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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 10:54:42 -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/t13227549281ajwt7xulwf4rhn.htm/, Retrieved Fri, 29 Mar 2024 09:35:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=149836, Retrieved Fri, 29 Mar 2024 09:35:58 +0000
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IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact80
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
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Dataseries X:
274
291
280
258
252
251
224
225
234
233
229
208
224
226
223
205
201
202
183
188
200
206
211
201
299
244
251
241
244
252
234
246
265
277
287
275
320
338
342
322
323
343
315
334
359
362
378
345
422
430
443
431
425
432
387
396
411
421
424
410
464
486
490
459
454
446
406
412
428
429
425
396
429
439
424
379
370
353
322
322
338
348
350
312
358
378
352
312
310
292
276
269
286
292
288
255
304
299
293
275
272
264
234
231
263
264
264
245
297
317
318
315
312
310
306
313
350
354
371
357
419
425
424
399
393
378
371
364
384
377
383
352




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=149836&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=149836&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=149836&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'George Udny Yule' @ yule.wessa.net







Structural Time Series Model
tObservedLevelSlopeSeasonalStand. Residuals
1274274000
2291287.4328163481240.8074378877701423.567183651875621.03222464681055
3280283.7453423054010.439637940573265-3.74534230540102-0.438523977006527
4258266.906991335022-1.19694932357596-8.90699133502252-1.85732307258326
5252254.392264458332-2.44605809341732-2.3922644583316-1.19447224422177
6251249.703478932256-2.728099046164741.29652106774405-0.232140170741192
7224231.647743759524-4.84624694938476-7.64774375952383-1.56627436641324
8225223.540177846142-5.326268347279161.45982215385819-0.330231750887321
9234228.107754324003-3.808503055870785.892245675997190.995210476868805
10233231.277431269154-2.708344827041681.722568730845510.698585262744063
11229229.720047385856-2.52354399806848-0.7200473858561640.114832378052107
12208214.663054575408-4.56080119662471-6.66305457540753-1.24749972420761
13224219.409191487813-3.117208084420854.59080851218670.992244843420648
14226219.058345816237-2.664655154647866.941654183762610.268319743852939
15223219.581233465679-2.145454796199463.418766534320890.296267430524105
16205213.609233873179-2.76877685739827-8.60923387317898-0.372203872070445
17201205.096394280095-3.70934851889572-4.09639428009514-0.564076892577279
18202196.657402375083-4.485364502995335.34259762491692-0.461944096554097
19183190.160572852898-4.81551122012524-7.1605728528984-0.196056807513661
20188188.460956396599-4.3038864145841-0.4609563965991720.303864704843986
21200192.610920866812-2.914962388555067.389079133188450.825138347946265
22206199.738112954374-1.264502448025376.261887045626350.980427181662004
23211205.558130864823-0.1010969848006515.441869135176510.690751243682241
24201210.1190155611810.662120493066022-9.11901556118150.45493641168183
25299263.0930109238529.2122775528953435.90698907614845.21500587620956
26244255.7176983700896.4888851610084-11.7176983700892-1.62146990255326
27251250.3993627657374.561397871993060.600637234262574-1.12475725188493
28241249.3773802444793.65241727915708-8.37738024447937-0.538856063824825
29244248.414761574862.89875341445917-4.41476157486002-0.450204396736448
30252247.6052992134142.291681106559074.39470078658633-0.361183985573463
31234245.0762969545551.50221075173413-11.0762969545547-0.468151634792625
32246248.2653875056331.77837713014097-2.265387505632570.163700495827198
33265257.3101922928842.967716354395477.689807707116180.70531065272973
34277269.6295921684794.497740049166417.370407831521360.907454706473131
35287284.010066377186.112825391486742.989933622819510.958565478722212
36275299.4557835885247.63612991285428-24.45578358852430.908648658264646
37320289.1415822441784.7034154037681830.8584177558217-1.76112099132352
38338323.8546490618779.6132292912205414.1453509381232.91957168024689
39342339.66809890549710.62467235612472.331901094503010.595437848156679
40322336.9402027768978.45176112889281-14.9402027768967-1.28690239030006
41323331.6970759775786.22065260253856-8.69707597757766-1.3301235629141
42343335.8272596056825.879423213256667.17274039431785-0.20326281454539
43315332.3251088510964.3469487582013-17.3251088510959-0.910102867917849
44334337.6213213904574.50198238927581-3.621321390456710.0919267661750935
45359350.6160572611595.888384364428858.383942738841070.821773916748497
46362358.689175857746.24479229883293.310824142260230.211305946818672
47378372.7143268594227.51293965715885.285673140578450.753097173754919
48345371.823927591296.1436442502191-26.8239275912903-0.816386686565965
49422393.4168087759688.6637168481236628.58319122403181.50559454947799
50430412.86209868978210.423557230508717.13790131021841.04549411029458
51443430.96918808707211.675640914780612.03081191292820.739745280981551
52431441.79801944399811.5378919853853-10.798019443998-0.0816011225569787
53425439.911255296819.35358305638954-14.9112552968098-1.30024375455939
54432430.621137267796.316140183518631.37886273221036-1.80934874834049
55387415.6688498552612.84837784033248-28.6688498552609-2.06122507781772
56396406.9145242294590.9566841710292-10.9145242294588-1.12214615324423
57411404.0787947970560.3387004050826526.92120520294419-0.366265382862824
58421413.4170694665511.804131858969887.582930533449260.86884998791212
59424416.8709824201032.072609538998947.129017579896630.159487878951438
60410434.9152305982024.67203281603701-24.91523059820241.54856623265996
61464442.0148066106125.0674645641653421.98519338938790.235697508759694
