Estimated Parameters of Exponential Smoothing
ParameterValue
alpha0.685421250451419
beta0.0109412799866998
gamma0.819241958975001


Interpolation Forecasts of Exponential Smoothing
tObservedFittedResiduals
13-1-3.315972222222222.31597222222222
1410.4043430265941280.595656973405872
15-1-1.00834862548320.00834862548320059
1622.30146870976924-0.301468709769238
1722.77166982951722-0.771669829517215
1811.6221313933677-0.622131393367705
19-1-0.387909157562383-0.612090842437617
20-2-0.77065800689697-1.22934199310303
21-2-1.75236988832863-0.24763011167137
22-11.81194734184801-2.81194734184801
23-8-1.56912749509779-6.43087250490221
24-4-15.353918136603611.3539181366036
25-60.025042096006064-6.02504209600606
26-3-2.46830675080823-0.531693249191773
27-3-4.866724135743981.86672413574398
28-7-0.410702088466094-6.58929791153391
29-9-4.46636641914675-4.53363358085325
30-11-8.278983999596-2.721016000404
31-13-11.8638851060551-1.13611489394494
32-11-12.90764465601521.90764465601521
33-9-11.60542869825492.60542869825488
34-17-6.84426644695912-10.1557335530409
35-22-16.3444938690495-5.65550613095055
36-25-25.16150020781460.161500207814605
37-20-22.16393073915482.16393073915477
38-24-17.7982784440531-6.20172155594685
39-24-23.6770840098649-0.322915990135083
40-22-23.12970299846321.12970299846317
41-19-21.53549653632712.53549653632709
42-18-20.15330150458252.15330150458254
43-17-20.06989302056853.06989302056847
44-11-17.49590277456996.49590277456988
45-11-12.88412117461081.88412117461078
46-12-11.9266790637132-0.0733209362868408
47-10-13.30137713829943.30137713829941
48-15-14.3577895975606-0.642210402439424
49-15-11.2788496897074-3.72115031029261
50-15-13.0308627140534-1.96913728594661
51-13-14.38970271831891.38970271831885
52-8-12.17745009460214.17745009460211
53-13-7.99245809288604-5.00754190711396
54-9-11.79598860555972.79598860555974
55-7-10.94809745078943.9480974507894
56-4-6.794892448624692.79489244862469
57-4-5.841810830107611.84181083010761
58-2-5.35156923546283.3515692354628
590-3.417111908050343.41711190805034
60-2-5.317706567402463.31770656740246
61-3-0.195534118597912-2.80446588140209
621-0.7383218831621661.73832188316217
63-21.46682855157308-3.46682855157308
64-11.18952980592264-2.18952980592264
651-1.283639420496852.28363942049685
66-32.0491581229258-5.0491581229258
67-4-2.11439587668134-1.88560412331866
68-9-2.23181447422992-6.76818552577008
69-9-8.12569248221572-0.874307517784276
70-7-9.17501455143582.1750145514358
71-14-8.10589233589473-5.89410766410527
72-12-16.55983247516954.55983247516954
73-16-12.3003671863524-3.69963281364763
74-20-12.4289891735743-7.57101082642573
75-12-18.15893599103586.15893599103585
76-12-11.6499950381095-0.350004961890455
77-10-11.83635609828671.83635609828668
78-10-10.83011949456740.830119494567418
79-13-10.2347052526963-2.76529474730373
80-16-12.3061119366409-3.69388806335913
81-14-14.64350801985670.643508019856728
82-17-13.9248991613344-3.07510083866558
83-24-18.6315045601661-5.36849543983395
84-25-24.1247325067592-0.87526749324082


Extrapolation Forecasts of Exponential Smoothing
tForecast95% Lower Bound95% Upper Bound
85-25.853659812623-33.2998706301959-18.40744899505
86-24.5509086670329-33.6100405047317-15.4917768293342
87-21.603034677773-32.0562184340711-11.1498509214749
88-21.0891459193564-32.7962307473476-9.38206109136519
89-20.5656484856629-33.4277812750959-7.70351569622997
90-21.1846871167731-35.1278274184507-7.24154681509553
91-22.1983503365941-37.1647185188625-7.23198215432564
92-22.7064404266679-38.6495813291852-6.7632995241507
93-21.459210123719-38.3409189810245-4.57750126641349
94-22.2099065050455-39.9982023633565-4.42161064673462
95-25.4466415665914-44.1143705472976-6.77891258588513
96-26.1087753920129-45.6326130748399-6.58493770918582