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Author's title

Author*Unverified author*
R Software Modulerwasp_decompose.wasp
Title produced by softwareClassical Decomposition
Date of computationMon, 12 May 2014 10:35:21 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/May/12/t13999053412whjiaqi7fj19cy.htm/, Retrieved Sun, 19 May 2024 15:53:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=234835, Retrieved Sun, 19 May 2024 15:53:03 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact147
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Classical Decomposition] [] [2014-05-12 14:35:21] [6d333a1ec28e0cb62f7dec9ea64dd0e6] [Current]
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Dataseries X:
329,6
327,2
326,3
315,4
308,6
302,6
295,6
291,5
288,1
281,1
282,4
284,9
274,2
265,7
259,7
253,7
249,5
244,6
243
239,2
235,7
231,1
226,7
221,7
219,4
214,2
211,7
207,7
204,7
201,2
199,9
197,8
195,2
194,3
192,8
188,5
183,2
181,4
180,5
180,2
179,2
177,1
174,2
172,1
171,1
169,8
169,5
165,5
167,2
167,6
171,8
175,9
180
184,9
184,6
187,6
191,5
195,5
201,6
203,5
209,1
217,1
227,6
237,2
245,6
253,2
260,5
266,1
273
280,8
284,4
288,5
284,8
288,9
299,6
307,8
311,4
322
317,8
319,1
322,3
323,1
322,8
325
323,2
318,8
328,2
329,2
326,5
330,1
323,8
321,8
319,6
315,5
310,7
306,5
295,1
288
293,9
289,3
287,4
282,6
276,9
272,7
267,9
262,8
256,6
250,7
243,2
235,1
229,6
222,9
217,6
214,1
210,8
208
202,6
199
195,5
192,1
189,4
182,4
179,2
176,5
174
171,7
169,8
168,3
166,4
165,9
166,4
170,6
177,6
183,4
191,9
201,7
210,6
221,6
232,2
240,4
248,4
258,5
265
271,7
273,9
277,8
273,4
270,9
268,3
264,7
264,1
264,5
262,2
258,6
259,4
262,7
264,9
260,5
256,4
254,7
254,8
255,3
256,8
258,7
259,8
261,7
264,7
269,1
279
283,4
285,5
288,2
292,1
295,6
302,4
308,5
314,1
319,8
329,7
339,7




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=234835&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=234835&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=234835&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
1329.6NANA-0.588418NA
2327.2NANA-2.08068NA
3326.3NANA-0.44437NA
4315.4NANA-0.144072NA
5308.6NANA0.0142609NA
6302.6NANA0.924678NA
7295.6300.785300.4670.318725-5.18539
8291.5296.038295.5960.442535-4.53837
9288.1290.667290.2580.408606-2.56694
10281.1285.088284.9120.175273-3.98777
11282.4280.242279.8790.3624752.15836
12284.9275.6112750.6109879.28901
13274.2269.803270.392-0.5884184.39675
14265.7263.94266.021-2.080681.75985
15259.7261.214261.658-0.44437-1.51396
16253.7257.248257.392-0.144072-3.54759
17249.5253.002252.9870.0142609-3.50176
18244.6248.958248.0330.924678-4.35801
19243243.435243.1170.318725-0.435392
20239.2239.13238.6870.4425350.0699653
21235.7234.95234.5420.4086060.749727
22231.1230.8230.6250.1752730.299727
23226.7227.204226.8420.362475-0.504142
24221.7223.778223.1670.610987-2.07765
25219.4218.974219.562-0.5884180.425918
26214.2213.961216.042-2.080680.239013
27211.7212.185212.629-0.44437-0.484797
28207.7209.264209.408-0.144072-1.56426
29204.7206.477206.4620.0142609-1.77676
30201.2204.591203.6670.924678-3.39134
31199.9201.094200.7750.318725-1.19373
32197.8198.343197.90.442535-0.542535
33195.2195.642195.2330.408606-0.441939
34194.3192.963192.7870.1752731.33723
35192.8190.942190.5790.3624751.85836
36188.5189.123188.5120.610987-0.623487
37183.2185.849186.437-0.588418-2.64908
38181.4182.215184.296-2.08068-0.815154
39180.5181.776182.221-0.44437-1.27646
40180.2180.052180.196-0.1440720.148239
41179.2178.218178.2040.01426090.981572
42177.1177.2176.2750.924678-0.0996776
43174.2174.969174.650.318725-0.768725
44172.1173.851173.4080.442535-1.75087
45171.1172.879172.4710.408606-1.77944
46169.8172.104171.9290.175273-2.30444
47169.5172.146171.7830.362475-2.64581
48165.5172.753172.1420.610987-7.25265
49167.2172.312172.9-0.588418-5.11158
50167.6171.898173.979-2.08068-4.29849
51171.8175.031175.475-0.44437-3.23063
52175.9177.252177.396-0.144072-1.35176
53180179.818179.8040.01426090.181572
54184.9183.65182.7250.9246781.25032
55184.6186.373186.0540.318725-1.77289
56187.6190.305189.8620.442535-2.70503
57191.5194.659194.250.408606-3.15861
58195.5199.304199.1290.175273-3.80444
59201.6204.779204.4170.362475-3.17914
60203.5210.607209.9960.610987-7.10682
61209.1215.416216.004-0.588418-6.31575
62217.1220.357222.438-2.08068-3.25682
63227.6228.66229.104-0.44437-1.0598
64237.2235.91236.054-0.1440721.28991
65245.6243.073243.0580.01426092.52741
66253.2250.975250.050.9246782.22532
67260.5257.065256.7460.3187253.43544
68266.1263.334262.8920.4425352.7658
69273269.292268.8830.4086063.70806
70280.8275274.8250.1752735.79973
71284.4280.871280.5080.3624753.52919
72288.5286.728286.1170.6109871.77235
73284.8290.782291.371-0.588418-5.98242
74288.9293.886295.967-2.08068-4.98599
75299.6299.785300.229-0.44437-0.184797
76307.8303.902304.046-0.1440723.89824
77311.4307.423307.4080.01426093.97741
78322311.454310.5290.92467810.5462
79317.8313.969313.650.3187253.83127
80319.1316.938316.4960.4425352.16163
81322.3319.342318.9330.4086062.95806
82323.1321.192321.0170.1752731.90806
83322.8322.9322.5380.362475-0.0999752
84325324.115323.5040.6109870.884846
85323.2323.503324.092-0.588418-0.303249
86318.8322.373324.454-2.08068-3.57349
87328.2324.01324.454-0.444374.1902
88329.2323.881324.025-0.1440725.31907
89326.5323.218323.2040.01426093.28157
90330.1322.854321.9290.9246787.24616
91323.8320.306319.9870.3187253.49377
92321.8317.976317.5330.4425353.82413
93319.6315.229314.8210.4086064.37056
94315.5311.904311.7290.1752733.59556
95310.7308.8308.4370.3624751.90002
96306.5305.44304.8290.6109871.05985
97295.1300.307300.896-0.588418-5.20742
