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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_structuraltimeseries.wasp
Title produced by softwareStructural Time Series Models
Date of computationThu, 01 Dec 2011 13:41:55 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/01/t1322764948fs8znj1x1gcrq8m.htm/, Retrieved Fri, 26 Apr 2024 14:04:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=149942, Retrieved Fri, 26 Apr 2024 14:04:17 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact105
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Structural Time Series Models] [Brutoindex van de...] [2011-12-01 18:41:55] [22ff23eaefab118cb5de5c6132878e2b] [Current]
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Dataseries X:
101,5
100,7
110,6
96,8
100
104,8
86,8
92
100,2
106,6
102,1
93,7
97,6
96,9
105,6
102,8
101,7
104,2
92,7
91,9
106,5
112,3
102,8
96,5
101
98,9
105,1
103
99
104,3
94,6
90,4
108,9
111,4
100,8
102,5
98,2
98,7
113,3
104,6
99,3
111,8
97,3
97,7
115,6
111,9
107
107,1
100,6
99,2
108,4
103
99,8
115
90,8
95,9
114,4
108,2
112,6
109,1
105
105
118,5
103,7
112,5
116,6
96,6
101,9
116,5
119,3
115,4
108,5
111,5
108,8
121,8
109,6
112,2
119,6
104,1
105,3
115
124,1
116,8
107,5
115,6
116,2
116,3
119
111,9
118,6
106,9
103,2
118,6
118,7
102,8
100,6
94,9
94,5
102,9
95,3
92,5
102,7
91,5
89,5
104,2
105,2
99
95,5
90,5
96,1
113
101,9
101,4
113,6
96,6
97,8
114,9
112,5
108,4
107
103,5
107,5
122,3




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=149942&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=149942&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=149942&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'Gwilym Jenkins' @ jenkins.wessa.net







Structural Time Series Model
tObservedLevelSlopeSeasonalStand. Residuals
1101.5101.5000
2100.7101.110914728874-0.00798407021648019-0.410914728873969-0.190866113760831
3110.6105.8016492683740.2949482727085424.798350731625651.77793341107671
496.8102.8197054122020.103397965374441-6.01970541220163-1.5416659996985
5100100.9943120243670.0254652812002814-0.994312024367041-1.02250675877947
6104.8102.0224962075920.05144573792285772.777503792408260.549340851606076
786.896.2219196608434-0.0556418670967111-9.4219196608434-3.22596596120342
89292.9004685520394-0.106360429329745-0.900468552039409-1.80068872754125
9100.294.8999815840349-0.07458766882482495.30001841596511.15983349891299
10106.6100.1668965911910.007415592976613476.433103408809132.93856542931115
11102.1102.4267980394190.0425499719507616-0.3267980394185521.23833291569953
1293.799.5551425041882-0.0030242499890409-5.85514250418821-1.6017280808444
1397.698.36015729843980.0192207383707748-0.760157298439834-0.689941536140337
1496.998.41032601764140.0190144529994933-1.510326017641370.0176710012643789
15105.698.4228269710780.01891200877938367.17717302892199-0.00338260617742581
16102.8102.1495368159640.1183159190680030.6504631840361441.87823197323937
17101.7102.7371439269520.131279290580172-1.037143926952380.245195337284679
18104.2100.6930933618170.08050007271576063.50690663818281-1.17203087967141
1992.7100.3123519431070.072033521915747-7.61235194310654-0.252391665613037
2091.998.36532146818690.0423792472164244-6.46532146818689-1.11126900169209
21106.5100.3267061892280.06614638492938356.173293810771551.05791294141102
22112.3103.1161304394380.09476782793539659.183869560561561.50096287505103
23102.8103.0060193235460.0931434813805423-0.20601932354639-0.112826285006804
2496.5102.5261183823420.0907785496705155-6.02611838234246-0.315953859966049
25101102.3667261103950.0906349717090661-1.36672611039506-0.138693072819252
2698.9102.0715930337710.0894645828975912-3.1715930337707-0.212086602262207
27105.1101.2649397773050.0807086000390793.83506022269535-0.480451269886664
28103101.3317506165730.08048875087221711.66824938342685-0.00733288449571652
2999100.1982159257290.0578787074467842-1.198215925729-0.643589053485383
30104.399.93623245414260.05201792195733244.36376754585745-0.172067500134939
3194.6100.605274061060.0620245850144505-6.005274061059980.336166638341445
3290.4100.088759571230.0541883193561983-9.68875957122985-0.317472545654792
33108.9101.6097996883020.07021147839082927.290200311697850.80720541355292
34111.4102.1239491186960.07396384586953799.276050881303990.244406860600834
35100.8101.6732640215340.0707450079516713-0.873264021533966-0.288786892639873
36102.5104.1009204528950.0809060269361568-1.600920452894831.29745271441448
3798.2102.7593164945220.0755082190508372-4.55931649452203-0.782096056914791
3898.7101.8563881510570.0702886950493028-3.15638815105681-0.534481228499955
39113.3104.4895959026440.09191107869844788.810404097356211.38492314633933
40104.6104.213080920270.08761553706669360.386919079730323-0.197520279701741
4199.3102.6953346207240.0655297969364819-3.39533462072433-0.860968621095262
42111.8104.3527564340010.08825369230915067.447243565998990.859531697625339
4397.3104.3962044480060.0876519977743917-7.09620444800587-0.0243870729635218
4497.7105.959710150440.104972891973451-8.259710150440010.807957335990527
45115.6107.3628230089040.1175583841009058.23717699109580.712761046831337
46111.9105.9685169277190.1059510706118735.9314830722814-0.830937616285717
47107106.7993882313920.1102938432594960.2006117686081830.398474158575944
48107.1107.429725672920.112874399107033-0.3297256729200140.285714868423134
49100.6106.771061116790.10909180995271-6.17106111679006-0.423037384918288
5099.2105.4769655505270.100803132649058-6.27696555052726-0.765970306194247
51108.4102.7473302006110.07911238811784755.65266979938889-1.53608731243452
52103101.9334609072780.07058751596267451.06653909272196-0.482569184515659
5399.8102.7385195447330.0786188074351042-2.938519544733140.396789374787888
54115105.0092881539820.1037590546206929.990711846018411.18824778731402
5590.8103.2583283531770.0831495625340426-12.4583283531769-1.01014230562517
5695.9103.4166539013260.0839066863203075-7.516653901326040.041109944986303
57114.4104.3013453065420.090844420865273310.09865469345850.439003281040356
58108.2103.9424535733620.08759735529972354.25754642663777-0.246832973818508
59112.6107.0669834072850.1059421836678015.533016592715061.66719885809041
60109.1108.2407046009390.1116778470935070.8592953990610660.585860173333068
