Multiple Linear Regression - Estimated Regression Equation
woningprijsindex_us[t] = + 3.26808178579541 -6.7292968674863Dummy_[t] + 0.960574149589203Y1[t] + 0.123234411445745t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3.268081785795411.2896082.53420.0133570.006679
Dummy_-6.72929686748630.709424-9.485600
Y10.9605741495892030.01559361.601100
t0.1232344114457450.0315253.9090.0002020.000101


Multiple Linear Regression - Regression Statistics
Multiple R0.999235671676733
R-squared0.998471927551252
Adjusted R-squared0.998410804653302
F-TEST (value)16335.4808269943
F-TEST (DF numerator)3
F-TEST (DF denominator)75
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.69071015269754
Sum Squared Residuals214.38756153259


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110099.65045172757530.349548272424711
2100.4299.57196556760720.848034432392764
3100.5100.098641121880.401358878119529
4101.14100.2987214652930.84127853470666
5101.98101.0367233324760.94327666752383
6102.31101.9668400295770.343159970423147
7103.27102.4070639103870.862936089612962
8103.8103.4524495054380.347550494561589
9103.46104.084788216166-0.62478821616644
10105.06103.8814274167521.17857258324815
11106.08105.541580467540.538419532459678
12106.74106.6446005115670.0953994884329456
13107.35107.401813861742-0.0518138617416712
14108.96108.1109985044370.84900149556317
15109.85109.7807572967210.0692427032788055
16109.81110.758902701301-0.948902701301321
17109.99110.843714146764-0.853714146763514
18111.6111.1398519051350.460148094864688
19112.74112.80961069742-0.0696106974196718
20112.78114.027899639397-1.2478996393971
21113.66114.189557016826-0.529557016826428
22115.37115.1580966799110.211903320089339
23116.26116.923912887154-0.663912887153949
24116.24117.902058291734-1.6620582917341
25116.73118.006081220188-1.27608122018804
26118.76118.5999969649330.160003035067501
27119.78120.673196900044-0.893196900044334
28120.23121.776216944071-1.54621694407106
29121.48122.331709722832-0.851709722831949
30124.07123.6556618212640.414338178735787
31125.82126.266783280146-0.446783280145984
32126.92128.071022453373-1.15102245337283
33128.48129.250888429367-0.770888429366717
34131.44130.8726185141720.567381485828401
35133.51133.839152408401-0.3291524084014
36134.58135.950775309497-1.37077530949677
37136.68137.101824061003-0.421824061002986
38140.1139.2422641865860.857735813413935
39142.45142.650662189627-0.20066218962688
40143.91145.031245852607-1.12124585260724
41146.19146.556918522453-0.366918522453228
42149.84148.8702619949620.969738005037648
43152.31152.499592052409-0.189592052408695
44153.62154.99544461334-1.37544461333977
45155.79156.377031160747-0.587031160747384
46159.89158.5847114768021.30528852319831
47163.21162.6462999015630.563700098436855
48165.32165.958640489645-0.63864048964508
49167.68168.108686356724-0.42868635672402
50171.79170.49887576121.29112423879969
51175.38174.5700699274580.80993007254233
52177.81178.141765535929-0.331765535928649
53181.09180.5991951308760.490804869123839
54186.48183.8731127529742.60688724702549
55191.07189.1738418307061.89615816929396
56194.23193.7061115887660.523888411233762
57197.82196.8647603129140.95523968708614
58204.41200.4364559213853.97354407861515
59209.26206.8898739786232.37012602137655
60212.24211.6718930155770.568106984423206
61214.88214.6576383927980.222361607201603
62218.87217.316788559161.55321144084038
63219.86221.272713827466-1.41271382746628
64219.75222.346916647005-2.59691664700536
65220.89222.364487901996-1.47448790199629
66224.02223.5827768439740.437223156026304
67222.27226.712608343634-4.44260834363367
68217.27218.425541125812-1.15554112581201
69213.23213.745904789312-0.515904789311758
70212.44209.9884196364172.4515803635829
71207.87209.352800469687-1.48280046968738
72199.46205.08621101751-5.62621101751047
73198.19197.1310168309111.05898316908897
74199.77196.0343220723783.73567792762153
75200.1197.6752636401752.42473635982482
76195.76198.115487520985-2.35548752098535
77191.27194.069830123214-2.79983012321393
78195.79189.8800866030045.90991339699581
79192.7194.345116170593-1.64511617059312


