Multiple Linear Regression - Estimated Regression Equation
Qualityoflettersofrecommendation[t] = + 2.87926918950499 + 0.0907256384999622CollegeGPA[t] + 1.31916985763979HighSchoolGPA[t] -0.000563091457009581SATtotal[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)2.879269189504990.5759574.99913e-061e-06
CollegeGPA0.09072563849996220.2039010.44490.6573580.328679
HighSchoolGPA1.319169857639790.1999756.596700
SATtotal-0.0005630914570095810.000654-0.86160.3910630.195532


Multiple Linear Regression - Regression Statistics
Multiple R0.63037199537585
R-squared0.397368852554131
Adjusted R-squared0.378536629196448
F-TEST (value)21.100474702686
F-TEST (DF numerator)3
F-TEST (DF denominator)96
p-value1.39666056497845e-10
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.17887883589416
Sum Squared Residuals133.416509733041


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
155.11337304690064-0.11337304690064
266.89058765295017-0.890587652950168
367.24854333401823-1.24854333401823
444.61304640397146-0.613046403971464
556.87790394223787-1.87790394223787
632.893434382951880.106565617048121
722.88362095786913-0.883620957869129
875.046526078139671.95347392186033
945.06073241310514-1.06073241310514
1075.271667459639911.72833254036009
1175.32065949854711.6793405014529
1234.28649131686314-1.28649131686314
1354.504152771875830.495847228124174
1466.57562392564208-0.575623925642083
1545.25370675932148-1.25370675932148
1655.93775633551585-0.937756335515848
1744.94013556391842-0.940135563918416
1866.40334760527824-0.403347605278241
1954.582398574696560.41760142530344
2045.05733127371581-1.05733127371581
2165.026145205081410.973854794918595
2234.63921857600896-1.63921857600896
2364.767646999962271.23235300003773
2474.989519724092282.01048027590772
2566.84596613244375-0.845966132443748
2653.649866014593831.35013398540617
2755.45934666737212-0.459346667372118
2834.9354288014515-1.9354288014515
2954.89461314910160.105386850898404
3033.76337018432769-0.76337018432769
31107.152516667987832.84748333201217
3255.68333184409765-0.683331844097648
3354.818231914577380.181768085422616
3454.842326246152830.157673753847165
3534.36933650214671-1.36933650214671
3644.60065807610324-0.600658076103244
3766.03725148912549-0.0372514891254924
3855.06935380868548-0.0693538086854771
3966.04169406263764-0.0416940626376422
4055.27328080286179-0.273280802861792
4165.253002476141230.74699752385877
4254.392558035919030.607441964080968
4365.723040450419150.276959549580845
4446.23367125419739-2.23367125419739
4555.14587935259777-0.145879352597769
4644.72798177127868-0.727981771278683
4776.159022926647740.840977073352264
4844.75217366197384-0.752173661973844
4964.927143344219521.07285665578048
5075.940627604104911.05937239589509
5165.822129220108480.177870779891517
5265.961537838032220.0384621619677803
5334.66749518341426-1.66749518341426
5445.35842267400524-1.35842267400524
5555.4038986138021-0.403898613802095
5664.290006009262041.70999399073796
5765.156600115196720.843399884803283
5834.84038396333333-1.84038396333333
5924.00591854282824-2.00591854282824
6076.953850858596890.0461491414031065
6166.48741228999159-0.487412289991588
6233.18389114933828-0.183891149338284
6386.861691908101041.13830809189896
6454.260030475387660.739969524612343
6554.83674700169680.163252998303204
6654.999145457100920.000854542899078447
6766.14998702198145-0.149987021981447
6844.58821906612859-0.588219066128595
6964.84812414693761.1518758530624
7054.045695312988660.954304687011337
7163.537441777340622.46255822265938
7244.85776752394112-0.857767523941123
7324.37176638278489-2.37176638278489
7446.15172951515756-2.15172951515756
7544.83383467272034-0.833834672720343
7644.18729449497612-0.187294494976119
7754.590045406267590.409954593732412
7876.315207006262120.684792993737877
7964.807083516749971.19291648325003
8044.73126566921398-0.731265669213976
8144.95321799770291-0.953217997702908
8266.79889456584031-0.79889456584031
8364.0198577805261.980142219474
8454.669719809114640.330280190885363
8565.42616342167720.573836578322802
8686.1538732022081.846126797792
8765.400292805489280.599707194510722
8865.08844438036240.9115556196376
8997.986044850812821.01395514918718
9064.890217722803021.10978227719698
9175.887033193290741.11296680670926
9265.104873186040120.89512681395988
9375.351937034426921.64806296557308
9465.459903727803220.540096272196775
9575.597182014453741.40281798554626
9644.77130730052278-0.771307300522784
9764.851361248990811.14863875100919
9845.72301141151797-1.72301141151797
9964.830290671219961.16970932878004
10024.05650781808143-2.05650781808143


