Multiple Linear Regression - Estimated Regression Equation
gender[t] = + 0.70174011232469 + 0.386108714128475diet[t] -0.020748127759265gewicht[t] -0.104801665118860`bier/wijn`[t] + 0.210110400648029andere[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.701740112324690.2997552.3410.0205030.010252
diet0.3861087141284750.0570886.763300
gewicht-0.0207481277592650.06057-0.34250.7324020.366201
`bier/wijn`-0.1048016651188600.065979-1.58840.1142330.057117
andere0.2101104006480290.103512.02990.0440820.022041


Multiple Linear Regression - Regression Statistics
Multiple R0.500475175165715
R-squared0.250475400957153
Adjusted R-squared0.231132830659273
F-TEST (value)12.9494372826246
F-TEST (DF numerator)4
F-TEST (DF denominator)155
p-value4.0344911855783e-09
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.761263121255809
Sum Squared Residuals89.8258386665411


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
111.23622191423371-0.236221914233707
211.48833564081058-0.488335640810575
311.46758751305131-0.467587513051311
421.602089571013230.397910428986773
521.172916504633380.827083495366623
621.601582500602920.398417499397081
721.341530649762880.658469350237123
811.27822524016255-0.278225240162547
911.27771816975224-0.277718169752238
1021.90363767737180.0963623226282013
1122.46574470498072-0.46574470498072
1231.693527276723771.30647272327623
1310.9005617207075530.0994382792924467
1411.51702189283301-0.517021892833015
1511.64307875612145-0.643078756121448
1622.63435885011022-0.63435885011022
1711.43296835547342-0.432968355473419
1851.727132293481043.27286770651896
1911.30741856259529-0.307418562595294
2011.62233062836218-0.622330628362183
2111.69352727672377-0.693527276723769
2221.778087884493670.221912115506327
2321.90363767737180.0963623226282013
2411.06760776910421-0.0676077691042088
2511.23622191423371-0.236221914233708
2622.20518578373037-0.205185783730370
2710.9005617207075530.0994382792924467
2811.67277914896450-0.672779148964504
2931.706384165721781.29361583427822
3011.27771816975224-0.277718169752238
3111.51752896324332-0.517528963243323
3211.17240943422307-0.172409434223069
3311.70638416572178-0.706384165721779
3411.04685964134494-0.0468596413449438
3511.13091317870454-0.130913178704539
3611.23622191423371-0.236221914233708
3711.04685964134494-0.0468596413449438
3811.88288954961253-0.882889549612534
3951.944626862480023.05537313751998
4011.15216837687411-0.152168376874113
4121.693527276723770.306472723276231
4211.13142024911485-0.131420249114848
4311.26592230707676-0.265922307076764
4411.69352727672377-0.693527276723769
4521.391979170365200.608020829634802
4610.9213098484668180.0786901515331817
4710.9005617207075530.0994382792924467
4811.15166130646380-0.151661306463804
4911.23622191423371-0.236221914233708
5011.04685964134494-0.0468596413449438
5111.9036376773718-0.903637677371799
5221.747880421240310.252119578759691
5311.30741856259529-0.307418562595294
5411.39147209995489-0.391472099954889
5532.330735576608500.669264423391504
5612.15473726312805-1.15473726312805
5721.944626862480020.0553731375199797
5821.778087884493670.221912115506327
5911.15216837687411-0.152168376874113
6011.92387873472076-0.923878734720755
6110.8165081833479580.183491816652042
6210.8803206633585970.119679336641403
6310.9213098484668180.0786901515331817
6411.23622191423371-0.236221914233708
6522.11324100760952-0.113241007609520
6621.693527276723770.306472723276231
6710.9213098484668180.0786901515331817
6810.9005617207075530.0994382792924467
6911.49627376507375-0.49627376507375
7011.49678083548406-0.496780835484058
7111.02611151358568-0.0261115135856788
7232.373799928859870.62620007114013
7311.94462686248002-0.94462686248002
7411.30741856259529-0.307418562595294
7511.13091317870454-0.130913178704539
