Estimated Parameters of Exponential Smoothing
ParameterValue
alpha0.860966419321329
beta0
gamma1


Interpolation Forecasts of Exponential Smoothing
tObservedFittedResiduals
13-5.31.72398504273504-7.02398504273504
14-7.1-7.00064466108957-0.0993553389104278
15-8-9.421734057019531.42173405701953
16-8.9-10.4957165622681.59571656226802
17-7.7-9.386572639614841.68657263961483
18-1.1-3.078371352041451.97837135204145
1941.268558828132462.73144117186754
209.6-4.7653098320856714.3653098320857
2110.911.3046917509388-0.404691750938829
221314.562384624323-1.56238462432303
2314.915.3983428098358-0.49834280983581
2420.115.80457193304254.29542806695751
2510.815.6865070119639-4.88650701196391
26119.764930177266941.23506982273306
273.88.70421853985796-4.90421853985796
2810.82.207992689159538.59200731084047
297.69.35334005190203-1.75334005190203
3010.212.7404618465082-2.54046184650824
312.213.3015303817679-11.1015303817679
32-0.1-3.024563848582042.92456384858204
33-1.71.14181342394293-2.84181342394293
34-4.82.1402681915576-6.9402681915576
35-9.9-1.5060132378786-8.3939867621214
36-13.5-7.23117328655365-6.26882671344635
37-18.1-17.7213041302963-0.378695869703684
38-18-18.91070220013720.910702200137184
39-15.7-21.10425071198625.40425071198623
40-15.2-16.84880209656971.6488020965697
41-15.1-17.11967195297782.01967195297782
42-17.9-10.5935498840081-7.30645011599186
43-14.5-15.32611321654590.826113216545874
44-9.4-19.432808743332610.0328087433326
45-4.2-9.948191395858385.74819139585838
46-2.2-2.12385377817746-0.0761462218225444
474.5-0.06247239171055564.56247239171056
4812.45.662912415454716.73708758454529
4915.87.189363016725418.6106369832746
5011.513.918748295971-2.41874829597098
5114.19.483408851735754.61659114826425
5218.812.53857556487426.26142443512575
5326.116.29058201107659.80941798892349
5427.928.2267696869416-0.326769686941635
5525.430.6341762216292-5.23417622162922
5623.422.58981484251340.810185157486561
5711.523.5383572928761-12.0383572928761
589.915.2392952598652-5.33929525986515
598.113.4142058199362-5.31420581993625
6012.610.9384468892891.66155311071098
618.28.35551902996433-0.15551902996433
625.46.00408342722131-0.604083427221314
6314.10925793152361-3.10925793152361
64-2.90.741415087711989-3.64141508771199
65-3.7-3.53930050316776-0.160699496832241
66-7-1.59631964623326-5.40368035376673
67-7.2-4.24225701193987-2.95774298806013
68-11.8-9.48631661567126-2.31368338432874
69-2.1-13.013698941561710.9136989415617
701.2-0.6204167207088981.8204167207089
712.53.7222537013196-1.2222537013196
724.85.73939287635117-0.939392876351175
73-6.60.664503817627854-7.26450381762785
74-16-7.86989447707523-8.13010552292477
75-22.7-16.592675649802-6.10732435019799
76-17.7-22.61574071789594.91574071789588
77-18.2-19.04509616332260.845096163322612
78-18.9-16.965109420265-1.93489057973501
79-16-16.28446784477510.284467844775115
80-12.2-18.64754688419836.44754688419826
81-17.1-12.7927538291711-4.30724617082894
82-18.6-14.7684658077066-3.83153419229343
83-17.5-15.7149686890253-1.78503131097469
84-24.9-14.1430349841236-10.7569650158764


Extrapolation Forecasts of Exponential Smoothing
tForecast95% Lower Bound95% Upper Bound
85-28.5499267965983-39.0735983187005-18.0262552744962
86-30.9501789558212-44.8368929699878-17.0634649416547
87-32.3919777783973-48.9731113318488-15.8108442249458
88-31.6242654625962-50.519427640348-12.7291032848444
89-32.8518648803142-53.80706274456-11.8966670160685
90-31.8859890661012-54.716089401751-9.05588873045144
91-29.2309063278293-53.7932076276257-4.66860502803286
92-30.9820276821239-57.1621691818967-4.80188618235103
93-32.1736333692898-59.8772968951535-4.469969843426
94-30.3748110952437-59.5224720058626-1.22715018462475
95-27.7379590790573-58.26138123920462.78546308108992
96-25.8765734265734-57.71636714721045.96322029406356