/C][C]124.8[/C][C]127.751[/C][C]131.958[/C][C]-4.20765[/C][C]-2.95068[/C][/ROW]
[ROW][C]20[/C][C]110.6[/C][C]113.553[/C][C]131.837[/C][C]-18.2846[/C][C]-2.95289[/C][/ROW]
[ROW][C]21[/C][C]142.4[/C][C]143.126[/C][C]131.4[/C][C]11.7259[/C][C]-0.725927[/C][/ROW]
[ROW][C]22[/C][C]149.6[/C][C]143.228[/C][C]131.3[/C][C]11.9281[/C][C]6.37187[/C][/ROW]
[ROW][C]23[/C][C]134.6[/C][C]132.954[/C][C]131.267[/C][C]1.6872[/C][C]1.64613[/C][/ROW]
[ROW][C]24[/C][C]103.3[/C][C]114.005[/C][C]130.588[/C][C]-16.5827[/C][C]-10.7048[/C][/ROW]
[ROW][C]25[/C][C]136.5[/C][C]131.493[/C][C]130.283[/C][C]1.20926[/C][C]5.00741[/C][/ROW]
[ROW][C]26[/C][C]137.1[/C][C]135.845[/C][C]130.237[/C][C]5.6073[/C][C]1.2552[/C][/ROW]
[ROW][C]27[/C][C]140.7[/C][C]140.74[/C][C]130.204[/C][C]10.5362[/C][C]-0.0403416[/C][/ROW]
[ROW][C]28[/C][C]131.4[/C][C]129.338[/C][C]130.483[/C][C]-1.1456[/C][C]2.06226[/C][/ROW]
[ROW][C]29[/C][C]126.2[/C][C]124.491[/C][C]130.542[/C][C]-6.0508[/C][C]1.70914[/C][/ROW]
[ROW][C]30[/C][C]125.3[/C][C]134.086[/C][C]130.508[/C][C]3.57732[/C][C]-8.78565[/C][/ROW]
[ROW][C]31[/C][C]126.6[/C][C]126.388[/C][C]130.596[/C][C]-4.20765[/C][C]0.211818[/C][/ROW]
[ROW][C]32[/C][C]107.7[/C][C]112.14[/C][C]130.425[/C][C]-18.2846[/C][C]-4.44039[/C][/ROW]
[ROW][C]33[/C][C]144.5[/C][C]141.547[/C][C]129.821[/C][C]11.7259[/C][C]2.95324[/C][/ROW]
[ROW][C]34[/C][C]154.2[/C][C]141.216[/C][C]129.288[/C][C]11.9281[/C][C]12.9844[/C][/ROW]
[ROW][C]35[/C][C]131.4[/C][C]130.341[/C][C]128.654[/C][C]1.6872[/C][C]1.05863[/C][/ROW]
[ROW][C]36[/C][C]105.7[/C][C]111.209[/C][C]127.792[/C][C]-16.5827[/C][C]-5.50902[/C][/ROW]
[ROW][C]37[/C][C]136.2[/C][C]128.255[/C][C]127.046[/C][C]1.20926[/C][C]7.94491[/C][/ROW]
[ROW][C]38[/C][C]133.3[/C][C]131.791[/C][C]126.183[/C][C]5.6073[/C][C]1.50937[/C][/ROW]
[ROW][C]39[/C][C]130[/C][C]136.124[/C][C]125.587[/C][C]10.5362[/C][C]-6.12367[/C][/ROW]
[ROW][C]40[/C][C]129.3[/C][C]123.738[/C][C]124.883[/C][C]-1.1456[/C][C]5.56226[/C][/ROW]
[ROW][C]41[/C][C]113.1[/C][C]117.849[/C][C]123.9[/C][C]-6.0508[/C][C]-4.7492[/C][/ROW]
[ROW][C]42[/C][C]117.7[/C][C]127.056[/C][C]123.479[/C][C]3.57732[/C][C]-9.35649[/C][/ROW]
[ROW][C]43[/C][C]116.3[/C][C]118.68[/C][C]122.887[/C][C]-4.20765[/C][C]-2.37985[/C][/ROW]
[ROW][C]44[/C][C]97.3[/C][C]103.545[/C][C]121.829[/C][C]-18.2846[/C][C]-6.24455[/C][/ROW]
[ROW][C]45[/C][C]140.6[/C][C]133.409[/C][C]121.683[/C][C]11.7259[/C][C]7.19074[/C][/ROW]
[ROW][C]46[/C][C]141.2[/C][C]133.478[/C][C]121.55[/C][C]11.9281[/C][C]7.72187[/C][/ROW]
[ROW][C]47[/C][C]120.8[/C][C]122.558[/C][C]120.871[/C][C]1.6872[/C][C]-1.75803[/C][/ROW]
[ROW][C]48[/C][C]106.2[/C][C]104.447[/C][C]121.029[/C][C]-16.5827[/C][C]1.75348[/C][/ROW]
[ROW][C]49[/C][C]121.5[/C][C]122.455[/C][C]121.246[/C][C]1.20926[/C][C]-0.955093[/C][/ROW]
[ROW][C]50[/C][C]122.6[/C][C]126.778[/C][C]121.171[/C][C]5.6073[/C][C]-4.17813[/C][/ROW]
[ROW][C]51[/C][C]137.2[/C][C]131.724[/C][C]121.188[/C][C]10.5362[/C][C]5.47633[/C][/ROW]
[ROW][C]52[/C][C]118.9[/C][C]119.396[/C][C]120.542[/C][C]-1.1456[/C][C]-0.496071[/C][/ROW]
[ROW][C]53[/C][C]107.2[/C][C]113.958[/C][C]120.008[/C][C]-6.0508[/C][C]-6.75753[/C][/ROW]