7611.23622191423371-0.236221914233708
7721.966943086972130.0330569130278709
7811.39147209995489-0.391472099954889
7910.9213098484668180.0786901515331817
8031.547229356086381.45277064391362
8141.567977483845642.43202251615436
8211.11016505094527-0.110165050945274
8311.39147209995489-0.391472099954889
8411.11067212135558-0.110672121355583
8521.412220227714150.587779772285846
8611.30741856259529-0.307418562595294
8721.286670434836030.713329565163971
8811.13142024911485-0.131420249114848
8921.453716483232680.546283516767316
9011.00536338582641-0.00536338582641377
9111.11067212135558-0.110672121355583
9212.11324100760952-1.11324100760952
9311.51752896324332-0.517528963243323
9421.819077069601890.180922930398105
9511.77758081408336-0.777580814083365
9642.436044312137661.56395568786234
9710.9213098484668180.0786901515331817
9812.03813973533371-1.03813973533371
9911.00536338582641-0.00536338582641377
10041.320275451593302.67972454840670
10111.69352727672377-0.693527276723769
10211.88238247920223-0.882382479202225
10311.56797748384564-0.567977483845644
10442.373799928859871.62620007114013
10511.51752896324332-0.517528963243323
10610.9213098484668180.0786901515331817
10721.412220227714150.587779772285846
10810.7750119278294280.224988072170572
10921.286670434836030.713329565163971
11031.90363767737181.09636232262820
11142.716844290736971.28315570926303
11211.39197917036520-0.391979170365198
11310.9213098484668180.0786901515331817
11411.25697004199297-0.256970041992973
11511.18186876971717-0.181868769717168
11621.777580814083360.222419185916635
11710.8798135929482880.120186407051712
11811.77758081408336-0.777580814083365
11910.7957600555886930.204239944411307
12011.02611151358568-0.0261115135856788
12111.11016505094527-0.110165050945274
12210.9005617207075530.0994382792924467
12311.67277914896450-0.672779148964504
12441.861634351442962.13836564855704
12511.13142024911485-0.131420249114848
12611.56797748384564-0.567977483845644
12721.391979170365200.608020829634802
12831.90363767737181.09636232262820
12911.51752896324332-0.517528963243323
13011.49678083548406-0.496780835484058
13132.655106977869480.344893022130515
13222.05888786309298-0.0588878630929797
13310.8798135929482880.120186407051712
13411.11016505094527-0.110165050945274
13511.98769121473139-0.987691214731394
13611.83982519736116-0.83982519736116
13711.18186876971717-0.181868769717168
13811.00536338582641-0.00536338582641377
13911.00587045623672-0.00587045623672217
14012.05888786309298-1.05888786309298
14111.77758081408336-0.777580814083365
14231.882889549612531.11711045038747
14312.11324100760952-1.11324100760952
14421.693527276723770.306472723276231
14511.56797748384564-0.567977483845644
14611.39147209995489-0.391472099954889
14711.29952732383404-0.299527323834039
14821.768628548999570.231371451000426
14911.32027545159330-0.320275451593304
15011.30741856259529-0.307418562595294
15110.7957600555886930.204239944411307
15212.2684911933307-1.2684911933307
15310.9005617207075530.0994382792924467
15410.9213098484668180.0786901515331817
15511.11067212135558-0.110672121355583
15611.9036376773718-0.903637677371799
15731.181868769717171.81813123028283
15811.00536338582641-0.00536338582641377
15911.00536338582641-0.00536338582641377
16011.56797748384564-0.567977483845644


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.3728504723277640.7457009446555270.627149527672236
90.2303894979570800.4607789959141590.76961050204292
100.1267775411036820.2535550822073640.873222458896318
110.07497694290100320.1499538858020060.925023057098997
120.06605459477309240.1321091895461850.933945405226908
130.2409500423582020.4819000847164050.759049957641798
140.2104911092946060.4209822185892130.789508890705394
150.1613153106457820.3226306212915650.838684689354218
