Estimated Parameters of Exponential Smoothing
ParameterValue
alpha0.752503278433036
beta0.0380281280298083
gamma1


Interpolation Forecasts of Exponential Smoothing
tObservedFittedResiduals
13161.79162.070066773504-0.280066773504331
14161.79161.872791520583-0.0827915205832994
15161.85161.882014022659-0.0320140226591263
16161.77161.7276973024710.0423026975287542
17161.86161.7405147041700.119485295829747
18161.89161.7564981567930.133501843207085
19161.89162.237682768199-0.347682768198950
20161.89161.945991657381-0.0559916573813553
21162.18162.181363456848-0.00136345684839512
22162.43160.96197080591.46802919409987
23162.58162.3053104927330.274689507267198
24162.57162.570185414485-0.000185414485059709
25162.57162.5576451423230.0123548576772805
26162.57162.673035602884-0.103035602884120
27162.44162.722804819364-0.282804819364173
28162.79162.4341968330750.355803166924517
29163.15162.7470345125090.402965487491315
30163.23163.0329266465950.197073353405301
31163.23163.497796453228-0.267796453228129
32163.23163.395637739183-0.165637739182699
33163.38163.616108228195-0.236108228195491
34163.71162.6311091313581.07889086864171
35163.73163.4225074970870.307492502913021
36163.73163.6812090434740.0487909565259201
37163.73163.747201754240-0.0172017542402898
38163.73163.849520633067-0.119520633066571
39163.93163.8796494044720.050350595528073
40164.27164.0465859012960.223414098703728
41164.57164.3144749666890.255525033311045
42164.73164.4772429226060.252757077393738
43164.73164.909337497808-0.179337497807893
44164.76164.941936088549-0.181936088548639
45165.75165.1751421069440.574857893055906
46165.86165.1915037886180.668496211382006
47165.99165.5370644380650.452935561935249
48166.13165.8992507947970.230749205203182
49166.13166.149107891066-0.0191078910658575
50166.13166.287887448449-0.157887448448946
51166.15166.393308361539-0.243308361538595
52166.45166.435815473790.0141845262098172
53166.48166.601935870345-0.121935870344544
54166.51166.516906587067-0.00690658706668046
55166.51166.676159190015-0.166159190015321
56166.51166.747906249489-0.237906249488674
57166.58167.154571800821-0.574571800820991
58166.82166.3245398648920.495460135108402
59167.35166.4769689134720.873031086527845
60167.5167.1027388784870.397261121513253
61167.5167.4232736225850.0767263774152411
62167.6167.609779414124-0.00977941412364203
63167.72167.819707133685-0.0997071336846886
64167.29168.052309041777-0.762309041776575
65166.98167.596511520489-0.616511520489212
66166.98167.149714278442-0.169714278442115
67166.98167.124312579372-0.144312579372269
68166.98167.172640808570-0.192640808569678
69167.63167.5092391469990.120760853001485
70167.83167.4663685649850.363631435014867
71167.85167.6083630649420.241636935058409
72167.87167.6185066034000.251493396600239
73167.87167.7230992756310.146900724369345
74167.96167.9160896403780.0439103596216057
75167.7168.120786723988-0.420786723988186
76169.25167.9152197298431.33478027015667
77168.79169.10102045958-0.311020459580106
78168.77169.030876376209-0.260876376208614
79168.77168.976742297021-0.206742297021179
80169168.9979249338410.00207506615905118
81168.92169.595979589385-0.675979589385435
82169.23169.0282352281130.201764771886957
83169.28169.0281656139550.251834386045488
84169.29169.0586483422010.231351657798712
85169.29169.1318476971860.158152302814159
86170.29169.3177868631280.97221313687183
87170.59170.1425601368610.447439863138641
88171.98171.0862153077580.893784692242264
89172.31171.5815972128470.728402787153328
90172.28172.384539543148-0.104539543148036
91172.28172.544427747400-0.264427747399623
92172.45172.655213059747-0.20521305974691
93172.27173.004864152603-0.734864152603336
94172.65172.683760494379-0.0337604943787824
95172.08172.585822229125-0.505822229124533
96172.2172.0863879588190.113612041180943
97172.2172.0947934911640.105206508835892
98172.2172.482775274142-0.28277527414167
99172.36172.2377799887840.122220011215518
100172.53173.04236245027-0.512362450269876
101173.18172.3936312389840.786368761015837
102173.17172.9906501274690.179349872531247
103173.17173.289325572315-0.119325572315148
104173.17173.492839805206-0.322839805206229
105173.4173.58840705326-0.188407053259908
106174.47173.8331901619290.636809838071315
107174.56174.1233689255410.436631074459001
108174.59174.5137557120870.0762442879128287
109174.59174.5182061243980.071793875602026
110175.22174.8103090048810.409690995118751
111175.3175.2317361118720.0682638881279729
112175.25175.88221956009-0.632219560089851
113175.54175.5048575568050.0351424431949567
114175.58175.404974041620.175025958379905
115175.58175.644983847259-0.064983847259299
116175.68175.859085673376-0.179085673375710
117176.05176.120278124767-0.070278124767043
118176.4176.685750608855-0.285750608854613
119176.58176.2333142599170.346685740083132
120176.49176.4654066734710.0245933265290148


Extrapolation Forecasts of Exponential Smoothing
tForecast95% Lower Bound95% Upper Bound
121176.426994380779175.644288517035177.209700244523
122176.743752364600175.750564381066177.736940348134
123176.755711529035175.577532508447177.933890549623
124177.162833325453175.814248094876178.511418556030
125177.425854805415175.916167856869178.935541753961
126177.33260783522175.668117873330178.997097797111
127177.374960436864175.560076989025179.189843884704
128177.605034633421175.642897195861179.567172070981
129178.028355560677175.921207162871180.135503958484
130178.595831337892176.345258428167180.846404247617
131178.525573811711176.132667872911180.918479750512
132178.417771022660175.883241686965180.952300358355