Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_decompose.wasp
Title produced by softwareClassical Decomposition
Date of computationThu, 14 Dec 2017 16:42:40 +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/14/t15132664081mfd5m6drzveioc.htm/, Retrieved Tue, 14 May 2024 19:40:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=309541, Retrieved Tue, 14 May 2024 19:40:10 +0000
QR Codes:

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] [] [2017-12-14 15:42:40] [c34712453b62a314277c4dd71143a000] [Current]
Feedback Forum

Post a new message
Dataseries X:
120,7
134,1
143,6
115,1
135,1
123,6
110,7
104,3
143,7
149,7
143,3
115,3
136,2
137,4
147,6
123,7
131,6
132,7
123
108,2
140,9
149,2
134,5
103,2
136,2
135,6
139,7
131
124,4
123,6
125,1
106,2
144,4
153,7
131,5
105,5
136,3
133,4
129,8
129,1
113
117,1
115,4
96,5
141
141,3
121
106
121,9
122,4
137,4
118,9
106,7
126,5
110,8
99,3
138,7
128,9
121,9
106
113,1
124,2
129,2
116,5
105,7
122
105,1
100,8
131,8
119,9
127,1
107,1
115,8
122,9
137,5
108,9
114,9
129,7
111,8
103,4
140,3
140,7
136,1
106,3
127,7
136,4
145,1
116,5
117,6
129
117,4
107,2
130,9
145,1
127,8
96,6
126
130,1
124,5
137,4
105,6
113,3
108,4
83,5
116,2
115,6
95,6
83,5
95,3
95,8
100,4
90,9
80
93,8
92,3
74,3
101,4
103,7
92,4
83,4
91,6
101,2
109,2
100,3
91
110,9
96,3
80,4
114,5
109,9
104,1
90,7
94,6
100,4
115,9
94,4
102,5
97,3
90
81,1
107,3
100,5
95,4
81,1
92,2
98,4
98,6
81,4
85,5
90,4
83,7
73,3
89,8
101,6
87,5
65,3
87,1
89,9
91,5
84,7
84,1
86,7
89,6
65,7
92,9
97,7
84,4
68,1
95
96,3
94,7
89,7
81,3
89,3
94,2
68,7
105,7
102
84,3
74,9
92,9
100,4
99,4
94,6
84
102,2
91,4
79,8
101
97,5
87,8
77,1
89,6
100,9
97,8
90,5
84,2
96,8
82,9
75,6
91,9
85,4
90,4
74
93,1
94,9
102,9
80,7
91,7
95,5
84,8
74,4




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=309541&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=309541&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309541&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
1120.7NANA1.45321NA
2134.1NANA6.06056NA
3143.6NANA10.7761NA
4115.1NANA-0.784034NA
5135.1NANA-6.50383NA
6123.6NANA3.06649NA
7110.7123.647128.912-5.26518-12.9473
8104.3110.488129.696-19.2073-6.1885
9143.7141.81813011.81791.88209
10149.7143.115130.52512.59026.58478
11143.3133.089130.7372.3514910.211
12115.3114.615130.971-16.35560.684785
13136.2133.316131.8621.453212.88429
14137.4138.598132.5386.06056-1.19806
15147.6143.359132.58310.77614.24054
16123.7131.662132.446-0.784034-7.9618
17131.6125.555132.058-6.503836.04549
18132.7134.254131.1883.06649-1.55399
19123125.418130.683-5.26518-2.41816
20108.2111.401130.608-19.2073-3.201
21140.9142.022130.20411.8179-1.12208
22149.2142.769130.17912.59026.43062
23134.5132.535130.1832.351491.96518
24103.2113.149129.504-16.3556-9.94855
25136.2130.666129.2121.453215.53429
26135.6135.277129.2176.060560.322775
27139.7140.055129.27910.7761-0.355289
28131128.828129.612-0.7840342.17153
29124.4123.171129.675-6.503831.22883
30123.6132.712129.6463.06649-9.11232
31125.1124.481129.746-5.265180.619344
32106.2110.451129.658-19.2073-4.251
33144.4140.972129.15411.81793.42792
34153.7141.253128.66212.590212.4473
35131.5130.46128.1082.351491.04018
36105.5111.007127.362-16.3556-5.50688
37136.3128.141126.6881.453218.15929
38133.4131.94125.8796.060561.46027
39129.8136.109125.33310.7761-6.30946
40129.1123.891124.675-0.7840345.20903
41113117.217123.721-6.50383-4.21701
42117.1126.371123.3043.06649-9.27065
43115.4117.46122.725-5.26518-2.05982
4496.5102.459121.667-19.2073-5.95933
45141133.343121.52511.81797.65709
46141.3134.007121.41712.59027.29312
47121123.081120.7292.35149-2.08066
48106104.503120.858-16.35561.49728
49121.9122.512121.0581.45321-0.611539
50122.4127.044120.9836.06056-4.64389
51137.4131.78121.00410.77615.61971
52118.9119.608120.392-0.784034-0.707633
53106.7113.409119.912-6.50383-6.70867
54126.5123.016119.953.066493.48351
55110.8114.318119.583-5.26518-3.51816
5699.3100.084119.292-19.2073-0.784333
57138.7130.843119.02511.81797.85709
58128.9131.174118.58312.5902-2.27355
59121.9120.793118.4422.351491.10684
60106101.857118.212-16.35564.14312
61113.1119.241117.7881.45321-6.14071
62124.2123.673117.6126.060560.526942
63129.2128.164117.38710.77611.03638
64116.5115.941116.725-0.7840340.559034
65105.7110.063116.567-6.50383-4.36284
66122119.896116.8293.066492.10435
67105.1111.722116.988-5.26518-6.62232
68100.897.8385117.046-19.20732.9615
69131.8129.155117.33711.81792.64459
70119.9129.957117.36712.5902-10.0569
71127.1119.785117.4332.351497.31518
72107.1101.782118.137-16.35565.31812
73115.8120.191118.7371.45321-4.39071
74122.9125.186119.1256.06056-2.28556
75137.5130.364119.58810.77617.13638
76108.9120.024120.808-0.784034-11.1243
77114.9115.546122.05-6.50383-0.646174
78129.7125.458122.3923.066494.24185
79111.8117.589122.854-5.26518-5.78899
80103.4104.705123.912-19.2073-1.30517
81140.3136.61124.79211.81793.69042
82140.7138.015125.42512.59022.68478
83136.1128.206125.8542.351497.89434
84106.3109.582125.937-16.3556-3.28188
85127.7127.595126.1421.453210.105128
86136.4132.594126.5336.060563.80611
87145.1137.076126.310.77618.02388
88116.5125.308126.092-0.784034-8.80763
89117.6119.425125.929-6.50383-1.82534
90129128.246125.1793.066490.754347
91117.4119.439124.704-5.26518-2.03899
92107.2105.163124.371-19.20732.0365
93130.9135.068123.2511.8179-4.16791
94145.1135.853123.26212.59029.24728
95127.8125.985123.6332.351491.81518
9696.6106.124122.479-16.3556-9.52355
97126122.903121.451.453213.09679
98130.1126.148120.0886.060563.95194
99124.5129.264118.48810.7761-4.76362
100137.4115.862116.646-0.78403421.5382
101105.6107.571114.075-6.50383-1.97117
102113.3115.254112.1883.06649-1.95399
103108.4105.097110.362-5.265183.30268
10483.588.4468107.654-19.2073-4.94683
105116.2117.039105.22111.8179-0.838745
106115.6114.869102.27912.59020.730618
10795.6101.62699.2752.35149-6.02649
10883.581.040297.3958-16.35562.45978
10995.397.365795.91251.45321-2.06571
11095.8100.91994.85836.06056-5.11889
111100.4104.63493.858310.7761-4.23446
11290.991.961892.7458-0.784034-1.0618
1138085.612892.1167-6.50383-5.61284
11493.895.045791.97923.06649-1.24565
11592.386.555791.8208-5.265185.74434
11674.372.684391.8917-19.20731.61567
117101.4104.30192.483311.8179-2.90124
118103.7105.83293.241712.5902-2.13188
11992.496.443294.09172.35149-4.04316
12083.478.906995.2625-16.35564.49312
12191.697.594996.14171.45321-5.99487
122101.2102.62396.56256.06056-1.42306