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.005889856615314530.01177971323062910.994110143384686
80.0007814207627925480.00156284152558510.999218579237207
90.001280058759407690.002560117518815380.998719941240592
100.0006131278699447040.001226255739889410.999386872130055
110.000441759043021910.000883518086043820.999558240956978
120.0001270042815583770.0002540085631167540.999872995718442
132.94736549857688e-055.89473099715376e-050.999970526345014
144.40469075945615e-058.80938151891231e-050.999955953092405
151.29116341812702e-052.58232683625404e-050.999987088365819
166.0742547010553e-061.21485094021106e-050.9999939257453
172.58203455716982e-065.16406911433963e-060.999997417965443
181.53027137041159e-063.06054274082318e-060.99999846972863
196.17017313810558e-071.23403462762112e-060.999999382982686
202.23233138337282e-074.46466276674564e-070.999999776766862
215.55984247773268e-081.11196849554654e-070.999999944401575
226.87053255762369e-081.37410651152474e-070.999999931294674
232.24999632188856e-084.49999264377711e-080.999999977500037
248.68974475672035e-091.73794895134407e-080.999999991310255
252.44805361163145e-094.89610722326289e-090.999999997551946
264.91414748636707e-099.82829497273414e-090.999999995085852
271.96878444005683e-093.93756888011366e-090.999999998031216
285.24939717740853e-101.04987943548171e-090.99999999947506
292.29558422548247e-104.59116845096493e-100.999999999770442
306.16062661332501e-091.232125322665e-080.999999993839373
315.22403812452502e-091.044807624905e-080.999999994775962
321.67540990725043e-093.35081981450085e-090.99999999832459
336.54932089112843e-101.30986417822569e-090.999999999345068
342.22462171744387e-094.44924343488774e-090.999999997775378
357.17672814030436e-101.43534562806087e-090.999999999282327
364.11238392099702e-108.22476784199405e-100.999999999588762
371.4235968569187e-102.8471937138374e-100.99999999985764
382.29540978994238e-104.59081957988477e-100.99999999977046
397.002618546597e-111.4005237093194e-100.999999999929974
405.42215336188816e-111.08443067237763e-100.999999999945778
411.73574047261901e-113.47148094523801e-110.999999999982643
421.55317161560564e-113.10634323121129e-110.999999999984468
435.26851013804443e-121.05370202760889e-110.999999999994731
441.21750415792041e-112.43500831584082e-110.999999999987825
455.6301240966949e-121.12602481933898e-110.99999999999437
468.18172785393371e-121.63634557078674e-110.999999999991818
472.78896076198704e-125.57792152397409e-120.999999999997211
482.83123082700073e-125.66246165400146e-120.999999999997169
492.19140704667363e-124.38281409334726e-120.999999999997809
501.62324870006575e-123.24649740013149e-120.999999999998377
516.66284694285265e-131.33256938857053e-120.999999999999334
521.26666588465889e-122.53333176931777e-120.999999999998733
531.15274983513013e-122.30549967026026e-120.999999999998847
543.49404012061374e-126.98808024122749e-120.999999999996506
551.7329603306646e-123.4659206613292e-120.999999999998267
563.98873659709799e-127.97747319419599e-120.999999999996011
578.94273998232906e-121.78854799646581e-110.999999999991057
584.46127829040043e-118.92255658080086e-110.999999999955387
591.43317621121009e-112.86635242242018e-110.999999999985668
604.45850638457971e-118.91701276915943e-110.999999999955415
611.67463135741857e-103.34926271483715e-100.999999999832537
625.50688325514802e-111.1013766510296e-100.999999999944931
631.61051361747654e-093.22102723495309e-090.999999998389486
641.28162736254926e-072.56325472509853e-070.999999871837264
652.79546797539384e-075.59093595078768e-070.999999720453203
661.44421333950313e-072.88842667900626e-070.999999855578666
672.57345315764893e-065.14690631529786e-060.999997426546842
681.40802528835106e-062.81605057670212e-060.999998591974712
697.5668707566483e-071.51337415132966e-060.999999243312924
705.67620062428038e-050.0001135240124856080.999943237993757
710.00275624216157110.00551248432314220.997243757838429
720.003250481629155570.006500963258311130.996749518370844


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level650.984848484848485NOK
5% type I error level661NOK
10% type I error level661NOK