61105108.9704734682950.114991171958746-3.970473468294750.338561019956043
62105109.3412123190970.116523828190554-4.341212319097070.139677020287179
63118.5110.764968816120.1257543380330067.735031183879840.711504428207517
64103.7108.3387453317690.104768687086392-4.63874533176943-1.38558461298983
65112.5110.8867475828120.1270722768942561.613252417188141.32608982103777
66116.6109.4727520102620.1123744715091117.12724798973751-0.837904169637812
6796.6109.1524577686850.108317188469096-12.5524577686854-0.235916191864126
68101.9109.5178066868350.110562227955183-7.617806686835390.140528746782067
69116.5108.7473260423640.1036890127337597.75267395763564-0.482619248414312
70119.3111.8946453087750.1244287002515127.405354691225421.6689489721079
71115.4112.2163781869940.1256126204217483.183621813006140.10822009631475
72108.5110.7624317334740.116868235744461-2.26243173347433-0.866007892667615
73111.5112.4075138179310.125286903503982-0.907513817931490.836842674610217
74108.8113.2241891278180.129362562925236-4.424189127817630.377879384196783
75121.8113.3669268508160.1294502912596018.433073149183610.00729489519162625
76109.6114.1610265012950.134298243731241-4.561026501295020.361962886688326
77112.2112.6043861081220.120964939881822-0.404386108121774-0.920615418437235
78119.6112.1811087656870.116516142004727.41889123431271-0.296595234425069
79104.1113.9583719061220.129965622467148-9.858371906121780.906606389332122
80105.3114.1381959594180.13034930991225-8.838195959417630.0272664052496418
81115112.2694196142380.1161908515943832.7305803857619-1.09479043792397
82124.1113.5387161990160.12359013837498510.56128380098370.632000765247875
83116.8113.751302025740.1241114229585273.048697974260310.048790116003608
84107.5112.7578128619060.117934958912487-5.25781286190578-0.61252779132921
85115.6114.1875673453790.125128739875811.412432654620550.718381811177091
86116.2117.0322417765970.140665206192519-0.8322417765968741.48744397952436
87116.3114.1497660761530.1221416011787832.15023392384664-1.65132379675596
88119116.7509186045340.1384932954296062.249081395465961.35284093683125
89111.9115.7326480448810.130416568937675-3.83264804488106-0.631134446482959
90118.6114.1197113611280.1178987935268244.48028863887171-0.951706313954253
91106.9114.6649026008480.120950713725183-7.764902600847950.233507565036805
92103.2113.5010184319760.112103796080564-10.3010184319762-0.702962717764913
93118.6114.4578269323270.1175786414259884.142173067672530.462610278101363
94118.7112.2952933988090.1038228394990886.40470660119088-1.24950910738666
95102.8107.0305474862340.0735044595963799-4.23054748623386-2.94267042386132
96100.6105.9912546205480.0674854046597414-5.39125462054799-0.60985240104681
9794.9101.4520374784050.0427949452633875-6.55203747840549-2.52327019128589
9894.597.64110366583580.0216341741921853-3.14110366583582-2.10915295992929
99102.998.43421013819030.02606871575723244.465789861809760.421876497796053
10095.396.13961359495160.0120353347412972-0.839613594951578-1.26829203474018
10192.595.30290152202380.00668948303700552-2.80290152202383-0.463787779609454
102102.796.21236288447340.01249564939586726.487637115526560.493469157964951
10391.597.21538172873460.0188459165383239-5.715381728734580.541794268442599
10489.598.09622609143440.0242284415681362-8.596226091434370.471859895716036
105104.297.75965433234890.02207255236752586.44034566765112-0.197638101411453
106105.296.42131163640710.01435715140423428.77868836359291-0.745551806446163
1079997.77843060154760.02161335490901351.221569398452410.73601819989275
10895.597.76040174897560.0214060003585525-2.26040174897555-0.0217273689041073
10990.596.5453154236330.0149991037274387-6.04531542363301-0.677470386988509
11096.197.20972224971580.0184103905052445-1.109722249715840.355626074200345
111113101.1270002308310.039505356335380411.87299976916932.13394577122698
112101.9102.575934155220.0473981626672908-0.6759341552201060.771119958428032
113101.4103.8471991315740.054450543314066-2.447199131574010.669525001261498
114113.6105.6687485320170.06478762659458887.931251467982730.966893942921447
11596.6104.9049711777480.0599513712253673-8.30497117774795-0.453553625944709
11697.8105.1183323530010.0608298282890074-7.318332353000540.0840194374506019
117114.9106.2825435114380.06694812928675818.617456488561890.604587808434621
118112.5105.8628513425180.06435090727270066.6371486574823-0.266741148533286
119108.4106.2286723297490.06590344026454932.171327670251250.165269877745043
120107107.4828656776630.071872003598929-0.4828656776626380.651408789763586
121103.5109.2620849675750.0803699953960795-5.762084967575340.935748699062502
122107.5110.5844984168570.0865957836616631-3.084498416857090.68050614768621
123122.3111.369230394690.090161194531659510.93076960530980.382373210408552

\begin{tabular}{lllllllll}
\hline
Structural Time Series Model \tabularnewline
t & Observed & Level & Slope & Seasonal & Stand. Residuals \tabularnewline
1 & 101.5 & 101.5 & 0 & 0 & 0 \tabularnewline
2 & 100.7 & 101.110914728874 & -0.00798407021648019 & -0.410914728873969 & -0.190866113760831 \tabularnewline
3 & 110.6 & 105.801649268374 & 0.294948272708542 & 4.79835073162565 & 1.77793341107671 \tabularnewline
4 & 96.8 & 102.819705412202 & 0.103397965374441 & -6.01970541220163 & -1.5416659996985 \tabularnewline
5 & 100 & 100.994312024367 & 0.0254652812002814 & -0.994312024367041 & -1.02250675877947 \tabularnewline
6 & 104.8 & 102.022496207592 & 0.0514457379228577 & 2.77750379240826 & 0.549340851606076 \tabularnewline
7 & 86.8 & 96.2219196608434 & -0.0556418670967111 & -9.4219196608434 & -3.22596596120342 \tabularnewline
8 & 92 & 92.9004685520394 & -0.106360429329745 & -0.900468552039409 & -1.80068872754125 \tabularnewline
9 & 100.2 & 94.8999815840349 & -0.0745876688248249 & 5.3000184159651 & 1.15983349891299 \tabularnewline
10 & 106.6 & 100.166896591191 & 0.00741559297661347 & 6.43310340880913 & 2.93856542931115 \tabularnewline
11 & 102.1 & 102.426798039419 & 0.0425499719507616 & -0.326798039418552 & 1.23833291569953 \tabularnewline
12 & 93.7 & 99.5551425041882 & -0.0030242499890409 & -5.85514250418821 & -1.6017280808444 \tabularnewline
13 & 97.6 & 98.3601572984398 & 0.0192207383707748 & -0.760157298439834 & -0.689941536140337 \tabularnewline