[ROW][C]54[/C][C]127.4[/C][C]123.59[/C][C]120.012[/C][C]3.57732[/C][C]3.81018[/C][/ROW]
[ROW][C]55[/C][C]111.8[/C][C]115.417[/C][C]119.625[/C][C]-4.20765[/C][C]-3.61735[/C][/ROW]
[ROW][C]56[/C][C]100[/C][C]100.986[/C][C]119.271[/C][C]-18.2846[/C][C]-0.986221[/C][/ROW]
[ROW][C]57[/C][C]138.3[/C][C]130.676[/C][C]118.95[/C][C]11.7259[/C][C]7.62407[/C][/ROW]
[ROW][C]58[/C][C]128[/C][C]130.395[/C][C]118.467[/C][C]11.9281[/C][C]-2.3948[/C][/ROW]
[ROW][C]59[/C][C]121.2[/C][C]119.95[/C][C]118.262[/C][C]1.6872[/C][C]1.2503[/C][/ROW]
[ROW][C]60[/C][C]105.9[/C][C]101.405[/C][C]117.988[/C][C]-16.5827[/C][C]4.49515[/C][/ROW]
[ROW][C]61[/C][C]112.5[/C][C]118.759[/C][C]117.55[/C][C]1.20926[/C][C]-6.25926[/C][/ROW]
[ROW][C]62[/C][C]123.1[/C][C]122.978[/C][C]117.371[/C][C]5.6073[/C][C]0.121867[/C][/ROW]
[ROW][C]63[/C][C]129[/C][C]127.674[/C][C]117.138[/C][C]10.5362[/C][C]1.32633[/C][/ROW]
[ROW][C]64[/C][C]115.5[/C][C]115.359[/C][C]116.504[/C][C]-1.1456[/C][C]0.141429[/C][/ROW]
[ROW][C]65[/C][C]105.7[/C][C]110.341[/C][C]116.392[/C][C]-6.0508[/C][C]-4.64086[/C][/ROW]
[ROW][C]66[/C][C]122.3[/C][C]120.252[/C][C]116.675[/C][C]3.57732[/C][C]2.04768[/C][/ROW]
[ROW][C]67[/C][C]106.4[/C][C]112.651[/C][C]116.858[/C][C]-4.20765[/C][C]-6.25068[/C][/ROW]
[ROW][C]68[/C][C]101.1[/C][C]98.6987[/C][C]116.983[/C][C]-18.2846[/C][C]2.40128[/C][/ROW]
[ROW][C]69[/C][C]131.6[/C][C]129.034[/C][C]117.308[/C][C]11.7259[/C][C]2.56574[/C][/ROW]
[ROW][C]70[/C][C]119.5[/C][C]129.286[/C][C]117.358[/C][C]11.9281[/C][C]-9.78647[/C][/ROW]
[ROW][C]71[/C][C]127[/C][C]119.15[/C][C]117.462[/C][C]1.6872[/C][C]7.8503[/C][/ROW]
[ROW][C]72[/C][C]106.9[/C][C]101.572[/C][C]118.154[/C][C]-16.5827[/C][C]5.32848[/C][/ROW]
[ROW][C]73[/C][C]115.9[/C][C]119.905[/C][C]118.696[/C][C]1.20926[/C][C]-4.00509[/C][/ROW]
[ROW][C]74[/C][C]122.7[/C][C]124.682[/C][C]119.075[/C][C]5.6073[/C][C]-1.9823[/C][/ROW]
[ROW][C]75[/C][C]137.2[/C][C]130.095[/C][C]119.558[/C][C]10.5362[/C][C]7.10549[/C][/ROW]
[ROW][C]76[/C][C]108.5[/C][C]119.613[/C][C]120.758[/C][C]-1.1456[/C][C]-11.1127[/C][/ROW]
[ROW][C]77[/C][C]115.2[/C][C]115.887[/C][C]121.938[/C][C]-6.0508[/C][C]-0.686696[/C][/ROW]
[ROW][C]78[/C][C]129.4[/C][C]125.769[/C][C]122.192[/C][C]3.57732[/C][C]3.63101[/C][/ROW]
[ROW][C]79[/C][C]112.3[/C][C]118.372[/C][C]122.579[/C][C]-4.20765[/C][C]-6.07152[/C][/ROW]
[ROW][C]80[/C][C]104.3[/C][C]105.29[/C][C]123.575[/C][C]-18.2846[/C][C]-0.990388[/C][/ROW]
[ROW][C]81[/C][C]140[/C][C]136.113[/C][C]124.387[/C][C]11.7259[/C][C]3.88657[/C][/ROW]
[ROW][C]82[/C][C]139.9[/C][C]136.899[/C][C]124.971[/C][C]11.9281[/C][C]3.00103[/C][/ROW]
[ROW][C]83[/C][C]134.9[/C][C]127.058[/C][C]125.371[/C][C]1.6872[/C][C]7.84197[/C][/ROW]
[ROW][C]84[/C][C]105.1[/C][C]108.88[/C][C]125.462[/C][C]-16.5827[/C][C]-3.77985[/C][/ROW]
[ROW][C]85[/C][C]127[/C][C]126.901[/C][C]125.692[/C][C]1.20926[/C][C]0.0990732[/C][/ROW]
[ROW][C]86[/C][C]135.5[/C][C]131.691[/C][C]126.083[/C][C]5.6073[/C][C]3.80937[/C][/ROW]
[ROW][C]87[/C][C]143.9[/C][C]136.432[/C][C]125.896[/C][C]10.5362[/C][C]7.46799[/C][/ROW]
[ROW][C]88[/C][C]115.8[/C][C]124.563[/C][C]125.708[/C][C]-1.1456[/C][C]-8.76274[/C][/ROW]
