Multiple Linear Regression - Estimated Regression Equation
Happiness[t] = + 15.4702354176038 -0.188334083070925Leeftijd[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)15.47023541760381.16875713.236500
Leeftijd-0.1883340830709250.19571-0.96230.3382380.169119


Multiple Linear Regression - Regression Statistics
Multiple R0.0962667710994154
R-squared0.00926729121790724
Adjusted R-squared-0.000740109880901896
F-TEST (value)0.926043747662931
F-TEST (DF numerator)1
F-TEST (DF denominator)99
p-value0.338237663947319
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.24904341842535
Sum Squared Residuals500.761433498276


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11414.1518968361074-0.151896836107357
21814.52856500224923.47143499775079
31114.5285650022492-3.52856500224921
41613.96356275303642.03643724696356
51814.34023091917833.65976908082171
61414.5285650022492-0.528565002249213
71414.3402309191783-0.340230919178288
81514.52856500224920.471434997750787
91514.71689908532010.283100914679862
101914.52856500224924.47143499775079
111614.34023091917831.65976908082171
121814.15189683610743.84810316389264
131714.34023091917832.65976908082171
141614.15189683610741.84810316389264
151114.5285650022492-3.52856500224921
161414.1518968361074-0.151896836107362
171214.1518968361074-2.15189683610736
18914.7168990853201-5.71689908532014
191414.3402309191783-0.340230919178288
201514.52856500224920.471434997750787
211614.52856500224921.47143499775079
221714.34023091917832.65976908082171
231514.52856500224920.471434997750787
241714.52856500224922.47143499775079
251614.15189683610741.84810316389264
261214.1518968361074-2.15189683610736
271114.1518968361074-3.15189683610736
281514.52856500224920.471434997750787
291514.52856500224920.471434997750787
301714.71689908532012.28310091467986
311614.71689908532011.28310091467986
321214.1518968361074-2.15189683610736
331514.52856500224920.471434997750787
341614.34023091917831.65976908082171
351514.71689908532010.283100914679862
361214.3402309191783-2.34023091917829
371114.3402309191783-3.34023091917829
381413.96356275303640.0364372469635628
391514.15189683610740.848103163892638
401114.3402309191783-3.34023091917829
411514.52856500224920.471434997750787
421614.52856500224921.47143499775079
431514.71689908532010.283100914679862
441214.3402309191783-2.34023091917829
451714.34023091917832.65976908082171
461314.1518968361074-1.15189683610736
471514.52856500224920.471434997750787
481513.96356275303641.03643724696356
491413.96356275303640.0364372469635628
501414.5285650022492-0.528565002249213
511314.3402309191783-1.34023091917829
52714.7168990853201-7.71689908532014
531714.52856500224922.47143499775079
541314.5285650022492-1.52856500224921
551514.52856500224920.471434997750787
561414.5285650022492-0.528565002249213
571314.3402309191783-1.34023091917829
581614.34023091917831.65976908082171
591214.5285650022492-2.52856500224921
601414.3402309191783-0.340230919178288
611714.52856500224922.47143499775079
621614.34023091917831.65976908082171
631514.71689908532010.283100914679862
641614.52856500224921.47143499775079
651013.7752286699655-3.77522866996551
661514.34023091917830.659769080821712
671114.3402309191783-3.34023091917829
681314.5285650022492-1.52856500224921
691814.52856500224923.47143499775079
701414.1518968361074-0.151896836107362
711414.5285650022492-0.528565002249213
721414.1518968361074-0.151896836107362
731414.3402309191783-0.340230919178288
741214.3402309191783-2.34023091917829
751413.77522866996550.224771330034488
761514.15189683610740.848103163892638
771514.34023091917830.659769080821712
781514.52856500224920.471434997750787
791314.5285650022492-1.52856500224921
801714.34023091917832.65976908082171
811914.15189683610744.84810316389264
821514.52856500224920.471434997750787
831514.34023091917830.659769080821712
841614.15189683610741.84810316389264
851114.1518968361074-3.15189683610736
861514.34023091917830.659769080821712
871513.96356275303641.03643724696356
881414.5285650022492-0.528565002249213
891614.34023091917831.65976908082171
901614.71689908532011.28310091467986
911614.34023091917831.65976908082171
921314.1518968361074-1.15189683610736
931214.3402309191783-2.34023091917829
94913.9635627530364-4.96356275303644
951314.7168990853201-1.71689908532014
961314.5285650022492-1.52856500224921
971414.3402309191783-0.340230919178288
981914.15189683610744.84810316389264
991314.1518968361074-1.15189683610736
1001214.3402309191783-2.34023091917829
1011314.3402309191783-1.34023091917829