62486463.2367565276957.6998995160006922.76324347230491.56327822955941
63490476.1365538330758.5463598555625913.86344616692450.500982911974509
64459471.4657477368616.39752639832533-12.4657477368611-1.27355307604416
65454465.1662316761294.33338765867811-11.1662316761294-1.22757099366798
66446446.7875568432040.63797629933088-0.787556843204155-2.20028703458656
67406434.243499946818-1.50831502023674-28.2434999468178-1.27612552678648
68412424.842686346223-2.79339932681279-12.8426863462228-0.762570621539515
69428422.965411593555-2.644307667749725.034588406444940.0883774729413083
70429422.345341339426-2.31510234163516.654658660574050.195223021774017
71425423.187581820303-1.801829838707221.812418179696580.304930311072908
72396423.347402789663-1.48286214497872-27.34740278966340.189880669542828
73429417.508570092927-2.1916275832509911.4914299070727-0.421928825022588
74439416.293611748246-2.0326757690683822.70638825175360.0943811392058972
75424407.734023510691-3.0941791129240116.2659764893087-0.628898811037317
76379391.201418797982-5.27776252864762-12.2014187979823-1.29471532448201
77370375.216819464953-7.01722188487514-5.21681946495288-1.03390827665664
78353354.52543727886-9.24001022464953-1.52543727886033-1.32274990467383
79322345.354522848623-9.22877209585894-23.35452284862320.00668168750544591
80322335.852800014864-9.27316897893972-13.8528000148636-0.02635163914313
81338331.432138860066-8.484220382302786.56786113993420.467796625349132
82348335.972035641721-6.3678964413082412.02796435827891.25530288007485
83350342.792926069248-4.225435349733397.207073930752371.27276221176536
84312339.300806860036-4.10628308351217-27.3008068600360.0708883601945553
85358342.139706547317-2.9772209951485915.8602934526830.671619779252492
86378347.246967509875-1.6627395535589730.75303249012470.780477778935618
87352335.782645438032-3.2556318586431316.2173545619677-0.94434457257522
88312322.673380785881-4.85593713099367-10.6733807858806-0.94920690615562
89310311.722946231055-5.84556551791833-1.72294623105521-0.58802129578558
90292297.525695575687-7.20223079943054-5.52569557568697-0.806931128529626
91276295.486391707668-6.36318428170153-19.48639170766820.498775644072501
92269287.827952266652-6.57369552652875-18.827952266652-0.124968750987783
93286284.174517213891-6.0992425294661.825482786109440.281403797571386
94292283.058604673748-5.289977112053978.941395326252020.480125269423786
95288280.950910152769-4.773300052088057.049089847230820.306914775743428
96255282.601047496016-3.73017255274948-27.60104749601620.620303133222462
97304286.557785722542-2.4813803442996817.44221427745840.742470659813433
98299271.601116496437-4.5083053196955527.3988835035628-1.20350215833284
99293268.995811434869-4.1992220440151324.00418856513110.183321972027223
100275275.912600668593-2.39463021840045-0.9126006685928621.0706715443311
101272272.681925706374-2.53033518759485-0.681925706374512-0.0806164531452879
102264270.762093807265-2.43121395253545-6.76209380726480.0589322070122032
103234258.930952452761-3.95789815349172-24.930952452761-0.907360432896603
104231252.00207290351-4.44046020389076-21.0020729035103-0.286500139633687
105263257.377947141928-2.846459206792015.622052858071940.945673007966695
106264257.00785309117-2.444485456347066.992146908829990.238531212969064
107264258.19315972795-1.855373827681665.806840272050260.349912417035444
108245267.846716076690.0128222209154417-22.84671607669031.11052923595629
109297273.1528330134230.87231025163983523.84716698657710.510834011975295
110317285.3566586980072.712394806586931.64334130199331.09258415971595
111318295.439101934133.9088943391946222.56089806587020.709887850549336
112315309.8869224579815.619254319422645.113077542018671.01497643007931
113312313.9018874085865.3589259340864-1.90188740858554-0.154628246524545
114310314.8123274248444.63693952103358-4.81232742484421-0.429116978456807
115306325.9462441697795.69166115480419-19.94624416977880.626736468128345
116313336.1346042225526.42169869609765-23.13460422255170.433456485337324
117350344.7811207823746.782826064269435.218879217625610.214293228080746
118354350.4065883736716.595017880286863.59341162632936-0.111463029292857
119371365.2259478336857.929453031337395.774052166315450.792551625563327
120357380.092990920539.05524943782317-23.09299092053020.669031301936746
121419396.83626464951110.303092745129822.16373535048890.741470574092062
122425401.6138867038579.4061974486403423.3861132961435-0.53255794223759
123424406.9325115999368.7428199972065817.0674884000641-0.393674772167017
124399400.982612838376.35892643891763-1.9826128383701-1.41489565648398
125393397.6389949213154.78483876931274-4.63899492131465-0.934879955040519
126378391.3806189309692.99302295967672-13.3806189309694-1.0647160862244
127371392.6437882840372.71229294940045-21.6437882840365-0.166788100993731
128364390.766802010951.9674844379064-26.7668020109496-0.442244775838963
129384384.1259242828920.570609096626927-0.125924282892463-0.82905058209792
130377379.815883405965-0.221208142534519-2.81588340596458-0.469997868427708
131383380.260922040984-0.1131283445720372.739077959015610.064187381907292
132352378.892252420373-0.316823798674682-26.8922524203734-0.121025518643652

\begin{tabular}{lllllllll}
\hline
Structural Time Series Model \tabularnewline
t & Observed & Level & Slope & Seasonal & Stand. Residuals \tabularnewline
1 & 274 & 274 & 0 & 0 & 0 \tabularnewline
2 & 291 & 287.432816348124 & 0.807437887770142 & 3.56718365187562 & 1.03222464681055 \tabularnewline
3 & 280 & 283.745342305401 & 0.439637940573265 & -3.74534230540102 & -0.438523977006527 \tabularnewline
4 & 258 & 266.906991335022 & -1.19694932357596 & -8.90699133502252 & -1.85732307258326 \tabularnewline
5 & 252 & 254.392264458332 & -2.44605809341732 & -2.3922644583316 & -1.19447224422177 \tabularnewline