[ROW][C]89[/C][C]117.5[/C][C]119.453[/C][C]125.504[/C][C]-6.0508[/C][C]-1.95336[/C][/ROW]
[ROW][C]90[/C][C]129.3[/C][C]128.377[/C][C]124.8[/C][C]3.57732[/C][C]0.922679[/C][/ROW]
[ROW][C]91[/C][C]117.9[/C][C]120.201[/C][C]124.408[/C][C]-4.20765[/C][C]-2.30068[/C][/ROW]
[ROW][C]92[/C][C]108.1[/C][C]105.828[/C][C]124.112[/C][C]-18.2846[/C][C]2.27211[/C][/ROW]
[ROW][C]93[/C][C]131.7[/C][C]134.801[/C][C]123.075[/C][C]11.7259[/C][C]-3.10093[/C][/ROW]
[ROW][C]94[/C][C]143.7[/C][C]135.086[/C][C]123.158[/C][C]11.9281[/C][C]8.61353[/C][/ROW]
[ROW][C]95[/C][C]126.2[/C][C]125.304[/C][C]123.617[/C][C]1.6872[/C][C]0.896132[/C][/ROW]
[ROW][C]96[/C][C]96.9[/C][C]105.992[/C][C]122.575[/C][C]-16.5827[/C][C]-9.09235[/C][/ROW]
[ROW][C]97[/C][C]125.8[/C][C]122.843[/C][C]121.633[/C][C]1.20926[/C][C]2.95741[/C][/ROW]
[ROW][C]98[/C][C]129.6[/C][C]125.982[/C][C]120.375[/C][C]5.6073[/C][C]3.6177[/C][/ROW]
[ROW][C]99[/C][C]124.9[/C][C]129.349[/C][C]118.812[/C][C]10.5362[/C][C]-4.44867[/C][/ROW]
[ROW][C]100[/C][C]136.8[/C][C]115.854[/C][C]117[/C][C]-1.1456[/C][C]20.9456[/C][/ROW]
[ROW][C]101[/C][C]107.5[/C][C]108.466[/C][C]114.517[/C][C]-6.0508[/C][C]-0.965862[/C][/ROW]
[ROW][C]102[/C][C]114.3[/C][C]116.24[/C][C]112.662[/C][C]3.57732[/C][C]-1.93982[/C][/ROW]
[ROW][C]103[/C][C]110.3[/C][C]106.626[/C][C]110.833[/C][C]-4.20765[/C][C]3.67432[/C][/ROW]
[ROW][C]104[/C][C]85.5[/C][C]89.8946[/C][C]108.179[/C][C]-18.2846[/C][C]-4.39455[/C][/ROW]
[ROW][C]105[/C][C]116.8[/C][C]117.501[/C][C]105.775[/C][C]11.7259[/C][C]-0.700927[/C][/ROW]
[ROW][C]106[/C][C]115.1[/C][C]114.774[/C][C]102.846[/C][C]11.9281[/C][C]0.326034[/C][/ROW]
[ROW][C]107[/C][C]95.2[/C][C]101.5[/C][C]99.8125[/C][C]1.6872[/C][C]-6.2997[/C][/ROW]
[ROW][C]108[/C][C]83.4[/C][C]81.2965[/C][C]97.8792[/C][C]-16.5827[/C][C]2.10348[/C][/ROW]
[ROW][C]109[/C][C]95.4[/C][C]97.5926[/C][C]96.3833[/C][C]1.20926[/C][C]-2.19259[/C][/ROW]
[ROW][C]110[/C][C]96.3[/C][C]100.907[/C][C]95.3[/C][C]5.6073[/C][C]-4.6073[/C][/ROW]
[ROW][C]111[/C][C]100.5[/C][C]104.803[/C][C]94.2667[/C][C]10.5362[/C][C]-4.30284[/C][/ROW]
[ROW][C]112[/C][C]90.9[/C][C]91.9961[/C][C]93.1417[/C][C]-1.1456[/C][C]-1.09607[/C][/ROW]
[ROW][C]113[/C][C]80.6[/C][C]86.4575[/C][C]92.5083[/C][C]-6.0508[/C][C]-5.85753[/C][/ROW]
[ROW][C]114[/C][C]94.8[/C][C]95.9482[/C][C]92.3708[/C][C]3.57732[/C][C]-1.14815[/C][/ROW]
[ROW][C]115[/C][C]93.9[/C][C]88.0257[/C][C]92.2333[/C][C]-4.20765[/C][C]5.87432[/C][/ROW]
[ROW][C]116[/C][C]75.9[/C][C]74.0112[/C][C]92.2958[/C][C]-18.2846[/C][C]1.88878[/C][/ROW]
[ROW][C]117[/C][C]101.6[/C][C]104.584[/C][C]92.8583[/C][C]11.7259[/C][C]-2.98426[/C][/ROW]
[ROW][C]118[/C][C]103.3[/C][C]105.516[/C][C]93.5875[/C][C]11.9281[/C][C]-2.21563[/C][/ROW]
[ROW][C]119[/C][C]91.8[/C][C]96.0705[/C][C]94.3833[/C][C]1.6872[/C][C]-4.27053[/C][/ROW]
[ROW][C]120[/C][C]83.5[/C][C]78.884[/C][C]95.4667[/C][C]-16.5827[/C][C]4.61598[/C][/ROW]
[ROW][C]121[/C][C]92[/C][C]97.4968[/C][C]96.2875[/C][C]1.20926[/C][C]-5.49676[/C][/ROW]
[ROW][C]122[/C][C]101.2[/C][C]102.307[/C][C]96.7[/C][C]5.6073[/C][C]-1.1073[/C][/ROW]
[ROW][C]123[/C][C]109.1[/C][C]108.02[/C][C]97.4833[/C][C]10.5362[/C][C]1.08049[/C][/ROW]