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.9255716809158960.1488566381682090.0744283190841045
60.8671036990170930.2657926019658140.132896300982907
70.7966740277430970.4066519445138050.203325972256903
80.699556007103690.600887985792620.30044399289631
90.5953703549471050.8092592901057910.404629645052895
100.7624735040674150.475052991865170.237526495932585
110.6868476651327630.6263046697344750.313152334867237
120.696902105191440.606195789617120.30309789480856
130.6490257685685230.7019484628629540.350974231431477
140.5726202926601960.8547594146796070.427379707339804
150.753509385612830.492981228774340.24649061438717
160.7252768737596590.5494462524806820.274723126240341
170.7887355903052490.4225288193895010.211264409694751
180.9412584289916230.1174831420167530.0587415710083766
190.9194696065475450.161060786904910.0805303934524551
200.8913887429951410.2172225140097180.108611257004859
210.8719003372409450.256199325518110.128099662759055
220.868048704062910.263902591874180.13195129593709
230.8293554381763750.341289123647250.170644561823625
240.8334276334347050.3331447331305890.166572366565295
250.8013569174284010.3972861651431980.198643082571599
260.8378122773861640.3243754452276720.162187722613836
270.8956884361147450.208623127770510.104311563885255
280.8647146825809820.2705706348380360.135285317419018
290.8282620612044520.3434758775910960.171737938795548
300.8283120943460150.343375811307970.171687905653985
310.7981952477791940.4036095044416120.201804752220806
320.806498768099740.387002463800520.19350123190026
330.7630172874569280.4739654250861450.236982712543072
340.7344011992772560.5311976014454880.265598800722744
350.6834157892657720.6331684214684560.316584210734228
360.6971772848594010.6056454302811980.302822715140599
370.7624142068535060.4751715862929880.237585793146494
380.7145644512760160.5708710974479670.285435548723984
390.668074646463790.663850707072420.33192535353621
400.7316705332742270.5366589334515460.268329466725773
410.6830981272529050.6338037454941890.316901872747095
420.6506981940649340.6986036118701320.349301805935066
430.5965159047539130.8069681904921740.403484095246087
440.6021450349893950.795709930021210.397854965010605
450.6203817769193160.7592364461613680.379618223080684
460.5799469162254570.8401061675490850.420053083774543
470.5255384032370020.9489231935259960.474461596762998
480.4788599647894590.9577199295789170.521140035210541
490.4218559310538820.8437118621077640.578144068946118
500.3698456989624920.7396913979249830.630154301037508
510.3354701779778170.6709403559556340.664529822022183
520.8658191259973970.2683617480052070.134180874002603
530.8711126945757690.2577746108484630.128887305424231
540.8547373685215850.290525262956830.145262631478415
550.8202204034886350.359559193022730.179779596511365
560.7822590317727350.435481936454530.217740968227265
570.7535787735628840.4928424528742320.246421226437116
580.7317074035204090.5365851929591830.268292596479591
590.7485408265522330.5029183468955340.251459173447767
600.7003856450252880.5992287099494250.299614354974712
610.706451011730620.5870979765387590.29354898826938
620.6828468814942320.6343062370115370.317153118505768
630.6284959789053710.7430080421892590.371504021094629
640.5937779445743810.8124441108512380.406222055425619
650.6868059953607570.6263880092784870.313194004639243
660.6361660889862820.7276678220274360.363833911013718
670.7008434239237460.5983131521525080.299156576076254
680.671109233983890.657781532032220.32889076601611
690.748943120979090.502113758041820.25105687902091
700.695726467802180.6085470643956410.30427353219782
710.6394554583250870.7210890833498260.360544541674913
720.5775604413726880.8448791172546250.422439558627312
730.5139643450211840.9720713099576330.486035654978816
740.5173015741355650.965396851728870.482698425864435
750.4511315805537250.902263161107450.548868419446275
760.3925284405792150.7850568811584310.607471559420785
770.3335602993341070.6671205986682130.666439700665893
780.2763118284502330.5526236569004670.723688171549767
790.2424601826075260.4849203652150520.757539817392474
800.2581919839122090.5163839678244190.741808016087791
810.5119957619690160.9760084760619690.488004238030985
820.4421277068921570.8842554137843130.557872293107843
830.3801380004186070.7602760008372130.619861999581393
840.382185108858790.764370217717580.61781489114121
850.4084036824331630.8168073648663270.591596317566837
860.3441246755557540.6882493511115070.655875324444246
870.3124282472571630.6248564945143260.687571752742837
880.2398887413024960.4797774826049930.760111258697504
890.2298711177839160.4597422355678320.770128882216084
900.1938487506635570.3876975013271140.806151249336443
910.2035668562141750.4071337124283510.796433143785825
920.1392288356616850.2784576713233710.860771164338315
930.1004824267762650.2009648535525310.899517573223735
940.402372432867540.8047448657350810.59762756713246
950.3352267324946360.6704534649892710.664773267505364
960.2668300079392690.5336600158785380.733169992060731


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