160.1252213778310620.2504427556621250.874778622168938
170.1007812831275130.2015625662550260.899218716872487
180.971908628028970.05618274394206040.0280913719710302
190.9590610911032840.0818778177934330.0409389088967165
200.9622808100970080.07543837980598470.0377191899029923
210.9521448314400030.09571033711999390.0478551685599969
220.9373840722649180.1252318554701640.0626159277350821
230.9141533316869280.1716933366261440.0858466683130722
240.8844609020931250.2310781958137510.115539097906875
250.867385276907540.2652294461849180.132614723092459
260.8296769775981880.3406460448036240.170323022401812
270.7856804168546810.4286391662906380.214319583145319
280.7655051588820.4689896822360010.234494841118000
290.7634280891194560.4731438217610880.236571910880544
300.7225996965072830.5548006069854340.277400303492717
310.6921304465282550.615739106943490.307869553471745
320.6447134357353890.7105731285292230.355286564264611
330.7230826708494320.5538346583011370.276917329150568
340.6720821448283310.6558357103433380.327917855171669
350.6297031981262380.7405936037475240.370296801873762
360.5879396408972330.8241207182055350.412060359102767
370.5319260225833080.9361479548333850.468073977416692
380.545881626423780.908236747152440.45411837357622
390.9625100157414640.0749799685170720.037489984258536
400.9504553618565410.0990892762869180.049544638143459
410.9399423467563260.1201153064873490.0600576532436744
420.923024990968730.1539500180625390.0769750090312697
430.903583690749180.1928326185016400.0964163092508202
440.8939068578339830.2121862843320330.106093142166017
450.9018787135119650.1962425729760690.0981212864880347
460.8809896670608210.2380206658783580.119010332939179
470.8575800594060340.2848398811879330.142419940593966
480.834921869359920.3301562612801590.165078130640079
490.8072179924280340.3855640151439320.192782007571966
500.7713294389770940.4573411220458120.228670561022906
510.7848032076079450.4303935847841090.215196792392055
520.75067697767440.4986460446512010.249323022325600
530.7131854753398790.5736290493202420.286814524660121
540.6812133535455540.6375732929088930.318786646454446
550.6575525566688530.6848948866622940.342447443331147
560.7498192756700880.5003614486598230.250180724329912
570.7120313350959690.5759373298080620.287968664904031
580.6801354629237820.6397290741524350.319864537076218
590.6374165404068550.725166919186290.362583459593145
600.6657058293016730.6685883413966530.334294170698327
610.6296792066437150.740641586712570.370320793356285
620.5907648763634190.8184702472731620.409235123636581
630.5449295056356750.910140988728650.455070494364325
640.5039124356593410.9921751286813190.496087564340659
650.4590921651391510.9181843302783030.540907834860849
660.4223601308803530.8447202617607050.577639869119647
670.3774662330701490.7549324661402980.622533766929851
680.3343956570088370.6687913140176730.665604342991163
690.3118439582230430.6236879164460870.688156041776957
700.2885560234405750.577112046881150.711443976559425
710.2499537752599340.4999075505198670.750046224740066
720.2371124548025850.474224909605170.762887545197415
730.2561225950625610.5122451901251210.74387740493744
740.2248985311662150.4497970623324290.775101468833785
750.1928811595096180.3857623190192370.807118840490382
760.1661932841268710.3323865682537410.83380671587313
770.1387891134525250.277578226905050.861210886547475
780.1200788923782770.2401577847565550.879921107621723
790.09884024296627510.1976804859325500.901159757033725
800.1668328698885870.3336657397771730.833167130111413
810.5282720029207760.9434559941584490.471727997079224
820.4831150278261950.966230055652390.516884972173805
830.4492008182979140.8984016365958280.550799181702086
840.405669608448190.811339216896380.59433039155181
850.3851230970908020.7702461941816030.614876902909198
