Multiple Linear Regression - Estimated Regression Equation
Geslacht[t] = + 0.251520009656094 -1.76024934139575e-07Time_in_RFC[t] -0.000189922670195479Logins[t] + 0.000269996695085935Blogged_computations[t] + 0.00864114427771298Reviewed_compendiums[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.2515200096560940.1039662.41930.0166810.00834
Time_in_RFC-1.76024934139575e-071e-06-0.21850.8273510.413675
Logins-0.0001899226701954790.001267-0.14990.8810480.440524
Blogged_computations0.0002699966950859350.0016310.16550.8687560.434378
Reviewed_compendiums0.008641144277712980.004891.76730.0791040.039552


Multiple Linear Regression - Regression Statistics
Multiple R0.205187821213266
R-squared0.0421020419742471
Adjusted R-squared0.0180039801371213
F-TEST (value)1.74711320183369
F-TEST (DF numerator)4
F-TEST (DF denominator)159
p-value0.142259420960258
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.496996110478281
Sum Squared Residuals39.2738162790559


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
100.513081644911443-0.513081644911443
200.491401688468425-0.491401688468425
300.582556398595651-0.582556398595651
410.5231098078181370.476890192181863
510.4487782271850120.551221772814988
600.504933995655962-0.504933995655962
700.441387648084366-0.441387648084366
800.397880509151944-0.397880509151944
900.48601299399131-0.48601299399131
1000.482829591632269-0.482829591632269
1110.5701600455713930.429839954428607
1210.6566627730450250.343337226954975
1300.512460677951127-0.512460677951127
1410.6112654198782480.388734580121752
1510.5489205858208470.451079414179153
1610.6542078779381140.345792122061886
1700.500171340135307-0.500171340135307
1810.5061158831040210.493884116895979
1910.4556373245719240.544362675428076
2010.5937320685187290.406267931481271
2100.571456639390109-0.571456639390109
2200.491303072014013-0.491303072014013
2300.44703613737636-0.44703613737636
2400.637432818441284-0.637432818441284
2500.568205920287184-0.568205920287184
2600.521871805118489-0.521871805118489
2710.537835220221390.46216477977861
2810.5283507462824410.471649253717559
2910.4733857825059170.526614217494083
3000.545788283712408-0.545788283712408
3100.571983086241432-0.571983086241432
3200.582611803046241-0.582611803046241
3300.599472704231656-0.599472704231656
3410.5252706557542360.474729344245764
3500.535097996678143-0.535097996678143
3610.5388534444960470.461146555503953
3700.546216014910714-0.546216014910714
3810.5000364750119560.499963524988044
3900.381256443266403-0.381256443266403
4000.532608780901691-0.532608780901691
4100.501947652807837-0.501947652807837
4210.5330006340857660.466999365914234
4310.502731302628190.49726869737181
4410.5355614729394950.464438527060505
4500.615307339249674-0.615307339249674
4610.5074765340016750.492523465998325
4710.4597421778199420.540257822180058
4810.61898474816520.381015251834801
4910.5940941141630870.405905885836913
5010.5837822244222170.416217775577783
5110.5136049963764560.486395003623544
5200.279428725135974-0.279428725135974
5300.511779308879962-0.511779308879962
5400.398055126416247-0.398055126416247
5500.350645286737435-0.350645286737435
5610.5314694163379360.468530583662064
5700.643486542477629-0.643486542477629
5810.4765908920778710.523409107922129
5910.5346408585613980.465359141438602
6010.496409271431450.50359072856855
6100.576289598427298-0.576289598427298
6200.431489114263956-0.431489114263956
6310.5779123390225510.422087660977449
6410.5334480370610210.466551962938979
6500.500312660084951-0.500312660084951
6610.4703946580235580.529605341976442
6700.486589196189009-0.486589196189009
6810.5569287948804130.443071205119587
6900.511271410582657-0.511271410582657
7010.4664293391228490.533570660877151
7110.5884247674878070.411575232512193
7210.4371792795842160.562820720415784
7300.581574277121113-0.581574277121113
7410.5591884449897140.440811555010286
7500.537797394749654-0.537797394749654
