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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, 20 Nov 2014 12:37:59 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Nov/20/t14164870859use3jpc27cm8zg.htm/, Retrieved Sun, 19 May 2024 14:58:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=257023, Retrieved Sun, 19 May 2024 14:58:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact67
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [Structural Time Series Models] [Unemployment] [2010-11-30 13:26:46] [b98453cac15ba1066b407e146608df68]
- RMPD      [Structural Time Series Models] [] [2014-11-20 12:37:59] [4bf1efda48b6e8e35beb7b429a900cbb] [Current]
-   PD        [Structural Time Series Models] [] [2014-11-20 14:23:38] [95c11abf048d3a1e472aeccb09199113]
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Dataseries X:
68.897
38.683
44.720
39.525
45.315
50.380
40.600
36.279
42.438
38.064
31.879
11.379
70.249
39.253
47.060
41.697
38.708
49.267
39.018
32.228
40.870
39.383
34.571
12.066
70.938
34.077
45.409
40.809
37.013
44.953
37.848
32.745
43.412
34.931
33.008
8.620
68.906
39.556
50.669
36.432
40.891
48.428
36.222
33.425
39.401
37.967
34.801
12.657
69.116
41.519
51.321
38.529
41.547
52.073
38.401
40.898
40.439
41.888
37.898
8.771
68.184
50.530
47.221
41.756
45.633
48.138
39.486
39.341
41.117
41.629
29.722
7.054
56.676
34.870
35.117
30.169
30.936
35.699
33.228
27.733
33.666
35.429
27.438
8.170
63.410
38.040
45.389
37.353
37.024
50.957
37.994
36.454
46.080
43.373
37.395
10.963
76.058
50.179
57.452
47.568
50.050
50.856
41.992
39.284
44.521
43.832
41.153
17.100
70.487
43.982
52.169
40.661
47.725
76.489
30.251
33.041
31.570
27.000
30.129
18.394
48.081
32.295
35.890
30.538
30.089
35.285
30.666
28.623
31.504
36.784
40.659
39.163
44.568
33.625
29.530
28.479
31.092
32.950
29.867
25.722
30.214
35.424




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=257023&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=257023&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=257023&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
168.89768.897000
238.68347.31584795514-0.934542340286412-8.63284795513998-3.6627805276772
344.7243.0282906223634-1.114855707821591.69170937763665-0.648634585108667
439.52540.7727325884187-1.15428439624787-1.24773258841866-0.264734588644925
545.31543.1154638834473-1.086415851479892.199536116552710.838747947477594
650.3847.8177487218374-1.005932984232262.562251278162581.3898310626084
740.645.0884800818675-1.02928578461736-4.48848008186753-0.413051692842317
836.27940.0562848766388-1.08805340825061-3.77728487663878-0.957862109222168
942.43840.6890558740851-1.060889950346341.748944125914860.411285369307562
1038.06439.6805686400089-1.0600209128725-1.61656864000890.0125138654320783
1131.87935.5297928061023-1.11312859782739-3.65079280610225-0.737559933638307
1211.37921.8463568370966-1.33563695365428-10.4673568370966-2.99769810422181
1370.24934.9951645994466-1.5920771008052335.25383540055343.72270724638262
1439.25341.9283457264899-1.50877938863519-2.675345726489922.0364688505979
1547.0644.8764661608876-1.37923900521122.183533839112430.980296615423065
1641.69745.6027241224094-1.31304558483808-3.905724122409420.478074845687306
1738.70842.3218857571446-1.36544222935178-3.61388575714458-0.462230064066394
1849.26743.4250172621849-1.311172660048215.841982737815140.585561067359338
1939.01842.7678325859264-1.29823279301961-3.749832585926410.155231801672105
2032.22839.4870078890309-1.33691149905332-7.25900788903088-0.470190225338614
2140.8738.2382321100753-1.335144077636082.631767889924650.0208847739177475
2239.38337.5309758797025-1.322363593303121.852024120297490.148655016554578
2334.57135.2050224274815-1.34170801340043-0.634022427481485-0.237227889603804
2412.06631.8787146709147-1.37339341334371-19.8127146709147-0.469498775554197
2570.93835.3521820784923-1.3145392180934635.58581792150771.16244979371429
2634.07737.50645836329-1.25283528182696-3.429458363289970.818405442004465
2745.40940.957510361586-1.133127104045584.451489638414021.075366258542
2840.80942.9019364931998-1.04425848235358-2.092936493199830.704099955068355
2937.01342.3974309152469-1.02895281530653-5.384430915246870.125559150660811
3044.95340.371540617248-1.055239131319024.58145938275197-0.234284834439211
3137.84839.8969124071168-1.04088693682971-2.048912407116820.136819013149442
3232.74539.5118698941462-1.02522206308515-6.766869894146220.154530911182693
3343.41239.6497662158735-0.9978722065282553.762233784126460.273815386922061
3434.93135.4079226920151-1.07254849461703-0.476922692015077-0.762624663619105
3533.00833.2955478844395-1.09544592228105-0.287547884439539-0.244165014693213
368.6231.5948236806889-1.10804091284488-22.9748236806889-0.142340793461268
3768.90633.1635942219666-1.0527112586323635.74240577803340.631230768695341
3839.55639.6139168525303-0.880522025083604-0.05791685253026381.7560410439838
3950.66944.5877218283568-0.7274123896386136.081278171643181.35191351030621
4036.43242.04536536563-0.778660356162142-5.61336536562996-0.418002733730371
4140.89143.5518199749046-0.71320034969455-2.660819974904640.530257806689978
4248.42843.9907752448685-0.6809610192159694.437224755131470.269343242657596
4336.22241.0801418312417-0.741254539564211-4.8581418312417-0.522860918354252
4433.42539.8754194136543-0.753421302652078-6.4504194136543-0.108694977181382
4539.40136.2041430313636-0.828214923205583.19685696863642-0.683531949864236
4637.96736.12619154747-0.8094262491387771.840808452529970.17551766391489
4734.80135.3909113374341-0.8076137126464-0.5899113374340950.017338135141443
4812.65736.4676070251407-0.762232072608888-23.81060702514070.441161870059202
4969.11637.0978566402312-0.72826364305300232.01814335976880.32620020696401
5041.51940.6552819020315-0.6187409288056410.8637180979685130.999719840709484
5151.32143.1513854606948-0.5344298523084428.169614539305230.721708927291602
5238.52944.537559270348-0.480251122718532-6.0085592703480.444015835890805
5341.54744.5353465664918-0.466562549216454-2.988346566491820.110914426482011
5452.07345.3446764863045-0.4302654448617936.728323513695470.297475514382453
5538.40143.8618199877256-0.459685082282265-5.46081998772558-0.246049459920832
5640.89844.5700381967464-0.427702348572084-3.672038196746440.273028693066501
5740.43940.8888458435885-0.515089748453624-0.449845843588506-0.759705976260369
5841.88839.8878902428731-0.5279172750114212.00010975712692-0.11332732711829
5937.89839.4732866035179-0.524964179887676-1.575286603517860.0264291637840085
608.77136.4170650314286-0.590680747048667-27.6460650314286-0.590963445017022
6168.18437.0280234579998-0.55915728511011831.15597654200020.280588067455379
6250.5344.4470514393682-0.3448096728701146.082948560631811.85828684769119
6347.22143.129511438047-0.3716970393471284.091488561953-0.225712437104122
6441.75645.4435484305097-0.29578747950765-3.687548430509670.622239961907691
6545.63347.606493071292-0.225571932536874-1.973493071292040.570708818971171
6648.13844.409580275057-0.3103114811855583.72841972494302-0.691835236885049
6739.48644.1380560077056-0.309215487379419-4.652056007705570.00904818202658586
6839.34142.5368671230007-0.345257974811817-3.19586712300073-0.301399714451764
6941.11741.4801142421619-0.364847656032294-0.363114242161896-0.165816141537423