[ROW][C]124[/C][C]99.8[/C][C]97.1002[/C][C]98.2458[/C][C]-1.1456[/C][C]2.69976[/C][/ROW]
[ROW][C]125[/C][C]90.8[/C][C]92.895[/C][C]98.9458[/C][C]-6.0508[/C][C]-2.09503[/C][/ROW]
[ROW][C]126[/C][C]110.6[/C][C]103.281[/C][C]99.7042[/C][C]3.57732[/C][C]7.31851[/C][/ROW]
[ROW][C]127[/C][C]97.8[/C][C]95.884[/C][C]100.092[/C][C]-4.20765[/C][C]1.91598[/C][/ROW]
[ROW][C]128[/C][C]81.9[/C][C]81.8779[/C][C]100.162[/C][C]-18.2846[/C][C]0.0221124[/C][/ROW]
[ROW][C]129[/C][C]114.4[/C][C]112.109[/C][C]100.383[/C][C]11.7259[/C][C]2.29074[/C][/ROW]
[ROW][C]130[/C][C]108.8[/C][C]112.316[/C][C]100.387[/C][C]11.9281[/C][C]-3.51563[/C][/ROW]
[ROW][C]131[/C][C]103.1[/C][C]102.316[/C][C]100.629[/C][C]1.6872[/C][C]0.783632[/C][/ROW]
[ROW][C]132[/C][C]90.4[/C][C]83.9715[/C][C]100.554[/C][C]-16.5827[/C][C]6.42848[/C][/ROW]
[ROW][C]133[/C][C]94.4[/C][C]100.926[/C][C]99.7167[/C][C]1.20926[/C][C]-6.52593[/C][/ROW]
[ROW][C]134[/C][C]100.5[/C][C]105.066[/C][C]99.4583[/C][C]5.6073[/C][C]-4.56563[/C][/ROW]
[ROW][C]135[/C][C]115.1[/C][C]109.707[/C][C]99.1708[/C][C]10.5362[/C][C]5.39299[/C][/ROW]
[ROW][C]136[/C][C]93.9[/C][C]97.3211[/C][C]98.4667[/C][C]-1.1456[/C][C]-3.42107[/C][/ROW]
[ROW][C]137[/C][C]102.5[/C][C]91.67[/C][C]97.7208[/C][C]-6.0508[/C][C]10.83[/C][/ROW]
[ROW][C]138[/C][C]97.1[/C][C]100.565[/C][C]96.9875[/C][C]3.57732[/C][C]-3.46482[/C][/ROW]
[ROW][C]139[/C][C]91.2[/C][C]92.3132[/C][C]96.5208[/C][C]-4.20765[/C][C]-1.11318[/C][/ROW]
[ROW][C]140[/C][C]82.3[/C][C]78.0404[/C][C]96.325[/C][C]-18.2846[/C][C]4.25961[/C][/ROW]
[ROW][C]141[/C][C]107.1[/C][C]107.243[/C][C]95.5167[/C][C]11.7259[/C][C]-0.142593[/C][/ROW]
[ROW][C]142[/C][C]99.2[/C][C]106.224[/C][C]94.2958[/C][C]11.9281[/C][C]-7.02397[/C][/ROW]
[ROW][C]143[/C][C]94.8[/C][C]94.7747[/C][C]93.0875[/C][C]1.6872[/C][C]0.0252987[/C][/ROW]
[ROW][C]144[/C][C]81.1[/C][C]75.6132[/C][C]92.1958[/C][C]-16.5827[/C][C]5.48682[/C][/ROW]
[ROW][C]145[/C][C]92.5[/C][C]92.9884[/C][C]91.7792[/C][C]1.20926[/C][C]-0.488427[/C][/ROW]
[ROW][C]146[/C][C]97.7[/C][C]96.8698[/C][C]91.2625[/C][C]5.6073[/C][C]0.830201[/C][/ROW]
[ROW][C]147[/C][C]98.5[/C][C]100.774[/C][C]90.2375[/C][C]10.5362[/C][C]-2.27367[/C][/ROW]
[ROW][C]148[/C][C]81.2[/C][C]88.4586[/C][C]89.6042[/C][C]-1.1456[/C][C]-7.25857[/C][/ROW]
[ROW][C]149[/C][C]86.2[/C][C]83.3409[/C][C]89.3917[/C][C]-6.0508[/C][C]2.85914[/C][/ROW]
[ROW][C]150[/C][C]92[/C][C]92.0607[/C][C]88.4833[/C][C]3.57732[/C][C]-0.0606541[/C][/ROW]
[ROW][C]151[/C][C]86.3[/C][C]83.4965[/C][C]87.7042[/C][C]-4.20765[/C][C]2.80348[/C][/ROW]
[ROW][C]152[/C][C]74.8[/C][C]68.9362[/C][C]87.2208[/C][C]-18.2846[/C][C]5.86378[/C][/ROW]
[ROW][C]153[/C][C]90[/C][C]98.3551[/C][C]86.6292[/C][C]11.7259[/C][C]-8.35509[/C][/ROW]
[ROW][C]154[/C][C]101.1[/C][C]98.449[/C][C]86.5208[/C][C]11.9281[/C][C]2.65103[/C][/ROW]
[ROW][C]155[/C][C]87.8[/C][C]88.358[/C][C]86.6708[/C][C]1.6872[/C][C]-0.558035[/C][/ROW]
[ROW][C]156[/C][C]66.3[/C][C]69.9298[/C][C]86.5125[/C][C]-16.5827[/C][C]-3.62985[/C][/ROW]
[ROW][C]157[/C][C]88.6[/C][C]87.8259[/C][C]86.6167[/C][C]1.20926[/C][C]0.774073[/C][/ROW]
[ROW][C]158[/C][C]90[/C][C]92.1906[/C][C]86.5833[/C][C]5.6073[/C][C]-2.19063[/C][/ROW]
