Estimated Parameters of Exponential Smoothing
ParameterValue
alpha0.85113803258568
beta0.000776052458181784
gamma1


Interpolation Forecasts of Exponential Smoothing
tObservedFittedResiduals
13642.1631.01899038461611.0810096153845
14645.3643.6630377462131.63696225378703
15647.6647.682478475829-0.0824784758291344
16648.4649.055049993036-0.655049993035732
17648.8649.619018103533-0.819018103532812
18648.9649.813719068193-0.913719068192677
19648.9649.26054623663-0.360546236629602
20648.9648.0279616898040.872038310195649
21650.3656.732552734673-6.43255273467298
22650.3650.849012982438-0.549012982438171
23650651.76448170791-1.76448170790957
24650650.085919951226-0.0859199512262876
25650.5652.939696752137-2.43969675213668
26658.4652.662239413925.73776058608041
27666659.9111171170066.08888288299408
28675.5666.4502621112649.04973788873633
29680.7675.255473186685.44452681331995
30690.6680.7768928383649.82310716163613
31690.6689.4613542895011.13864571049919
32691.1689.7060309787731.39396902122724
33692.9697.785583048908-4.8855830489083
34693.8694.113686891617-0.313686891617522
35692.8695.067792533913-2.26779253391271
36697.5693.229664342434.27033565757051
37699699.462652099881-0.46265209988087
38702.1702.10837491168-0.0083749116799936
39704.8704.5381012926780.261898707322189
40715.5706.5739226408358.92607735916533
41721.8714.7526065412657.04739345873452
42726.4722.3065535975684.09344640243228
43727.7724.8341748015932.86582519840749
44727.4726.60074637890.799253621100434
45731.3733.252753058162-1.95275305816176
46734.4732.7730447019031.62695529809696
47733.4735.104657753112-1.70465775311197
48733.4734.736130627043-1.33613062704273
49738.1735.505993615512.5940063844904
50742.6740.836312103341.76368789665958
51747.2744.8310452873642.36895471263642
52751.1749.9679238756151.13207612438521
53752.6751.2459192203811.35408077961858
54758.9753.5233272654075.37667273459317
55759.1756.9702390158562.12976098414367
56764.3757.8120321627076.48796783729301
57765.6768.909356020471-3.30935602047089
58767.6767.820082923837-0.220082923837026
59767.6768.094650210511-0.49465021051094
60765.6768.82265462753-3.22265462753046
61768.2768.582415546898-0.382415546897619
62770.9771.264361604261-0.364361604260921
63775.1773.5451028161251.55489718387457
64777.6777.8116148775-0.211614877499755
65778.6777.9847371877260.615262812273954
66778.9780.237377535784-1.33737753578441
67779.4777.4871866823041.91281331769596
68779.9778.7937779708351.10622202916500
69781.7783.84916889733-2.14916889733036
70789.1784.2051413055674.89485869443308
71788.7788.79362672087-0.0936267208702475
72788.8789.458395673745-0.658395673745531
73790.8791.826726552271-1.02672655227127
74794.1793.9657650289850.134234971015076
75795.1796.95971720046-1.85971720046018
76797.3798.057830996494-0.757830996494249
77803.8797.8896542073315.91034579266875
78805.6804.3624803049371.23751969506338
79804.6804.2934261337580.306573866241706
80804.5804.1174681180630.38253188193687
81805.8808.076469869447-2.27646986944671
82806.8809.376770229757-2.57677022975668
83805.2806.862427975836-1.66242797583618
84814.9806.105977287668.79402271233937
85816.6816.4691534701030.130846529896871
86819.5819.771397022999-0.271397022998826
87823822.1281363867680.87186361323154
88824825.721895388378-1.72189538837767
89831.4825.7318317917995.66816820820134
90831.7831.3087924318080.391207568192272
91831.1830.386135563180.713864436820813
92832.1830.5737224976071.52627750239321
93833.3835.116718085362-1.81671808536248
94838.8836.770263722292.02973627771064
95838838.322484216557-0.3224842165572
96837.3840.273642590616-2.97364259061635
97994.2839.334085104341154.865914895659
98994.2974.3823496358419.8176503641607
99994.2994.1260967547540.0739032452460151
100994.2996.772309653661-2.57230965366114
101994.2997.275704199483-3.07570419948252
1021092.6994.73628682865297.8637131713479
10311001077.0000043328422.9999956671645
10411001096.467609558583.53239044142470
1051092.61102.41227135412-9.81227135412018
1061000.71098.01963907956-97.3196390795565
1071000.71014.78259930551-14.0825993055078
1081000.51004.73918258754-4.23918258753804
1091000.51026.32978586146-25.8297858614569
1101000.5987.4691651930213.0308348069794
1111000.5998.4844679439442.01553205605614
1121000.51002.37780252342-1.87780252342316
1131000.51003.38628895331-2.88628895331226
1141087.71016.0231622300571.6768377699486
1151113.21064.8256085598148.3743914401898
11611161102.9808362698813.0191637301211
1171085.21115.00830048850-29.8083004884954
1181031.31080.55132194164-49.251321941643
1191028.71050.63118855406-21.9311885540603
1201027.51035.38096919761-7.88096919761483
1211027.51050.66360399335-23.1636039933524
1221027.51019.864615942677.63538405732743
1231027.51024.651797253822.84820274617641
1241027.51028.67874161845-1.17874161845452
1251027.51030.13702338420-2.63702338420171
1261152.21054.0907577410598.109242258949
1271155.31121.9445280883033.3554719116967
12811541142.0661602811511.9338397188540
1291119.91146.80639334363-26.9063933436250
1301079.31111.93883866952-32.638838669523
1311074.31100.24995018375-25.9499501837502
1321069.81083.69289851987-13.8928985198734


Extrapolation Forecasts of Exponential Smoothing
tForecast95% Lower Bound95% Upper Bound
1331091.601722754521043.689745462141139.51370004690
1341085.136431410711022.198969397231148.07389342419
1351082.740648766561007.712155430541157.76914210258
1361083.77047030927998.3303647739941169.21057584455
1371086.04226951660991.3145724443781180.76996658881
1381127.266832221211024.071620648471230.46204379395
1391101.94098774343990.9105462700211212.97142921683
1401090.42587692981972.0668454940741208.78490836554
1411079.16128303771953.8913430660261204.43122300939
1421066.29356380199934.4646839949431198.12244360903
1431083.35423603938945.2682143083241221.44025777043
1441090.66983370732946.5891361708921234.75053124375