7041.62940.0555357279537-0.393698608587911.57346427204632-0.246768765344252
7129.72234.7812811042007-0.525609657535152-5.05928110420075-1.13661252422025
727.05434.7928681367862-0.511104316923683-27.73886813678620.125201849614467
7356.67631.8304227327401-0.577736676080324.8455772672599-0.571390699277202
7434.8729.680825200638-0.6210173379614175.18917479936199-0.365840102659492
7535.11730.7186685162706-0.5746522753910434.398331483729380.385217344678916
7630.16932.6739530536605-0.503071168116453-2.504953053660490.586891469543071
7730.93632.1266852691748-0.504329661171814-1.19068526917478-0.01026311155781
7835.69931.6867548049068-0.502495853690674.012245195093240.0149838193278544
7933.22834.250681088834-0.41560616671526-1.022681088834050.714394123880358
8027.73332.3783591764898-0.456568596866715-4.64535917648984-0.33937656283544
8133.66632.1160385650586-0.4511511970361271.549961434941430.0452195758936779
8235.42931.5858635651961-0.4533397558189613.84313643480395-0.0183850982266695
8327.43831.7133140540133-0.43732217681036-4.275314054013350.135141055551097
848.1733.0313141192536-0.388925136259712-24.86131411925360.408677935497557
8563.4135.7318060893868-0.30340828397974227.67819391061320.719378076275009
8638.0435.1302572816846-0.311720020627852.9097427183154-0.0693600086692032
8745.38938.6042809400318-0.2053145204301386.784719059968210.879498289303485
8837.35339.7162809739557-0.168036401241708-2.36328097395570.305826111927152
8937.02439.2610604262729-0.176194109281567-2.23706042627286-0.0667107279999698
9050.95743.7427432446779-0.04384506856436747.214256755322081.0833313597321
9137.99441.5274912691477-0.105379430968977-3.53349126914766-0.505462162414488
9236.45440.980120457085-0.117848928002164-4.52612045708502-0.102885740930675
9346.0842.7708404498308-0.06427050345125293.309159550169210.444020404811344
9443.37341.6672397209886-0.09332454522559191.7057602790114-0.24169217667827
9537.39542.1781647901969-0.0764746122490422-4.783164790196930.140532444461971
9610.96339.7714818088877-0.141446869351556-28.8084818088877-0.542181814062959
9776.05844.1257127689406-0.015811389272625631.93228723105941.04616883106766
9850.17947.43064354077920.07735967532448962.748356459220760.772335635563049
9957.45249.9563069246330.1463639630323287.495693075366960.568928397395251
10047.56850.59782670698450.160373029901341-3.02982670698450.115009798592489
10150.0552.5777967252960.211967011505582-2.527796725296010.422778140111883
10250.85647.7437972831950.06885306737015943.11220271680502-1.17333373861742
10341.99245.98400354303850.0170644078741877-3.99200354303855-0.425452639677629
10439.28445.0445043918311-0.00995653913661244-5.76050439183109-0.222549843675434
10544.52142.6885696804444-0.07603244780010511.83243031955559-0.545586934142547
10643.83242.1089039027117-0.09018221786372061.72309609728833-0.117091233890132
10741.15343.8798340500282-0.0379697524398259-2.726834050028160.432733409091734
10817.146.64352332514850.0406231507445084-29.54352332514840.651628072991544
10970.48743.9115441817995-0.037254146151406526.5754558182005-0.644945081490038
11043.98242.8155594169344-0.06705841313853271.16644058306557-0.24619528817338
11152.16943.7943258421503-0.03754275413187898.374674157849680.243060214556347
11240.66143.8446672633711-0.035057108233329-3.183667263371080.0204189044856248
11347.72545.68414400925570.01802818813704982.040855990744310.435611272256973
11476.48959.65188378924640.41314677589012116.83711621075363.24329114009959
11530.25148.06611697948120.0735562407186945-17.8151169794812-2.79074911093297
11633.04141.0528762691652-0.126717831281525-8.0118762691652-1.64824432781249
11731.5734.3734879212516-0.311583541830243-2.80348792125162-1.5235986385985
1182729.3718920955847-0.443705794198873-2.37189209558475-1.09027561824441
11930.12930.8396793354622-0.389903597893736-0.7106793354622120.444386724161696
12018.39439.010933951387-0.148950432249076-20.61693395138711.99075098267615
12148.08130.8411256274771-0.37485814046768417.2398743725229-1.86529374098286
12232.29530.0827158404397-0.3856744474453882.21228415956031-0.0891797937527022
12335.8929.053825796225-0.4038392807680446.83617420377503-0.149502045754657
12430.53832.6247048974178-0.29145362919353-2.086704897417820.923651103216494
12530.08932.9272381071718-0.274646281633256-2.838238107171830.138047162952687
12635.28521.5408244084989-0.58910153057226213.7441755915011-2.58327014798169
12730.66631.2673332697565-0.297306445212171-0.6013332697564982.3987432843356
12828.62333.3400410539477-0.230322507873707-4.717041053947670.551104643135672
12931.50433.1263204425043-0.229853745722163-1.622320442504270.00385975676162951
13036.78437.1567485779331-0.109665345794144-0.3727485779331370.990327658848811
13140.65941.27421862045460.00952717285468918-0.6152186204546030.982661123687155
13239.16349.30654507433730.235734832693346-10.14354507433731.86530501499952
13344.56838.9922894654472-0.06184641704265985.57571053455282-2.45306437650477
13433.62533.7467333585558-0.208165391329267-0.121733358555801-1.20516908543983
13529.5328.1507413345625-0.3603685088634061.3792586654375-1.25234526223074
13628.47927.9799455140085-0.3550094766772260.4990544859914640.0440582045603485
13731.09229.1133517810387-0.3129157419381011.978648218961320.345942460524501
13832.9526.8676065430181-0.3675821413102216.08239345698189-0.44932374413338
13929.86729.0147038273242-0.2964766801828940.8522961726757530.584674876876468
14025.72230.4719554577721-0.246911498559712-4.749955457772130.407746274421153
14130.21432.8751439195802-0.172054435692563-2.661143919580150.616078005770883
14235.42436.1502528248264-0.0747310116301709-0.7262528248264450.8012965651639

\begin{tabular}{lllllllll}
\hline
Structural Time Series Model \tabularnewline
t & Observed & Level & Slope & Seasonal & Stand. Residuals \tabularnewline
1 & 68.897 & 68.897 & 0 & 0 & 0 \tabularnewline
2 & 38.683 & 47.31584795514 & -0.934542340286412 & -8.63284795513998 & -3.6627805276772 \tabularnewline
3 & 44.72 & 43.0282906223634 & -1.11485570782159 & 1.69170937763665 & -0.648634585108667 \tabularnewline
4 & 39.525 & 40.7727325884187 & -1.15428439624787 & -1.24773258841866 & -0.264734588644925 \tabularnewline
5 & 45.315 & 43.1154638834473 & -1.08641585147989 & 2.19953611655271 & 0.838747947477594 \tabularnewline
6 & 50.38 & 47.8177487218374 & -1.00593298423226 & 2.56225127816258 & 1.3898310626084 \tabularnewline
7 & 40.6 & 45.0884800818675 & -1.02928578461736 & -4.48848008186753 & -0.413051692842317 \tabularnewline
8 & 36.279 & 40.0562848766388 & -1.08805340825061 & -3.77728487663878 & -0.957862109222168 \tabularnewline
9 & 42.438 & 40.6890558740851 & -1.06088995034634 & 1.74894412591486 & 0.411285369307562 \tabularnewline
10 & 38.064 & 39.6805686400089 & -1.0600209128725 & -1.6165686400089 & 0.0125138654320783 \tabularnewline
11 & 31.879 & 35.5297928061023 & -1.11312859782739 & -3.65079280610225 & -0.737559933638307 \tabularnewline
12 & 11.379 & 21.8463568370966 & -1.33563695365428 & -10.4673568370966 & -2.99769810422181 \tabularnewline
13 & 70.249 & 34.9951645994466 & -1.59207710080523 & 35.2538354005534 & 3.72270724638262 \tabularnewline
14 & 39.253 & 41.9283457264899 & -1.50877938863519 & -2.67534572648992 & 2.0364688505979 \tabularnewline