860.3494689930671820.6989379861343650.650531006932818
870.3434705772226250.686941154445250.656529422777375
880.3054390273625280.6108780547250560.694560972637472
890.2818972681108330.5637945362216660.718102731889167
900.2439020513545660.4878041027091320.756097948645434
910.2107740105843600.4215480211687190.78922598941564
920.2571269866816730.5142539733633460.742873013318327
930.2440679660903900.4881359321807810.75593203390961
940.2103708220095350.4207416440190710.789629177990465
950.2083482373093560.4166964746187130.791651762690644
960.3120443088327480.6240886176654960.687955691167252
970.2719404247882630.5438808495765250.728059575211737
980.3003760992324910.6007521984649810.69962390076751
990.2604141063199350.5208282126398690.739585893680065
1000.7368223288482880.5263553423034240.263177671151712
1010.7273353240432660.5453293519134670.272664675956734
1020.7374788847241560.5250422305516870.262521115275844
1030.7206622381725760.5586755236548480.279337761827424
1040.8516675984668350.296664803066330.148332401533165
1050.8343517771814220.3312964456371570.165648222818578
1060.8015138004815170.3969723990369650.198486199518483
1070.7888134303187960.4223731393624070.211186569681204
1080.7531315745770660.4937368508458680.246868425422934
1090.7495975414913480.5008049170173040.250402458508652
1100.8000106360252060.3999787279495890.199989363974795
1110.9112657451221220.1774685097557560.0887342548778778
1120.8977578118116660.2044843763766690.102242188188334
1130.8731579016588070.2536841966823850.126842098341193
1140.8443220209263870.3113559581472250.155677979073613
1150.813391217854840.3732175642903210.186608782145161
1160.7878851364659840.4242297270680320.212114863534016
1170.7471864926057580.5056270147884850.252813507394242
1180.733428426912940.5331431461741210.266571573087060
1190.6877075282327020.6245849435345960.312292471767298
1200.6385890229977260.7228219540045490.361410977002274
1210.5855383881461570.8289232237076850.414461611853843
1220.5305441845375980.9389116309248040.469455815462402
1230.5079216550196150.984156689960770.492078344980385
1240.9418691187382340.1162617625235320.0581308812617658
1250.9273306767510710.1453386464978580.072669323248929
1260.9195036254974420.1609927490051170.0804963745025584
1270.9005629975998890.1988740048002220.099437002400111
1280.9476354069249990.1047291861500030.0523645930750014
1290.938858685525240.1222826289495210.0611413144747605
1300.9299500384407040.1400999231185930.0700499615592965
1310.94990138057770.1001972388445980.0500986194222991
1320.9458709177584320.1082581644831360.0541290822415681
1330.9238999502280050.1522000995439910.0761000497719954
1340.8978903396632060.2042193206735880.102109660336794
1350.882541250271420.2349174994571590.117458749728580
1360.8645656596465320.2708686807069350.135434340353468
1370.8289028266998280.3421943466003450.171097173300172
1380.776554295935830.4468914081283390.223445704064170
1390.7554680231242350.489063953751530.244531976875765
1400.7238347088741790.5523305822516420.276165291125821
1410.662117467656620.675765064686760.33788253234338
1420.8796318950889030.2407362098221940.120368104911097
1430.843054788816850.3138904223662990.156945211183150
1440.8259933404297010.3480133191405980.174006659570299
1450.770202021117790.4595959577644190.229797978882209
1460.6877304934679280.6245390130641430.312269506532072
1470.6015244829443910.7969510341112180.398475517055609
1480.6642297776147810.6715404447704380.335770222385219
1490.5752388591399750.849522281720050.424761140860025
1500.4462842977491420.8925685954982830.553715702250858
1510.3909636094825030.7819272189650070.609036390517497
1520.2881736134390500.5763472268780990.71182638656095


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 level60.0413793103448276OK