Multiple Linear Regression - Estimated Regression Equation
Januari[t] = -1.70155886981906 + 0.220586617165749Februari[t] -0.0909050397570039Maart[t] + 0.320677742729348April[t] -0.00850241754825384Mei[t] -0.136948354348605Juni[t] + 0.330600454575435Juli[t] + 0.216435338637184Augustus[t] -0.214888065860927September[t] + 0.248098624748796Oktober[t] + 0.219272390931795November[t] -0.0915355160682501December[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-1.701558869819064.609714-0.36910.7126450.356322
Februari0.2205866171657490.0701893.14280.002080.00104
Maart-0.09090503975700390.074067-1.22730.2219510.110975
April0.3206777427293480.0666354.81254e-062e-06
Mei-0.008502417548253840.056969-0.14920.8815950.440797
Juni-0.1369483543486050.074128-1.84740.0669910.033496
Juli0.3306004545754350.067724.88193e-062e-06
Augustus0.2164353386371840.0623843.46940.0007110.000356
September-0.2148880658609270.065699-3.27080.0013780.000689
Oktober0.2480986247487960.0789753.14150.0020880.001044
November0.2192723909317950.0921282.38010.0187840.009392
December-0.09153551606825010.06013-1.52230.1304020.065201


Multiple Linear Regression - Regression Statistics
Multiple R0.999626251698809
R-squared0.99925264308541
Adjusted R-squared0.999188417100563
F-TEST (value)15558.3856823231
F-TEST (DF numerator)11
F-TEST (DF denominator)128
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation38.073256292983
Sum Squared Residuals185545.32412815


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110731135.16118987691-62.1611898769083
211411162.46055956669-21.4605595666926
312391222.5873440941716.412655905832
413231312.7165160968210.2834839031811
512741282.45162933129-8.45162933128855
613171332.87169058398-15.8716905839815
713901395.10924106812-5.1092410681228
813181343.65974724359-25.6597472435944
914721472.33777536433-0.337775364325262
1014361455.10639810913-19.1063981091281
1152815317.71246366195-36.7124636619504
1250555101.71834920515-46.7183492051518
1352195286.73292991325-67.7329299132455
1452305174.1344791380855.865520861925
1552005141.3805912345358.6194087654731
1651395095.3607016304243.6392983695827
1752155230.68030701622-15.6803070162235
1853445340.126135269543.87386473045671
1955505472.3832639004777.616736099525
2057295703.6067631383925.393236861612
2115161500.7653703520715.2346296479253
2214361462.47551798693-26.4755179869331
2314771534.28142261889-57.2814226188898
2415221465.1892309219456.8107690780611
2515061478.5245028914927.4754971085114
2614711517.20170391278-46.201703912776
2714931516.49850829607-23.4985082960714
2815241522.901052209071.09894779092688
2915701596.29131917088-26.291319170881
3016761665.7506524981810.24934750182
31666697.277140243009-31.2771402430094
32695676.46290692309418.5370930769062
33712666.50000937104345.4999906289573
34687684.2581185499662.74188145003409
35675634.62563666574140.374363334259
36707652.23462201702854.7653779829719
37661667.285765151354-6.28576515135419
38663678.032335464925-15.0323354649248
39672695.88496938272-23.8849693827196
40760733.75433389470526.2456661052947
4112281201.3440727052226.6559272947776
4211901170.6804358063819.3195641936167
4311601232.06724409894-72.0672440989392
4412221179.8689942051842.1310057948231
4512291189.5423641652939.4576358347052
4611881161.6104205138426.389579486159
4712231237.67555110799-14.6755511079889
4812091288.5906481831-79.5906481831003
4913261273.5175017747552.4824982252503
5013411340.147743176750.85225682325355
51856927.119093064426-71.1190930644259
52823841.570402833239-18.5704028332392
53886882.9847749718553.0152250281452
54832882.593416515629-50.5934165156293
55844906.245056528439-62.2450565284393
56853870.496722985522-17.496722985522
57913926.365589652171-13.3655896521715
58928910.12468661891517.8753133810851
59969935.60843421201933.3915657879807
60945985.379670995845-40.3796709958447
611015984.40055181794230.5994481820582
62911943.722850176226-32.7228501762264
63984964.09324337324319.9067566267571
64967955.41848346608811.5815165339122
65946925.63679550428720.3632044957129
66920887.01099672197432.9890032780257
67925876.04865732936248.9513426706385
681020933.67117731425486.3288226857459
691013964.2748038808348.7251961191702
701007971.76812709363635.2318729063643
7131383129.159407889428.84059211058255
7230193140.59012151194-121.590121511944
7333113348.4488064644-37.4488064643989
7433753350.846968297924.1530317021049
7531853160.6579671618824.3420328381198
7632203144.1764583186475.8235416813622
