Free Statistics

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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 computationWed, 10 Dec 2014 15:56:34 +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/Dec/10/t14182270178me7dq5xl435ptl.htm/, Retrieved Sun, 12 May 2024 00:17:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265440, Retrieved Sun, 12 May 2024 00:17:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact88
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [Univariate Data Series] [Identifying Integ...] [2009-11-22 12:08:06] [b98453cac15ba1066b407e146608df68]
- RMP         [Decomposition by Loess] [Births] [2010-11-30 13:47:21] [b98453cac15ba1066b407e146608df68]
- RM            [Decomposition by Loess] [WS8 Q2] [2014-11-19 14:27:37] [bcf5edf18529a33bd1494456d2c6cb9a]
- RMPD              [Structural Time Series Models] [structural time s...] [2014-12-10 15:56:34] [0ce3062f3159e08d115eba7e96d082ef] [Current]
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Dataseries X:
2132
1964
2209
1965
2631
2583
2714
2248
2364
3042
2316
2735
2493
2136
2467
2414
2556
2768
2998
2573
3005
3469
2540
3187
2689
2154
3065
2397
2787
3579
2915
3025
3245
3328
2840
3342
2261
2590
2624
1860
2577
2646
2639
2807
2350
3053
2203
2471
1967
2473
2397
1904
2732
2297
2734
2719
2296
3243
2166
2261
2408
2536
2324
2178
2803
2604
2782
2656
2801
3122
2393
2233
2451
2596
2467
2210
2948
2507
3019
2401
2818
3305
2101
2582
2407
2416
2463
2228
2616
2934
2668
2808
2664
3112
2321
2718
2297
2534
2647
2064
2642
2702
2348
2734
2709
3206
2214
2531
2119
2369
2682
1840
2622
2570
2447
2871
2485
2957
2102
2250
2051
2260
2327
1781
2631
2180
2150
2837
1976
2836
2203
1770




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265440&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]4 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=265440&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265440&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 time4 seconds
R Server'George Udny Yule' @ yule.wessa.net







Structural Time Series Model
tObservedLevelSlopeSeasonalStand. Residuals
121322132000
219642111.428670100733.71229823332826-145.867120989689-0.834006310766758
322092112.907440155433.5442674914592796.1321634028063-0.0253261212379439
419652062.48937529496-1.52991102633122-96.7031854497922-0.572981710815074
526312212.4212201541212.1818236171317415.8264993531191.95340614311615
625832359.6331899904922.8827036370826220.3973934126442.01622946509542
727142506.1138468611731.2176641728892204.8839767802581.98156386380823
822482504.6094264027129.2965340276932-255.780633476117-0.539040148111592
923642472.7042228421226.0106927693497-107.131925016711-1.01565166567068
1030422603.4196430284731.4133002317742435.884848597621.73650701874606
1123162589.9459533415529.1075563254496-272.793985818243-0.74166563909797
1227352623.7423180992929.3518026054016111.137965477680.0771066278886643
1324932625.5022589016528.421416488271-131.785846430584-0.464468061958888
1421362569.2431700324825.4720081159641-431.025641823877-1.44164963168679
1524672527.5284954672722.3891737261663-58.8567276373487-1.09086045528822
1624142565.6113865138423.2703034457476-151.9738216286940.240060341732798
1725562513.6189664563518.607150953906844.0538503081459-1.12497927721794
1827682528.9774542649818.3995749988563239.09514614948-0.0491227703489239
1929982601.9188321593521.8556533635619394.832418974260.843546762038434
2025732692.4889072583126.0901016064638-121.0966843118551.08126373636211
2130052854.3587950370334.173781149101147.4258242079822.15361756424747
2234692960.09159982138.2920948498106507.2075429244621.13621936735995
2325402967.2825550529236.5552010462223-426.543804349302-0.492952804407317
2431872991.1208105500735.861829715609196.180907938764-0.201350355769967
2526892946.2441766516431.5178875842105-255.327557715257-1.27996116675352
2621542836.6474168477223.8604289790512-679.29991396886-2.23648401927792
2730652874.9777317768224.6667102600601189.6815277182610.227805985771859
2823972809.950620115919.5109089765716-410.86565817007-1.39687278499696
2927872792.3689487900517.3254237633465-4.51617637737583-0.573121581635183
3035792962.8768999998326.4781231500561612.6133073099092.36469449480943
3129152955.453052592224.4447391031232-39.6735204405418-0.525624769936825
3230253039.6991254952728.0179801862887-16.08225234845180.932017147927037
3332453099.9472670312129.9279173775105144.3041729844070.50382576326345
3433283044.6480068857124.9270453713989285.334039939474-1.33284623054811
3528403067.317017138924.7957435076753-227.264527324867-0.0352865634943077
3633423071.4471238861923.6016405502841271.033008901757-0.322815257930426
3722612912.2123235181613.0622364053638-646.964077399698-2.85691877785459
3825902945.162037175214.2106734578578-355.6241165413470.310775832356531
3926242824.911784851896.40767661787757-197.791650075451-2.09868681977907
4018602656.46882942741-3.80193799558467-792.422235905452-2.72282548042408
4125772606.85827347454-6.49157374584832-28.8010370285541-0.711840152154121
4226462444.6760440248-15.6670957568439204.912232305496-2.41758085291264
4326392450.87950209038-14.3761283923048187.6162437377790.339857521417644
4428072537.64044917936-8.40815679727535267.0245525963961.57367821711728
4523502458.7570371682-12.5599503542438-107.128011709529-1.0975923992974
4630532485.90193418575-10.226240751141566.1798911850910.618486108817938
4722032446.13947982506-11.9583544011277-242.456548874744-0.459981958445975
4824712316.00215737481-18.8772014412906157.729776556747-1.84014553536642
4919672309.65526987641-18.1441642981662-342.9449320285680.195121216868262
5024732378.84935529334-13.033711607012692.13150699437031.36016455337846
5123972406.45264330964-10.6536359937994-10.39194752339770.63275498640394