15 & 47.06 & 44.8764661608876 & -1.3792390052112 & 2.18353383911243 & 0.980296615423065 \tabularnewline
16 & 41.697 & 45.6027241224094 & -1.31304558483808 & -3.90572412240942 & 0.478074845687306 \tabularnewline
17 & 38.708 & 42.3218857571446 & -1.36544222935178 & -3.61388575714458 & -0.462230064066394 \tabularnewline
18 & 49.267 & 43.4250172621849 & -1.31117266004821 & 5.84198273781514 & 0.585561067359338 \tabularnewline
19 & 39.018 & 42.7678325859264 & -1.29823279301961 & -3.74983258592641 & 0.155231801672105 \tabularnewline
20 & 32.228 & 39.4870078890309 & -1.33691149905332 & -7.25900788903088 & -0.470190225338614 \tabularnewline
21 & 40.87 & 38.2382321100753 & -1.33514407763608 & 2.63176788992465 & 0.0208847739177475 \tabularnewline
22 & 39.383 & 37.5309758797025 & -1.32236359330312 & 1.85202412029749 & 0.148655016554578 \tabularnewline
23 & 34.571 & 35.2050224274815 & -1.34170801340043 & -0.634022427481485 & -0.237227889603804 \tabularnewline
24 & 12.066 & 31.8787146709147 & -1.37339341334371 & -19.8127146709147 & -0.469498775554197 \tabularnewline
25 & 70.938 & 35.3521820784923 & -1.31453921809346 & 35.5858179215077 & 1.16244979371429 \tabularnewline
26 & 34.077 & 37.50645836329 & -1.25283528182696 & -3.42945836328997 & 0.818405442004465 \tabularnewline
27 & 45.409 & 40.957510361586 & -1.13312710404558 & 4.45148963841402 & 1.075366258542 \tabularnewline
28 & 40.809 & 42.9019364931998 & -1.04425848235358 & -2.09293649319983 & 0.704099955068355 \tabularnewline
29 & 37.013 & 42.3974309152469 & -1.02895281530653 & -5.38443091524687 & 0.125559150660811 \tabularnewline
30 & 44.953 & 40.371540617248 & -1.05523913131902 & 4.58145938275197 & -0.234284834439211 \tabularnewline
31 & 37.848 & 39.8969124071168 & -1.04088693682971 & -2.04891240711682 & 0.136819013149442 \tabularnewline
32 & 32.745 & 39.5118698941462 & -1.02522206308515 & -6.76686989414622 & 0.154530911182693 \tabularnewline
33 & 43.412 & 39.6497662158735 & -0.997872206528255 & 3.76223378412646 & 0.273815386922061 \tabularnewline
34 & 34.931 & 35.4079226920151 & -1.07254849461703 & -0.476922692015077 & -0.762624663619105 \tabularnewline
35 & 33.008 & 33.2955478844395 & -1.09544592228105 & -0.287547884439539 & -0.244165014693213 \tabularnewline
36 & 8.62 & 31.5948236806889 & -1.10804091284488 & -22.9748236806889 & -0.142340793461268 \tabularnewline
37 & 68.906 & 33.1635942219666 & -1.05271125863236 & 35.7424057780334 & 0.631230768695341 \tabularnewline
38 & 39.556 & 39.6139168525303 & -0.880522025083604 & -0.0579168525302638 & 1.7560410439838 \tabularnewline
39 & 50.669 & 44.5877218283568 & -0.727412389638613 & 6.08127817164318 & 1.35191351030621 \tabularnewline
40 & 36.432 & 42.04536536563 & -0.778660356162142 & -5.61336536562996 & -0.418002733730371 \tabularnewline
41 & 40.891 & 43.5518199749046 & -0.71320034969455 & -2.66081997490464 & 0.530257806689978 \tabularnewline
42 & 48.428 & 43.9907752448685 & -0.680961019215969 & 4.43722475513147 & 0.269343242657596 \tabularnewline
43 & 36.222 & 41.0801418312417 & -0.741254539564211 & -4.8581418312417 & -0.522860918354252 \tabularnewline
44 & 33.425 & 39.8754194136543 & -0.753421302652078 & -6.4504194136543 & -0.108694977181382 \tabularnewline
45 & 39.401 & 36.2041430313636 & -0.82821492320558 & 3.19685696863642 & -0.683531949864236 \tabularnewline
46 & 37.967 & 36.12619154747 & -0.809426249138777 & 1.84080845252997 & 0.17551766391489 \tabularnewline
47 & 34.801 & 35.3909113374341 & -0.8076137126464 & -0.589911337434095 & 0.017338135141443 \tabularnewline
48 & 12.657 & 36.4676070251407 & -0.762232072608888 & -23.8106070251407 & 0.441161870059202 \tabularnewline
49 & 69.116 & 37.0978566402312 & -0.728263643053002 & 32.0181433597688 & 0.32620020696401 \tabularnewline
50 & 41.519 & 40.6552819020315 & -0.618740928805641 & 0.863718097968513 & 0.999719840709484 \tabularnewline
51 & 51.321 & 43.1513854606948 & -0.534429852308442 & 8.16961453930523 & 0.721708927291602 \tabularnewline
52 & 38.529 & 44.537559270348 & -0.480251122718532 & -6.008559270348 & 0.444015835890805 \tabularnewline
53 & 41.547 & 44.5353465664918 & -0.466562549216454 & -2.98834656649182 & 0.110914426482011 \tabularnewline
54 & 52.073 & 45.3446764863045 & -0.430265444861793 & 6.72832351369547 & 0.297475514382453 \tabularnewline
55 & 38.401 & 43.8618199877256 & -0.459685082282265 & -5.46081998772558 & -0.246049459920832 \tabularnewline
56 & 40.898 & 44.5700381967464 & -0.427702348572084 & -3.67203819674644 & 0.273028693066501 \tabularnewline
57 & 40.439 & 40.8888458435885 & -0.515089748453624 & -0.449845843588506 & -0.759705976260369 \tabularnewline
58 & 41.888 & 39.8878902428731 & -0.527917275011421 & 2.00010975712692 & -0.11332732711829 \tabularnewline
59 & 37.898 & 39.4732866035179 & -0.524964179887676 & -1.57528660351786 & 0.0264291637840085 \tabularnewline
60 & 8.771 & 36.4170650314286 & -0.590680747048667 & -27.6460650314286 & -0.590963445017022 \tabularnewline
61 & 68.184 & 37.0280234579998 & -0.559157285110118 & 31.1559765420002 & 0.280588067455379 \tabularnewline
62 & 50.53 & 44.4470514393682 & -0.344809672870114 & 6.08294856063181 & 1.85828684769119 \tabularnewline
63 & 47.221 & 43.129511438047 & -0.371697039347128 & 4.091488561953 & -0.225712437104122 \tabularnewline
64 & 41.756 & 45.4435484305097 & -0.29578747950765 & -3.68754843050967 & 0.622239961907691 \tabularnewline
65 & 45.633 & 47.606493071292 & -0.225571932536874 & -1.97349307129204 & 0.570708818971171 \tabularnewline
66 & 48.138 & 44.409580275057 & -0.310311481185558 & 3.72841972494302 & -0.691835236885049 \tabularnewline
67 & 39.486 & 44.1380560077056 & -0.309215487379419 & -4.65205600770557 & 0.00904818202658586 \tabularnewline
68 & 39.341 & 42.5368671230007 & -0.345257974811817 & -3.19586712300073 & -0.301399714451764 \tabularnewline
69 & 41.117 & 41.4801142421619 & -0.364847656032294 & -0.363114242161896 & -0.165816141537423 \tabularnewline
70 & 41.629 & 40.0555357279537 & -0.39369860858791 & 1.57346427204632 & -0.246768765344252 \tabularnewline
71 & 29.722 & 34.7812811042007 & -0.525609657535152 & -5.05928110420075 & -1.13661252422025 \tabularnewline
72 & 7.054 & 34.7928681367862 & -0.511104316923683 & -27.7388681367862 & 0.125201849614467 \tabularnewline
73 & 56.676 & 31.8304227327401 & -0.5777366760803 & 24.8455772672599 & -0.571390699277202 \tabularnewline
74 & 34.87 & 29.680825200638 & -0.621017337961417 & 5.18917479936199 & -0.365840102659492 \tabularnewline
75 & 35.117 & 30.7186685162706 & -0.574652275391043 & 4.39833148372938 & 0.385217344678916 \tabularnewline
76 & 30.169 & 32.6739530536605 & -0.503071168116453 & -2.50495305366049 & 0.586891469543071 \tabularnewline
77 & 30.936 & 32.1266852691748 & -0.504329661171814 & -1.19068526917478 & -0.01026311155781 \tabularnewline
78 & 35.699 & 31.6867548049068 & -0.50249585369067 & 4.01224519509324 & 0.0149838193278544 \tabularnewline
79 & 33.228 & 34.250681088834 & -0.41560616671526 & -1.02268108883405 & 0.714394123880358 \tabularnewline
80 & 27.733 & 32.3783591764898 & -0.456568596866715 & -4.64535917648984 & -0.33937656283544 \tabularnewline
81 & 33.666 & 32.1160385650586 & -0.451151197036127 & 1.54996143494143 & 0.0452195758936779 \tabularnewline
