Multiple Linear Regression - Estimated Regression Equation
Huwelijken[t] = + 783.757819492143 + 510.48054551803Specialedag[t] + 253.376841202445Temperatuur[t] + 4.64850458396683Neerslag[t] -20.7393173509528`Neerslagdagen `[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)783.757819492143329.5712242.37810.019050.009525
Specialedag510.48054551803245.9131262.07590.0401360.020068
Temperatuur253.37684120244512.92347219.605900
Neerslag4.648504583966832.4633931.8870.0616770.030839
`Neerslagdagen `-20.739317350952819.71155-1.05210.2949410.14747


Multiple Linear Regression - Regression Statistics
Multiple R0.903839417044672
R-squared0.816925691803653
Adjusted R-squared0.810557889779433
F-TEST (value)128.290058123097
F-TEST (DF numerator)4
F-TEST (DF denominator)115
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation706.429999739536
Sum Squared Residuals57389984.6211801


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
115791657.13344882299-78.1334488229914
221462223.86804364344-77.8680436434429
324622411.242788028850.7572119712003
436953373.52458821691321.475411783093
548314595.66286976795235.337130232048
651344975.51877172998158.481228270020
762504867.607056205261382.39294379474
857605336.65398020161423.346019798393
962494897.704990357461351.29500964254
1029173626.8598266118-709.859826611799
1117412690.71659599852-949.716595998516
1223592016.94611529174342.053884708258
1315112191.76621335191-680.766213351912
1420592014.8090777079644.1909222920424
1526352454.99073566464180.009264335357
1628673084.75083626776-217.750836267757
1744034583.28872036045-180.28872036045
1857204761.23950684753958.76049315247
1945025706.88243819514-1204.88243819514
2057495580.72714396087168.272856039132
2156274502.226585974761124.77341402524
2228464458.59705206216-1612.59705206216
2317622507.5252321629-745.525232162899
2424291569.66475172875859.335248271247
2511691907.42195354307-738.421953543073
2621543483.78434383835-1329.78434383835
2722492777.94259187488-528.942591874876
2826873238.08908125313-551.089081253127
2943594080.79097502925278.209024970755
3053825162.23824256142219.761757438578
3144595410.61720763323-951.617207633225
3263985902.52767509021495.472324909785
3345964379.456995223216.543004777000
3430243580.20408892653-556.204088926534
3518873059.56169885967-1172.56169885967
3620702033.3897594933236.6102405066764
3713511445.23044077909-94.2304407790868
3822181462.5699194448755.430080555201
3924613477.39965268741-1016.39965268741
4030283504.58201092003-476.582010920029
4147844292.82625842331491.17374157669
4249755667.92487358018-692.924873580175
4346075792.94138063183-1185.94138063183
4462495993.12444474253255.875555257467
4548094555.65532378109253.344676218905
4631572771.84939810104385.150601898956
4719102817.49008894672-907.490088946718
4822281871.21375560281356.786244397193
4915941811.76009993120-217.760099931196
5024671987.13860628861479.861393711391
5122222261.16782576316-39.1678257631586
5236073968.55591261659-361.555912616588
5346853988.50788304881696.492116951191
5449624904.9353781578557.0646218421487
5557705341.69905933541428.300940664587
5654805707.42596630108-227.425966301081
5750004902.8618149392497.1381850607566
5832283751.41601117262-523.416011172618
5919932417.24396760459-424.243967604592
6022881471.38901517965816.610984820346
6115801727.08184724278-147.081847242782
6221111373.87922955282737.120770447178
6321922435.86465904146-243.864659041463
6436013356.61768671298244.382313287020
6546654574.3512824928590.6487175071544
6648765493.65128795271-617.651287952714
6758135662.81525200155150.184747998448
6855895052.47006001463536.529939985372
6953315106.5999327226224.400067277406
7030754305.23987033068-1230.23987033068
7120022239.14276767349-237.142767673486
7223061453.24491759563852.755082404368
7315071114.7716290979392.228370902099