98288294.815296.896-2.08068-6.81515
99293.9292.251292.696-0.444371.64854
100289.3288.202288.346-0.1440721.09824
101287.4283.91283.8960.01426093.48991
102282.6280.241279.3170.9246782.35866
103276.9275.148274.8290.3187251.75211
104272.7270.905270.4620.4425351.79497
105267.9265.988265.5790.4086061.91223
106262.8260.309260.1330.1752732.49139
107256.6254.821254.4580.3624751.77919
108250.7249.307248.6960.6109871.39318
109243.2242.499243.087-0.5884180.700918
110235.1235.557237.637-2.08068-0.45682
111229.6231.776232.221-0.44437-2.17646
112222.9226.698226.842-0.144072-3.79759
113217.6221.652221.6370.0142609-4.05176
114214.1217.575216.650.924678-3.47468
115210.8212.285211.9670.318725-1.48539
116208207.972207.5290.4425350.0282986
117202.6203.642203.2330.408606-1.04194
118199199.375199.20.175273-0.375273
119195.5195.812195.450.362475-0.312475
120192.1192.478191.8670.610987-0.377654
121189.4187.803188.392-0.5884181.59675
122182.4182.948185.029-2.08068-0.548487
123179.2181.422181.867-0.44437-2.2223
124176.5178.835178.979-0.144072-2.33509
125174176.402176.3880.0142609-2.40176
126171.7175.204174.2790.924678-3.50384
127169.8173.21172.8920.318725-3.41039
128168.3172.884172.4420.442535-4.5842
129166.4173.421173.0130.408606-7.02111
130165.9174.767174.5920.175273-8.86694
131166.4177.529177.1670.362475-11.1291
132170.6181.382180.7710.610987-10.7818
133177.6184.862185.45-0.588418-7.26158
134183.4188.973191.054-2.08068-5.57349
135191.9197.031197.475-0.44437-5.13063
136201.7204.606204.75-0.144072-2.90593
137210.6212.731212.7170.0142609-2.13093
138221.6221.962221.0380.924678-0.362178
139232.2229.581229.2630.3187252.61877
140240.4237.651237.2080.4425352.74913
141248.4244.946244.5380.4086063.45389
142258.5250.992250.8170.1752737.50806
143265256.467256.1040.3624758.53336
144271.7260.915260.3040.61098710.7848
145273.9262.841263.429-0.58841811.0593
146277.8263.682265.762-2.0806814.1182
147273.4266.897267.342-0.444376.5027
148270.9267.777267.921-0.1440723.12324
149268.3267.706267.6920.01426090.594072
150264.7268.008267.0830.924678-3.30801
151264.1266.652266.3330.318725-2.55206
152264.5265.68265.2370.442535-1.18003
153262.2264.217263.8080.408606-2.01694
154258.6262.6262.4250.175273-4.00027
155259.4261.55261.1880.362475-2.14998
156262.7260.844260.2330.6109871.85568
157264.9258.949259.537-0.5884185.95092
158260.5256.911258.992-2.080683.58901
159256.4258.206258.65-0.44437-1.80563
160254.7258.535258.679-0.144072-3.83509
161254.8259.043259.0290.0142609-4.24343
162255.3260.441259.5170.924678-5.14134
163256.8260.69260.3710.318725-3.88956
164258.7262.355261.9130.442535-3.65503
165259.8264.488264.0790.408606-4.68777
166261.7266.863266.6880.175273-5.16277
167264.7270269.6380.362475-5.29998
168269.1273.482272.8710.610987-4.38182
169279275.862276.45-0.5884183.13842
170283.4278.344280.425-2.080685.05568
171285.5284.318284.762-0.444371.18187
172288.2289.302289.446-0.144072-1.10176
173292.1294.589294.5750.0142609-2.48926
174295.6301.15300.2250.924678-5.54968
175302.4NANA0.318725NA
176308.5NANA0.442535NA
177314.1NANA0.408606NA
178319.8NANA0.175273NA
179329.7NANA0.362475NA
180339.7NANA0.610987NA

\begin{tabular}{lllllllll}
\hline
Classical Decomposition by Moving Averages \tabularnewline
t & Observations & Fit & Trend & Seasonal & Random \tabularnewline
1 & 329.6 & NA & NA & -0.588418 & NA \tabularnewline
2 & 327.2 & NA & NA & -2.08068 & NA \tabularnewline
3 & 326.3 & NA & NA & -0.44437 & NA \tabularnewline
4 & 315.4 & NA & NA & -0.144072 & NA \tabularnewline
5 & 308.6 & NA & NA & 0.0142609 & NA \tabularnewline
6 & 302.6 & NA & NA & 0.924678 & NA \tabularnewline
7 & 295.6 & 300.785 & 300.467 & 0.318725 & -5.18539 \tabularnewline
8 & 291.5 & 296.038 & 295.596 & 0.442535 & -4.53837 \tabularnewline
9 & 288.1 & 290.667 & 290.258 & 0.408606 & -2.56694 \tabularnewline
10 & 281.1 & 285.088 & 284.912 & 0.175273 & -3.98777 \tabularnewline
11 & 282.4 & 280.242 & 279.879 & 0.362475 & 2.15836 \tabularnewline
12 & 284.9 & 275.611 & 275 & 0.610987 & 9.28901 \tabularnewline
13 & 274.2 & 269.803 & 270.392 & -0.588418 & 4.39675 \tabularnewline
14 & 265.7 & 263.94 & 266.021 & -2.08068 & 1.75985 \tabularnewline
15 & 259.7 & 261.214 & 261.658 & -0.44437 & -1.51396 \tabularnewline
16 & 253.7 & 257.248 & 257.392 & -0.144072 & -3.54759 \tabularnewline
17 & 249.5 & 253.002 & 252.987 & 0.0142609 & -3.50176 \tabularnewline
18 & 244.6 & 248.958 & 248.033 & 0.924678 & -4.35801 \tabularnewline
19 & 243 & 243.435 & 243.117 & 0.318725 & -0.435392 \tabularnewline
20 & 239.2 & 239.13 & 238.687 & 0.442535 & 0.0699653 \tabularnewline
21 & 235.7 & 234.95 & 234.542 & 0.408606 & 0.749727 \tabularnewline
22 & 231.1 & 230.8 & 230.625 & 0.175273 & 0.299727 \tabularnewline
23 & 226.7 & 227.204 & 226.842 & 0.362475 & -0.504142 \tabularnewline
24 & 221.7 & 223.778 & 223.167 & 0.610987 & -2.07765 \tabularnewline
25 & 219.4 & 218.974 & 219.562 & -0.588418 & 0.425918 \tabularnewline
26 & 214.2 & 213.961 & 216.042 & -2.08068 & 0.239013 \tabularnewline
27 & 211.7 & 212.185 & 212.629 & -0.44437 & -0.484797 \tabularnewline
28 & 207.7 & 209.264 & 209.408 & -0.144072 & -1.56426 \tabularnewline
29 & 204.7 & 206.477 & 206.462 & 0.0142609 & -1.77676 \tabularnewline
30 & 201.2 & 204.591 & 203.667 & 0.924678 & -3.39134 \tabularnewline
31 & 199.9 & 201.094 & 200.775 & 0.318725 & -1.19373 \tabularnewline
32 & 197.8 & 198.343 & 197.9 & 0.442535 & -0.542535 \tabularnewline
33 & 195.2 & 195.642 & 195.233 & 0.408606 & -0.441939 \tabularnewline
34 & 194.3 & 192.963 & 192.787 & 0.175273 & 1.33723 \tabularnewline
35 & 192.8 & 190.942 & 190.579 & 0.362475 & 1.85836 \tabularnewline
