Multiple Linear Regression - Estimated Regression Equation
IQ[t] = + 124.806271001475 -0.539555259424816Add[t] -0.12564858068688MumAge[t] + 0.146475237115816Grade[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)124.80627100147510.32308612.0900
Add-0.5395552594248160.115387-4.67611.1e-056e-06
MumAge-0.125648580686880.152349-0.82470.4118550.205927
Grade0.1464752371158160.0788361.8580.0666760.033338


Multiple Linear Regression - Regression Statistics
Multiple R0.650848372128899
R-squared0.423603603502838
Adjusted R-squared0.403018017913654
F-TEST (value)20.5776805166718
F-TEST (DF numerator)3
F-TEST (DF denominator)84
p-value4.34927538428553e-10
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation9.8517620375016
Sum Squared Residuals8152.80608045885


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1111104.7504849788356.24951502116548
2102103.62297161924-1.62297161923987
3108107.6987592258730.301240774126788
410999.20914578958399.79085421041612
5118108.9083212709369.09167872906374
67987.3168367109284-8.31683671092842
78890.7758320928283-2.77583209282829
8102101.6615752417620.338424758237811
910593.67661327992711.323386720073
1092104.386239081089-12.3862390810891
11131116.39881572213814.6011842778623
12104101.0891733490732.91082665092666
138387.8354547445783-4.83545474457834
1484100.960209676432-16.9602096764324
1585100.319147584704-15.3191475847037
1611099.764146687143810.2358533128562
17121112.5151603995458.48483960045468
1812096.520065602707723.4799343972923
19100106.847483987494-6.84748398749446
2094101.110000005502-7.11000000550227
2189105.094473518285-16.0944735182852
2293103.202995280095-10.2029952800948
23128105.07901910551722.920980894483
2484101.61259432825-17.6125943282498
25127119.8289682048417.17103179515919
26106103.4086353945432.59136460545659
27129116.2994853855212.7005146144805
288284.0411757081089-2.04117570810886
2910699.3656856465416.63431435345905
3010996.625686738424812.3743132615751
319185.74727119014555.25272880985452
32111108.2411708484642.75882915153612
33105104.1303688875140.86963111248607
34118111.0967537174266.90324628257439
35103101.5952021077541.40479789224598
36101105.057512581608-4.05751258160795
37101103.874948648094-2.87494864809374
3895104.015362999436-9.01536299943561
3910895.612260711470112.3877392885299
409598.6917856961814-3.69178569618137
419882.997079543575815.0029204564242
428297.0663703900197-15.0663703900197
43100106.875748813924-6.87574881392387
4410096.32255230037283.67744769962715
45107104.0718926522942.92810734770557
4695101.198687649512-6.19868764951186
479791.17760822538525.82239177461482
489390.16910448793612.8308955120639
498193.3325141711304-12.3325141711304
508993.1558275252245-4.1558275252245
51111104.9540591669436.04594083305663
529591.76430838530773.23569161469234
53106110.188948826188-4.18894882618803
548391.9793332521174-8.9793332521174
558193.9742561303392-12.9742561303392
56115105.5110066468649.48899335313605
57112103.6014563206988.39854367930232
5892100.922560097642-8.92256009764186
598592.2231922434907-7.22319224349068
6095100.940640960251-5.94064096025089
61115107.4024848850547.59751511494563
629194.3410179085795-3.34101790857949
63107113.991354674771-6.99135467477126
6410283.787931964374418.2120680356256
658698.1300352707343-12.1300352707342
669697.0750665002676-1.0750665002676
67114111.6147936783082.38520632169178
68105100.6934668769244.30653312307644
698289.8339226280793-7.83392262807928
70120106.29923261782213.7007673821782
718895.4216162810016-7.4216162810016
7290104.745792602654-14.745792602654
738597.6059256494445-12.6059256494445
74106113.337592738727-7.33759273872735
75109114.72647665417-5.72647665417024
767590.0630246234307-15.0630246234307
7791102.57212592682-11.5721259268197
789684.719198736514911.2808012634851
79108106.652716478981.34728352102048
8086103.319947750534-17.3199477505338
819887.283310210184310.7166897898157
829996.4852723870832.51472761291702
839587.18112351040037.81887648959972
848884.72789484676283.27210515323724
85111106.3361935544994.66380644550095
86103100.6202248710492.37977512895093
8710798.58765241403678.41234758596331
88118107.0296622210410.9703377789598