[ROW][C]159[/C][C]92[/C][C]96.9862[/C][C]86.45[/C][C]10.5362[/C][C]-4.98617[/C][/ROW]
[ROW][C]160[/C][C]85.1[/C][C]85.3127[/C][C]86.4583[/C][C]-1.1456[/C][C]-0.212737[/C][/ROW]
[ROW][C]161[/C][C]85.9[/C][C]80.1534[/C][C]86.2042[/C][C]-6.0508[/C][C]5.74664[/C][/ROW]
[ROW][C]162[/C][C]88.5[/C][C]89.819[/C][C]86.2417[/C][C]3.57732[/C][C]-1.31899[/C][/ROW]
[ROW][C]163[/C][C]92.3[/C][C]82.4965[/C][C]86.7042[/C][C]-4.20765[/C][C]9.80348[/C][/ROW]
[ROW][C]164[/C][C]68[/C][C]69.0237[/C][C]87.3083[/C][C]-18.2846[/C][C]-1.02372[/C][/ROW]
[ROW][C]165[/C][C]93.6[/C][C]99.4884[/C][C]87.7625[/C][C]11.7259[/C][C]-5.88843[/C][/ROW]
[ROW][C]166[/C][C]97.7[/C][C]100.111[/C][C]88.1833[/C][C]11.9281[/C][C]-2.41147[/C][/ROW]
[ROW][C]167[/C][C]85.1[/C][C]90.0289[/C][C]88.3417[/C][C]1.6872[/C][C]-4.92887[/C][/ROW]
[ROW][C]168[/C][C]69.9[/C][C]71.7798[/C][C]88.3625[/C][C]-16.5827[/C][C]-1.87985[/C][/ROW]
[ROW][C]169[/C][C]96.1[/C][C]89.8801[/C][C]88.6708[/C][C]1.20926[/C][C]6.21991[/C][/ROW]
[ROW][C]170[/C][C]97[/C][C]94.5906[/C][C]88.9833[/C][C]5.6073[/C][C]2.40937[/C][/ROW]
[ROW][C]171[/C][C]95.9[/C][C]100.199[/C][C]89.6625[/C][C]10.5362[/C][C]-4.29867[/C][/ROW]
[ROW][C]172[/C][C]91.3[/C][C]89.2794[/C][C]90.425[/C][C]-1.1456[/C][C]2.0206[/C][/ROW]
[ROW][C]173[/C][C]83.5[/C][C]84.5742[/C][C]90.625[/C][C]-6.0508[/C][C]-1.0742[/C][/ROW]
[ROW][C]174[/C][C]91.4[/C][C]94.4398[/C][C]90.8625[/C][C]3.57732[/C][C]-3.03982[/C][/ROW]
[ROW][C]175[/C][C]96.8[/C][C]86.7965[/C][C]91.0042[/C][C]-4.20765[/C][C]10.0035[/C][/ROW]
[ROW][C]176[/C][C]71[/C][C]72.7696[/C][C]91.0542[/C][C]-18.2846[/C][C]-1.76955[/C][/ROW]
[ROW][C]177[/C][C]106.9[/C][C]103.126[/C][C]91.4[/C][C]11.7259[/C][C]3.77407[/C][/ROW]
[ROW][C]178[/C][C]102.7[/C][C]103.711[/C][C]91.7833[/C][C]11.9281[/C][C]-1.01147[/C][/ROW]
[ROW][C]179[/C][C]84.9[/C][C]93.7539[/C][C]92.0667[/C][C]1.6872[/C][C]-8.85387[/C][/ROW]
[ROW][C]180[/C][C]75.8[/C][C]76.1048[/C][C]92.6875[/C][C]-16.5827[/C][C]-0.304848[/C][/ROW]
[ROW][C]181[/C][C]93.6[/C][C]94.2884[/C][C]93.0792[/C][C]1.20926[/C][C]-0.688427[/C][/ROW]
[ROW][C]182[/C][C]100.7[/C][C]98.9865[/C][C]93.3792[/C][C]5.6073[/C][C]1.71353[/C][/ROW]
[ROW][C]183[/C][C]100.5[/C][C]104.153[/C][C]93.6167[/C][C]10.5362[/C][C]-3.65284[/C][/ROW]
[ROW][C]184[/C][C]95.9[/C][C]92.0836[/C][C]93.2292[/C][C]-1.1456[/C][C]3.81643[/C][/ROW]
[ROW][C]185[/C][C]85.7[/C][C]87.1367[/C][C]93.1875[/C][C]-6.0508[/C][C]-1.4367[/C][/ROW]
[ROW][C]186[/C][C]104.1[/C][C]96.994[/C][C]93.4167[/C][C]3.57732[/C][C]7.10601[/C][/ROW]
[ROW][C]187[/C][C]93.5[/C][C]89.1465[/C][C]93.3542[/C][C]-4.20765[/C][C]4.35348[/C][/ROW]
[ROW][C]188[/C][C]81.5[/C][C]74.9362[/C][C]93.2208[/C][C]-18.2846[/C][C]6.56378[/C][/ROW]
[ROW][C]189[/C][C]102.1[/C][C]104.88[/C][C]93.1542[/C][C]11.7259[/C][C]-2.78009[/C][/ROW]
[ROW][C]190[/C][C]98.2[/C][C]104.82[/C][C]92.8917[/C][C]11.9281[/C][C]-6.6198[/C][/ROW]
[ROW][C]191[/C][C]88.4[/C][C]94.4247[/C][C]92.7375[/C][C]1.6872[/C][C]-6.0247[/C][/ROW]
[ROW][C]192[/C][C]77.8[/C][C]75.9673[/C][C]92.55[/C][C]-16.5827[/C][C]1.83265[/C][/ROW]
[ROW][C]193[/C][C]90.1[/C][C]93.1968[/C][C]91.9875[/C][C]1.20926[/C][C]-3.09676[/C][/ROW]