5219042461.34894391064-6.80940813875716-558.8632731928631.02017357850781
5327322530.98243855124-2.32070483256992199.2527833622421.18905393795204
5422972454.28791545587-6.69196056244726-155.571662261084-1.15654695248381
5527342456.47713333117-6.16973087136164277.3179272400980.138119701311147
5627192439.66345465512-6.79563495834024279.582233390633-0.165585090382452
5722962419.55359407176-7.57832351019551-123.246172620665-0.207179865240554
5832432459.62252487135-4.7787233612434782.2771585999850.741485508883748
5921662447.19350164032-5.22799216105072-281.016838875694-0.119046650056163
6022612372.04253474467-9.33250786450877-109.427973296962-1.08800481165749
6124082464.77119278809-3.34285500726288-59.12780820727441.58808757997432
6225362510.47328823537-0.46458600204900524.3942174825430.763179019236684
6323242497.8573211687-1.17783100981608-173.576736627893-0.18908370332518
6421782557.907737709282.41705441943846-381.3213988997620.952661339598906
6528032577.695727740683.43724367536974224.9032703482260.270240759856296
6626042631.724270686166.40912346126395-28.89200198924960.78698075050295
6727822619.40002907375.30852915342433163.032354798229-0.291410080077923
6826562556.54213972421.30360010566902101.031296649974-1.0604466057316
6928012634.850592518895.82757429652384164.3718163022531.19802868851642
7031222590.146481693472.85918299941706533.02005062591-0.786185486542819
7123932599.058266274893.21468922782625-206.1979910204350.094166753760438
7222332566.066973194551.08831494004009-332.231174501266-0.56328297518379
7324512553.961097003020.313472322013967-102.656517965754-0.205271047776295
7425962562.308405675490.78526021422290933.50613707261230.124989413141172
7524672601.755410861693.05574134648171-135.6479037250660.601497963682437
7622102621.213977592334.01908215869399-411.5926248411790.255190351463518
7729482659.572692710916.03598460504482287.6346309478720.534228787424582
7825072635.437507802284.26381678441698-127.74107873085-0.469366506886737
7930192676.002194927916.39609790351666342.1598986732990.564721728052024
8024012605.385500575941.87238170391546-202.607853412184-1.19808148360574
8128182581.195636015830.341501952347015237.405957560449-0.405455698016029
8233052618.609449354552.51906097742392685.5348008557510.576746976554288
8321012548.85588436953-1.72598656112838-446.187595733941-1.12436814612821
8425822617.793970295022.42447541880602-37.42511777547761.09933636023974
8524072625.110145930312.71178487708548-218.223061183230.0761010624943603
8624162577.73435090964-0.230042516897436-160.578176181844-0.779223739688237
8724632570.88894003801-0.618588917388041-107.736236640964-0.102917083530663
8822282588.462314921340.449908353871322-360.882241619330.283016755646219
8926162522.22943321359-3.4667328093025895.3097995836436-1.03739282725168
9029342630.007950743623.06738622834594301.424209230941.73064388924297
9126682576.91455721819-0.23131096674503492.3817780889104-0.873691442567979
9228082663.368840188954.86033113531806142.6302311407711.34856829496696
9326642638.911249429953.1382888481860925.7654875282964-0.456101218419756
9431122569.93835757481-1.09727768114173543.726170022542-1.12184267523193
9523212604.949285926911.0235838863231-284.7827647872850.561739815725637
9627182651.321306628293.6871665382815865.63192575049120.705489987969935
9722972625.029715925891.92634434407096-327.33772414559-0.466381911496113
9825342633.193173883672.29268452528158-99.33714354806250.0970313214341573
9926472669.951582166814.31704763592798-23.74714619986190.536186831696422
10020642621.890423234681.24057832505594-556.681389505006-0.814853203878985
10126422604.122770522170.12411358942674538.3159913213174-0.295712600342119
10227022542.87206149864-3.48079992379797160.544633599864-0.95481125655024
10323482457.30719297082-8.30210277487505-107.412476220526-1.27698465022493
10427342448.02388126409-8.35973528035295285.998767622575-0.0152647053781448
10527092495.72166120864-5.06712842883959211.9843823507450.872089913528262
10632062564.61529316003-0.722955687903281639.6774940736841.15061273988925
10722142577.646012907340.0848817326526133-363.9634847373390.213966918168845
10825312547.61810327017-1.6838241834385-15.9230193003218-0.468466654425071
10921192509.43213250641-3.82781305006086-389.589565491991-0.56786605212915
11023692479.3815379478-5.36803244771405-109.776246186579-0.407949376789939
11126822505.33492356949-3.52834007677123175.9420943612530.487269312791633
11218402470.94337095323-5.34112003049934-630.230965380988-0.480141043871705
11326222466.53973782479-5.28605581512777155.4386224728140.0145845422105275
11425702439.61319304173-6.55713209073152130.886326988115-0.336662274668625
11524472468.17210432502-4.49455423849981-21.98267558830060.54630201980579
11628712525.36906995092-0.871036667503132344.2069266125590.959738006893406
11724852493.41950076303-2.69646771772265-7.70212589104636-0.483490379298084
11829572431.27736235762-6.18807272610163527.094801616531-0.924799690298046
11921022403.98073046913-7.42790620586508-301.493488794738-0.328387082779681
12022502348.10429772216-10.2735806489145-96.9859769873327-0.753716469946409
12120512344.96192845072-9.85472166899704-294.1265357356440.110940645559111
12222602349.72306846726-8.99624427024055-90.06044132600260.227379755181289
12323272292.89465366219-11.805714957979335.2094397722877-0.744127731737668
12417812299.33368152277-10.734091556492-518.75481863240.283834493851745
12526312344.90464298073-7.42695693397992284.7956869193510.87594085971995
12621802292.90994196047-10.0446891701967-111.88120023354-0.693342811027578
12721502241.5726113764-12.4700551961424-90.6194678326504-0.642391793698556
12828372266.01034265953-10.3022379936669570.1377279148340.57417635942069
12919762183.05734925148-14.5694557387194-205.38037741684-1.13023164914234
