Multiple Linear Regression - Estimated Regression Equation
OVERLIJDENS[t] = + 2.86996118153291 + 0.00815743505189026WERKLOZEN[t] + 1.46321307875556e-05INSCHRIJVINGEN[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)2.869961181532911.8620381.54130.1287770.064389
WERKLOZEN0.008157435051890260.0031852.56120.0131020.006551
INSCHRIJVINGEN1.46321307875556e-051e-051.46620.1480910.074046


Multiple Linear Regression - Regression Statistics
Multiple R0.453052915620016
R-squared0.205256944351798
Adjusted R-squared0.177371223100983
F-TEST (value)7.36064678068189
F-TEST (DF numerator)2
F-TEST (DF denominator)57
p-value0.00143371272974002
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.684799630737921
Sum Squared Residuals26.7301804527512


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
19.9118.882391933025621.02860806697438
28.9158.893056800733190.0219431992668083
39.4529.102164860352530.349835139647467
49.1128.333586934346830.778413065653174
58.4728.46305113318970.00894886681029972
68.238.63702687147465-0.407026871474646
78.3848.025946114321940.358053885678061
88.6258.508344964214160.116655035785842
98.2218.45607788964048-0.235077889640484
108.6498.414090060691840.234909939308155
118.6258.71532411924271-0.0903241192427117
1210.4438.085523973157322.35747602684268
1310.3579.163661441290981.19333855870902
148.5869.18187975736161-0.595879757361613
158.8928.88631783603320.00568216396680518
168.3298.73773576157968-0.408735761579676
178.1018.60083460979151-0.499834609791509
187.9228.24093345715162-0.318933457151616
198.128.13803254322792-0.0180325432279223
207.8388.44660602105048-0.60860602105048
217.7358.23049782598251-0.495497825982512
228.4068.49784954253351-0.0918495425335139
238.2098.47244031732263-0.263440317322631
249.4518.000784516639981.45021548336002
2510.0419.289790471740180.751209528259824
269.4119.012077224656860.398922775343143
2710.4058.873714503350631.53128549664937
288.4678.811407687859-0.344407687858988
298.4648.90412838366204-0.440128383662045
308.1028.34184658903722-0.239846589037217
317.6278.39119242386539-0.764192423865387
327.5138.49997997825467-0.986979978254671
337.518.39652826760707-0.886528267607071
348.2918.66886771901876-0.377867719018759
358.0648.52344210073215-0.459442100732155
369.3838.186068701053871.19693129894613
379.7069.329008579394540.37699142060546
388.5799.1271821181269-0.548182118126903
399.4749.025388912504360.448611087495635
408.3189.07935379859807-0.761353798598068
418.2138.38860932160854-0.175609321608539
428.0598.40780900475388-0.348809004753879
439.1118.32429967683140.786700323168598
447.7088.19908270933914-0.491082709339135
457.688.5386686359047-0.858668635904691
468.0148.48557383981241-0.471573839812411
478.0078.36829962273373-0.36129962273373
488.7188.35348313606140.364516863938597
499.4869.079771052474530.40622894752547
509.1138.851496182831140.261503817168862
519.0258.693255787923130.331744212076873
528.4768.83606508763058-0.36006508763058
537.9528.21156973551245-0.259569735512451
547.7598.50424824397892-0.745248243978924
557.8358.2058606198872-0.37086061988721
567.68.16229689201901-0.562296892019009
577.6518.56611899170645-0.915118991706451
588.3198.259851951632890.0591480483671143
598.8128.337087368619560.47491263138044
608.638.160415394920640.469584605079364


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.2041461914498570.4082923828997130.795853808550143
70.1054706890291740.2109413780583480.894529310970826
80.1397743022534950.279548604506990.860225697746505
90.07276224544423750.1455244908884750.927237754555763
100.03521987511609080.07043975023218150.96478012488391
110.01768368007074180.03536736014148360.982316319929258
120.8004043309284360.3991913381431280.199595669071564
130.8944696751809410.2110606496381190.105530324819059
140.8914421320156590.2171157359686820.108557867984341
150.8457926638402150.3084146723195690.154207336159785
160.824206335476570.351587329046860.17579366452343
170.8245256897318980.3509486205362040.175474310268102
180.810082661325220.379834677349560.18991733867478
190.7635330778904050.4729338442191910.236466922109595
200.7749103727280610.4501792545438770.225089627271939
210.7571144645068530.4857710709862940.242885535493147
220.6928879862949790.6142240274100420.307112013705021
230.6312110692303390.7375778615393220.368788930769661
240.8213768927374020.3572462145251960.178623107262598
250.8292444730225470.3415110539549060.170755526977453
260.7921583116931870.4156833766136270.207841688306813
270.9497830375608040.1004339248783920.0502169624391959
280.934252777510110.1314944449797810.0657472224898903
290.9190121583785630.1619756832428740.0809878416214372
300.8926437718829750.214712456234050.107356228117025
310.9007370725399320.1985258549201360.099262927460068
320.9341924459722610.1316151080554780.0658075540277389
330.9491501093606870.1016997812786250.0508498906393126
340.9314758012247530.1370483975504930.0685241987752466
350.9189023697609070.1621952604781870.0810976302390933
360.9716352496296920.05672950074061690.0283647503703084
370.9618768951910480.07624620961790370.0381231048089518
380.9542187298068280.09156254038634420.0457812701931721
390.9560256625990170.08794867480196510.0439743374009825
400.9586460917406280.08270781651874460.0413539082593723
410.9356473937404330.1287052125191330.0643526062595665
420.905832471438170.1883350571236580.0941675285618292
430.939635155705980.1207296885880390.0603648442940196
440.916737279511450.1665254409770990.0832627204885494
450.9488124372724110.1023751254551770.0511875627275885
460.9311571134650370.1376857730699260.0688428865349629
470.902211336484970.195577327030060.0977886635150298
480.8539094487221080.2921811025557850.146090551277892
490.8060183934916440.3879632130167130.193981606508357
500.7541820838607960.4916358322784080.245817916139204
510.8224197810047560.3551604379904870.177580218995244
520.7805899385717480.4388201228565050.219410061428252
530.6473070892366630.7053858215266730.352692910763337
540.4857819747787380.9715639495574760.514218025221262


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.0204081632653061OK
10% type I error level70.142857142857143NOK