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.1635038695875910.3270077391751830.836496130412409
80.07381399668964690.1476279933792940.926186003310353
90.04602219551379020.09204439102758040.95397780448621
100.03808567592764780.07617135185529550.961914324072352
110.06618619145945570.1323723829189110.933813808540544
120.0394000465245230.07880009304904590.960599953475477
130.0361063881494460.0722127762988920.963893611850554
140.4127913910356160.8255827820712320.587208608964384
150.4496885661285750.8993771322571510.550311433871425
160.464128232568570.9282564651371390.53587176743143
170.4037897030962230.8075794061924460.596210296903777
180.7134595773621320.5730808452757350.286540422637868
190.6907236498135740.6185527003728520.309276350186426
200.6325207160902290.7349585678195420.367479283909771
210.7866612710837720.4266774578324560.213338728916228
220.7651490972475790.4697018055048420.234850902752421
230.9635675443664750.0728649112670510.0364324556335255
240.9822659161570450.03546816768591050.0177340838429552
250.9780446789844690.04391064203106260.0219553210155313
260.9682454659480560.06350906810388690.0317545340519435
270.9729358390757620.05412832184847550.0270641609242378
280.9621281262346920.07574374753061630.0378718737653082
290.9553213513548270.08935729729034510.0446786486451725
300.9588720316942370.08225593661152650.0411279683057632
310.9458283443934030.1083433112131950.0541716556065974
320.9291479699965120.1417040600069760.0708520300034878
330.9136138966374670.1727722067250660.0863861033625329
340.9075013720988110.1849972558023790.0924986279011893
350.8841908865089190.2316182269821630.115809113491082
360.862089019089070.2758219618218610.13791098091093
370.8279054756192970.3441890487614060.172094524380703
380.821629602427640.3567407951447190.17837039757236
390.8466335377488940.3067329245022120.153366462251106
400.814006068314080.3719878633718390.18599393168592
410.850048797792310.299902404415380.14995120220769
420.900218825727080.199562348545840.0997811742729199
430.8833404163017450.2333191673965110.116659583698256
440.8544558284162140.2910883431675730.145544171583786
450.8290934949415810.3418130101168380.170906505058419
460.8048240168011190.3903519663977610.195175983198881
470.7688984040025550.462203191994890.231101595997445
480.7187894828184220.5624210343631560.281210517181578
490.7502812379451470.4994375241097060.249718762054853
500.7064106360647140.5871787278705730.293589363935287
510.6683459483569140.6633081032861720.331654051643086
520.6105376185909650.778924762818070.389462381409035
530.5550894257449540.8898211485100910.444910574255046
540.5386242336467740.9227515327064510.461375766353226
550.5812702770593550.837459445881290.418729722940645
560.5577521383026430.8844957233947140.442247861697357
570.5567875378969790.8864249242060430.443212462103021
580.5349780022248540.9300439955502920.465021997775146
590.5002414972964280.9995170054071440.499758502703572
600.4528808631936360.9057617263872730.547119136806363
610.4337784561406020.8675569122812030.566221543859398
620.3724997924445190.7449995848890380.627500207555481
630.3249836861672550.649967372334510.675016313832745
640.4400744029238150.8801488058476310.559925597076185
650.465342729231330.930685458462660.53465727076867
660.3913419176940.7826838353880010.608658082306
670.3357944788591050.671588957718210.664205521140895
680.2821100257625890.5642200515251780.717889974237411
690.2726441685923940.5452883371847890.727355831407606
700.4241582828160360.8483165656320710.575841717183964
710.3834070863414710.7668141726829410.61659291365853
720.4315829170492430.8631658340984870.568417082950757
730.4640380523204280.9280761046408560.535961947679572
740.3987288075359570.7974576150719130.601271192464043
750.3174569432428380.6349138864856750.682543056757162
760.5825163648123690.8349672703752610.417483635187631
770.8050348060574230.3899303878851540.194965193942577
780.7727966728713060.4544066542573870.227203327128694
790.6818989518953020.6362020962093960.318101048104698
800.9471122548729180.1057754902541650.0528877451270825
810.9302810697088920.1394378605822160.0697189302911081


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level20.0266666666666667OK
10% type I error level120.16NOK