[ROW][C]194[/C][C]101[/C][C]97.074[/C][C]91.4667[/C][C]5.6073[/C][C]3.92603[/C][/ROW]
[ROW][C]195[/C][C]98.6[/C][C]101.449[/C][C]90.9125[/C][C]10.5362[/C][C]-2.84867[/C][/ROW]
[ROW][C]196[/C][C]91.5[/C][C]88.9127[/C][C]90.0583[/C][C]-1.1456[/C][C]2.58726[/C][/ROW]
[ROW][C]197[/C][C]86.4[/C][C]83.6534[/C][C]89.7042[/C][C]-6.0508[/C][C]2.74664[/C][/ROW]
[ROW][C]198[/C][C]98.9[/C][C]93.2815[/C][C]89.7042[/C][C]3.57732[/C][C]5.61851[/C][/ROW]
[ROW][C]199[/C][C]85.2[/C][C]85.534[/C][C]89.7417[/C][C]-4.20765[/C][C]-0.334015[/C][/ROW]
[ROW][C]200[/C][C]77.3[/C][C]71.3654[/C][C]89.65[/C][C]-18.2846[/C][C]5.93461[/C][/ROW]
[ROW][C]201[/C][C]93[/C][C]101.313[/C][C]89.5875[/C][C]11.7259[/C][C]-8.31343[/C][/ROW]
[ROW][C]202[/C][C]86.8[/C][C]101.282[/C][C]89.3542[/C][C]11.9281[/C][C]-14.4823[/C][/ROW]
[ROW][C]203[/C][C]91.3[/C][C]90.8997[/C][C]89.2125[/C][C]1.6872[/C][C]0.400299[/C][/ROW]
[ROW][C]204[/C][C]74.9[/C][C]72.8382[/C][C]89.4208[/C][C]-16.5827[/C][C]2.06182[/C][/ROW]
[ROW][C]205[/C][C]93.9[/C][C]90.6093[/C][C]89.4[/C][C]1.20926[/C][C]3.29074[/C][/ROW]
[ROW][C]206[/C][C]95[/C][C]94.9823[/C][C]89.375[/C][C]5.6073[/C][C]0.0177007[/C][/ROW]
[ROW][C]207[/C][C]103.1[/C][C]NA[/C][C]NA[/C][C]10.5362[/C][C]NA[/C][/ROW]
[ROW][C]208[/C][C]81.4[/C][C]NA[/C][C]NA[/C][C]-1.1456[/C][C]NA[/C][/ROW]
[ROW][C]209[/C][C]93.1[/C][C]NA[/C][C]NA[/C][C]-6.0508[/C][C]NA[/C][/ROW]
[ROW][C]210[/C][C]97.2[/C][C]NA[/C][C]NA[/C][C]3.57732[/C][C]NA[/C][/ROW]
[ROW][C]211[/C][C]86.4[/C][C]NA[/C][C]NA[/C][C]-4.20765[/C][C]NA[/C][/ROW]
[ROW][C]212[/C][C]75.5[/C][C]NA[/C][C]NA[/C][C]-18.2846[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=309615&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309615&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
1122.2NANA1.20926NA
2136.1NANA5.6073NA
3145.5NANA10.5362NA
4116.7NANA-1.1456NA
5137.1NANA-6.0508NA
6125.5NANA3.57732NA
7112.4126.438130.646-4.20765-14.0382
8106.3113.12131.404-18.2846-6.81955
9145.7143.409131.68311.72592.29074
10151.5144.124132.19611.92817.37603
11144.6134.075132.3881.687210.5253
12116.4116.022132.604-16.58270.378485
13137.7134.701133.4921.209262.99907
14138.8139.795134.1885.6073-0.994799
15149.5144.765134.22910.53624.73466
16125132.867134.012-1.1456-7.8669
17133.4127.466133.517-6.05085.93414
18134.4136.131132.5543.57732-1.73149
19124.8127.751131.958-4.20765-2.95068
20110.6113.553131.837-18.2846-2.95289
21142.4143.126131.411.7259-0.725927
22149.6143.228131.311.92816.37187
23134.6132.954131.2671.68721.64613
24103.3114.005130.588-16.5827-10.7048
25136.5131.493130.2831.209265.00741
26137.1135.845130.2375.60731.2552
27140.7140.74130.20410.5362-0.0403416
28131.4129.338130.483-1.14562.06226
29126.2124.491130.542-6.05081.70914
30125.3134.086130.5083.57732-8.78565
31126.6126.388130.596-4.207650.211818
32107.7112.14130.425-18.2846-4.44039
33144.5141.547129.82111.72592.95324
34154.2141.216129.28811.928112.9844
35131.4130.341128.6541.68721.05863
36105.7111.209127.792-16.5827-5.50902
37136.2128.255127.0461.209267.94491
38133.3131.791126.1835.60731.50937
39130136.124125.58710.5362-6.12367
40129.3123.738124.883-1.14565.56226