7600.55343367074102-0.55343367074102
7710.4927231860699720.507276813930028
7800.537304643417598-0.537304643417598
7900.537120185630562-0.537120185630562
8000.516105055843162-0.516105055843162
8100.452068015373722-0.452068015373722
8210.5885005305560560.411499469443944
8300.446071847480673-0.446071847480673
8400.56812644809823-0.56812644809823
8510.3148811886887210.685118811311279
8600.459899512217264-0.459899512217264
8710.5130281361009810.486971863899019
8810.4965097815822550.503490218417745
8910.6433396226575950.356660377342405
9010.6002146100679670.399785389932033
9110.5348222608695940.465177739130406
9200.567303401885986-0.567303401885986
9300.465073822686718-0.465073822686718
9400.536988531324245-0.536988531324245
9510.4843535491483630.515646450851637
9610.5110305608331320.488969439166868
9700.516132894424665-0.516132894424665
9810.5347085927905630.465291407209437
9910.7048765920159440.295123407984056
10010.4411125911052980.558887408894702
10100.605708201512696-0.605708201512696
10210.5506903242659240.449309675734076
10300.485433765358088-0.485433765358088
10410.4089331992619210.591066800738079
10500.422420909299198-0.422420909299198
10600.520926722983789-0.520926722983789
10700.545676612435491-0.545676612435491
10800.542198329009542-0.542198329009542
10900.428443382414285-0.428443382414285
11010.5841997053410450.415800294658955
11110.5548455681594470.445154431840553
11200.588849325633198-0.588849325633198
11300.257153727883509-0.257153727883509
11410.551099876493130.44890012350687
11500.337146079591955-0.337146079591955
11610.5859047549557910.414095245044209
11710.4985218988676670.501478101132333
11800.245855204749935-0.245855204749935
11910.4558256651575480.544174334842452
12010.316370926374570.68362907362543
12110.511046901636220.48895309836378
12200.602200739041479-0.602200739041479
12300.567188403665258-0.567188403665258
12410.4726864868733730.527313513126627
12500.311785123379317-0.311785123379317
12600.543201633255717-0.543201633255717
12710.6197474248241810.380252575175819
12810.6361168579381270.363883142061873
12910.5983507666276930.401649233372307
13010.6380329133151580.361967086684842
13110.6266065351440580.373393464855942
13210.5355342742342130.464465725765787
13310.516115784970650.48388421502935
13410.4836680458557030.516331954144297
13510.5440602962498180.455939703750182
13610.5384404428092380.461559557190762
13710.5612167685340290.438783231465971
13810.5204445470956060.479555452904394
13910.5835585156506230.416441484349377
14000.535583134399484-0.535583134399484
14100.482082649268227-0.482082649268227
14200.482002519384565-0.482002519384565
14310.5322676749658840.467732325034116
14400.401590695675252-0.401590695675252
14500.583355319725839-0.583355319725839
14610.6803565590377250.319643440962276
14700.510282608934643-0.510282608934643
14800.5703802886357-0.5703802886357
14900.25151983363116-0.25151983363116
15000.248115315501841-0.248115315501841
15100.251312836542353-0.251312836542353
15200.25106007297067-0.25106007297067
15310.2515200096560940.748479990343906
15400.251520009656094-0.251520009656094
15510.503093864248940.49690613575106
15600.606985623923159-0.606985623923159
15700.251520009656094-0.251520009656094
15800.250724585913682-0.250724585913682
15900.251193169669847-0.251193169669847
16010.2859539145548280.714046085445172
16110.2561228310634830.743877168936517
16200.563739788912629-0.563739788912629
16310.2509695961545220.749030403845478
16410.463462947234240.53653705276576


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.5464956551617460.9070086896765080.453504344838254
90.4168326629364250.833665325872850.583167337063575
100.3062774028166820.6125548056333640.693722597183318
110.3767012862762760.7534025725525510.623298713723724
120.2680331653387260.5360663306774520.731966834661274
130.2411646740565780.4823293481131560.758835325943422