13028362170.0763796811-14.4761543517566665.8869538486970.0247121651585176
13122032236.8382802104-9.70455295101995-35.71346987766971.26382484779858
13217702164.86986477522-13.3616852473588-393.432649784779-0.968642283493867

\begin{tabular}{lllllllll}
\hline
Structural Time Series Model \tabularnewline
t & Observed & Level & Slope & Seasonal & Stand. Residuals \tabularnewline
1 & 2132 & 2132 & 0 & 0 & 0 \tabularnewline
2 & 1964 & 2111.42867010073 & 3.71229823332826 & -145.867120989689 & -0.834006310766758 \tabularnewline
3 & 2209 & 2112.90744015543 & 3.54426749145927 & 96.1321634028063 & -0.0253261212379439 \tabularnewline
4 & 1965 & 2062.48937529496 & -1.52991102633122 & -96.7031854497922 & -0.572981710815074 \tabularnewline
5 & 2631 & 2212.42122015412 & 12.1818236171317 & 415.826499353119 & 1.95340614311615 \tabularnewline
6 & 2583 & 2359.63318999049 & 22.8827036370826 & 220.397393412644 & 2.01622946509542 \tabularnewline
7 & 2714 & 2506.11384686117 & 31.2176641728892 & 204.883976780258 & 1.98156386380823 \tabularnewline
8 & 2248 & 2504.60942640271 & 29.2965340276932 & -255.780633476117 & -0.539040148111592 \tabularnewline
9 & 2364 & 2472.70422284212 & 26.0106927693497 & -107.131925016711 & -1.01565166567068 \tabularnewline
10 & 3042 & 2603.41964302847 & 31.4133002317742 & 435.88484859762 & 1.73650701874606 \tabularnewline
11 & 2316 & 2589.94595334155 & 29.1075563254496 & -272.793985818243 & -0.74166563909797 \tabularnewline
12 & 2735 & 2623.74231809929 & 29.3518026054016 & 111.13796547768 & 0.0771066278886643 \tabularnewline
13 & 2493 & 2625.50225890165 & 28.421416488271 & -131.785846430584 & -0.464468061958888 \tabularnewline
14 & 2136 & 2569.24317003248 & 25.4720081159641 & -431.025641823877 & -1.44164963168679 \tabularnewline
15 & 2467 & 2527.52849546727 & 22.3891737261663 & -58.8567276373487 & -1.09086045528822 \tabularnewline
16 & 2414 & 2565.61138651384 & 23.2703034457476 & -151.973821628694 & 0.240060341732798 \tabularnewline
17 & 2556 & 2513.61896645635 & 18.6071509539068 & 44.0538503081459 & -1.12497927721794 \tabularnewline
18 & 2768 & 2528.97745426498 & 18.3995749988563 & 239.09514614948 & -0.0491227703489239 \tabularnewline
19 & 2998 & 2601.91883215935 & 21.8556533635619 & 394.83241897426 & 0.843546762038434 \tabularnewline
20 & 2573 & 2692.48890725831 & 26.0901016064638 & -121.096684311855 & 1.08126373636211 \tabularnewline
21 & 3005 & 2854.35879503703 & 34.173781149101 & 147.425824207982 & 2.15361756424747 \tabularnewline
22 & 3469 & 2960.091599821 & 38.2920948498106 & 507.207542924462 & 1.13621936735995 \tabularnewline
23 & 2540 & 2967.28255505292 & 36.5552010462223 & -426.543804349302 & -0.492952804407317 \tabularnewline
24 & 3187 & 2991.12081055007 & 35.861829715609 & 196.180907938764 & -0.201350355769967 \tabularnewline
25 & 2689 & 2946.24417665164 & 31.5178875842105 & -255.327557715257 & -1.27996116675352 \tabularnewline
26 & 2154 & 2836.64741684772 & 23.8604289790512 & -679.29991396886 & -2.23648401927792 \tabularnewline
27 & 3065 & 2874.97773177682 & 24.6667102600601 & 189.681527718261 & 0.227805985771859 \tabularnewline
28 & 2397 & 2809.9506201159 & 19.5109089765716 & -410.86565817007 & -1.39687278499696 \tabularnewline
29 & 2787 & 2792.36894879005 & 17.3254237633465 & -4.51617637737583 & -0.573121581635183 \tabularnewline
30 & 3579 & 2962.87689999983 & 26.4781231500561 & 612.613307309909 & 2.36469449480943 \tabularnewline
31 & 2915 & 2955.4530525922 & 24.4447391031232 & -39.6735204405418 & -0.525624769936825 \tabularnewline
32 & 3025 & 3039.69912549527 & 28.0179801862887 & -16.0822523484518 & 0.932017147927037 \tabularnewline
33 & 3245 & 3099.94726703121 & 29.9279173775105 & 144.304172984407 & 0.50382576326345 \tabularnewline
34 & 3328 & 3044.64800688571 & 24.9270453713989 & 285.334039939474 & -1.33284623054811 \tabularnewline
35 & 2840 & 3067.3170171389 & 24.7957435076753 & -227.264527324867 & -0.0352865634943077 \tabularnewline
36 & 3342 & 3071.44712388619 & 23.6016405502841 & 271.033008901757 & -0.322815257930426 \tabularnewline
37 & 2261 & 2912.21232351816 & 13.0622364053638 & -646.964077399698 & -2.85691877785459 \tabularnewline
38 & 2590 & 2945.1620371752 & 14.2106734578578 & -355.624116541347 & 0.310775832356531 \tabularnewline
39 & 2624 & 2824.91178485189 & 6.40767661787757 & -197.791650075451 & -2.09868681977907 \tabularnewline
40 & 1860 & 2656.46882942741 & -3.80193799558467 & -792.422235905452 & -2.72282548042408 \tabularnewline
41 & 2577 & 2606.85827347454 & -6.49157374584832 & -28.8010370285541 & -0.711840152154121 \tabularnewline
42 & 2646 & 2444.6760440248 & -15.6670957568439 & 204.912232305496 & -2.41758085291264 \tabularnewline
43 & 2639 & 2450.87950209038 & -14.3761283923048 & 187.616243737779 & 0.339857521417644 \tabularnewline
44 & 2807 & 2537.64044917936 & -8.40815679727535 & 267.024552596396 & 1.57367821711728 \tabularnewline
45 & 2350 & 2458.7570371682 & -12.5599503542438 & -107.128011709529 & -1.0975923992974 \tabularnewline
46 & 3053 & 2485.90193418575 & -10.226240751141 & 566.179891185091 & 0.618486108817938 \tabularnewline
47 & 2203 & 2446.13947982506 & -11.9583544011277 & -242.456548874744 & -0.459981958445975 \tabularnewline
48 & 2471 & 2316.00215737481 & -18.8772014412906 & 157.729776556747 & -1.84014553536642 \tabularnewline
49 & 1967 & 2309.65526987641 & -18.1441642981662 & -342.944932028568 & 0.195121216868262 \tabularnewline
50 & 2473 & 2378.84935529334 & -13.0337116070126 & 92.1315069943703 & 1.36016455337846 \tabularnewline
51 & 2397 & 2406.45264330964 & -10.6536359937994 & -10.3919475233977 & 0.63275498640394 \tabularnewline
52 & 1904 & 2461.34894391064 & -6.80940813875716 & -558.863273192863 & 1.02017357850781 \tabularnewline