14 & 96.9 & 98.4103260176414 & 0.0190144529994933 & -1.51032601764137 & 0.0176710012643789 \tabularnewline
15 & 105.6 & 98.422826971078 & 0.0189120087793836 & 7.17717302892199 & -0.00338260617742581 \tabularnewline
16 & 102.8 & 102.149536815964 & 0.118315919068003 & 0.650463184036144 & 1.87823197323937 \tabularnewline
17 & 101.7 & 102.737143926952 & 0.131279290580172 & -1.03714392695238 & 0.245195337284679 \tabularnewline
18 & 104.2 & 100.693093361817 & 0.0805000727157606 & 3.50690663818281 & -1.17203087967141 \tabularnewline
19 & 92.7 & 100.312351943107 & 0.072033521915747 & -7.61235194310654 & -0.252391665613037 \tabularnewline
20 & 91.9 & 98.3653214681869 & 0.0423792472164244 & -6.46532146818689 & -1.11126900169209 \tabularnewline
21 & 106.5 & 100.326706189228 & 0.0661463849293835 & 6.17329381077155 & 1.05791294141102 \tabularnewline
22 & 112.3 & 103.116130439438 & 0.0947678279353965 & 9.18386956056156 & 1.50096287505103 \tabularnewline
23 & 102.8 & 103.006019323546 & 0.0931434813805423 & -0.20601932354639 & -0.112826285006804 \tabularnewline
24 & 96.5 & 102.526118382342 & 0.0907785496705155 & -6.02611838234246 & -0.315953859966049 \tabularnewline
25 & 101 & 102.366726110395 & 0.0906349717090661 & -1.36672611039506 & -0.138693072819252 \tabularnewline
26 & 98.9 & 102.071593033771 & 0.0894645828975912 & -3.1715930337707 & -0.212086602262207 \tabularnewline
27 & 105.1 & 101.264939777305 & 0.080708600039079 & 3.83506022269535 & -0.480451269886664 \tabularnewline
28 & 103 & 101.331750616573 & 0.0804887508722171 & 1.66824938342685 & -0.00733288449571652 \tabularnewline
29 & 99 & 100.198215925729 & 0.0578787074467842 & -1.198215925729 & -0.643589053485383 \tabularnewline
30 & 104.3 & 99.9362324541426 & 0.0520179219573324 & 4.36376754585745 & -0.172067500134939 \tabularnewline
31 & 94.6 & 100.60527406106 & 0.0620245850144505 & -6.00527406105998 & 0.336166638341445 \tabularnewline
32 & 90.4 & 100.08875957123 & 0.0541883193561983 & -9.68875957122985 & -0.317472545654792 \tabularnewline
33 & 108.9 & 101.609799688302 & 0.0702114783908292 & 7.29020031169785 & 0.80720541355292 \tabularnewline
34 & 111.4 & 102.123949118696 & 0.0739638458695379 & 9.27605088130399 & 0.244406860600834 \tabularnewline
35 & 100.8 & 101.673264021534 & 0.0707450079516713 & -0.873264021533966 & -0.288786892639873 \tabularnewline
36 & 102.5 & 104.100920452895 & 0.0809060269361568 & -1.60092045289483 & 1.29745271441448 \tabularnewline
37 & 98.2 & 102.759316494522 & 0.0755082190508372 & -4.55931649452203 & -0.782096056914791 \tabularnewline
38 & 98.7 & 101.856388151057 & 0.0702886950493028 & -3.15638815105681 & -0.534481228499955 \tabularnewline
39 & 113.3 & 104.489595902644 & 0.0919110786984478 & 8.81040409735621 & 1.38492314633933 \tabularnewline
40 & 104.6 & 104.21308092027 & 0.0876155370666936 & 0.386919079730323 & -0.197520279701741 \tabularnewline
41 & 99.3 & 102.695334620724 & 0.0655297969364819 & -3.39533462072433 & -0.860968621095262 \tabularnewline
42 & 111.8 & 104.352756434001 & 0.0882536923091506 & 7.44724356599899 & 0.859531697625339 \tabularnewline
43 & 97.3 & 104.396204448006 & 0.0876519977743917 & -7.09620444800587 & -0.0243870729635218 \tabularnewline
44 & 97.7 & 105.95971015044 & 0.104972891973451 & -8.25971015044001 & 0.807957335990527 \tabularnewline
45 & 115.6 & 107.362823008904 & 0.117558384100905 & 8.2371769910958 & 0.712761046831337 \tabularnewline
46 & 111.9 & 105.968516927719 & 0.105951070611873 & 5.9314830722814 & -0.830937616285717 \tabularnewline
47 & 107 & 106.799388231392 & 0.110293843259496 & 0.200611768608183 & 0.398474158575944 \tabularnewline
48 & 107.1 & 107.42972567292 & 0.112874399107033 & -0.329725672920014 & 0.285714868423134 \tabularnewline
49 & 100.6 & 106.77106111679 & 0.10909180995271 & -6.17106111679006 & -0.423037384918288 \tabularnewline
50 & 99.2 & 105.476965550527 & 0.100803132649058 & -6.27696555052726 & -0.765970306194247 \tabularnewline
51 & 108.4 & 102.747330200611 & 0.0791123881178475 & 5.65266979938889 & -1.53608731243452 \tabularnewline
52 & 103 & 101.933460907278 & 0.0705875159626745 & 1.06653909272196 & -0.482569184515659 \tabularnewline
53 & 99.8 & 102.738519544733 & 0.0786188074351042 & -2.93851954473314 & 0.396789374787888 \tabularnewline
54 & 115 & 105.009288153982 & 0.103759054620692 & 9.99071184601841 & 1.18824778731402 \tabularnewline
55 & 90.8 & 103.258328353177 & 0.0831495625340426 & -12.4583283531769 & -1.01014230562517 \tabularnewline
56 & 95.9 & 103.416653901326 & 0.0839066863203075 & -7.51665390132604 & 0.041109944986303 \tabularnewline
57 & 114.4 & 104.301345306542 & 0.0908444208652733 & 10.0986546934585 & 0.439003281040356 \tabularnewline
58 & 108.2 & 103.942453573362 & 0.0875973552997235 & 4.25754642663777 & -0.246832973818508 \tabularnewline
59 & 112.6 & 107.066983407285 & 0.105942183667801 & 5.53301659271506 & 1.66719885809041 \tabularnewline
60 & 109.1 & 108.240704600939 & 0.111677847093507 & 0.859295399061066 & 0.585860173333068 \tabularnewline
61 & 105 & 108.970473468295 & 0.114991171958746 & -3.97047346829475 & 0.338561019956043 \tabularnewline
62 & 105 & 109.341212319097 & 0.116523828190554 & -4.34121231909707 & 0.139677020287179 \tabularnewline
63 & 118.5 & 110.76496881612 & 0.125754338033006 & 7.73503118387984 & 0.711504428207517 \tabularnewline
64 & 103.7 & 108.338745331769 & 0.104768687086392 & -4.63874533176943 & -1.38558461298983 \tabularnewline
65 & 112.5 & 110.886747582812 & 0.127072276894256 & 1.61325241718814 & 1.32608982103777 \tabularnewline
66 & 116.6 & 109.472752010262 & 0.112374471509111 & 7.12724798973751 & -0.837904169637812 \tabularnewline
67 & 96.6 & 109.152457768685 & 0.108317188469096 & -12.5524577686854 & -0.235916191864126 \tabularnewline
68 & 101.9 & 109.517806686835 & 0.110562227955183 & -7.61780668683539 & 0.140528746782067 \tabularnewline
69 & 116.5 & 108.747326042364 & 0.103689012733759 & 7.75267395763564 & -0.482619248414312 \tabularnewline
70 & 119.3 & 111.894645308775 & 0.124428700251512 & 7.40535469122542 & 1.6689489721079 \tabularnewline
71 & 115.4 & 112.216378186994 & 0.125612620421748 & 3.18362181300614 & 0.10822009631475 \tabularnewline
72 & 108.5 & 110.762431733474 & 0.116868235744461 & -2.26243173347433 & -0.866007892667615 \tabularnewline
