Estimated Parameters of Exponential Smoothing
ParameterValue
alpha0.151461747160508
beta0.0130427200103942
gamma0.411395508330862


Interpolation Forecasts of Exponential Smoothing
tObservedFittedResiduals
13630622.7414529914537.25854700854688
14586581.5941120069414.40588799305851
15695689.6067393507035.39326064929708
16552546.362903457075.63709654292973
17619616.5838019734982.41619802650212
18681678.5299640408862.47003595911406
19421396.98915998535424.0108400146464
20307370.425063183991-63.4250631839909
21754644.034143876249109.965856123751
22690775.122550745969-85.122550745969
23644622.28603601275521.7139639872448
24643652.632395147972-9.63239514797181
25608642.579133375207-34.5791333752071
26651594.06608296717356.9339170328266
27691710.450060607724-19.4500606077236
28627563.55014039910163.4498596008993
29634641.538910897884-7.53891089788351
30731702.11219940840728.8878005915932
31475432.26058218656142.739417813439
32337378.215937474415-41.2159374744148
33803715.96619957087387.0338004291269
34722775.68278256634-53.6827825663403
35590665.169212499472-75.1692124994725
36724669.97356432433854.0264356756625
37627661.054035023088-34.0540350230882
38696644.76775401539951.2322459846011
39825733.81381538602191.1861846139793
40677633.0188736435343.9811263564699
41656683.648028497491-27.6480284974909
42785754.22209743288930.7779025671114
43412489.826411863353-77.8264118633532
44352388.309204917751-36.3092049177511
45839771.67846940021267.3215305997882
46729779.354215312366-50.3542153123658
47696661.9176263177734.0823736822305
48641728.658895299873-87.6588952998731
49695667.54124756584527.4587524341553
50638690.47480935382-52.4748093538202
51762777.686524115126-15.6865241151263
52635643.940752951343-8.94075295134348
53721661.15993800945959.8400619905406
54854765.16386388841888.8361361115821
55418471.547506030353-53.5475060303531
56367388.14645827814-21.1464582781402
57824809.96397645959314.0360235404074
58687768.360685353665-81.3606853536647
59601675.512577999539-74.5125779995392
60676682.902553571871-6.90255357187129
61740673.95647583708566.0435241629153
62691674.66103362190616.3389663780938
63683785.104047552285-102.104047552285
64594640.419870478895-46.4198704788954
65729675.6943995537853.30560044622
66731788.539443135078-57.5394431350778
67386422.468403530654-36.4684035306544
68331352.418228055126-21.4182280551265
69706785.92904463628-79.9290446362796
70715696.05926173547718.9407382645231
71657620.25886149439836.7411385056021
72653667.786239567656-14.7862395676563
73642682.779966428273-40.7799664282727
74643649.41223045958-6.41223045958031
75718714.4761907636153.52380923638486
76654604.85130097095449.148699029046
77632689.224460638992-57.2244606389916
78731746.22675557852-15.2267555785204
79392393.596287588733-1.59628758873299
80344333.82681837431610.1731816256845
81792751.50482159370840.4951784062916
82852714.434072433297137.565927566703
83649663.094470687955-14.0944706879545
84629685.114118839537-56.1141188395374
85685684.8719412349280.128058765071501
86617669.875978017188-52.8759780171881
87715731.457707393615-16.4577073936148
88715634.78059470987180.2194052901291
89629686.835157080812-57.8351570808125
90916758.513145180141157.486854819859
91531437.24899177825793.7510082217433
92357396.666509563253-39.6665095632533
93917817.91917394868899.080826051312
94828824.2620881863093.73791181369131
95708700.1001972673247.89980273267633
96858711.21604366433146.78395633567
97775762.17260222198212.8273977780181
98785731.45643375736253.5435662426377
991006822.939183480501183.060816519499
100789791.693616137035-2.69361613703518
101734784.297090177805-50.2970901778048
102906933.597160961274-27.5971609612737
103532562.999720612548-30.999720612548
104387457.650880734783-70.6508807347831
105991923.28661547587367.7133845241267
106841892.175259918581-51.1752599185813
107892761.619959853569130.380040146431
108782840.482166819464-58.4821668194642
109811813.893999338186-2.89399933818572
110792795.286421503453-3.28642150345263
111978923.53822696192254.4617730380776
112773807.880844284195-34.8808442841949
113796778.83802331430917.1619766856908
114946946.259515887327-0.259515887327211
115594578.64865868839315.3513413116068
116438466.603936191577-28.6039361915771
1171023987.11742555601635.8825744439844
118868909.828202733059-41.8282027330587
119791844.230794034079-53.2307940340789
120760829.155303797136-69.1553037971361
121779820.135716782185-41.135716782185
122852795.30361417460356.6963858253969
1231001952.62265448108148.3773455189191
124734804.666657762128-70.6666577621279
125996788.111416132637207.888583867363
126869978.456292529227-109.456292529227
127599599.657276192243-0.657276192242989
128426469.713577600937-43.7135776009368
12911381010.28978539866127.710214601344
1301091919.802676095642171.197323904358
131830882.93223228537-52.9322322853702
132909862.78576584876546.2142341512351


Extrapolation Forecasts of Exponential Smoothing
tForecast95% Lower Bound95% Upper Bound
133881.692180534123757.5933071837661005.79105388448
134897.994247727917772.4430440133641023.54545144247
1351044.46188121841917.4379646289561171.48579780787
136848.166521496448719.649742582394976.683300410502
137940.23799284931810.2084339586841070.26755173994
138988.588751398412857.0267251323671120.15077766446
139664.837821201911531.723868615359797.951773788463
140520.454230926883385.769119499474655.139342354292
1411128.07003080752991.7947522087071264.34530940634
1421033.74532374268895.8610914131991171.62955607217
143892.691535825937753.1797823967321032.20328925514
144915.26409972274774.1064742909261056.42172515455