41113.1117.849123.9-6.0508-4.7492
42117.7127.056123.4793.57732-9.35649
43116.3118.68122.887-4.20765-2.37985
4497.3103.545121.829-18.2846-6.24455
45140.6133.409121.68311.72597.19074
46141.2133.478121.5511.92817.72187
47120.8122.558120.8711.6872-1.75803
48106.2104.447121.029-16.58271.75348
49121.5122.455121.2461.20926-0.955093
50122.6126.778121.1715.6073-4.17813
51137.2131.724121.18810.53625.47633
52118.9119.396120.542-1.1456-0.496071
53107.2113.958120.008-6.0508-6.75753
54127.4123.59120.0123.577323.81018
55111.8115.417119.625-4.20765-3.61735
56100100.986119.271-18.2846-0.986221
57138.3130.676118.9511.72597.62407
58128130.395118.46711.9281-2.3948
59121.2119.95118.2621.68721.2503
60105.9101.405117.988-16.58274.49515
61112.5118.759117.551.20926-6.25926
62123.1122.978117.3715.60730.121867
63129127.674117.13810.53621.32633
64115.5115.359116.504-1.14560.141429
65105.7110.341116.392-6.0508-4.64086
66122.3120.252116.6753.577322.04768
67106.4112.651116.858-4.20765-6.25068
68101.198.6987116.983-18.28462.40128
69131.6129.034117.30811.72592.56574
70119.5129.286117.35811.9281-9.78647
71127119.15117.4621.68727.8503
72106.9101.572118.154-16.58275.32848
73115.9119.905118.6961.20926-4.00509
74122.7124.682119.0755.6073-1.9823
75137.2130.095119.55810.53627.10549
76108.5119.613120.758-1.1456-11.1127
77115.2115.887121.938-6.0508-0.686696
78129.4125.769122.1923.577323.63101
79112.3118.372122.579-4.20765-6.07152
80104.3105.29123.575-18.2846-0.990388
81140136.113124.38711.72593.88657
82139.9136.899124.97111.92813.00103
83134.9127.058125.3711.68727.84197
84105.1108.88125.462-16.5827-3.77985
85127126.901125.6921.209260.0990732
86135.5131.691126.0835.60733.80937
87143.9136.432125.89610.53627.46799
88115.8124.563125.708-1.1456-8.76274
89117.5119.453125.504-6.0508-1.95336
90129.3128.377124.83.577320.922679
91117.9120.201124.408-4.20765-2.30068
92108.1105.828124.112-18.28462.27211
93131.7134.801123.07511.7259-3.10093
94143.7135.086123.15811.92818.61353
95126.2125.304123.6171.68720.896132
9696.9105.992122.575-16.5827-9.09235
97125.8122.843121.6331.209262.95741
98129.6125.982120.3755.60733.6177
99124.9129.349118.81210.5362-4.44867
100136.8115.854117-1.145620.9456
101107.5108.466114.517-6.0508-0.965862
102114.3116.24112.6623.57732-1.93982
103110.3106.626110.833-4.207653.67432
10485.589.8946108.179-18.2846-4.39455
105116.8117.501105.77511.7259-0.700927
106115.1114.774102.84611.92810.326034
10795.2101.599.81251.6872-6.2997
10883.481.296597.8792-16.58272.10348
10995.497.592696.38331.20926-2.19259
11096.3100.90795.35.6073-4.6073
111100.5104.80394.266710.5362-4.30284
11290.991.996193.1417-1.1456-1.09607
11380.686.457592.5083-6.0508-5.85753
11494.895.948292.37083.57732-1.14815
11593.988.025792.2333-4.207655.87432
11675.974.011292.2958-18.28461.88878
117101.6104.58492.858311.7259-2.98426
118103.3105.51693.587511.9281-2.21563
11991.896.070594.38331.6872-4.27053
12083.578.88495.4667-16.58274.61598
1219297.496896.28751.20926-5.49676
122101.2102.30796.75.6073-1.1073
123109.1108.0297.483310.53621.08049
12499.897.100298.2458-1.14562.69976
12590.892.89598.9458-6.0508-2.09503
126110.6103.28199.70423.577327.31851