73 & 111.5 & 112.407513817931 & 0.125286903503982 & -0.90751381793149 & 0.836842674610217 \tabularnewline
74 & 108.8 & 113.224189127818 & 0.129362562925236 & -4.42418912781763 & 0.377879384196783 \tabularnewline
75 & 121.8 & 113.366926850816 & 0.129450291259601 & 8.43307314918361 & 0.00729489519162625 \tabularnewline
76 & 109.6 & 114.161026501295 & 0.134298243731241 & -4.56102650129502 & 0.361962886688326 \tabularnewline
77 & 112.2 & 112.604386108122 & 0.120964939881822 & -0.404386108121774 & -0.920615418437235 \tabularnewline
78 & 119.6 & 112.181108765687 & 0.11651614200472 & 7.41889123431271 & -0.296595234425069 \tabularnewline
79 & 104.1 & 113.958371906122 & 0.129965622467148 & -9.85837190612178 & 0.906606389332122 \tabularnewline
80 & 105.3 & 114.138195959418 & 0.13034930991225 & -8.83819595941763 & 0.0272664052496418 \tabularnewline
81 & 115 & 112.269419614238 & 0.116190851594383 & 2.7305803857619 & -1.09479043792397 \tabularnewline
82 & 124.1 & 113.538716199016 & 0.123590138374985 & 10.5612838009837 & 0.632000765247875 \tabularnewline
83 & 116.8 & 113.75130202574 & 0.124111422958527 & 3.04869797426031 & 0.048790116003608 \tabularnewline
84 & 107.5 & 112.757812861906 & 0.117934958912487 & -5.25781286190578 & -0.61252779132921 \tabularnewline
85 & 115.6 & 114.187567345379 & 0.12512873987581 & 1.41243265462055 & 0.718381811177091 \tabularnewline
86 & 116.2 & 117.032241776597 & 0.140665206192519 & -0.832241776596874 & 1.48744397952436 \tabularnewline
87 & 116.3 & 114.149766076153 & 0.122141601178783 & 2.15023392384664 & -1.65132379675596 \tabularnewline
88 & 119 & 116.750918604534 & 0.138493295429606 & 2.24908139546596 & 1.35284093683125 \tabularnewline
89 & 111.9 & 115.732648044881 & 0.130416568937675 & -3.83264804488106 & -0.631134446482959 \tabularnewline
90 & 118.6 & 114.119711361128 & 0.117898793526824 & 4.48028863887171 & -0.951706313954253 \tabularnewline
91 & 106.9 & 114.664902600848 & 0.120950713725183 & -7.76490260084795 & 0.233507565036805 \tabularnewline
92 & 103.2 & 113.501018431976 & 0.112103796080564 & -10.3010184319762 & -0.702962717764913 \tabularnewline
93 & 118.6 & 114.457826932327 & 0.117578641425988 & 4.14217306767253 & 0.462610278101363 \tabularnewline
94 & 118.7 & 112.295293398809 & 0.103822839499088 & 6.40470660119088 & -1.24950910738666 \tabularnewline
95 & 102.8 & 107.030547486234 & 0.0735044595963799 & -4.23054748623386 & -2.94267042386132 \tabularnewline
96 & 100.6 & 105.991254620548 & 0.0674854046597414 & -5.39125462054799 & -0.60985240104681 \tabularnewline
97 & 94.9 & 101.452037478405 & 0.0427949452633875 & -6.55203747840549 & -2.52327019128589 \tabularnewline
98 & 94.5 & 97.6411036658358 & 0.0216341741921853 & -3.14110366583582 & -2.10915295992929 \tabularnewline
99 & 102.9 & 98.4342101381903 & 0.0260687157572324 & 4.46578986180976 & 0.421876497796053 \tabularnewline
100 & 95.3 & 96.1396135949516 & 0.0120353347412972 & -0.839613594951578 & -1.26829203474018 \tabularnewline
101 & 92.5 & 95.3029015220238 & 0.00668948303700552 & -2.80290152202383 & -0.463787779609454 \tabularnewline
102 & 102.7 & 96.2123628844734 & 0.0124956493958672 & 6.48763711552656 & 0.493469157964951 \tabularnewline
103 & 91.5 & 97.2153817287346 & 0.0188459165383239 & -5.71538172873458 & 0.541794268442599 \tabularnewline
104 & 89.5 & 98.0962260914344 & 0.0242284415681362 & -8.59622609143437 & 0.471859895716036 \tabularnewline
105 & 104.2 & 97.7596543323489 & 0.0220725523675258 & 6.44034566765112 & -0.197638101411453 \tabularnewline
106 & 105.2 & 96.4213116364071 & 0.0143571514042342 & 8.77868836359291 & -0.745551806446163 \tabularnewline
107 & 99 & 97.7784306015476 & 0.0216133549090135 & 1.22156939845241 & 0.73601819989275 \tabularnewline
108 & 95.5 & 97.7604017489756 & 0.0214060003585525 & -2.26040174897555 & -0.0217273689041073 \tabularnewline
109 & 90.5 & 96.545315423633 & 0.0149991037274387 & -6.04531542363301 & -0.677470386988509 \tabularnewline
110 & 96.1 & 97.2097222497158 & 0.0184103905052445 & -1.10972224971584 & 0.355626074200345 \tabularnewline
111 & 113 & 101.127000230831 & 0.0395053563353804 & 11.8729997691693 & 2.13394577122698 \tabularnewline
112 & 101.9 & 102.57593415522 & 0.0473981626672908 & -0.675934155220106 & 0.771119958428032 \tabularnewline
113 & 101.4 & 103.847199131574 & 0.054450543314066 & -2.44719913157401 & 0.669525001261498 \tabularnewline
114 & 113.6 & 105.668748532017 & 0.0647876265945888 & 7.93125146798273 & 0.966893942921447 \tabularnewline
115 & 96.6 & 104.904971177748 & 0.0599513712253673 & -8.30497117774795 & -0.453553625944709 \tabularnewline
116 & 97.8 & 105.118332353001 & 0.0608298282890074 & -7.31833235300054 & 0.0840194374506019 \tabularnewline
117 & 114.9 & 106.282543511438 & 0.0669481292867581 & 8.61745648856189 & 0.604587808434621 \tabularnewline
118 & 112.5 & 105.862851342518 & 0.0643509072727006 & 6.6371486574823 & -0.266741148533286 \tabularnewline
119 & 108.4 & 106.228672329749 & 0.0659034402645493 & 2.17132767025125 & 0.165269877745043 \tabularnewline
120 & 107 & 107.482865677663 & 0.071872003598929 & -0.482865677662638 & 0.651408789763586 \tabularnewline
121 & 103.5 & 109.262084967575 & 0.0803699953960795 & -5.76208496757534 & 0.935748699062502 \tabularnewline
122 & 107.5 & 110.584498416857 & 0.0865957836616631 & -3.08449841685709 & 0.68050614768621 \tabularnewline
123 & 122.3 & 111.36923039469 & 0.0901611945316595 & 10.9307696053098 & 0.382373210408552 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=149942&T=1

[TABLE]
[ROW][C]Structural Time Series Model[/C][/ROW]
[ROW][C]t[/C][C]Observed[/C][C]Level[/C][C]Slope[/C][C]Seasonal[/C][C]Stand. Residuals[/C][/ROW]
[ROW][C]1[/C][C]101.5[/C][C]101.5[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]100.7[/C][C]101.110914728874[/C][C]-0.00798407021648019[/C][C]-0.410914728873969[/C][C]-0.190866113760831[/C][/ROW]
[ROW][C]3[/C][C]110.6[/C][C]105.801649268374[/C][C]0.294948272708542[/C][C]4.79835073162565[/C][C]1.77793341107671[/C][/ROW]
[ROW][C]4[/C][C]96.8[/C][C]102.819705412202[/C][C]0.103397965374441[/C][C]-6.01970541220163[/C][C]-1.5416659996985[/C][/ROW]
[ROW][C]5[/C][C]100[/C][C]100.994312024367[/C][C]0.0254652812002814[/C][C]-0.994312024367041[/C][C]-1.02250675877947[/C][/ROW]