36 & 188.5 & 189.123 & 188.512 & 0.610987 & -0.623487 \tabularnewline
37 & 183.2 & 185.849 & 186.437 & -0.588418 & -2.64908 \tabularnewline
38 & 181.4 & 182.215 & 184.296 & -2.08068 & -0.815154 \tabularnewline
39 & 180.5 & 181.776 & 182.221 & -0.44437 & -1.27646 \tabularnewline
40 & 180.2 & 180.052 & 180.196 & -0.144072 & 0.148239 \tabularnewline
41 & 179.2 & 178.218 & 178.204 & 0.0142609 & 0.981572 \tabularnewline
42 & 177.1 & 177.2 & 176.275 & 0.924678 & -0.0996776 \tabularnewline
43 & 174.2 & 174.969 & 174.65 & 0.318725 & -0.768725 \tabularnewline
44 & 172.1 & 173.851 & 173.408 & 0.442535 & -1.75087 \tabularnewline
45 & 171.1 & 172.879 & 172.471 & 0.408606 & -1.77944 \tabularnewline
46 & 169.8 & 172.104 & 171.929 & 0.175273 & -2.30444 \tabularnewline
47 & 169.5 & 172.146 & 171.783 & 0.362475 & -2.64581 \tabularnewline
48 & 165.5 & 172.753 & 172.142 & 0.610987 & -7.25265 \tabularnewline
49 & 167.2 & 172.312 & 172.9 & -0.588418 & -5.11158 \tabularnewline
50 & 167.6 & 171.898 & 173.979 & -2.08068 & -4.29849 \tabularnewline
51 & 171.8 & 175.031 & 175.475 & -0.44437 & -3.23063 \tabularnewline
52 & 175.9 & 177.252 & 177.396 & -0.144072 & -1.35176 \tabularnewline
53 & 180 & 179.818 & 179.804 & 0.0142609 & 0.181572 \tabularnewline
54 & 184.9 & 183.65 & 182.725 & 0.924678 & 1.25032 \tabularnewline
55 & 184.6 & 186.373 & 186.054 & 0.318725 & -1.77289 \tabularnewline
56 & 187.6 & 190.305 & 189.862 & 0.442535 & -2.70503 \tabularnewline
57 & 191.5 & 194.659 & 194.25 & 0.408606 & -3.15861 \tabularnewline
58 & 195.5 & 199.304 & 199.129 & 0.175273 & -3.80444 \tabularnewline
59 & 201.6 & 204.779 & 204.417 & 0.362475 & -3.17914 \tabularnewline
60 & 203.5 & 210.607 & 209.996 & 0.610987 & -7.10682 \tabularnewline
61 & 209.1 & 215.416 & 216.004 & -0.588418 & -6.31575 \tabularnewline
62 & 217.1 & 220.357 & 222.438 & -2.08068 & -3.25682 \tabularnewline
63 & 227.6 & 228.66 & 229.104 & -0.44437 & -1.0598 \tabularnewline
64 & 237.2 & 235.91 & 236.054 & -0.144072 & 1.28991 \tabularnewline
65 & 245.6 & 243.073 & 243.058 & 0.0142609 & 2.52741 \tabularnewline
66 & 253.2 & 250.975 & 250.05 & 0.924678 & 2.22532 \tabularnewline
67 & 260.5 & 257.065 & 256.746 & 0.318725 & 3.43544 \tabularnewline
68 & 266.1 & 263.334 & 262.892 & 0.442535 & 2.7658 \tabularnewline
69 & 273 & 269.292 & 268.883 & 0.408606 & 3.70806 \tabularnewline
70 & 280.8 & 275 & 274.825 & 0.175273 & 5.79973 \tabularnewline
71 & 284.4 & 280.871 & 280.508 & 0.362475 & 3.52919 \tabularnewline
72 & 288.5 & 286.728 & 286.117 & 0.610987 & 1.77235 \tabularnewline
73 & 284.8 & 290.782 & 291.371 & -0.588418 & -5.98242 \tabularnewline
74 & 288.9 & 293.886 & 295.967 & -2.08068 & -4.98599 \tabularnewline
75 & 299.6 & 299.785 & 300.229 & -0.44437 & -0.184797 \tabularnewline
76 & 307.8 & 303.902 & 304.046 & -0.144072 & 3.89824 \tabularnewline
77 & 311.4 & 307.423 & 307.408 & 0.0142609 & 3.97741 \tabularnewline
78 & 322 & 311.454 & 310.529 & 0.924678 & 10.5462 \tabularnewline
79 & 317.8 & 313.969 & 313.65 & 0.318725 & 3.83127 \tabularnewline
80 & 319.1 & 316.938 & 316.496 & 0.442535 & 2.16163 \tabularnewline
81 & 322.3 & 319.342 & 318.933 & 0.408606 & 2.95806 \tabularnewline
82 & 323.1 & 321.192 & 321.017 & 0.175273 & 1.90806 \tabularnewline
83 & 322.8 & 322.9 & 322.538 & 0.362475 & -0.0999752 \tabularnewline
84 & 325 & 324.115 & 323.504 & 0.610987 & 0.884846 \tabularnewline
85 & 323.2 & 323.503 & 324.092 & -0.588418 & -0.303249 \tabularnewline
86 & 318.8 & 322.373 & 324.454 & -2.08068 & -3.57349 \tabularnewline
87 & 328.2 & 324.01 & 324.454 & -0.44437 & 4.1902 \tabularnewline
88 & 329.2 & 323.881 & 324.025 & -0.144072 & 5.31907 \tabularnewline
89 & 326.5 & 323.218 & 323.204 & 0.0142609 & 3.28157 \tabularnewline
90 & 330.1 & 322.854 & 321.929 & 0.924678 & 7.24616 \tabularnewline
91 & 323.8 & 320.306 & 319.987 & 0.318725 & 3.49377 \tabularnewline
92 & 321.8 & 317.976 & 317.533 & 0.442535 & 3.82413 \tabularnewline
93 & 319.6 & 315.229 & 314.821 & 0.408606 & 4.37056 \tabularnewline
94 & 315.5 & 311.904 & 311.729 & 0.175273 & 3.59556 \tabularnewline
95 & 310.7 & 308.8 & 308.437 & 0.362475 & 1.90002 \tabularnewline
96 & 306.5 & 305.44 & 304.829 & 0.610987 & 1.05985 \tabularnewline
97 & 295.1 & 300.307 & 300.896 & -0.588418 & -5.20742 \tabularnewline
98 & 288 & 294.815 & 296.896 & -2.08068 & -6.81515 \tabularnewline
99 & 293.9 & 292.251 & 292.696 & -0.44437 & 1.64854 \tabularnewline
100 & 289.3 & 288.202 & 288.346 & -0.144072 & 1.09824 \tabularnewline
101 & 287.4 & 283.91 & 283.896 & 0.0142609 & 3.48991 \tabularnewline
102 & 282.6 & 280.241 & 279.317 & 0.924678 & 2.35866 \tabularnewline
103 & 276.9 & 275.148 & 274.829 & 0.318725 & 1.75211 \tabularnewline
104 & 272.7 & 270.905 & 270.462 & 0.442535 & 1.79497 \tabularnewline
105 & 267.9 & 265.988 & 265.579 & 0.408606 & 1.91223 \tabularnewline
106 & 262.8 & 260.309 & 260.133 & 0.175273 & 2.49139 \tabularnewline
107 & 256.6 & 254.821 & 254.458 & 0.362475 & 1.77919 \tabularnewline
108 & 250.7 & 249.307 & 248.696 & 0.610987 & 1.39318 \tabularnewline
109 & 243.2 & 242.499 & 243.087 & -0.588418 & 0.700918 \tabularnewline
110 & 235.1 & 235.557 & 237.637 & -2.08068 & -0.45682 \tabularnewline
111 & 229.6 & 231.776 & 232.221 & -0.44437 & -2.17646 \tabularnewline
112 & 222.9 & 226.698 & 226.842 & -0.144072 & -3.79759 \tabularnewline
113 & 217.6 & 221.652 & 221.637 & 0.0142609 & -4.05176 \tabularnewline
114 & 214.1 & 217.575 & 216.65 & 0.924678 & -3.47468 \tabularnewline
115 & 210.8 & 212.285 & 211.967 & 0.318725 & -1.48539 \tabularnewline
