Estimated Parameters of Exponential Smoothing
ParameterValue
alpha1
beta0.0011609542690148
gammaFALSE


Interpolation Forecasts of Exponential Smoothing
tObservedFittedResiduals
33543540
4352353-1
5372350.99883904573121.0011609542690
6371371.023220433195-0.0232204331950925
7356370.023193475334-14.0231934753340
8346355.006913189004-9.00691318900368
9347344.9964565746862.00354342531375
10347345.9987825969791.00121740302097
11348345.9999449645972.00005503540274
12350347.0022669370292.99773306297112
13353349.0057471680263.99425283197428
14351352.010384312902-1.01038431290249
15348350.009211302921-2.00921130292107
16351347.0068787004823.99312129951841
17370350.01151453170119.988485468299
18370369.0347202492370.965279750763443
19351369.035840894884-18.0358408948840
20335350.014902108402-15.0149021084018
21330333.9974704937-3.99747049370023
22328328.992829613265-0.992829613265314
23332326.9916769834875.00832301651263
24334330.9974914174743.00250858252599
25343333.0009771926319.99902280736939
26334342.012585600845-8.01258560084483
27336333.0032833553862.99671664461431
28343335.0067624063677.99323759363273
29365342.01604218967522.9839578103251
30364364.042725513614-0.0427255136136182
31351363.042675911246-12.0426759112462
32326350.028694915237-24.0286949152367
33320325.000798699296-5.00079869929596
34312318.994993000697-6.99499300069749
35315310.9868721337124.01312786628836
36316313.991531191642.00846880835991
37319314.9938629320774.00613706792268
38311317.998513874009-6.99851387400861
39315309.990388919455.0096110805502
40322313.996204848828.0037951511801
41336321.00549688896914.994503111031
42339335.0229048213673.97709517863251
43317338.027522046993-21.0275220469934
44295316.003110055506-21.0031100555061
45291293.978726405225-2.97872640522462
46283289.975268240088-6.97526824008821
47285281.9671702726473.03282972735263
48289283.9706912492675.02930875073343
49296287.9765300467318.02346995326911
50283294.985844928425-11.9858449284255
51285281.9719299105883.02807008941193
52289283.9754453614855.02455463851476
53306287.98127863964318.0187213603573
54306305.0021975511280.997802448871767
55283305.003355954141-22.0033559541409
56258281.977811064113-23.9778110641133
57255256.949973921997-1.94997392199673
58248253.947710091448-5.94771009144753
59244246.940805072026-2.94080507202600
60249242.9373909318236.06260906817673
61258247.94442934370210.0555706562976
62252256.956103401383-4.95610340138319
63246250.950349591982-4.95034959198165
64249244.9446024624904.05539753751029
65267247.94931059357319.0506894064266
66284265.97142757276818.0285724272325
67261282.992357920891-21.9923579208912
68235259.966825799077-24.9668257990772
69229233.937840456082-4.937840456082
70218227.932107849125-9.9321078491248
71218216.9205771261171.07942287388295
72229216.92183028671112.0781697132894
73237227.9358524894019.06414751059893
74231235.946375550149-4.9463755501485
75229229.940633034337-0.940633034337395
76233227.9395410024015.0604589975994
77245231.94541596387713.0545840361229
78256243.96057173894412.039428261056
79224254.97454896458-30.9745489645802
80194222.938588929729-28.9385889297289
81192192.904992551372-0.904992551371691
82178190.903941896406-12.9039418964057
83170176.888961009974-6.888961009974
84187168.88096324128018.1190367587196
85192185.9019986143566.09800138564412
86182190.909078115097-8.90907811509697
87178180.898735082826-2.89873508282628
88186176.8953697839579.10463021604286
89204184.90593984327419.0940601567258
90224202.92810717392621.071892826074
91194222.952570677859-28.9525706778587
92173192.918958067331-19.9189580673313
93178171.8958330679296.10416693207134
94168176.902919726587-8.90291972658724
95152166.892583843924-14.8925838439239
96163150.87529423513412.1247057648663
97172161.88937046405210.1106295359480
98170170.901108442574-0.901108442574156
99156168.900062296881-12.9000622968809
100155154.8850859144870.114914085513220
101178153.88521932448524.1147806755151
102194176.91321548205717.0867845179435
103164192.933052457486-28.9330524574864
104135162.899462506720-27.8994625067202
105139133.8670725066205.13292749338018
106135137.873031600706-2.87303160070579
107109133.869696142404-24.8696961424039
108121107.84082356249813.1591764375017
109131119.8561007645611.1438992354398
110135129.8690383219515.130961678049
111119133.874995133815-14.8749951338153
112121117.8577259447133.14227405528689
113151119.86137398119231.138626018808
114169149.89752450200019.1024754980002
115135167.919701602478-32.9197016024779
116105133.881483334368-28.8814833343679
117112103.8479532529958.15204674700465
118105110.857417406467-5.85741740646749
11982103.850617212724-21.8506172127241
1208180.82524964539030.174750354609671


Extrapolation Forecasts of Exponential Smoothing
tForecast95% Lower Bound95% Upper Bound
12179.825452522560553.0698731131734106.581031931948
12278.65090504512140.7908312503085116.510978839934
12377.476357567681631.080512879325123.872202256038
12476.301810090242122.6974202604850129.906199919999
12575.127262612802715.1609743212278135.093550904377
12673.95271513536328.22485421333582139.680576057391
12772.77816765792371.74282118542384143.813514130424
12871.6036201804842-4.38035117145721147.587591532426
12970.4290727030448-10.2107685227119151.068913928801
13069.2545252256053-15.7965338487652154.305584299976
13168.0799777481658-21.1739398262426157.333895322574
13266.9054302707264-26.3711658331901160.182026374643