53 & 2732 & 2530.98243855124 & -2.32070483256992 & 199.252783362242 & 1.18905393795204 \tabularnewline
54 & 2297 & 2454.28791545587 & -6.69196056244726 & -155.571662261084 & -1.15654695248381 \tabularnewline
55 & 2734 & 2456.47713333117 & -6.16973087136164 & 277.317927240098 & 0.138119701311147 \tabularnewline
56 & 2719 & 2439.66345465512 & -6.79563495834024 & 279.582233390633 & -0.165585090382452 \tabularnewline
57 & 2296 & 2419.55359407176 & -7.57832351019551 & -123.246172620665 & -0.207179865240554 \tabularnewline
58 & 3243 & 2459.62252487135 & -4.7787233612434 & 782.277158599985 & 0.741485508883748 \tabularnewline
59 & 2166 & 2447.19350164032 & -5.22799216105072 & -281.016838875694 & -0.119046650056163 \tabularnewline
60 & 2261 & 2372.04253474467 & -9.33250786450877 & -109.427973296962 & -1.08800481165749 \tabularnewline
61 & 2408 & 2464.77119278809 & -3.34285500726288 & -59.1278082072744 & 1.58808757997432 \tabularnewline
62 & 2536 & 2510.47328823537 & -0.464586002049005 & 24.394217482543 & 0.763179019236684 \tabularnewline
63 & 2324 & 2497.8573211687 & -1.17783100981608 & -173.576736627893 & -0.18908370332518 \tabularnewline
64 & 2178 & 2557.90773770928 & 2.41705441943846 & -381.321398899762 & 0.952661339598906 \tabularnewline
65 & 2803 & 2577.69572774068 & 3.43724367536974 & 224.903270348226 & 0.270240759856296 \tabularnewline
66 & 2604 & 2631.72427068616 & 6.40912346126395 & -28.8920019892496 & 0.78698075050295 \tabularnewline
67 & 2782 & 2619.4000290737 & 5.30852915342433 & 163.032354798229 & -0.291410080077923 \tabularnewline
68 & 2656 & 2556.5421397242 & 1.30360010566902 & 101.031296649974 & -1.0604466057316 \tabularnewline
69 & 2801 & 2634.85059251889 & 5.82757429652384 & 164.371816302253 & 1.19802868851642 \tabularnewline
70 & 3122 & 2590.14648169347 & 2.85918299941706 & 533.02005062591 & -0.786185486542819 \tabularnewline
71 & 2393 & 2599.05826627489 & 3.21468922782625 & -206.197991020435 & 0.094166753760438 \tabularnewline
72 & 2233 & 2566.06697319455 & 1.08831494004009 & -332.231174501266 & -0.56328297518379 \tabularnewline
73 & 2451 & 2553.96109700302 & 0.313472322013967 & -102.656517965754 & -0.205271047776295 \tabularnewline
74 & 2596 & 2562.30840567549 & 0.785260214222909 & 33.5061370726123 & 0.124989413141172 \tabularnewline
75 & 2467 & 2601.75541086169 & 3.05574134648171 & -135.647903725066 & 0.601497963682437 \tabularnewline
76 & 2210 & 2621.21397759233 & 4.01908215869399 & -411.592624841179 & 0.255190351463518 \tabularnewline
77 & 2948 & 2659.57269271091 & 6.03598460504482 & 287.634630947872 & 0.534228787424582 \tabularnewline
78 & 2507 & 2635.43750780228 & 4.26381678441698 & -127.74107873085 & -0.469366506886737 \tabularnewline
79 & 3019 & 2676.00219492791 & 6.39609790351666 & 342.159898673299 & 0.564721728052024 \tabularnewline
80 & 2401 & 2605.38550057594 & 1.87238170391546 & -202.607853412184 & -1.19808148360574 \tabularnewline
81 & 2818 & 2581.19563601583 & 0.341501952347015 & 237.405957560449 & -0.405455698016029 \tabularnewline
82 & 3305 & 2618.60944935455 & 2.51906097742392 & 685.534800855751 & 0.576746976554288 \tabularnewline
83 & 2101 & 2548.85588436953 & -1.72598656112838 & -446.187595733941 & -1.12436814612821 \tabularnewline
84 & 2582 & 2617.79397029502 & 2.42447541880602 & -37.4251177754776 & 1.09933636023974 \tabularnewline
85 & 2407 & 2625.11014593031 & 2.71178487708548 & -218.22306118323 & 0.0761010624943603 \tabularnewline
86 & 2416 & 2577.73435090964 & -0.230042516897436 & -160.578176181844 & -0.779223739688237 \tabularnewline
87 & 2463 & 2570.88894003801 & -0.618588917388041 & -107.736236640964 & -0.102917083530663 \tabularnewline
88 & 2228 & 2588.46231492134 & 0.449908353871322 & -360.88224161933 & 0.283016755646219 \tabularnewline
89 & 2616 & 2522.22943321359 & -3.46673280930258 & 95.3097995836436 & -1.03739282725168 \tabularnewline
90 & 2934 & 2630.00795074362 & 3.06738622834594 & 301.42420923094 & 1.73064388924297 \tabularnewline
91 & 2668 & 2576.91455721819 & -0.231310966745034 & 92.3817780889104 & -0.873691442567979 \tabularnewline
92 & 2808 & 2663.36884018895 & 4.86033113531806 & 142.630231140771 & 1.34856829496696 \tabularnewline
93 & 2664 & 2638.91124942995 & 3.13828884818609 & 25.7654875282964 & -0.456101218419756 \tabularnewline
94 & 3112 & 2569.93835757481 & -1.09727768114173 & 543.726170022542 & -1.12184267523193 \tabularnewline
95 & 2321 & 2604.94928592691 & 1.0235838863231 & -284.782764787285 & 0.561739815725637 \tabularnewline
96 & 2718 & 2651.32130662829 & 3.68716653828158 & 65.6319257504912 & 0.705489987969935 \tabularnewline
97 & 2297 & 2625.02971592589 & 1.92634434407096 & -327.33772414559 & -0.466381911496113 \tabularnewline
98 & 2534 & 2633.19317388367 & 2.29268452528158 & -99.3371435480625 & 0.0970313214341573 \tabularnewline
99 & 2647 & 2669.95158216681 & 4.31704763592798 & -23.7471461998619 & 0.536186831696422 \tabularnewline
100 & 2064 & 2621.89042323468 & 1.24057832505594 & -556.681389505006 & -0.814853203878985 \tabularnewline
101 & 2642 & 2604.12277052217 & 0.124113589426745 & 38.3159913213174 & -0.295712600342119 \tabularnewline
102 & 2702 & 2542.87206149864 & -3.48079992379797 & 160.544633599864 & -0.95481125655024 \tabularnewline
103 & 2348 & 2457.30719297082 & -8.30210277487505 & -107.412476220526 & -1.27698465022493 \tabularnewline
104 & 2734 & 2448.02388126409 & -8.35973528035295 & 285.998767622575 & -0.0152647053781448 \tabularnewline
105 & 2709 & 2495.72166120864 & -5.06712842883959 & 211.984382350745 & 0.872089913528262 \tabularnewline
106 & 3206 & 2564.61529316003 & -0.722955687903281 & 639.677494073684 & 1.15061273988925 \tabularnewline
107 & 2214 & 2577.64601290734 & 0.0848817326526133 & -363.963484737339 & 0.213966918168845 \tabularnewline
