Multiple Linear Regression - Estimated Regression Equation
Q1[t] = + 50.0313369097804 + 16.4922088057442gender[t] -0.0467799991133598t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)50.03133690978044.9190210.17100
gender16.49220880574424.3034113.83240.000220.00011
t-0.04677999911335980.070445-0.66410.5081470.254073


Multiple Linear Regression - Regression Statistics
Multiple R0.358961497027954
R-squared0.128853356348550
Adjusted R-squared0.111772049610286
F-TEST (value)7.54353038224565
F-TEST (DF numerator)2
F-TEST (DF denominator)102
p-value0.000880348550419296
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation21.8780400356169
Sum Squared Residuals48822.1608516056


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
15566.476765716411-11.4767657164110
22049.9377769115537-29.9377769115537
38049.890996912440330.1090030875597
45249.84421691332692.15578308667306
57566.28964571995788.71035428004222
63066.2428657208444-36.2428657208444
79066.19608572173123.8039142782689
86866.14930572261771.85069427738230
92449.6103169177601-25.6103169177601
106049.563536918646810.4364630813532
116566.0089657252776-1.00896572527762
126049.469976920420110.5300230795799
138065.915405727050914.0845942729491
146565.8686257279375-0.868625727937538
159049.3296369230840.67036307692
166565.7750657297108-0.775065729710819
177665.728285730597510.2717142694025
187065.68150573148414.3184942685159
193849.1425169266265-11.1425169266265
206065.5879457332574-5.58794573325738
211049.0489569283998-39.0489569283998
22549.0021769292865-44.0021769292865
239365.447605735917327.5523942640827
247048.908616931059721.0913830689403
256165.3540457376906-4.35404573769058
267265.30726573857726.69273426142278
274048.7682769337197-8.76827693371967
287565.21370574035059.7862942596495
2910065.166925741237234.8330742587629
302948.6279369363796-19.6279369363796
317065.07336574301044.92663425698958
322548.5343769381529-23.5343769381529
337064.97980574478375.0201942552163
348248.440816939926233.5591830600738
354048.3940369408128-8.39403694081279
365064.8394657474436-14.8394657474436
377064.79268574833035.20731425166974
389164.745905749216926.2540942507831
391048.2069169443594-38.2069169443594
402548.160136945246-23.160136945246
415648.11335694613267.88664305386737
423048.0665769470193-18.0665769470193
437448.019796947905925.9802030520941
446047.973016948792512.0269830512074
458047.926236949679232.0737630503208
468064.3716657563115.6283342436900
476064.3248857571967-4.32488575719667
486464.2781057580833-0.278105758083305
494064.23132575897-24.2313257589699
508064.184545759856615.8154542401434
517164.13776576074326.86223423925677
526564.09098576162990.909014238370135
539047.551996956772342.4480030432277
546863.99742576340314.00257423659685
557663.950645764289812.0493542357102
562563.9038657651764-38.9038657651764
577963.857085766063115.1429142339369
584047.3180969612055-7.31809696120551
596163.7635257678363-2.76352576783635
602763.716745768723-36.716745768723
617047.177756963865422.8222430361346
624047.1309769647521-7.13097696475207
631347.0841969656387-34.0841969656387
641547.0374169665254-32.0374169665254
653863.4828457731562-25.4828457731562
664746.94385696829860.0561430317013662
676563.38928577492951.61071422507053
686263.3425057758161-1.34250577581611
695046.80351697095863.19648302904144
708063.248945777589416.7510542224106
718763.20216577847623.7978342215240
724063.1553857793627-23.1553857793627
738063.108605780249316.8913942197507
742046.5696169753918-26.5696169753918
756063.0150457820226-3.01504578202259
764862.9682657829092-14.9682657829092
777062.92148578379597.07851421620413
789162.874705784682528.1252942153175
791046.335716979825-36.3357169798250
805046.28893698071163.7110630192884
817046.242156981598223.7578430184018
824562.6875857882291-17.6875857882291
832062.6408057891157-42.6408057891157
841046.1018169842582-36.1018169842582
859062.54724579088927.452754209111
868062.500465791775617.4995342082244
877445.961476986918128.0385230130819
887145.914696987804725.0853030121953
894045.8679169886914-5.86791698869136
902962.3133457953222-33.3133457953222
916062.2665657962088-2.26656579620883
923145.7275769913513-14.7275769913513
936745.680796992237921.3192030077621
948245.634016993124636.3659830068754
954062.0794457997554-22.0794457997554
963062.032665800642-32.032665800642
977045.493676995784524.5063230042155
986345.446896996671117.5531030033289
993545.4001169975578-10.4001169975578
1003561.8455458041886-26.8455458041886
1017045.30655699933124.6934430006690
1026061.7519858059619-1.75198580596188
1038061.705205806848518.2947941931515
1047061.65842580773528.34157419226484
1057161.61164580862189.3883541913782


