Seasonal Decomposition by Loess - Parameters
ComponentWindowDegreeJump
Seasonal451046
Trend1912
Low-pass1312


Seasonal Decomposition by Loess - Time Series Components
tObservedFittedSeasonalTrendRemainder
1102.1101.717895878610.306364698881669102.175739422508-0.38210412139
2102.86102.8993128754050.207556324706251102.6131307998890.0393128754047325
3102.99102.933229652914-0.00375183018394935103.050522177270-0.0567703470857737
4103.73103.1769437186730.806249542265543103.476806739061-0.55305628132669
5105.02105.3981588165350.738749882612615103.9030913008530.378158816534807
6104.43104.559711418388-0.0180685164206585104.3183570980320.129711418388482
7104.63104.5087638828230.0176132219647960104.733622895212-0.121236117176593
8104.93105.460856641852-0.74262547011397105.1417688282620.530856641851742
9105.87106.867948991548-0.677863752860336105.5499147613130.99794899154766
10105.66105.788524369454-0.378163541538795105.9096391720850.128524369453999
11106.76107.2110506259060.0395857912375619106.2693635828570.451050625905538
12106105.751291797757-0.295647430392697106.544355632635-0.248708202242668
13107.22107.3142876187050.306364698881669106.8193476824140.0942876187045414
14107.33107.3806881360700.207556324706251107.0717555392240.0506881360697093
15107.11106.899588434150-0.00375183018394935107.324163396034-0.210411565850350
16108.86109.2711783654750.806249542265543107.6425720922590.411178365475124
17107.72106.7402693289030.738749882612615107.960980788484-0.979730671096974
18107.88107.372144245166-0.0180685164206585108.405924271255-0.507855754834068
19108.38107.891519024010.0176132219647960108.850867754025-0.488480975989887
20107.72106.783333443193-0.74262547011397109.399292026921-0.936666556806841
21108.41107.550147453044-0.677863752860336109.947716299817-0.85985254695619
22109.9109.594816271259-0.378163541538795110.583347270280-0.305183728741454
23111.45111.6414359680180.0395857912375619111.2189782407440.191435968018439
24112.18112.738054313861-0.295647430392697111.9175931165320.558054313860865
25113.34113.7574273087990.306364698881669112.6162079923200.417427308798679
26113.46113.4293531659140.207556324706251113.283090509379-0.0306468340855446
27114.06114.173778803745-0.00375183018394935113.9499730264390.113778803745021
28115.54115.7891204736260.806249542265543114.4846299841080.249120473625993
29116.39117.0219631756090.738749882612615115.0192869417780.631963175609371
30115.94116.481839384768-0.0180685164206585115.4162291316530.541839384768124
31116.97118.1092154565080.0176132219647960115.8131713215271.13921545650818
32115.94116.506054121162-0.74262547011397116.1165713489520.56605412116177
33115.91116.077892376483-0.677863752860336116.4199713763770.167892376482968
34116.43116.633709187523-0.378163541538795116.6044543540160.203709187523017
35116.26115.6914768771080.0395857912375619116.788937331654-0.568523122891762
36116.35116.189462522522-0.295647430392697116.806184907870-0.16053747747776
37117.9118.6702028170320.306364698881669116.8234324840870.77020281703166
38117.7118.4298775374520.207556324706251116.7625661378410.729877537452467
39117.53118.362052038588-0.00375183018394935116.7016997915960.832052038588046
40117.86118.2749709300820.806249542265543116.6387795276520.414970930082063
41117.65117.9853908536790.738749882612615116.5758592637090.335390853678533
42116.51116.535812073296-0.0180685164206585116.5022564431250.0258120732955263
43115.93115.4137331554940.0176132219647960116.428653622541-0.516266844506177
44115.31115.023630217753-0.74262547011397116.338995252361-0.286369782247007
45115114.428526870680-0.677863752860336116.249336882181-0.571473129320225