82 & 35.429 & 31.5858635651961 & -0.453339755818961 & 3.84313643480395 & -0.0183850982266695 \tabularnewline
83 & 27.438 & 31.7133140540133 & -0.43732217681036 & -4.27531405401335 & 0.135141055551097 \tabularnewline
84 & 8.17 & 33.0313141192536 & -0.388925136259712 & -24.8613141192536 & 0.408677935497557 \tabularnewline
85 & 63.41 & 35.7318060893868 & -0.303408283979742 & 27.6781939106132 & 0.719378076275009 \tabularnewline
86 & 38.04 & 35.1302572816846 & -0.31172002062785 & 2.9097427183154 & -0.0693600086692032 \tabularnewline
87 & 45.389 & 38.6042809400318 & -0.205314520430138 & 6.78471905996821 & 0.879498289303485 \tabularnewline
88 & 37.353 & 39.7162809739557 & -0.168036401241708 & -2.3632809739557 & 0.305826111927152 \tabularnewline
89 & 37.024 & 39.2610604262729 & -0.176194109281567 & -2.23706042627286 & -0.0667107279999698 \tabularnewline
90 & 50.957 & 43.7427432446779 & -0.0438450685643674 & 7.21425675532208 & 1.0833313597321 \tabularnewline
91 & 37.994 & 41.5274912691477 & -0.105379430968977 & -3.53349126914766 & -0.505462162414488 \tabularnewline
92 & 36.454 & 40.980120457085 & -0.117848928002164 & -4.52612045708502 & -0.102885740930675 \tabularnewline
93 & 46.08 & 42.7708404498308 & -0.0642705034512529 & 3.30915955016921 & 0.444020404811344 \tabularnewline
94 & 43.373 & 41.6672397209886 & -0.0933245452255919 & 1.7057602790114 & -0.24169217667827 \tabularnewline
95 & 37.395 & 42.1781647901969 & -0.0764746122490422 & -4.78316479019693 & 0.140532444461971 \tabularnewline
96 & 10.963 & 39.7714818088877 & -0.141446869351556 & -28.8084818088877 & -0.542181814062959 \tabularnewline
97 & 76.058 & 44.1257127689406 & -0.0158113892726256 & 31.9322872310594 & 1.04616883106766 \tabularnewline
98 & 50.179 & 47.4306435407792 & 0.0773596753244896 & 2.74835645922076 & 0.772335635563049 \tabularnewline
99 & 57.452 & 49.956306924633 & 0.146363963032328 & 7.49569307536696 & 0.568928397395251 \tabularnewline
100 & 47.568 & 50.5978267069845 & 0.160373029901341 & -3.0298267069845 & 0.115009798592489 \tabularnewline
101 & 50.05 & 52.577796725296 & 0.211967011505582 & -2.52779672529601 & 0.422778140111883 \tabularnewline
102 & 50.856 & 47.743797283195 & 0.0688530673701594 & 3.11220271680502 & -1.17333373861742 \tabularnewline
103 & 41.992 & 45.9840035430385 & 0.0170644078741877 & -3.99200354303855 & -0.425452639677629 \tabularnewline
104 & 39.284 & 45.0445043918311 & -0.00995653913661244 & -5.76050439183109 & -0.222549843675434 \tabularnewline
105 & 44.521 & 42.6885696804444 & -0.0760324478001051 & 1.83243031955559 & -0.545586934142547 \tabularnewline
106 & 43.832 & 42.1089039027117 & -0.0901822178637206 & 1.72309609728833 & -0.117091233890132 \tabularnewline
107 & 41.153 & 43.8798340500282 & -0.0379697524398259 & -2.72683405002816 & 0.432733409091734 \tabularnewline
108 & 17.1 & 46.6435233251485 & 0.0406231507445084 & -29.5435233251484 & 0.651628072991544 \tabularnewline
109 & 70.487 & 43.9115441817995 & -0.0372541461514065 & 26.5754558182005 & -0.644945081490038 \tabularnewline
110 & 43.982 & 42.8155594169344 & -0.0670584131385327 & 1.16644058306557 & -0.24619528817338 \tabularnewline
111 & 52.169 & 43.7943258421503 & -0.0375427541318789 & 8.37467415784968 & 0.243060214556347 \tabularnewline
112 & 40.661 & 43.8446672633711 & -0.035057108233329 & -3.18366726337108 & 0.0204189044856248 \tabularnewline
113 & 47.725 & 45.6841440092557 & 0.0180281881370498 & 2.04085599074431 & 0.435611272256973 \tabularnewline
114 & 76.489 & 59.6518837892464 & 0.413146775890121 & 16.8371162107536 & 3.24329114009959 \tabularnewline
115 & 30.251 & 48.0661169794812 & 0.0735562407186945 & -17.8151169794812 & -2.79074911093297 \tabularnewline
116 & 33.041 & 41.0528762691652 & -0.126717831281525 & -8.0118762691652 & -1.64824432781249 \tabularnewline
117 & 31.57 & 34.3734879212516 & -0.311583541830243 & -2.80348792125162 & -1.5235986385985 \tabularnewline
118 & 27 & 29.3718920955847 & -0.443705794198873 & -2.37189209558475 & -1.09027561824441 \tabularnewline
119 & 30.129 & 30.8396793354622 & -0.389903597893736 & -0.710679335462212 & 0.444386724161696 \tabularnewline
120 & 18.394 & 39.010933951387 & -0.148950432249076 & -20.6169339513871 & 1.99075098267615 \tabularnewline
121 & 48.081 & 30.8411256274771 & -0.374858140467684 & 17.2398743725229 & -1.86529374098286 \tabularnewline
122 & 32.295 & 30.0827158404397 & -0.385674447445388 & 2.21228415956031 & -0.0891797937527022 \tabularnewline
123 & 35.89 & 29.053825796225 & -0.403839280768044 & 6.83617420377503 & -0.149502045754657 \tabularnewline
124 & 30.538 & 32.6247048974178 & -0.29145362919353 & -2.08670489741782 & 0.923651103216494 \tabularnewline
125 & 30.089 & 32.9272381071718 & -0.274646281633256 & -2.83823810717183 & 0.138047162952687 \tabularnewline
126 & 35.285 & 21.5408244084989 & -0.589101530572262 & 13.7441755915011 & -2.58327014798169 \tabularnewline
127 & 30.666 & 31.2673332697565 & -0.297306445212171 & -0.601333269756498 & 2.3987432843356 \tabularnewline
128 & 28.623 & 33.3400410539477 & -0.230322507873707 & -4.71704105394767 & 0.551104643135672 \tabularnewline
129 & 31.504 & 33.1263204425043 & -0.229853745722163 & -1.62232044250427 & 0.00385975676162951 \tabularnewline
130 & 36.784 & 37.1567485779331 & -0.109665345794144 & -0.372748577933137 & 0.990327658848811 \tabularnewline
131 & 40.659 & 41.2742186204546 & 0.00952717285468918 & -0.615218620454603 & 0.982661123687155 \tabularnewline
132 & 39.163 & 49.3065450743373 & 0.235734832693346 & -10.1435450743373 & 1.86530501499952 \tabularnewline
133 & 44.568 & 38.9922894654472 & -0.0618464170426598 & 5.57571053455282 & -2.45306437650477 \tabularnewline
134 & 33.625 & 33.7467333585558 & -0.208165391329267 & -0.121733358555801 & -1.20516908543983 \tabularnewline
135 & 29.53 & 28.1507413345625 & -0.360368508863406 & 1.3792586654375 & -1.25234526223074 \tabularnewline
136 & 28.479 & 27.9799455140085 & -0.355009476677226 & 0.499054485991464 & 0.0440582045603485 \tabularnewline
137 & 31.092 & 29.1133517810387 & -0.312915741938101 & 1.97864821896132 & 0.345942460524501 \tabularnewline
138 & 32.95 & 26.8676065430181 & -0.367582141310221 & 6.08239345698189 & -0.44932374413338 \tabularnewline
139 & 29.867 & 29.0147038273242 & -0.296476680182894 & 0.852296172675753 & 0.584674876876468 \tabularnewline
140 & 25.722 & 30.4719554577721 & -0.246911498559712 & -4.74995545777213 & 0.407746274421153 \tabularnewline
141 & 30.214 & 32.8751439195802 & -0.172054435692563 & -2.66114391958015 & 0.616078005770883 \tabularnewline
142 & 35.424 & 36.1502528248264 & -0.0747310116301709 & -0.726252824826445 & 0.8012965651639 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=257023&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]68.897[/C][C]68.897[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]38.683[/C][C]47.31584795514[/C][C]-0.934542340286412[/C][C]-8.63284795513998[/C][C]-3.6627805276772[/C][/ROW]
[ROW][C]3[/C][C]44.72[/C][C]43.0282906223634[/C][C]-1.11485570782159[/C][C]1.69170937763665[/C][C]-0.648634585108667[/C][/ROW]
[ROW][C]4[/C][C]39.525[/C][C]40.7727325884187[/C][C]-1.15428439624787[/C][C]-1.24773258841866[/C][C]-0.264734588644925[/C][/ROW]
[ROW][C]5[/C][C]45.315[/C][C]43.1154638834473[/C][C]-1.08641585147989[/C][C]2.19953611655271[/C][C]0.838747947477594[/C][/ROW]
