Estimated Parameters of Exponential Smoothing
ParameterValue
alpha0.999936568776778
betaFALSE
gammaFALSE


Interpolation Forecasts of Exponential Smoothing
tObservedFittedResiduals
2-7.1-5.3-1.8
3-8-7.0998858237982-0.900114176201799
4-8.9-7.99994290465676-0.900057095343236
5-7.7-8.899942908277471.19994290827747
6-1.1-7.700076113846476.60007611384647
74-1.100418650901265.10041865090126
89.63.999676474206035.60032352579397
910.99.599644764628321.30035523537168
101310.89991751687682.1000824831232
1114.912.99986678919921.90013321080077
1220.114.89987947222625.20012052777385
1310.820.099670149994-9.29967014999403
141110.80058988945320.199410110546827
153.810.9999873511728-7.19998735117276
1610.83.800456704004866.99954329599514
177.610.7995560104067-3.19955601040674
1810.27.600202951751512.59979704824849
192.210.1998350916931-7.9998350916931
20-0.12.20050743932544-2.30050743932544
21-1.7-0.0998540759990932-1.60014592400091
22-4.8-1.69989850078671-3.10010149921329
23-9.9-4.79980335676979-5.10019664323021
24-13.5-9.89967648828825-3.60032351171175
25-18.1-13.4997716270757-4.60022837292434
26-18-18.09970820188720.0997082018872071
27-15.7-18.00000632461322.30000632461321
28-15.2-15.70014589221460.500145892214588
29-15.1-15.20003172486570.100031724865731
30-17.9-15.1000063451347-2.79999365486533
31-14.5-17.89982239297753.39982239297746
32-9.4-14.50021565489315.10021565489312
33-4.2-9.400323512917685.20032351291768
34-2.2-4.200329862881572.00032986288157
354.5-2.200126883370056.70012688337005
3612.44.499575002756057.90042499724395
3715.812.39949886637853.40050113362155
3811.515.7997843020535-4.29978430205353
3914.111.50027274057792.59972725942213
4018.814.09983509611994.70016490388011
4126.118.79970186279087.3002981372092
4227.926.09953693315931.80046306684072
4325.427.8998857944253-2.4998857944253
4423.425.4001585708139-2.00015857081386
4511.523.4001268725048-11.9001268725048
469.911.500754839604-1.60075483960401
478.19.90010153783756-1.80010153783756
4812.68.100114182642474.49988581735753
498.212.5997145667382-4.39971456673825
505.48.20027907927679-2.80027907927679
5115.40017762512736-4.40017762512736
52-2.91.00027910864915-3.90027910864915
53-3.7-2.89975260052523-0.800247399474768
54-7-3.69994923932857-3.30005076067143
55-7.2-6.99979067374356-0.200209326256443
56-11.8-7.19998730047754-4.60001269952247
57-2.1-11.79970821556769.69970821556764
581.2-2.100615264357013.30061526435701
592.51.19979063793641.3002093620636
604.82.499917526129722.30008247387028
61-6.64.79985410295517-11.3998541029552
62-16-6.5992768933097-9.4007231066903
63-22.7-15.9994037006342-6.70059629936582
64-17.7-22.69957497298044.99957497298042
65-18.2-17.7003171291561-0.499682870843877
66-18.9-18.1999683045043-0.700031695495721
67-16-18.89995559613332.89995559613326
68-12.2-16.00018394773083.80018394773075
69-17.1-12.2002410503163-4.89975894968373
70-18.6-17.0996892022963-1.50031079770367
71-17.5-18.59990483345091.09990483345089
72-24.9-17.500069768309-7.39993023169098


Extrapolation Forecasts of Exponential Smoothing
tForecast95% Lower Bound95% Upper Bound
73-24.8995306133736-34.1749252453349-15.6241359814124
74-24.8995306133736-38.0165034788422-11.7825577479051
75-24.8995306133736-40.9643060157332-8.83475521101406
76-24.8995306133736-43.449437359853-6.34962386689434
77-24.8995306133736-45.638891063443-4.16017016330434
78-24.8995306133736-47.6183136673297-2.18074755941762
79-24.8995306133736-49.4385838760311-0.36047735071617
80-24.8995306133736-51.13285229787181.33379107112451
81-24.8995306133736-52.7241455824472.92508435569972
82-24.8995306133736-54.22922938018684.43016815343953
83-24.8995306133736-55.66076045430855.86169922756125
84-24.8995306133736-57.02857188294237.22951065619498