123109.2108.13997.362510.77611.06138
124100.397.382698.1667-0.7840342.91737
1259192.408798.9125-6.50383-1.40867
126110.9102.77199.70423.066498.12935
12796.394.8682100.133-5.265181.43184
12880.481.0177100.225-19.2073-0.617666
129114.5112.289100.47111.81792.21126
130109.9113.094100.50412.5902-3.19438
131104.1103.089100.7382.351491.01101
13290.784.2944100.65-16.35566.40562
13394.6101.27499.82081.45321-6.67404
134100.4105.64899.58756.06056-5.24806
135115.9110.09399.316710.77615.80721
13694.497.84198.625-0.784034-3.44097
137102.591.36797.8708-6.5038311.133
13897.3100.17597.10833.06649-2.87482
1399091.343296.6083-5.26518-1.34316
14081.177.217796.425-19.20733.88233
141107.3107.43995.620811.8179-0.138745
142100.5106.94994.358312.5902-6.44855
14395.495.459893.10832.35149-0.0598231
14481.175.756992.1125-16.35565.34312
14592.293.015791.56251.45321-0.815705
14698.497.035690.9756.060561.36444
14798.6100.69789.920810.7761-2.09696
14881.488.453589.2375-0.784034-7.05347
14985.582.450388.9542-6.503833.04966
15090.491.033287.96673.06649-0.633153
15183.781.830787.0958-5.265181.86934
15273.367.321886.5292-19.20735.97817
15389.897.697185.879211.8179-7.89708
154101.698.31185.720812.59023.28895
15587.588.151585.82.35149-0.65149
15665.369.231985.5875-16.3556-3.93188
15787.187.132485.67921.45321-0.0323721
15889.991.668985.60836.06056-1.76889
15991.596.19785.420810.7761-4.69696
16084.784.603585.3875-0.7840340.0965342
16184.178.59285.0958-6.503835.50799
16286.788.149885.08333.06649-1.44982
16389.680.26485.5292-5.265189.33601
16465.766.917786.125-19.2073-1.21767
16592.998.342986.52511.8179-5.44291
16697.799.456986.866712.5902-1.75688
16784.489.309886.95832.35149-4.90982
16868.170.594486.95-16.3556-2.49438
1699588.703287.251.453216.29679
17096.393.627287.56676.060562.67277
17194.799.001188.22510.7761-4.30112
17289.788.153588.9375-0.7840341.54653
17381.382.608789.1125-6.50383-1.30867
17489.392.458289.39173.06649-3.15815
17594.284.322389.5875-5.265189.87768
17668.770.463589.6708-19.2073-1.7635
177105.7101.85590.037511.81793.84459
178102103.02890.437512.5902-1.02772
17984.393.105790.75422.35149-8.80566
18074.975.048591.4042-16.3556-0.148549
18192.993.278291.8251.45321-0.378205
182100.498.231492.17086.060562.16861
18399.4103.21492.437510.7761-3.81362
18494.691.270192.0542-0.7840343.32987
1858485.508792.0125-6.50383-1.50867
186102.295.316592.253.066496.88351
18791.486.93992.2042-5.265184.46101
18879.872.880292.0875-19.20736.91983
189101103.8692.041711.8179-2.85958
19097.5104.39491.804212.5902-6.89438
19187.893.993291.64172.35149-6.19316
19277.175.069491.425-16.35562.03062
19389.692.29990.84581.45321-2.69904
194100.996.377290.31676.060564.52277
19597.8100.53989.762510.7761-2.73862
19690.588.095188.8792-0.7840342.40487
19784.281.979588.4833-6.503832.22049
19896.891.52988.46253.066495.27101
19982.983.21488.4792-5.26518-0.31399
20075.669.167788.375-19.20736.43233
20191.9100.15588.337511.8179-8.25541
20285.4100.73288.141712.5902-15.3319
20390.490.397388.04582.351490.00267693
2047471.948588.3042-16.35562.05145
20593.189.782488.32921.453213.31763
20694.994.418988.35836.060560.481108
207102.9NANA10.7761NA
20880.7NANA-0.784034NA
20991.7NANA-6.50383NA
21095.5NANA3.06649NA
21184.8NANA-5.26518NA
21274.4NANA-19.2073NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 120.7 & NA & NA & 1.45321 & NA \tabularnewline
2 & 134.1 & NA & NA & 6.06056 & NA \tabularnewline
3 & 143.6 & NA & NA & 10.7761 & NA \tabularnewline
4 & 115.1 & NA & NA & -0.784034 & NA \tabularnewline
5 & 135.1 & NA & NA & -6.50383 & NA \tabularnewline
6 & 123.6 & NA & NA & 3.06649 & NA \tabularnewline
7 & 110.7 & 123.647 & 128.912 & -5.26518 & -12.9473 \tabularnewline
8 & 104.3 & 110.488 & 129.696 & -19.2073 & -6.1885 \tabularnewline
9 & 143.7 & 141.818 & 130 & 11.8179 & 1.88209 \tabularnewline
10 & 149.7 & 143.115 & 130.525 & 12.5902 & 6.58478 \tabularnewline
11 & 143.3 & 133.089 & 130.737 & 2.35149 & 10.211 \tabularnewline
12 & 115.3 & 114.615 & 130.971 & -16.3556 & 0.684785 \tabularnewline
13 & 136.2 & 133.316 & 131.862 & 1.45321 & 2.88429 \tabularnewline
14 & 137.4 & 138.598 & 132.538 & 6.06056 & -1.19806 \tabularnewline
15 & 147.6 & 143.359 & 132.583 & 10.7761 & 4.24054 \tabularnewline
16 & 123.7 & 131.662 & 132.446 & -0.784034 & -7.9618 \tabularnewline
17 & 131.6 & 125.555 & 132.058 & -6.50383 & 6.04549 \tabularnewline
18 & 132.7 & 134.254 & 131.188 & 3.06649 & -1.55399 \tabularnewline
19 & 123 & 125.418 & 130.683 & -5.26518 & -2.41816 \tabularnewline
20 & 108.2 & 111.401 & 130.608 & -19.2073 & -3.201 \tabularnewline
21 & 140.9 & 142.022 & 130.204 & 11.8179 & -1.12208 \tabularnewline
22 & 149.2 & 142.769 & 130.179 & 12.5902 & 6.43062 \tabularnewline
23 & 134.5 & 132.535 & 130.183 & 2.35149 & 1.96518 \tabularnewline
24 & 103.2 & 113.149 & 129.504 & -16.3556 & -9.94855 \tabularnewline
25 & 136.2 & 130.666 & 129.212 & 1.45321 & 5.53429 \tabularnewline
26 & 135.6 & 135.277 & 129.217 & 6.06056 & 0.322775 \tabularnewline
27 & 139.7 & 140.055 & 129.279 & 10.7761 & -0.355289 \tabularnewline
28 & 131 & 128.828 & 129.612 & -0.784034 & 2.17153 \tabularnewline
29 & 124.4 & 123.171 & 129.675 & -6.50383 & 1.22883 \tabularnewline
30 & 123.6 & 132.712 & 129.646 & 3.06649 & -9.11232 \tabularnewline
31 & 125.1 & 124.481 & 129.746 & -5.26518 & 0.619344 \tabularnewline
32 & 106.2 & 110.451 & 129.658 & -19.2073 & -4.251 \tabularnewline
33 & 144.4 & 140.972 & 129.154 & 11.8179 & 3.42792 \tabularnewline
34 & 153.7 & 141.253 & 128.662 & 12.5902 & 12.4473 \tabularnewline
35 & 131.5 & 130.46 & 128.108 & 2.35149 & 1.04018 \tabularnewline
36 & 105.5 & 111.007 & 127.362 & -16.3556 & -5.50688 \tabularnewline
37 & 136.3 & 128.141 & 126.688 & 1.45321 & 8.15929 \tabularnewline
38 & 133.4 & 131.94 & 125.879 & 6.06056 & 1.46027 \tabularnewline
39 & 129.8 & 136.109 & 125.333 & 10.7761 & -6.30946 \tabularnewline
40 & 129.1 & 123.891 & 124.675 & -0.784034 & 5.20903 \tabularnewline
41 & 113 & 117.217 & 123.721 & -6.50383 & -4.21701 \tabularnewline
42 & 117.1 & 126.371 & 123.304 & 3.06649 & -9.27065 \tabularnewline
43 & 115.4 & 117.46 & 122.725 & -5.26518 & -2.05982 \tabularnewline
44 & 96.5 & 102.459 & 121.667 & -19.2073 & -5.95933 \tabularnewline
45 & 141 & 133.343 & 121.525 & 11.8179 & 7.65709 \tabularnewline
46 & 141.3 & 134.007 & 121.417 & 12.5902 & 7.29312 \tabularnewline
47 & 121 & 123.081 & 120.729 & 2.35149 & -2.08066 \tabularnewline