116 & 208 & 207.972 & 207.529 & 0.442535 & 0.0282986 \tabularnewline
117 & 202.6 & 203.642 & 203.233 & 0.408606 & -1.04194 \tabularnewline
118 & 199 & 199.375 & 199.2 & 0.175273 & -0.375273 \tabularnewline
119 & 195.5 & 195.812 & 195.45 & 0.362475 & -0.312475 \tabularnewline
120 & 192.1 & 192.478 & 191.867 & 0.610987 & -0.377654 \tabularnewline
121 & 189.4 & 187.803 & 188.392 & -0.588418 & 1.59675 \tabularnewline
122 & 182.4 & 182.948 & 185.029 & -2.08068 & -0.548487 \tabularnewline
123 & 179.2 & 181.422 & 181.867 & -0.44437 & -2.2223 \tabularnewline
124 & 176.5 & 178.835 & 178.979 & -0.144072 & -2.33509 \tabularnewline
125 & 174 & 176.402 & 176.388 & 0.0142609 & -2.40176 \tabularnewline
126 & 171.7 & 175.204 & 174.279 & 0.924678 & -3.50384 \tabularnewline
127 & 169.8 & 173.21 & 172.892 & 0.318725 & -3.41039 \tabularnewline
128 & 168.3 & 172.884 & 172.442 & 0.442535 & -4.5842 \tabularnewline
129 & 166.4 & 173.421 & 173.013 & 0.408606 & -7.02111 \tabularnewline
130 & 165.9 & 174.767 & 174.592 & 0.175273 & -8.86694 \tabularnewline
131 & 166.4 & 177.529 & 177.167 & 0.362475 & -11.1291 \tabularnewline
132 & 170.6 & 181.382 & 180.771 & 0.610987 & -10.7818 \tabularnewline
133 & 177.6 & 184.862 & 185.45 & -0.588418 & -7.26158 \tabularnewline
134 & 183.4 & 188.973 & 191.054 & -2.08068 & -5.57349 \tabularnewline
135 & 191.9 & 197.031 & 197.475 & -0.44437 & -5.13063 \tabularnewline
136 & 201.7 & 204.606 & 204.75 & -0.144072 & -2.90593 \tabularnewline
137 & 210.6 & 212.731 & 212.717 & 0.0142609 & -2.13093 \tabularnewline
138 & 221.6 & 221.962 & 221.038 & 0.924678 & -0.362178 \tabularnewline
139 & 232.2 & 229.581 & 229.263 & 0.318725 & 2.61877 \tabularnewline
140 & 240.4 & 237.651 & 237.208 & 0.442535 & 2.74913 \tabularnewline
141 & 248.4 & 244.946 & 244.538 & 0.408606 & 3.45389 \tabularnewline
142 & 258.5 & 250.992 & 250.817 & 0.175273 & 7.50806 \tabularnewline
143 & 265 & 256.467 & 256.104 & 0.362475 & 8.53336 \tabularnewline
144 & 271.7 & 260.915 & 260.304 & 0.610987 & 10.7848 \tabularnewline
145 & 273.9 & 262.841 & 263.429 & -0.588418 & 11.0593 \tabularnewline
146 & 277.8 & 263.682 & 265.762 & -2.08068 & 14.1182 \tabularnewline
147 & 273.4 & 266.897 & 267.342 & -0.44437 & 6.5027 \tabularnewline
148 & 270.9 & 267.777 & 267.921 & -0.144072 & 3.12324 \tabularnewline
149 & 268.3 & 267.706 & 267.692 & 0.0142609 & 0.594072 \tabularnewline
150 & 264.7 & 268.008 & 267.083 & 0.924678 & -3.30801 \tabularnewline
151 & 264.1 & 266.652 & 266.333 & 0.318725 & -2.55206 \tabularnewline
152 & 264.5 & 265.68 & 265.237 & 0.442535 & -1.18003 \tabularnewline
153 & 262.2 & 264.217 & 263.808 & 0.408606 & -2.01694 \tabularnewline
154 & 258.6 & 262.6 & 262.425 & 0.175273 & -4.00027 \tabularnewline
155 & 259.4 & 261.55 & 261.188 & 0.362475 & -2.14998 \tabularnewline
156 & 262.7 & 260.844 & 260.233 & 0.610987 & 1.85568 \tabularnewline
157 & 264.9 & 258.949 & 259.537 & -0.588418 & 5.95092 \tabularnewline
158 & 260.5 & 256.911 & 258.992 & -2.08068 & 3.58901 \tabularnewline
159 & 256.4 & 258.206 & 258.65 & -0.44437 & -1.80563 \tabularnewline
160 & 254.7 & 258.535 & 258.679 & -0.144072 & -3.83509 \tabularnewline
161 & 254.8 & 259.043 & 259.029 & 0.0142609 & -4.24343 \tabularnewline
162 & 255.3 & 260.441 & 259.517 & 0.924678 & -5.14134 \tabularnewline
163 & 256.8 & 260.69 & 260.371 & 0.318725 & -3.88956 \tabularnewline
164 & 258.7 & 262.355 & 261.913 & 0.442535 & -3.65503 \tabularnewline
165 & 259.8 & 264.488 & 264.079 & 0.408606 & -4.68777 \tabularnewline
166 & 261.7 & 266.863 & 266.688 & 0.175273 & -5.16277 \tabularnewline
167 & 264.7 & 270 & 269.638 & 0.362475 & -5.29998 \tabularnewline
168 & 269.1 & 273.482 & 272.871 & 0.610987 & -4.38182 \tabularnewline
169 & 279 & 275.862 & 276.45 & -0.588418 & 3.13842 \tabularnewline
170 & 283.4 & 278.344 & 280.425 & -2.08068 & 5.05568 \tabularnewline
171 & 285.5 & 284.318 & 284.762 & -0.44437 & 1.18187 \tabularnewline
172 & 288.2 & 289.302 & 289.446 & -0.144072 & -1.10176 \tabularnewline
173 & 292.1 & 294.589 & 294.575 & 0.0142609 & -2.48926 \tabularnewline
174 & 295.6 & 301.15 & 300.225 & 0.924678 & -5.54968 \tabularnewline
175 & 302.4 & NA & NA & 0.318725 & NA \tabularnewline
176 & 308.5 & NA & NA & 0.442535 & NA \tabularnewline
177 & 314.1 & NA & NA & 0.408606 & NA \tabularnewline
178 & 319.8 & NA & NA & 0.175273 & NA \tabularnewline
179 & 329.7 & NA & NA & 0.362475 & NA \tabularnewline
180 & 339.7 & NA & NA & 0.610987 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=234835&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]329.6[/C][C]NA[/C][C]NA[/C][C]-0.588418[/C][C]NA[/C][/ROW]
[ROW][C]2[/C][C]327.2[/C][C]NA[/C][C]NA[/C][C]-2.08068[/C][C]NA[/C][/ROW]
[ROW][C]3[/C][C]326.3[/C][C]NA[/C][C]NA[/C][C]-0.44437[/C][C]NA[/C][/ROW]
[ROW][C]4[/C][C]315.4[/C][C]NA[/C][C]NA[/C][C]-0.144072[/C][C]NA[/C][/ROW]
[ROW][C]5[/C][C]308.6[/C][C]NA[/C][C]NA[/C][C]0.0142609[/C][C]NA[/C][/ROW]
[ROW][C]6[/C][C]302.6[/C][C]NA[/C][C]NA[/C][C]0.924678[/C][C]NA[/C][/ROW]
[ROW][C]7[/C][C]295.6[/C][C]300.785[/C][C]300.467[/C][C]0.318725[/C][C]-5.18539[/C][/ROW]
[ROW][C]8[/C][C]291.5[/C][C]296.038[/C][C]295.596[/C][C]0.442535[/C][C]-4.53837[/C][/ROW]
[ROW][C]9[/C][C]288.1[/C][C]290.667[/C][C]290.258[/C][C]0.408606[/C][C]-2.56694[/C][/ROW]
[ROW][C]10[/C][C]281.1[/C][C]285.088[/C][C]284.912[/C][C]0.175273[/C][C]-3.98777[/C][/ROW]
[ROW][C]11[/C][C]282.4[/C][C]280.242[/C][C]279.879[/C][C]0.362475[/C][C]2.15836[/C][/ROW]
[ROW][C]12[/C][C]284.9[/C][C]275.611[/C][C]275[/C][C]0.610987[/C][C]9.28901[/C][/ROW]
[ROW][C]13[/C][C]274.2[/C][C]269.803[/C][C]270.392[/C][C]-0.588418[/C][C]4.39675[/C][/ROW]