7732243183.0924163864440.9075836135577
7831873202.38063294692-15.3806329469181
7931363161.75931110354-25.7593111035407
8032463343.04799943741-97.0479994374109
816360.71500569461952.28499430538048
826058.18268217748281.81731782251719
835152.6715853987545-1.67158539875454
845846.239719258474611.7602807415254
855051.2870734965197-1.28707349651968
865548.95313682433216.04686317566792
876048.626768689522211.3732313104778
885654.61817216379051.38182783620951
894434.41769698295619.58230301704391
904742.95863031107534.04136968892467
91295324.281337568186-29.2813375681859
92315321.697268696996-6.69726869699618
93289344.441638228201-55.4416382282005
94347326.35927327870620.6407267212945
95344319.0436824263124.9563175736896
96310340.209007180059-30.2090071800593
97363333.27016770093729.7298322990628
98314321.154564465814-7.15456446581349
99328350.224867098918-22.2248670989182
100315337.10651207781-22.1065120778098
10111901184.909574122025.09042587798316
10211801197.39368629243-17.3936862924281
10312921299.92347924344-7.92347924343701
10412791300.40960279557-21.409602795569
10512201197.2431403979822.7568596020194
10612371188.8036338038948.1963661961094
10712281205.1718897288722.8281102711291
10812261223.084229152532.91577084747361
10911771203.22668705541-26.226687055415
11012601274.61043693118-14.610436931184
111932939.474745183865-7.474745183865
112872931.874832358718-59.8748323587179
113982992.321739649282-10.3217396492815
114996992.135377878813.86462212119044
115892987.19581668246-95.1958166824597
116964902.66502570355961.334974296441
117974930.97502019464843.0249798053516
118964950.68128962035413.3187103796462
119960932.58192079371827.4180792062815
120971981.90732285587-10.9073228558703
121247249.139746932155-2.13974693215471
122249256.382620107421-7.38262010742086
123271276.877984602942-5.87798460294179
124270266.1555129910393.84448700896082
125276236.78978891352339.2102110864775
126264258.1700646214585.82993537854225
127227247.457065119337-20.4570651193373
128247252.847690218502-5.84769021850157
129253230.5359426975522.4640573024497
130277268.5738306878578.42616931214329
131474424.54776860391949.452231396081
132403426.435478577105-23.435478577105
133477428.07772926126248.9222707387382
134483458.98096587449624.0190341255042
135453413.57930326233139.4206967376692
136445447.522491530395-2.52249153039516
137432459.412038163373-27.4120381633726
138436447.806624010447-11.8066240104469
139418438.383657978663-20.3836579786628
140423474.043661405414-51.0436614054139


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
150.5198836308052520.9602327383894960.480116369194748
160.5467930368670450.906413926265910.453206963132955
170.4025196831856420.8050393663712840.597480316814358
180.3385923811507490.6771847623014970.661407618849251
190.5150891081796840.9698217836406330.484910891820316
200.4248674503098670.8497349006197330.575132549690133
210.3762038238511780.7524076477023560.623796176148822
220.2892969786530870.5785939573061740.710703021346913
230.2418636858434260.4837273716868510.758136314156574
240.4112811921328740.8225623842657480.588718807867126
250.6133661183738680.7732677632522640.386633881626132
260.6899603007353390.6200793985293220.310039699264661
270.6233274276752190.7533451446495620.376672572324781
280.5479493025327360.9041013949345290.452050697467264
290.4761616330707760.9523232661415520.523838366929224
300.4806255061854870.9612510123709740.519374493814513
310.4183018136723370.8366036273446740.581698186327663
320.3944470069897450.788894013979490.605552993010255
330.5192900824726550.9614198350546910.480709917527345
340.4570310354426840.9140620708853690.542968964557316
350.4755579300178530.9511158600357070.524442069982147
360.5306912867922740.9386174264154520.469308713207726
370.4708865033216590.9417730066433190.529113496678341
380.4153466864122030.8306933728244060.584653313587797
390.4576279524419240.9152559048838480.542372047558076
400.4439844018125440.8879688036250890.556015598187456
410.4515675760608630.9031351521217250.548432423939137
420.4591306049208230.9182612098416460.540869395079177
430.6228643196286750.7542713607426510.377135680371325
440.6489114467984440.7021771064031130.351088553201556
450.6388477125488860.7223045749022290.361152287451114
460.6108505738927140.7782988522145730.389149426107286
470.5612703070559020.8774593858881950.438729692944098
480.7430928199957320.5138143600085350.256907180004268
490.7483567566375660.5032864867248680.251643243362434
