Multiple Linear Regression - Estimated Regression Equation
index[t] = + 14.9146388985236 + 0.0104662375225314maand[t] + 0.309930722230262voeding[t] + 0.184338043649384nietvoeding[t] + 0.327787601377518diensten[t] + 0.0302968821437875huur[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)14.91463889852360.75737919.692400
maand0.01046623752253140.0062211.68230.0972360.048618
voeding0.3099307222302620.01835116.888900
nietvoeding0.1843380436493840.01633111.287400
diensten0.3277876013775180.0405998.073800
huur0.03029688214378750.0431140.70270.48470.24235


Multiple Linear Regression - Regression Statistics
Multiple R0.998916916882485
R-squared0.997835006834009
Adjusted R-squared0.997670992200221
F-TEST (value)6083.81693628978
F-TEST (DF numerator)5
F-TEST (DF denominator)66
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.172467829827248
Sum Squared Residuals1.96318005347117


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1104.29104.389886570488-0.0998865704884732
2104.56104.657579654921-0.0975796549207001
3104.79104.92625016255-0.136250162550133
4105.08105.387010639998-0.307010639997951
5105.21105.539368480299-0.329368480298863
6105.43105.852548299749-0.422548299748522
7105.69106.142312733783-0.452312733783414
8105.74106.024875089858-0.284875089857989
9106.2106.262977935226-0.0629779352259944
10106.04105.989512074510.0504879254900875
11106.45106.3597958493330.0902041506672231
12106.4106.2308074216510.169192578349184
13106.48106.2970220903540.182977909645879
14106.83106.606940663160.223059336840179
15107.14106.9426740155310.19732598446915
16107.94107.9153615490760.0246384509235149
17108.46108.561143141661-0.101143141660651
18108.81108.820089821583-0.0100898215830033
19108.92108.9113166577360.00868334226388748
20108.99108.9027281343250.087271865675084
21109.16109.0074575523810.152542447619127
22109.22109.0951964043830.124803595617261
23109.43109.30456887860.125431121400267
24109.23109.097662081520.132337918480376
25109.93109.8313836394530.0986163605467653
26110.09109.9116609413870.178339058612926
27110.33110.1717063628430.158293637156741
28110.11110.0289859238370.0810140761634831
29110.35110.3126087516980.0373912483022703
30110.09110.0526955524050.0373044475953494
31110.44110.3688805613910.0711194386093935
32110.39110.2970649042810.0929350957193712
33110.62110.5100844682080.109915531792292
34110.43110.2386350895360.191364910463851
35110.46110.3279379437930.132062056207485
36110.55110.3246855919440.225314408055639
37110.94110.6597248770130.280275122987487
38111.56111.2631511574130.296848842587102
39111.82111.5246685097460.295331490253606
40111.73111.7177271235770.0122728764233254
41111.57111.5564101977010.0135898022993504
42111.85111.903035394457-0.0530353944569256
43112.06112.119382057303-0.0593820573031555
44112.2112.283223067984-0.0832230679840376
45112.47112.62531341581-0.155313415809808
46112.15112.1394311488430.0105688511565037
47112.36112.3589486333960.00105136660442817
48112.32112.2571114407080.0628885592917211
49112.67112.5355423095740.134457690425935
50113.02112.9262113971940.0937886028058511
51113.05113.0064789697840.043521030216085
52113.5113.654424223903-0.15442422390277
53113.67113.936824314102-0.266824314101632
54113.65113.947837898109-0.297837898109131
55114114.264018748375-0.264018748375455
56114.03114.189409362522-0.159409362522116
57114.08114.193987877879-0.113987877879302
58114.49114.4116584308160.0783415691844366
59114.48114.503636157641-0.0236361576413773
60114.25114.260521413619-0.0105214136189734
61114.68114.5944417754360.0855582245639461
62115.28115.2255235920580.0544764079419797
63115.9115.941615999574-0.0416159995738693
64115.87116.016530921413-0.146530921413327
65116.09116.349463081667-0.259463081666609
66116.29116.45798537087-0.167985370869685
67116.76116.776445707611-0.0164457076108268
68116.78116.799374119048-0.0193741190476303
69116.65116.5474542204280.102545779572331
70116.46116.56335129219-0.103351292189725
71116.82116.8137992293920.00620077060802394
72116.91116.7639209293970.146079070603147


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.1831777331544560.3663554663089120.816822266845544
100.09370777199769630.1874155439953930.906292228002304
110.1937531973874560.3875063947749120.806246802612544
120.131414602127580.2628292042551590.868585397872421
130.3121265744485830.6242531488971660.687873425551417
140.3538769240551110.7077538481102220.646123075944889
150.3261187828606660.6522375657213310.673881217139334
160.7196115962094390.5607768075811210.280388403790561
170.8817495748607410.2365008502785170.118250425139259
180.962745460296590.07450907940682060.0372545397034103
190.9856688001116630.02866239977667430.0143311998883372
200.98488539087050.03022921825899930.0151146091294997
210.9774715649804320.04505687003913540.0225284350195677
220.9646528737549610.07069425249007740.0353471262450387
230.9511143547456770.09777129050864620.0488856452543231
240.9445018115307190.1109963769385610.0554981884692806
250.9399953941657430.1200092116685140.0600046058342571
260.9597390654288420.08052186914231590.0402609345711579
270.9767341572910610.0465316854178790.0232658427089395
280.9965209298236660.006958140352668490.00347907017633424
290.9971520735799650.005695852840069830.00284792642003492
300.9977161405426790.004567718914642660.00228385945732133
310.9975165602605640.004966879478871370.00248343973943569
320.9974762013091810.00504759738163860.0025237986908193
330.9958246782101220.008350643579756530.00417532178987827
340.9931945476763030.0136109046473950.0068054523236975
350.9890336464541010.02193270709179870.0109663535458994
360.9826504785195210.03469904296095890.0173495214804795
370.9743367111157470.05132657776850520.0256632888842526
380.9690068823028850.061986235394230.030993117697115
390.9702871404633180.05942571907336370.0297128595366819
400.9710208224960870.0579583550078260.028979177503913
410.9585204287647390.08295914247052220.0414795712352611
420.9463896933144260.1072206133711470.0536103066855737
430.9396178650051260.1207642699897480.060382134994874
440.9393345043375870.1213309913248270.0606654956624133
450.9378605834683250.124278833063350.0621394165316748
460.9268612927990590.1462774144018820.073138707200941
470.9275184723758070.1449630552483870.0724815276241934
480.9381998178510610.1236003642978780.061800182148939
490.9469152294497420.1061695411005170.0530847705502583
500.946091338760790.107817322478420.0539086612392099
510.9546724650548620.09065506989027510.0453275349451376
520.9649490795973020.07010184080539560.0350509204026978
530.9767305286964860.04653894260702810.023269471303514
540.9847535905132270.03049281897354630.0152464094867731
550.993627866278750.01274426744249980.00637213372124992
560.9952361886993440.009527622601311190.0047638113006556
570.9943605647609640.01127887047807130.00563943523903563
580.9894448164892690.02111036702146210.0105551835107311
590.9753674330226910.04926513395461710.0246325669773086
600.9470675253977990.1058649492044020.0529324746022012
610.9259703156002160.1480593687995680.0740296843997838
620.8758567459570090.2482865080859810.124143254042991
630.7501384226715180.4997231546569640.249861577328482


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level70.127272727272727NOK
5% type I error level200.363636363636364NOK
10% type I error level310.563636363636364NOK