Multiple Linear Regression - Estimated Regression Equation
werkloosheid[t] = + 1.65540269135324 -0.123453483808698maand[t] -3.9315572647213indicator[t] + 1.00836927675496economie[t] + 1.00186866984164`financiƫn`[t] + 0.881370886951687spaarvermogen[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1.655402691353240.580712.85070.0061670.003083
maand-0.1234534838086980.045257-2.72790.0085830.004291
indicator-3.93155726472130.029371-133.857300
economie1.008369276754960.02152846.838900
`financiƫn`1.001868669841640.1226798.166600
spaarvermogen0.8813708869516870.05626915.663400


Multiple Linear Regression - Regression Statistics
Multiple R0.998842283514877
R-squared0.997685907337214
Adjusted R-squared0.997471639498067
F-TEST (value)4656.25597994355
F-TEST (DF numerator)5
F-TEST (DF denominator)54
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.16616746115089
Sum Squared Residuals73.4371135621444


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11616.3504085670663-0.3504085670663
21715.65633124489061.34366875510941
32320.48429243116042.5157075688396
42423.82301044387340.176989556126558
52727.0985701477503-0.0985701477502617
63132.3456062647613-1.34560626476128
74038.55531405552471.44468594447534
84747.7404080441703-0.740408044170314
94343.5661093145635-0.566109314563477
106061.7039878962074-1.70398789620736
116463.78033985255880.219660147441176
126565.6600345033576-0.660034503357571
136563.67467207411671.32532792588326
145555.3463984546001-0.346398454600119
155758.9184941914218-1.91849419142177
165756.13176090109080.868239098909232
175756.38221277470270.617787225297262
186563.35322913215471.64677086784528
196970.2868475004064-1.28684750040636
207067.9182652606682.08173473933200
217173.0448035947891-2.04480359478908
227170.45918710201770.540812897982345
237372.45937953570640.540620464293637
246866.55280095185631.44719904814369
256565.6002045747442-0.600204574744149
265757.9559627644954-0.95596276449545
274140.06387391571110.936126084288936
282122.0575457829325-1.05754578293253
292119.85404169432881.14595830567117
301716.63455048729890.365449512701052
3199.03488904529497-0.0348890452949698
321112.1072908367058-1.10729083670578
3366.0109910168432-0.010991016843202
34-2-1.90582551360345-0.0941744863965514
350-0.7935045737797580.793504573779758
3654.966908474599790.0330915254002124
3732.410394177309750.589605822690246
3878.5638797287772-1.5638797287772
3944.33180606248967-0.331806062489669
4088.38031620410634-0.380316204106345
4197.501901018073411.49809898192659
421414.7793586745520-0.77935867455204
431213.7107867898797-1.71078678987971
441211.65892417595720.341075824042835
4576.748149117662290.251850882337714
461516.7754169971703-1.77541699717034
471413.94410333859460.055896661405361
481918.39868719712590.601312802874138
493938.27038850196960.729611498030369
501210.56340388595781.43659611404221
511112.1705238165586-1.17052381655857
521718.0830138022461-1.08301380224613
531617.3120951852765-1.31209518527649
542525.1215077137150-0.121507713715047
552423.10122425421060.898775745789445
562829.3882088023946-1.38820880239460
572526.296397757299-1.29639775729902
583129.47003761887731.52996238112266
592422.70716669558031.29283330441966
602423.43291573922940.567084260770562


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.03039309847164810.06078619694329620.969606901528352
100.02297014934776600.04594029869553190.977029850652234
110.1162338535378920.2324677070757840.883766146462108
120.2071761531278240.4143523062556480.792823846872176
130.3413153692259060.6826307384518120.658684630774094
140.2806322529309670.5612645058619340.719367747069033
150.6936913617931780.6126172764136440.306308638206822
160.6900226278811670.6199547442376660.309977372118833
170.6417650374708020.7164699250583960.358234962529198
180.7566155416462420.4867689167075160.243384458353758
190.7278352639682830.5443294720634350.272164736031717
200.8877009429524940.2245981140950120.112299057047506
210.9500650218153820.09986995636923580.0499349781846179
220.924233879724170.1515322405516610.0757661202758306
230.889564164957690.2208716700846220.110435835042311
240.8833210662606170.2333578674787670.116678933739383
250.879203032133840.2415939357323200.120796967866160
260.8813639178923270.2372721642153460.118636082107673
270.8684978342639560.2630043314720880.131502165736044
280.8994443752225490.2011112495549020.100555624777451
290.8948708254369970.2102583491260050.105129174563003
300.859064890051680.2818702198966410.140935109948320
310.843651223028390.3126975539432190.156348776971609
320.831601455111750.3367970897764980.168398544888249
330.7759462036411750.448107592717650.224053796358825
340.7238177762072730.5523644475854540.276182223792727
350.667514294081770.664971411836460.33248570591823
360.6233956516087040.7532086967825920.376604348391296
370.6064974016909450.787005196618110.393502598309055
380.6306905075786870.7386189848426260.369309492421313
390.5521204257045020.8957591485909960.447879574295498
400.5001269053912520.9997461892174960.499873094608748
410.784102076576980.431795846846040.21589792342302
420.7436492812065580.5127014375868840.256350718793442
430.7582264243509490.4835471512981020.241773575649051
440.7219610420062060.5560779159875880.278038957993794
450.6288221077004540.7423557845990920.371177892299546
460.5845301601179420.8309396797641170.415469839882058
470.4922214918411470.9844429836822930.507778508158853
480.4174638114023430.8349276228046870.582536188597657
490.3649977639180700.7299955278361410.63500223608193
500.3730817100226770.7461634200453530.626918289977323
510.2911051080520420.5822102161040840.708894891947958


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.0232558139534884OK
10% type I error level30.0697674418604651OK