Multiple Linear Regression - Estimated Regression Equation
Depressie[t] = + 6.83819967635574 -0.114673066891991Leeftijd[t] -0.0937460780704117Sportgerelateerde_groep[t] + 0.466815574575993Stress[t] + 0.260747924507668Veranderingen_verleden[t] + 0.297659363826662Alcoholgebruik[t] -0.357602662543149Depressie_mannen[t] + 0.369370037808583Depressie_oktober[t] + 0.00235586693461173t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)6.838199676355747.7342830.88410.378180.18909
Leeftijd-0.1146730668919910.411141-0.27890.7807340.390367
Sportgerelateerde_groep-0.09374607807041170.02383-3.93390.0001336.6e-05
Stress0.4668155745759930.1655562.81970.0055260.002763
Veranderingen_verleden0.2607479245076680.1382611.88590.061440.03072
Alcoholgebruik0.2976593638266620.1732451.71810.0880460.044023
Depressie_mannen-0.3576026625431490.537147-0.66570.5067020.253351
Depressie_oktober0.3693700378085830.8204220.45020.6532690.326634
t0.002355866934611730.009820.23990.8107720.405386


Multiple Linear Regression - Regression Statistics
Multiple R0.470096264194295
R-squared0.220990497609432
Adjusted R-squared0.175166409233517
F-TEST (value)4.82258361140864
F-TEST (DF numerator)8
F-TEST (DF denominator)136
p-value3.0413779014804e-05
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.88249480486812
Sum Squared Residuals1129.99357681247


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11213.2463450123254-1.24634501232539
21110.56721560307310.432784396926941
31413.75812399120460.241876008795425
41210.72335945650431.2766405434957
52113.58984988277237.41015011722766
61212.3287492051515-0.328749205151467
72215.31072880917176.6892711908283
81112.2934174095738-1.29341740957384
91011.461741770138-1.46174177013795
101311.72033970237411.27966029762592
111012.392906813106-2.39290681310595
12812.8630852715887-4.86308527158869
131512.38287268459982.61712731540019
141011.283786571159-1.28378657115899
151413.79482179686840.205178203131633
16149.896239435212674.10376056478732
171110.98729882547110.0127011745289203
181011.8975852288961-1.8975852288961
191313.6918741988727-0.691874198872739
20711.8530021663702-4.85300216637016
211215.2499648681858-3.24996486818585
221413.64661302013130.353386979868692
23119.947596696144751.05240330385525
24912.311968676329-3.31196867632898
251111.3842449576648-0.384244957664766
261513.29320699453341.70679300546661
271312.3611745472450.638825452754973
28910.3309392106994-1.33093921069943
291512.51393342562832.48606657437175
301011.4170322185764-1.41703221857637
31119.64228178226131.3577182177387
321311.81737718554981.18262281445015
33810.906592213036-2.90659221303604
342012.42733039187167.57266960812838
351210.92513403309061.07486596690939
361011.896068178984-1.89606817898397
371011.3135142359186-1.31351423591865
38912.6275862468659-3.62758624686587
391411.68165078949322.31834921050679
40814.7541373804657-6.75413738046565
411415.3468694367294-1.34686943672942
42119.97553887863191.0244611213681
431312.77720093898150.222799061018461
441110.70905744950990.290942550490051
451112.3264947521491-1.32649475214906
461011.6450064196831-1.64500641968308
471410.19794121631563.8020587836844
481814.24075906332083.75924093667916
491413.66924080795870.330759192041309
501115.4903942657721-4.49039426577205
511212.7600097933755-0.760009793375463
521312.58826691123660.411733088763421
53912.4784316373264-3.47843163732641
541011.8076262116177-1.80762621161773
551513.15330512125671.84669487874327
562014.88557732948995.11442267051015
571212.1672729992236-0.167272999223579
581213.1948022353324-1.19480223533235
591413.11056164815190.889438351848071
601313.6529888580294-0.652988858029378
611110.76289849582270.237101504177274
621714.45478899310322.54521100689677
631213.4703397530705-1.47033975307047
641315.0054256346264-2.00542563462636
651414.27068866753-0.270688667530026
661311.91561521783811.08438478216186
671515.4539639751776-0.453963975177584
681312.50826448425540.491735515744601
691011.7490207486865-1.74902074868649
701110.45591976252190.54408023747809
711314.0271846045951-1.0271846045951
721712.92890747594054.07109252405953
731313.4341451784999-0.434145178499948
74913.4369904458717-4.43699044587171
751111.2378304697267-0.237830469726695
761015.0009559936661-5.00095599366615
77912.570208357538-3.57020835753803
781212.3387617252187-0.338761725218668
791212.0003312219935-0.000331221993505235
801312.14704426134970.852955738650269
811312.3683435688850.631656431114986
822215.43046451147026.56953548852985
831313.2158094852649-0.215809485264872
841515.4801836268806-0.480183626880643