6 & 251 & 249.703478932256 & -2.72809904616474 & 1.29652106774405 & -0.232140170741192 \tabularnewline
7 & 224 & 231.647743759524 & -4.84624694938476 & -7.64774375952383 & -1.56627436641324 \tabularnewline
8 & 225 & 223.540177846142 & -5.32626834727916 & 1.45982215385819 & -0.330231750887321 \tabularnewline
9 & 234 & 228.107754324003 & -3.80850305587078 & 5.89224567599719 & 0.995210476868805 \tabularnewline
10 & 233 & 231.277431269154 & -2.70834482704168 & 1.72256873084551 & 0.698585262744063 \tabularnewline
11 & 229 & 229.720047385856 & -2.52354399806848 & -0.720047385856164 & 0.114832378052107 \tabularnewline
12 & 208 & 214.663054575408 & -4.56080119662471 & -6.66305457540753 & -1.24749972420761 \tabularnewline
13 & 224 & 219.409191487813 & -3.11720808442085 & 4.5908085121867 & 0.992244843420648 \tabularnewline
14 & 226 & 219.058345816237 & -2.66465515464786 & 6.94165418376261 & 0.268319743852939 \tabularnewline
15 & 223 & 219.581233465679 & -2.14545479619946 & 3.41876653432089 & 0.296267430524105 \tabularnewline
16 & 205 & 213.609233873179 & -2.76877685739827 & -8.60923387317898 & -0.372203872070445 \tabularnewline
17 & 201 & 205.096394280095 & -3.70934851889572 & -4.09639428009514 & -0.564076892577279 \tabularnewline
18 & 202 & 196.657402375083 & -4.48536450299533 & 5.34259762491692 & -0.461944096554097 \tabularnewline
19 & 183 & 190.160572852898 & -4.81551122012524 & -7.1605728528984 & -0.196056807513661 \tabularnewline
20 & 188 & 188.460956396599 & -4.3038864145841 & -0.460956396599172 & 0.303864704843986 \tabularnewline
21 & 200 & 192.610920866812 & -2.91496238855506 & 7.38907913318845 & 0.825138347946265 \tabularnewline
22 & 206 & 199.738112954374 & -1.26450244802537 & 6.26188704562635 & 0.980427181662004 \tabularnewline
23 & 211 & 205.558130864823 & -0.101096984800651 & 5.44186913517651 & 0.690751243682241 \tabularnewline
24 & 201 & 210.119015561181 & 0.662120493066022 & -9.1190155611815 & 0.45493641168183 \tabularnewline
25 & 299 & 263.093010923852 & 9.21227755289534 & 35.9069890761484 & 5.21500587620956 \tabularnewline
26 & 244 & 255.717698370089 & 6.4888851610084 & -11.7176983700892 & -1.62146990255326 \tabularnewline
27 & 251 & 250.399362765737 & 4.56139787199306 & 0.600637234262574 & -1.12475725188493 \tabularnewline
28 & 241 & 249.377380244479 & 3.65241727915708 & -8.37738024447937 & -0.538856063824825 \tabularnewline
29 & 244 & 248.41476157486 & 2.89875341445917 & -4.41476157486002 & -0.450204396736448 \tabularnewline
30 & 252 & 247.605299213414 & 2.29168110655907 & 4.39470078658633 & -0.361183985573463 \tabularnewline
31 & 234 & 245.076296954555 & 1.50221075173413 & -11.0762969545547 & -0.468151634792625 \tabularnewline
32 & 246 & 248.265387505633 & 1.77837713014097 & -2.26538750563257 & 0.163700495827198 \tabularnewline
33 & 265 & 257.310192292884 & 2.96771635439547 & 7.68980770711618 & 0.70531065272973 \tabularnewline
34 & 277 & 269.629592168479 & 4.49774004916641 & 7.37040783152136 & 0.907454706473131 \tabularnewline
35 & 287 & 284.01006637718 & 6.11282539148674 & 2.98993362281951 & 0.958565478722212 \tabularnewline
36 & 275 & 299.455783588524 & 7.63612991285428 & -24.4557835885243 & 0.908648658264646 \tabularnewline
37 & 320 & 289.141582244178 & 4.70341540376818 & 30.8584177558217 & -1.76112099132352 \tabularnewline
38 & 338 & 323.854649061877 & 9.61322929122054 & 14.145350938123 & 2.91957168024689 \tabularnewline
39 & 342 & 339.668098905497 & 10.6246723561247 & 2.33190109450301 & 0.595437848156679 \tabularnewline
40 & 322 & 336.940202776897 & 8.45176112889281 & -14.9402027768967 & -1.28690239030006 \tabularnewline
41 & 323 & 331.697075977578 & 6.22065260253856 & -8.69707597757766 & -1.3301235629141 \tabularnewline
42 & 343 & 335.827259605682 & 5.87942321325666 & 7.17274039431785 & -0.20326281454539 \tabularnewline
43 & 315 & 332.325108851096 & 4.3469487582013 & -17.3251088510959 & -0.910102867917849 \tabularnewline
44 & 334 & 337.621321390457 & 4.50198238927581 & -3.62132139045671 & 0.0919267661750935 \tabularnewline
45 & 359 & 350.616057261159 & 5.88838436442885 & 8.38394273884107 & 0.821773916748497 \tabularnewline
46 & 362 & 358.68917585774 & 6.2447922988329 & 3.31082414226023 & 0.211305946818672 \tabularnewline
47 & 378 & 372.714326859422 & 7.5129396571588 & 5.28567314057845 & 0.753097173754919 \tabularnewline
48 & 345 & 371.82392759129 & 6.1436442502191 & -26.8239275912903 & -0.816386686565965 \tabularnewline
49 & 422 & 393.416808775968 & 8.66371684812366 & 28.5831912240318 & 1.50559454947799 \tabularnewline
50 & 430 & 412.862098689782 & 10.4235572305087 & 17.1379013102184 & 1.04549411029458 \tabularnewline
51 & 443 & 430.969188087072 & 11.6756409147806 & 12.0308119129282 & 0.739745280981551 \tabularnewline
52 & 431 & 441.798019443998 & 11.5378919853853 & -10.798019443998 & -0.0816011225569787 \tabularnewline
53 & 425 & 439.91125529681 & 9.35358305638954 & -14.9112552968098 & -1.30024375455939 \tabularnewline
54 & 432 & 430.62113726779 & 6.31614018351863 & 1.37886273221036 & -1.80934874834049 \tabularnewline
55 & 387 & 415.668849855261 & 2.84837784033248 & -28.6688498552609 & -2.06122507781772 \tabularnewline
56 & 396 & 406.914524229459 & 0.9566841710292 & -10.9145242294588 & -1.12214615324423 \tabularnewline
57 & 411 & 404.078794797056 & 0.338700405082652 & 6.92120520294419 & -0.366265382862824 \tabularnewline
58 & 421 & 413.417069466551 & 1.80413185896988 & 7.58293053344926 & 0.86884998791212 \tabularnewline
59 & 424 & 416.870982420103 & 2.07260953899894 & 7.12901757989663 & 0.159487878951438 \tabularnewline
60 & 410 & 434.915230598202 & 4.67203281603701 & -24.9152305982024 & 1.54856623265996 \tabularnewline
61 & 464 & 442.014806610612 & 5.06746456416534 & 21.9851933893879 & 0.235697508759694 \tabularnewline
62 & 486 & 463.236756527695 & 7.69989951600069 & 22.7632434723049 & 1.56327822955941 \tabularnewline
