Estimated Parameters of Exponential Smoothing
ParameterValue
alpha0.81076580745604
beta0.0343226921710069
gammaFALSE


Interpolation Forecasts of Exponential Smoothing
tObservedFittedResiduals
3-5-3-2
4-4-5.677186945376261.67718694537626
5-6-5.32636425097017-0.673635749029835
6-2-6.900253926692584.90025392669258
7-2-3.818661812982781.81866181298278
8-2-3.1849101054931.184910105493
9-2-3.032009331107041.03200933110704
102-2.974356866344324.97435686634432
1110.4180409187189670.581959081281033
12-80.265427329399959-8.26542732939996
13-1-7.290352191773156.29035219177315
141-2.869757561325623.86975756132562
15-1-0.304011973010718-0.695988026989282
162-1.45938451506543.4593845150654
1720.8505435114138591.14945648858614
1811.31964756670256-0.319647566702555
19-10.588757240889717-1.58875724088972
20-2-1.21529521930029-0.784704780699712
21-2-2.389285939310660.389285939310662
22-1-2.600612206467231.60061220646723
23-8-1.78529525389192-6.21470474610808
24-4-7.47931078408723.4793107840872
25-6-5.21692888971432-0.783071110285677
26-3-6.432131534328633.43213153432863
27-3-4.134283795821581.13428379582158
28-7-3.66788796468793-3.33211203531207
29-9-6.91541805423613-2.08458194576387
30-11-9.20950245194166-1.79049754805834
31-13-11.3149786418475-1.68502135815251
32-11-13.38182855374052.38182855374052
33-9-12.08513488538133.08513488538135
34-17-10.1323723903742-6.86762760962579
35-22-16.4400794581091-5.55992054189093
36-25-21.8422619567127-3.15773804328733
37-20-25.38470949933845.3847094993384
38-24-21.8513887690967-2.14861123090334
39-24-24.48561773758220.485617737582178
40-22-24.97059032157722.97059032157724
41-19-23.35816750899294.35816750899288
42-18-20.49946693118032.49946693118027
43-17-19.07818289913732.07818289913734
44-11-17.94063057749386.94063057749378
45-11-12.66763039348471.66763039348469
46-12-11.6233922010588-0.376607798941167
47-10-12.24703255310032.24703255310033
48-15-10.6809853469914-4.31901465300863
49-15-14.5586527996342-0.441347200365763
50-15-15.3047217311320.304721731132002
51-13-15.43742378864322.43742378864323
52-8-13.77317612721415.77317612721411
53-13-9.24376051493618-3.75623948506382
54-9-12.54499662105293.54499662105288
55-7-9.827991160947122.82799116094712
56-4-7.613612820348253.61361282034825
57-4-4.661720892867020.661720892867024
58-2-4.08470786000932.0847078600093
590-2.295973097301992.29597309730199
60-2-0.272060133160077-1.72793986683992
61-3-1.55868274467912-1.44131725532088
621-2.653030037209073.65303003720907
63-20.484600563308747-2.48460056330875
64-1-1.423090498580390.423090498580388
651-0.9615514480868941.96155144808689
66-30.801904533405716-3.80190453340572
67-4-2.21325065427386-1.78674934572614
68-9-3.6443079817117-5.3556920182883
69-9-8.11797840140483-0.882021598595166
70-7-8.989094412756441.98909441275644
71-14-7.47705587943139-6.52294412056861
72-12-13.04780544598941.04780544598937


Extrapolation Forecasts of Exponential Smoothing
tForecast95% Lower Bound95% Upper Bound
73-12.4512921479902-18.918569791855-5.98401450412532
74-12.7043036784653-21.1446312850718-4.26397607185885
75-12.9573152089405-23.0883104904112-2.82631992746985
76-13.2103267394157-24.8758427517723-1.54481072705908
77-13.4633382698909-26.5646932869741-0.361983252807725
78-13.7163498003661-28.18651087732680.753811276594618
79-13.9693613308413-29.7607899114311.82206724974845
80-14.2223728613165-31.30046544229242.85571971965949
81-14.4753843917916-32.81458906951563.86382028593228
82-14.7283959222668-34.30975288468814.85296104015445
83-14.981407452742-35.79090915009245.82809424460838
84-15.2344189832172-37.26187156564146.79303359920702