851311.31658703004711.68341296995286
861512.32448210899572.67551789100434
871014.0610488439968-4.06104884399675
881111.400068552919-0.400068552919048
891612.98672604894923.01327395105079
901111.6291838822481-0.629183882248089
911111.0473791268677-0.0473791268676598
921012.0399612331697-2.03996123316967
931012.5459946202631-2.5459946202631
941613.39178712183242.60821287816755
951212.6597654048493-0.659765404849253
961113.1421716061762-2.14217160617622
971613.4277087391962.57229126080403
981913.21620035947735.78379964052272
991112.4316266687934-1.43162666879344
1001513.5120730723571.48792692764305
1012417.972049695246.02795030476001
1021411.15396682010452.84603317989555
1031514.6243077440540.375692255945983
1041111.0401334375755-0.0401334375755472
1051515.9982709935626-0.99827099356259
1061213.5293946437637-1.52939464376369
1071010.2217790118711-0.221779011871085
1081414.707677883219-0.707677883218995
109913.6289649847128-4.62896498471277
1101511.33339492703643.66660507296362
1111512.88025874552082.11974125447916
1121411.15871044698712.84128955301294
1131111.8234596834956-0.82345968349563
114813.0445145653456-5.0445145653456
1151112.0558375341057-1.05583753410566
116810.0018131730916-2.00181317309158
1171012.4921710884259-2.49217108842594
1181113.1844651193203-2.18446511932031
1191314.548092788969-1.54809278896896
1201113.6912733437775-2.69127334377751
1212013.08245646371456.91754353628548
1221013.5649341504054-3.5649341504054
1231212.6348589368471-0.634858936847107
1241413.63998304747620.360016952523753
1252315.11374970871297.8862502912871
1261412.92184847390611.07815152609386
1271614.09318908593561.90681091406436
1281114.4631975637828-3.46319756378277
1291213.0440987807509-1.04409878075085
1301013.6525837163621-3.65258371636212
1311412.89285533015921.10714466984081
132129.293885667569192.70611433243082
1331212.5234513601797-0.523451360179669
1341111.1860224477108-0.186022447710815
1351213.1486680454118-1.14866804541178
1361313.6472982457722-0.647298245772176
1371713.15046117411583.84953882588421
138913.0528194607799-4.05281946077994
1391214.4667069745839-2.46670697458386
1401913.27814367801985.72185632198019
1411515.6144680421535-0.614468042153512
1421414.4204420064533-0.420442006453278
1431113.2433617926856-2.24336179268561
144911.8843791574773-2.88437915747732
1451813.42971211798464.57028788201542


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.9176494856458830.1647010287082350.0823505143541175
130.9273667161352940.1452665677294110.0726332838647056
140.8867322991088130.2265354017823750.113267700891187
150.8239761318763440.3520477362473120.176023868123656
160.951213531233540.09757293753291960.0487864687664598
170.93104236664370.1379152667126010.0689576333563005
180.9047772731743860.1904454536512280.0952227268256138
190.8680444630937560.2639110738124880.131955536906244
200.8881895382081060.2236209235837880.111810461791894
210.8778956807984450.2442086384031090.122104319201554
220.8839991555252340.2320016889495330.116000844474766
230.853564720121370.292870559757260.14643527987863
240.8249275456607670.3501449086784660.175072454339233
250.7744233106401170.4511533787197670.225576689359883
260.7846447937762880.4307104124474240.215355206223712
270.751259633122380.4974807337552410.248740366877621
280.7092215138508290.5815569722983420.290778486149171
290.6998375006491680.6003249987016640.300162499350832
300.6527331872533020.6945336254933960.347266812746698
310.665963746487590.668072507024820.33403625351241
320.6090494235297020.7819011529405970.390950576470298
330.5884844392944830.8230311214110350.411515560705517
340.8175280454094560.3649439091810890.182471954590544
350.78565077646920.4286984470616010.214349223530801
360.7478723151801650.504255369639670.252127684819835
370.7250864839873190.5498270320253630.274913516012681
380.7520295740875910.4959408518248170.247970425912409
390.746859174479810.5062816510403810.253140825520191
400.8800381440411630.2399237119176740.119961855958837
410.8558649141887650.288270171622470.144135085811235
420.8431048426164820.3137903147670370.156895157383518
430.808588483738950.38282303252210.19141151626105
440.7684259491394890.4631481017210230.231574050860511
450.7286063558066580.5427872883866840.271393644193342
460.6930153720630810.6139692558738370.306984627936919
470.7152850343014540.5694299313970910.284714965698546
480.7676262947773830.4647474104452340.232373705222617
490.726932422218930.5461351555621420.273067577781071
500.754713187888730.490573624222540.24528681211127
510.7223946960041170.5552106079917660.277605303995883