500.709748847330340.5805023053393210.29025115266966
510.8017779191130910.3964441617738170.198222080886909
520.7801206990189650.439758601962070.219879300981035
530.7385077246683980.5229845506632050.261492275331602
540.7699548800259430.4600902399481140.230045119974057
550.8540664124939650.2918671750120710.145933587506035
560.8262219623814390.3475560752371220.173778037618561
570.794202906017660.411594187964680.20579709398234
580.7663396337027480.4673207325945050.233660366297252
590.7612772164912370.4774455670175270.238722783508763
600.7704871701382080.4590256597235850.229512829861792
610.7790482339970260.4419035320059480.220951766002974
620.7599806696149810.4800386607700380.240019330385019
630.728662346259660.542675307480680.27133765374034
640.7178995668835570.5642008662328860.282100433116443
650.7081830464231630.5836339071536740.291816953576837
660.6977888393689780.6044223212620440.302211160631022
670.7311010507626480.5377978984747050.268898949237352
680.9245738716041260.1508522567917470.0754261283958737
690.9564727607658660.08705447846826760.0435272392341338
700.9522378614918150.09552427701636940.0477621385081847
710.9395986155735420.1208027688529170.0604013844264583
720.9997388309933810.0005223380132380050.000261169006619003
730.9998242812199730.0003514375600542590.00017571878002713
740.9998940239118490.0002119521763024530.000105976088151226
750.9999183443367990.0001633113264014728.16556632007358e-05
760.9999700247957085.99504085842263e-052.99752042921132e-05
770.9999580569259898.38861480223841e-054.19430740111921e-05
780.9999554727956118.90544087772929e-054.45272043886464e-05
790.9999484336837680.0001031326324634375.15663162317187e-05
800.9999856037144412.87925711184286e-051.43962855592143e-05
810.9999733390148355.33219703300387e-052.66609851650194e-05
820.9999520736500269.58526999479697e-054.79263499739849e-05
830.9999161183709160.0001677632581677018.38816290838507e-05
840.9998581058208520.0002837883582953120.000141894179147656
850.9997541984174720.0004916031650555980.000245801582527799
860.9995830835481640.0008338329036720560.000416916451836028
870.9993421167226050.001315766554789040.000657883277394522
880.998914365637350.002171268725299630.00108563436264981
890.9983844877217310.003231024556537260.00161551227826863
900.9974192523616050.005161495276789710.00258074763839486
910.997100780982620.00579843803475970.00289921901737985
920.9956846133007380.008630773398524650.00431538669926232
930.995661713724850.008676572550299050.00433828627514952
940.9936413615220530.01271727695589430.00635863847794717
950.9955533827779580.00889323444408350.00444661722204175
960.9952241421220130.009551715755973460.00477585787798673
970.9933244946769470.01335101064610670.00667550532305334
980.9902809312903070.01943813741938610.00971906870969304
990.9855708521000460.02885829579990830.0144291478999542
1000.9804380568280770.03912388634384660.0195619431719233
1010.9778201779365690.04435964412686250.0221798220634312
1020.9847282558056420.03054348838871550.0152717441943577
1030.9769488837777560.04610223244448750.0230511162222437
1040.9680872708267690.06382545834646160.0319127291732308
1050.959663072321650.08067385535670030.0403369276783501
1060.9628426194579620.07431476108407530.0371573805420376
1070.9656059657263480.06878806854730330.0343940342736517
1080.9574620643570830.08507587128583320.0425379356429166
1090.95484160424060.09031679151880060.0451583957594003
1100.9381165526726360.1237668946547280.061883447327364
1110.9100403277473740.1799193445052520.0899596722526261
1120.9768475257095580.04630494858088420.0231524742904421
1130.9640317532568260.07193649348634850.0359682467431742
1140.9439086810805430.1121826378389150.0560913189194573
1150.9811940162924750.037611967415050.018805983707525
1160.9741509096236930.05169818075261380.0258490903763069
1170.9754294246227940.04914115075441280.0245705753772064
1180.965045779081450.06990844183710010.0349542209185501
1190.9392127471120660.1215745057758690.0607872528879344
1200.9180403788775840.1639192422448330.0819596211224163
1210.9372808363560170.1254383272879650.0627191636439826
1220.8857652093212890.2284695813574220.114234790678711
1230.8170289224831580.3659421550336830.182971077516842
1240.6924806567499280.6150386865001450.307519343250072
1250.6314506168377580.7370987663244840.368549383162242


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level240.216216216216216NOK
5% type I error level350.315315315315315NOK
10% type I error level460.414414414414414NOK