[ROW][C]14[/C][C]265.7[/C][C]263.94[/C][C]266.021[/C][C]-2.08068[/C][C]1.75985[/C][/ROW]
[ROW][C]15[/C][C]259.7[/C][C]261.214[/C][C]261.658[/C][C]-0.44437[/C][C]-1.51396[/C][/ROW]
[ROW][C]16[/C][C]253.7[/C][C]257.248[/C][C]257.392[/C][C]-0.144072[/C][C]-3.54759[/C][/ROW]
[ROW][C]17[/C][C]249.5[/C][C]253.002[/C][C]252.987[/C][C]0.0142609[/C][C]-3.50176[/C][/ROW]
[ROW][C]18[/C][C]244.6[/C][C]248.958[/C][C]248.033[/C][C]0.924678[/C][C]-4.35801[/C][/ROW]
[ROW][C]19[/C][C]243[/C][C]243.435[/C][C]243.117[/C][C]0.318725[/C][C]-0.435392[/C][/ROW]
[ROW][C]20[/C][C]239.2[/C][C]239.13[/C][C]238.687[/C][C]0.442535[/C][C]0.0699653[/C][/ROW]
[ROW][C]21[/C][C]235.7[/C][C]234.95[/C][C]234.542[/C][C]0.408606[/C][C]0.749727[/C][/ROW]
[ROW][C]22[/C][C]231.1[/C][C]230.8[/C][C]230.625[/C][C]0.175273[/C][C]0.299727[/C][/ROW]
[ROW][C]23[/C][C]226.7[/C][C]227.204[/C][C]226.842[/C][C]0.362475[/C][C]-0.504142[/C][/ROW]
[ROW][C]24[/C][C]221.7[/C][C]223.778[/C][C]223.167[/C][C]0.610987[/C][C]-2.07765[/C][/ROW]
[ROW][C]25[/C][C]219.4[/C][C]218.974[/C][C]219.562[/C][C]-0.588418[/C][C]0.425918[/C][/ROW]
[ROW][C]26[/C][C]214.2[/C][C]213.961[/C][C]216.042[/C][C]-2.08068[/C][C]0.239013[/C][/ROW]
[ROW][C]27[/C][C]211.7[/C][C]212.185[/C][C]212.629[/C][C]-0.44437[/C][C]-0.484797[/C][/ROW]
[ROW][C]28[/C][C]207.7[/C][C]209.264[/C][C]209.408[/C][C]-0.144072[/C][C]-1.56426[/C][/ROW]
[ROW][C]29[/C][C]204.7[/C][C]206.477[/C][C]206.462[/C][C]0.0142609[/C][C]-1.77676[/C][/ROW]
[ROW][C]30[/C][C]201.2[/C][C]204.591[/C][C]203.667[/C][C]0.924678[/C][C]-3.39134[/C][/ROW]
[ROW][C]31[/C][C]199.9[/C][C]201.094[/C][C]200.775[/C][C]0.318725[/C][C]-1.19373[/C][/ROW]
[ROW][C]32[/C][C]197.8[/C][C]198.343[/C][C]197.9[/C][C]0.442535[/C][C]-0.542535[/C][/ROW]
[ROW][C]33[/C][C]195.2[/C][C]195.642[/C][C]195.233[/C][C]0.408606[/C][C]-0.441939[/C][/ROW]
[ROW][C]34[/C][C]194.3[/C][C]192.963[/C][C]192.787[/C][C]0.175273[/C][C]1.33723[/C][/ROW]
[ROW][C]35[/C][C]192.8[/C][C]190.942[/C][C]190.579[/C][C]0.362475[/C][C]1.85836[/C][/ROW]
[ROW][C]36[/C][C]188.5[/C][C]189.123[/C][C]188.512[/C][C]0.610987[/C][C]-0.623487[/C][/ROW]
[ROW][C]37[/C][C]183.2[/C][C]185.849[/C][C]186.437[/C][C]-0.588418[/C][C]-2.64908[/C][/ROW]
[ROW][C]38[/C][C]181.4[/C][C]182.215[/C][C]184.296[/C][C]-2.08068[/C][C]-0.815154[/C][/ROW]
[ROW][C]39[/C][C]180.5[/C][C]181.776[/C][C]182.221[/C][C]-0.44437[/C][C]-1.27646[/C][/ROW]
[ROW][C]40[/C][C]180.2[/C][C]180.052[/C][C]180.196[/C][C]-0.144072[/C][C]0.148239[/C][/ROW]
[ROW][C]41[/C][C]179.2[/C][C]178.218[/C][C]178.204[/C][C]0.0142609[/C][C]0.981572[/C][/ROW]
[ROW][C]42[/C][C]177.1[/C][C]177.2[/C][C]176.275[/C][C]0.924678[/C][C]-0.0996776[/C][/ROW]
[ROW][C]43[/C][C]174.2[/C][C]174.969[/C][C]174.65[/C][C]0.318725[/C][C]-0.768725[/C][/ROW]
[ROW][C]44[/C][C]172.1[/C][C]173.851[/C][C]173.408[/C][C]0.442535[/C][C]-1.75087[/C][/ROW]
[ROW][C]45[/C][C]171.1[/C][C]172.879[/C][C]172.471[/C][C]0.408606[/C][C]-1.77944[/C][/ROW]
[ROW][C]46[/C][C]169.8[/C][C]172.104[/C][C]171.929[/C][C]0.175273[/C][C]-2.30444[/C][/ROW]
[ROW][C]47[/C][C]169.5[/C][C]172.146[/C][C]171.783[/C][C]0.362475[/C][C]-2.64581[/C][/ROW]
[ROW][C]48[/C][C]165.5[/C][C]172.753[/C][C]172.142[/C][C]0.610987[/C][C]-7.25265[/C][/ROW]
[ROW][C]49[/C][C]167.2[/C][C]172.312[/C][C]172.9[/C][C]-0.588418[/C][C]-5.11158[/C][/ROW]
[ROW][C]50[/C][C]167.6[/C][C]171.898[/C][C]173.979[/C][C]-2.08068[/C][C]-4.29849[/C][/ROW]
[ROW][C]51[/C][C]171.8[/C][C]175.031[/C][C]175.475[/C][C]-0.44437[/C][C]-3.23063[/C][/ROW]
[ROW][C]52[/C][C]175.9[/C][C]177.252[/C][C]177.396[/C][C]-0.144072[/C][C]-1.35176[/C][/ROW]
[ROW][C]53[/C][C]180[/C][C]179.818[/C][C]179.804[/C][C]0.0142609[/C][C]0.181572[/C][/ROW]
[ROW][C]54[/C][C]184.9[/C][C]183.65[/C][C]182.725[/C][C]0.924678[/C][C]1.25032[/C][/ROW]
[ROW][C]55[/C][C]184.6[/C][C]186.373[/C][C]186.054[/C][C]0.318725[/C][C]-1.77289[/C][/ROW]
[ROW][C]56[/C][C]187.6[/C][C]190.305[/C][C]189.862[/C][C]0.442535[/C][C]-2.70503[/C][/ROW]
[ROW][C]57[/C][C]191.5[/C][C]194.659[/C][C]194.25[/C][C]0.408606[/C][C]-3.15861[/C][/ROW]
[ROW][C]58[/C][C]195.5[/C][C]199.304[/C][C]199.129[/C][C]0.175273[/C][C]-3.80444[/C][/ROW]
[ROW][C]59[/C][C]201.6[/C][C]204.779[/C][C]204.417[/C][C]0.362475[/C][C]-3.17914[/C][/ROW]
[ROW][C]60[/C][C]203.5[/C][C]210.607[/C][C]209.996[/C][C]0.610987[/C][C]-7.10682[/C][/ROW]
[ROW][C]61[/C][C]209.1[/C][C]215.416[/C][C]216.004[/C][C]-0.588418[/C][C]-6.31575[/C][/ROW]
[ROW][C]62[/C][C]217.1[/C][C]220.357[/C][C]222.438[/C][C]-2.08068[/C][C]-3.25682[/C][/ROW]
[ROW][C]63[/C][C]227.6[/C][C]228.66[/C][C]229.104[/C][C]-0.44437[/C][C]-1.0598[/C][/ROW]
[ROW][C]64[/C][C]237.2[/C][C]235.91[/C][C]236.054[/C][C]-0.144072[/C][C]1.28991[/C][/ROW]
[ROW][C]65[/C][C]245.6[/C][C]243.073[/C][C]243.058[/C][C]0.0142609[/C][C]2.52741[/C][/ROW]
[ROW][C]66[/C][C]253.2[/C][C]250.975[/C][C]250.05[/C][C]0.924678[/C][C]2.22532[/C][/ROW]
[ROW][C]67[/C][C]260.5[/C][C]257.065[/C][C]256.746[/C][C]0.318725[/C][C]3.43544[/C][/ROW]
[ROW][C]68[/C][C]266.1[/C][C]263.334[/C][C]262.892[/C][C]0.442535[/C][C]2.7658[/C][/ROW]
[ROW][C]69[/C][C]273[/C][C]269.292[/C][C]268.883[/C][C]0.408606[/C][C]3.70806[/C][/ROW]
[ROW][C]70[/C][C]280.8[/C][C]275[/C][C]274.825[/C][C]0.175273[/C][C]5.79973[/C][/ROW]
[ROW][C]71[/C][C]284.4[/C][C]280.871[/C][C]280.508[/C][C]0.362475[/C][C]3.52919[/C][/ROW]
[ROW][C]72[/C][C]288.5[/C][C]286.728[/C][C]286.117[/C][C]0.610987[/C][C]1.77235[/C][/ROW]
[ROW][C]73[/C][C]284.8[/C][C]290.782[/C][C]291.371[/C][C]-0.588418[/C][C]-5.98242[/C][/ROW]
[ROW][C]74[/C][C]288.9[/C][C]293.886[/C][C]295.967[/C][C]-2.08068[/C][C]-4.98599[/C][/ROW]
