Multiple Linear Regression - Estimated Regression Equation
PS[t] = + 6.5867952337856 -0.878020762828454Roken[t] -1.3024665063434Geslacht[t] + 0.0879722811529304Leeftijd[t] + 0.401296015151827O[t] + 0.130024469727997CMD[t] + 0.169296265598382PEC[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)6.58679523378563.1407852.09720.0377130.018857
Roken-0.8780207628284540.58383-1.50390.1347830.067391
Geslacht-1.30246650634340.609028-2.13860.0341440.017072
Leeftijd0.08797228115293040.0857011.02650.3063620.153181
O0.4012960151518270.0799765.01772e-061e-06
CMD0.1300244697279970.0422593.07690.0025020.001251
PEC0.1692962655983820.0581052.91360.0041390.00207


Multiple Linear Regression - Regression Statistics
Multiple R0.534702007831309
R-squared0.285906237178833
Adjusted R-squared0.256357529751751
F-TEST (value)9.6757612116998
F-TEST (DF numerator)6
F-TEST (DF denominator)145
p-value5.97857463535689e-09
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.5800265148466
Sum Squared Residuals1858.40552781568


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11515.7877922709388-0.787792270938764
22321.655030126241.34496987376001
32624.01758626431841.98241373568164
41919.4622913577629-0.462291357762933
51919.490297355108-0.490297355107969
61621.5977515845095-5.59775158450947
72323.791812071016-0.791812071015971
82220.43766456279711.5623354372029
91921.625800774412-2.62580077441201
102420.30975916190393.69024083809615
111918.39798964302980.602010356970163
122523.23833764815421.76166235184575
132326.0262303065493-3.02623030654934
143124.56126632453396.43873367546606
152923.98562408902545.01437591097461
161819.4457413977479-1.44574139774791
171719.487793586323-2.48779358632298
182220.96845689538921.03154310461078
192122.695281055053-1.69528105505296
202423.26002050107090.73997949892912
212221.99282719546160.00717280453843304
221619.2212329687135-3.22123296871349
232222.4621038151767-0.462103815176689
242122.2286948490178-1.22869484901781
252521.58526054267113.41473945732894
262224.2415716931164-2.24157169311641
272420.86497897296193.13502102703813
282124.9883851600922-3.98838516009217
292522.60301108855942.39698891144063
302929.0028047616548-0.00280476165483319
311920.655661313678-1.65566131367803
322922.80899244309996.19100755690013
332521.11824644412823.88175355587184
341924.1004751106395-5.10047511063948
352720.93961695088216.06038304911788
362522.62475178406762.37524821593241
372323.2375899391693-0.237589939169288
382423.22019012155920.779809878440759
392322.15085062165320.849149378346839
402521.51181009824613.48818990175386
412622.71230132476413.2876986752359
422320.81622409205952.18377590794052
432221.14006261556490.859937384435056
443223.32093006847038.67906993152973
452223.7164284198788-1.7164284198788
461824.5447171398881-6.54471713988807
471919.327324233938-0.327324233937992
482320.46671128497312.53328871502695
492420.50598308084343.49401691915657
501922.2746546871814-3.27465468718143
511621.2295069610283-5.2295069610283
522323.2041563279971-0.204156327997115
531720.1408329462216-3.14083294622163
541723.024638582614-6.02463858261398
552822.04029234782975.95970765217031
562421.49115880286612.50884119713385
572119.18379828195631.81620171804371
581419.8254930673672-5.8254930673672
592122.1305199181195-1.13051991811953
602023.3928832060952-3.39288320609515
612523.53351385555811.46648614444186
622021.758940103356-1.75894010335598
631722.6317269381337-5.63172693813372
642627.3214874520953-1.32148745209528
651720.5164901142594-3.51649011425943
661720.8737980699247-3.87379806992467
672422.62017747480721.37982252519276
683025.37101310551394.62898689448607
692522.40382852394532.59617147605475
701521.790197578471-6.79019757847097
712522.96758226918332.03241773081669
721825.5699234228905-7.56992342289053
732023.0677204398956-3.06772043989557
743227.69317456752024.30682543247979
751415.0959826315886-1.09598263158855
762020.3422511945641-0.342251194564103
772523.54911975661251.45088024338749
782524.71057339399140.289426606008589
792522.50736428896422.49263571103581
803522.146132860055312.8538671399447
812924.1655742873494.83442571265101
822525.8814100477762-0.881410047776233
832122.6201774748072-1.62017747480724
842121.2736331370505-0.273633137050487
852425.6690172748622-1.66901727486218
862622.0667964779423.93320352205802
872424.1987267141688-0.198726714168755
882024.9549707593868-4.95497075938679
892424.2490706227881-0.249070622788071
901819.1104003443211-1.1104003443211
911719.1417029008237-2.14170290082371
922222.8699470918869-0.869947091886888
932224.1574241234088-2.15742412340876
942220.90218022835691.09781977164312
952425.4701691767594-1.47016917675935
963224.05747963847297.94252036152708
971920.5529383248676-1.55293832486762