7419921382.01077843714609.989221562862
7524871895.67187662093591.328123379067
7634903022.16457592211467.835424077888
7746474504.28974745438142.710252545625
7855945652.41391462215-58.4139146221518
7956116669.10369882957-1058.10369882957
8057885418.66714405848369.332855941517
8162045322.74340098201881.25659901799
8230134290.851377678-1277.851377678
8319313007.53365562736-1076.53365562736
8425492337.68439657833211.315603421668
8515042451.42075228544-947.420752285444
8620902576.87996466205-486.879964662054
8727022683.7286358401918.2713641598059
8829394407.04664868711-1468.04664868711
8945004507.45009330905-7.45009330905295
9062085284.93716559634923.062834403657
9164155728.52271464467686.477285355326
9256575136.72827343953520.271726560471
9359644292.296066867871671.70393313213
9431633519.16466013197-356.164660131974
9519972383.75313661823-386.753136618229
9624221843.20244764390578.797552356096
9713762282.35226232258-906.352262322576
9822022265.781122239-63.781122239002
9926832535.40319669202147.596803307982
10033033060.85410787364242.145892126362
10152024961.55992142758240.440078572422
10252314835.4870383046395.512961695403
10348805403.43723122332-523.437231223324
10479985774.735199853352223.26480014665
10549774410.8110622014566.188937798602
10635313386.71935432891144.280645671087
10720252307.07468254040-282.074682540398
10822051424.88209778236780.117902217636
10914421004.64073845393437.35926154607
11022381546.55771254639691.442287453607
11121792487.32090791077-308.32090791077
11232183858.82314016325-640.823140163255
11351394280.16648541013858.833514589872
11449905036.17175413787-46.171754137871
11549145446.92408804679-532.92408804679
11660845687.86330547656396.136694523443
11756725225.47076589272446.529234107285
11835483782.44071143009-234.440711430094
11917933178.58369461079-1385.58369461079
12020861500.10279969565585.897200304353


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.09815851547222230.1963170309444450.901841484527778
90.1363315015295700.2726630030591410.86366849847043
100.2515735524504150.5031471049008310.748426447549585
110.2019744719591750.403948943918350.798025528040825
120.3302479687583750.660495937516750.669752031241625
130.2374071139163480.4748142278326960.762592886083652
140.2025511778456090.4051023556912180.797448822154391
150.1384703367588900.2769406735177810.86152966324111
160.1354676711718250.2709353423436490.864532328828175
170.1928052933390140.3856105866780290.807194706660985
180.1622941023926740.3245882047853480.837705897607326
190.5215710529068940.9568578941862130.478428947093106
200.4428552123979310.8857104247958630.557144787602069
210.4495505335620570.8991010671241140.550449466437943
220.8184075514182890.3631848971634230.181592448581711
230.8421984315196050.3156031369607900.157801568480395
240.8599914074116410.2800171851767170.140008592588359
250.8569728660172690.2860542679654620.143027133982731
260.8799595557837680.2400808884324640.120040444216232
270.8643822930488620.2712354139022760.135617706951138
280.8455101327415240.3089797345169520.154489867258476
290.8101228445294240.3797543109411530.189877155470576
300.7661594413702220.4676811172595570.233840558629778
310.8143468883393560.3713062233212880.185653111660644
320.7803659913825190.4392680172349620.219634008617481
330.7384239367063270.5231521265873470.261576063293673
340.7195070190404260.5609859619191480.280492980959574
350.7884107293333930.4231785413332140.211589270666607
360.7484229343899980.5031541312200040.251577065610002
370.7038104603715470.5923790792569070.296189539628453
380.7260822747766060.5478354504467870.273917725223394
390.7539084902086570.4921830195826860.246091509791343
400.7305615120473490.5388769759053020.269438487952651
410.7082612681424010.5834774637151980.291738731857599
420.7040713836774690.5918572326450620.295928616322531
