Estimated Parameters of Exponential Smoothing
ParameterValue
alpha0.054134723682192
beta0.0515900376014013
gammaFALSE


Interpolation Forecasts of Exponential Smoothing
tObservedFittedResiduals
364761136
4580610.04939130005-30.0493913000499
5614605.4392947391498.56070526085125
6636602.94325353097933.0567464690206
7388601.865620037366-213.865620037366
8356586.823625899921-230.823625899921
9639570.21896770928468.7810322907158
10753570.025417425646182.974582574354
11611576.52471712154434.4752828784557
12639575.08133125996863.9186687400324
13630575.41036780886154.5896321911388
14586575.38683814530910.6131618546913
15695573.012294981927121.987705018073
16552577.007670716844-25.0076707168445
17619572.97565067016146.024349329839
18681572.917466776198108.082533223802
19421576.520639761839-155.520639761839
20307565.419387840258-258.419387840258
21754548.026023745616205.973976254384
22690556.347712777284133.652287222716
23644561.12755292608782.8724470739128
24643563.38988766012779.6101123398729
25608565.69795291610242.3020470838983
26651566.1044980512584.8955019487498
27691569.053925309297121.946074690703
28627574.34964759821952.6503524017807
29634576.04110766732157.9588923326792
30731578.181812393691152.818187606309
31475585.88449139231-110.88449139231
32337579.002019143196-242.002019143196
33803564.345669512174238.654330487826
34722576.376035335251145.623964664749
35590583.7769284291096.22307157089097
36724583.648772565918140.351227434082
37627591.17358201096935.8264179890311
38696593.140026244272102.859973755728
39825599.022582109725225.977417890275
40677612.20117933551264.7988206644876
41656616.83538868881939.1646113111808
42785620.191276615271164.808723384729
43412630.809153682411-218.809153682411
44352620.048890050703-268.048890050703
45839605.87443662445233.12556337555
46729619.481999722219109.518000277781
47696626.70396477917869.2960352208215
48641631.942055700369.05794429963953
49695633.94447135381461.0555286461856
50638638.932278507352-0.93227850735218
51762640.561789169964121.438210830036
52635649.154946604431-14.1549466044307
53721650.36827381715970.6317261828408
54854656.368765296016197.631234703984
55418669.796287045338-251.796287045338
56367658.190954289222-291.190954289222
57824643.639760390576180.360239609424
58687655.11957239475431.8804276052456
59601658.650506858202-57.6505068582023
60676657.17370187129618.826298128704
61740659.88952590988380.1104740901168
62691666.14668540806924.8533145919311
63683669.48192449128413.5180755087157
64594672.241286988173-78.2412869881726
65729669.81476851217459.1852314878258
66731674.99308989066956.0069101093308
67386680.155770514303-294.155770514303
68331665.540969286221-334.540969286221
69706647.80561630430358.1943836956971
70715651.49340913444863.5065908655519
71657655.6461388282521.35386117174835
72653656.438028754296-3.4380287542964
73642656.960909273839-14.9609092738386
74643656.818218827044-13.8182188270438
75718656.69879591853661.3012040814643
76654660.817144977097-6.81714497709675
77632661.228887024454-29.2288870244543
78731660.34574480983670.6542551901643
79392665.067072981664-273.067072981664
80344650.418516913503-306.418516913503
81792633.108720200779158.891279799221
82852641.432094301005210.567905698995
83649653.141044929603-4.1410449296028
84629653.215220682074-24.2152206820745
85685652.13505790771532.8649420922853
86617654.236699591676-37.2366995916761
87715652.43941315592562.5605868440748
88715656.21934523019158.7806547698086
89629659.958815069382-30.9588150693825
90916658.753801341889257.246198658111
91531673.869126777617-142.869126777617
92357666.925312956701-309.925312956701
93917650.072395391087266.927604608913
94828665.192729855297162.807270144703
95708675.13122895139432.8687710486062
96858678.127339615598179.872660384402
97775689.58381581099785.4161841890026
98785696.16546814851788.8345318514827
991006703.180269976991302.819730023009
100789722.62482008670866.3751799132915
101734729.4548832376024.5451167623977
102906732.950486663161173.049513336839
103532746.051323868417-214.051323868417
104387737.598759016399-350.598759016399
105991720.775079920901270.224920079099
106841738.314206664376102.685793335624
107892747.07043123568144.92956876432
108782758.51827201827323.4817279817269
109811763.45714756009447.5428524399058
110792769.83134369520822.168656304792
111978774.893827632781203.106172367219
112773790.318551448994-17.3185514489943
113796793.7622762829322.23772371706798
114946798.27092421185147.72907578815
115594811.068285882463-217.068285882463
116438803.511212172007-365.511212172007
1171023786.897417407521236.102582592479
118868803.51120941349764.4887905865033
119791811.014841305141-20.014841305141
120760813.887994736602-53.887994736602
121779814.776935305262-35.7769353052615
122852816.5463948021935.4536051978102
1231001822.270915196281178.729084803719
124734836.250770898968-102.250770898968
125996834.734292528953161.265707471047
126869847.9335907736121.0664092263896
127599853.602073276905-254.602073276905
128426843.636262816966-417.636262816966
1291138823.678261809384314.321738190616
1301091844.22244659085246.77755340915
131830861.799349011515-31.799349011515
132909864.20675817820144.793241821799


Extrapolation Forecasts of Exponential Smoothing
tForecast95% Lower Bound95% Upper Bound
133870.885585208305569.7318332345671172.03933718204
134875.139542469557573.498204049261176.78088088985
135879.393499730808577.2164696276591181.57052983396
136883.64745699206580.8845488516941186.41036513243
137887.901414253312584.5004009082971191.30242759833
138892.155371514563588.0620283363421196.24871469278
139896.409328775815591.5674800590971201.25117749253
140900.663286037066595.0148543810631206.31171769307
141904.917243298318598.4023019277691211.43218466887
142909.17120055957601.7280285070541216.61437261209
143913.425157820821604.9902978704961221.86001777115
144917.679115082073608.1874343541081227.17079581004