63 & 490 & 476.136553833075 & 8.54635985556259 & 13.8634461669245 & 0.500982911974509 \tabularnewline
64 & 459 & 471.465747736861 & 6.39752639832533 & -12.4657477368611 & -1.27355307604416 \tabularnewline
65 & 454 & 465.166231676129 & 4.33338765867811 & -11.1662316761294 & -1.22757099366798 \tabularnewline
66 & 446 & 446.787556843204 & 0.63797629933088 & -0.787556843204155 & -2.20028703458656 \tabularnewline
67 & 406 & 434.243499946818 & -1.50831502023674 & -28.2434999468178 & -1.27612552678648 \tabularnewline
68 & 412 & 424.842686346223 & -2.79339932681279 & -12.8426863462228 & -0.762570621539515 \tabularnewline
69 & 428 & 422.965411593555 & -2.64430766774972 & 5.03458840644494 & 0.0883774729413083 \tabularnewline
70 & 429 & 422.345341339426 & -2.3151023416351 & 6.65465866057405 & 0.195223021774017 \tabularnewline
71 & 425 & 423.187581820303 & -1.80182983870722 & 1.81241817969658 & 0.304930311072908 \tabularnewline
72 & 396 & 423.347402789663 & -1.48286214497872 & -27.3474027896634 & 0.189880669542828 \tabularnewline
73 & 429 & 417.508570092927 & -2.19162758325099 & 11.4914299070727 & -0.421928825022588 \tabularnewline
74 & 439 & 416.293611748246 & -2.03267576906838 & 22.7063882517536 & 0.0943811392058972 \tabularnewline
75 & 424 & 407.734023510691 & -3.09417911292401 & 16.2659764893087 & -0.628898811037317 \tabularnewline
76 & 379 & 391.201418797982 & -5.27776252864762 & -12.2014187979823 & -1.29471532448201 \tabularnewline
77 & 370 & 375.216819464953 & -7.01722188487514 & -5.21681946495288 & -1.03390827665664 \tabularnewline
78 & 353 & 354.52543727886 & -9.24001022464953 & -1.52543727886033 & -1.32274990467383 \tabularnewline
79 & 322 & 345.354522848623 & -9.22877209585894 & -23.3545228486232 & 0.00668168750544591 \tabularnewline
80 & 322 & 335.852800014864 & -9.27316897893972 & -13.8528000148636 & -0.02635163914313 \tabularnewline
81 & 338 & 331.432138860066 & -8.48422038230278 & 6.5678611399342 & 0.467796625349132 \tabularnewline
82 & 348 & 335.972035641721 & -6.36789644130824 & 12.0279643582789 & 1.25530288007485 \tabularnewline
83 & 350 & 342.792926069248 & -4.22543534973339 & 7.20707393075237 & 1.27276221176536 \tabularnewline
84 & 312 & 339.300806860036 & -4.10628308351217 & -27.300806860036 & 0.0708883601945553 \tabularnewline
85 & 358 & 342.139706547317 & -2.97722099514859 & 15.860293452683 & 0.671619779252492 \tabularnewline
86 & 378 & 347.246967509875 & -1.66273955355897 & 30.7530324901247 & 0.780477778935618 \tabularnewline
87 & 352 & 335.782645438032 & -3.25563185864313 & 16.2173545619677 & -0.94434457257522 \tabularnewline
88 & 312 & 322.673380785881 & -4.85593713099367 & -10.6733807858806 & -0.94920690615562 \tabularnewline
89 & 310 & 311.722946231055 & -5.84556551791833 & -1.72294623105521 & -0.58802129578558 \tabularnewline
90 & 292 & 297.525695575687 & -7.20223079943054 & -5.52569557568697 & -0.806931128529626 \tabularnewline
91 & 276 & 295.486391707668 & -6.36318428170153 & -19.4863917076682 & 0.498775644072501 \tabularnewline
92 & 269 & 287.827952266652 & -6.57369552652875 & -18.827952266652 & -0.124968750987783 \tabularnewline
93 & 286 & 284.174517213891 & -6.099242529466 & 1.82548278610944 & 0.281403797571386 \tabularnewline
94 & 292 & 283.058604673748 & -5.28997711205397 & 8.94139532625202 & 0.480125269423786 \tabularnewline
95 & 288 & 280.950910152769 & -4.77330005208805 & 7.04908984723082 & 0.306914775743428 \tabularnewline
96 & 255 & 282.601047496016 & -3.73017255274948 & -27.6010474960162 & 0.620303133222462 \tabularnewline
97 & 304 & 286.557785722542 & -2.48138034429968 & 17.4422142774584 & 0.742470659813433 \tabularnewline
98 & 299 & 271.601116496437 & -4.50830531969555 & 27.3988835035628 & -1.20350215833284 \tabularnewline
99 & 293 & 268.995811434869 & -4.19922204401513 & 24.0041885651311 & 0.183321972027223 \tabularnewline
100 & 275 & 275.912600668593 & -2.39463021840045 & -0.912600668592862 & 1.0706715443311 \tabularnewline
101 & 272 & 272.681925706374 & -2.53033518759485 & -0.681925706374512 & -0.0806164531452879 \tabularnewline
102 & 264 & 270.762093807265 & -2.43121395253545 & -6.7620938072648 & 0.0589322070122032 \tabularnewline
103 & 234 & 258.930952452761 & -3.95789815349172 & -24.930952452761 & -0.907360432896603 \tabularnewline
104 & 231 & 252.00207290351 & -4.44046020389076 & -21.0020729035103 & -0.286500139633687 \tabularnewline
105 & 263 & 257.377947141928 & -2.84645920679201 & 5.62205285807194 & 0.945673007966695 \tabularnewline
106 & 264 & 257.00785309117 & -2.44448545634706 & 6.99214690882999 & 0.238531212969064 \tabularnewline
107 & 264 & 258.19315972795 & -1.85537382768166 & 5.80684027205026 & 0.349912417035444 \tabularnewline
108 & 245 & 267.84671607669 & 0.0128222209154417 & -22.8467160766903 & 1.11052923595629 \tabularnewline
109 & 297 & 273.152833013423 & 0.872310251639835 & 23.8471669865771 & 0.510834011975295 \tabularnewline
110 & 317 & 285.356658698007 & 2.7123948065869 & 31.6433413019933 & 1.09258415971595 \tabularnewline
111 & 318 & 295.43910193413 & 3.90889433919462 & 22.5608980658702 & 0.709887850549336 \tabularnewline
112 & 315 & 309.886922457981 & 5.61925431942264 & 5.11307754201867 & 1.01497643007931 \tabularnewline
113 & 312 & 313.901887408586 & 5.3589259340864 & -1.90188740858554 & -0.154628246524545 \tabularnewline
114 & 310 & 314.812327424844 & 4.63693952103358 & -4.81232742484421 & -0.429116978456807 \tabularnewline
115 & 306 & 325.946244169779 & 5.69166115480419 & -19.9462441697788 & 0.626736468128345 \tabularnewline
116 & 313 & 336.134604222552 & 6.42169869609765 & -23.1346042225517 & 0.433456485337324 \tabularnewline
117 & 350 & 344.781120782374 & 6.78282606426943 & 5.21887921762561 & 0.214293228080746 \tabularnewline
118 & 354 & 350.406588373671 & 6.59501788028686 & 3.59341162632936 & -0.111463029292857 \tabularnewline