48 & 106 & 104.503 & 120.858 & -16.3556 & 1.49728 \tabularnewline
49 & 121.9 & 122.512 & 121.058 & 1.45321 & -0.611539 \tabularnewline
50 & 122.4 & 127.044 & 120.983 & 6.06056 & -4.64389 \tabularnewline
51 & 137.4 & 131.78 & 121.004 & 10.7761 & 5.61971 \tabularnewline
52 & 118.9 & 119.608 & 120.392 & -0.784034 & -0.707633 \tabularnewline
53 & 106.7 & 113.409 & 119.912 & -6.50383 & -6.70867 \tabularnewline
54 & 126.5 & 123.016 & 119.95 & 3.06649 & 3.48351 \tabularnewline
55 & 110.8 & 114.318 & 119.583 & -5.26518 & -3.51816 \tabularnewline
56 & 99.3 & 100.084 & 119.292 & -19.2073 & -0.784333 \tabularnewline
57 & 138.7 & 130.843 & 119.025 & 11.8179 & 7.85709 \tabularnewline
58 & 128.9 & 131.174 & 118.583 & 12.5902 & -2.27355 \tabularnewline
59 & 121.9 & 120.793 & 118.442 & 2.35149 & 1.10684 \tabularnewline
60 & 106 & 101.857 & 118.212 & -16.3556 & 4.14312 \tabularnewline
61 & 113.1 & 119.241 & 117.788 & 1.45321 & -6.14071 \tabularnewline
62 & 124.2 & 123.673 & 117.612 & 6.06056 & 0.526942 \tabularnewline
63 & 129.2 & 128.164 & 117.387 & 10.7761 & 1.03638 \tabularnewline
64 & 116.5 & 115.941 & 116.725 & -0.784034 & 0.559034 \tabularnewline
65 & 105.7 & 110.063 & 116.567 & -6.50383 & -4.36284 \tabularnewline
66 & 122 & 119.896 & 116.829 & 3.06649 & 2.10435 \tabularnewline
67 & 105.1 & 111.722 & 116.988 & -5.26518 & -6.62232 \tabularnewline
68 & 100.8 & 97.8385 & 117.046 & -19.2073 & 2.9615 \tabularnewline
69 & 131.8 & 129.155 & 117.337 & 11.8179 & 2.64459 \tabularnewline
70 & 119.9 & 129.957 & 117.367 & 12.5902 & -10.0569 \tabularnewline
71 & 127.1 & 119.785 & 117.433 & 2.35149 & 7.31518 \tabularnewline
72 & 107.1 & 101.782 & 118.137 & -16.3556 & 5.31812 \tabularnewline
73 & 115.8 & 120.191 & 118.737 & 1.45321 & -4.39071 \tabularnewline
74 & 122.9 & 125.186 & 119.125 & 6.06056 & -2.28556 \tabularnewline
75 & 137.5 & 130.364 & 119.588 & 10.7761 & 7.13638 \tabularnewline
76 & 108.9 & 120.024 & 120.808 & -0.784034 & -11.1243 \tabularnewline
77 & 114.9 & 115.546 & 122.05 & -6.50383 & -0.646174 \tabularnewline
78 & 129.7 & 125.458 & 122.392 & 3.06649 & 4.24185 \tabularnewline
79 & 111.8 & 117.589 & 122.854 & -5.26518 & -5.78899 \tabularnewline
80 & 103.4 & 104.705 & 123.912 & -19.2073 & -1.30517 \tabularnewline
81 & 140.3 & 136.61 & 124.792 & 11.8179 & 3.69042 \tabularnewline
82 & 140.7 & 138.015 & 125.425 & 12.5902 & 2.68478 \tabularnewline
83 & 136.1 & 128.206 & 125.854 & 2.35149 & 7.89434 \tabularnewline
84 & 106.3 & 109.582 & 125.937 & -16.3556 & -3.28188 \tabularnewline
85 & 127.7 & 127.595 & 126.142 & 1.45321 & 0.105128 \tabularnewline
86 & 136.4 & 132.594 & 126.533 & 6.06056 & 3.80611 \tabularnewline
87 & 145.1 & 137.076 & 126.3 & 10.7761 & 8.02388 \tabularnewline
88 & 116.5 & 125.308 & 126.092 & -0.784034 & -8.80763 \tabularnewline
89 & 117.6 & 119.425 & 125.929 & -6.50383 & -1.82534 \tabularnewline
90 & 129 & 128.246 & 125.179 & 3.06649 & 0.754347 \tabularnewline
91 & 117.4 & 119.439 & 124.704 & -5.26518 & -2.03899 \tabularnewline
92 & 107.2 & 105.163 & 124.371 & -19.2073 & 2.0365 \tabularnewline
93 & 130.9 & 135.068 & 123.25 & 11.8179 & -4.16791 \tabularnewline
94 & 145.1 & 135.853 & 123.262 & 12.5902 & 9.24728 \tabularnewline
95 & 127.8 & 125.985 & 123.633 & 2.35149 & 1.81518 \tabularnewline
96 & 96.6 & 106.124 & 122.479 & -16.3556 & -9.52355 \tabularnewline
97 & 126 & 122.903 & 121.45 & 1.45321 & 3.09679 \tabularnewline
98 & 130.1 & 126.148 & 120.088 & 6.06056 & 3.95194 \tabularnewline
99 & 124.5 & 129.264 & 118.488 & 10.7761 & -4.76362 \tabularnewline
100 & 137.4 & 115.862 & 116.646 & -0.784034 & 21.5382 \tabularnewline
101 & 105.6 & 107.571 & 114.075 & -6.50383 & -1.97117 \tabularnewline
102 & 113.3 & 115.254 & 112.188 & 3.06649 & -1.95399 \tabularnewline
103 & 108.4 & 105.097 & 110.362 & -5.26518 & 3.30268 \tabularnewline
104 & 83.5 & 88.4468 & 107.654 & -19.2073 & -4.94683 \tabularnewline
105 & 116.2 & 117.039 & 105.221 & 11.8179 & -0.838745 \tabularnewline
106 & 115.6 & 114.869 & 102.279 & 12.5902 & 0.730618 \tabularnewline
107 & 95.6 & 101.626 & 99.275 & 2.35149 & -6.02649 \tabularnewline
108 & 83.5 & 81.0402 & 97.3958 & -16.3556 & 2.45978 \tabularnewline
109 & 95.3 & 97.3657 & 95.9125 & 1.45321 & -2.06571 \tabularnewline
110 & 95.8 & 100.919 & 94.8583 & 6.06056 & -5.11889 \tabularnewline
111 & 100.4 & 104.634 & 93.8583 & 10.7761 & -4.23446 \tabularnewline
112 & 90.9 & 91.9618 & 92.7458 & -0.784034 & -1.0618 \tabularnewline
113 & 80 & 85.6128 & 92.1167 & -6.50383 & -5.61284 \tabularnewline
114 & 93.8 & 95.0457 & 91.9792 & 3.06649 & -1.24565 \tabularnewline
115 & 92.3 & 86.5557 & 91.8208 & -5.26518 & 5.74434 \tabularnewline
116 & 74.3 & 72.6843 & 91.8917 & -19.2073 & 1.61567 \tabularnewline
117 & 101.4 & 104.301 & 92.4833 & 11.8179 & -2.90124 \tabularnewline
118 & 103.7 & 105.832 & 93.2417 & 12.5902 & -2.13188 \tabularnewline
119 & 92.4 & 96.4432 & 94.0917 & 2.35149 & -4.04316 \tabularnewline
120 & 83.4 & 78.9069 & 95.2625 & -16.3556 & 4.49312 \tabularnewline
121 & 91.6 & 97.5949 & 96.1417 & 1.45321 & -5.99487 \tabularnewline
122 & 101.2 & 102.623 & 96.5625 & 6.06056 & -1.42306 \tabularnewline
123 & 109.2 & 108.139 & 97.3625 & 10.7761 & 1.06138 \tabularnewline
124 & 100.3 & 97.3826 & 98.1667 & -0.784034 & 2.91737 \tabularnewline
125 & 91 & 92.4087 & 98.9125 & -6.50383 & -1.40867 \tabularnewline
126 & 110.9 & 102.771 & 99.7042 & 3.06649 & 8.12935 \tabularnewline
127 & 96.3 & 94.8682 & 100.133 & -5.26518 & 1.43184 \tabularnewline
128 & 80.4 & 81.0177 & 100.225 & -19.2073 & -0.617666 \tabularnewline
129 & 114.5 & 112.289 & 100.471 & 11.8179 & 2.21126 \tabularnewline
130 & 109.9 & 113.094 & 100.504 & 12.5902 & -3.19438 \tabularnewline
131 & 104.1 & 103.089 & 100.738 & 2.35149 & 1.01101 \tabularnewline
132 & 90.7 & 84.2944 & 100.65 & -16.3556 & 6.40562 \tabularnewline
133 & 94.6 & 101.274 & 99.8208 & 1.45321 & -6.67404 \tabularnewline
134 & 100.4 & 105.648 & 99.5875 & 6.06056 & -5.24806 \tabularnewline
135 & 115.9 & 110.093 & 99.3167 & 10.7761 & 5.80721 \tabularnewline
136 & 94.4 & 97.841 & 98.625 & -0.784034 & -3.44097 \tabularnewline
137 & 102.5 & 91.367 & 97.8708 & -6.50383 & 11.133 \tabularnewline
138 & 97.3 & 100.175 & 97.1083 & 3.06649 & -2.87482 \tabularnewline
139 & 90 & 91.3432 & 96.6083 & -5.26518 & -1.34316 \tabularnewline
140 & 81.1 & 77.2177 & 96.425 & -19.2073 & 3.88233 \tabularnewline