[ROW][C]6[/C][C]104.8[/C][C]102.022496207592[/C][C]0.0514457379228577[/C][C]2.77750379240826[/C][C]0.549340851606076[/C][/ROW]
[ROW][C]7[/C][C]86.8[/C][C]96.2219196608434[/C][C]-0.0556418670967111[/C][C]-9.4219196608434[/C][C]-3.22596596120342[/C][/ROW]
[ROW][C]8[/C][C]92[/C][C]92.9004685520394[/C][C]-0.106360429329745[/C][C]-0.900468552039409[/C][C]-1.80068872754125[/C][/ROW]
[ROW][C]9[/C][C]100.2[/C][C]94.8999815840349[/C][C]-0.0745876688248249[/C][C]5.3000184159651[/C][C]1.15983349891299[/C][/ROW]
[ROW][C]10[/C][C]106.6[/C][C]100.166896591191[/C][C]0.00741559297661347[/C][C]6.43310340880913[/C][C]2.93856542931115[/C][/ROW]
[ROW][C]11[/C][C]102.1[/C][C]102.426798039419[/C][C]0.0425499719507616[/C][C]-0.326798039418552[/C][C]1.23833291569953[/C][/ROW]
[ROW][C]12[/C][C]93.7[/C][C]99.5551425041882[/C][C]-0.0030242499890409[/C][C]-5.85514250418821[/C][C]-1.6017280808444[/C][/ROW]
[ROW][C]13[/C][C]97.6[/C][C]98.3601572984398[/C][C]0.0192207383707748[/C][C]-0.760157298439834[/C][C]-0.689941536140337[/C][/ROW]
[ROW][C]14[/C][C]96.9[/C][C]98.4103260176414[/C][C]0.0190144529994933[/C][C]-1.51032601764137[/C][C]0.0176710012643789[/C][/ROW]
[ROW][C]15[/C][C]105.6[/C][C]98.422826971078[/C][C]0.0189120087793836[/C][C]7.17717302892199[/C][C]-0.00338260617742581[/C][/ROW]
[ROW][C]16[/C][C]102.8[/C][C]102.149536815964[/C][C]0.118315919068003[/C][C]0.650463184036144[/C][C]1.87823197323937[/C][/ROW]
[ROW][C]17[/C][C]101.7[/C][C]102.737143926952[/C][C]0.131279290580172[/C][C]-1.03714392695238[/C][C]0.245195337284679[/C][/ROW]
[ROW][C]18[/C][C]104.2[/C][C]100.693093361817[/C][C]0.0805000727157606[/C][C]3.50690663818281[/C][C]-1.17203087967141[/C][/ROW]
[ROW][C]19[/C][C]92.7[/C][C]100.312351943107[/C][C]0.072033521915747[/C][C]-7.61235194310654[/C][C]-0.252391665613037[/C][/ROW]
[ROW][C]20[/C][C]91.9[/C][C]98.3653214681869[/C][C]0.0423792472164244[/C][C]-6.46532146818689[/C][C]-1.11126900169209[/C][/ROW]
[ROW][C]21[/C][C]106.5[/C][C]100.326706189228[/C][C]0.0661463849293835[/C][C]6.17329381077155[/C][C]1.05791294141102[/C][/ROW]
[ROW][C]22[/C][C]112.3[/C][C]103.116130439438[/C][C]0.0947678279353965[/C][C]9.18386956056156[/C][C]1.50096287505103[/C][/ROW]
[ROW][C]23[/C][C]102.8[/C][C]103.006019323546[/C][C]0.0931434813805423[/C][C]-0.20601932354639[/C][C]-0.112826285006804[/C][/ROW]
[ROW][C]24[/C][C]96.5[/C][C]102.526118382342[/C][C]0.0907785496705155[/C][C]-6.02611838234246[/C][C]-0.315953859966049[/C][/ROW]
[ROW][C]25[/C][C]101[/C][C]102.366726110395[/C][C]0.0906349717090661[/C][C]-1.36672611039506[/C][C]-0.138693072819252[/C][/ROW]
[ROW][C]26[/C][C]98.9[/C][C]102.071593033771[/C][C]0.0894645828975912[/C][C]-3.1715930337707[/C][C]-0.212086602262207[/C][/ROW]
[ROW][C]27[/C][C]105.1[/C][C]101.264939777305[/C][C]0.080708600039079[/C][C]3.83506022269535[/C][C]-0.480451269886664[/C][/ROW]
[ROW][C]28[/C][C]103[/C][C]101.331750616573[/C][C]0.0804887508722171[/C][C]1.66824938342685[/C][C]-0.00733288449571652[/C][/ROW]
[ROW][C]29[/C][C]99[/C][C]100.198215925729[/C][C]0.0578787074467842[/C][C]-1.198215925729[/C][C]-0.643589053485383[/C][/ROW]
[ROW][C]30[/C][C]104.3[/C][C]99.9362324541426[/C][C]0.0520179219573324[/C][C]4.36376754585745[/C][C]-0.172067500134939[/C][/ROW]
[ROW][C]31[/C][C]94.6[/C][C]100.60527406106[/C][C]0.0620245850144505[/C][C]-6.00527406105998[/C][C]0.336166638341445[/C][/ROW]
[ROW][C]32[/C][C]90.4[/C][C]100.08875957123[/C][C]0.0541883193561983[/C][C]-9.68875957122985[/C][C]-0.317472545654792[/C][/ROW]
[ROW][C]33[/C][C]108.9[/C][C]101.609799688302[/C][C]0.0702114783908292[/C][C]7.29020031169785[/C][C]0.80720541355292[/C][/ROW]
[ROW][C]34[/C][C]111.4[/C][C]102.123949118696[/C][C]0.0739638458695379[/C][C]9.27605088130399[/C][C]0.244406860600834[/C][/ROW]
[ROW][C]35[/C][C]100.8[/C][C]101.673264021534[/C][C]0.0707450079516713[/C][C]-0.873264021533966[/C][C]-0.288786892639873[/C][/ROW]
[ROW][C]36[/C][C]102.5[/C][C]104.100920452895[/C][C]0.0809060269361568[/C][C]-1.60092045289483[/C][C]1.29745271441448[/C][/ROW]
[ROW][C]37[/C][C]98.2[/C][C]102.759316494522[/C][C]0.0755082190508372[/C][C]-4.55931649452203[/C][C]-0.782096056914791[/C][/ROW]
[ROW][C]38[/C][C]98.7[/C][C]101.856388151057[/C][C]0.0702886950493028[/C][C]-3.15638815105681[/C][C]-0.534481228499955[/C][/ROW]
[ROW][C]39[/C][C]113.3[/C][C]104.489595902644[/C][C]0.0919110786984478[/C][C]8.81040409735621[/C][C]1.38492314633933[/C][/ROW]
[ROW][C]40[/C][C]104.6[/C][C]104.21308092027[/C][C]0.0876155370666936[/C][C]0.386919079730323[/C][C]-0.197520279701741[/C][/ROW]
[ROW][C]41[/C][C]99.3[/C][C]102.695334620724[/C][C]0.0655297969364819[/C][C]-3.39533462072433[/C][C]-0.860968621095262[/C][/ROW]
[ROW][C]42[/C][C]111.8[/C][C]104.352756434001[/C][C]0.0882536923091506[/C][C]7.44724356599899[/C][C]0.859531697625339[/C][/ROW]
[ROW][C]43[/C][C]97.3[/C][C]104.396204448006[/C][C]0.0876519977743917[/C][C]-7.09620444800587[/C][C]-0.0243870729635218[/C][/ROW]
[ROW][C]44[/C][C]97.7[/C][C]105.95971015044[/C][C]0.104972891973451[/C][C]-8.25971015044001[/C][C]0.807957335990527[/C][/ROW]
[ROW][C]45[/C][C]115.6[/C][C]107.362823008904[/C][C]0.117558384100905[/C][C]8.2371769910958[/C][C]0.712761046831337[/C][/ROW]
[ROW][C]46[/C][C]111.9[/C][C]105.968516927719[/C][C]0.105951070611873[/C][C]5.9314830722814[/C][C]-0.830937616285717[/C][/ROW]
[ROW][C]47[/C][C]107[/C][C]106.799388231392[/C][C]0.110293843259496[/C][C]0.200611768608183[/C][C]0.398474158575944[/C][/ROW]
[ROW][C]48[/C][C]107.1[/C][C]107.42972567292[/C][C]0.112874399107033[/C][C]-0.329725672920014[/C][C]0.285714868423134[/C][/ROW]
[ROW][C]49[/C][C]100.6[/C][C]106.77106111679[/C][C]0.10909180995271[/C][C]-6.17106111679006[/C][C]-0.423037384918288[/C][/ROW]
[ROW][C]50[/C][C]99.2[/C][C]105.476965550527[/C][C]0.100803132649058[/C][C]-6.27696555052726[/C][C]-0.765970306194247[/C][/ROW]
[ROW][C]51[/C][C]108.4[/C][C]102.747330200611[/C][C]0.0791123881178475[/C][C]5.65266979938889[/C][C]-1.53608731243452[/C][/ROW]
[ROW][C]52[/C][C]103[/C][C]101.933460907278[/C][C]0.0705875159626745[/C][C]1.06653909272196[/C][C]-0.482569184515659[/C][/ROW]
[ROW][C]53[/C][C]99.8[/C][C]102.738519544733[/C][C]0.0786188074351042[/C][C]-2.93851954473314[/C][C]0.396789374787888[/C][/ROW]
[ROW][C]54[/C][C]115[/C][C]105.009288153982[/C][C]0.103759054620692[/C][C]9.99071184601841[/C][C]1.18824778731402[/C][/ROW]