119 & 371 & 365.225947833685 & 7.92945303133739 & 5.77405216631545 & 0.792551625563327 \tabularnewline
120 & 357 & 380.09299092053 & 9.05524943782317 & -23.0929909205302 & 0.669031301936746 \tabularnewline
121 & 419 & 396.836264649511 & 10.3030927451298 & 22.1637353504889 & 0.741470574092062 \tabularnewline
122 & 425 & 401.613886703857 & 9.40619744864034 & 23.3861132961435 & -0.53255794223759 \tabularnewline
123 & 424 & 406.932511599936 & 8.74281999720658 & 17.0674884000641 & -0.393674772167017 \tabularnewline
124 & 399 & 400.98261283837 & 6.35892643891763 & -1.9826128383701 & -1.41489565648398 \tabularnewline
125 & 393 & 397.638994921315 & 4.78483876931274 & -4.63899492131465 & -0.934879955040519 \tabularnewline
126 & 378 & 391.380618930969 & 2.99302295967672 & -13.3806189309694 & -1.0647160862244 \tabularnewline
127 & 371 & 392.643788284037 & 2.71229294940045 & -21.6437882840365 & -0.166788100993731 \tabularnewline
128 & 364 & 390.76680201095 & 1.9674844379064 & -26.7668020109496 & -0.442244775838963 \tabularnewline
129 & 384 & 384.125924282892 & 0.570609096626927 & -0.125924282892463 & -0.82905058209792 \tabularnewline
130 & 377 & 379.815883405965 & -0.221208142534519 & -2.81588340596458 & -0.469997868427708 \tabularnewline
131 & 383 & 380.260922040984 & -0.113128344572037 & 2.73907795901561 & 0.064187381907292 \tabularnewline
132 & 352 & 378.892252420373 & -0.316823798674682 & -26.8922524203734 & -0.121025518643652 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=149836&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]274[/C][C]274[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]291[/C][C]287.432816348124[/C][C]0.807437887770142[/C][C]3.56718365187562[/C][C]1.03222464681055[/C][/ROW]
[ROW][C]3[/C][C]280[/C][C]283.745342305401[/C][C]0.439637940573265[/C][C]-3.74534230540102[/C][C]-0.438523977006527[/C][/ROW]
[ROW][C]4[/C][C]258[/C][C]266.906991335022[/C][C]-1.19694932357596[/C][C]-8.90699133502252[/C][C]-1.85732307258326[/C][/ROW]
[ROW][C]5[/C][C]252[/C][C]254.392264458332[/C][C]-2.44605809341732[/C][C]-2.3922644583316[/C][C]-1.19447224422177[/C][/ROW]
[ROW][C]6[/C][C]251[/C][C]249.703478932256[/C][C]-2.72809904616474[/C][C]1.29652106774405[/C][C]-0.232140170741192[/C][/ROW]
[ROW][C]7[/C][C]224[/C][C]231.647743759524[/C][C]-4.84624694938476[/C][C]-7.64774375952383[/C][C]-1.56627436641324[/C][/ROW]
[ROW][C]8[/C][C]225[/C][C]223.540177846142[/C][C]-5.32626834727916[/C][C]1.45982215385819[/C][C]-0.330231750887321[/C][/ROW]
[ROW][C]9[/C][C]234[/C][C]228.107754324003[/C][C]-3.80850305587078[/C][C]5.89224567599719[/C][C]0.995210476868805[/C][/ROW]
[ROW][C]10[/C][C]233[/C][C]231.277431269154[/C][C]-2.70834482704168[/C][C]1.72256873084551[/C][C]0.698585262744063[/C][/ROW]
[ROW][C]11[/C][C]229[/C][C]229.720047385856[/C][C]-2.52354399806848[/C][C]-0.720047385856164[/C][C]0.114832378052107[/C][/ROW]
[ROW][C]12[/C][C]208[/C][C]214.663054575408[/C][C]-4.56080119662471[/C][C]-6.66305457540753[/C][C]-1.24749972420761[/C][/ROW]
[ROW][C]13[/C][C]224[/C][C]219.409191487813[/C][C]-3.11720808442085[/C][C]4.5908085121867[/C][C]0.992244843420648[/C][/ROW]
[ROW][C]14[/C][C]226[/C][C]219.058345816237[/C][C]-2.66465515464786[/C][C]6.94165418376261[/C][C]0.268319743852939[/C][/ROW]
[ROW][C]15[/C][C]223[/C][C]219.581233465679[/C][C]-2.14545479619946[/C][C]3.41876653432089[/C][C]0.296267430524105[/C][/ROW]
[ROW][C]16[/C][C]205[/C][C]213.609233873179[/C][C]-2.76877685739827[/C][C]-8.60923387317898[/C][C]-0.372203872070445[/C][/ROW]
[ROW][C]17[/C][C]201[/C][C]205.096394280095[/C][C]-3.70934851889572[/C][C]-4.09639428009514[/C][C]-0.564076892577279[/C][/ROW]
[ROW][C]18[/C][C]202[/C][C]196.657402375083[/C][C]-4.48536450299533[/C][C]5.34259762491692[/C][C]-0.461944096554097[/C][/ROW]
[ROW][C]19[/C][C]183[/C][C]190.160572852898[/C][C]-4.81551122012524[/C][C]-7.1605728528984[/C][C]-0.196056807513661[/C][/ROW]
[ROW][C]20[/C][C]188[/C][C]188.460956396599[/C][C]-4.3038864145841[/C][C]-0.460956396599172[/C][C]0.303864704843986[/C][/ROW]
[ROW][C]21[/C][C]200[/C][C]192.610920866812[/C][C]-2.91496238855506[/C][C]7.38907913318845[/C][C]0.825138347946265[/C][/ROW]
[ROW][C]22[/C][C]206[/C][C]199.738112954374[/C][C]-1.26450244802537[/C][C]6.26188704562635[/C][C]0.980427181662004[/C][/ROW]
[ROW][C]23[/C][C]211[/C][C]205.558130864823[/C][C]-0.101096984800651[/C][C]5.44186913517651[/C][C]0.690751243682241[/C][/ROW]
[ROW][C]24[/C][C]201[/C][C]210.119015561181[/C][C]0.662120493066022[/C][C]-9.1190155611815[/C][C]0.45493641168183[/C][/ROW]
[ROW][C]25[/C][C]299[/C][C]263.093010923852[/C][C]9.21227755289534[/C][C]35.9069890761484[/C][C]5.21500587620956[/C][/ROW]
[ROW][C]26[/C][C]244[/C][C]255.717698370089[/C][C]6.4888851610084[/C][C]-11.7176983700892[/C][C]-1.62146990255326[/C][/ROW]
[ROW][C]27[/C][C]251[/C][C]250.399362765737[/C][C]4.56139787199306[/C][C]0.600637234262574[/C][C]-1.12475725188493[/C][/ROW]
[ROW][C]28[/C][C]241[/C][C]249.377380244479[/C][C]3.65241727915708[/C][C]-8.37738024447937[/C][C]-0.538856063824825[/C][/ROW]
[ROW][C]29[/C][C]244[/C][C]248.41476157486[/C][C]2.89875341445917[/C][C]-4.41476157486002[/C][C]-0.450204396736448[/C][/ROW]
[ROW][C]30[/C][C]252[/C][C]247.605299213414[/C][C]2.29168110655907[/C][C]4.39470078658633[/C][C]-0.361183985573463[/C][/ROW]
[ROW][C]31[/C][C]234[/C][C]245.076296954555[/C][C]1.50221075173413[/C][C]-11.0762969545547[/C][C]-0.468151634792625[/C][/ROW]
[ROW][C]32[/C][C]246[/C][C]248.265387505633[/C][C]1.77837713014097[/C][C]-2.26538750563257[/C][C]0.163700495827198[/C][/ROW]
[ROW][C]33[/C][C]265[/C][C]257.310192292884[/C][C]2.96771635439547[/C][C]7.68980770711618[/C][C]0.70531065272973[/C][/ROW]
[ROW][C]34[/C][C]277[/C][C]269.629592168479[/C][C]4.49774004916641[/C][C]7.37040783152136[/C][C]0.907454706473131[/C][/ROW]