108 & 2531 & 2547.61810327017 & -1.6838241834385 & -15.9230193003218 & -0.468466654425071 \tabularnewline
109 & 2119 & 2509.43213250641 & -3.82781305006086 & -389.589565491991 & -0.56786605212915 \tabularnewline
110 & 2369 & 2479.3815379478 & -5.36803244771405 & -109.776246186579 & -0.407949376789939 \tabularnewline
111 & 2682 & 2505.33492356949 & -3.52834007677123 & 175.942094361253 & 0.487269312791633 \tabularnewline
112 & 1840 & 2470.94337095323 & -5.34112003049934 & -630.230965380988 & -0.480141043871705 \tabularnewline
113 & 2622 & 2466.53973782479 & -5.28605581512777 & 155.438622472814 & 0.0145845422105275 \tabularnewline
114 & 2570 & 2439.61319304173 & -6.55713209073152 & 130.886326988115 & -0.336662274668625 \tabularnewline
115 & 2447 & 2468.17210432502 & -4.49455423849981 & -21.9826755883006 & 0.54630201980579 \tabularnewline
116 & 2871 & 2525.36906995092 & -0.871036667503132 & 344.206926612559 & 0.959738006893406 \tabularnewline
117 & 2485 & 2493.41950076303 & -2.69646771772265 & -7.70212589104636 & -0.483490379298084 \tabularnewline
118 & 2957 & 2431.27736235762 & -6.18807272610163 & 527.094801616531 & -0.924799690298046 \tabularnewline
119 & 2102 & 2403.98073046913 & -7.42790620586508 & -301.493488794738 & -0.328387082779681 \tabularnewline
120 & 2250 & 2348.10429772216 & -10.2735806489145 & -96.9859769873327 & -0.753716469946409 \tabularnewline
121 & 2051 & 2344.96192845072 & -9.85472166899704 & -294.126535735644 & 0.110940645559111 \tabularnewline
122 & 2260 & 2349.72306846726 & -8.99624427024055 & -90.0604413260026 & 0.227379755181289 \tabularnewline
123 & 2327 & 2292.89465366219 & -11.8057149579793 & 35.2094397722877 & -0.744127731737668 \tabularnewline
124 & 1781 & 2299.33368152277 & -10.734091556492 & -518.7548186324 & 0.283834493851745 \tabularnewline
125 & 2631 & 2344.90464298073 & -7.42695693397992 & 284.795686919351 & 0.87594085971995 \tabularnewline
126 & 2180 & 2292.90994196047 & -10.0446891701967 & -111.88120023354 & -0.693342811027578 \tabularnewline
127 & 2150 & 2241.5726113764 & -12.4700551961424 & -90.6194678326504 & -0.642391793698556 \tabularnewline
128 & 2837 & 2266.01034265953 & -10.3022379936669 & 570.137727914834 & 0.57417635942069 \tabularnewline
129 & 1976 & 2183.05734925148 & -14.5694557387194 & -205.38037741684 & -1.13023164914234 \tabularnewline
130 & 2836 & 2170.0763796811 & -14.4761543517566 & 665.886953848697 & 0.0247121651585176 \tabularnewline
131 & 2203 & 2236.8382802104 & -9.70455295101995 & -35.7134698776697 & 1.26382484779858 \tabularnewline
132 & 1770 & 2164.86986477522 & -13.3616852473588 & -393.432649784779 & -0.968642283493867 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265440&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]2132[/C][C]2132[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]1964[/C][C]2111.42867010073[/C][C]3.71229823332826[/C][C]-145.867120989689[/C][C]-0.834006310766758[/C][/ROW]
[ROW][C]3[/C][C]2209[/C][C]2112.90744015543[/C][C]3.54426749145927[/C][C]96.1321634028063[/C][C]-0.0253261212379439[/C][/ROW]
[ROW][C]4[/C][C]1965[/C][C]2062.48937529496[/C][C]-1.52991102633122[/C][C]-96.7031854497922[/C][C]-0.572981710815074[/C][/ROW]
[ROW][C]5[/C][C]2631[/C][C]2212.42122015412[/C][C]12.1818236171317[/C][C]415.826499353119[/C][C]1.95340614311615[/C][/ROW]
[ROW][C]6[/C][C]2583[/C][C]2359.63318999049[/C][C]22.8827036370826[/C][C]220.397393412644[/C][C]2.01622946509542[/C][/ROW]
[ROW][C]7[/C][C]2714[/C][C]2506.11384686117[/C][C]31.2176641728892[/C][C]204.883976780258[/C][C]1.98156386380823[/C][/ROW]
[ROW][C]8[/C][C]2248[/C][C]2504.60942640271[/C][C]29.2965340276932[/C][C]-255.780633476117[/C][C]-0.539040148111592[/C][/ROW]
[ROW][C]9[/C][C]2364[/C][C]2472.70422284212[/C][C]26.0106927693497[/C][C]-107.131925016711[/C][C]-1.01565166567068[/C][/ROW]
[ROW][C]10[/C][C]3042[/C][C]2603.41964302847[/C][C]31.4133002317742[/C][C]435.88484859762[/C][C]1.73650701874606[/C][/ROW]
[ROW][C]11[/C][C]2316[/C][C]2589.94595334155[/C][C]29.1075563254496[/C][C]-272.793985818243[/C][C]-0.74166563909797[/C][/ROW]
[ROW][C]12[/C][C]2735[/C][C]2623.74231809929[/C][C]29.3518026054016[/C][C]111.13796547768[/C][C]0.0771066278886643[/C][/ROW]
[ROW][C]13[/C][C]2493[/C][C]2625.50225890165[/C][C]28.421416488271[/C][C]-131.785846430584[/C][C]-0.464468061958888[/C][/ROW]
[ROW][C]14[/C][C]2136[/C][C]2569.24317003248[/C][C]25.4720081159641[/C][C]-431.025641823877[/C][C]-1.44164963168679[/C][/ROW]
[ROW][C]15[/C][C]2467[/C][C]2527.52849546727[/C][C]22.3891737261663[/C][C]-58.8567276373487[/C][C]-1.09086045528822[/C][/ROW]
[ROW][C]16[/C][C]2414[/C][C]2565.61138651384[/C][C]23.2703034457476[/C][C]-151.973821628694[/C][C]0.240060341732798[/C][/ROW]
[ROW][C]17[/C][C]2556[/C][C]2513.61896645635[/C][C]18.6071509539068[/C][C]44.0538503081459[/C][C]-1.12497927721794[/C][/ROW]
[ROW][C]18[/C][C]2768[/C][C]2528.97745426498[/C][C]18.3995749988563[/C][C]239.09514614948[/C][C]-0.0491227703489239[/C][/ROW]
[ROW][C]19[/C][C]2998[/C][C]2601.91883215935[/C][C]21.8556533635619[/C][C]394.83241897426[/C][C]0.843546762038434[/C][/ROW]
[ROW][C]20[/C][C]2573[/C][C]2692.48890725831[/C][C]26.0901016064638[/C][C]-121.096684311855[/C][C]1.08126373636211[/C][/ROW]
[ROW][C]21[/C][C]3005[/C][C]2854.35879503703[/C][C]34.173781149101[/C][C]147.425824207982[/C][C]2.15361756424747[/C][/ROW]
[ROW][C]22[/C][C]3469[/C][C]2960.091599821[/C][C]38.2920948498106[/C][C]507.207542924462[/C][C]1.13621936735995[/C][/ROW]
[ROW][C]23[/C][C]2540[/C][C]2967.28255505292[/C][C]36.5552010462223[/C][C]-426.543804349302[/C][C]-0.492952804407317[/C][/ROW]
[ROW][C]24[/C][C]3187[/C][C]2991.12081055007[/C][C]35.861829715609[/C][C]196.180907938764[/C][C]-0.201350355769967[/C][/ROW]
[ROW][C]25[/C][C]2689[/C][C]2946.24417665164[/C][C]31.5178875842105[/C][C]-255.327557715257[/C][C]-1.27996116675352[/C][/ROW]