430.7804855839179350.4390288321641310.219514416082065
440.74732115994490.50535768011020.2526788400551
450.7116215335478270.5767569329043470.288378466452173
460.6782931271150940.6434137457698130.321706872884906
470.7091250147532020.5817499704935960.290874985246798
480.6734045864466510.6531908271066980.326595413553349
490.6396264928606130.7207470142787730.360373507139387
500.6110203734592110.7779592530815780.388979626540789
510.5573310910229820.8853378179540360.442668908977018
520.5676181803611390.8647636392777220.432381819638861
530.5733776872309090.8532446255381830.426622312769091
540.5209706225041970.9580587549916050.479029377495802
550.4891721067543550.978344213508710.510827893245645
560.4392997153796850.878599430759370.560700284620315
570.3873832454511860.7747664909023730.612616754548814
580.3657194698595150.7314389397190290.634280530140485
590.3408564864306370.6817129728612740.659143513569363
600.3514896413995420.7029792827990850.648510358600457
610.3039910807423980.6079821614847970.696008919257602
620.299188935489840.598377870979680.70081106451016
630.2587474407562630.5174948815125250.741252559243737
640.2240129670053240.4480259340106470.775987032994677
650.2299713591654170.4599427183308350.770028640834583
660.2150420751634630.4300841503269260.784957924836537
670.1794695274644710.3589390549289420.820530472535529
680.1696682620767440.3393365241534880.830331737923256
690.1414572186401320.2829144372802640.858542781359868
700.2089050700526760.4178101401053510.791094929947324
710.1772847093019340.3545694186038690.822715290698066
720.1921682467827760.3843364935655510.807831753217224
730.1647458442668240.3294916885336470.835254155733176
740.1494437656867310.2988875313734620.850556234313269
750.1368700965173490.2737401930346970.863129903482652
760.1226355860578280.2452711721156570.877364413942171
770.09713451416606040.1942690283321210.90286548583394
780.1111925232157830.2223850464315650.888807476784218
790.1495746299296500.2991492598592990.85042537007035
800.1240523723384790.2481047446769590.87594762766152
810.1501557279514370.3003114559028730.849844272048563
820.2281003987150070.4562007974300140.771899601284993
830.2871884080296120.5743768160592230.712811591970388
840.2406220990378470.4812441980756940.759377900962153
850.2726826845803390.5453653691606780.727317315419661
860.2574239708022460.5148479416044920.742576029197754
870.2107100239892200.4214200479784390.78928997601078
880.4822153361472530.9644306722945060.517784663852747
890.4194069614030330.8388139228060660.580593038596967
900.4765741920078640.9531483840157290.523425807992136
910.4705126313033020.9410252626066040.529487368696698
920.4303558353474370.8607116706948740.569644164652563
930.7601253190179770.4797493619640470.239874680982023
940.7524394793427670.4951210413144670.247560520657233
950.7041396422307290.5917207155385430.295860357769271
960.6706539002651210.6586921994697580.329346099734879
970.700966565401050.5980668691978980.299033434598949
980.6593723806157850.681255238768430.340627619384215
990.5961541063021480.8076917873957030.403845893697852
1000.519210492413970.961579015172060.48078950758603
1010.4411632704404540.8823265408809090.558836729559546
1020.4016425656196810.8032851312393610.598357434380320
1030.3315567467851300.6631134935702590.66844325321487
1040.8750514816300450.2498970367399100.124948518369955
1050.8648919210137860.2702161579724280.135108078986214
1060.8170141142625980.3659717714748040.182985885737402
1070.7367811027686480.5264377944627040.263218897231352
1080.6425015691625870.7149968616748260.357498430837413
1090.5423485110988350.915302977802330.457651488901165
1100.4561065874384100.9122131748768190.54389341256159
1110.401445138857770.802890277715540.59855486114223
1120.6673216998164150.665356600367170.332678300183585


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level00OK