[ROW][C]35[/C][C]287[/C][C]284.01006637718[/C][C]6.11282539148674[/C][C]2.98993362281951[/C][C]0.958565478722212[/C][/ROW]
[ROW][C]36[/C][C]275[/C][C]299.455783588524[/C][C]7.63612991285428[/C][C]-24.4557835885243[/C][C]0.908648658264646[/C][/ROW]
[ROW][C]37[/C][C]320[/C][C]289.141582244178[/C][C]4.70341540376818[/C][C]30.8584177558217[/C][C]-1.76112099132352[/C][/ROW]
[ROW][C]38[/C][C]338[/C][C]323.854649061877[/C][C]9.61322929122054[/C][C]14.145350938123[/C][C]2.91957168024689[/C][/ROW]
[ROW][C]39[/C][C]342[/C][C]339.668098905497[/C][C]10.6246723561247[/C][C]2.33190109450301[/C][C]0.595437848156679[/C][/ROW]
[ROW][C]40[/C][C]322[/C][C]336.940202776897[/C][C]8.45176112889281[/C][C]-14.9402027768967[/C][C]-1.28690239030006[/C][/ROW]
[ROW][C]41[/C][C]323[/C][C]331.697075977578[/C][C]6.22065260253856[/C][C]-8.69707597757766[/C][C]-1.3301235629141[/C][/ROW]
[ROW][C]42[/C][C]343[/C][C]335.827259605682[/C][C]5.87942321325666[/C][C]7.17274039431785[/C][C]-0.20326281454539[/C][/ROW]
[ROW][C]43[/C][C]315[/C][C]332.325108851096[/C][C]4.3469487582013[/C][C]-17.3251088510959[/C][C]-0.910102867917849[/C][/ROW]
[ROW][C]44[/C][C]334[/C][C]337.621321390457[/C][C]4.50198238927581[/C][C]-3.62132139045671[/C][C]0.0919267661750935[/C][/ROW]
[ROW][C]45[/C][C]359[/C][C]350.616057261159[/C][C]5.88838436442885[/C][C]8.38394273884107[/C][C]0.821773916748497[/C][/ROW]
[ROW][C]46[/C][C]362[/C][C]358.68917585774[/C][C]6.2447922988329[/C][C]3.31082414226023[/C][C]0.211305946818672[/C][/ROW]
[ROW][C]47[/C][C]378[/C][C]372.714326859422[/C][C]7.5129396571588[/C][C]5.28567314057845[/C][C]0.753097173754919[/C][/ROW]
[ROW][C]48[/C][C]345[/C][C]371.82392759129[/C][C]6.1436442502191[/C][C]-26.8239275912903[/C][C]-0.816386686565965[/C][/ROW]
[ROW][C]49[/C][C]422[/C][C]393.416808775968[/C][C]8.66371684812366[/C][C]28.5831912240318[/C][C]1.50559454947799[/C][/ROW]
[ROW][C]50[/C][C]430[/C][C]412.862098689782[/C][C]10.4235572305087[/C][C]17.1379013102184[/C][C]1.04549411029458[/C][/ROW]
[ROW][C]51[/C][C]443[/C][C]430.969188087072[/C][C]11.6756409147806[/C][C]12.0308119129282[/C][C]0.739745280981551[/C][/ROW]
[ROW][C]52[/C][C]431[/C][C]441.798019443998[/C][C]11.5378919853853[/C][C]-10.798019443998[/C][C]-0.0816011225569787[/C][/ROW]
[ROW][C]53[/C][C]425[/C][C]439.91125529681[/C][C]9.35358305638954[/C][C]-14.9112552968098[/C][C]-1.30024375455939[/C][/ROW]
[ROW][C]54[/C][C]432[/C][C]430.62113726779[/C][C]6.31614018351863[/C][C]1.37886273221036[/C][C]-1.80934874834049[/C][/ROW]
[ROW][C]55[/C][C]387[/C][C]415.668849855261[/C][C]2.84837784033248[/C][C]-28.6688498552609[/C][C]-2.06122507781772[/C][/ROW]
[ROW][C]56[/C][C]396[/C][C]406.914524229459[/C][C]0.9566841710292[/C][C]-10.9145242294588[/C][C]-1.12214615324423[/C][/ROW]
[ROW][C]57[/C][C]411[/C][C]404.078794797056[/C][C]0.338700405082652[/C][C]6.92120520294419[/C][C]-0.366265382862824[/C][/ROW]
[ROW][C]58[/C][C]421[/C][C]413.417069466551[/C][C]1.80413185896988[/C][C]7.58293053344926[/C][C]0.86884998791212[/C][/ROW]
[ROW][C]59[/C][C]424[/C][C]416.870982420103[/C][C]2.07260953899894[/C][C]7.12901757989663[/C][C]0.159487878951438[/C][/ROW]
[ROW][C]60[/C][C]410[/C][C]434.915230598202[/C][C]4.67203281603701[/C][C]-24.9152305982024[/C][C]1.54856623265996[/C][/ROW]
[ROW][C]61[/C][C]464[/C][C]442.014806610612[/C][C]5.06746456416534[/C][C]21.9851933893879[/C][C]0.235697508759694[/C][/ROW]
[ROW][C]62[/C][C]486[/C][C]463.236756527695[/C][C]7.69989951600069[/C][C]22.7632434723049[/C][C]1.56327822955941[/C][/ROW]
[ROW][C]63[/C][C]490[/C][C]476.136553833075[/C][C]8.54635985556259[/C][C]13.8634461669245[/C][C]0.500982911974509[/C][/ROW]
[ROW][C]64[/C][C]459[/C][C]471.465747736861[/C][C]6.39752639832533[/C][C]-12.4657477368611[/C][C]-1.27355307604416[/C][/ROW]
[ROW][C]65[/C][C]454[/C][C]465.166231676129[/C][C]4.33338765867811[/C][C]-11.1662316761294[/C][C]-1.22757099366798[/C][/ROW]
[ROW][C]66[/C][C]446[/C][C]446.787556843204[/C][C]0.63797629933088[/C][C]-0.787556843204155[/C][C]-2.20028703458656[/C][/ROW]
[ROW][C]67[/C][C]406[/C][C]434.243499946818[/C][C]-1.50831502023674[/C][C]-28.2434999468178[/C][C]-1.27612552678648[/C][/ROW]
[ROW][C]68[/C][C]412[/C][C]424.842686346223[/C][C]-2.79339932681279[/C][C]-12.8426863462228[/C][C]-0.762570621539515[/C][/ROW]
[ROW][C]69[/C][C]428[/C][C]422.965411593555[/C][C]-2.64430766774972[/C][C]5.03458840644494[/C][C]0.0883774729413083[/C][/ROW]
[ROW][C]70[/C][C]429[/C][C]422.345341339426[/C][C]-2.3151023416351[/C][C]6.65465866057405[/C][C]0.195223021774017[/C][/ROW]
[ROW][C]71[/C][C]425[/C][C]423.187581820303[/C][C]-1.80182983870722[/C][C]1.81241817969658[/C][C]0.304930311072908[/C][/ROW]
[ROW][C]72[/C][C]396[/C][C]423.347402789663[/C][C]-1.48286214497872[/C][C]-27.3474027896634[/C][C]0.189880669542828[/C][/ROW]
[ROW][C]73[/C][C]429[/C][C]417.508570092927[/C][C]-2.19162758325099[/C][C]11.4914299070727[/C][C]-0.421928825022588[/C][/ROW]
[ROW][C]74[/C][C]439[/C][C]416.293611748246[/C][C]-2.03267576906838[/C][C]22.7063882517536[/C][C]0.0943811392058972[/C][/ROW]
[ROW][C]75[/C][C]424[/C][C]407.734023510691[/C][C]-3.09417911292401[/C][C]16.2659764893087[/C][C]-0.628898811037317[/C][/ROW]
[ROW][C]76[/C][C]379[/C][C]391.201418797982[/C][C]-5.27776252864762[/C][C]-12.2014187979823[/C][C]-1.29471532448201[/C][/ROW]
[ROW][C]77[/C][C]370[/C][C]375.216819464953[/C][C]-7.01722188487514[/C][C]-5.21681946495288[/C][C]-1.03390827665664[/C][/ROW]
[ROW][C]78[/C][C]353[/C][C]354.52543727886[/C][C]-9.24001022464953[/C][C]-1.52543727886033[/C][C]-1.32274990467383[/C][/ROW]
[ROW][C]79[/C][C]322[/C][C]345.354522848623[/C][C]-9.22877209585894[/C][C]-23.3545228486232[/C][C]0.00668168750544591[/C][/ROW]
[ROW][C]80[/C][C]322[/C][C]335.852800014864[/C][C]-9.27316897893972[/C][C]-13.8528000148636[/C][C]-0.02635163914313[/C][/ROW]
