Estimated Parameters of Exponential Smoothing
ParameterValue
alpha0.275592474736350
beta0.0326929527336615
gamma0.87072922226501


Interpolation Forecasts of Exponential Smoothing
tObservedFittedResiduals
13115111.0818087088673.91819129113328
14126122.3314521410863.66854785891434
15141137.4390125699003.56098743009966
16135132.3233803453812.67661965461949
17125123.4796804627291.52031953727142
18149147.6672883148701.33271168512962
19170162.4432437124737.55675628752724
20170165.5295896133214.47041038667871
21158153.887712294254.11228770575008
22133136.318641448733-3.31864144873339
23114119.090610790114-5.09061079011435
24140133.9887199504986.01128004950164
25145134.83036828991910.1696317100805
26150149.7051434413650.294856558634905
27178166.54082599966011.4591740003402
28163161.7497283781891.25027162181149
29172149.75750799304122.2424920069588
30178185.647723596323-7.64772359632292
31199206.262153619027-7.26215361902663
32199203.180886325985-4.18088632598545
33184186.419252204207-2.41925220420688
34162158.1477991367523.85220086324750
35146138.3687281983277.63127180167297
36166169.141340932275-3.14134093227528
37171170.3609415353510.639058464649423
38180177.438190472372.56180952763009
39193206.247937478342-13.2479374783417
40181185.960743337438-4.96074333743809
41183184.798362273963-1.79836227396325
42218195.68439550542022.3156044945797
43230227.4983977187992.50160228120123
44242229.00477178943912.995228210561
45209215.630984242776-6.63098424277621
46191186.2865973703104.71340262969036
47172166.0376427611405.96235723886033
48194192.8425176702161.15748232978419
49196198.309951792614-2.30995179261362
50196206.984490574542-10.9844905745424
51236224.19296559617511.8070344038246
52235214.06542383627120.9345761637291
53229222.6752396896246.32476031037604
54243256.737994926100-13.7379949260995
55264268.358000825093-4.35800082509263
56272275.595138563011-3.59513856301129
57237240.950054518830-3.95005451882952
58211216.418708751084-5.41870875108356
59180191.302349202140-11.3023492021397
60201212.165209086813-11.1652090868132
61204211.884606924302-7.88460692430232
62188213.278507450624-25.2785074506242
63235241.844292266099-6.84429226609927
64227231.126648633712-4.12664863371231
65234222.84757726495611.1524227350442
66264244.40358955613319.5964104438671
67302270.92543012229331.0745698777072
68293288.463281003994.53671899600994
69259253.3255645210345.67443547896596
70229228.4572337108590.542766289141412
71203198.7667231438064.23327685619387
72229226.3253681439902.67463185601025
73242232.5076924006789.49230759932206
74233226.1554874965556.84451250344512
75267284.984109809782-17.9841098097817
76269271.954044414959-2.95404441495936
77270274.414349879443-4.41434987944342
78315301.11087591275813.8891240872424
79364337.48148021720826.5185197827919
80347335.98553316204211.0144668379583
81312297.83666607185614.1633339281443
82274267.3004454650886.69955453491184
83237236.992543135440.00745686455996974
84278266.90068916338611.0993108366135
85284281.6339259082812.36607409171881
86277269.9672458906017.03275410939943
87317320.174999871829-3.17499987182867
88313321.276899149144-8.27689914914367
89318322.045741325616-4.04574132561623
90374367.9511784742486.04882152575198
91413417.203225397332-4.20322539733195
92405394.60624771342310.3937522865770
93355352.306655336872.69334466312978
94306308.449808881235-2.44980888123547
95271266.6963378015154.30366219848491
96306309.394161372705-3.39416137270507
97315315.103179025908-0.103179025908162
98301304.405357956351-3.40535795635083
99356349.0582018178746.94179818212643
100348349.292551021806-1.29255102180582
101355355.073176743192-0.0731767431923913
102422414.3609222660917.6390777339086
103465462.0911466439312.90885335606902
104467448.97970596848618.0202940315142
105404397.6350103800216.3649896199791
106347345.4509781177981.54902188220177
107305304.2430386145030.756961385497391
108336345.615242815445-9.61524281544519
109340352.616294292299-12.6162942922995
110318334.810889595368-16.8108895953683
111362386.941371143576-24.941371143576
112348372.19085448139-24.1908544813901
113363372.090123850004-9.09012385000392
114435435.498537075613-0.498537075613456
115491478.41838352541612.5816164745842
116505476.29773642868728.7022635713128
117404417.219138602199-13.2191386021993
118359354.4369064406444.56309355935639
119310311.87647452998-1.87647452998021
120337345.975126181846-8.97512618184646
121360350.6430688312569.35693116874421
122342334.9945865126547.00541348734612
123406390.68587883978415.3141211602163
124396386.4988634128129.50113658718794
125420407.13073966459212.8692603354077
126472491.604975308879-19.6049753088789
127548543.7800223198734.21997768012739
128559549.9352939995999.06470600040075
129463449.63876988832213.3612301116776
130407399.9130272672637.0869727327372
131362348.39721511660913.6027848833913
132405386.65209391144218.3479060885584
133417413.9167645634643.08323543653609
134391392.451160571742-1.45116057174164
135419460.1705013673-41.1705013673003
136461435.42179027207925.5782097279213
137472465.0951127316986.90488726830233
138535534.3527108703320.647289129667797
139622616.7353556376025.26464436239837
140606627.551048082547-21.5510480825469
141508510.133147348626-2.13314734862615
142461446.16280294352714.8371970564727
143390395.452817646612-5.45281764661166
144432434.572462781261-2.57246278126127


Extrapolation Forecasts of Exponential Smoothing
tForecast95% Lower Bound95% Upper Bound
145447.055931344916427.306133026716466.805729663116
146419.712279855699399.132585244972440.291974466426
147464.867131095767442.963034360731486.771227830803
148496.083937621018472.832900505232519.334974736803
149507.532637500571483.137513327878531.927761673263
150575.450895961051548.708256350216602.193535571887
151666.592293420418636.628829419529696.555757421307
152657.913718340472627.182084720006688.645351960938
153550.308766449002521.639795163271578.977737734733
154492.985309235296465.015309913896520.955308556697
155420.207279555462393.4687785372446.945780573723
156465.634500936807443.300414442854487.96858743076