Multiple Linear Regression - Estimated Regression Equation
Levensverwachting[t] = + 79.2164682073907 + 2.39562431403025e-11GDP[t] -0.000809558126717591Inkomen[t] -1.1512971934826e-06Populatie[t] + 0.503587183622271t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)79.21646820739075.19663115.243800
GDP2.39562431403025e-1100.61830.5389060.269453
Inkomen-0.0008095581267175910.000433-1.87120.0666390.033319
Populatie-1.1512971934826e-061e-06-1.99810.0506560.025328
t0.5035871836222710.0540349.319900


Multiple Linear Regression - Regression Statistics
Multiple R0.991790788244371
R-squared0.98364896764639
Adjusted R-squared0.982459801657037
F-TEST (value)827.175496484886
F-TEST (DF numerator)4
F-TEST (DF denominator)55
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.523673666876463
Sum Squared Residuals15.0828760158912


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
163.4665.6349715872993-2.17497158729926
264.9865.8175598320048-0.837559832004771
365.4866.1357005754492-0.655700575449176
466.3566.4693471069651-0.11934710696506
566.866.69304529483210.106954705167896
66867.17740929449310.822590705506894
768.3767.45469924042750.915300759572492
868.6367.73665584374770.893344156252301
968.5868.01844740557360.561552594426436
1068.8768.30095227274150.569047727258547
1169.2468.63403561245120.605964387548763
1269.9369.22008281397070.709917186029314
1370.3369.55928247671460.770717523285367
1469.6569.8119932745898-0.161993274589751
1570.5270.01554578547020.504454214529797
1670.2570.19000043782570.0599995621743192
1770.0670.3983780983392-0.3383780983392
1870.7370.42259735482170.30740264517826
1970.5870.6714921847353-0.0914921847353252
2070.6570.9414729105221-0.291472910522066
2170.9471.1548282560705-0.214828256070469
2270.6371.3417212488861-0.711721248886097
2370.7171.320412967693-0.610412967693036
2470.9771.3067698792185-0.336769879218552
2571.171.4827444574572-0.382744457457161
2671.4471.5124423039071-0.0724423039070603
2771.6571.43649871989490.21350128010512
2872.0171.5240640550410.485935944959022
297272.1768961552479-0.176896155247921
3072.1572.10130704878110.0486929512188988
3172.872.54108580050180.258914199498231
3272.7572.73632950084550.013670499154536
3373.2472.9796695942970.260330405702955
3473.2972.97228629315740.31771370684266
3573.773.62909479483960.0709052051603692
3673.9373.9674258224434-0.0374258224433616
3773.9374.4720042938046-0.54200429380461
3874.4374.6775728323247-0.247572832324686
3974.5475.0590106231558-0.51901062315583
4074.7475.3791624051947-0.639162405194739
4175.3575.5904939641689-0.240493964168944
4275.6675.49553262118970.164467378810267
4375.7375.55989534720540.170104652794609
4476.1475.67067830570.46932169430003
4576.375.94524673349380.354753266506179
4676.4676.26597002589340.194029974106591
4776.4776.9446113348891-0.474611334889075
4876.8277.0207252868931-0.200725286893095
4976.9777.2048812361472-0.234881236147177
5077.3177.5579899639343-0.247989963934324
5177.5377.5785742598662-0.0485742598661556
5277.6277.8085748930592-0.188574893059243
5377.877.79161940686780.00838059313223037
5477.9177.71699888951720.193001110482784
5578.2278.12289451176040.0971054882395426
5678.3278.3962291523456-0.0762291523456274
5778.4778.7509944442009-0.280994444200858
5879.1278.76235874393050.357641256069519
5979.2178.99188122804710.218118771952887
6079.5579.11885319515420.431146804845812


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.4016645852491740.8033291704983490.598335414750826
90.3443147386322890.6886294772645780.655685261367711
100.3227120207895470.6454240415790940.677287979210453
110.3065380844303830.6130761688607660.693461915569617
120.4731167936515030.9462335873030070.526883206348497
130.482382419900930.964764839801860.51761758009907
140.5204576646556830.9590846706886340.479542335344317
150.997583142669120.004833714661759740.00241685733087987
160.9983649008406120.003270198318776640.00163509915938832
170.9990660596800090.001867880639982890.000933940319991447
180.9999416992940880.0001166014118237845.83007059118919e-05
190.9999283664873980.0001432670252041097.16335126020544e-05
200.9999483590334890.000103281933021895.16409665109452e-05
210.9999997823503284.3529934345616e-072.1764967172808e-07
220.9999999203169281.59366144426487e-077.96830722132435e-08
230.9999999787256964.25486079337485e-082.12743039668743e-08
240.9999999925403541.49192917918832e-087.45964589594159e-09
250.9999999925472441.49055118566326e-087.45275592831629e-09
260.9999999971791475.64170575254682e-092.82085287627341e-09
270.9999999974463835.10723310535203e-092.55361655267602e-09
280.9999999987892562.42148870360835e-091.21074435180417e-09
290.9999999971321225.73575629753952e-092.86787814876976e-09
300.9999999947485251.05029493451749e-085.25147467258745e-09
310.9999999967908736.41825426960034e-093.20912713480017e-09
320.9999999881937442.36125129053527e-081.18062564526763e-08
330.9999999806731693.86536618124719e-081.93268309062359e-08
340.9999999441998791.11600241725705e-075.58001208628524e-08
350.9999998807776792.38444642763842e-071.19222321381921e-07
360.9999998616119352.76776129592673e-071.38388064796336e-07
370.9999997020451835.95909634692276e-072.97954817346138e-07
380.9999996878227546.24354491290713e-073.12177245645356e-07
390.9999992881668791.42366624292201e-067.11833121461007e-07
400.9999990370330651.92593386989076e-069.62966934945381e-07
410.9999968173322946.36533541144463e-063.18266770572232e-06
420.9999897783501462.04432997080946e-051.02216498540473e-05
430.9999919966926171.60066147653462e-058.00330738267312e-06
440.9999864650825422.70698349166207e-051.35349174583104e-05
450.9999686543511866.26912976283926e-053.13456488141963e-05
460.9999078089188340.0001843821623325139.21910811662564e-05
470.9999043132536530.0001913734926947739.56867463473863e-05
480.999770914621420.000458170757159780.00022908537857989
490.9997391610283230.000521677943352940.00026083897167647
500.9990784537851280.001843092429743310.000921546214871655
510.9954154106400830.009169178719834840.00458458935991742
520.9808189595721590.03836208085568160.0191810404278408


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level370.822222222222222NOK
5% type I error level380.844444444444444NOK
10% type I error level380.844444444444444NOK