[ROW][C]81[/C][C]338[/C][C]331.432138860066[/C][C]-8.48422038230278[/C][C]6.5678611399342[/C][C]0.467796625349132[/C][/ROW]
[ROW][C]82[/C][C]348[/C][C]335.972035641721[/C][C]-6.36789644130824[/C][C]12.0279643582789[/C][C]1.25530288007485[/C][/ROW]
[ROW][C]83[/C][C]350[/C][C]342.792926069248[/C][C]-4.22543534973339[/C][C]7.20707393075237[/C][C]1.27276221176536[/C][/ROW]
[ROW][C]84[/C][C]312[/C][C]339.300806860036[/C][C]-4.10628308351217[/C][C]-27.300806860036[/C][C]0.0708883601945553[/C][/ROW]
[ROW][C]85[/C][C]358[/C][C]342.139706547317[/C][C]-2.97722099514859[/C][C]15.860293452683[/C][C]0.671619779252492[/C][/ROW]
[ROW][C]86[/C][C]378[/C][C]347.246967509875[/C][C]-1.66273955355897[/C][C]30.7530324901247[/C][C]0.780477778935618[/C][/ROW]
[ROW][C]87[/C][C]352[/C][C]335.782645438032[/C][C]-3.25563185864313[/C][C]16.2173545619677[/C][C]-0.94434457257522[/C][/ROW]
[ROW][C]88[/C][C]312[/C][C]322.673380785881[/C][C]-4.85593713099367[/C][C]-10.6733807858806[/C][C]-0.94920690615562[/C][/ROW]
[ROW][C]89[/C][C]310[/C][C]311.722946231055[/C][C]-5.84556551791833[/C][C]-1.72294623105521[/C][C]-0.58802129578558[/C][/ROW]
[ROW][C]90[/C][C]292[/C][C]297.525695575687[/C][C]-7.20223079943054[/C][C]-5.52569557568697[/C][C]-0.806931128529626[/C][/ROW]
[ROW][C]91[/C][C]276[/C][C]295.486391707668[/C][C]-6.36318428170153[/C][C]-19.4863917076682[/C][C]0.498775644072501[/C][/ROW]
[ROW][C]92[/C][C]269[/C][C]287.827952266652[/C][C]-6.57369552652875[/C][C]-18.827952266652[/C][C]-0.124968750987783[/C][/ROW]
[ROW][C]93[/C][C]286[/C][C]284.174517213891[/C][C]-6.099242529466[/C][C]1.82548278610944[/C][C]0.281403797571386[/C][/ROW]
[ROW][C]94[/C][C]292[/C][C]283.058604673748[/C][C]-5.28997711205397[/C][C]8.94139532625202[/C][C]0.480125269423786[/C][/ROW]
[ROW][C]95[/C][C]288[/C][C]280.950910152769[/C][C]-4.77330005208805[/C][C]7.04908984723082[/C][C]0.306914775743428[/C][/ROW]
[ROW][C]96[/C][C]255[/C][C]282.601047496016[/C][C]-3.73017255274948[/C][C]-27.6010474960162[/C][C]0.620303133222462[/C][/ROW]
[ROW][C]97[/C][C]304[/C][C]286.557785722542[/C][C]-2.48138034429968[/C][C]17.4422142774584[/C][C]0.742470659813433[/C][/ROW]
[ROW][C]98[/C][C]299[/C][C]271.601116496437[/C][C]-4.50830531969555[/C][C]27.3988835035628[/C][C]-1.20350215833284[/C][/ROW]
[ROW][C]99[/C][C]293[/C][C]268.995811434869[/C][C]-4.19922204401513[/C][C]24.0041885651311[/C][C]0.183321972027223[/C][/ROW]
[ROW][C]100[/C][C]275[/C][C]275.912600668593[/C][C]-2.39463021840045[/C][C]-0.912600668592862[/C][C]1.0706715443311[/C][/ROW]
[ROW][C]101[/C][C]272[/C][C]272.681925706374[/C][C]-2.53033518759485[/C][C]-0.681925706374512[/C][C]-0.0806164531452879[/C][/ROW]
[ROW][C]102[/C][C]264[/C][C]270.762093807265[/C][C]-2.43121395253545[/C][C]-6.7620938072648[/C][C]0.0589322070122032[/C][/ROW]
[ROW][C]103[/C][C]234[/C][C]258.930952452761[/C][C]-3.95789815349172[/C][C]-24.930952452761[/C][C]-0.907360432896603[/C][/ROW]
[ROW][C]104[/C][C]231[/C][C]252.00207290351[/C][C]-4.44046020389076[/C][C]-21.0020729035103[/C][C]-0.286500139633687[/C][/ROW]
[ROW][C]105[/C][C]263[/C][C]257.377947141928[/C][C]-2.84645920679201[/C][C]5.62205285807194[/C][C]0.945673007966695[/C][/ROW]
[ROW][C]106[/C][C]264[/C][C]257.00785309117[/C][C]-2.44448545634706[/C][C]6.99214690882999[/C][C]0.238531212969064[/C][/ROW]
[ROW][C]107[/C][C]264[/C][C]258.19315972795[/C][C]-1.85537382768166[/C][C]5.80684027205026[/C][C]0.349912417035444[/C][/ROW]
[ROW][C]108[/C][C]245[/C][C]267.84671607669[/C][C]0.0128222209154417[/C][C]-22.8467160766903[/C][C]1.11052923595629[/C][/ROW]
[ROW][C]109[/C][C]297[/C][C]273.152833013423[/C][C]0.872310251639835[/C][C]23.8471669865771[/C][C]0.510834011975295[/C][/ROW]
[ROW][C]110[/C][C]317[/C][C]285.356658698007[/C][C]2.7123948065869[/C][C]31.6433413019933[/C][C]1.09258415971595[/C][/ROW]
[ROW][C]111[/C][C]318[/C][C]295.43910193413[/C][C]3.90889433919462[/C][C]22.5608980658702[/C][C]0.709887850549336[/C][/ROW]
[ROW][C]112[/C][C]315[/C][C]309.886922457981[/C][C]5.61925431942264[/C][C]5.11307754201867[/C][C]1.01497643007931[/C][/ROW]
[ROW][C]113[/C][C]312[/C][C]313.901887408586[/C][C]5.3589259340864[/C][C]-1.90188740858554[/C][C]-0.154628246524545[/C][/ROW]
[ROW][C]114[/C][C]310[/C][C]314.812327424844[/C][C]4.63693952103358[/C][C]-4.81232742484421[/C][C]-0.429116978456807[/C][/ROW]
[ROW][C]115[/C][C]306[/C][C]325.946244169779[/C][C]5.69166115480419[/C][C]-19.9462441697788[/C][C]0.626736468128345[/C][/ROW]
[ROW][C]116[/C][C]313[/C][C]336.134604222552[/C][C]6.42169869609765[/C][C]-23.1346042225517[/C][C]0.433456485337324[/C][/ROW]
[ROW][C]117[/C][C]350[/C][C]344.781120782374[/C][C]6.78282606426943[/C][C]5.21887921762561[/C][C]0.214293228080746[/C][/ROW]
[ROW][C]118[/C][C]354[/C][C]350.406588373671[/C][C]6.59501788028686[/C][C]3.59341162632936[/C][C]-0.111463029292857[/C][/ROW]
[ROW][C]119[/C][C]371[/C][C]365.225947833685[/C][C]7.92945303133739[/C][C]5.77405216631545[/C][C]0.792551625563327[/C][/ROW]
[ROW][C]120[/C][C]357[/C][C]380.09299092053[/C][C]9.05524943782317[/C][C]-23.0929909205302[/C][C]0.669031301936746[/C][/ROW]
[ROW][C]121[/C][C]419[/C][C]396.836264649511[/C][C]10.3030927451298[/C][C]22.1637353504889[/C][C]0.741470574092062[/C][/ROW]
[ROW][C]122[/C][C]425[/C][C]401.613886703857[/C][C]9.40619744864034[/C][C]23.3861132961435[/C][C]-0.53255794223759[/C][/ROW]
[ROW][C]123[/C][C]424[/C][C]406.932511599936[/C][C]8.74281999720658[/C][C]17.0674884000641[/C][C]-0.393674772167017[/C][/ROW]
[ROW][C]124[/C][C]399[/C][C]400.98261283837[/C][C]6.35892643891763[/C][C]-1.9826128383701[/C][C]-1.41489565648398[/C][/ROW]
[ROW][C]125[/C][C]393[/C][C]397.638994921315[/C][C]4.78483876931274[/C][C]-4.63899492131465[/C][C]-0.934879955040519[/C][/ROW]
[ROW][C]126[/C][C]378[/C][C]391.380618930969[/C][C]2.99302295967672[/C][C]-13.3806189309694[/C][C]-1.0647160862244[/C][/ROW]
[ROW][C]127[/C][C]371[/C][C]392.643788284037[/C][C]2.71229294940045[/C][C]-21.6437882840365[/C][C]-0.166788100993731[/C][/ROW]