141 & 107.3 & 107.439 & 95.6208 & 11.8179 & -0.138745 \tabularnewline
142 & 100.5 & 106.949 & 94.3583 & 12.5902 & -6.44855 \tabularnewline
143 & 95.4 & 95.4598 & 93.1083 & 2.35149 & -0.0598231 \tabularnewline
144 & 81.1 & 75.7569 & 92.1125 & -16.3556 & 5.34312 \tabularnewline
145 & 92.2 & 93.0157 & 91.5625 & 1.45321 & -0.815705 \tabularnewline
146 & 98.4 & 97.0356 & 90.975 & 6.06056 & 1.36444 \tabularnewline
147 & 98.6 & 100.697 & 89.9208 & 10.7761 & -2.09696 \tabularnewline
148 & 81.4 & 88.4535 & 89.2375 & -0.784034 & -7.05347 \tabularnewline
149 & 85.5 & 82.4503 & 88.9542 & -6.50383 & 3.04966 \tabularnewline
150 & 90.4 & 91.0332 & 87.9667 & 3.06649 & -0.633153 \tabularnewline
151 & 83.7 & 81.8307 & 87.0958 & -5.26518 & 1.86934 \tabularnewline
152 & 73.3 & 67.3218 & 86.5292 & -19.2073 & 5.97817 \tabularnewline
153 & 89.8 & 97.6971 & 85.8792 & 11.8179 & -7.89708 \tabularnewline
154 & 101.6 & 98.311 & 85.7208 & 12.5902 & 3.28895 \tabularnewline
155 & 87.5 & 88.1515 & 85.8 & 2.35149 & -0.65149 \tabularnewline
156 & 65.3 & 69.2319 & 85.5875 & -16.3556 & -3.93188 \tabularnewline
157 & 87.1 & 87.1324 & 85.6792 & 1.45321 & -0.0323721 \tabularnewline
158 & 89.9 & 91.6689 & 85.6083 & 6.06056 & -1.76889 \tabularnewline
159 & 91.5 & 96.197 & 85.4208 & 10.7761 & -4.69696 \tabularnewline
160 & 84.7 & 84.6035 & 85.3875 & -0.784034 & 0.0965342 \tabularnewline
161 & 84.1 & 78.592 & 85.0958 & -6.50383 & 5.50799 \tabularnewline
162 & 86.7 & 88.1498 & 85.0833 & 3.06649 & -1.44982 \tabularnewline
163 & 89.6 & 80.264 & 85.5292 & -5.26518 & 9.33601 \tabularnewline
164 & 65.7 & 66.9177 & 86.125 & -19.2073 & -1.21767 \tabularnewline
165 & 92.9 & 98.3429 & 86.525 & 11.8179 & -5.44291 \tabularnewline
166 & 97.7 & 99.4569 & 86.8667 & 12.5902 & -1.75688 \tabularnewline
167 & 84.4 & 89.3098 & 86.9583 & 2.35149 & -4.90982 \tabularnewline
168 & 68.1 & 70.5944 & 86.95 & -16.3556 & -2.49438 \tabularnewline
169 & 95 & 88.7032 & 87.25 & 1.45321 & 6.29679 \tabularnewline
170 & 96.3 & 93.6272 & 87.5667 & 6.06056 & 2.67277 \tabularnewline
171 & 94.7 & 99.0011 & 88.225 & 10.7761 & -4.30112 \tabularnewline
172 & 89.7 & 88.1535 & 88.9375 & -0.784034 & 1.54653 \tabularnewline
173 & 81.3 & 82.6087 & 89.1125 & -6.50383 & -1.30867 \tabularnewline
174 & 89.3 & 92.4582 & 89.3917 & 3.06649 & -3.15815 \tabularnewline
175 & 94.2 & 84.3223 & 89.5875 & -5.26518 & 9.87768 \tabularnewline
176 & 68.7 & 70.4635 & 89.6708 & -19.2073 & -1.7635 \tabularnewline
177 & 105.7 & 101.855 & 90.0375 & 11.8179 & 3.84459 \tabularnewline
178 & 102 & 103.028 & 90.4375 & 12.5902 & -1.02772 \tabularnewline
179 & 84.3 & 93.1057 & 90.7542 & 2.35149 & -8.80566 \tabularnewline
180 & 74.9 & 75.0485 & 91.4042 & -16.3556 & -0.148549 \tabularnewline
181 & 92.9 & 93.2782 & 91.825 & 1.45321 & -0.378205 \tabularnewline
182 & 100.4 & 98.2314 & 92.1708 & 6.06056 & 2.16861 \tabularnewline
183 & 99.4 & 103.214 & 92.4375 & 10.7761 & -3.81362 \tabularnewline
184 & 94.6 & 91.2701 & 92.0542 & -0.784034 & 3.32987 \tabularnewline
185 & 84 & 85.5087 & 92.0125 & -6.50383 & -1.50867 \tabularnewline
186 & 102.2 & 95.3165 & 92.25 & 3.06649 & 6.88351 \tabularnewline
187 & 91.4 & 86.939 & 92.2042 & -5.26518 & 4.46101 \tabularnewline
188 & 79.8 & 72.8802 & 92.0875 & -19.2073 & 6.91983 \tabularnewline
189 & 101 & 103.86 & 92.0417 & 11.8179 & -2.85958 \tabularnewline
190 & 97.5 & 104.394 & 91.8042 & 12.5902 & -6.89438 \tabularnewline
191 & 87.8 & 93.9932 & 91.6417 & 2.35149 & -6.19316 \tabularnewline
192 & 77.1 & 75.0694 & 91.425 & -16.3556 & 2.03062 \tabularnewline
193 & 89.6 & 92.299 & 90.8458 & 1.45321 & -2.69904 \tabularnewline
194 & 100.9 & 96.3772 & 90.3167 & 6.06056 & 4.52277 \tabularnewline
195 & 97.8 & 100.539 & 89.7625 & 10.7761 & -2.73862 \tabularnewline
196 & 90.5 & 88.0951 & 88.8792 & -0.784034 & 2.40487 \tabularnewline
197 & 84.2 & 81.9795 & 88.4833 & -6.50383 & 2.22049 \tabularnewline
198 & 96.8 & 91.529 & 88.4625 & 3.06649 & 5.27101 \tabularnewline
199 & 82.9 & 83.214 & 88.4792 & -5.26518 & -0.31399 \tabularnewline
200 & 75.6 & 69.1677 & 88.375 & -19.2073 & 6.43233 \tabularnewline
201 & 91.9 & 100.155 & 88.3375 & 11.8179 & -8.25541 \tabularnewline
202 & 85.4 & 100.732 & 88.1417 & 12.5902 & -15.3319 \tabularnewline
203 & 90.4 & 90.3973 & 88.0458 & 2.35149 & 0.00267693 \tabularnewline
204 & 74 & 71.9485 & 88.3042 & -16.3556 & 2.05145 \tabularnewline
205 & 93.1 & 89.7824 & 88.3292 & 1.45321 & 3.31763 \tabularnewline
206 & 94.9 & 94.4189 & 88.3583 & 6.06056 & 0.481108 \tabularnewline
207 & 102.9 & NA & NA & 10.7761 & NA \tabularnewline
208 & 80.7 & NA & NA & -0.784034 & NA \tabularnewline
209 & 91.7 & NA & NA & -6.50383 & NA \tabularnewline
210 & 95.5 & NA & NA & 3.06649 & NA \tabularnewline
211 & 84.8 & NA & NA & -5.26518 & NA \tabularnewline
212 & 74.4 & NA & NA & -19.2073 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=309541&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]120.7[/C][C]NA[/C][C]NA[/C][C]1.45321[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]134.1[/C][C]NA[/C][C]NA[/C][C]6.06056[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]143.6[/C][C]NA[/C][C]NA[/C][C]10.7761[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]115.1[/C][C]NA[/C][C]NA[/C][C]-0.784034[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]135.1[/C][C]NA[/C][C]NA[/C][C]-6.50383[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]123.6[/C][C]NA[/C][C]NA[/C][C]3.06649[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]110.7[/C][C]123.647[/C][C]128.912[/C][C]-5.26518[/C][C]-12.9473[/C][/ROW]
[ROW][C]8[/C][C]104.3[/C][C]110.488[/C][C]129.696[/C][C]-19.2073[/C][C]-6.1885[/C][/ROW]
[ROW][C]9[/C][C]143.7[/C][C]141.818[/C][C]130[/C][C]11.8179[/C][C]1.88209[/C][/ROW]
[ROW][C]10[/C][C]149.7[/C][C]143.115[/C][C]130.525[/C][C]12.5902[/C][C]6.58478[/C][/ROW]
[ROW][C]11[/C][C]143.3[/C][C]133.089[/C][C]130.737[/C][C]2.35149[/C][C]10.211[/C][/ROW]
[ROW][C]12[/C][C]115.3[/C][C]114.615[/C][C]130.971[/C][C]-16.3556[/C][C]0.684785[/C][/ROW]
[ROW][C]13[/C][C]136.2[/C][C]133.316[/C][C]131.862[/C][C]1.45321[/C][C]2.88429[/C][/ROW]
[ROW][C]14[/C][C]137.4[/C][C]138.598[/C][C]132.538[/C][C]6.06056[/C][C]-1.19806[/C][/ROW]
[ROW][C]15[/C][C]147.6[/C][C]143.359[/C][C]132.583[/C][C]10.7761[/C][C]4.24054[/C][/ROW]
[ROW][C]16[/C][C]123.7[/C][C]131.662[/C][C]132.446[/C][C]-0.784034[/C][C]-7.9618[/C][/ROW]