[ROW][C]6[/C][C]50.38[/C][C]47.8177487218374[/C][C]-1.00593298423226[/C][C]2.56225127816258[/C][C]1.3898310626084[/C][/ROW]
[ROW][C]7[/C][C]40.6[/C][C]45.0884800818675[/C][C]-1.02928578461736[/C][C]-4.48848008186753[/C][C]-0.413051692842317[/C][/ROW]
[ROW][C]8[/C][C]36.279[/C][C]40.0562848766388[/C][C]-1.08805340825061[/C][C]-3.77728487663878[/C][C]-0.957862109222168[/C][/ROW]
[ROW][C]9[/C][C]42.438[/C][C]40.6890558740851[/C][C]-1.06088995034634[/C][C]1.74894412591486[/C][C]0.411285369307562[/C][/ROW]
[ROW][C]10[/C][C]38.064[/C][C]39.6805686400089[/C][C]-1.0600209128725[/C][C]-1.6165686400089[/C][C]0.0125138654320783[/C][/ROW]
[ROW][C]11[/C][C]31.879[/C][C]35.5297928061023[/C][C]-1.11312859782739[/C][C]-3.65079280610225[/C][C]-0.737559933638307[/C][/ROW]
[ROW][C]12[/C][C]11.379[/C][C]21.8463568370966[/C][C]-1.33563695365428[/C][C]-10.4673568370966[/C][C]-2.99769810422181[/C][/ROW]
[ROW][C]13[/C][C]70.249[/C][C]34.9951645994466[/C][C]-1.59207710080523[/C][C]35.2538354005534[/C][C]3.72270724638262[/C][/ROW]
[ROW][C]14[/C][C]39.253[/C][C]41.9283457264899[/C][C]-1.50877938863519[/C][C]-2.67534572648992[/C][C]2.0364688505979[/C][/ROW]
[ROW][C]15[/C][C]47.06[/C][C]44.8764661608876[/C][C]-1.3792390052112[/C][C]2.18353383911243[/C][C]0.980296615423065[/C][/ROW]
[ROW][C]16[/C][C]41.697[/C][C]45.6027241224094[/C][C]-1.31304558483808[/C][C]-3.90572412240942[/C][C]0.478074845687306[/C][/ROW]
[ROW][C]17[/C][C]38.708[/C][C]42.3218857571446[/C][C]-1.36544222935178[/C][C]-3.61388575714458[/C][C]-0.462230064066394[/C][/ROW]
[ROW][C]18[/C][C]49.267[/C][C]43.4250172621849[/C][C]-1.31117266004821[/C][C]5.84198273781514[/C][C]0.585561067359338[/C][/ROW]
[ROW][C]19[/C][C]39.018[/C][C]42.7678325859264[/C][C]-1.29823279301961[/C][C]-3.74983258592641[/C][C]0.155231801672105[/C][/ROW]
[ROW][C]20[/C][C]32.228[/C][C]39.4870078890309[/C][C]-1.33691149905332[/C][C]-7.25900788903088[/C][C]-0.470190225338614[/C][/ROW]
[ROW][C]21[/C][C]40.87[/C][C]38.2382321100753[/C][C]-1.33514407763608[/C][C]2.63176788992465[/C][C]0.0208847739177475[/C][/ROW]
[ROW][C]22[/C][C]39.383[/C][C]37.5309758797025[/C][C]-1.32236359330312[/C][C]1.85202412029749[/C][C]0.148655016554578[/C][/ROW]
[ROW][C]23[/C][C]34.571[/C][C]35.2050224274815[/C][C]-1.34170801340043[/C][C]-0.634022427481485[/C][C]-0.237227889603804[/C][/ROW]
[ROW][C]24[/C][C]12.066[/C][C]31.8787146709147[/C][C]-1.37339341334371[/C][C]-19.8127146709147[/C][C]-0.469498775554197[/C][/ROW]
[ROW][C]25[/C][C]70.938[/C][C]35.3521820784923[/C][C]-1.31453921809346[/C][C]35.5858179215077[/C][C]1.16244979371429[/C][/ROW]
[ROW][C]26[/C][C]34.077[/C][C]37.50645836329[/C][C]-1.25283528182696[/C][C]-3.42945836328997[/C][C]0.818405442004465[/C][/ROW]
[ROW][C]27[/C][C]45.409[/C][C]40.957510361586[/C][C]-1.13312710404558[/C][C]4.45148963841402[/C][C]1.075366258542[/C][/ROW]
[ROW][C]28[/C][C]40.809[/C][C]42.9019364931998[/C][C]-1.04425848235358[/C][C]-2.09293649319983[/C][C]0.704099955068355[/C][/ROW]
[ROW][C]29[/C][C]37.013[/C][C]42.3974309152469[/C][C]-1.02895281530653[/C][C]-5.38443091524687[/C][C]0.125559150660811[/C][/ROW]
[ROW][C]30[/C][C]44.953[/C][C]40.371540617248[/C][C]-1.05523913131902[/C][C]4.58145938275197[/C][C]-0.234284834439211[/C][/ROW]
[ROW][C]31[/C][C]37.848[/C][C]39.8969124071168[/C][C]-1.04088693682971[/C][C]-2.04891240711682[/C][C]0.136819013149442[/C][/ROW]
[ROW][C]32[/C][C]32.745[/C][C]39.5118698941462[/C][C]-1.02522206308515[/C][C]-6.76686989414622[/C][C]0.154530911182693[/C][/ROW]
[ROW][C]33[/C][C]43.412[/C][C]39.6497662158735[/C][C]-0.997872206528255[/C][C]3.76223378412646[/C][C]0.273815386922061[/C][/ROW]
[ROW][C]34[/C][C]34.931[/C][C]35.4079226920151[/C][C]-1.07254849461703[/C][C]-0.476922692015077[/C][C]-0.762624663619105[/C][/ROW]
[ROW][C]35[/C][C]33.008[/C][C]33.2955478844395[/C][C]-1.09544592228105[/C][C]-0.287547884439539[/C][C]-0.244165014693213[/C][/ROW]
[ROW][C]36[/C][C]8.62[/C][C]31.5948236806889[/C][C]-1.10804091284488[/C][C]-22.9748236806889[/C][C]-0.142340793461268[/C][/ROW]
[ROW][C]37[/C][C]68.906[/C][C]33.1635942219666[/C][C]-1.05271125863236[/C][C]35.7424057780334[/C][C]0.631230768695341[/C][/ROW]
[ROW][C]38[/C][C]39.556[/C][C]39.6139168525303[/C][C]-0.880522025083604[/C][C]-0.0579168525302638[/C][C]1.7560410439838[/C][/ROW]
[ROW][C]39[/C][C]50.669[/C][C]44.5877218283568[/C][C]-0.727412389638613[/C][C]6.08127817164318[/C][C]1.35191351030621[/C][/ROW]
[ROW][C]40[/C][C]36.432[/C][C]42.04536536563[/C][C]-0.778660356162142[/C][C]-5.61336536562996[/C][C]-0.418002733730371[/C][/ROW]
[ROW][C]41[/C][C]40.891[/C][C]43.5518199749046[/C][C]-0.71320034969455[/C][C]-2.66081997490464[/C][C]0.530257806689978[/C][/ROW]
[ROW][C]42[/C][C]48.428[/C][C]43.9907752448685[/C][C]-0.680961019215969[/C][C]4.43722475513147[/C][C]0.269343242657596[/C][/ROW]
[ROW][C]43[/C][C]36.222[/C][C]41.0801418312417[/C][C]-0.741254539564211[/C][C]-4.8581418312417[/C][C]-0.522860918354252[/C][/ROW]
[ROW][C]44[/C][C]33.425[/C][C]39.8754194136543[/C][C]-0.753421302652078[/C][C]-6.4504194136543[/C][C]-0.108694977181382[/C][/ROW]
[ROW][C]45[/C][C]39.401[/C][C]36.2041430313636[/C][C]-0.82821492320558[/C][C]3.19685696863642[/C][C]-0.683531949864236[/C][/ROW]
[ROW][C]46[/C][C]37.967[/C][C]36.12619154747[/C][C]-0.809426249138777[/C][C]1.84080845252997[/C][C]0.17551766391489[/C][/ROW]
[ROW][C]47[/C][C]34.801[/C][C]35.3909113374341[/C][C]-0.8076137126464[/C][C]-0.589911337434095[/C][C]0.017338135141443[/C][/ROW]
[ROW][C]48[/C][C]12.657[/C][C]36.4676070251407[/C][C]-0.762232072608888[/C][C]-23.8106070251407[/C][C]0.441161870059202[/C][/ROW]
[ROW][C]49[/C][C]69.116[/C][C]37.0978566402312[/C][C]-0.728263643053002[/C][C]32.0181433597688[/C][C]0.32620020696401[/C][/ROW]
[ROW][C]50[/C][C]41.519[/C][C]40.6552819020315[/C][C]-0.618740928805641[/C][C]0.863718097968513[/C][C]0.999719840709484[/C][/ROW]
[ROW][C]51[/C][C]51.321[/C][C]43.1513854606948[/C][C]-0.534429852308442[/C][C]8.16961453930523[/C][C]0.721708927291602[/C][/ROW]
[ROW][C]52[/C][C]38.529[/C][C]44.537559270348[/C][C]-0.480251122718532[/C][C]-6.008559270348[/C][C]0.444015835890805[/C][/ROW]
[ROW][C]53[/C][C]41.547[/C][C]44.5353465664918[/C][C]-0.466562549216454[/C][C]-2.98834656649182[/C][C]0.110914426482011[/C][/ROW]
[ROW][C]54[/C][C]52.073[/C][C]45.3446764863045[/C][C]-0.430265444861793[/C][C]6.72832351369547[/C][C]0.297475514382453[/C][/ROW]
[ROW][C]55[/C][C]38.401[/C][C]43.8618199877256[/C][C]-0.459685082282265[/C][C]-5.46081998772558[/C][C]-0.246049459920832[/C][/ROW]
[ROW][C]56[/C][C]40.898[/C][C]44.5700381967464[/C][C]-0.427702348572084[/C][C]-3.67203819674644[/C][C]0.273028693066501[/C][/ROW]
[ROW][C]57[/C][C]40.439[/C][C]40.8888458435885[/C][C]-0.515089748453624[/C][C]-0.449845843588506[/C][C]-0.759705976260369[/C][/ROW]
[ROW][C]58[/C][C]41.888[/C][C]39.8878902428731[/C][C]-0.527917275011421[/C][C]2.00010975712692[/C][C]-0.11332732711829[/C][/ROW]
[ROW][C]59[/C][C]37.898[/C][C]39.4732866035179[/C][C]-0.524964179887676[/C][C]-1.57528660351786[/C][C]0.0264291637840085[/C][/ROW]
[ROW][C]60[/C][C]8.771[/C][C]36.4170650314286[/C][C]-0.590680747048667[/C][C]-27.6460650314286[/C][C]-0.590963445017022[/C][/ROW]
[ROW][C]61[/C][C]68.184[/C][C]37.0280234579998[/C][C]-0.559157285110118[/C][C]31.1559765420002[/C][C]0.280588067455379[/C][/ROW]