140.3819711516953480.7639423033906960.618028848304652
150.3968483489495640.7936966978991280.603151651050436
160.3801994756482440.7603989512964870.619800524351756
170.3330564937932890.6661129875865780.666943506206711
180.2780566857861240.5561133715722470.721943314213876
190.3340443859462510.6680887718925020.665955614053749
200.2773613212008410.5547226424016820.722638678799159
210.2971583821631630.5943167643263260.702841617836837
220.241887551308220.4837751026164390.75811244869178
230.1932612919999810.3865225839999620.806738708000019
240.2111470513196220.4222941026392450.788852948680378
250.3831194308188410.7662388616376810.61688056918116
260.4323000735608890.8646001471217780.567699926439111
270.398415777297060.796831554594120.60158422270294
280.407861795023210.815723590046420.59213820497679
290.477174554170060.954349108340120.52282544582994
300.4485755871386990.8971511742773970.551424412861301
310.4379691452851010.8759382905702030.562030854714899
320.4196648051734190.8393296103468380.580335194826581
330.40976914476060.8195382895212010.5902308552394
340.466999099837870.9339981996757390.53300090016213
350.4433739895431460.8867479790862920.556626010456854
360.5257825183465910.9484349633068170.474217481653409
370.5094211348042160.9811577303915670.490578865195784
380.5144783690870330.9710432618259330.485521630912967
390.4799781563974460.9599563127948910.520021843602554
400.5425815497578560.9148369004842880.457418450242144
410.522308619569410.955382760861180.47769138043059
420.5292575183989090.9414849632021820.470742481601091
430.5406891230475570.9186217539048860.459310876952443
440.5432661543740580.9134676912518850.456733845625942
450.5637363419187450.8725273161625090.436263658081255
460.5965463195804160.8069073608391670.403453680419584
470.6053808977934960.7892382044130080.394619102206504
480.5962948769263340.8074102461473320.403705123073666
490.5857653489558270.8284693020883460.414234651044173
500.5766236414751740.8467527170496520.423376358524826
510.5727156619985540.8545686760028930.427284338001446
520.5421110375633420.9157779248733160.457888962436658
530.5656464941748440.8687070116503120.434353505825156
540.5403947194234370.9192105611531260.459605280576563
550.5081294682150090.9837410635699810.491870531784991
560.5144810989682970.9710378020634050.485518901031703
570.5491685494163540.9016629011672920.450831450583646
580.5524584777824050.895083044435190.447541522217595
590.5369865848673730.9260268302652530.463013415132627
600.5439555911382840.9120888177234330.456044408861716
610.5640735173300480.8718529653399040.435926482669952
620.5564865338847270.8870269322305460.443513466115273
630.5473385456694660.9053229086610690.452661454330534
640.5480104112652680.9039791774694640.451989588734732
650.541050602047350.9178987959053010.45894939795265
660.547964502128440.9040709957431190.45203549787156
670.5486353874869490.9027292250261030.451364612513051
680.5371639558214410.9256720883571180.462836044178559
690.5425937781420850.914812443715830.457406221857915
700.5435582910285770.9128834179428460.456441708971423
710.5288421172379910.9423157655240180.471157882762009
720.5450624205691820.9098751588616370.454937579430818
730.5591482724807880.8817034550384250.440851727519212
740.5487441214726970.9025117570546070.451255878527303
750.562365837566950.87526832486610.43763416243305
760.57436461403640.85127077192720.4256353859636
770.5777065969302490.8445868061395030.422293403069751
780.5852985925439470.8294028149121050.414701407456053
790.5942358949310370.8115282101379260.405764105068963
800.596796991624460.806406016751080.40320300837554
810.5880184090346740.8239631819306520.411981590965326
820.5741914555596040.8516170888807910.425808544440396
830.5644899880679850.8710200238640310.435510011932015
840.5804548313037460.8390903373925090.419545168696254
850.6216457689661990.7567084620676020.378354231033801
860.6179497387475680.7641005225048650.382050261252432
