Estimated Parameters of Exponential Smoothing
ParameterValue
alpha1
beta0.0767755995740817
gammaFALSE


Interpolation Forecasts of Exponential Smoothing
tObservedFittedResiduals
3358363-5
4357350.616122002136.3838779978704
5349350.106248063024-1.10624806302388
6348342.0213152047085.97868479529245
7369341.48033231453127.5196676854694
8381364.59317130116216.406828698838
9368377.852815411625-9.85281541162453
10361364.096359600904-3.09635960090429
11351356.858634736048-5.85863473604792
12351346.4088345415024.5911654584977
13358346.76132402232211.2386759776778
14354354.624180108927-0.624180108927305
15347350.576258306822-3.57625830682218
16345343.3016889310841.69831106891587
17343341.4320777816631.56792221833655
18340339.5524559500620.447544049938244
19362336.58681641283225.4131835871684
20370360.5379288198239.46207118017736
21373369.2643850078933.7356149921066
22371372.55118908869-1.55118908869031
23354370.432095616353-16.4320956163534
24357352.1705116231494.8294883768508
25363355.5412984889187.45870151108204
26364362.1139447694751.88605523052462
27363363.258747790629-0.258747790628775
28358362.238882273865-4.23888227386476
29357356.9134395457650.0865604542351548
30357355.9200852765381.07991472346185
31380356.00299637692123.9970036230792
32378380.845380718064-2.84538071806412
33376378.626924907418-2.62692490741824
34380376.4252411726153.57475882738493
35379380.69969542492-1.69969542492032
36384379.5692002895794.43079971042124
37392384.9093775939397.09062240606102
38394393.4537643805180.546235619482275
39392395.495701947712-3.49570194771223
40396393.2273173347442.77268266525567
41392397.440191708798-5.44019170879801
42396393.0225177285572.97748227144291
43419397.25111571516821.7488842848317
44421421.920899346204-0.920899346203612
45420423.850196746751-3.85019674675141
46418422.554595583041-4.55459558304142
47410420.204913776336-10.204913776336
48418411.4214254025566.57857459744406
49426419.9264994116186.07350058838244
50428428.392796060804-0.39279606080413
51430430.362638907726-0.362638907725568
52424432.334797088156-8.33479708815605
53423425.694888044385-2.69488804438453
54427424.4879863989922.51201360100811
55441428.68084774934812.3191522506525
56449443.6266580496365.37334195036419
57452452.039199599592-0.0391995995915408
58462455.036190026836.96380997317016
59455465.57084071284-10.57084071284
60461457.759258079113.24074192089046
61461464.008067983151-3.0080679831508
62463463.777121760185-0.777121760184798
63462465.717457771105-3.71745777110453
64456464.432047721837-8.43204772183668
65455457.784672202355-2.78467220235535
66456456.570877324402-0.570877324402261
67472457.52704787553814.472952124462
68472474.638217452501-2.63821745250056
69471474.435666725778-3.43566672577805
70465473.17189135297-8.17189135296974
71459466.544489494691-7.54448949469122
72465459.9652567902565.03474320974408
73468466.3518022188861.64819778111445
74467469.478343591747-2.47834359174732
75463468.28806727654-5.28806727654029
76460463.882072740796-3.88207274079588
77462460.5840242785311.41597572146895
78461462.692736663529-1.69273666352916
79476461.56277579126614.4372242087343
80476477.671202336077-1.6712023360767
81471477.542894774715-6.5428947747148
82453472.040560105436-19.040560105436
83443452.578709687115-9.57870968711478
84442441.843298507740.156701492259515
85444440.8553293587633.14467064123716
86438443.096763332707-5.09676333270687
87427436.705456271951-9.7054562719511
88424424.960314047532-0.960314047531995
89416421.886585360753-5.88658536075332
90406413.434639240237-7.43463924023746
91431402.86384035495128.1361596450487
92434430.0240108814123.97598911858807
93418433.329269829892-15.3292698298916
94412416.152355947669-4.15235594766875
95404409.833556330142-5.8335563301415
96409401.3856815452467.61431845475431
97412406.9702754099575.02972459004252
98406410.35643553105-4.35643553105047
99398404.021967581148-6.02196758114826
100397395.559627409491.44037259051009
101385394.670212878736-9.67021287873638
102390381.9277764869628.07222351303761
103413387.54752628707225.4524737129282
104413412.5016552170250.498344782974527
105401412.539915936533-11.539915936533
106397399.653931971471-2.65393197147114
107397395.4501747531331.54982524686739
108409395.56916351569613.4308364843041
109419408.6003240395610.3996759604402
110424419.3987653967994.60123460320125
111428424.7520279422413.24797205775945
112430429.0013929443750.998607055625087
113424431.078061599809-7.07806159980942
114433424.5346391766628.46536082333824
115456434.18457232948521.8154276705155
116459458.8594648688530.140535131146635
117446461.870254537808-15.8702545378084
118441447.651806230275-6.65180623027481
119439442.141109818695-3.14110981869487
120454439.89994922903714.1000507709635
121460455.9824890810024.01751091899774
122457462.290935890604-5.29093589060369
123451458.884721115295-7.88472111529461
124444452.279366924193-8.27936692419343
125437444.643713564495-7.64371356449465
126443437.0568628726085.94313712739199
127471443.51315078891527.4868492110855
128469473.623470117498-4.62347011749802
129454471.268500427114-17.2685004271142
130444454.942700953077-10.9427009530772
131436444.102568526445-8.10256852644488


Extrapolation Forecasts of Exponential Smoothing
tForecast95% Lower Bound95% Upper Bound
132435.480488969737417.335462119549453.625515819925
133434.960977939474408.296765647272461.625190231676
134434.441466909211400.543147151057468.339786667365
135433.921955878948393.33290533205474.511006425846
136433.402444848685386.39195163814480.41293805923
137432.882933818422379.586368691356486.179498945488
138432.363422788159372.840615388385491.886230187933
139431.843911757896366.10815177722497.579671738572
140431.324400727633359.358562290774503.290239164492
141430.80488969737352.571128986809509.038650407931
142430.285378667107345.731314256543514.839443077671
143429.765867636844338.828698056287520.703037217401