[ROW][C]26[/C][C]2154[/C][C]2836.64741684772[/C][C]23.8604289790512[/C][C]-679.29991396886[/C][C]-2.23648401927792[/C][/ROW]
[ROW][C]27[/C][C]3065[/C][C]2874.97773177682[/C][C]24.6667102600601[/C][C]189.681527718261[/C][C]0.227805985771859[/C][/ROW]
[ROW][C]28[/C][C]2397[/C][C]2809.9506201159[/C][C]19.5109089765716[/C][C]-410.86565817007[/C][C]-1.39687278499696[/C][/ROW]
[ROW][C]29[/C][C]2787[/C][C]2792.36894879005[/C][C]17.3254237633465[/C][C]-4.51617637737583[/C][C]-0.573121581635183[/C][/ROW]
[ROW][C]30[/C][C]3579[/C][C]2962.87689999983[/C][C]26.4781231500561[/C][C]612.613307309909[/C][C]2.36469449480943[/C][/ROW]
[ROW][C]31[/C][C]2915[/C][C]2955.4530525922[/C][C]24.4447391031232[/C][C]-39.6735204405418[/C][C]-0.525624769936825[/C][/ROW]
[ROW][C]32[/C][C]3025[/C][C]3039.69912549527[/C][C]28.0179801862887[/C][C]-16.0822523484518[/C][C]0.932017147927037[/C][/ROW]
[ROW][C]33[/C][C]3245[/C][C]3099.94726703121[/C][C]29.9279173775105[/C][C]144.304172984407[/C][C]0.50382576326345[/C][/ROW]
[ROW][C]34[/C][C]3328[/C][C]3044.64800688571[/C][C]24.9270453713989[/C][C]285.334039939474[/C][C]-1.33284623054811[/C][/ROW]
[ROW][C]35[/C][C]2840[/C][C]3067.3170171389[/C][C]24.7957435076753[/C][C]-227.264527324867[/C][C]-0.0352865634943077[/C][/ROW]
[ROW][C]36[/C][C]3342[/C][C]3071.44712388619[/C][C]23.6016405502841[/C][C]271.033008901757[/C][C]-0.322815257930426[/C][/ROW]
[ROW][C]37[/C][C]2261[/C][C]2912.21232351816[/C][C]13.0622364053638[/C][C]-646.964077399698[/C][C]-2.85691877785459[/C][/ROW]
[ROW][C]38[/C][C]2590[/C][C]2945.1620371752[/C][C]14.2106734578578[/C][C]-355.624116541347[/C][C]0.310775832356531[/C][/ROW]
[ROW][C]39[/C][C]2624[/C][C]2824.91178485189[/C][C]6.40767661787757[/C][C]-197.791650075451[/C][C]-2.09868681977907[/C][/ROW]
[ROW][C]40[/C][C]1860[/C][C]2656.46882942741[/C][C]-3.80193799558467[/C][C]-792.422235905452[/C][C]-2.72282548042408[/C][/ROW]
[ROW][C]41[/C][C]2577[/C][C]2606.85827347454[/C][C]-6.49157374584832[/C][C]-28.8010370285541[/C][C]-0.711840152154121[/C][/ROW]
[ROW][C]42[/C][C]2646[/C][C]2444.6760440248[/C][C]-15.6670957568439[/C][C]204.912232305496[/C][C]-2.41758085291264[/C][/ROW]
[ROW][C]43[/C][C]2639[/C][C]2450.87950209038[/C][C]-14.3761283923048[/C][C]187.616243737779[/C][C]0.339857521417644[/C][/ROW]
[ROW][C]44[/C][C]2807[/C][C]2537.64044917936[/C][C]-8.40815679727535[/C][C]267.024552596396[/C][C]1.57367821711728[/C][/ROW]
[ROW][C]45[/C][C]2350[/C][C]2458.7570371682[/C][C]-12.5599503542438[/C][C]-107.128011709529[/C][C]-1.0975923992974[/C][/ROW]
[ROW][C]46[/C][C]3053[/C][C]2485.90193418575[/C][C]-10.226240751141[/C][C]566.179891185091[/C][C]0.618486108817938[/C][/ROW]
[ROW][C]47[/C][C]2203[/C][C]2446.13947982506[/C][C]-11.9583544011277[/C][C]-242.456548874744[/C][C]-0.459981958445975[/C][/ROW]
[ROW][C]48[/C][C]2471[/C][C]2316.00215737481[/C][C]-18.8772014412906[/C][C]157.729776556747[/C][C]-1.84014553536642[/C][/ROW]
[ROW][C]49[/C][C]1967[/C][C]2309.65526987641[/C][C]-18.1441642981662[/C][C]-342.944932028568[/C][C]0.195121216868262[/C][/ROW]
[ROW][C]50[/C][C]2473[/C][C]2378.84935529334[/C][C]-13.0337116070126[/C][C]92.1315069943703[/C][C]1.36016455337846[/C][/ROW]
[ROW][C]51[/C][C]2397[/C][C]2406.45264330964[/C][C]-10.6536359937994[/C][C]-10.3919475233977[/C][C]0.63275498640394[/C][/ROW]
[ROW][C]52[/C][C]1904[/C][C]2461.34894391064[/C][C]-6.80940813875716[/C][C]-558.863273192863[/C][C]1.02017357850781[/C][/ROW]
[ROW][C]53[/C][C]2732[/C][C]2530.98243855124[/C][C]-2.32070483256992[/C][C]199.252783362242[/C][C]1.18905393795204[/C][/ROW]
[ROW][C]54[/C][C]2297[/C][C]2454.28791545587[/C][C]-6.69196056244726[/C][C]-155.571662261084[/C][C]-1.15654695248381[/C][/ROW]
[ROW][C]55[/C][C]2734[/C][C]2456.47713333117[/C][C]-6.16973087136164[/C][C]277.317927240098[/C][C]0.138119701311147[/C][/ROW]
[ROW][C]56[/C][C]2719[/C][C]2439.66345465512[/C][C]-6.79563495834024[/C][C]279.582233390633[/C][C]-0.165585090382452[/C][/ROW]
[ROW][C]57[/C][C]2296[/C][C]2419.55359407176[/C][C]-7.57832351019551[/C][C]-123.246172620665[/C][C]-0.207179865240554[/C][/ROW]
[ROW][C]58[/C][C]3243[/C][C]2459.62252487135[/C][C]-4.7787233612434[/C][C]782.277158599985[/C][C]0.741485508883748[/C][/ROW]
[ROW][C]59[/C][C]2166[/C][C]2447.19350164032[/C][C]-5.22799216105072[/C][C]-281.016838875694[/C][C]-0.119046650056163[/C][/ROW]
[ROW][C]60[/C][C]2261[/C][C]2372.04253474467[/C][C]-9.33250786450877[/C][C]-109.427973296962[/C][C]-1.08800481165749[/C][/ROW]
[ROW][C]61[/C][C]2408[/C][C]2464.77119278809[/C][C]-3.34285500726288[/C][C]-59.1278082072744[/C][C]1.58808757997432[/C][/ROW]
[ROW][C]62[/C][C]2536[/C][C]2510.47328823537[/C][C]-0.464586002049005[/C][C]24.394217482543[/C][C]0.763179019236684[/C][/ROW]
[ROW][C]63[/C][C]2324[/C][C]2497.8573211687[/C][C]-1.17783100981608[/C][C]-173.576736627893[/C][C]-0.18908370332518[/C][/ROW]
[ROW][C]64[/C][C]2178[/C][C]2557.90773770928[/C][C]2.41705441943846[/C][C]-381.321398899762[/C][C]0.952661339598906[/C][/ROW]
[ROW][C]65[/C][C]2803[/C][C]2577.69572774068[/C][C]3.43724367536974[/C][C]224.903270348226[/C][C]0.270240759856296[/C][/ROW]
[ROW][C]66[/C][C]2604[/C][C]2631.72427068616[/C][C]6.40912346126395[/C][C]-28.8920019892496[/C][C]0.78698075050295[/C][/ROW]
[ROW][C]67[/C][C]2782[/C][C]2619.4000290737[/C][C]5.30852915342433[/C][C]163.032354798229[/C][C]-0.291410080077923[/C][/ROW]
[ROW][C]68[/C][C]2656[/C][C]2556.5421397242[/C][C]1.30360010566902[/C][C]101.031296649974[/C][C]-1.0604466057316[/C][/ROW]
[ROW][C]69[/C][C]2801[/C][C]2634.85059251889[/C][C]5.82757429652384[/C][C]164.371816302253[/C][C]1.19802868851642[/C][/ROW]
[ROW][C]70[/C][C]3122[/C][C]2590.14648169347[/C][C]2.85918299941706[/C][C]533.02005062591[/C][C]-0.786185486542819[/C][/ROW]
[ROW][C]71[/C][C]2393[/C][C]2599.05826627489[/C][C]3.21468922782625[/C][C]-206.197991020435[/C][C]0.094166753760438[/C][/ROW]
