Estimated Parameters of Exponential Smoothing
ParameterValue
alpha0.247959489735643
beta0.0345337296488601
gamma1


Interpolation Forecasts of Exponential Smoothing
tObservedFittedResiduals
13115110.6431623931624.35683760683759
14126122.0731433875873.92685661241256
15141137.4301320536293.56986794637135
16135132.0625039833172.93749601668338
17125123.063226970461.93677302953969
18149147.4990623845791.50093761542058
19170160.1313474162149.86865258378597
20170163.5063250513586.49367494864174
21158153.8500500719094.14994992809113
22133138.731495445679-5.73149544567931
23114123.321997399523-9.3219973995227
24140135.6090430410434.39095695895716
25145136.8604638401158.13953615988541
26150149.1778641595620.822135840437994
27178163.74277873872614.2572212612745
28163160.887368307282.11263169271959
29172151.2616671194820.7383328805197
30178180.523451938489-2.52345193848936
31199198.9079414187770.0920585812226307
32199197.6941126433431.30588735665677
33184185.317990243195-1.31799024319454
34162161.6946288593080.305371140691875
35146145.4157878514160.584212148584044
36166170.890657487436-4.89065748743621
37171172.999007307478-1.99900730747771
38180177.5519720772152.4480279227848
39193202.890186966572-9.89018696657183
40181184.973617184964-3.97361718496438
41183187.853581322794-4.8535813227941
42218193.06418760533624.9358123946638
43230220.2479488461149.75205115388604
44242222.44849022136719.5515097786325
45209212.885752351814-3.88575235181364
46191190.0870074036020.912992596398141
47172174.414218571941-2.41421857194126
48194195.248286577793-1.24828657779278
49196200.685635881058-4.68563588105789
50196208.144971709427-12.144971709427
51236220.68911254080915.3108874591913
52235213.7899205208921.2100794791104
53229222.787331740536.21266825947021
54243253.774189579803-10.774189579803
55264261.008168974432.99183102556958
56272269.1678075187862.83219248121361
57237237.956186784541-0.956186784540876
58211219.640392882199-8.64039288219948
59180199.162435425533-19.1624354255333
60201216.642919355327-15.6429193553267
61204215.725163322483-11.7251633224825
62188215.568185948207-27.5681859482072
63235244.542771479217-9.54277147921678
64227235.311347905091-8.31134790509122
65234224.8512269469899.14877305301096
66264242.95770303988621.0422969601136
67302267.8723192988734.1276807011301
68293283.3377797468779.66222025312345
69259250.7346469911798.26535300882082
70229228.7694833009110.230516699089094
71203202.4970072961710.502992703828539
72229227.5877912857491.41220871425136
73242234.0786217080027.92137829199777
74233227.2801229710185.71987702898187
75267278.751213081094-11.7512130810936
76269270.56592663095-1.56592663094966
77270275.634536741209-5.63453674120859
78315299.61859526655515.3814047334446
79364333.52063681328730.4793631867132
80347330.20156310420716.7984368957929
81312298.897647562413.1023524376004
82274272.7109857773551.28901422264494
83237247.536595543642-10.5365955436417
84278271.109952789846.89004721015959
85284284.437307658674-0.437307658673831
86277274.4220833394962.57791666050406
87317312.4597305930064.54026940699367
88313316.597926811577-3.59792681157694
89318318.709630586872-0.709630586872379
90374360.36858449974813.6314155002521
91413405.8248697102667.17513028973366
92405386.87301988306218.1269801169384
93355353.5646406373541.43535936264601
94306315.946740877588-9.94674087758841
95271279.342602124886-8.34260212488573
96306316.833910444741-10.8339104447409
97315320.372592752746-5.37259275274607
98301311.475546446947-10.4755464469467
99356347.7148140007468.28518599925377
100348346.6559937740841.34400622591573
101355352.2021792990662.79782070093364
102422405.58288763546816.4171123645322
103465446.9653795972118.0346204027899
104467439.12632237637127.8736776236287
105404395.9492591677778.0507408322228
106347351.735857721497-4.73585772149727
107305317.998757011001-12.9987570110009
108336352.790665052809-16.7906650528091
109340359.23714047618-19.2371404761804
110318343.223593245563-25.2235932455632
111362389.947459573453-27.9474595734532
112348374.40678987984-26.4067898798402
113363373.650027638873-10.6500276388729
114435433.3081180437251.69188195627532
115491471.49933393927419.5006660607257
116505470.67927294531434.3207270546858
117404413.504477870091-9.50447787009142
118359354.4830410564344.51695894356567
119310316.066448406359-6.06644840635892
120337349.025200176064-12.025200176064
121360354.1538562087515.84614379124855
122342339.4130666563952.58693334360453
123406390.77767404240815.2223259575921
124396387.2629846674858.73701533251534
125420407.5340974625612.4659025374404
126472482.867470544424-10.8674705444245
127548531.89171001552216.1082899844776
128559541.90102173974417.0989782602559
129463447.87539022493815.1246097750616
130407406.0943450300020.905654969998182
131362359.3809078701022.61909212989843
132405390.64423675049214.3557632495076
133417416.6123145742680.387685425732286
134391398.878286514511-7.87828651451053
135419457.871953443464-38.8719534434644
136461436.32533337469624.6746666253042
137472463.7475613898488.25243861015156
138535520.84739366095514.1526063390454
139622596.93557876272525.0644212372754
140606610.560492406652-4.5604924066522
141508510.14372167159-2.1437216715903
142461453.704068818097.29593118191036
143390410.234924183382-20.2349241833824
144432444.833325554046-12.8333255540462


Extrapolation Forecasts of Exponential Smoothing
tForecast95% Lower Bound95% Upper Bound
145453.497721751322428.41526696502478.580176537624
146429.39056925195403.49600160324455.28513690066
147467.036052088741440.301472551842493.770631625639
148503.257406653861475.655792079981530.859021227741
149512.339520167002483.844695250902540.834345083101
150571.88796574964542.474571456703601.301360042578
151652.60953499138622.252994696779682.966075285982
152637.462256917308606.138741269289668.785772565327
153539.754768946303507.441160256025572.06837763658
154490.724986086211457.398842867374524.051129305048
155424.459265263963390.098787394926458.819743133001
156469.531518789795434.115513646617504.947523932974