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.8787957974612670.2424084050774660.121204202538733
70.8757827299085690.2484345401828620.124217270091431
80.7967264033285590.4065471933428820.203273596671441
90.8246227699742330.3507544600515340.175377230025767
100.7675834149417720.4648331701164550.232416585058228
110.6780790326507120.6438419346985750.321920967349287
120.592112324297180.815775351405640.40788767570282
130.5099203066970480.9801593866059050.490079693302952
140.425277711644380.850555423288760.57472228835562
150.4908356009382140.9816712018764280.509164399061786
160.4303284407047810.8606568814095620.569671559295219
170.350850710943320.701701421886640.64914928905668
180.2852787751612030.5705575503224050.714721224838797
190.3124818262245070.6249636524490150.687518173775493
200.2657218969298030.5314437938596050.734278103070197
210.4620451740218860.9240903480437730.537954825978114
220.609057525507160.781884948985680.39094247449284
230.6558848506259710.6882302987480580.344115149374029
240.6676184668332350.664763066333530.332381533166765
250.6084026690714490.7831946618571010.391597330928551
260.5447921928946750.910415614210650.455207807105325
270.4838754394110120.9677508788220250.516124560588988
280.4258783529017070.8517567058034130.574121647098293
290.4901354624427460.9802709248854930.509864537557254
300.472029680027730.944059360055460.52797031997227
310.4109056666727760.8218113333455510.589094333327224
320.4048237869773010.8096475739546010.595176213022699
330.346761186123320.693522372246640.65323881387668
340.4451414822189270.8902829644378530.554858517781073
350.3927787250368480.7855574500736960.607221274963152
360.3767372191856250.753474438371250.623262780814375
370.3227153970103650.6454307940207290.677284602989635
380.3335557982418350.667111596483670.666444201758165
390.4347312250520950.869462450104190.565268774947905
400.4285809085990560.8571618171981120.571419091400944
410.3890185159533990.7780370319067970.610981484046601
420.3667135978141660.7334271956283330.633286402185834
430.4037373815700180.8074747631400370.596262618429982
440.3672814197438420.7345628394876840.632718580256158
450.4277053146769180.8554106293538360.572294685323082
460.3943091296347310.7886182592694620.605690870365269
470.3530197941115700.7060395882231390.64698020588843
480.3073171962697440.6146343925394880.692682803730256
490.3301937788730950.660387557746190.669806221126905
500.3061097959302230.6122195918604470.693890204069777
510.2656495377022380.5312990754044760.734350462297762
520.2249531699874470.4499063399748940.775046830012553
530.3700888392769160.7401776785538320.629911160723084
540.3299584798740970.6599169597481930.670041520125903
550.3109071885379790.6218143770759580.689092811462021
560.4142637916015450.828527583203090.585736208398455
570.4071799896409920.8143599792819830.592820010359008
580.3565581502496020.7131163004992040.643441849750398
590.3131525675295030.6263051350590060.686847432470497
600.377681783793880.755363567587760.62231821620612
610.4035806403868800.8071612807737590.59641935961312
620.3513171678945950.702634335789190.648682832105405
630.3994031843021140.7988063686042270.600596815697886
640.4441216209005210.8882432418010430.555878379099479
650.4425109869491660.8850219738983320.557489013050834
660.386801140448670.773602280897340.61319885955133
670.3339162010152470.6678324020304950.666083798984753
680.2820327321631450.564065464326290.717967267836855
690.2362748916827980.4725497833655950.763725108317202
700.2301784413082290.4603568826164570.769821558691771
710.2681341408920070.5362682817840140.731865859107993
720.2484053633027910.4968107266055820.75159463669721
730.2588922366234650.5177844732469310.741107763376535
740.2709133407736410.5418266815472820.729086659226359
750.2248214272647560.4496428545295110.775178572735244
760.1864267373075740.3728534746151490.813573262692426
770.1650580101328990.3301160202657980.834941989867101
780.2786888643764400.5573777287528810.72131113562356
790.3686411875915060.7372823751830130.631358812408494
800.3102255493294490.6204510986588990.68977445067055
810.3198876021987210.6397752043974420.680112397801279
820.2686972541347730.5373945082695470.731302745865227
830.3375065916882120.6750131833764240.662493408311788
840.556601528139870.886796943720260.44339847186013
850.6694412340057330.6611175319885350.330558765994267
860.7799729279892750.440054144021450.220027072010725
870.8183886641196350.3632226717607300.181611335880365
880.8576006312409440.2847987375181120.142399368759056
890.8046088607228440.3907822785543130.195391139277156
900.7658253590772050.468349281845590.234174640922795
910.790415408461360.4191691830772810.209584591538640
920.7850156839395360.4299686321209280.214984316060464
930.746794800804590.506410398390820.25320519919541
940.9042903416208810.1914193167582380.0957096583791188
950.8655015495078160.2689969009843690.134498450492185
960.7893795456088820.4212409087822370.210620454391118
970.8456794027557690.3086411944884630.154320597244231
980.890310482953670.2193790340926600.109689517046330
990.857518995316260.2849620093674820.142481004683741


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