[ROW][C]55[/C][C]90.8[/C][C]103.258328353177[/C][C]0.0831495625340426[/C][C]-12.4583283531769[/C][C]-1.01014230562517[/C][/ROW]
[ROW][C]56[/C][C]95.9[/C][C]103.416653901326[/C][C]0.0839066863203075[/C][C]-7.51665390132604[/C][C]0.041109944986303[/C][/ROW]
[ROW][C]57[/C][C]114.4[/C][C]104.301345306542[/C][C]0.0908444208652733[/C][C]10.0986546934585[/C][C]0.439003281040356[/C][/ROW]
[ROW][C]58[/C][C]108.2[/C][C]103.942453573362[/C][C]0.0875973552997235[/C][C]4.25754642663777[/C][C]-0.246832973818508[/C][/ROW]
[ROW][C]59[/C][C]112.6[/C][C]107.066983407285[/C][C]0.105942183667801[/C][C]5.53301659271506[/C][C]1.66719885809041[/C][/ROW]
[ROW][C]60[/C][C]109.1[/C][C]108.240704600939[/C][C]0.111677847093507[/C][C]0.859295399061066[/C][C]0.585860173333068[/C][/ROW]
[ROW][C]61[/C][C]105[/C][C]108.970473468295[/C][C]0.114991171958746[/C][C]-3.97047346829475[/C][C]0.338561019956043[/C][/ROW]
[ROW][C]62[/C][C]105[/C][C]109.341212319097[/C][C]0.116523828190554[/C][C]-4.34121231909707[/C][C]0.139677020287179[/C][/ROW]
[ROW][C]63[/C][C]118.5[/C][C]110.76496881612[/C][C]0.125754338033006[/C][C]7.73503118387984[/C][C]0.711504428207517[/C][/ROW]
[ROW][C]64[/C][C]103.7[/C][C]108.338745331769[/C][C]0.104768687086392[/C][C]-4.63874533176943[/C][C]-1.38558461298983[/C][/ROW]
[ROW][C]65[/C][C]112.5[/C][C]110.886747582812[/C][C]0.127072276894256[/C][C]1.61325241718814[/C][C]1.32608982103777[/C][/ROW]
[ROW][C]66[/C][C]116.6[/C][C]109.472752010262[/C][C]0.112374471509111[/C][C]7.12724798973751[/C][C]-0.837904169637812[/C][/ROW]
[ROW][C]67[/C][C]96.6[/C][C]109.152457768685[/C][C]0.108317188469096[/C][C]-12.5524577686854[/C][C]-0.235916191864126[/C][/ROW]
[ROW][C]68[/C][C]101.9[/C][C]109.517806686835[/C][C]0.110562227955183[/C][C]-7.61780668683539[/C][C]0.140528746782067[/C][/ROW]
[ROW][C]69[/C][C]116.5[/C][C]108.747326042364[/C][C]0.103689012733759[/C][C]7.75267395763564[/C][C]-0.482619248414312[/C][/ROW]
[ROW][C]70[/C][C]119.3[/C][C]111.894645308775[/C][C]0.124428700251512[/C][C]7.40535469122542[/C][C]1.6689489721079[/C][/ROW]
[ROW][C]71[/C][C]115.4[/C][C]112.216378186994[/C][C]0.125612620421748[/C][C]3.18362181300614[/C][C]0.10822009631475[/C][/ROW]
[ROW][C]72[/C][C]108.5[/C][C]110.762431733474[/C][C]0.116868235744461[/C][C]-2.26243173347433[/C][C]-0.866007892667615[/C][/ROW]
[ROW][C]73[/C][C]111.5[/C][C]112.407513817931[/C][C]0.125286903503982[/C][C]-0.90751381793149[/C][C]0.836842674610217[/C][/ROW]
[ROW][C]74[/C][C]108.8[/C][C]113.224189127818[/C][C]0.129362562925236[/C][C]-4.42418912781763[/C][C]0.377879384196783[/C][/ROW]
[ROW][C]75[/C][C]121.8[/C][C]113.366926850816[/C][C]0.129450291259601[/C][C]8.43307314918361[/C][C]0.00729489519162625[/C][/ROW]
[ROW][C]76[/C][C]109.6[/C][C]114.161026501295[/C][C]0.134298243731241[/C][C]-4.56102650129502[/C][C]0.361962886688326[/C][/ROW]
[ROW][C]77[/C][C]112.2[/C][C]112.604386108122[/C][C]0.120964939881822[/C][C]-0.404386108121774[/C][C]-0.920615418437235[/C][/ROW]
[ROW][C]78[/C][C]119.6[/C][C]112.181108765687[/C][C]0.11651614200472[/C][C]7.41889123431271[/C][C]-0.296595234425069[/C][/ROW]
[ROW][C]79[/C][C]104.1[/C][C]113.958371906122[/C][C]0.129965622467148[/C][C]-9.85837190612178[/C][C]0.906606389332122[/C][/ROW]
[ROW][C]80[/C][C]105.3[/C][C]114.138195959418[/C][C]0.13034930991225[/C][C]-8.83819595941763[/C][C]0.0272664052496418[/C][/ROW]
[ROW][C]81[/C][C]115[/C][C]112.269419614238[/C][C]0.116190851594383[/C][C]2.7305803857619[/C][C]-1.09479043792397[/C][/ROW]
[ROW][C]82[/C][C]124.1[/C][C]113.538716199016[/C][C]0.123590138374985[/C][C]10.5612838009837[/C][C]0.632000765247875[/C][/ROW]
[ROW][C]83[/C][C]116.8[/C][C]113.75130202574[/C][C]0.124111422958527[/C][C]3.04869797426031[/C][C]0.048790116003608[/C][/ROW]
[ROW][C]84[/C][C]107.5[/C][C]112.757812861906[/C][C]0.117934958912487[/C][C]-5.25781286190578[/C][C]-0.61252779132921[/C][/ROW]
[ROW][C]85[/C][C]115.6[/C][C]114.187567345379[/C][C]0.12512873987581[/C][C]1.41243265462055[/C][C]0.718381811177091[/C][/ROW]
[ROW][C]86[/C][C]116.2[/C][C]117.032241776597[/C][C]0.140665206192519[/C][C]-0.832241776596874[/C][C]1.48744397952436[/C][/ROW]
[ROW][C]87[/C][C]116.3[/C][C]114.149766076153[/C][C]0.122141601178783[/C][C]2.15023392384664[/C][C]-1.65132379675596[/C][/ROW]
[ROW][C]88[/C][C]119[/C][C]116.750918604534[/C][C]0.138493295429606[/C][C]2.24908139546596[/C][C]1.35284093683125[/C][/ROW]
[ROW][C]89[/C][C]111.9[/C][C]115.732648044881[/C][C]0.130416568937675[/C][C]-3.83264804488106[/C][C]-0.631134446482959[/C][/ROW]
[ROW][C]90[/C][C]118.6[/C][C]114.119711361128[/C][C]0.117898793526824[/C][C]4.48028863887171[/C][C]-0.951706313954253[/C][/ROW]
[ROW][C]91[/C][C]106.9[/C][C]114.664902600848[/C][C]0.120950713725183[/C][C]-7.76490260084795[/C][C]0.233507565036805[/C][/ROW]
[ROW][C]92[/C][C]103.2[/C][C]113.501018431976[/C][C]0.112103796080564[/C][C]-10.3010184319762[/C][C]-0.702962717764913[/C][/ROW]
[ROW][C]93[/C][C]118.6[/C][C]114.457826932327[/C][C]0.117578641425988[/C][C]4.14217306767253[/C][C]0.462610278101363[/C][/ROW]
[ROW][C]94[/C][C]118.7[/C][C]112.295293398809[/C][C]0.103822839499088[/C][C]6.40470660119088[/C][C]-1.24950910738666[/C][/ROW]
[ROW][C]95[/C][C]102.8[/C][C]107.030547486234[/C][C]0.0735044595963799[/C][C]-4.23054748623386[/C][C]-2.94267042386132[/C][/ROW]
[ROW][C]96[/C][C]100.6[/C][C]105.991254620548[/C][C]0.0674854046597414[/C][C]-5.39125462054799[/C][C]-0.60985240104681[/C][/ROW]
[ROW][C]97[/C][C]94.9[/C][C]101.452037478405[/C][C]0.0427949452633875[/C][C]-6.55203747840549[/C][C]-2.52327019128589[/C][/ROW]
[ROW][C]98[/C][C]94.5[/C][C]97.6411036658358[/C][C]0.0216341741921853[/C][C]-3.14110366583582[/C][C]-2.10915295992929[/C][/ROW]
[ROW][C]99[/C][C]102.9[/C][C]98.4342101381903[/C][C]0.0260687157572324[/C][C]4.46578986180976[/C][C]0.421876497796053[/C][/ROW]
[ROW][C]100[/C][C]95.3[/C][C]96.1396135949516[/C][C]0.0120353347412972[/C][C]-0.839613594951578[/C][C]-1.26829203474018[/C][/ROW]
[ROW][C]101[/C][C]92.5[/C][C]95.3029015220238[/C][C]0.00668948303700552[/C][C]-2.80290152202383[/C][C]-0.463787779609454[/C][/ROW]
[ROW][C]102[/C][C]102.7[/C][C]96.2123628844734[/C][C]0.0124956493958672[/C][C]6.48763711552656[/C][C]0.493469157964951[/C][/ROW]