[ROW][C]75[/C][C]299.6[/C][C]299.785[/C][C]300.229[/C][C]-0.44437[/C][C]-0.184797[/C][/ROW]
[ROW][C]76[/C][C]307.8[/C][C]303.902[/C][C]304.046[/C][C]-0.144072[/C][C]3.89824[/C][/ROW]
[ROW][C]77[/C][C]311.4[/C][C]307.423[/C][C]307.408[/C][C]0.0142609[/C][C]3.97741[/C][/ROW]
[ROW][C]78[/C][C]322[/C][C]311.454[/C][C]310.529[/C][C]0.924678[/C][C]10.5462[/C][/ROW]
[ROW][C]79[/C][C]317.8[/C][C]313.969[/C][C]313.65[/C][C]0.318725[/C][C]3.83127[/C][/ROW]
[ROW][C]80[/C][C]319.1[/C][C]316.938[/C][C]316.496[/C][C]0.442535[/C][C]2.16163[/C][/ROW]
[ROW][C]81[/C][C]322.3[/C][C]319.342[/C][C]318.933[/C][C]0.408606[/C][C]2.95806[/C][/ROW]
[ROW][C]82[/C][C]323.1[/C][C]321.192[/C][C]321.017[/C][C]0.175273[/C][C]1.90806[/C][/ROW]
[ROW][C]83[/C][C]322.8[/C][C]322.9[/C][C]322.538[/C][C]0.362475[/C][C]-0.0999752[/C][/ROW]
[ROW][C]84[/C][C]325[/C][C]324.115[/C][C]323.504[/C][C]0.610987[/C][C]0.884846[/C][/ROW]
[ROW][C]85[/C][C]323.2[/C][C]323.503[/C][C]324.092[/C][C]-0.588418[/C][C]-0.303249[/C][/ROW]
[ROW][C]86[/C][C]318.8[/C][C]322.373[/C][C]324.454[/C][C]-2.08068[/C][C]-3.57349[/C][/ROW]
[ROW][C]87[/C][C]328.2[/C][C]324.01[/C][C]324.454[/C][C]-0.44437[/C][C]4.1902[/C][/ROW]
[ROW][C]88[/C][C]329.2[/C][C]323.881[/C][C]324.025[/C][C]-0.144072[/C][C]5.31907[/C][/ROW]
[ROW][C]89[/C][C]326.5[/C][C]323.218[/C][C]323.204[/C][C]0.0142609[/C][C]3.28157[/C][/ROW]
[ROW][C]90[/C][C]330.1[/C][C]322.854[/C][C]321.929[/C][C]0.924678[/C][C]7.24616[/C][/ROW]
[ROW][C]91[/C][C]323.8[/C][C]320.306[/C][C]319.987[/C][C]0.318725[/C][C]3.49377[/C][/ROW]
[ROW][C]92[/C][C]321.8[/C][C]317.976[/C][C]317.533[/C][C]0.442535[/C][C]3.82413[/C][/ROW]
[ROW][C]93[/C][C]319.6[/C][C]315.229[/C][C]314.821[/C][C]0.408606[/C][C]4.37056[/C][/ROW]
[ROW][C]94[/C][C]315.5[/C][C]311.904[/C][C]311.729[/C][C]0.175273[/C][C]3.59556[/C][/ROW]
[ROW][C]95[/C][C]310.7[/C][C]308.8[/C][C]308.437[/C][C]0.362475[/C][C]1.90002[/C][/ROW]
[ROW][C]96[/C][C]306.5[/C][C]305.44[/C][C]304.829[/C][C]0.610987[/C][C]1.05985[/C][/ROW]
[ROW][C]97[/C][C]295.1[/C][C]300.307[/C][C]300.896[/C][C]-0.588418[/C][C]-5.20742[/C][/ROW]
[ROW][C]98[/C][C]288[/C][C]294.815[/C][C]296.896[/C][C]-2.08068[/C][C]-6.81515[/C][/ROW]
[ROW][C]99[/C][C]293.9[/C][C]292.251[/C][C]292.696[/C][C]-0.44437[/C][C]1.64854[/C][/ROW]
[ROW][C]100[/C][C]289.3[/C][C]288.202[/C][C]288.346[/C][C]-0.144072[/C][C]1.09824[/C][/ROW]
[ROW][C]101[/C][C]287.4[/C][C]283.91[/C][C]283.896[/C][C]0.0142609[/C][C]3.48991[/C][/ROW]
[ROW][C]102[/C][C]282.6[/C][C]280.241[/C][C]279.317[/C][C]0.924678[/C][C]2.35866[/C][/ROW]
[ROW][C]103[/C][C]276.9[/C][C]275.148[/C][C]274.829[/C][C]0.318725[/C][C]1.75211[/C][/ROW]
[ROW][C]104[/C][C]272.7[/C][C]270.905[/C][C]270.462[/C][C]0.442535[/C][C]1.79497[/C][/ROW]
[ROW][C]105[/C][C]267.9[/C][C]265.988[/C][C]265.579[/C][C]0.408606[/C][C]1.91223[/C][/ROW]
[ROW][C]106[/C][C]262.8[/C][C]260.309[/C][C]260.133[/C][C]0.175273[/C][C]2.49139[/C][/ROW]
[ROW][C]107[/C][C]256.6[/C][C]254.821[/C][C]254.458[/C][C]0.362475[/C][C]1.77919[/C][/ROW]
[ROW][C]108[/C][C]250.7[/C][C]249.307[/C][C]248.696[/C][C]0.610987[/C][C]1.39318[/C][/ROW]
[ROW][C]109[/C][C]243.2[/C][C]242.499[/C][C]243.087[/C][C]-0.588418[/C][C]0.700918[/C][/ROW]
[ROW][C]110[/C][C]235.1[/C][C]235.557[/C][C]237.637[/C][C]-2.08068[/C][C]-0.45682[/C][/ROW]
[ROW][C]111[/C][C]229.6[/C][C]231.776[/C][C]232.221[/C][C]-0.44437[/C][C]-2.17646[/C][/ROW]
[ROW][C]112[/C][C]222.9[/C][C]226.698[/C][C]226.842[/C][C]-0.144072[/C][C]-3.79759[/C][/ROW]
[ROW][C]113[/C][C]217.6[/C][C]221.652[/C][C]221.637[/C][C]0.0142609[/C][C]-4.05176[/C][/ROW]
[ROW][C]114[/C][C]214.1[/C][C]217.575[/C][C]216.65[/C][C]0.924678[/C][C]-3.47468[/C][/ROW]
[ROW][C]115[/C][C]210.8[/C][C]212.285[/C][C]211.967[/C][C]0.318725[/C][C]-1.48539[/C][/ROW]
[ROW][C]116[/C][C]208[/C][C]207.972[/C][C]207.529[/C][C]0.442535[/C][C]0.0282986[/C][/ROW]
[ROW][C]117[/C][C]202.6[/C][C]203.642[/C][C]203.233[/C][C]0.408606[/C][C]-1.04194[/C][/ROW]
[ROW][C]118[/C][C]199[/C][C]199.375[/C][C]199.2[/C][C]0.175273[/C][C]-0.375273[/C][/ROW]
[ROW][C]119[/C][C]195.5[/C][C]195.812[/C][C]195.45[/C][C]0.362475[/C][C]-0.312475[/C][/ROW]
[ROW][C]120[/C][C]192.1[/C][C]192.478[/C][C]191.867[/C][C]0.610987[/C][C]-0.377654[/C][/ROW]
[ROW][C]121[/C][C]189.4[/C][C]187.803[/C][C]188.392[/C][C]-0.588418[/C][C]1.59675[/C][/ROW]
[ROW][C]122[/C][C]182.4[/C][C]182.948[/C][C]185.029[/C][C]-2.08068[/C][C]-0.548487[/C][/ROW]
[ROW][C]123[/C][C]179.2[/C][C]181.422[/C][C]181.867[/C][C]-0.44437[/C][C]-2.2223[/C][/ROW]
[ROW][C]124[/C][C]176.5[/C][C]178.835[/C][C]178.979[/C][C]-0.144072[/C][C]-2.33509[/C][/ROW]
[ROW][C]125[/C][C]174[/C][C]176.402[/C][C]176.388[/C][C]0.0142609[/C][C]-2.40176[/C][/ROW]
[ROW][C]126[/C][C]171.7[/C][C]175.204[/C][C]174.279[/C][C]0.924678[/C][C]-3.50384[/C][/ROW]
[ROW][C]127[/C][C]169.8[/C][C]173.21[/C][C]172.892[/C][C]0.318725[/C][C]-3.41039[/C][/ROW]
[ROW][C]128[/C][C]168.3[/C][C]172.884[/C][C]172.442[/C][C]0.442535[/C][C]-4.5842[/C][/ROW]
[ROW][C]129[/C][C]166.4[/C][C]173.421[/C][C]173.013[/C][C]0.408606[/C][C]-7.02111[/C][/ROW]
[ROW][C]130[/C][C]165.9[/C][C]174.767[/C][C]174.592[/C][C]0.175273[/C][C]-8.86694[/C][/ROW]
[ROW][C]131[/C][C]166.4[/C][C]177.529[/C][C]177.167[/C][C]0.362475[/C][C]-11.1291[/C][/ROW]
[ROW][C]132[/C][C]170.6[/C][C]181.382[/C][C]180.771[/C][C]0.610987[/C][C]-10.7818[/C][/ROW]
[ROW][C]133[/C][C]177.6[/C][C]184.862[/C][C]185.45[/C][C]-0.588418[/C][C]-7.26158[/C][/ROW]
[ROW][C]134[/C][C]183.4[/C][C]188.973[/C][C]191.054[/C][C]-2.08068[/C][C]-5.57349[/C][/ROW]
[ROW][C]135[/C][C]191.9[/C][C]197.031[/C][C]197.475[/C][C]-0.44437[/C][C]-5.13063[/C][/ROW]
