Estimated Parameters of Exponential Smoothing
ParameterValue
alpha0.691910685724984
betaFALSE
gammaFALSE


Interpolation Forecasts of Exponential Smoothing
tObservedFittedResiduals
27273-1
37172.308089314275-1.30808931427501
46971.4030083398455-2.40300833984546
58969.740341191620119.2596588083799
68883.06630492455554.93369507544452
77386.4799812673643-13.4799812673643
86377.1530381851023-14.1530381851023
96467.3603998293563-3.36039982935628
106465.0353032791162-1.03530327911625
116564.31896587732960.681034122670397
126764.79018066414862.20981933585141
136966.31917827614592.68082172385414
147168.17406747340422.82593252659578
157070.1293603856936-0.129360385693644
167270.03985455252271.96014544747729
178871.396100133207416.6038998667926
188382.88451587574890.115484124251140
197682.9644205753498-6.96442057534982
207078.1456635593823-8.14566355938234
217572.50959190032512.49040809967491
227174.2327318763062-3.23273187630622
237571.99597014700623.00402985299382
248174.07449050252956.92550949747054
258778.86632452791928.13367547208081
269084.49410150127115.5058984987289
278088.3036915070588-8.30369150705877
288582.5582786223612.441721377639
2910584.247731735112620.7522682648874
3010498.60644790061975.39355209938034
3198102.338304232195-4.33830423219534
329499.3365851760135-5.33658517601346
3310795.644144867448211.3558551325518
34112103.5013823792068.4986176207943
35121109.38166672492411.6183332750761
36118117.4205156682630.579484331736779
37120117.8214670696022.17853293039789
38122119.3288172833482.67118271665183
39109121.177037148523-12.1770371485235
40112112.75161502499-0.751615024990002
41132112.23156455764819.7684354423520
42127125.9095562802761.09044371972415
43116126.664045942135-10.6640459421347
44113119.285478601710-6.28547860170954
45123114.9364887922918.06351120770901
46125120.5157183613684.48428163863198
47137123.61844074493813.3815592550622
48127132.877284585177-5.87728458517742
49123128.810728577646-5.81072857764642
50128124.7902233829253.20977661707468
51114127.011102123069-13.0111021230695
52120118.0085815310591.99141846894132
53143119.38646524946923.6135347505307
54135135.724922271100-0.724922271099729
55119135.223340805406-16.2233408054058
56117123.998237943987-6.99823794398733
57132119.15608232929612.8439176707035
58139128.04292621222810.9570737877718
59158135.62424265026522.3757573497354
60141151.106268261736-10.1062682617359
61139144.113633258638-5.11363325863758
62150140.5754557641089.42454423589243
63142147.096398629009-5.09639862900934
64149143.5701459588845.42985404111639
65166147.32711999185918.6728800081410
66150160.247085202752-10.2470852027522
67139153.157017453434-14.1570174534336
68140143.361625799408-3.36162579940776
69158141.03568098738916.9643190126113
70169152.77347458826216.226525411738
71186164.00078091283221.9992190871685
72177179.222275676848-2.22227567684845
73175177.684659389410-2.68465938941029
74187175.82711487034511.1728851296546
75176183.557753481931-7.55775348193117
76185178.3284630877086.6715369122922
77204182.94457076753121.0554292324686
78188197.513047246003-9.51304724600266
79171190.930868202687-19.9308682026868
80171177.140487517471-6.14048751747148
81182172.8918185885729.10818141142792
82185179.1938666346615.80613336533926
83200183.21119235288316.7888076471166
84192194.827547764505-2.82754776450469
85185192.871137251846-7.8711372518461
86195187.4250132784867.5749867215142
87190192.666227535326-2.66622753532633
88195190.8214362130604.17856378694017
89213193.71262914822719.2873708517728
90194207.057767140109-13.0577671401094
91171198.022958524159-27.0229585241592
92171179.325484761390-8.32548476139038
93186173.56499289114412.4350071088562
94182182.168907186828-0.168907186827568
95193182.05203849936610.9479615006342
96185189.627050048560-4.62705004856036
97172186.425544676577-14.4255446765771
98185176.4443561674508.55564383254975
99179182.364097558448-3.36409755844849
100182180.0364425099371.96355749006335
101193181.39504891934711.6049510806532
102173189.424638579366-16.4246385793665
103155178.060255637132-23.060255637132
104164162.1046183462511.89538165374944
105188163.41605316600724.5839468339931
106186180.4259486777425.57405132225838
107200184.28269435039215.7173056496083
108185195.157666080161-10.1576660801613
109173188.129468377272-15.1294683772715
110190177.66122753769912.3387724623009
111190186.1985560530943.80144394690575
112193188.8288157411434.17118425885712
113195191.7149027019743.28509729802602
114178193.987896626124-15.9878966261244
115163182.925700108243-19.9257001082425
116165169.138895282798-4.13889528279805
117188166.27514940953321.7248505904666
118182181.3068056788560.693194321144034
119200181.78643423693918.2135657630606
120177194.388595013556-17.3885950135557


Extrapolation Forecasts of Exponential Smoothing
tForecast95% Lower Bound95% Upper Bound
121182.357240313932160.436308701556204.278171926309
122182.357240313932155.700626768136209.013853859728
123182.357240313932151.687665020079213.026815607786
124182.357240313932148.142175624811216.572305003054
125182.357240313932144.931066923427219.783413704438
126182.357240313932141.974493284643222.739987343222
127182.357240313932139.220086251489225.494394376376
128182.357240313932136.631297310180228.083183317685
129182.357240313932134.181419962247230.533060665618
130182.357240313932131.850236150814232.864244477051
131182.357240313932129.622002829792235.092477798073
132182.357240313932127.484177017957237.230303609907