Multiple Linear Regression - Estimated Regression Equation
Levensverwachting[t] = + 43.2565967257155 + 3.65526546336868e-11GDP[t] -6.94535406275099e-05Inkomen[t] + 2.50930862776786e-06Populatie[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)43.25659672571555.5404517.807400
GDP3.65526546336868e-1100.59310.5554790.277739
Inkomen-6.94535406275099e-050.000677-0.10260.9186420.459321
Populatie2.50930862776786e-061e-063.73980.0004350.000217


Multiple Linear Regression - Regression Statistics
Multiple R0.978685976143453
R-squared0.957826239899863
Adjusted R-squared0.95556693132307
F-TEST (value)423.946622315507
F-TEST (DF numerator)3
F-TEST (DF denominator)56
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.833482795613895
Sum Squared Residuals38.9028399527239


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
163.4666.1782557571827-2.71825575718273
264.9866.561836664185-1.58183666418495
365.4866.7734992285879-1.29349922858791
466.3566.9037976738865-0.553797673886495
566.867.1129358784063-0.312935878406271
66867.24686610576220.753133894237807
768.3767.45644465224760.913555347752436
868.6367.65083847364070.979161526359252
968.5867.86508666063440.714913339365593
1068.8768.09582583512860.77417416487138
1169.2468.33041390602730.909586093972645
1269.9368.4504369928241.479563007176
1370.3368.64832838077861.68167161922136
1469.6568.79703309915510.852966900844919
1570.5269.04833869946391.47166130053612
1670.2569.32859297305120.921407026948752
1770.0669.62621442543420.433785574565784
1870.7370.06091553756910.669084462430864
1970.5870.38768527513040.192314724869614
2070.6570.6518506662578-0.00185066625780684
2170.9470.91672033830540.0232796616946301
2270.6371.1563059881824-0.526305988182401
2370.7171.4714597730719-0.761459773071902
2470.9771.7907089292388-0.820708929238818
2571.172.0450098130539-0.945009813053896
2671.4472.3786194918063-0.93861949180627
2771.6572.7471789511621-1.09717895116211
2872.0173.037073980754-1.02707398075404
297273.0383432459794-1.0383432459794
3072.1573.3753179327312-1.2253179327312
3172.873.4383120856899-0.638312085689926
3272.7573.6165692444928-0.866569244492783
3373.2473.7697580451796-0.529758045179636
3473.2974.0563693468458-0.766369346845795
3573.773.9952167286723-0.295216728672326
3673.9374.0904718841867-0.160471884186659
3773.9374.0876648935933-0.157664893593337
3874.4374.23812958016770.191870419832294
3974.5474.30871603677950.231283963220542
4074.7474.4125718472830.327428152717036
4175.3574.58631278218110.76368721781888
4275.6674.93296641256520.72703358743477
4375.7375.32354085754950.406459142450478
4476.1475.62459950531520.515400494684838
4576.375.8538343748840.446165625115987
4676.4676.07904888520740.380951114792615
4776.4776.11262658345340.357373416546611
4876.8276.45698526065220.363014739347742
4976.9776.73054734692750.239452653072533
5077.3176.88618047562320.423819524376797
5177.5377.21240887399670.317591126003339
5277.6277.41575379343120.204246206568822
5377.877.75778276005250.0422172399475031
5477.9178.1641707087825-0.254170708782534
5578.2278.3118776800259-0.0918776800258541
5678.3278.5062002477853-0.186200247785306
5778.4778.6517591807116-0.181759180711597
5879.1278.98180802686020.138191973139823
5979.2179.18842350857270.0215764914273455
6079.5579.44745771289320.102542287106828


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.2106343227943150.4212686455886310.789365677205685
80.2113187992126060.4226375984252120.788681200787394
90.3358065799140620.6716131598281240.664193420085938
100.3334964216229470.6669928432458950.666503578377053
110.3046183489731580.6092366979463170.695381651026842
120.2097174255263330.4194348510526650.790282574473667
130.1595751490563460.3191502981126910.840424850943654
140.1163143400796680.2326286801593350.883685659920332
150.3759184928548710.7518369857097410.624081507145129
160.3239841909477250.6479683818954490.676015809052275
170.2608689959401610.5217379918803220.739131004059839
180.4445311241587930.8890622483175850.555468875841207
190.4361024953284790.8722049906569570.563897504671521
200.4912038182926350.9824076365852690.508796181707366
210.8079611060002810.3840777879994380.192038893999719
220.9197321882514630.1605356234970750.0802678117485373
230.9782065132879360.04358697342412850.0217934867120642
240.99546482559740.009070348805199920.00453517440259996
250.9989968001890370.002006399621926680.00100319981096334
260.9998660048140760.0002679903718475730.000133995185923786
270.9999081225209650.0001837549580702919.18774790351456e-05
280.9999451175466370.000109764906726715.48824533633548e-05
290.9999746848047895.06303904221633e-052.53151952110816e-05
300.9999893607409562.12785180888439e-051.0639259044422e-05
310.9999955586132528.88277349585421e-064.44138674792711e-06
320.9999964783935017.0432129986481e-063.52160649932405e-06
330.9999965317680616.93646387827516e-063.46823193913758e-06
340.9999998731414482.53717103215468e-071.26858551607734e-07
350.9999999079905681.84018863294789e-079.20094316473946e-08
360.9999999199332071.60133586850199e-078.00667934250997e-08
370.9999999651903416.96193185231712e-083.48096592615856e-08
380.9999999502861979.94276066007613e-084.97138033003806e-08
390.9999999620699347.58601318561072e-083.79300659280536e-08
400.9999999967478356.50432914889813e-093.25216457444907e-09
410.9999999942931361.14137272937713e-085.70686364688565e-09
420.9999999732836055.3432789412154e-082.6716394706077e-08
430.9999999821995623.5600875848794e-081.7800437924397e-08
440.9999999589493938.2101214163033e-084.10506070815165e-08
450.9999998912746112.1745077709666e-071.0872538854833e-07
460.9999996246118317.50776337342971e-073.75388168671485e-07
470.9999990834148761.83317024805705e-069.16585124028524e-07
480.9999966639741656.672051670925e-063.3360258354625e-06
490.9999980794928163.84101436699146e-061.92050718349573e-06
500.999991431268251.71374634997697e-058.56873174988486e-06
510.9999226922458930.0001546155082143167.73077541071578e-05
520.9993382560461630.001323487907674090.000661743953837044
530.9976031126507330.004793774698534170.00239688734926708


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level300.638297872340426NOK
5% type I error level310.659574468085106NOK
10% type I error level310.659574468085106NOK