12797.895.884100.092-4.207651.91598
12881.981.8779100.162-18.28460.0221124
129114.4112.109100.38311.72592.29074
130108.8112.316100.38711.9281-3.51563
131103.1102.316100.6291.68720.783632
13290.483.9715100.554-16.58276.42848
13394.4100.92699.71671.20926-6.52593
134100.5105.06699.45835.6073-4.56563
135115.1109.70799.170810.53625.39299
13693.997.321198.4667-1.1456-3.42107
137102.591.6797.7208-6.050810.83
13897.1100.56596.98753.57732-3.46482
13991.292.313296.5208-4.20765-1.11318
14082.378.040496.325-18.28464.25961
141107.1107.24395.516711.7259-0.142593
14299.2106.22494.295811.9281-7.02397
14394.894.774793.08751.68720.0252987
14481.175.613292.1958-16.58275.48682
14592.592.988491.77921.20926-0.488427
14697.796.869891.26255.60730.830201
14798.5100.77490.237510.5362-2.27367
14881.288.458689.6042-1.1456-7.25857
14986.283.340989.3917-6.05082.85914
1509292.060788.48333.57732-0.0606541
15186.383.496587.7042-4.207652.80348
15274.868.936287.2208-18.28465.86378
1539098.355186.629211.7259-8.35509
154101.198.44986.520811.92812.65103
15587.888.35886.67081.6872-0.558035
15666.369.929886.5125-16.5827-3.62985
15788.687.825986.61671.209260.774073
1589092.190686.58335.6073-2.19063
1599296.986286.4510.5362-4.98617
16085.185.312786.4583-1.1456-0.212737
16185.980.153486.2042-6.05085.74664
16288.589.81986.24173.57732-1.31899
16392.382.496586.7042-4.207659.80348
1646869.023787.3083-18.2846-1.02372
16593.699.488487.762511.7259-5.88843
16697.7100.11188.183311.9281-2.41147
16785.190.028988.34171.6872-4.92887
16869.971.779888.3625-16.5827-1.87985
16996.189.880188.67081.209266.21991
1709794.590688.98335.60732.40937
17195.9100.19989.662510.5362-4.29867
17291.389.279490.425-1.14562.0206
17383.584.574290.625-6.0508-1.0742
17491.494.439890.86253.57732-3.03982
17596.886.796591.0042-4.2076510.0035
1767172.769691.0542-18.2846-1.76955
177106.9103.12691.411.72593.77407
178102.7103.71191.783311.9281-1.01147
17984.993.753992.06671.6872-8.85387
18075.876.104892.6875-16.5827-0.304848
18193.694.288493.07921.20926-0.688427
182100.798.986593.37925.60731.71353
183100.5104.15393.616710.5362-3.65284
18495.992.083693.2292-1.14563.81643
18585.787.136793.1875-6.0508-1.4367
186104.196.99493.41673.577327.10601
18793.589.146593.3542-4.207654.35348
18881.574.936293.2208-18.28466.56378
189102.1104.8893.154211.7259-2.78009
19098.2104.8292.891711.9281-6.6198
19188.494.424792.73751.6872-6.0247
19277.875.967392.55-16.58271.83265
19390.193.196891.98751.20926-3.09676
19410197.07491.46675.60733.92603
19598.6101.44990.912510.5362-2.84867
19691.588.912790.0583-1.14562.58726
19786.483.653489.7042-6.05082.74664
19898.993.281589.70423.577325.61851
19985.285.53489.7417-4.20765-0.334015
20077.371.365489.65-18.28465.93461
20193101.31389.587511.7259-8.31343
20286.8101.28289.354211.9281-14.4823
20391.390.899789.21251.68720.400299
20474.972.838289.4208-16.58272.06182
20593.990.609389.41.209263.29074
2069594.982389.3755.60730.0177007
207103.1NANA10.5362NA
20881.4NANA-1.1456NA
20993.1NANA-6.0508NA
21097.2NANA3.57732NA
21186.4NANA-4.20765NA
21275.5NANA-18.2846NA



Parameters (Session):
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')