[ROW][C]62[/C][C]50.53[/C][C]44.4470514393682[/C][C]-0.344809672870114[/C][C]6.08294856063181[/C][C]1.85828684769119[/C][/ROW]
[ROW][C]63[/C][C]47.221[/C][C]43.129511438047[/C][C]-0.371697039347128[/C][C]4.091488561953[/C][C]-0.225712437104122[/C][/ROW]
[ROW][C]64[/C][C]41.756[/C][C]45.4435484305097[/C][C]-0.29578747950765[/C][C]-3.68754843050967[/C][C]0.622239961907691[/C][/ROW]
[ROW][C]65[/C][C]45.633[/C][C]47.606493071292[/C][C]-0.225571932536874[/C][C]-1.97349307129204[/C][C]0.570708818971171[/C][/ROW]
[ROW][C]66[/C][C]48.138[/C][C]44.409580275057[/C][C]-0.310311481185558[/C][C]3.72841972494302[/C][C]-0.691835236885049[/C][/ROW]
[ROW][C]67[/C][C]39.486[/C][C]44.1380560077056[/C][C]-0.309215487379419[/C][C]-4.65205600770557[/C][C]0.00904818202658586[/C][/ROW]
[ROW][C]68[/C][C]39.341[/C][C]42.5368671230007[/C][C]-0.345257974811817[/C][C]-3.19586712300073[/C][C]-0.301399714451764[/C][/ROW]
[ROW][C]69[/C][C]41.117[/C][C]41.4801142421619[/C][C]-0.364847656032294[/C][C]-0.363114242161896[/C][C]-0.165816141537423[/C][/ROW]
[ROW][C]70[/C][C]41.629[/C][C]40.0555357279537[/C][C]-0.39369860858791[/C][C]1.57346427204632[/C][C]-0.246768765344252[/C][/ROW]
[ROW][C]71[/C][C]29.722[/C][C]34.7812811042007[/C][C]-0.525609657535152[/C][C]-5.05928110420075[/C][C]-1.13661252422025[/C][/ROW]
[ROW][C]72[/C][C]7.054[/C][C]34.7928681367862[/C][C]-0.511104316923683[/C][C]-27.7388681367862[/C][C]0.125201849614467[/C][/ROW]
[ROW][C]73[/C][C]56.676[/C][C]31.8304227327401[/C][C]-0.5777366760803[/C][C]24.8455772672599[/C][C]-0.571390699277202[/C][/ROW]
[ROW][C]74[/C][C]34.87[/C][C]29.680825200638[/C][C]-0.621017337961417[/C][C]5.18917479936199[/C][C]-0.365840102659492[/C][/ROW]
[ROW][C]75[/C][C]35.117[/C][C]30.7186685162706[/C][C]-0.574652275391043[/C][C]4.39833148372938[/C][C]0.385217344678916[/C][/ROW]
[ROW][C]76[/C][C]30.169[/C][C]32.6739530536605[/C][C]-0.503071168116453[/C][C]-2.50495305366049[/C][C]0.586891469543071[/C][/ROW]
[ROW][C]77[/C][C]30.936[/C][C]32.1266852691748[/C][C]-0.504329661171814[/C][C]-1.19068526917478[/C][C]-0.01026311155781[/C][/ROW]
[ROW][C]78[/C][C]35.699[/C][C]31.6867548049068[/C][C]-0.50249585369067[/C][C]4.01224519509324[/C][C]0.0149838193278544[/C][/ROW]
[ROW][C]79[/C][C]33.228[/C][C]34.250681088834[/C][C]-0.41560616671526[/C][C]-1.02268108883405[/C][C]0.714394123880358[/C][/ROW]
[ROW][C]80[/C][C]27.733[/C][C]32.3783591764898[/C][C]-0.456568596866715[/C][C]-4.64535917648984[/C][C]-0.33937656283544[/C][/ROW]
[ROW][C]81[/C][C]33.666[/C][C]32.1160385650586[/C][C]-0.451151197036127[/C][C]1.54996143494143[/C][C]0.0452195758936779[/C][/ROW]
[ROW][C]82[/C][C]35.429[/C][C]31.5858635651961[/C][C]-0.453339755818961[/C][C]3.84313643480395[/C][C]-0.0183850982266695[/C][/ROW]
[ROW][C]83[/C][C]27.438[/C][C]31.7133140540133[/C][C]-0.43732217681036[/C][C]-4.27531405401335[/C][C]0.135141055551097[/C][/ROW]
[ROW][C]84[/C][C]8.17[/C][C]33.0313141192536[/C][C]-0.388925136259712[/C][C]-24.8613141192536[/C][C]0.408677935497557[/C][/ROW]
[ROW][C]85[/C][C]63.41[/C][C]35.7318060893868[/C][C]-0.303408283979742[/C][C]27.6781939106132[/C][C]0.719378076275009[/C][/ROW]
[ROW][C]86[/C][C]38.04[/C][C]35.1302572816846[/C][C]-0.31172002062785[/C][C]2.9097427183154[/C][C]-0.0693600086692032[/C][/ROW]
[ROW][C]87[/C][C]45.389[/C][C]38.6042809400318[/C][C]-0.205314520430138[/C][C]6.78471905996821[/C][C]0.879498289303485[/C][/ROW]
[ROW][C]88[/C][C]37.353[/C][C]39.7162809739557[/C][C]-0.168036401241708[/C][C]-2.3632809739557[/C][C]0.305826111927152[/C][/ROW]
[ROW][C]89[/C][C]37.024[/C][C]39.2610604262729[/C][C]-0.176194109281567[/C][C]-2.23706042627286[/C][C]-0.0667107279999698[/C][/ROW]
[ROW][C]90[/C][C]50.957[/C][C]43.7427432446779[/C][C]-0.0438450685643674[/C][C]7.21425675532208[/C][C]1.0833313597321[/C][/ROW]
[ROW][C]91[/C][C]37.994[/C][C]41.5274912691477[/C][C]-0.105379430968977[/C][C]-3.53349126914766[/C][C]-0.505462162414488[/C][/ROW]
[ROW][C]92[/C][C]36.454[/C][C]40.980120457085[/C][C]-0.117848928002164[/C][C]-4.52612045708502[/C][C]-0.102885740930675[/C][/ROW]
[ROW][C]93[/C][C]46.08[/C][C]42.7708404498308[/C][C]-0.0642705034512529[/C][C]3.30915955016921[/C][C]0.444020404811344[/C][/ROW]
[ROW][C]94[/C][C]43.373[/C][C]41.6672397209886[/C][C]-0.0933245452255919[/C][C]1.7057602790114[/C][C]-0.24169217667827[/C][/ROW]
[ROW][C]95[/C][C]37.395[/C][C]42.1781647901969[/C][C]-0.0764746122490422[/C][C]-4.78316479019693[/C][C]0.140532444461971[/C][/ROW]
[ROW][C]96[/C][C]10.963[/C][C]39.7714818088877[/C][C]-0.141446869351556[/C][C]-28.8084818088877[/C][C]-0.542181814062959[/C][/ROW]
[ROW][C]97[/C][C]76.058[/C][C]44.1257127689406[/C][C]-0.0158113892726256[/C][C]31.9322872310594[/C][C]1.04616883106766[/C][/ROW]
[ROW][C]98[/C][C]50.179[/C][C]47.4306435407792[/C][C]0.0773596753244896[/C][C]2.74835645922076[/C][C]0.772335635563049[/C][/ROW]
[ROW][C]99[/C][C]57.452[/C][C]49.956306924633[/C][C]0.146363963032328[/C][C]7.49569307536696[/C][C]0.568928397395251[/C][/ROW]
[ROW][C]100[/C][C]47.568[/C][C]50.5978267069845[/C][C]0.160373029901341[/C][C]-3.0298267069845[/C][C]0.115009798592489[/C][/ROW]
[ROW][C]101[/C][C]50.05[/C][C]52.577796725296[/C][C]0.211967011505582[/C][C]-2.52779672529601[/C][C]0.422778140111883[/C][/ROW]
[ROW][C]102[/C][C]50.856[/C][C]47.743797283195[/C][C]0.0688530673701594[/C][C]3.11220271680502[/C][C]-1.17333373861742[/C][/ROW]
[ROW][C]103[/C][C]41.992[/C][C]45.9840035430385[/C][C]0.0170644078741877[/C][C]-3.99200354303855[/C][C]-0.425452639677629[/C][/ROW]
[ROW][C]104[/C][C]39.284[/C][C]45.0445043918311[/C][C]-0.00995653913661244[/C][C]-5.76050439183109[/C][C]-0.222549843675434[/C][/ROW]
[ROW][C]105[/C][C]44.521[/C][C]42.6885696804444[/C][C]-0.0760324478001051[/C][C]1.83243031955559[/C][C]-0.545586934142547[/C][/ROW]
[ROW][C]106[/C][C]43.832[/C][C]42.1089039027117[/C][C]-0.0901822178637206[/C][C]1.72309609728833[/C][C]-0.117091233890132[/C][/ROW]
[ROW][C]107[/C][C]41.153[/C][C]43.8798340500282[/C][C]-0.0379697524398259[/C][C]-2.72683405002816[/C][C]0.432733409091734[/C][/ROW]
[ROW][C]108[/C][C]17.1[/C][C]46.6435233251485[/C][C]0.0406231507445084[/C][C]-29.5435233251484[/C][C]0.651628072991544[/C][/ROW]
[ROW][C]109[/C][C]70.487[/C][C]43.9115441817995[/C][C]-0.0372541461514065[/C][C]26.5754558182005[/C][C]-0.644945081490038[/C][/ROW]
[ROW][C]110[/C][C]43.982[/C][C]42.8155594169344[/C][C]-0.0670584131385327[/C][C]1.16644058306557[/C][C]-0.24619528817338[/C][/ROW]
[ROW][C]111[/C][C]52.169[/C][C]43.7943258421503[/C][C]-0.0375427541318789[/C][C]8.37467415784968[/C][C]0.243060214556347[/C][/ROW]
[ROW][C]112[/C][C]40.661[/C][C]43.8446672633711[/C][C]-0.035057108233329[/C][C]-3.18366726337108[/C][C]0.0204189044856248[/C][/ROW]
[ROW][C]113[/C][C]47.725[/C][C]45.6841440092557[/C][C]0.0180281881370498[/C][C]2.04085599074431[/C][C]0.435611272256973[/C][/ROW]
[ROW][C]114[/C][C]76.489[/C][C]59.6518837892464[/C][C]0.413146775890121[/C][C]16.8371162107536[/C][C]3.24329114009959[/C][/ROW]
[ROW][C]115[/C][C]30.251[/C][C]48.0661169794812[/C][C]0.0735562407186945[/C][C]-17.8151169794812[/C][C]-2.79074911093297[/C][/ROW]
[ROW][C]116[/C][C]33.041[/C][C]41.0528762691652[/C][C]-0.126717831281525[/C][C]-8.0118762691652[/C][C]-1.64824432781249[/C][/ROW]
[ROW][C]117[/C][C]31.57[/C][C]34.3734879212516[/C][C]-0.311583541830243[/C][C]-2.80348792125162[/C][C]-1.5235986385985[/C][/ROW]