520.6795927183260160.6408145633479680.320407281673984
530.689285531012050.6214289379758990.31071446898795
540.6633065078446250.673386984310750.336693492155375
550.6536442285790050.692711542841990.346355771420995
560.7391752641812590.5216494716374830.260824735818741
570.6969444314665340.6061111370669330.303055568533466
580.661354808046990.677290383906020.33864519195301
590.6156978079656530.7686043840686940.384302192034347
600.5726869954869790.8546260090260420.427313004513021
610.5299719042036030.9400561915927940.470028095796397
620.5124936307191470.9750127385617070.487506369280853
630.485986937757390.971973875514780.51401306224261
640.454122726759070.908245453518140.54587727324093
650.4086645532877290.8173291065754580.591335446712271
660.3709563965157090.7419127930314170.629043603484291
670.3306410931249010.6612821862498020.669358906875099
680.2898772700430130.5797545400860260.710122729956987
690.2591844771566960.5183689543133910.740815522843304
700.2219918591466610.4439837182933210.77800814085334
710.1903784773805210.3807569547610430.809621522619479
720.2272126440676680.4544252881353360.772787355932332
730.1913507431790030.3827014863580060.808649256820997
740.2325424080634830.4650848161269660.767457591936517
750.1969337912329310.3938675824658630.803066208767068
760.2735247356766980.5470494713533960.726475264323302
770.2912418323652960.5824836647305910.708758167634704
780.2686930641893140.5373861283786290.731306935810686
790.232386502592270.464773005184540.76761349740773
800.2006882284466740.4013764568933480.799311771553326
810.1741827202526340.3483654405052680.825817279747366
820.3208312860157970.6416625720315950.679168713984203
830.2777258744044470.5554517488088930.722274125595553
840.241318512950140.482637025900280.75868148704986
850.2134715371706180.4269430743412360.786528462829382
860.2017631350457750.403526270091550.798236864954225
870.2368484417381930.4736968834763850.763151558261807
880.1997723574372380.3995447148744760.800227642562762
890.2009803568892550.401960713778510.799019643110745
900.16890370253080.33780740506160.8310962974692
910.1385230095908040.2770460191816080.861476990409196
920.1266007048867490.2532014097734970.873399295113251
930.1195654209769210.2391308419538430.880434579023079
940.1104772685578740.2209545371157480.889522731442126
950.08983629150044070.1796725830008810.91016370849956
960.08385124836558470.1677024967311690.916148751634415
970.07584430705566830.1516886141113370.924155692944332
980.1226574870070970.2453149740141950.877342512992903
990.1016665468284290.2033330936568580.89833345317157
1000.08292785542281840.1658557108456370.917072144577182
1010.1742964142448790.3485928284897570.825703585755121
1020.1713854747218330.3427709494436670.828614525278167
1030.1541239122181340.3082478244362670.845876087781866
1040.1252436293441860.2504872586883730.874756370655814
1050.0993270393482480.1986540786964960.900672960651752
1060.079136358216170.158272716432340.92086364178383
1070.05997414646995060.1199482929399010.94002585353005
1080.04529714955243280.09059429910486560.954702850447567
1090.05839550713773460.1167910142754690.941604492862265
1100.08534541239418150.1706908247883630.914654587605819
1110.07050347902570090.1410069580514020.9294965209743
1120.08172620451557170.1634524090311430.918273795484428
1130.06640781859954730.1328156371990950.933592181400453
1140.07622120798131150.1524424159626230.923778792018689
1150.05636372787220620.1127274557444120.943636272127794
1160.04489646106539670.08979292213079340.955103538934603
1170.03665792736315970.07331585472631940.96334207263684
1180.02616478207868830.05232956415737670.973835217921312
1190.01784226509463250.0356845301892650.982157734905368
1200.02004661016413330.04009322032826660.979953389835867
1210.05488202071324890.1097640414264980.945117979286751
1220.0649141528944040.1298283057888080.935085847105596
1230.0481659353671350.096331870734270.951834064632865
1240.03491308017681010.06982616035362020.96508691982319
1250.2263652546749160.4527305093498320.773634745325084
1260.4662665400361170.9325330800722350.533733459963883
1270.563814142523860.872371714952280.43618585747614
1280.4742549687072040.9485099374144080.525745031292796
1290.3893410558594140.7786821117188280.610658944140586
1300.3121985288023980.6243970576047950.687801471197602
1310.308823815777840.617647631555680.69117618422216
1320.2076717086672360.4153434173344720.792328291332764
1330.2217805885432620.4435611770865240.778219411456738


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level20.0163934426229508OK
10% type I error level90.0737704918032787OK