Multiple Linear Regression - Estimated Regression Equation
WERKLOZEN[t] = + 477.412730911941 + 12.6518644068873OVERLIJDENS[t] + 0.00103154326563818INSCHRIJVINGEN[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)477.41273091194140.03675611.924400
OVERLIJDENS12.65186440688734.9397982.56120.0131020.006551
INSCHRIJVINGEN0.001031543265638180.0003762.74110.0081650.004083


Multiple Linear Regression - Regression Statistics
Multiple R0.52089604026947
R-squared0.271332684768414
Adjusted R-squared0.245765410549761
F-TEST (value)10.6124994963471
F-TEST (DF numerator)2
F-TEST (DF denominator)57
p-value0.000120804955369258
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation26.9689457429041
Sum Squared Residuals41457.4699655711


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1631.923663.262046761124-31.3390467611236
2654.294638.54737724347515.7466227565248
3671.833649.99678318779921.8362168122011
4586.84640.38992227428-53.54992227428
5600.969633.294357564807-32.3253575648067
6625.568628.351071461816-2.78307146181601
7558.11626.01339631175-67.90339631175
8630.577621.3960660835879.1809339164131
9628.654613.70585469910914.948145300891
10603.184630.808237864937-27.6242378649373
11656.255621.22070372842835.0342962715716
12600.73631.753529768381-31.0235297683809
13670.326666.6487931646453.67720683535483
14678.423640.87022636467737.5527736353235
15641.502645.137809487189-3.63580948718915
16625.311636.851229022472-11.5402290224716
17628.177622.6670790059015.50992099409926
18589.767617.118993062542-27.3519930625415
19582.471616.565536432488-34.0945364324881
20636.248603.82522795169132.4227720483089
21599.885608.198668508589-8.31366850858868
22621.694622.993893508456-1.29989350845631
23637.406609.67439810416127.7316018958388
24595.994615.952487446723-19.9584874467227
25696.308656.60080275910139.7071972408991
26674.201641.7652077499432.4357922500602
27648.861659.159499564182-10.2984995641817
28649.605629.81978466330719.7852153366931
29672.392623.21399309776849.1780069022321
30598.396621.548127907903-23.1521279079026
31613.177610.5169396975042.66006030249561
32638.104602.40879457256535.6952054274347
33615.632608.0010021231987.63099787680209
34634.465626.2510187390998.21398126090061
35638.686610.69931569751127.9866843024885
36604.243623.410525561161-19.1675255611606
37706.669649.16877023237857.5002297676222
38677.185637.63751944016339.5474805598368
39644.328660.680301125243-16.3523011252427
40664.825638.07163253810726.753367461893
41605.707622.044726783305-16.3377267833054
42600.136624.653697812234-24.5176978122343
43612.166625.157881068647-12.9918810686473
44599.659605.772319229748-6.11331922974796
45634.21609.48853675256324.7214632474367
46618.234619.158744820502-0.924744820501995
47613.576613.4812803564260.0947196435738547
48627.2613.5972315191113.6027684808904
49668.973650.49296534663418.4800346533661
50651.479639.74135490541311.7376450945873
51619.661645.770396408886-26.1093964088855
52644.26634.7458007771719.51419922282902
53579.936621.082130299575-41.1461302995752
54601.752626.727619671649-24.9756196716494
55595.376610.320035859757-14.9440358597571
56588.902607.998783068022-19.0967830680218
57634.341610.98150519270923.3594948072908
58594.305620.865764212481-26.5607642124815
59606.2625.707455326668-19.5074553266684
60610.926608.2318461103432.69415388965708


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.8937609723947370.2124780552105260.106239027605263
70.9504549850959960.09909002980800720.0495450149040036
80.9499124702015870.1001750595968270.0500875297984134
90.9264029641644810.1471940716710390.0735970358355195
100.8986131420176040.2027737159647910.101386857982396
110.8958813871172590.2082372257654820.104118612882741
120.9435548393535480.1128903212929050.0564451606464524
130.9315840845641810.1368318308716370.0684159154358186
140.9581058710720720.0837882578558560.041894128927928
150.9342489870968070.1315020258063870.0657510129031935
160.9058583990596190.1882832018807610.0941416009403806
170.8668891642835860.2662216714328290.133110835716414
180.8567000455890710.2865999088218580.143299954410929
190.863376776812530.2732464463749410.13662322318747
200.8931045766815590.2137908466368820.106895423318441
210.8534456093688210.2931087812623580.146554390631179
220.8035519884816470.3928960230367070.196448011518353
230.8082706088483470.3834587823033050.191729391151653
240.780993803475670.438012393048660.21900619652433
250.845724441656190.308551116687620.15427555834381
260.8603753516532560.2792492966934880.139624648346744
270.8252753905827360.3494492188345280.174724609417264
280.7990174250076050.4019651499847890.200982574992395
290.8933657966051910.2132684067896190.106634203394809
300.8826654705655850.234669058868830.117334529434415
310.8400476028100850.3199047943798290.159952397189915
320.8772494418474330.2455011163051340.122750558152567
330.8407054778874880.3185890442250240.159294522112512
340.7933649518191410.4132700963617180.206635048180859
350.8081625059034410.3836749881931170.191837494096559
360.7960577138106740.4078845723786520.203942286189326
370.9255972240886990.1488055518226020.0744027759113008
380.9662303934083460.06753921318330830.0337696065916541
390.9533437508777860.09331249824442730.0466562491222136
400.9712265672776210.05754686544475840.0287734327223792
410.9577017366585310.0845965266829390.0422982633414695
420.9470012292921390.1059975414157220.0529987707078609
430.9311882683770980.1376234632458040.0688117316229021
440.8940022902163830.2119954195672340.105997709783617
450.9262414648802870.1475170702394260.0737585351197132
460.8909707560211460.2180584879577070.109029243978854
470.8417174759601690.3165650480796620.158282524039831
480.7841924485144680.4316151029710640.215807551485532
490.7608548218848060.4782903562303870.239145178115194
500.7559123562844980.4881752874310050.244087643715502
510.6598447403927490.6803105192145020.340155259607251
520.790111161274190.4197776774516210.20988883872581
530.7792283147203940.4415433705592110.220771685279606
540.6261848485206480.7476303029587050.373815151479352


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level60.122448979591837NOK