[ROW][C]17[/C][C]131.6[/C][C]125.555[/C][C]132.058[/C][C]-6.50383[/C][C]6.04549[/C][/ROW]
[ROW][C]18[/C][C]132.7[/C][C]134.254[/C][C]131.188[/C][C]3.06649[/C][C]-1.55399[/C][/ROW]
[ROW][C]19[/C][C]123[/C][C]125.418[/C][C]130.683[/C][C]-5.26518[/C][C]-2.41816[/C][/ROW]
[ROW][C]20[/C][C]108.2[/C][C]111.401[/C][C]130.608[/C][C]-19.2073[/C][C]-3.201[/C][/ROW]
[ROW][C]21[/C][C]140.9[/C][C]142.022[/C][C]130.204[/C][C]11.8179[/C][C]-1.12208[/C][/ROW]
[ROW][C]22[/C][C]149.2[/C][C]142.769[/C][C]130.179[/C][C]12.5902[/C][C]6.43062[/C][/ROW]
[ROW][C]23[/C][C]134.5[/C][C]132.535[/C][C]130.183[/C][C]2.35149[/C][C]1.96518[/C][/ROW]
[ROW][C]24[/C][C]103.2[/C][C]113.149[/C][C]129.504[/C][C]-16.3556[/C][C]-9.94855[/C][/ROW]
[ROW][C]25[/C][C]136.2[/C][C]130.666[/C][C]129.212[/C][C]1.45321[/C][C]5.53429[/C][/ROW]
[ROW][C]26[/C][C]135.6[/C][C]135.277[/C][C]129.217[/C][C]6.06056[/C][C]0.322775[/C][/ROW]
[ROW][C]27[/C][C]139.7[/C][C]140.055[/C][C]129.279[/C][C]10.7761[/C][C]-0.355289[/C][/ROW]
[ROW][C]28[/C][C]131[/C][C]128.828[/C][C]129.612[/C][C]-0.784034[/C][C]2.17153[/C][/ROW]
[ROW][C]29[/C][C]124.4[/C][C]123.171[/C][C]129.675[/C][C]-6.50383[/C][C]1.22883[/C][/ROW]
[ROW][C]30[/C][C]123.6[/C][C]132.712[/C][C]129.646[/C][C]3.06649[/C][C]-9.11232[/C][/ROW]
[ROW][C]31[/C][C]125.1[/C][C]124.481[/C][C]129.746[/C][C]-5.26518[/C][C]0.619344[/C][/ROW]
[ROW][C]32[/C][C]106.2[/C][C]110.451[/C][C]129.658[/C][C]-19.2073[/C][C]-4.251[/C][/ROW]
[ROW][C]33[/C][C]144.4[/C][C]140.972[/C][C]129.154[/C][C]11.8179[/C][C]3.42792[/C][/ROW]
[ROW][C]34[/C][C]153.7[/C][C]141.253[/C][C]128.662[/C][C]12.5902[/C][C]12.4473[/C][/ROW]
[ROW][C]35[/C][C]131.5[/C][C]130.46[/C][C]128.108[/C][C]2.35149[/C][C]1.04018[/C][/ROW]
[ROW][C]36[/C][C]105.5[/C][C]111.007[/C][C]127.362[/C][C]-16.3556[/C][C]-5.50688[/C][/ROW]
[ROW][C]37[/C][C]136.3[/C][C]128.141[/C][C]126.688[/C][C]1.45321[/C][C]8.15929[/C][/ROW]
[ROW][C]38[/C][C]133.4[/C][C]131.94[/C][C]125.879[/C][C]6.06056[/C][C]1.46027[/C][/ROW]
[ROW][C]39[/C][C]129.8[/C][C]136.109[/C][C]125.333[/C][C]10.7761[/C][C]-6.30946[/C][/ROW]
[ROW][C]40[/C][C]129.1[/C][C]123.891[/C][C]124.675[/C][C]-0.784034[/C][C]5.20903[/C][/ROW]
[ROW][C]41[/C][C]113[/C][C]117.217[/C][C]123.721[/C][C]-6.50383[/C][C]-4.21701[/C][/ROW]
[ROW][C]42[/C][C]117.1[/C][C]126.371[/C][C]123.304[/C][C]3.06649[/C][C]-9.27065[/C][/ROW]
[ROW][C]43[/C][C]115.4[/C][C]117.46[/C][C]122.725[/C][C]-5.26518[/C][C]-2.05982[/C][/ROW]
[ROW][C]44[/C][C]96.5[/C][C]102.459[/C][C]121.667[/C][C]-19.2073[/C][C]-5.95933[/C][/ROW]
[ROW][C]45[/C][C]141[/C][C]133.343[/C][C]121.525[/C][C]11.8179[/C][C]7.65709[/C][/ROW]
[ROW][C]46[/C][C]141.3[/C][C]134.007[/C][C]121.417[/C][C]12.5902[/C][C]7.29312[/C][/ROW]
[ROW][C]47[/C][C]121[/C][C]123.081[/C][C]120.729[/C][C]2.35149[/C][C]-2.08066[/C][/ROW]
[ROW][C]48[/C][C]106[/C][C]104.503[/C][C]120.858[/C][C]-16.3556[/C][C]1.49728[/C][/ROW]
[ROW][C]49[/C][C]121.9[/C][C]122.512[/C][C]121.058[/C][C]1.45321[/C][C]-0.611539[/C][/ROW]
[ROW][C]50[/C][C]122.4[/C][C]127.044[/C][C]120.983[/C][C]6.06056[/C][C]-4.64389[/C][/ROW]
[ROW][C]51[/C][C]137.4[/C][C]131.78[/C][C]121.004[/C][C]10.7761[/C][C]5.61971[/C][/ROW]
[ROW][C]52[/C][C]118.9[/C][C]119.608[/C][C]120.392[/C][C]-0.784034[/C][C]-0.707633[/C][/ROW]
[ROW][C]53[/C][C]106.7[/C][C]113.409[/C][C]119.912[/C][C]-6.50383[/C][C]-6.70867[/C][/ROW]
[ROW][C]54[/C][C]126.5[/C][C]123.016[/C][C]119.95[/C][C]3.06649[/C][C]3.48351[/C][/ROW]
[ROW][C]55[/C][C]110.8[/C][C]114.318[/C][C]119.583[/C][C]-5.26518[/C][C]-3.51816[/C][/ROW]
[ROW][C]56[/C][C]99.3[/C][C]100.084[/C][C]119.292[/C][C]-19.2073[/C][C]-0.784333[/C][/ROW]
[ROW][C]57[/C][C]138.7[/C][C]130.843[/C][C]119.025[/C][C]11.8179[/C][C]7.85709[/C][/ROW]
[ROW][C]58[/C][C]128.9[/C][C]131.174[/C][C]118.583[/C][C]12.5902[/C][C]-2.27355[/C][/ROW]
[ROW][C]59[/C][C]121.9[/C][C]120.793[/C][C]118.442[/C][C]2.35149[/C][C]1.10684[/C][/ROW]
[ROW][C]60[/C][C]106[/C][C]101.857[/C][C]118.212[/C][C]-16.3556[/C][C]4.14312[/C][/ROW]
[ROW][C]61[/C][C]113.1[/C][C]119.241[/C][C]117.788[/C][C]1.45321[/C][C]-6.14071[/C][/ROW]
[ROW][C]62[/C][C]124.2[/C][C]123.673[/C][C]117.612[/C][C]6.06056[/C][C]0.526942[/C][/ROW]
[ROW][C]63[/C][C]129.2[/C][C]128.164[/C][C]117.387[/C][C]10.7761[/C][C]1.03638[/C][/ROW]
[ROW][C]64[/C][C]116.5[/C][C]115.941[/C][C]116.725[/C][C]-0.784034[/C][C]0.559034[/C][/ROW]
[ROW][C]65[/C][C]105.7[/C][C]110.063[/C][C]116.567[/C][C]-6.50383[/C][C]-4.36284[/C][/ROW]
[ROW][C]66[/C][C]122[/C][C]119.896[/C][C]116.829[/C][C]3.06649[/C][C]2.10435[/C][/ROW]
[ROW][C]67[/C][C]105.1[/C][C]111.722[/C][C]116.988[/C][C]-5.26518[/C][C]-6.62232[/C][/ROW]
[ROW][C]68[/C][C]100.8[/C][C]97.8385[/C][C]117.046[/C][C]-19.2073[/C][C]2.9615[/C][/ROW]
[ROW][C]69[/C][C]131.8[/C][C]129.155[/C][C]117.337[/C][C]11.8179[/C][C]2.64459[/C][/ROW]
[ROW][C]70[/C][C]119.9[/C][C]129.957[/C][C]117.367[/C][C]12.5902[/C][C]-10.0569[/C][/ROW]
[ROW][C]71[/C][C]127.1[/C][C]119.785[/C][C]117.433[/C][C]2.35149[/C][C]7.31518[/C][/ROW]
[ROW][C]72[/C][C]107.1[/C][C]101.782[/C][C]118.137[/C][C]-16.3556[/C][C]5.31812[/C][/ROW]
[ROW][C]73[/C][C]115.8[/C][C]120.191[/C][C]118.737[/C][C]1.45321[/C][C]-4.39071[/C][/ROW]
[ROW][C]74[/C][C]122.9[/C][C]125.186[/C][C]119.125[/C][C]6.06056[/C][C]-2.28556[/C][/ROW]
[ROW][C]75[/C][C]137.5[/C][C]130.364[/C][C]119.588[/C][C]10.7761[/C][C]7.13638[/C][/ROW]
[ROW][C]76[/C][C]108.9[/C][C]120.024[/C][C]120.808[/C][C]-0.784034[/C][C]-11.1243[/C][/ROW]
[ROW][C]77[/C][C]114.9[/C][C]115.546[/C][C]122.05[/C][C]-6.50383[/C][C]-0.646174[/C][/ROW]
[ROW][C]78[/C][C]129.7[/C][C]125.458[/C][C]122.392[/C][C]3.06649[/C][C]4.24185[/C][/ROW]
[ROW][C]79[/C][C]111.8[/C][C]117.589[/C][C]122.854[/C][C]-5.26518[/C][C]-5.78899[/C][/ROW]
[ROW][C]80[/C][C]103.4[/C][C]104.705[/C][C]123.912[/C][C]-19.2073[/C][C]-1.30517[/C][/ROW]
[ROW][C]81[/C][C]140.3[/C][C]136.61[/C][C]124.792[/C][C]11.8179[/C][C]3.69042[/C][/ROW]
[ROW][C]82[/C][C]140.7[/C][C]138.015[/C][C]125.425[/C][C]12.5902[/C][C]2.68478[/C][/ROW]
[ROW][C]83[/C][C]136.1[/C][C]128.206[/C][C]125.854[/C][C]2.35149[/C][C]7.89434[/C][/ROW]
[ROW][C]84[/C][C]106.3[/C][C]109.582[/C][C]125.937[/C][C]-16.3556[/C][C]-3.28188[/C][/ROW]
[ROW][C]85[/C][C]127.7[/C][C]127.595[/C][C]126.142[/C][C]1.45321[/C][C]0.105128[/C][/ROW]
[ROW][C]86[/C][C]136.4[/C][C]132.594[/C][C]126.533[/C][C]6.06056[/C][C]3.80611[/C][/ROW]
[ROW][C]87[/C][C]145.1[/C][C]137.076[/C][C]126.3[/C][C]10.7761[/C][C]8.02388[/C][/ROW]