[ROW][C]128[/C][C]364[/C][C]390.76680201095[/C][C]1.9674844379064[/C][C]-26.7668020109496[/C][C]-0.442244775838963[/C][/ROW]
[ROW][C]129[/C][C]384[/C][C]384.125924282892[/C][C]0.570609096626927[/C][C]-0.125924282892463[/C][C]-0.82905058209792[/C][/ROW]
[ROW][C]130[/C][C]377[/C][C]379.815883405965[/C][C]-0.221208142534519[/C][C]-2.81588340596458[/C][C]-0.469997868427708[/C][/ROW]
[ROW][C]131[/C][C]383[/C][C]380.260922040984[/C][C]-0.113128344572037[/C][C]2.73907795901561[/C][C]0.064187381907292[/C][/ROW]
[ROW][C]132[/C][C]352[/C][C]378.892252420373[/C][C]-0.316823798674682[/C][C]-26.8922524203734[/C][C]-0.121025518643652[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=149836&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=149836&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
1274274000
2291287.4328163481240.8074378877701423.567183651875621.03222464681055
3280283.7453423054010.439637940573265-3.74534230540102-0.438523977006527
4258266.906991335022-1.19694932357596-8.90699133502252-1.85732307258326
5252254.392264458332-2.44605809341732-2.3922644583316-1.19447224422177
6251249.703478932256-2.728099046164741.29652106774405-0.232140170741192
7224231.647743759524-4.84624694938476-7.64774375952383-1.56627436641324
8225223.540177846142-5.326268347279161.45982215385819-0.330231750887321
9234228.107754324003-3.808503055870785.892245675997190.995210476868805
10233231.277431269154-2.708344827041681.722568730845510.698585262744063
11229229.720047385856-2.52354399806848-0.7200473858561640.114832378052107
12208214.663054575408-4.56080119662471-6.66305457540753-1.24749972420761
13224219.409191487813-3.117208084420854.59080851218670.992244843420648
14226219.058345816237-2.664655154647866.941654183762610.268319743852939
15223219.581233465679-2.145454796199463.418766534320890.296267430524105
16205213.609233873179-2.76877685739827-8.60923387317898-0.372203872070445
17201205.096394280095-3.70934851889572-4.09639428009514-0.564076892577279
18202196.657402375083-4.485364502995335.34259762491692-0.461944096554097
19183190.160572852898-4.81551122012524-7.1605728528984-0.196056807513661
20188188.460956396599-4.3038864145841-0.4609563965991720.303864704843986
21200192.610920866812-2.914962388555067.389079133188450.825138347946265
22206199.738112954374-1.264502448025376.261887045626350.980427181662004
23211205.558130864823-0.1010969848006515.441869135176510.690751243682241
24201210.1190155611810.662120493066022-9.11901556118150.45493641168183
25299263.0930109238529.2122775528953435.90698907614845.21500587620956
26244255.7176983700896.4888851610084-11.7176983700892-1.62146990255326
27251250.3993627657374.561397871993060.600637234262574-1.12475725188493
28241249.3773802444793.65241727915708-8.37738024447937-0.538856063824825
29244248.414761574862.89875341445917-4.41476157486002-0.450204396736448
30252247.6052992134142.291681106559074.39470078658633-0.361183985573463
31234245.0762969545551.50221075173413-11.0762969545547-0.468151634792625
32246248.2653875056331.77837713014097-2.265387505632570.163700495827198
33265257.3101922928842.967716354395477.689807707116180.70531065272973
34277269.6295921684794.497740049166417.370407831521360.907454706473131
35287284.010066377186.112825391486742.989933622819510.958565478722212
36275299.4557835885247.63612991285428-24.45578358852430.908648658264646
37320289.1415822441784.7034154037681830.8584177558217-1.76112099132352
38338323.8546490618779.6132292912205414.1453509381232.91957168024689
39342339.66809890549710.62467235612472.331901094503010.595437848156679
40322336.9402027768978.45176112889281-14.9402027768967-1.28690239030006
41323331.6970759775786.22065260253856-8.69707597757766-1.3301235629141
42343335.8272596056825.879423213256667.17274039431785-0.20326281454539
43315332.3251088510964.3469487582013-17.3251088510959-0.910102867917849
44334337.6213213904574.50198238927581-3.621321390456710.0919267661750935
45359350.6160572611595.888384364428858.383942738841070.821773916748497
46362358.689175857746.24479229883293.310824142260230.211305946818672
47378372.7143268594227.51293965715885.285673140578450.753097173754919
48345371.823927591296.1436442502191-26.8239275912903-0.816386686565965
49422393.4168087759688.6637168481236628.58319122403181.50559454947799
50430412.86209868978210.423557230508717.13790131021841.04549411029458
51443430.96918808707211.675640914780612.03081191292820.739745280981551
52431441.79801944399811.5378919853853-10.798019443998-0.0816011225569787
53425439.911255296819.35358305638954-14.9112552968098-1.30024375455939
54432430.621137267796.316140183518631.37886273221036-1.80934874834049
55387415.6688498552612.84837784033248-28.6688498552609-2.06122507781772
56396406.9145242294590.9566841710292-10.9145242294588-1.12214615324423
57411404.0787947970560.3387004050826526.92120520294419-0.366265382862824
58421413.4170694665511.804131858969887.582930533449260.86884998791212
59424416.8709824201032.072609538998947.129017579896630.159487878951438
60410434.9152305982024.67203281603701-24.91523059820241.54856623265996
61464442.0148066106125.0674645641653421.98519338938790.235697508759694
62486463.2367565276957.6998995160006922.76324347230491.56327822955941
63490476.1365538330758.5463598555625913.86344616692450.500982911974509
64459471.4657477368616.39752639832533-12.4657477368611-1.27355307604416
65454465.1662316761294.33338765867811-11.1662316761294-1.22757099366798
66446446.7875568432040.63797629933088-0.787556843204155-2.20028703458656
67406434.243499946818-1.50831502023674-28.2434999468178-1.27612552678648
68412424.842686346223-2.79339932681279-12.8426863462228-0.762570621539515
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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')