[ROW][C]136[/C][C]201.7[/C][C]204.606[/C][C]204.75[/C][C]-0.144072[/C][C]-2.90593[/C][/ROW]
[ROW][C]137[/C][C]210.6[/C][C]212.731[/C][C]212.717[/C][C]0.0142609[/C][C]-2.13093[/C][/ROW]
[ROW][C]138[/C][C]221.6[/C][C]221.962[/C][C]221.038[/C][C]0.924678[/C][C]-0.362178[/C][/ROW]
[ROW][C]139[/C][C]232.2[/C][C]229.581[/C][C]229.263[/C][C]0.318725[/C][C]2.61877[/C][/ROW]
[ROW][C]140[/C][C]240.4[/C][C]237.651[/C][C]237.208[/C][C]0.442535[/C][C]2.74913[/C][/ROW]
[ROW][C]141[/C][C]248.4[/C][C]244.946[/C][C]244.538[/C][C]0.408606[/C][C]3.45389[/C][/ROW]
[ROW][C]142[/C][C]258.5[/C][C]250.992[/C][C]250.817[/C][C]0.175273[/C][C]7.50806[/C][/ROW]
[ROW][C]143[/C][C]265[/C][C]256.467[/C][C]256.104[/C][C]0.362475[/C][C]8.53336[/C][/ROW]
[ROW][C]144[/C][C]271.7[/C][C]260.915[/C][C]260.304[/C][C]0.610987[/C][C]10.7848[/C][/ROW]
[ROW][C]145[/C][C]273.9[/C][C]262.841[/C][C]263.429[/C][C]-0.588418[/C][C]11.0593[/C][/ROW]
[ROW][C]146[/C][C]277.8[/C][C]263.682[/C][C]265.762[/C][C]-2.08068[/C][C]14.1182[/C][/ROW]
[ROW][C]147[/C][C]273.4[/C][C]266.897[/C][C]267.342[/C][C]-0.44437[/C][C]6.5027[/C][/ROW]
[ROW][C]148[/C][C]270.9[/C][C]267.777[/C][C]267.921[/C][C]-0.144072[/C][C]3.12324[/C][/ROW]
[ROW][C]149[/C][C]268.3[/C][C]267.706[/C][C]267.692[/C][C]0.0142609[/C][C]0.594072[/C][/ROW]
[ROW][C]150[/C][C]264.7[/C][C]268.008[/C][C]267.083[/C][C]0.924678[/C][C]-3.30801[/C][/ROW]
[ROW][C]151[/C][C]264.1[/C][C]266.652[/C][C]266.333[/C][C]0.318725[/C][C]-2.55206[/C][/ROW]
[ROW][C]152[/C][C]264.5[/C][C]265.68[/C][C]265.237[/C][C]0.442535[/C][C]-1.18003[/C][/ROW]
[ROW][C]153[/C][C]262.2[/C][C]264.217[/C][C]263.808[/C][C]0.408606[/C][C]-2.01694[/C][/ROW]
[ROW][C]154[/C][C]258.6[/C][C]262.6[/C][C]262.425[/C][C]0.175273[/C][C]-4.00027[/C][/ROW]
[ROW][C]155[/C][C]259.4[/C][C]261.55[/C][C]261.188[/C][C]0.362475[/C][C]-2.14998[/C][/ROW]
[ROW][C]156[/C][C]262.7[/C][C]260.844[/C][C]260.233[/C][C]0.610987[/C][C]1.85568[/C][/ROW]
[ROW][C]157[/C][C]264.9[/C][C]258.949[/C][C]259.537[/C][C]-0.588418[/C][C]5.95092[/C][/ROW]
[ROW][C]158[/C][C]260.5[/C][C]256.911[/C][C]258.992[/C][C]-2.08068[/C][C]3.58901[/C][/ROW]
[ROW][C]159[/C][C]256.4[/C][C]258.206[/C][C]258.65[/C][C]-0.44437[/C][C]-1.80563[/C][/ROW]
[ROW][C]160[/C][C]254.7[/C][C]258.535[/C][C]258.679[/C][C]-0.144072[/C][C]-3.83509[/C][/ROW]
[ROW][C]161[/C][C]254.8[/C][C]259.043[/C][C]259.029[/C][C]0.0142609[/C][C]-4.24343[/C][/ROW]
[ROW][C]162[/C][C]255.3[/C][C]260.441[/C][C]259.517[/C][C]0.924678[/C][C]-5.14134[/C][/ROW]
[ROW][C]163[/C][C]256.8[/C][C]260.69[/C][C]260.371[/C][C]0.318725[/C][C]-3.88956[/C][/ROW]
[ROW][C]164[/C][C]258.7[/C][C]262.355[/C][C]261.913[/C][C]0.442535[/C][C]-3.65503[/C][/ROW]
[ROW][C]165[/C][C]259.8[/C][C]264.488[/C][C]264.079[/C][C]0.408606[/C][C]-4.68777[/C][/ROW]
[ROW][C]166[/C][C]261.7[/C][C]266.863[/C][C]266.688[/C][C]0.175273[/C][C]-5.16277[/C][/ROW]
[ROW][C]167[/C][C]264.7[/C][C]270[/C][C]269.638[/C][C]0.362475[/C][C]-5.29998[/C][/ROW]
[ROW][C]168[/C][C]269.1[/C][C]273.482[/C][C]272.871[/C][C]0.610987[/C][C]-4.38182[/C][/ROW]
[ROW][C]169[/C][C]279[/C][C]275.862[/C][C]276.45[/C][C]-0.588418[/C][C]3.13842[/C][/ROW]
[ROW][C]170[/C][C]283.4[/C][C]278.344[/C][C]280.425[/C][C]-2.08068[/C][C]5.05568[/C][/ROW]
[ROW][C]171[/C][C]285.5[/C][C]284.318[/C][C]284.762[/C][C]-0.44437[/C][C]1.18187[/C][/ROW]
[ROW][C]172[/C][C]288.2[/C][C]289.302[/C][C]289.446[/C][C]-0.144072[/C][C]-1.10176[/C][/ROW]
[ROW][C]173[/C][C]292.1[/C][C]294.589[/C][C]294.575[/C][C]0.0142609[/C][C]-2.48926[/C][/ROW]
[ROW][C]174[/C][C]295.6[/C][C]301.15[/C][C]300.225[/C][C]0.924678[/C][C]-5.54968[/C][/ROW]
[ROW][C]175[/C][C]302.4[/C][C]NA[/C][C]NA[/C][C]0.318725[/C][C]NA[/C][/ROW]
[ROW][C]176[/C][C]308.5[/C][C]NA[/C][C]NA[/C][C]0.442535[/C][C]NA[/C][/ROW]
[ROW][C]177[/C][C]314.1[/C][C]NA[/C][C]NA[/C][C]0.408606[/C][C]NA[/C][/ROW]
[ROW][C]178[/C][C]319.8[/C][C]NA[/C][C]NA[/C][C]0.175273[/C][C]NA[/C][/ROW]
[ROW][C]179[/C][C]329.7[/C][C]NA[/C][C]NA[/C][C]0.362475[/C][C]NA[/C][/ROW]
[ROW][C]180[/C][C]339.7[/C][C]NA[/C][C]NA[/C][C]0.610987[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=234835&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=234835&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
1329.6NANA-0.588418NA
2327.2NANA-2.08068NA
3326.3NANA-0.44437NA
4315.4NANA-0.144072NA
5308.6NANA0.0142609NA
6302.6NANA0.924678NA
7295.6300.785300.4670.318725-5.18539
8291.5296.038295.5960.442535-4.53837
9288.1290.667290.2580.408606-2.56694
10281.1285.088284.9120.175273-3.98777
11282.4280.242279.8790.3624752.15836
12284.9275.6112750.6109879.28901
13274.2269.803270.392-0.5884184.39675
14265.7263.94266.021-2.080681.75985
15259.7261.214261.658-0.44437-1.51396
16253.7257.248257.392-0.144072-3.54759
17249.5253.002252.9870.0142609-3.50176
18244.6248.958248.0330.924678-4.35801
19243243.435243.1170.318725-0.435392
20239.2239.13238.6870.4425350.0699653
21235.7234.95234.5420.4086060.749727
22231.1230.8230.6250.1752730.299727
23226.7227.204226.8420.362475-0.504142
24221.7223.778223.1670.610987-2.07765
25219.4218.974219.562-0.5884180.425918
26214.2213.961216.042-2.080680.239013
27211.7212.185212.629-0.44437-0.484797
28207.7209.264209.408-0.144072-1.56426
29204.7206.477206.4620.0142609-1.77676
30201.2204.591203.6670.924678-3.39134
31199.9201.094200.7750.318725-1.19373
32197.8198.343197.90.442535-0.542535
33195.2195.642195.2330.408606-0.441939
34194.3192.963192.7870.1752731.33723
35192.8190.942190.5790.3624751.85836
36188.5189.123188.5120.610987-0.623487
37183.2185.849186.437-0.588418-2.64908
38181.4182.215184.296-2.08068-0.815154
39180.5181.776182.221-0.44437-1.27646
40180.2180.052180.196-0.1440720.148239