[ROW][C]118[/C][C]27[/C][C]29.3718920955847[/C][C]-0.443705794198873[/C][C]-2.37189209558475[/C][C]-1.09027561824441[/C][/ROW]
[ROW][C]119[/C][C]30.129[/C][C]30.8396793354622[/C][C]-0.389903597893736[/C][C]-0.710679335462212[/C][C]0.444386724161696[/C][/ROW]
[ROW][C]120[/C][C]18.394[/C][C]39.010933951387[/C][C]-0.148950432249076[/C][C]-20.6169339513871[/C][C]1.99075098267615[/C][/ROW]
[ROW][C]121[/C][C]48.081[/C][C]30.8411256274771[/C][C]-0.374858140467684[/C][C]17.2398743725229[/C][C]-1.86529374098286[/C][/ROW]
[ROW][C]122[/C][C]32.295[/C][C]30.0827158404397[/C][C]-0.385674447445388[/C][C]2.21228415956031[/C][C]-0.0891797937527022[/C][/ROW]
[ROW][C]123[/C][C]35.89[/C][C]29.053825796225[/C][C]-0.403839280768044[/C][C]6.83617420377503[/C][C]-0.149502045754657[/C][/ROW]
[ROW][C]124[/C][C]30.538[/C][C]32.6247048974178[/C][C]-0.29145362919353[/C][C]-2.08670489741782[/C][C]0.923651103216494[/C][/ROW]
[ROW][C]125[/C][C]30.089[/C][C]32.9272381071718[/C][C]-0.274646281633256[/C][C]-2.83823810717183[/C][C]0.138047162952687[/C][/ROW]
[ROW][C]126[/C][C]35.285[/C][C]21.5408244084989[/C][C]-0.589101530572262[/C][C]13.7441755915011[/C][C]-2.58327014798169[/C][/ROW]
[ROW][C]127[/C][C]30.666[/C][C]31.2673332697565[/C][C]-0.297306445212171[/C][C]-0.601333269756498[/C][C]2.3987432843356[/C][/ROW]
[ROW][C]128[/C][C]28.623[/C][C]33.3400410539477[/C][C]-0.230322507873707[/C][C]-4.71704105394767[/C][C]0.551104643135672[/C][/ROW]
[ROW][C]129[/C][C]31.504[/C][C]33.1263204425043[/C][C]-0.229853745722163[/C][C]-1.62232044250427[/C][C]0.00385975676162951[/C][/ROW]
[ROW][C]130[/C][C]36.784[/C][C]37.1567485779331[/C][C]-0.109665345794144[/C][C]-0.372748577933137[/C][C]0.990327658848811[/C][/ROW]
[ROW][C]131[/C][C]40.659[/C][C]41.2742186204546[/C][C]0.00952717285468918[/C][C]-0.615218620454603[/C][C]0.982661123687155[/C][/ROW]
[ROW][C]132[/C][C]39.163[/C][C]49.3065450743373[/C][C]0.235734832693346[/C][C]-10.1435450743373[/C][C]1.86530501499952[/C][/ROW]
[ROW][C]133[/C][C]44.568[/C][C]38.9922894654472[/C][C]-0.0618464170426598[/C][C]5.57571053455282[/C][C]-2.45306437650477[/C][/ROW]
[ROW][C]134[/C][C]33.625[/C][C]33.7467333585558[/C][C]-0.208165391329267[/C][C]-0.121733358555801[/C][C]-1.20516908543983[/C][/ROW]
[ROW][C]135[/C][C]29.53[/C][C]28.1507413345625[/C][C]-0.360368508863406[/C][C]1.3792586654375[/C][C]-1.25234526223074[/C][/ROW]
[ROW][C]136[/C][C]28.479[/C][C]27.9799455140085[/C][C]-0.355009476677226[/C][C]0.499054485991464[/C][C]0.0440582045603485[/C][/ROW]
[ROW][C]137[/C][C]31.092[/C][C]29.1133517810387[/C][C]-0.312915741938101[/C][C]1.97864821896132[/C][C]0.345942460524501[/C][/ROW]
[ROW][C]138[/C][C]32.95[/C][C]26.8676065430181[/C][C]-0.367582141310221[/C][C]6.08239345698189[/C][C]-0.44932374413338[/C][/ROW]
[ROW][C]139[/C][C]29.867[/C][C]29.0147038273242[/C][C]-0.296476680182894[/C][C]0.852296172675753[/C][C]0.584674876876468[/C][/ROW]
[ROW][C]140[/C][C]25.722[/C][C]30.4719554577721[/C][C]-0.246911498559712[/C][C]-4.74995545777213[/C][C]0.407746274421153[/C][/ROW]
[ROW][C]141[/C][C]30.214[/C][C]32.8751439195802[/C][C]-0.172054435692563[/C][C]-2.66114391958015[/C][C]0.616078005770883[/C][/ROW]
[ROW][C]142[/C][C]35.424[/C][C]36.1502528248264[/C][C]-0.0747310116301709[/C][C]-0.726252824826445[/C][C]0.8012965651639[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=257023&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=257023&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
168.89768.897000
238.68347.31584795514-0.934542340286412-8.63284795513998-3.6627805276772
344.7243.0282906223634-1.114855707821591.69170937763665-0.648634585108667
439.52540.7727325884187-1.15428439624787-1.24773258841866-0.264734588644925
545.31543.1154638834473-1.086415851479892.199536116552710.838747947477594
650.3847.8177487218374-1.005932984232262.562251278162581.3898310626084
740.645.0884800818675-1.02928578461736-4.48848008186753-0.413051692842317
836.27940.0562848766388-1.08805340825061-3.77728487663878-0.957862109222168
942.43840.6890558740851-1.060889950346341.748944125914860.411285369307562
1038.06439.6805686400089-1.0600209128725-1.61656864000890.0125138654320783
1131.87935.5297928061023-1.11312859782739-3.65079280610225-0.737559933638307
1211.37921.8463568370966-1.33563695365428-10.4673568370966-2.99769810422181
1370.24934.9951645994466-1.5920771008052335.25383540055343.72270724638262
1439.25341.9283457264899-1.50877938863519-2.675345726489922.0364688505979
1547.0644.8764661608876-1.37923900521122.183533839112430.980296615423065
1641.69745.6027241224094-1.31304558483808-3.905724122409420.478074845687306
1738.70842.3218857571446-1.36544222935178-3.61388575714458-0.462230064066394
1849.26743.4250172621849-1.311172660048215.841982737815140.585561067359338
1939.01842.7678325859264-1.29823279301961-3.749832585926410.155231801672105
2032.22839.4870078890309-1.33691149905332-7.25900788903088-0.470190225338614
2140.8738.2382321100753-1.335144077636082.631767889924650.0208847739177475
2239.38337.5309758797025-1.322363593303121.852024120297490.148655016554578
2334.57135.2050224274815-1.34170801340043-0.634022427481485-0.237227889603804
2412.06631.8787146709147-1.37339341334371-19.8127146709147-0.469498775554197
2570.93835.3521820784923-1.3145392180934635.58581792150771.16244979371429
2634.07737.50645836329-1.25283528182696-3.429458363289970.818405442004465
2745.40940.957510361586-1.133127104045584.451489638414021.075366258542
2840.80942.9019364931998-1.04425848235358-2.092936493199830.704099955068355
2937.01342.3974309152469-1.02895281530653-5.384430915246870.125559150660811
3044.95340.371540617248-1.055239131319024.58145938275197-0.234284834439211
3137.84839.8969124071168-1.04088693682971-2.048912407116820.136819013149442
3232.74539.5118698941462-1.02522206308515-6.766869894146220.154530911182693
3343.41239.6497662158735-0.9978722065282553.762233784126460.273815386922061
3434.93135.4079226920151-1.07254849461703-0.476922692015077-0.762624663619105
3533.00833.2955478844395-1.09544592228105-0.287547884439539-0.244165014693213
368.6231.5948236806889-1.10804091284488-22.9748236806889-0.142340793461268
3768.90633.1635942219666-1.0527112586323635.74240577803340.631230768695341
3839.55639.6139168525303-0.880522025083604-0.05791685253026381.7560410439838
3950.66944.5877218283568-0.7274123896386136.081278171643181.35191351030621
4036.43242.04536536563-0.778660356162142-5.61336536562996-0.418002733730371
4140.89143.5518199749046-0.71320034969455-2.660819974904640.530257806689978
4248.42843.9907752448685-0.6809610192159694.437224755131470.269343242657596
4336.22241.0801418312417-0.741254539564211-4.8581418312417-0.522860918354252
4433.42539.8754194136543-0.753421302652078-6.4504194136543-0.108694977181382
4539.40136.2041430313636-0.828214923205583.19685696863642-0.683531949864236
4637.96736.12619154747-0.8094262491387771.840808452529970.17551766391489
4734.80135.3909113374341-0.8076137126464-0.5899113374340950.017338135141443
4812.65736.4676070251407-0.762232072608888-23.81060702514070.441161870059202
4969.11637.0978566402312-0.72826364305300232.01814335976880.32620020696401
5041.51940.6552819020315-0.6187409288056410.8637180979685130.999719840709484