[ROW][C]72[/C][C]2233[/C][C]2566.06697319455[/C][C]1.08831494004009[/C][C]-332.231174501266[/C][C]-0.56328297518379[/C][/ROW]
[ROW][C]73[/C][C]2451[/C][C]2553.96109700302[/C][C]0.313472322013967[/C][C]-102.656517965754[/C][C]-0.205271047776295[/C][/ROW]
[ROW][C]74[/C][C]2596[/C][C]2562.30840567549[/C][C]0.785260214222909[/C][C]33.5061370726123[/C][C]0.124989413141172[/C][/ROW]
[ROW][C]75[/C][C]2467[/C][C]2601.75541086169[/C][C]3.05574134648171[/C][C]-135.647903725066[/C][C]0.601497963682437[/C][/ROW]
[ROW][C]76[/C][C]2210[/C][C]2621.21397759233[/C][C]4.01908215869399[/C][C]-411.592624841179[/C][C]0.255190351463518[/C][/ROW]
[ROW][C]77[/C][C]2948[/C][C]2659.57269271091[/C][C]6.03598460504482[/C][C]287.634630947872[/C][C]0.534228787424582[/C][/ROW]
[ROW][C]78[/C][C]2507[/C][C]2635.43750780228[/C][C]4.26381678441698[/C][C]-127.74107873085[/C][C]-0.469366506886737[/C][/ROW]
[ROW][C]79[/C][C]3019[/C][C]2676.00219492791[/C][C]6.39609790351666[/C][C]342.159898673299[/C][C]0.564721728052024[/C][/ROW]
[ROW][C]80[/C][C]2401[/C][C]2605.38550057594[/C][C]1.87238170391546[/C][C]-202.607853412184[/C][C]-1.19808148360574[/C][/ROW]
[ROW][C]81[/C][C]2818[/C][C]2581.19563601583[/C][C]0.341501952347015[/C][C]237.405957560449[/C][C]-0.405455698016029[/C][/ROW]
[ROW][C]82[/C][C]3305[/C][C]2618.60944935455[/C][C]2.51906097742392[/C][C]685.534800855751[/C][C]0.576746976554288[/C][/ROW]
[ROW][C]83[/C][C]2101[/C][C]2548.85588436953[/C][C]-1.72598656112838[/C][C]-446.187595733941[/C][C]-1.12436814612821[/C][/ROW]
[ROW][C]84[/C][C]2582[/C][C]2617.79397029502[/C][C]2.42447541880602[/C][C]-37.4251177754776[/C][C]1.09933636023974[/C][/ROW]
[ROW][C]85[/C][C]2407[/C][C]2625.11014593031[/C][C]2.71178487708548[/C][C]-218.22306118323[/C][C]0.0761010624943603[/C][/ROW]
[ROW][C]86[/C][C]2416[/C][C]2577.73435090964[/C][C]-0.230042516897436[/C][C]-160.578176181844[/C][C]-0.779223739688237[/C][/ROW]
[ROW][C]87[/C][C]2463[/C][C]2570.88894003801[/C][C]-0.618588917388041[/C][C]-107.736236640964[/C][C]-0.102917083530663[/C][/ROW]
[ROW][C]88[/C][C]2228[/C][C]2588.46231492134[/C][C]0.449908353871322[/C][C]-360.88224161933[/C][C]0.283016755646219[/C][/ROW]
[ROW][C]89[/C][C]2616[/C][C]2522.22943321359[/C][C]-3.46673280930258[/C][C]95.3097995836436[/C][C]-1.03739282725168[/C][/ROW]
[ROW][C]90[/C][C]2934[/C][C]2630.00795074362[/C][C]3.06738622834594[/C][C]301.42420923094[/C][C]1.73064388924297[/C][/ROW]
[ROW][C]91[/C][C]2668[/C][C]2576.91455721819[/C][C]-0.231310966745034[/C][C]92.3817780889104[/C][C]-0.873691442567979[/C][/ROW]
[ROW][C]92[/C][C]2808[/C][C]2663.36884018895[/C][C]4.86033113531806[/C][C]142.630231140771[/C][C]1.34856829496696[/C][/ROW]
[ROW][C]93[/C][C]2664[/C][C]2638.91124942995[/C][C]3.13828884818609[/C][C]25.7654875282964[/C][C]-0.456101218419756[/C][/ROW]
[ROW][C]94[/C][C]3112[/C][C]2569.93835757481[/C][C]-1.09727768114173[/C][C]543.726170022542[/C][C]-1.12184267523193[/C][/ROW]
[ROW][C]95[/C][C]2321[/C][C]2604.94928592691[/C][C]1.0235838863231[/C][C]-284.782764787285[/C][C]0.561739815725637[/C][/ROW]
[ROW][C]96[/C][C]2718[/C][C]2651.32130662829[/C][C]3.68716653828158[/C][C]65.6319257504912[/C][C]0.705489987969935[/C][/ROW]
[ROW][C]97[/C][C]2297[/C][C]2625.02971592589[/C][C]1.92634434407096[/C][C]-327.33772414559[/C][C]-0.466381911496113[/C][/ROW]
[ROW][C]98[/C][C]2534[/C][C]2633.19317388367[/C][C]2.29268452528158[/C][C]-99.3371435480625[/C][C]0.0970313214341573[/C][/ROW]
[ROW][C]99[/C][C]2647[/C][C]2669.95158216681[/C][C]4.31704763592798[/C][C]-23.7471461998619[/C][C]0.536186831696422[/C][/ROW]
[ROW][C]100[/C][C]2064[/C][C]2621.89042323468[/C][C]1.24057832505594[/C][C]-556.681389505006[/C][C]-0.814853203878985[/C][/ROW]
[ROW][C]101[/C][C]2642[/C][C]2604.12277052217[/C][C]0.124113589426745[/C][C]38.3159913213174[/C][C]-0.295712600342119[/C][/ROW]
[ROW][C]102[/C][C]2702[/C][C]2542.87206149864[/C][C]-3.48079992379797[/C][C]160.544633599864[/C][C]-0.95481125655024[/C][/ROW]
[ROW][C]103[/C][C]2348[/C][C]2457.30719297082[/C][C]-8.30210277487505[/C][C]-107.412476220526[/C][C]-1.27698465022493[/C][/ROW]
[ROW][C]104[/C][C]2734[/C][C]2448.02388126409[/C][C]-8.35973528035295[/C][C]285.998767622575[/C][C]-0.0152647053781448[/C][/ROW]
[ROW][C]105[/C][C]2709[/C][C]2495.72166120864[/C][C]-5.06712842883959[/C][C]211.984382350745[/C][C]0.872089913528262[/C][/ROW]
[ROW][C]106[/C][C]3206[/C][C]2564.61529316003[/C][C]-0.722955687903281[/C][C]639.677494073684[/C][C]1.15061273988925[/C][/ROW]
[ROW][C]107[/C][C]2214[/C][C]2577.64601290734[/C][C]0.0848817326526133[/C][C]-363.963484737339[/C][C]0.213966918168845[/C][/ROW]
[ROW][C]108[/C][C]2531[/C][C]2547.61810327017[/C][C]-1.6838241834385[/C][C]-15.9230193003218[/C][C]-0.468466654425071[/C][/ROW]
[ROW][C]109[/C][C]2119[/C][C]2509.43213250641[/C][C]-3.82781305006086[/C][C]-389.589565491991[/C][C]-0.56786605212915[/C][/ROW]
[ROW][C]110[/C][C]2369[/C][C]2479.3815379478[/C][C]-5.36803244771405[/C][C]-109.776246186579[/C][C]-0.407949376789939[/C][/ROW]
[ROW][C]111[/C][C]2682[/C][C]2505.33492356949[/C][C]-3.52834007677123[/C][C]175.942094361253[/C][C]0.487269312791633[/C][/ROW]
[ROW][C]112[/C][C]1840[/C][C]2470.94337095323[/C][C]-5.34112003049934[/C][C]-630.230965380988[/C][C]-0.480141043871705[/C][/ROW]
[ROW][C]113[/C][C]2622[/C][C]2466.53973782479[/C][C]-5.28605581512777[/C][C]155.438622472814[/C][C]0.0145845422105275[/C][/ROW]
[ROW][C]114[/C][C]2570[/C][C]2439.61319304173[/C][C]-6.55713209073152[/C][C]130.886326988115[/C][C]-0.336662274668625[/C][/ROW]
[ROW][C]115[/C][C]2447[/C][C]2468.17210432502[/C][C]-4.49455423849981[/C][C]-21.9826755883006[/C][C]0.54630201980579[/C][/ROW]
[ROW][C]116[/C][C]2871[/C][C]2525.36906995092[/C][C]-0.871036667503132[/C][C]344.206926612559[/C][C]0.959738006893406[/C][/ROW]