870.6145065143651850.770986971269630.385493485634815
880.6119986775730930.7760026448538140.388001322426907
890.5879121384513590.8241757230972820.412087861548641
900.5813756976906010.8372486046187990.418624302309399
910.5717427955251350.856514408949730.428257204474865
920.5805096084081630.8389807831836730.419490391591836
930.5795952240107950.840809551978410.420404775989205
940.5901826246978820.8196347506042360.409817375302118
950.5857542311105910.8284915377788170.414245768889409
960.5805996435910540.8388007128178930.419400356408946
970.5893980588432340.8212038823135320.410601941156766
980.5827283200181460.8345433599637080.417271679981854
990.549261816165280.9014763676694410.45073818383472
1000.5574375200538780.8851249598922430.442562479946122
1010.5815579942714440.8368840114571120.418442005728556
1020.5730626849682760.8538746300634480.426937315031724
1030.5703924042817190.8592151914365610.429607595718281
1040.5822872239182410.8354255521635170.417712776081759
1050.5665600897418250.8668798205163490.433439910258175
1060.5753873286293370.8492253427413260.424612671370663
1070.5866693456264840.8266613087470310.413330654373516
1080.6012239368410660.7975521263178680.398776063158934
1090.5951764640789220.8096470718421560.404823535921078
1100.574780419349320.8504391613013610.42521958065068
1110.5542924311238750.891415137752250.445707568876125
1120.5910987402180690.8178025195638630.408901259781931
1130.5571878349835870.8856243300328260.442812165016413
1140.5371157148116860.9257685703766290.462884285188314
1150.5139054997539120.9721890004921750.486094500246088
1160.4921576034394290.9843152068788580.507842396560571
1170.4760364008904060.9520728017808130.523963599109593
1180.441159380150140.8823187603002790.55884061984986
1190.4392056815346810.8784113630693620.560794318465319
1200.4754895151847790.9509790303695570.524510484815221
1210.4627747371233970.9255494742467940.537225262876603
1220.501230999884380.997538000231240.49876900011562
1230.5502923406033630.8994153187932740.449707659396637
1240.5356781460735760.9286437078528480.464321853926424
1250.506466740306260.9870665193874810.49353325969374
1260.5466422211654830.9067155576690340.453357778834517
1270.5106891386884010.9786217226231990.489310861311599
1280.4627660723956640.9255321447913280.537233927604336
1290.4405039892955980.8810079785911950.559496010704402
1300.409337705408470.818675410816940.59066229459153
1310.3912534583101940.7825069166203870.608746541689806
1320.3755349512210350.7510699024420710.624465048778964
1330.3538370928705190.7076741857410380.646162907129481
1340.369789885397670.7395797707953410.63021011460233
1350.4309036207890630.8618072415781250.569096379210937
1360.3979989284637120.7959978569274240.602001071536288
1370.4544220075189790.9088440150379580.545577992481021
1380.4951715234563010.9903430469126010.504828476543699
1390.4441137275402860.8882274550805720.555886272459714
1400.4127184515571890.8254369031143780.587281548442811
1410.355475182697170.710950365394340.64452481730283
1420.3050647644085030.6101295288170050.694935235591497
1430.3524753898086350.704950779617270.647524610191365
1440.3060441190898040.6120882381796080.693955880910196
1450.2869136990906040.5738273981812080.713086300909396
1460.5847735386249190.8304529227501630.415226461375081
1470.5374685394536610.9250629210926770.462531460546339
1480.7140733071186750.5718533857626510.285926692881325
1490.6583108138183820.6833783723632350.341689186181618
1500.647951045421370.7040979091572590.352048954578629
1510.6024191216092320.7951617567815370.397580878390768
1520.5791089624386880.8417820751226250.420891037561312
1530.6909760984120740.6180478031758520.309023901587926
1540.6295063751754910.7409872496490170.370493624824509
1550.5148601954052480.9702796091895040.485139804594752
1560.3694248433072260.7388496866144520.630575156692774


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 level00OK