Estimated Parameters of Exponential Smoothing
ParameterValue
alpha0.247959489735621
beta0.0345337296488465
gamma1


Interpolation Forecasts of Exponential Smoothing
tObservedFittedResiduals
13115110.6431623931624.35683760683766
14126122.0731433875873.92685661241272
15141137.4301320536283.56986794637163
16135132.0625039833162.9374960166837
17125123.063226970461.93677302954006
18149147.4990623845791.50093761542098
19170160.1313474162149.86865258378634
20170163.5063250513586.49367494864239
21158153.8500500719084.14994992809187
22133138.731495445679-5.73149544567858
23114123.321997399522-9.32199739952222
24140135.6090430410434.39095695895742
25145136.8604638401148.13953615988564
26150149.1778641595620.822135840438364
27178163.74277873872514.2572212612748
28163160.887368307282.1126316927203
29172151.2616671194820.7383328805204
30178180.523451938488-2.52345193848808
31199198.9079414187760.0920585812235686
32199197.6941126433421.30588735665759
33184185.317990243194-1.31799024319366
34162161.6946288593070.305371140692898
35146145.4157878514150.584212148585237
36166170.890657487435-4.89065748743522
37171172.999007307477-1.99900730747714
38180177.5519720772152.44802792278534
39193202.890186966572-9.89018696657155
40181184.973617184964-3.9736171849643
41183187.853581322794-4.8535813227945
42218193.06418760533624.9358123946635
43230220.2479488461139.75205115388661
44242222.44849022136719.5515097786334
45209212.885752351812-3.88575235181227
46191190.0870074036010.912992596399391
47172174.41421857194-2.41421857193995
48194195.248286577791-1.24828657779145
49196200.685635881057-4.6856358810567
50196208.144971709426-12.1449717094261
51236220.68911254080815.310887459192
52235213.78992052088921.2100794791114
53229222.7873317405286.21266825947168
54243253.774189579802-10.7741895798022
55264261.008168974432.99183102556992
56272269.1678075187862.83219248121378
57237237.95618678454-0.956186784540307
58211219.640392882199-8.6403928821988
59180199.162435425533-19.1624354255327
60201216.642919355326-15.6429193553264
61204215.725163322482-11.7251633224824
62188215.568185948207-27.5681859482071
63235244.542771479218-9.54277147921769
64227235.311347905093-8.31134790509267
65234224.8512269469919.14877305300945
66264242.95770303988721.0422969601127
67302267.8723192988734.1276807011296
68293283.3377797468769.66222025312373
69259250.7346469911798.26535300882136
70229228.769483300910.230516699089975
71203202.497007296170.502992703829761
72229227.5877912857471.41220871425273
73242234.0786217080017.92137829199925
74233227.2801229710165.71987702898392
75267278.751213081092-11.7512130810916
76269270.565926630948-1.5659266309483
77270275.634536741208-5.63453674120785
78315299.61859526655515.3814047334445
79364333.52063681328730.4793631867127
80347330.20156310420716.7984368957933
81312298.89764756239913.1023524376011
82274272.7109857773541.28901422264624
83237247.53659554364-10.5365955436402
84278271.1099527898396.89004721016096
85284284.437307658672-0.437307658672239
86277274.4220833394942.57791666050576
87317312.4597305930044.54026940699589
88313316.597926811575-3.59792681157455
89318318.70963058687-0.709630586870162
90374360.36858449974613.6314155002536
91413405.8248697102657.17513028973451
92405386.87301988306118.126980116939
93355353.5646406373531.43535936264681
94306315.946740877587-9.94674087758744
95271279.342602124885-8.34260212488471
96306316.83391044474-10.8339104447402
97315320.372592752746-5.3725927527455
98301311.475546446946-10.4755464469461
99356347.7148140007468.28518599925422
100348346.6559937740831.3440062259167
101355352.2021792990652.79782070093495
102422405.58288763546716.4171123645332
103465446.96537959720918.034620402791
104467439.1263223763727.8736776236296
105404395.9492591677768.05074083222434
106347351.735857721495-4.73585772149539
107305317.998757010999-12.9987570109991
108336352.790665052808-16.7906650528075
109340359.237140476179-19.2371404761793
110318343.223593245563-25.2235932455625
111362389.947459573453-27.9474595734534
112348374.406789879841-26.4067898798411
113363373.650027638874-10.6500276388742
114435433.3081180437261.69188195627368
115491471.49933393927619.5006660607241
116505470.67927294531634.3207270546843
117404413.504477870092-9.50447787009193
118359354.4830410564354.51695894356527
119310316.066448406359-6.06644840635863
120337349.025200176063-12.0252001760634
121360354.1538562087515.84614379124918
122342339.4130666563942.58693334360578
123406390.77767404240615.2223259575936
124396387.2629846674838.73701533251727
125420407.53409746255812.4659025374422
126472482.867470544423-10.867470544423
127548531.89171001552216.1082899844778
128559541.90102173974517.0989782602554
129463447.87539022493815.1246097750618
130407406.0943450300010.905654969998693
131362359.3809078701012.61909212989923
132405390.64423675049114.3557632495089
133417416.6123145742660.387685425733935
134391398.878286514509-7.87828651450872
135419457.871953443463-38.8719534434628
136461436.32533337469524.6746666253047
137472463.7475613898478.25243861015269
138535520.84739366095314.1526063390472
139622596.93557876272325.0644212372767
140606610.560492406651-4.56049240665084
141508510.14372167159-2.14372167158962
142461453.7040688180897.29593118191099
143390410.234924183382-20.2349241833816
144432444.833325554046-12.833325554046


Extrapolation Forecasts of Exponential Smoothing
tForecast95% Lower Bound95% Upper Bound
145453.497721751322428.415266965021478.580176537623
146429.390569251949403.49600160324455.285136900659
147467.036052088739440.301472551841493.770631625637
148503.25740665386475.655792079981530.859021227739
149512.339520167483.844695250902540.834345083098
150571.887965749639542.474571456702601.301360042575
151652.609534991379622.252994696779682.966075285979
152637.462256917306606.138741269289668.785772565324
153539.754768946301507.441160256026572.068377636576
154490.72498608621457.398842867375524.051129305044
155424.459265263961390.098787394926458.819743132996
156469.531518789793434.115513646617504.947523932969