[ROW][C]88[/C][C]116.5[/C][C]125.308[/C][C]126.092[/C][C]-0.784034[/C][C]-8.80763[/C][/ROW]
[ROW][C]89[/C][C]117.6[/C][C]119.425[/C][C]125.929[/C][C]-6.50383[/C][C]-1.82534[/C][/ROW]
[ROW][C]90[/C][C]129[/C][C]128.246[/C][C]125.179[/C][C]3.06649[/C][C]0.754347[/C][/ROW]
[ROW][C]91[/C][C]117.4[/C][C]119.439[/C][C]124.704[/C][C]-5.26518[/C][C]-2.03899[/C][/ROW]
[ROW][C]92[/C][C]107.2[/C][C]105.163[/C][C]124.371[/C][C]-19.2073[/C][C]2.0365[/C][/ROW]
[ROW][C]93[/C][C]130.9[/C][C]135.068[/C][C]123.25[/C][C]11.8179[/C][C]-4.16791[/C][/ROW]
[ROW][C]94[/C][C]145.1[/C][C]135.853[/C][C]123.262[/C][C]12.5902[/C][C]9.24728[/C][/ROW]
[ROW][C]95[/C][C]127.8[/C][C]125.985[/C][C]123.633[/C][C]2.35149[/C][C]1.81518[/C][/ROW]
[ROW][C]96[/C][C]96.6[/C][C]106.124[/C][C]122.479[/C][C]-16.3556[/C][C]-9.52355[/C][/ROW]
[ROW][C]97[/C][C]126[/C][C]122.903[/C][C]121.45[/C][C]1.45321[/C][C]3.09679[/C][/ROW]
[ROW][C]98[/C][C]130.1[/C][C]126.148[/C][C]120.088[/C][C]6.06056[/C][C]3.95194[/C][/ROW]
[ROW][C]99[/C][C]124.5[/C][C]129.264[/C][C]118.488[/C][C]10.7761[/C][C]-4.76362[/C][/ROW]
[ROW][C]100[/C][C]137.4[/C][C]115.862[/C][C]116.646[/C][C]-0.784034[/C][C]21.5382[/C][/ROW]
[ROW][C]101[/C][C]105.6[/C][C]107.571[/C][C]114.075[/C][C]-6.50383[/C][C]-1.97117[/C][/ROW]
[ROW][C]102[/C][C]113.3[/C][C]115.254[/C][C]112.188[/C][C]3.06649[/C][C]-1.95399[/C][/ROW]
[ROW][C]103[/C][C]108.4[/C][C]105.097[/C][C]110.362[/C][C]-5.26518[/C][C]3.30268[/C][/ROW]
[ROW][C]104[/C][C]83.5[/C][C]88.4468[/C][C]107.654[/C][C]-19.2073[/C][C]-4.94683[/C][/ROW]
[ROW][C]105[/C][C]116.2[/C][C]117.039[/C][C]105.221[/C][C]11.8179[/C][C]-0.838745[/C][/ROW]
[ROW][C]106[/C][C]115.6[/C][C]114.869[/C][C]102.279[/C][C]12.5902[/C][C]0.730618[/C][/ROW]
[ROW][C]107[/C][C]95.6[/C][C]101.626[/C][C]99.275[/C][C]2.35149[/C][C]-6.02649[/C][/ROW]
[ROW][C]108[/C][C]83.5[/C][C]81.0402[/C][C]97.3958[/C][C]-16.3556[/C][C]2.45978[/C][/ROW]
[ROW][C]109[/C][C]95.3[/C][C]97.3657[/C][C]95.9125[/C][C]1.45321[/C][C]-2.06571[/C][/ROW]
[ROW][C]110[/C][C]95.8[/C][C]100.919[/C][C]94.8583[/C][C]6.06056[/C][C]-5.11889[/C][/ROW]
[ROW][C]111[/C][C]100.4[/C][C]104.634[/C][C]93.8583[/C][C]10.7761[/C][C]-4.23446[/C][/ROW]
[ROW][C]112[/C][C]90.9[/C][C]91.9618[/C][C]92.7458[/C][C]-0.784034[/C][C]-1.0618[/C][/ROW]
[ROW][C]113[/C][C]80[/C][C]85.6128[/C][C]92.1167[/C][C]-6.50383[/C][C]-5.61284[/C][/ROW]
[ROW][C]114[/C][C]93.8[/C][C]95.0457[/C][C]91.9792[/C][C]3.06649[/C][C]-1.24565[/C][/ROW]
[ROW][C]115[/C][C]92.3[/C][C]86.5557[/C][C]91.8208[/C][C]-5.26518[/C][C]5.74434[/C][/ROW]
[ROW][C]116[/C][C]74.3[/C][C]72.6843[/C][C]91.8917[/C][C]-19.2073[/C][C]1.61567[/C][/ROW]
[ROW][C]117[/C][C]101.4[/C][C]104.301[/C][C]92.4833[/C][C]11.8179[/C][C]-2.90124[/C][/ROW]
[ROW][C]118[/C][C]103.7[/C][C]105.832[/C][C]93.2417[/C][C]12.5902[/C][C]-2.13188[/C][/ROW]
[ROW][C]119[/C][C]92.4[/C][C]96.4432[/C][C]94.0917[/C][C]2.35149[/C][C]-4.04316[/C][/ROW]
[ROW][C]120[/C][C]83.4[/C][C]78.9069[/C][C]95.2625[/C][C]-16.3556[/C][C]4.49312[/C][/ROW]
[ROW][C]121[/C][C]91.6[/C][C]97.5949[/C][C]96.1417[/C][C]1.45321[/C][C]-5.99487[/C][/ROW]
[ROW][C]122[/C][C]101.2[/C][C]102.623[/C][C]96.5625[/C][C]6.06056[/C][C]-1.42306[/C][/ROW]
[ROW][C]123[/C][C]109.2[/C][C]108.139[/C][C]97.3625[/C][C]10.7761[/C][C]1.06138[/C][/ROW]
[ROW][C]124[/C][C]100.3[/C][C]97.3826[/C][C]98.1667[/C][C]-0.784034[/C][C]2.91737[/C][/ROW]
[ROW][C]125[/C][C]91[/C][C]92.4087[/C][C]98.9125[/C][C]-6.50383[/C][C]-1.40867[/C][/ROW]
[ROW][C]126[/C][C]110.9[/C][C]102.771[/C][C]99.7042[/C][C]3.06649[/C][C]8.12935[/C][/ROW]
[ROW][C]127[/C][C]96.3[/C][C]94.8682[/C][C]100.133[/C][C]-5.26518[/C][C]1.43184[/C][/ROW]
[ROW][C]128[/C][C]80.4[/C][C]81.0177[/C][C]100.225[/C][C]-19.2073[/C][C]-0.617666[/C][/ROW]
[ROW][C]129[/C][C]114.5[/C][C]112.289[/C][C]100.471[/C][C]11.8179[/C][C]2.21126[/C][/ROW]
[ROW][C]130[/C][C]109.9[/C][C]113.094[/C][C]100.504[/C][C]12.5902[/C][C]-3.19438[/C][/ROW]
[ROW][C]131[/C][C]104.1[/C][C]103.089[/C][C]100.738[/C][C]2.35149[/C][C]1.01101[/C][/ROW]
[ROW][C]132[/C][C]90.7[/C][C]84.2944[/C][C]100.65[/C][C]-16.3556[/C][C]6.40562[/C][/ROW]
[ROW][C]133[/C][C]94.6[/C][C]101.274[/C][C]99.8208[/C][C]1.45321[/C][C]-6.67404[/C][/ROW]
[ROW][C]134[/C][C]100.4[/C][C]105.648[/C][C]99.5875[/C][C]6.06056[/C][C]-5.24806[/C][/ROW]
[ROW][C]135[/C][C]115.9[/C][C]110.093[/C][C]99.3167[/C][C]10.7761[/C][C]5.80721[/C][/ROW]
[ROW][C]136[/C][C]94.4[/C][C]97.841[/C][C]98.625[/C][C]-0.784034[/C][C]-3.44097[/C][/ROW]
[ROW][C]137[/C][C]102.5[/C][C]91.367[/C][C]97.8708[/C][C]-6.50383[/C][C]11.133[/C][/ROW]
[ROW][C]138[/C][C]97.3[/C][C]100.175[/C][C]97.1083[/C][C]3.06649[/C][C]-2.87482[/C][/ROW]
[ROW][C]139[/C][C]90[/C][C]91.3432[/C][C]96.6083[/C][C]-5.26518[/C][C]-1.34316[/C][/ROW]
[ROW][C]140[/C][C]81.1[/C][C]77.2177[/C][C]96.425[/C][C]-19.2073[/C][C]3.88233[/C][/ROW]
[ROW][C]141[/C][C]107.3[/C][C]107.439[/C][C]95.6208[/C][C]11.8179[/C][C]-0.138745[/C][/ROW]
[ROW][C]142[/C][C]100.5[/C][C]106.949[/C][C]94.3583[/C][C]12.5902[/C][C]-6.44855[/C][/ROW]
[ROW][C]143[/C][C]95.4[/C][C]95.4598[/C][C]93.1083[/C][C]2.35149[/C][C]-0.0598231[/C][/ROW]
[ROW][C]144[/C][C]81.1[/C][C]75.7569[/C][C]92.1125[/C][C]-16.3556[/C][C]5.34312[/C][/ROW]
[ROW][C]145[/C][C]92.2[/C][C]93.0157[/C][C]91.5625[/C][C]1.45321[/C][C]-0.815705[/C][/ROW]
[ROW][C]146[/C][C]98.4[/C][C]97.0356[/C][C]90.975[/C][C]6.06056[/C][C]1.36444[/C][/ROW]
[ROW][C]147[/C][C]98.6[/C][C]100.697[/C][C]89.9208[/C][C]10.7761[/C][C]-2.09696[/C][/ROW]
[ROW][C]148[/C][C]81.4[/C][C]88.4535[/C][C]89.2375[/C][C]-0.784034[/C][C]-7.05347[/C][/ROW]
[ROW][C]149[/C][C]85.5[/C][C]82.4503[/C][C]88.9542[/C][C]-6.50383[/C][C]3.04966[/C][/ROW]
[ROW][C]150[/C][C]90.4[/C][C]91.0332[/C][C]87.9667[/C][C]3.06649[/C][C]-0.633153[/C][/ROW]
[ROW][C]151[/C][C]83.7[/C][C]81.8307[/C][C]87.0958[/C][C]-5.26518[/C][C]1.86934[/C][/ROW]
[ROW][C]152[/C][C]73.3[/C][C]67.3218[/C][C]86.5292[/C][C]-19.2073[/C][C]5.97817[/C][/ROW]
[ROW][C]153[/C][C]89.8[/C][C]97.6971[/C][C]85.8792[/C][C]11.8179[/C][C]-7.89708[/C][/ROW]
[ROW][C]154[/C][C]101.6[/C][C]98.311[/C][C]85.7208[/C][C]12.5902[/C][C]3.28895[/C][/ROW]
[ROW][C]155[/C][C]87.5[/C][C]88.1515[/C][C]85.8[/C][C]2.35149[/C][C]-0.65149[/C][/ROW]
[ROW][C]156[/C][C]65.3[/C][C]69.2319[/C][C]85.5875[/C][C]-16.3556[/C][C]-3.93188[/C][/ROW]
[ROW][C]157[/C][C]87.1[/C][C]87.1324[/C][C]85.6792[/C][C]1.45321[/C][C]-0.0323721[/C][/ROW]