[ROW][C]103[/C][C]91.5[/C][C]97.2153817287346[/C][C]0.0188459165383239[/C][C]-5.71538172873458[/C][C]0.541794268442599[/C][/ROW]
[ROW][C]104[/C][C]89.5[/C][C]98.0962260914344[/C][C]0.0242284415681362[/C][C]-8.59622609143437[/C][C]0.471859895716036[/C][/ROW]
[ROW][C]105[/C][C]104.2[/C][C]97.7596543323489[/C][C]0.0220725523675258[/C][C]6.44034566765112[/C][C]-0.197638101411453[/C][/ROW]
[ROW][C]106[/C][C]105.2[/C][C]96.4213116364071[/C][C]0.0143571514042342[/C][C]8.77868836359291[/C][C]-0.745551806446163[/C][/ROW]
[ROW][C]107[/C][C]99[/C][C]97.7784306015476[/C][C]0.0216133549090135[/C][C]1.22156939845241[/C][C]0.73601819989275[/C][/ROW]
[ROW][C]108[/C][C]95.5[/C][C]97.7604017489756[/C][C]0.0214060003585525[/C][C]-2.26040174897555[/C][C]-0.0217273689041073[/C][/ROW]
[ROW][C]109[/C][C]90.5[/C][C]96.545315423633[/C][C]0.0149991037274387[/C][C]-6.04531542363301[/C][C]-0.677470386988509[/C][/ROW]
[ROW][C]110[/C][C]96.1[/C][C]97.2097222497158[/C][C]0.0184103905052445[/C][C]-1.10972224971584[/C][C]0.355626074200345[/C][/ROW]
[ROW][C]111[/C][C]113[/C][C]101.127000230831[/C][C]0.0395053563353804[/C][C]11.8729997691693[/C][C]2.13394577122698[/C][/ROW]
[ROW][C]112[/C][C]101.9[/C][C]102.57593415522[/C][C]0.0473981626672908[/C][C]-0.675934155220106[/C][C]0.771119958428032[/C][/ROW]
[ROW][C]113[/C][C]101.4[/C][C]103.847199131574[/C][C]0.054450543314066[/C][C]-2.44719913157401[/C][C]0.669525001261498[/C][/ROW]
[ROW][C]114[/C][C]113.6[/C][C]105.668748532017[/C][C]0.0647876265945888[/C][C]7.93125146798273[/C][C]0.966893942921447[/C][/ROW]
[ROW][C]115[/C][C]96.6[/C][C]104.904971177748[/C][C]0.0599513712253673[/C][C]-8.30497117774795[/C][C]-0.453553625944709[/C][/ROW]
[ROW][C]116[/C][C]97.8[/C][C]105.118332353001[/C][C]0.0608298282890074[/C][C]-7.31833235300054[/C][C]0.0840194374506019[/C][/ROW]
[ROW][C]117[/C][C]114.9[/C][C]106.282543511438[/C][C]0.0669481292867581[/C][C]8.61745648856189[/C][C]0.604587808434621[/C][/ROW]
[ROW][C]118[/C][C]112.5[/C][C]105.862851342518[/C][C]0.0643509072727006[/C][C]6.6371486574823[/C][C]-0.266741148533286[/C][/ROW]
[ROW][C]119[/C][C]108.4[/C][C]106.228672329749[/C][C]0.0659034402645493[/C][C]2.17132767025125[/C][C]0.165269877745043[/C][/ROW]
[ROW][C]120[/C][C]107[/C][C]107.482865677663[/C][C]0.071872003598929[/C][C]-0.482865677662638[/C][C]0.651408789763586[/C][/ROW]
[ROW][C]121[/C][C]103.5[/C][C]109.262084967575[/C][C]0.0803699953960795[/C][C]-5.76208496757534[/C][C]0.935748699062502[/C][/ROW]
[ROW][C]122[/C][C]107.5[/C][C]110.584498416857[/C][C]0.0865957836616631[/C][C]-3.08449841685709[/C][C]0.68050614768621[/C][/ROW]
[ROW][C]123[/C][C]122.3[/C][C]111.36923039469[/C][C]0.0901611945316595[/C][C]10.9307696053098[/C][C]0.382373210408552[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=149942&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=149942&T=1

As an alternative you can also use a QR Code:  

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

Structural Time Series Model
tObservedLevelSlopeSeasonalStand. Residuals
1101.5101.5000
2100.7101.110914728874-0.00798407021648019-0.410914728873969-0.190866113760831
3110.6105.8016492683740.2949482727085424.798350731625651.77793341107671
496.8102.8197054122020.103397965374441-6.01970541220163-1.5416659996985
5100100.9943120243670.0254652812002814-0.994312024367041-1.02250675877947
6104.8102.0224962075920.05144573792285772.777503792408260.549340851606076
786.896.2219196608434-0.0556418670967111-9.4219196608434-3.22596596120342
89292.9004685520394-0.106360429329745-0.900468552039409-1.80068872754125
9100.294.8999815840349-0.07458766882482495.30001841596511.15983349891299
10106.6100.1668965911910.007415592976613476.433103408809132.93856542931115
11102.1102.4267980394190.0425499719507616-0.3267980394185521.23833291569953
1293.799.5551425041882-0.0030242499890409-5.85514250418821-1.6017280808444
1397.698.36015729843980.0192207383707748-0.760157298439834-0.689941536140337
1496.998.41032601764140.0190144529994933-1.510326017641370.0176710012643789
15105.698.4228269710780.01891200877938367.17717302892199-0.00338260617742581
16102.8102.1495368159640.1183159190680030.6504631840361441.87823197323937
17101.7102.7371439269520.131279290580172-1.037143926952380.245195337284679
18104.2100.6930933618170.08050007271576063.50690663818281-1.17203087967141
1992.7100.3123519431070.072033521915747-7.61235194310654-0.252391665613037
2091.998.36532146818690.0423792472164244-6.46532146818689-1.11126900169209
21106.5100.3267061892280.06614638492938356.173293810771551.05791294141102
22112.3103.1161304394380.09476782793539659.183869560561561.50096287505103
23102.8103.0060193235460.0931434813805423-0.20601932354639-0.112826285006804
2496.5102.5261183823420.0907785496705155-6.02611838234246-0.315953859966049
25101102.3667261103950.0906349717090661-1.36672611039506-0.138693072819252
2698.9102.0715930337710.0894645828975912-3.1715930337707-0.212086602262207
27105.1101.2649397773050.0807086000390793.83506022269535-0.480451269886664
28103101.3317506165730.08048875087221711.66824938342685-0.00733288449571652
2999100.1982159257290.0578787074467842-1.198215925729-0.643589053485383
30104.399.93623245414260.05201792195733244.36376754585745-0.172067500134939
3194.6100.605274061060.0620245850144505-6.005274061059980.336166638341445
3290.4100.088759571230.0541883193561983-9.68875957122985-0.317472545654792
33108.9101.6097996883020.07021147839082927.290200311697850.80720541355292
34111.4102.1239491186960.07396384586953799.276050881303990.244406860600834
35100.8101.6732640215340.0707450079516713-0.873264021533966-0.288786892639873
36102.5104.1009204528950.0809060269361568-1.600920452894831.29745271441448
3798.2102.7593164945220.0755082190508372-4.55931649452203-0.782096056914791
3898.7101.8563881510570.0702886950493028-3.15638815105681-0.534481228499955
39113.3104.4895959026440.09191107869844788.810404097356211.38492314633933
40104.6104.213080920270.08761553706669360.386919079730323-0.197520279701741
4199.3102.6953346207240.0655297969364819-3.39533462072433-0.860968621095262
42111.8104.3527564340010.08825369230915067.447243565998990.859531697625339
4397.3104.3962044480060.0876519977743917-7.09620444800587-0.0243870729635218
4497.7105.959710150440.104972891973451-8.259710150440010.807957335990527