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.1281993131577270.2563986263154550.871800686842273
80.5784038786354780.8431922427290440.421596121364522
90.6027115078004390.7945769843991220.397288492199561
100.734281208917110.531437582165780.26571879108289
110.8072767655126830.3854464689746350.192723234487317
120.8335766730599480.3328466538801040.166423326940052
130.7685151935812280.4629696128375440.231484806418772
140.692926673329380.614146653341240.30707332667062
150.6479459303494560.7041081393010880.352054069650544
160.5769573676831830.8460852646336340.423042632316817
170.5023180768136540.9953638463726910.497681923186346
180.4263274984453440.8526549968906890.573672501554656
190.3569794425761680.7139588851523360.643020557423832
200.3293218268734280.6586436537468560.670678173126572
210.3206927042455520.6413854084911050.679307295754448
220.4694562807420410.9389125614840830.530543719257959
230.4736737709045640.9473475418091290.526326229095435
240.6266590734376250.7466818531247510.373340926562375
250.6026442176317080.7947115647365840.397355782368292
260.5801386500018960.8397226999962080.419861349998104
270.5212736295270150.957452740945970.478726370472985
280.5919734909593490.8160530180813020.408026509040651
290.5271457117634480.9457085764731050.472854288236552
300.4994413022015490.9988826044030980.500558697798451
310.7781325166710330.4437349666579350.221867483328967
320.7468407563322070.5063184873355860.253159243667793
330.6943072655487660.6113854689024690.305692734451234
340.658434924956880.6831301500862410.34156507504312
350.6712118834280030.6575762331439950.328788116571997
360.6233385584734710.7533228830530580.376661441526529
370.5648812062642720.8702375874714560.435118793735728
380.51703834110480.96592331779040.4829616588952
390.4617602605576940.9235205211153880.538239739442306
400.4043246565109410.8086493130218810.595675343489059
410.4018940776783870.8037881553567740.598105922321613
420.3692138921555940.7384277843111870.630786107844406
430.3161142459918790.6322284919837570.683885754008121
440.4316630969035130.8633261938070270.568336903096487
450.3833396885863340.7666793771726690.616660311413666
460.3522461403628150.704492280725630.647753859637185
470.3435831741380990.6871663482761980.656416825861901
480.3108493699520790.6216987399041580.689150630047921
490.3084905934747440.6169811869494880.691509406525256
500.3069847511133820.6139695022267630.693015248886618
510.2591508151357880.5183016302715760.740849184864212
520.2152051634517940.4304103269035890.784794836548206
530.2615254174849190.5230508349698370.738474582515081
540.2811472286712140.5622944573424280.718852771328786
550.2414610988399420.4829221976798840.758538901160058
560.2914812431784250.5829624863568490.708518756821575
570.2669966069540550.533993213908110.733003393045945
580.3439692613284180.6879385226568350.656030738671582
590.4569576874714860.9139153749429730.543042312528514
600.3996942032069810.7993884064139610.60030579679302
610.3586695912541340.7173391825082670.641330408745866
620.3050403213712570.6100806427425140.694959678628743
630.307561158530070.615122317060140.69243884146993
640.2758731765956220.5517463531912430.724126823404378
650.2273337204803820.4546674409607640.772666279519618
660.1885619615860960.3771239231721920.811438038413904
670.151215044561540.3024300891230790.84878495543846
680.1329125767592660.2658251535185320.867087423240734
690.1229289845269840.2458579690539670.877071015473016
700.1057631651706030.2115263303412060.894236834829397
710.2230830973319470.4461661946638940.776916902668053
720.1898397203545380.3796794407090760.810160279645462
730.3444680400433620.6889360800867240.655531959956638
740.5802439663217980.8395120673564040.419756033678202
750.5555454556941010.8889090886117990.444454544305899
760.4923862060936150.984772412187230.507613793906385
770.4228444538077210.8456889076154410.577155546192279
780.3630432780173420.7260865560346840.636956721982658
790.34134604551430.6826920910286010.6586539544857
800.315753588274410.631507176548820.68424641172559
810.3363993467432110.6727986934864220.663600653256789
820.385551796114260.771103592228520.61444820388574
830.4997128625153430.9994257250306860.500287137484657
840.4139991323965240.8279982647930480.586000867603476
850.3340727190107670.6681454380215350.665927280989233
860.3342823448295680.6685646896591360.665717655170432
870.2545003059596220.5090006119192440.745499694040378
880.19604042102510.3920808420501990.8039595789749
890.1650862352751550.3301724705503090.834913764724845
900.1372930519749710.2745861039499410.86270694802503
910.08737291340182170.1747458268036430.912627086598178
920.0501234419003810.1002468838007620.949876558099619
930.04888221645664010.09776443291328010.95111778354336


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 level10.0114942528735632OK