5151.32143.1513854606948-0.5344298523084428.169614539305230.721708927291602
5238.52944.537559270348-0.480251122718532-6.0085592703480.444015835890805
5341.54744.5353465664918-0.466562549216454-2.988346566491820.110914426482011
5452.07345.3446764863045-0.4302654448617936.728323513695470.297475514382453
5538.40143.8618199877256-0.459685082282265-5.46081998772558-0.246049459920832
5640.89844.5700381967464-0.427702348572084-3.672038196746440.273028693066501
5740.43940.8888458435885-0.515089748453624-0.449845843588506-0.759705976260369
5841.88839.8878902428731-0.5279172750114212.00010975712692-0.11332732711829
5937.89839.4732866035179-0.524964179887676-1.575286603517860.0264291637840085
608.77136.4170650314286-0.590680747048667-27.6460650314286-0.590963445017022
6168.18437.0280234579998-0.55915728511011831.15597654200020.280588067455379
6250.5344.4470514393682-0.3448096728701146.082948560631811.85828684769119
6347.22143.129511438047-0.3716970393471284.091488561953-0.225712437104122
6441.75645.4435484305097-0.29578747950765-3.687548430509670.622239961907691
6545.63347.606493071292-0.225571932536874-1.973493071292040.570708818971171
6648.13844.409580275057-0.3103114811855583.72841972494302-0.691835236885049
6739.48644.1380560077056-0.309215487379419-4.652056007705570.00904818202658586
6839.34142.5368671230007-0.345257974811817-3.19586712300073-0.301399714451764
6941.11741.4801142421619-0.364847656032294-0.363114242161896-0.165816141537423
7041.62940.0555357279537-0.393698608587911.57346427204632-0.246768765344252
7129.72234.7812811042007-0.525609657535152-5.05928110420075-1.13661252422025
727.05434.7928681367862-0.511104316923683-27.73886813678620.125201849614467
7356.67631.8304227327401-0.577736676080324.8455772672599-0.571390699277202
7434.8729.680825200638-0.6210173379614175.18917479936199-0.365840102659492
7535.11730.7186685162706-0.5746522753910434.398331483729380.385217344678916
7630.16932.6739530536605-0.503071168116453-2.504953053660490.586891469543071
7730.93632.1266852691748-0.504329661171814-1.19068526917478-0.01026311155781
7835.69931.6867548049068-0.502495853690674.012245195093240.0149838193278544
7933.22834.250681088834-0.41560616671526-1.022681088834050.714394123880358
8027.73332.3783591764898-0.456568596866715-4.64535917648984-0.33937656283544
8133.66632.1160385650586-0.4511511970361271.549961434941430.0452195758936779
8235.42931.5858635651961-0.4533397558189613.84313643480395-0.0183850982266695
8327.43831.7133140540133-0.43732217681036-4.275314054013350.135141055551097
848.1733.0313141192536-0.388925136259712-24.86131411925360.408677935497557
8563.4135.7318060893868-0.30340828397974227.67819391061320.719378076275009
8638.0435.1302572816846-0.311720020627852.9097427183154-0.0693600086692032
8745.38938.6042809400318-0.2053145204301386.784719059968210.879498289303485
8837.35339.7162809739557-0.168036401241708-2.36328097395570.305826111927152
8937.02439.2610604262729-0.176194109281567-2.23706042627286-0.0667107279999698
9050.95743.7427432446779-0.04384506856436747.214256755322081.0833313597321
9137.99441.5274912691477-0.105379430968977-3.53349126914766-0.505462162414488
9236.45440.980120457085-0.117848928002164-4.52612045708502-0.102885740930675
9346.0842.7708404498308-0.06427050345125293.309159550169210.444020404811344
9443.37341.6672397209886-0.09332454522559191.7057602790114-0.24169217667827
9537.39542.1781647901969-0.0764746122490422-4.783164790196930.140532444461971
9610.96339.7714818088877-0.141446869351556-28.8084818088877-0.542181814062959
9776.05844.1257127689406-0.015811389272625631.93228723105941.04616883106766
9850.17947.43064354077920.07735967532448962.748356459220760.772335635563049
9957.45249.9563069246330.1463639630323287.495693075366960.568928397395251
10047.56850.59782670698450.160373029901341-3.02982670698450.115009798592489
10150.0552.5777967252960.211967011505582-2.527796725296010.422778140111883
10250.85647.7437972831950.06885306737015943.11220271680502-1.17333373861742
10341.99245.98400354303850.0170644078741877-3.99200354303855-0.425452639677629
10439.28445.0445043918311-0.00995653913661244-5.76050439183109-0.222549843675434
10544.52142.6885696804444-0.07603244780010511.83243031955559-0.545586934142547
10643.83242.1089039027117-0.09018221786372061.72309609728833-0.117091233890132
10741.15343.8798340500282-0.0379697524398259-2.726834050028160.432733409091734
10817.146.64352332514850.0406231507445084-29.54352332514840.651628072991544
10970.48743.9115441817995-0.037254146151406526.5754558182005-0.644945081490038
11043.98242.8155594169344-0.06705841313853271.16644058306557-0.24619528817338
11152.16943.7943258421503-0.03754275413187898.374674157849680.243060214556347
11240.66143.8446672633711-0.035057108233329-3.183667263371080.0204189044856248
11347.72545.68414400925570.01802818813704982.040855990744310.435611272256973
11476.48959.65188378924640.41314677589012116.83711621075363.24329114009959
11530.25148.06611697948120.0735562407186945-17.8151169794812-2.79074911093297
11633.04141.0528762691652-0.126717831281525-8.0118762691652-1.64824432781249
11731.5734.3734879212516-0.311583541830243-2.80348792125162-1.5235986385985
1182729.3718920955847-0.443705794198873-2.37189209558475-1.09027561824441
11930.12930.8396793354622-0.389903597893736-0.7106793354622120.444386724161696
12018.39439.010933951387-0.148950432249076-20.61693395138711.99075098267615
12148.08130.8411256274771-0.37485814046768417.2398743725229-1.86529374098286
12232.29530.0827158404397-0.3856744474453882.21228415956031-0.0891797937527022
12335.8929.053825796225-0.4038392807680446.83617420377503-0.149502045754657
12430.53832.6247048974178-0.29145362919353-2.086704897417820.923651103216494
12530.08932.9272381071718-0.274646281633256-2.838238107171830.138047162952687
12635.28521.5408244084989-0.58910153057226213.7441755915011-2.58327014798169
12730.66631.2673332697565-0.297306445212171-0.6013332697564982.3987432843356
12828.62333.3400410539477-0.230322507873707-4.717041053947670.551104643135672
12931.50433.1263204425043-0.229853745722163-1.622320442504270.00385975676162951
13036.78437.1567485779331-0.109665345794144-0.3727485779331370.990327658848811
13140.65941.27421862045460.00952717285468918-0.6152186204546030.982661123687155
13239.16349.30654507433730.235734832693346-10.14354507433731.86530501499952
13344.56838.9922894654472-0.06184641704265985.57571053455282-2.45306437650477
13433.62533.7467333585558-0.208165391329267-0.121733358555801-1.20516908543983
13529.5328.1507413345625-0.3603685088634061.3792586654375-1.25234526223074
13628.47927.9799455140085-0.3550094766772260.4990544859914640.0440582045603485
13731.09229.1133517810387-0.3129157419381011.978648218961320.345942460524501
13832.9526.8676065430181-0.3675821413102216.08239345698189-0.44932374413338
13929.86729.0147038273242-0.2964766801828940.8522961726757530.584674876876468
14025.72230.4719554577721-0.246911498559712-4.749955457772130.407746274421153
14130.21432.8751439195802-0.172054435692563-2.661143919580150.616078005770883
14235.42436.1502528248264-0.0747310116301709-0.7262528248264450.8012965651639



Parameters (Session):
par1 = 12 ; par2 = periodic ; par3 = 0 ; par5 = 1 ; par7 = 1 ; par8 = FALSE ;
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')