982121.4789497207493-0.478949720749304
992323.7549074253766-0.754907425376594
1002621.35542743119214.64457256880795
1011823.0795016295047-5.07950162950466
1021919.5797669430609-0.579766943060935
1032224.5765478486784-2.57654784867839
1042720.57438241062026.4256175893798
1052120.95493885644690.0450611435531078
1062021.4534421563874-1.45344215638739
1072124.1106031644278-3.11060316442777
1082024.776673696884-4.776673696884
1092922.18177363025696.81822636974314
1103023.68504025363036.31495974636969
1112323.1565001614552-0.15650016145517
1122919.77250954677819.22749045322193
1131922.6820303257981-3.68203032579812
1142624.72339890234111.2766010976589
1152221.33351303574340.666486964256646
1162626.2698303211394-0.269830321139417
1172725.20738303715621.79261696284381
1181922.5497362940165-3.54973629401647
1192423.34167895202760.658321047972382
1202621.12913458358474.8708654164153
1212219.73022315147172.26977684852833
1222324.7830704652235-1.78307046522347
1232522.87980367380682.1201963261932
1241923.6649475418916-4.66494754189157
1252022.4456472811581-2.44564728115814
1262523.69012806514431.3098719348557
1271419.122372548104-5.12237254810401
1282018.75601278672631.24398721327374
1292725.53804952154271.46195047845731
1302122.9821585015312-1.98215850153116
1312121.2947998235142-0.294799823514223
1321419.3077908812097-5.30779088120966
1332124.5187816830184-3.51878168301841
1342321.9161207128341.08387928716601
1351820.8043062838964-2.80430628389641
1362021.7989217514557-1.79892175145568
1371922.2076156611301-3.20761566113006
1381520.456567023009-5.45656702300905
1392321.73824906239021.26175093760978
1402625.61390537120610.386094628793907
1412123.3127367119725-2.31273671197253
1421316.1424490270512-3.14244902705121
1432421.04149676894312.95850323105694
1441718.2144582077956-1.21445820779565
1452124.4858383673783-3.48583836737829
1462825.97017511930182.02982488069825
1472222.0836230618767-0.0836230618766936
1482519.44286074526335.55713925473672
1491820.8929452247211-2.89294522472114
1502724.78991244770742.21008755229263
1512523.64293022246371.35706977753635
1522121.9006150715596-0.900615071559567


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.4323565507207640.8647131014415270.567643449279236
110.400250264633140.800500529266280.59974973536686
120.272652823880510.545305647761020.72734717611949
130.1860516696718250.372103339343650.813948330328175
140.5421684247527010.9156631504945980.457831575247299
150.505331261216780.989337477566440.49466873878322
160.4953708150007220.9907416300014440.504629184999278
170.4454401513969050.890880302793810.554559848603095
180.3887336635859130.7774673271718250.611266336414087
190.3068823659235370.6137647318470750.693117634076463
200.233868234600550.4677364692010990.76613176539945
210.1760810902534130.3521621805068260.823918909746587
220.1566928661617070.3133857323234140.843307133838293
230.1124475462748930.2248950925497850.887552453725107
240.08285616447364780.1657123289472960.917143835526352
250.08928396247219710.1785679249443940.910716037527803
260.07731657059747680.1546331411949540.922683429402523
270.0660563187031210.1321126374062420.933943681296879
280.1119145193760950.2238290387521910.888085480623905
290.08968284369514550.1793656873902910.910317156304854
300.06684737187662570.1336947437532510.933152628123374
310.05509486085402670.1101897217080530.944905139145973
320.08390518373895580.1678103674779120.916094816261044
330.07498048271549790.1499609654309960.925019517284502
340.1241222047307370.2482444094614750.875877795269263
350.1177833989011760.2355667978023520.882216601098824
360.1013346701878860.2026693403757710.898665329812114
370.07840698293381580.1568139658676320.921593017066184
380.06173462987179050.1234692597435810.93826537012821
390.04706020242372690.09412040484745380.952939797576273
400.04742624894546950.0948524978909390.95257375105453
410.04911300730793320.09822601461586650.950886992692067
420.04812785021748370.09625570043496750.951872149782516
430.05414567924604460.1082913584920890.945854320753955
440.1480827548625380.2961655097250770.851917245137461
450.131225732466770.262451464933540.86877426753323
460.201948238120140.4038964762402790.79805176187986
470.1682627673683260.3365255347366520.831737232631674
480.1491781130321680.2983562260643370.850821886967831
490.141313002411360.282626004822720.85868699758864
500.1373479833319850.274695966663970.862652016668015
510.1578296258823560.3156592517647120.842170374117644
520.1308173531703460.2616347063406920.869182646829654
530.1231722176730590.2463444353461180.876827782326941
540.1627581528744640.3255163057489280.837241847125536
550.192887083778650.3857741675572990.80711291622135
560.1708634812018040.3417269624036080.829136518798196
570.1657682556040880.3315365112081750.834231744395912