45115.6107.3628230089040.1175583841009058.23717699109580.712761046831337
46111.9105.9685169277190.1059510706118735.9314830722814-0.830937616285717
47107106.7993882313920.1102938432594960.2006117686081830.398474158575944
48107.1107.429725672920.112874399107033-0.3297256729200140.285714868423134
49100.6106.771061116790.10909180995271-6.17106111679006-0.423037384918288
5099.2105.4769655505270.100803132649058-6.27696555052726-0.765970306194247
51108.4102.7473302006110.07911238811784755.65266979938889-1.53608731243452
52103101.9334609072780.07058751596267451.06653909272196-0.482569184515659
5399.8102.7385195447330.0786188074351042-2.938519544733140.396789374787888
54115105.0092881539820.1037590546206929.990711846018411.18824778731402
5590.8103.2583283531770.0831495625340426-12.4583283531769-1.01014230562517
5695.9103.4166539013260.0839066863203075-7.516653901326040.041109944986303
57114.4104.3013453065420.090844420865273310.09865469345850.439003281040356
58108.2103.9424535733620.08759735529972354.25754642663777-0.246832973818508
59112.6107.0669834072850.1059421836678015.533016592715061.66719885809041
60109.1108.2407046009390.1116778470935070.8592953990610660.585860173333068
61105108.9704734682950.114991171958746-3.970473468294750.338561019956043
62105109.3412123190970.116523828190554-4.341212319097070.139677020287179
63118.5110.764968816120.1257543380330067.735031183879840.711504428207517
64103.7108.3387453317690.104768687086392-4.63874533176943-1.38558461298983
65112.5110.8867475828120.1270722768942561.613252417188141.32608982103777
66116.6109.4727520102620.1123744715091117.12724798973751-0.837904169637812
6796.6109.1524577686850.108317188469096-12.5524577686854-0.235916191864126
68101.9109.5178066868350.110562227955183-7.617806686835390.140528746782067
69116.5108.7473260423640.1036890127337597.75267395763564-0.482619248414312
70119.3111.8946453087750.1244287002515127.405354691225421.6689489721079
71115.4112.2163781869940.1256126204217483.183621813006140.10822009631475
72108.5110.7624317334740.116868235744461-2.26243173347433-0.866007892667615
73111.5112.4075138179310.125286903503982-0.907513817931490.836842674610217
74108.8113.2241891278180.129362562925236-4.424189127817630.377879384196783
75121.8113.3669268508160.1294502912596018.433073149183610.00729489519162625
76109.6114.1610265012950.134298243731241-4.561026501295020.361962886688326
77112.2112.6043861081220.120964939881822-0.404386108121774-0.920615418437235
78119.6112.1811087656870.116516142004727.41889123431271-0.296595234425069
79104.1113.9583719061220.129965622467148-9.858371906121780.906606389332122
80105.3114.1381959594180.13034930991225-8.838195959417630.0272664052496418
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102102.796.21236288447340.01249564939586726.487637115526560.493469157964951
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106105.296.42131163640710.01435715140423428.77868836359291-0.745551806446163
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10990.596.5453154236330.0149991037274387-6.04531542363301-0.677470386988509
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112101.9102.575934155220.0473981626672908-0.6759341552201060.771119958428032
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114113.6105.6687485320170.06478762659458887.931251467982730.966893942921447
11596.6104.9049711777480.0599513712253673-8.30497117774795-0.453553625944709
11697.8105.1183323530010.0608298282890074-7.318332353000540.0840194374506019
117114.9106.2825435114380.06694812928675818.617456488561890.604587808434621
118112.5105.8628513425180.06435090727270066.6371486574823-0.266741148533286
119108.4106.2286723297490.06590344026454932.171327670251250.165269877745043
120107107.4828656776630.071872003598929-0.4828656776626380.651408789763586
121103.5109.2620849675750.0803699953960795-5.762084967575340.935748699062502
122107.5110.5844984168570.0865957836616631-3.084498416857090.68050614768621
123122.3111.369230394690.090161194531659510.93076960530980.382373210408552



Parameters (Session):
par1 = 12 ;
Parameters (R input):
par1 = 12 ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
nx <- length(x)
x <- ts(x,frequency=par1)
m <- StructTS(x,type='BSM')
m$coef
m$fitted
m$resid
mylevel <- as.numeric(m$fitted[,'level'])
myslope <- as.numeric(m$fitted[,'slope'])
myseas <- as.numeric(m$fitted[,'sea'])
myresid <- as.numeric(m$resid)
myfit <- mylevel+myseas
mylagmax <- nx/2
bitmap(file='test2.png')
op <- par(mfrow = c(2,2))
acf(as.numeric(x),lag.max = mylagmax,main='Observed')
acf(mylevel,na.action=na.pass,lag.max = mylagmax,main='Level')
acf(myseas,na.action=na.pass,lag.max = mylagmax,main='Seasonal')
acf(myresid,na.action=na.pass,lag.max = mylagmax,main='Standardized Residals')
par(op)
dev.off()
bitmap(file='test3.png')
op <- par(mfrow = c(2,2))
spectrum(as.numeric(x),main='Observed')
spectrum(mylevel,main='Level')
spectrum(myseas,main='Seasonal')
spectrum(myresid,main='Standardized Residals')
par(op)
dev.off()
bitmap(file='test4.png')
op <- par(mfrow = c(2,2))
cpgram(as.numeric(x),main='Observed')
cpgram(mylevel,main='Level')
cpgram(myseas,main='Seasonal')
cpgram(myresid,main='Standardized Residals')
par(op)
dev.off()
bitmap(file='test1.png')
plot(as.numeric(m$resid),main='Standardized Residuals',ylab='Residuals',xlab='time',type='b')
grid()
dev.off()
bitmap(file='test5.png')
op <- par(mfrow = c(2,2))
hist(m$resid,main='Residual Histogram')
plot(density(m$resid),main='Residual Kernel Density')
qqnorm(m$resid,main='Residual Normal QQ Plot')
qqline(m$resid)
plot(m$resid^2, myfit^2,main='Sq.Resid vs. Sq.Fit',xlab='Squared residuals',ylab='Squared Fit')
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Structural Time Series Model',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'t',header=TRUE)
a<-table.element(a,'Observed',header=TRUE)
a<-table.element(a,'Level',header=TRUE)
a<-table.element(a,'Slope',header=TRUE)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,'Stand. Residuals',header=TRUE)
a<-table.row.end(a)
for (i in 1:nx) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
a<-table.element(a,mylevel[i])
a<-table.element(a,myslope[i])
a<-table.element(a,myseas[i])
a<-table.element(a,myresid[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')