Multiple Linear Regression - Estimated Regression Equation
Werkloosheid[t] = + 545.567567567567 + 14.3889541715629Leterme[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)545.5675675675676.0427290.285100
Leterme14.38895417156299.7598731.47430.1458090.072905


Multiple Linear Regression - Regression Statistics
Multiple R0.190056285612222
R-squared0.0361213917007146
Adjusted R-squared0.0195027950058994
F-TEST (value)2.17355245837236
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0.145809033956458
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation36.7564297923929
Sum Squared Residuals78360.0376028201


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1595545.56756756756849.4324324324317
2597545.56756756756751.4324324324324
3593545.56756756756847.4324324324324
4590545.56756756756844.4324324324324
5580545.56756756756734.4324324324324
6574545.56756756756728.4324324324325
7573545.56756756756727.4324324324325
8573545.56756756756727.4324324324325
9620545.56756756756774.4324324324324
10626545.56756756756780.4324324324324
11620545.56756756756774.4324324324324
12588545.56756756756742.4324324324324
13566545.56756756756720.4324324324324
14557545.56756756756711.4324324324324
15561545.56756756756715.4324324324324
16549545.5675675675683.43243243243245
17532545.567567567567-13.5675675675675
18526545.567567567567-19.5675675675675
19511545.567567567568-34.5675675675676
20499545.567567567568-46.5675675675676
21555545.5675675675679.43243243243245
22565545.56756756756719.4324324324324
23542545.567567567567-3.56756756756755
24527545.567567567567-18.5675675675675
25510545.567567567568-35.5675675675676
26514545.567567567568-31.5675675675676
27517545.567567567568-28.5675675675676
28508545.567567567568-37.5675675675676
29493545.567567567568-52.5675675675676
30490545.567567567567-55.5675675675676
31469545.567567567567-76.5675675675676
32478545.567567567567-67.5675675675676
33528545.567567567567-17.5675675675675
34534545.567567567567-11.5675675675675
35518545.567567567568-27.5675675675676
36506545.567567567568-39.5675675675676
37502545.567567567568-43.5675675675676
38516559.95652173913-43.9565217391304
39528559.95652173913-31.9565217391304
40533559.95652173913-26.9565217391304
41536559.95652173913-23.9565217391304
42537559.95652173913-22.9565217391304
43524559.95652173913-35.9565217391304
44536559.95652173913-23.9565217391304
45587559.9565217391327.0434782608696
46597559.9565217391337.0434782608696
47581559.9565217391321.0434782608696
48564559.956521739134.04347826086957
49558559.95652173913-1.95652173913043
50575559.9565217391315.0434782608696
51580559.9565217391320.0434782608696
52575559.9565217391315.0434782608696
53563559.956521739133.04347826086957
54552559.95652173913-7.95652173913044
55537559.95652173913-22.9565217391304
56545559.95652173913-14.9565217391304
57601559.9565217391341.0434782608696
58604559.9565217391344.0434782608696
59586559.9565217391326.0434782608696
60564559.956521739134.04347826086957


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.01385680972796480.02771361945592950.986143190272035
60.01295767440907490.02591534881814990.987042325590925
70.008084336867823650.01616867373564730.991915663132176
80.004196242710761320.008392485421522650.995803757289239
90.02758899561974430.05517799123948860.972411004380256
100.0952876418473160.1905752836946320.904712358152684
110.1700177014800210.3400354029600430.829982298519979
120.1564923576977390.3129847153954790.84350764230226
130.1979767524040620.3959535048081240.802023247595938
140.2797303589284450.559460717856890.720269641071555
150.3322814955807040.6645629911614080.667718504419296
160.4379392854734880.8758785709469750.562060714526513
170.62248664074240.75502671851520.3775133592576
180.7598091380083060.4803817239833890.240190861991694
190.8843079900275790.2313840199448420.115692009972421
200.9562307888105480.08753842237890470.0437692111894523
210.956885773141390.08622845371721890.0431142268586094
220.968738305408010.06252338918397960.0312616945919898
230.9712736004394160.05745279912116890.0287263995605844
240.973861932114530.05227613577094090.0261380678854704
250.9797559881317750.04048802373644960.0202440118682248
260.9813305504184010.0373388991631970.0186694495815985
270.981065267175280.03786946564944150.0189347328247208
280.9816344010272510.03673119794549770.0183655989727488
290.9856956550405360.02860868991892830.0143043449594641
300.9885928850587440.02281422988251220.0114071149412561
310.9959753602245380.008049279550923970.00402463977546198
320.9979681144171730.004063771165654450.00203188558282722
330.9966540150857830.006691969828433450.00334598491421672
340.9952190132433430.00956197351331380.0047809867566569
350.992732723263940.01453455347211880.0072672767360594
360.9894058357938740.02118832841225210.010594164206126
370.98493164567490.03013670865020030.0150683543251001
380.9885403436291360.0229193127417290.0114596563708645
390.988403202945860.02319359410827950.0115967970541398
400.987268387263870.02546322547225880.0127316127361294
410.9856409804058960.0287180391882080.014359019594104
420.984350052143430.03129989571313830.0156499478565691
430.991998660976850.01600267804629960.00800133902314979
440.9942369804186220.01152603916275650.00576301958137823
450.9920125441264320.01597491174713580.00798745587356788
460.9924676757505850.01506464849883090.00753232424941543
470.986916616907730.0261667661845390.0130833830922695
480.9747433351305320.05051332973893670.0252566648694684
490.9566362539115950.08672749217681040.0433637460884052
500.922699575021960.1546008499560780.0773004249780392
510.8742661657814310.2514676684371380.125733834218569
520.7954551559264580.4090896881470850.204544844073542
530.683638735816230.6327225283675410.31636126418377
540.5780359743480470.8439280513039060.421964025651953
550.6107940793620740.7784118412758530.389205920637926


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level50.0980392156862745NOK
5% type I error level270.529411764705882NOK
10% type I error level350.686274509803922NOK