[ROW][C]158[/C][C]89.9[/C][C]91.6689[/C][C]85.6083[/C][C]6.06056[/C][C]-1.76889[/C][/ROW]
[ROW][C]159[/C][C]91.5[/C][C]96.197[/C][C]85.4208[/C][C]10.7761[/C][C]-4.69696[/C][/ROW]
[ROW][C]160[/C][C]84.7[/C][C]84.6035[/C][C]85.3875[/C][C]-0.784034[/C][C]0.0965342[/C][/ROW]
[ROW][C]161[/C][C]84.1[/C][C]78.592[/C][C]85.0958[/C][C]-6.50383[/C][C]5.50799[/C][/ROW]
[ROW][C]162[/C][C]86.7[/C][C]88.1498[/C][C]85.0833[/C][C]3.06649[/C][C]-1.44982[/C][/ROW]
[ROW][C]163[/C][C]89.6[/C][C]80.264[/C][C]85.5292[/C][C]-5.26518[/C][C]9.33601[/C][/ROW]
[ROW][C]164[/C][C]65.7[/C][C]66.9177[/C][C]86.125[/C][C]-19.2073[/C][C]-1.21767[/C][/ROW]
[ROW][C]165[/C][C]92.9[/C][C]98.3429[/C][C]86.525[/C][C]11.8179[/C][C]-5.44291[/C][/ROW]
[ROW][C]166[/C][C]97.7[/C][C]99.4569[/C][C]86.8667[/C][C]12.5902[/C][C]-1.75688[/C][/ROW]
[ROW][C]167[/C][C]84.4[/C][C]89.3098[/C][C]86.9583[/C][C]2.35149[/C][C]-4.90982[/C][/ROW]
[ROW][C]168[/C][C]68.1[/C][C]70.5944[/C][C]86.95[/C][C]-16.3556[/C][C]-2.49438[/C][/ROW]
[ROW][C]169[/C][C]95[/C][C]88.7032[/C][C]87.25[/C][C]1.45321[/C][C]6.29679[/C][/ROW]
[ROW][C]170[/C][C]96.3[/C][C]93.6272[/C][C]87.5667[/C][C]6.06056[/C][C]2.67277[/C][/ROW]
[ROW][C]171[/C][C]94.7[/C][C]99.0011[/C][C]88.225[/C][C]10.7761[/C][C]-4.30112[/C][/ROW]
[ROW][C]172[/C][C]89.7[/C][C]88.1535[/C][C]88.9375[/C][C]-0.784034[/C][C]1.54653[/C][/ROW]
[ROW][C]173[/C][C]81.3[/C][C]82.6087[/C][C]89.1125[/C][C]-6.50383[/C][C]-1.30867[/C][/ROW]
[ROW][C]174[/C][C]89.3[/C][C]92.4582[/C][C]89.3917[/C][C]3.06649[/C][C]-3.15815[/C][/ROW]
[ROW][C]175[/C][C]94.2[/C][C]84.3223[/C][C]89.5875[/C][C]-5.26518[/C][C]9.87768[/C][/ROW]
[ROW][C]176[/C][C]68.7[/C][C]70.4635[/C][C]89.6708[/C][C]-19.2073[/C][C]-1.7635[/C][/ROW]
[ROW][C]177[/C][C]105.7[/C][C]101.855[/C][C]90.0375[/C][C]11.8179[/C][C]3.84459[/C][/ROW]
[ROW][C]178[/C][C]102[/C][C]103.028[/C][C]90.4375[/C][C]12.5902[/C][C]-1.02772[/C][/ROW]
[ROW][C]179[/C][C]84.3[/C][C]93.1057[/C][C]90.7542[/C][C]2.35149[/C][C]-8.80566[/C][/ROW]
[ROW][C]180[/C][C]74.9[/C][C]75.0485[/C][C]91.4042[/C][C]-16.3556[/C][C]-0.148549[/C][/ROW]
[ROW][C]181[/C][C]92.9[/C][C]93.2782[/C][C]91.825[/C][C]1.45321[/C][C]-0.378205[/C][/ROW]
[ROW][C]182[/C][C]100.4[/C][C]98.2314[/C][C]92.1708[/C][C]6.06056[/C][C]2.16861[/C][/ROW]
[ROW][C]183[/C][C]99.4[/C][C]103.214[/C][C]92.4375[/C][C]10.7761[/C][C]-3.81362[/C][/ROW]
[ROW][C]184[/C][C]94.6[/C][C]91.2701[/C][C]92.0542[/C][C]-0.784034[/C][C]3.32987[/C][/ROW]
[ROW][C]185[/C][C]84[/C][C]85.5087[/C][C]92.0125[/C][C]-6.50383[/C][C]-1.50867[/C][/ROW]
[ROW][C]186[/C][C]102.2[/C][C]95.3165[/C][C]92.25[/C][C]3.06649[/C][C]6.88351[/C][/ROW]
[ROW][C]187[/C][C]91.4[/C][C]86.939[/C][C]92.2042[/C][C]-5.26518[/C][C]4.46101[/C][/ROW]
[ROW][C]188[/C][C]79.8[/C][C]72.8802[/C][C]92.0875[/C][C]-19.2073[/C][C]6.91983[/C][/ROW]
[ROW][C]189[/C][C]101[/C][C]103.86[/C][C]92.0417[/C][C]11.8179[/C][C]-2.85958[/C][/ROW]
[ROW][C]190[/C][C]97.5[/C][C]104.394[/C][C]91.8042[/C][C]12.5902[/C][C]-6.89438[/C][/ROW]
[ROW][C]191[/C][C]87.8[/C][C]93.9932[/C][C]91.6417[/C][C]2.35149[/C][C]-6.19316[/C][/ROW]
[ROW][C]192[/C][C]77.1[/C][C]75.0694[/C][C]91.425[/C][C]-16.3556[/C][C]2.03062[/C][/ROW]
[ROW][C]193[/C][C]89.6[/C][C]92.299[/C][C]90.8458[/C][C]1.45321[/C][C]-2.69904[/C][/ROW]
[ROW][C]194[/C][C]100.9[/C][C]96.3772[/C][C]90.3167[/C][C]6.06056[/C][C]4.52277[/C][/ROW]
[ROW][C]195[/C][C]97.8[/C][C]100.539[/C][C]89.7625[/C][C]10.7761[/C][C]-2.73862[/C][/ROW]
[ROW][C]196[/C][C]90.5[/C][C]88.0951[/C][C]88.8792[/C][C]-0.784034[/C][C]2.40487[/C][/ROW]
[ROW][C]197[/C][C]84.2[/C][C]81.9795[/C][C]88.4833[/C][C]-6.50383[/C][C]2.22049[/C][/ROW]
[ROW][C]198[/C][C]96.8[/C][C]91.529[/C][C]88.4625[/C][C]3.06649[/C][C]5.27101[/C][/ROW]
[ROW][C]199[/C][C]82.9[/C][C]83.214[/C][C]88.4792[/C][C]-5.26518[/C][C]-0.31399[/C][/ROW]
[ROW][C]200[/C][C]75.6[/C][C]69.1677[/C][C]88.375[/C][C]-19.2073[/C][C]6.43233[/C][/ROW]
[ROW][C]201[/C][C]91.9[/C][C]100.155[/C][C]88.3375[/C][C]11.8179[/C][C]-8.25541[/C][/ROW]
[ROW][C]202[/C][C]85.4[/C][C]100.732[/C][C]88.1417[/C][C]12.5902[/C][C]-15.3319[/C][/ROW]
[ROW][C]203[/C][C]90.4[/C][C]90.3973[/C][C]88.0458[/C][C]2.35149[/C][C]0.00267693[/C][/ROW]
[ROW][C]204[/C][C]74[/C][C]71.9485[/C][C]88.3042[/C][C]-16.3556[/C][C]2.05145[/C][/ROW]
[ROW][C]205[/C][C]93.1[/C][C]89.7824[/C][C]88.3292[/C][C]1.45321[/C][C]3.31763[/C][/ROW]
[ROW][C]206[/C][C]94.9[/C][C]94.4189[/C][C]88.3583[/C][C]6.06056[/C][C]0.481108[/C][/ROW]
[ROW][C]207[/C][C]102.9[/C][C]NA[/C][C]NA[/C][C]10.7761[/C][C]NA[/C][/ROW]
[ROW][C]208[/C][C]80.7[/C][C]NA[/C][C]NA[/C][C]-0.784034[/C][C]NA[/C][/ROW]
[ROW][C]209[/C][C]91.7[/C][C]NA[/C][C]NA[/C][C]-6.50383[/C][C]NA[/C][/ROW]
[ROW][C]210[/C][C]95.5[/C][C]NA[/C][C]NA[/C][C]3.06649[/C][C]NA[/C][/ROW]
[ROW][C]211[/C][C]84.8[/C][C]NA[/C][C]NA[/C][C]-5.26518[/C][C]NA[/C][/ROW]
[ROW][C]212[/C][C]74.4[/C][C]NA[/C][C]NA[/C][C]-19.2073[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=309541&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309541&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
1120.7NANA1.45321NA
2134.1NANA6.06056NA
3143.6NANA10.7761NA
4115.1NANA-0.784034NA
5135.1NANA-6.50383NA
6123.6NANA3.06649NA
7110.7123.647128.912-5.26518-12.9473
8104.3110.488129.696-19.2073-6.1885
9143.7141.81813011.81791.88209
10149.7143.115130.52512.59026.58478
11143.3133.089130.7372.3514910.211
12115.3114.615130.971-16.35560.684785
13136.2133.316131.8621.453212.88429
14137.4138.598132.5386.06056-1.19806
15147.6143.359132.58310.77614.24054
16123.7131.662132.446-0.784034-7.9618
17131.6125.555132.058-6.503836.04549
18132.7134.254131.1883.06649-1.55399
19123125.418130.683-5.26518-2.41816
20108.2111.401130.608-19.2073-3.201
21140.9142.022130.20411.8179-1.12208
22149.2142.769130.17912.59026.43062
23134.5132.535130.1832.351491.96518
24103.2113.149129.504-16.3556-9.94855
25136.2130.666129.2121.453215.53429
26135.6135.277129.2176.060560.322775
27139.7140.055129.27910.7761-0.355289
28131128.828129.612-0.7840342.17153
29124.4123.171129.675-6.503831.22883
30123.6132.712129.6463.06649-9.11232
31125.1124.481129.746-5.265180.619344
32106.2110.451129.658-19.2073-4.251
33144.4140.972129.15411.81793.42792
34153.7141.253128.66212.590212.4473
35131.5130.46128.1082.351491.04018
36105.5111.007127.362-16.3556-5.50688
37136.3128.141126.6881.453218.15929
38133.4131.94125.8796.060561.46027
39129.8136.109125.33310.7761-6.30946