41179.2178.218178.2040.01426090.981572
42177.1177.2176.2750.924678-0.0996776
43174.2174.969174.650.318725-0.768725
44172.1173.851173.4080.442535-1.75087
45171.1172.879172.4710.408606-1.77944
46169.8172.104171.9290.175273-2.30444
47169.5172.146171.7830.362475-2.64581
48165.5172.753172.1420.610987-7.25265
49167.2172.312172.9-0.588418-5.11158
50167.6171.898173.979-2.08068-4.29849
51171.8175.031175.475-0.44437-3.23063
52175.9177.252177.396-0.144072-1.35176
53180179.818179.8040.01426090.181572
54184.9183.65182.7250.9246781.25032
55184.6186.373186.0540.318725-1.77289
56187.6190.305189.8620.442535-2.70503
57191.5194.659194.250.408606-3.15861
58195.5199.304199.1290.175273-3.80444
59201.6204.779204.4170.362475-3.17914
60203.5210.607209.9960.610987-7.10682
61209.1215.416216.004-0.588418-6.31575
62217.1220.357222.438-2.08068-3.25682
63227.6228.66229.104-0.44437-1.0598
64237.2235.91236.054-0.1440721.28991
65245.6243.073243.0580.01426092.52741
66253.2250.975250.050.9246782.22532
67260.5257.065256.7460.3187253.43544
68266.1263.334262.8920.4425352.7658
69273269.292268.8830.4086063.70806
70280.8275274.8250.1752735.79973
71284.4280.871280.5080.3624753.52919
72288.5286.728286.1170.6109871.77235
73284.8290.782291.371-0.588418-5.98242
74288.9293.886295.967-2.08068-4.98599
75299.6299.785300.229-0.44437-0.184797
76307.8303.902304.046-0.1440723.89824
77311.4307.423307.4080.01426093.97741
78322311.454310.5290.92467810.5462
79317.8313.969313.650.3187253.83127
80319.1316.938316.4960.4425352.16163
81322.3319.342318.9330.4086062.95806
82323.1321.192321.0170.1752731.90806
83322.8322.9322.5380.362475-0.0999752
84325324.115323.5040.6109870.884846
85323.2323.503324.092-0.588418-0.303249
86318.8322.373324.454-2.08068-3.57349
87328.2324.01324.454-0.444374.1902
88329.2323.881324.025-0.1440725.31907
89326.5323.218323.2040.01426093.28157
90330.1322.854321.9290.9246787.24616
91323.8320.306319.9870.3187253.49377
92321.8317.976317.5330.4425353.82413
93319.6315.229314.8210.4086064.37056
94315.5311.904311.7290.1752733.59556
95310.7308.8308.4370.3624751.90002
96306.5305.44304.8290.6109871.05985
97295.1300.307300.896-0.588418-5.20742
98288294.815296.896-2.08068-6.81515
99293.9292.251292.696-0.444371.64854
100289.3288.202288.346-0.1440721.09824
101287.4283.91283.8960.01426093.48991
102282.6280.241279.3170.9246782.35866
103276.9275.148274.8290.3187251.75211
104272.7270.905270.4620.4425351.79497
105267.9265.988265.5790.4086061.91223
106262.8260.309260.1330.1752732.49139
107256.6254.821254.4580.3624751.77919
108250.7249.307248.6960.6109871.39318
109243.2242.499243.087-0.5884180.700918
110235.1235.557237.637-2.08068-0.45682
111229.6231.776232.221-0.44437-2.17646
112222.9226.698226.842-0.144072-3.79759
113217.6221.652221.6370.0142609-4.05176
114214.1217.575216.650.924678-3.47468
115210.8212.285211.9670.318725-1.48539
116208207.972207.5290.4425350.0282986
117202.6203.642203.2330.408606-1.04194
118199199.375199.20.175273-0.375273
119195.5195.812195.450.362475-0.312475
120192.1192.478191.8670.610987-0.377654
121189.4187.803188.392-0.5884181.59675
122182.4182.948185.029-2.08068-0.548487
123179.2181.422181.867-0.44437-2.2223
124176.5178.835178.979-0.144072-2.33509
125174176.402176.3880.0142609-2.40176
126171.7175.204174.2790.924678-3.50384
127169.8173.21172.8920.318725-3.41039
128168.3172.884172.4420.442535-4.5842
129166.4173.421173.0130.408606-7.02111
130165.9174.767174.5920.175273-8.86694
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174295.6301.15300.2250.924678-5.54968
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176308.5NANA0.442535NA
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Parameters (Session):
par1 = additive ; par2 = 12 ;
Parameters (R input):
par1 = additive ; par2 = 12 ;
R code (references can be found in the software module):
par2 <- as.numeric(par2)
x <- ts(x,freq=par2)
m <- decompose(x,type=par1)
m$figure
bitmap(file='test1.png')
plot(m)
dev.off()
mylagmax <- length(x)/2
bitmap(file='test2.png')
op <- par(mfrow = c(2,2))
acf(as.numeric(x),lag.max = mylagmax,main='Observed')
acf(as.numeric(m$trend),na.action=na.pass,lag.max = mylagmax,main='Trend')
acf(as.numeric(m$seasonal),na.action=na.pass,lag.max = mylagmax,main='Seasonal')
acf(as.numeric(m$random),na.action=na.pass,lag.max = mylagmax,main='Random')
par(op)
dev.off()
bitmap(file='test3.png')
op <- par(mfrow = c(2,2))
spectrum(as.numeric(x),main='Observed')
spectrum(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
spectrum(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
spectrum(as.numeric(m$random[!is.na(m$random)]),main='Random')
par(op)
dev.off()
bitmap(file='test4.png')
op <- par(mfrow = c(2,2))
cpgram(as.numeric(x),main='Observed')
cpgram(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
cpgram(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
cpgram(as.numeric(m$random[!is.na(m$random)]),main='Random')
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'t',header=TRUE)
a<-table.element(a,'Observations',header=TRUE)
a<-table.element(a,'Fit',header=TRUE)
a<-table.element(a,'Trend',header=TRUE)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,'Random',header=TRUE)
a<-table.row.end(a)
for (i in 1:length(m$trend)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
if (par1 == 'additive') a<-table.element(a,signif(m$trend[i]+m$seasonal[i],6)) else a<-table.element(a,signif(m$trend[i]*m$seasonal[i],6))
a<-table.element(a,signif(m$trend[i],6))
a<-table.element(a,signif(m$seasonal[i],6))
a<-table.element(a,signif(m$random[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')