[ROW][C]117[/C][C]2485[/C][C]2493.41950076303[/C][C]-2.69646771772265[/C][C]-7.70212589104636[/C][C]-0.483490379298084[/C][/ROW]
[ROW][C]118[/C][C]2957[/C][C]2431.27736235762[/C][C]-6.18807272610163[/C][C]527.094801616531[/C][C]-0.924799690298046[/C][/ROW]
[ROW][C]119[/C][C]2102[/C][C]2403.98073046913[/C][C]-7.42790620586508[/C][C]-301.493488794738[/C][C]-0.328387082779681[/C][/ROW]
[ROW][C]120[/C][C]2250[/C][C]2348.10429772216[/C][C]-10.2735806489145[/C][C]-96.9859769873327[/C][C]-0.753716469946409[/C][/ROW]
[ROW][C]121[/C][C]2051[/C][C]2344.96192845072[/C][C]-9.85472166899704[/C][C]-294.126535735644[/C][C]0.110940645559111[/C][/ROW]
[ROW][C]122[/C][C]2260[/C][C]2349.72306846726[/C][C]-8.99624427024055[/C][C]-90.0604413260026[/C][C]0.227379755181289[/C][/ROW]
[ROW][C]123[/C][C]2327[/C][C]2292.89465366219[/C][C]-11.8057149579793[/C][C]35.2094397722877[/C][C]-0.744127731737668[/C][/ROW]
[ROW][C]124[/C][C]1781[/C][C]2299.33368152277[/C][C]-10.734091556492[/C][C]-518.7548186324[/C][C]0.283834493851745[/C][/ROW]
[ROW][C]125[/C][C]2631[/C][C]2344.90464298073[/C][C]-7.42695693397992[/C][C]284.795686919351[/C][C]0.87594085971995[/C][/ROW]
[ROW][C]126[/C][C]2180[/C][C]2292.90994196047[/C][C]-10.0446891701967[/C][C]-111.88120023354[/C][C]-0.693342811027578[/C][/ROW]
[ROW][C]127[/C][C]2150[/C][C]2241.5726113764[/C][C]-12.4700551961424[/C][C]-90.6194678326504[/C][C]-0.642391793698556[/C][/ROW]
[ROW][C]128[/C][C]2837[/C][C]2266.01034265953[/C][C]-10.3022379936669[/C][C]570.137727914834[/C][C]0.57417635942069[/C][/ROW]
[ROW][C]129[/C][C]1976[/C][C]2183.05734925148[/C][C]-14.5694557387194[/C][C]-205.38037741684[/C][C]-1.13023164914234[/C][/ROW]
[ROW][C]130[/C][C]2836[/C][C]2170.0763796811[/C][C]-14.4761543517566[/C][C]665.886953848697[/C][C]0.0247121651585176[/C][/ROW]
[ROW][C]131[/C][C]2203[/C][C]2236.8382802104[/C][C]-9.70455295101995[/C][C]-35.7134698776697[/C][C]1.26382484779858[/C][/ROW]
[ROW][C]132[/C][C]1770[/C][C]2164.86986477522[/C][C]-13.3616852473588[/C][C]-393.432649784779[/C][C]-0.968642283493867[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265440&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265440&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
121322132000
219642111.428670100733.71229823332826-145.867120989689-0.834006310766758
322092112.907440155433.5442674914592796.1321634028063-0.0253261212379439
419652062.48937529496-1.52991102633122-96.7031854497922-0.572981710815074
526312212.4212201541212.1818236171317415.8264993531191.95340614311615
625832359.6331899904922.8827036370826220.3973934126442.01622946509542
727142506.1138468611731.2176641728892204.8839767802581.98156386380823
822482504.6094264027129.2965340276932-255.780633476117-0.539040148111592
923642472.7042228421226.0106927693497-107.131925016711-1.01565166567068
1030422603.4196430284731.4133002317742435.884848597621.73650701874606
1123162589.9459533415529.1075563254496-272.793985818243-0.74166563909797
1227352623.7423180992929.3518026054016111.137965477680.0771066278886643
1324932625.5022589016528.421416488271-131.785846430584-0.464468061958888
1421362569.2431700324825.4720081159641-431.025641823877-1.44164963168679
1524672527.5284954672722.3891737261663-58.8567276373487-1.09086045528822
1624142565.6113865138423.2703034457476-151.9738216286940.240060341732798
1725562513.6189664563518.607150953906844.0538503081459-1.12497927721794
1827682528.9774542649818.3995749988563239.09514614948-0.0491227703489239
1929982601.9188321593521.8556533635619394.832418974260.843546762038434
2025732692.4889072583126.0901016064638-121.0966843118551.08126373636211
2130052854.3587950370334.173781149101147.4258242079822.15361756424747
2234692960.09159982138.2920948498106507.2075429244621.13621936735995
2325402967.2825550529236.5552010462223-426.543804349302-0.492952804407317
2431872991.1208105500735.861829715609196.180907938764-0.201350355769967
2526892946.2441766516431.5178875842105-255.327557715257-1.27996116675352
2621542836.6474168477223.8604289790512-679.29991396886-2.23648401927792
2730652874.9777317768224.6667102600601189.6815277182610.227805985771859
2823972809.950620115919.5109089765716-410.86565817007-1.39687278499696
2927872792.3689487900517.3254237633465-4.51617637737583-0.573121581635183
3035792962.8768999998326.4781231500561612.6133073099092.36469449480943
3129152955.453052592224.4447391031232-39.6735204405418-0.525624769936825
3230253039.6991254952728.0179801862887-16.08225234845180.932017147927037
3332453099.9472670312129.9279173775105144.3041729844070.50382576326345
3433283044.6480068857124.9270453713989285.334039939474-1.33284623054811
3528403067.317017138924.7957435076753-227.264527324867-0.0352865634943077
3633423071.4471238861923.6016405502841271.033008901757-0.322815257930426
3722612912.2123235181613.0622364053638-646.964077399698-2.85691877785459
3825902945.162037175214.2106734578578-355.6241165413470.310775832356531
3926242824.911784851896.40767661787757-197.791650075451-2.09868681977907
4018602656.46882942741-3.80193799558467-792.422235905452-2.72282548042408
4125772606.85827347454-6.49157374584832-28.8010370285541-0.711840152154121
4226462444.6760440248-15.6670957568439204.912232305496-2.41758085291264
4326392450.87950209038-14.3761283923048187.6162437377790.339857521417644
4428072537.64044917936-8.40815679727535267.0245525963961.57367821711728
4523502458.7570371682-12.5599503542438-107.128011709529-1.0975923992974
4630532485.90193418575-10.226240751141566.1798911850910.618486108817938
4722032446.13947982506-11.9583544011277-242.456548874744-0.459981958445975
4824712316.00215737481-18.8772014412906157.729776556747-1.84014553536642
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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')