40129.1123.891124.675-0.7840345.20903
41113117.217123.721-6.50383-4.21701
42117.1126.371123.3043.06649-9.27065
43115.4117.46122.725-5.26518-2.05982
4496.5102.459121.667-19.2073-5.95933
45141133.343121.52511.81797.65709
46141.3134.007121.41712.59027.29312
47121123.081120.7292.35149-2.08066
48106104.503120.858-16.35561.49728
49121.9122.512121.0581.45321-0.611539
50122.4127.044120.9836.06056-4.64389
51137.4131.78121.00410.77615.61971
52118.9119.608120.392-0.784034-0.707633
53106.7113.409119.912-6.50383-6.70867
54126.5123.016119.953.066493.48351
55110.8114.318119.583-5.26518-3.51816
5699.3100.084119.292-19.2073-0.784333
57138.7130.843119.02511.81797.85709
58128.9131.174118.58312.5902-2.27355
59121.9120.793118.4422.351491.10684
60106101.857118.212-16.35564.14312
61113.1119.241117.7881.45321-6.14071
62124.2123.673117.6126.060560.526942
63129.2128.164117.38710.77611.03638
64116.5115.941116.725-0.7840340.559034
65105.7110.063116.567-6.50383-4.36284
66122119.896116.8293.066492.10435
67105.1111.722116.988-5.26518-6.62232
68100.897.8385117.046-19.20732.9615
69131.8129.155117.33711.81792.64459
70119.9129.957117.36712.5902-10.0569
71127.1119.785117.4332.351497.31518
72107.1101.782118.137-16.35565.31812
73115.8120.191118.7371.45321-4.39071
74122.9125.186119.1256.06056-2.28556
75137.5130.364119.58810.77617.13638
76108.9120.024120.808-0.784034-11.1243
77114.9115.546122.05-6.50383-0.646174
78129.7125.458122.3923.066494.24185
79111.8117.589122.854-5.26518-5.78899
80103.4104.705123.912-19.2073-1.30517
81140.3136.61124.79211.81793.69042
82140.7138.015125.42512.59022.68478
83136.1128.206125.8542.351497.89434
84106.3109.582125.937-16.3556-3.28188
85127.7127.595126.1421.453210.105128
86136.4132.594126.5336.060563.80611
87145.1137.076126.310.77618.02388
88116.5125.308126.092-0.784034-8.80763
89117.6119.425125.929-6.50383-1.82534
90129128.246125.1793.066490.754347
91117.4119.439124.704-5.26518-2.03899
92107.2105.163124.371-19.20732.0365
93130.9135.068123.2511.8179-4.16791
94145.1135.853123.26212.59029.24728
95127.8125.985123.6332.351491.81518
9696.6106.124122.479-16.3556-9.52355
97126122.903121.451.453213.09679
98130.1126.148120.0886.060563.95194
99124.5129.264118.48810.7761-4.76362
100137.4115.862116.646-0.78403421.5382
101105.6107.571114.075-6.50383-1.97117
102113.3115.254112.1883.06649-1.95399
103108.4105.097110.362-5.265183.30268
10483.588.4468107.654-19.2073-4.94683
105116.2117.039105.22111.8179-0.838745
106115.6114.869102.27912.59020.730618
10795.6101.62699.2752.35149-6.02649
10883.581.040297.3958-16.35562.45978
10995.397.365795.91251.45321-2.06571
11095.8100.91994.85836.06056-5.11889
111100.4104.63493.858310.7761-4.23446
11290.991.961892.7458-0.784034-1.0618
1138085.612892.1167-6.50383-5.61284
11493.895.045791.97923.06649-1.24565
11592.386.555791.8208-5.265185.74434
11674.372.684391.8917-19.20731.61567
117101.4104.30192.483311.8179-2.90124
118103.7105.83293.241712.5902-2.13188
11992.496.443294.09172.35149-4.04316
12083.478.906995.2625-16.35564.49312
12191.697.594996.14171.45321-5.99487
122101.2102.62396.56256.06056-1.42306
123109.2108.13997.362510.77611.06138
124100.397.382698.1667-0.7840342.91737
1259192.408798.9125-6.50383-1.40867
126110.9102.77199.70423.066498.12935
12796.394.8682100.133-5.265181.43184
12880.481.0177100.225-19.2073-0.617666
129114.5112.289100.47111.81792.21126
130109.9113.094100.50412.5902-3.19438
131104.1103.089100.7382.351491.01101
13290.784.2944100.65-16.35566.40562
13394.6101.27499.82081.45321-6.67404
134100.4105.64899.58756.06056-5.24806
135115.9110.09399.316710.77615.80721
13694.497.84198.625-0.784034-3.44097
137102.591.36797.8708-6.5038311.133
13897.3100.17597.10833.06649-2.87482
1399091.343296.6083-5.26518-1.34316
14081.177.217796.425-19.20733.88233
141107.3107.43995.620811.8179-0.138745
142100.5106.94994.358312.5902-6.44855
14395.495.459893.10832.35149-0.0598231
14481.175.756992.1125-16.35565.34312
14592.293.015791.56251.45321-0.815705
14698.497.035690.9756.060561.36444
14798.6100.69789.920810.7761-2.09696
14881.488.453589.2375-0.784034-7.05347
14985.582.450388.9542-6.503833.04966
15090.491.033287.96673.06649-0.633153
15183.781.830787.0958-5.265181.86934
15273.367.321886.5292-19.20735.97817
15389.897.697185.879211.8179-7.89708
154101.698.31185.720812.59023.28895
15587.588.151585.82.35149-0.65149
15665.369.231985.5875-16.3556-3.93188
15787.187.132485.67921.45321-0.0323721
15889.991.668985.60836.06056-1.76889
15991.596.19785.420810.7761-4.69696
16084.784.603585.3875-0.7840340.0965342
16184.178.59285.0958-6.503835.50799
16286.788.149885.08333.06649-1.44982
16389.680.26485.5292-5.265189.33601
16465.766.917786.125-19.2073-1.21767
16592.998.342986.52511.8179-5.44291
16697.799.456986.866712.5902-1.75688
16784.489.309886.95832.35149-4.90982
16868.170.594486.95-16.3556-2.49438
1699588.703287.251.453216.29679
17096.393.627287.56676.060562.67277
17194.799.001188.22510.7761-4.30112
17289.788.153588.9375-0.7840341.54653
17381.382.608789.1125-6.50383-1.30867
17489.392.458289.39173.06649-3.15815
17594.284.322389.5875-5.265189.87768
17668.770.463589.6708-19.2073-1.7635
177105.7101.85590.037511.81793.84459
178102103.02890.437512.5902-1.02772
17984.393.105790.75422.35149-8.80566
18074.975.048591.4042-16.3556-0.148549
18192.993.278291.8251.45321-0.378205
182100.498.231492.17086.060562.16861
18399.4103.21492.437510.7761-3.81362
18494.691.270192.0542-0.7840343.32987
1858485.508792.0125-6.50383-1.50867
186102.295.316592.253.066496.88351
18791.486.93992.2042-5.265184.46101
18879.872.880292.0875-19.20736.91983
189101103.8692.041711.8179-2.85958
19097.5104.39491.804212.5902-6.89438
19187.893.993291.64172.35149-6.19316
19277.175.069491.425-16.35562.03062
19389.692.29990.84581.45321-2.69904
194100.996.377290.31676.060564.52277
19597.8100.53989.762510.7761-2.73862
19690.588.095188.8792-0.7840342.40487
19784.281.979588.4833-6.503832.22049
19896.891.52988.46253.066495.27101
19982.983.21488.4792-5.26518-0.31399
20075.669.167788.375-19.20736.43233
20191.9100.15588.337511.8179-8.25541
20285.4100.73288.141712.5902-15.3319
20390.490.397388.04582.351490.00267693
2047471.948588.3042-16.35562.05145
20593.189.782488.32921.453213.31763
20694.994.418988.35836.060560.481108
207102.9NANA10.7761NA
20880.7NANA-0.784034NA
20991.7NANA-6.50383NA
21095.5NANA3.06649NA
21184.8NANA-5.26518NA
21274.4NANA-19.2073NA



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')