Multiple Linear Regression - Estimated Regression Equation
Werkloosheid[t] = + 162.436002337051 -14.8388999402021Rente[t] + 1.70430583183854M1[t] -1.96236083482829M2[t] -7.42472166965657M3[t] -11.0107400039865M4[t] -17.0107400039865M5[t] -15.9494531695569M6[t] + 18.9344269942195M7[t] + 26.3860478250613M8[t] + 24.5591683243636M9[t] + 13.6204551587933M10[t] + 3.45807466347745M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)162.4360023370512.41750367.191600
Rente-14.83889994020210.605681-24.499500
M11.704305831838542.4981390.68220.4977630.248882
M2-1.962360834828292.498139-0.78550.4352870.217643
M3-7.424721669656572.498277-2.97190.0042780.002139
M4-11.01074000398652.49842-4.40714.5e-052.2e-05
M5-17.01074000398652.49842-6.808600
M6-15.94945316955692.498265-6.384200
M718.93442699421952.498787.577500
M826.38604782506132.49949810.556500
M924.55916832436362.4997459.824700
M1013.62045515879332.4993665.44961e-061e-06
M113.458074663477452.4983021.38420.171520.08576


Multiple Linear Regression - Regression Statistics
Multiple R0.978730583058003
R-squared0.957913554213058
Adjusted R-squared0.949353599137748
F-TEST (value)111.906376351904
F-TEST (DF numerator)12
F-TEST (DF denominator)59
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation4.32682497197846
Sum Squared Residuals1104.56344595005


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1127123.3333333333333.66666666666746
2123119.6666666666673.33333333333329
3118117.1720858198790.827914180121201
4114114.328012482559-0.328012482558943
5108108.328012482559-0.328012482558939
6111115.324859293069-4.32485929306941
7151151.692629450866-0.69262945086605
8159159.144250281708-0.144250281707726
9158157.317370781010.682629218989846
10148146.3786576154401.62134238456025
11138136.2162771201241.78372287987606
12137132.7582024566474.2417975433535
13136134.4625082884851.53749171151496
14133130.7958416218182.20415837818179
15126125.333480786990.666519213010061
16120121.74746245266-1.74746245265997
17114115.74746245266-1.74746245265997
18116116.808749287090-0.8087492870896
19153151.6926294508661.30737054913397
20162159.1442502817082.8557497182922
21161157.317370781013.68262921898985
22149146.3786576154402.62134238456022
23139136.2162771201242.78372287987606
24135132.7582024566472.2417975433535
25130134.462508288485-4.46250828848505
26127130.795841621818-3.79584162181821
27122125.33348078699-3.33348078698994
28117121.74746245266-4.74746245265997
29112115.74746245266-3.74746245265997
30113116.808749287090-3.8087492870896
31149151.692629450866-2.69262945086603
32157159.144250281708-2.1442502817078
33157157.31737078101-0.317370781010147
34147146.3786576154400.621342384560223
35137136.2162771201240.783722879876056
36132129.6420334692042.35796653079593
37125130.752783303435-5.75278330343453
38123127.086116636768-4.08611663676769
39117118.655975813899-1.65597581389901
40114114.328012482559-0.328012482558939
41111108.3280124825592.67198751744106
42112107.3118533253604.68814667463973
43144140.5634544957143.43654550428552
44150145.344073337324.65592666268013
45149142.4784708408086.52152915919193
46134129.0171446854034.98285531459664
47123117.6676521948715.33234780512864
48116112.1321315397663.86786846023438
49117112.2041583781824.79584162181806
50111108.5374917115152.46250828848490
51105100.8492958856574.15070411434348
5210295.77938755730646.22061244269365
539589.77938755730645.22061244269365
549388.61483940070574.38516059929434
55124122.0148295704621.98517042953811
56130129.4664504013040.533549598696344
57124127.639570900606-3.639570900606
58115116.700857735036-1.70085773503563
59106106.538477239720-0.538477239719803
60105103.0804025762421.91959742375764
61105104.7847084080810.215291591919096
62101101.118041741414-0.118041741414070
639595.6556809065858-0.655680906585797
649392.06966257225580.93033742774417
658486.0696625722558-2.06966257225583
668787.1309494066855-0.130949406685456
67116119.343827581226-3.34382758122552
68120125.756725416253-5.75672541625314
69117123.929845915555-6.92984591555548
70109117.146024733242-8.1460247332417
71105115.145039205037-10.145039205037
72107121.629027501495-14.6290275014949


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.001682698278718030.003365396557436060.998317301721282
170.0001784031481106270.0003568062962212540.99982159685189
180.002986826234564480.005973652469128960.997013173765436
190.001249092523658010.002498185047316020.998750907476342
200.001007246628172630.002014493256345270.998992753371827
210.0007568043985228820.001513608797045760.999243195601477
220.0002442006043539320.0004884012087078640.999755799395646
237.78177029534565e-050.0001556354059069130.999922182297047
243.50021285233935e-057.00042570467871e-050.999964997871477
250.0005213604091468560.001042720818293710.999478639590853
260.001018963260184270.002037926520368540.998981036739816
270.0006428700839877550.001285740167975510.999357129916012
280.0004314029843012850.0008628059686025710.9995685970157
290.0002201047575879520.0004402095151759040.999779895242412
300.0001193095904134150.0002386191808268290.999880690409587
318.58238534206005e-050.0001716477068412010.99991417614658
326.97669924176976e-050.0001395339848353950.999930233007582
333.72318104866142e-057.44636209732284e-050.999962768189513
341.56430849891774e-053.12861699783548e-050.99998435691501
356.47329539389757e-061.29465907877951e-050.999993526704606
363.51307333232687e-067.02614666465374e-060.999996486926668
372.19872489131853e-054.39744978263707e-050.999978012751087
383.93654353720136e-057.87308707440273e-050.999960634564628
392.85334442375619e-055.70668884751237e-050.999971466555762
401.97656204238692e-053.95312408477384e-050.999980234379576
411.28908414385940e-052.57816828771881e-050.999987109158561
421.10407334047671e-052.20814668095343e-050.999988959266595
434.28243105963752e-068.56486211927504e-060.99999571756894
441.77212350519045e-063.54424701038089e-060.999998227876495
451.89638032290184e-063.79276064580369e-060.999998103619677
465.28133276168864e-061.05626655233773e-050.999994718667238
473.61474127178305e-057.2294825435661e-050.999963852587282
480.0002547260316305810.0005094520632611630.99974527396837
490.0002730805762727910.0005461611525455820.999726919423727
500.000248395183402560.000496790366805120.999751604816597
510.0003165297994038560.0006330595988077130.999683470200596
520.0005014185657309740.001002837131461950.999498581434269
530.002137219262318750.004274438524637490.997862780737681
540.002171990986551010.004343981973102030.99782800901345
550.00764385213972980.01528770427945960.99235614786027
560.09018269013610030.1803653802722010.9098173098639


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level390.951219512195122NOK
5% type I error level400.97560975609756NOK
10% type I error level400.97560975609756NOK