580.2007836975016690.4015673950033390.799216302498331
590.1743151530089650.348630306017930.825684846991035
600.1788118011856420.3576236023712840.821188198814358
610.1608688352170060.3217376704340120.839131164782994
620.1578267469268030.3156534938536050.842173253073197
630.2024232794046880.4048465588093770.797576720595312
640.1748649833979510.3497299667959020.825135016602049
650.180452819334590.360905638669180.81954718066541
660.2761426972744430.5522853945488860.723857302725557
670.2439221121311260.4878442242622510.756077887868874
680.2878023154194130.5756046308388260.712197684580587
690.2702878427012270.5405756854024530.729712157298773
700.3709894490344870.7419788980689740.629010550965513
710.3450293999208850.690058799841770.654970600079115
720.4833918815142330.9667837630284660.516608118485767
730.467807965876080.935615931752160.53219203412392
740.5129185014915880.9741629970168240.487081498508412
750.47368575216190.94737150432380.5263142478381
760.4292641211075020.8585282422150030.570735878892498
770.3935146713426520.7870293426853030.606485328657348
780.3671814061710890.7343628123421780.632818593828911
790.3498679225909380.6997358451818760.650132077409062
800.8627714859834760.2744570280330490.137228514016524
810.9000511603137470.1998976793725070.0999488396862534
820.8778910577076690.2442178845846620.122108942292331
830.8560359543443680.2879280913112640.143964045655632
840.828329695345460.3433406093090790.171670304654539
850.8009905493612060.3980189012775880.199009450638794
860.805865019484170.3882699610316620.194134980515831
870.7723659940154750.455268011969050.227634005984525
880.794084430544320.4118311389113610.20591556945568
890.7575092467994240.4849815064011520.242490753200576
900.7250034133025630.5499931733948740.274996586697437
910.7070116687404760.5859766625190490.292988331259524
920.6692851296410170.6614297407179660.330714870358983
930.6419511386310420.7160977227379160.358048861368958
940.597663867805290.804672264389420.40233613219471
950.5552333309040360.8895333381919280.444766669095964
960.730350851259370.539298297481260.26964914874063
970.6950452143927680.6099095712144650.304954785607232
980.6494063295885020.7011873408229950.350593670411498
990.6015571199861640.7968857600276720.398442880013836
1000.6487829223141350.702434155371730.351217077685865
1010.6649124288392760.6701751423214480.335087571160724
1020.6170878915629880.7658242168740230.382912108437012
1030.6100945816441880.7798108367116230.389905418355812
1040.7384213647905220.5231572704189560.261578635209478
1050.6943051386286390.6113897227427220.305694861371361
1060.6573931100257260.6852137799485470.342606889974274
1070.6238059697383120.7523880605233760.376194030261688
1080.7037021356550180.5925957286899630.296297864344982
1090.8488919042986430.3022161914027130.151108095701357
1100.889299595453510.2214008090929790.11070040454649
1110.8631703077448060.2736593845103890.136829692255194
1120.9660440691899130.06791186162017310.0339559308100866
1130.966638648618350.06672270276329840.0333613513816492
1140.9543765757176850.09124684856463050.0456234242823153
1150.9377822393025360.1244355213949270.0622177606974636
1160.9170608964926140.1658782070147710.0829391035073855
1170.8987490472894240.2025019054211510.101250952710576
1180.8843564477227520.2312871045544950.115643552277248
1190.857526863494670.2849462730106610.142473136505331
1200.9181293421640770.1637413156718460.0818706578359229
1210.9173706281173560.1652587437652880.082629371882644
1220.8951516732066790.2096966535866420.104848326793321
1230.8737237568957880.2525524862084230.126276243104212
1240.8824294605463230.2351410789073540.117570539453677
1250.8607572395955260.2784855208089490.139242760404475
1260.8392485743050460.3215028513899080.160751425694954
1270.852849104183870.2943017916322590.147150895816129
1280.8413275843671740.3173448312656510.158672415632826
1290.7949393280510830.4101213438978340.205060671948917
1300.7360956605111030.5278086789777930.263904339488897
1310.6830115164132360.6339769671735280.316988483586764
1320.7256306148505580.5487387702988840.274369385149442
1330.7852748238978460.4294503522043080.214725176102154
1340.7198058999890740.5603882000218530.280194100010926
1350.763936047235970.4721279055280610.236063952764031
1360.6816872687793930.6366254624412140.318312731220607
1370.6262777742248250.747444451550350.373722225775175
1380.7787404380346080.4425191239307840.221259561965392
1390.7939583629327020.4120832741345950.206041637067298
1400.6802550160950740.6394899678098530.319744983904926
1410.5390455944298510.9219088111402970.460954405570149
1420.9541252719430620.09174945611387520.0458747280569376


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 level80.0601503759398496OK