Multiple Linear Regression - Estimated Regression Equation
Outcome[t] = + 0.407297941015069 -0.0815995698277696UseLimit[t] + 0.0358865460405258T40[t] + 0.105702133494478Used[t] -0.168981184403386CorrectAnalysis[t] + 0.155551570380783Useful[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.4072979410150690.082444.94054e-062e-06
UseLimit-0.08159956982776960.127793-0.63850.5249540.262477
T400.03588654604052580.1352580.26530.7914460.395723
Used0.1057021334944780.1374940.76880.4442910.222146
CorrectAnalysis-0.1689811844033860.212912-0.79370.4297370.214869
Useful0.1555515703807830.1205871.28990.2007840.100392


Multiple Linear Regression - Regression Statistics
Multiple R0.195771301056748
R-squared0.0383264023174518
Adjusted R-squared-0.0217781975377076
F-TEST (value)0.637661716570964
F-TEST (DF numerator)5
F-TEST (DF denominator)80
p-value0.671577287063815
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.507140785309565
Sum Squared Residuals20.5753420899522


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110.3615849172278250.638415082772175
200.407297941015069-0.407297941015069
300.407297941015069-0.407297941015069
400.407297941015069-0.407297941015069
500.407297941015069-0.407297941015069
610.4812499415680830.518750058431917
700.407297941015069-0.407297941015069
800.443184487055595-0.443184487055595
910.4072979410150690.592702058984931
1000.3256983711873-0.3256983711873
1100.361584917227826-0.361584917227826
1200.407297941015069-0.407297941015069
1300.668551644890331-0.668551644890331
1400.361584917227826-0.361584917227826
1510.6685516448903310.331448355109669
1610.7044381909308570.295561809069143
1700.453857436699701-0.453857436699701
1800.361584917227826-0.361584917227826
1910.4072979410150690.592702058984931
2010.5354570065274710.464542993472529
2100.481249941568083-0.481249941568083
2210.5869520750625610.413047924937439
2310.5628495113958530.437150488604147
2410.4812499415680830.518750058431917
2510.5488866205500730.451113379449927
2600.668551644890331-0.668551644890331
2710.32569837118730.6743016288127
2800.513000074509547-0.513000074509547
2910.4072979410150690.592702058984931
3000.562849511395853-0.562849511395853
3100.407297941015069-0.407297941015069
3200.3256983711873-0.3256983711873
3300.481249941568083-0.481249941568083
3410.4431844870555950.556815512944405
3500.407297941015069-0.407297941015069
3600.407297941015069-0.407297941015069
3700.622838621103087-0.622838621103087
3810.5130000745095470.486999925490453
3910.5628495113958530.437150488604147
4000.598736057436379-0.598736057436379
4110.4995704604869450.500429539513055
4210.5130000745095470.486999925490453
4310.4812499415680830.518750058431917
4400.361584917227826-0.361584917227826
4500.562849511395853-0.562849511395853
4610.5628495113958530.437150488604147
4700.407297941015069-0.407297941015069
4810.4072979410150690.592702058984931
4910.5628495113958530.437150488604147
5000.407297941015069-0.407297941015069
5100.548886620550073-0.548886620550073
5200.453857436699701-0.453857436699701
5310.4072979410150690.592702058984931
5400.344018890106161-0.344018890106161
5500.407297941015069-0.407297941015069
5610.5488866205500730.451113379449927
5710.6685516448903310.331448355109669
5810.4072979410150690.592702058984931
5910.4072979410150690.592702058984931
6010.4538574366997010.546142563300299
6110.3615849172278260.638415082772174
6200.668551644890331-0.668551644890331
6300.407297941015069-0.407297941015069
6410.3615849172278260.638415082772174
6500.407297941015069-0.407297941015069
6600.407297941015069-0.407297941015069
6700.535457006527471-0.535457006527471
6800.3256983711873-0.3256983711873
6910.4072979410150690.592702058984931
7000.513000074509547-0.513000074509547
7100.407297941015069-0.407297941015069
7210.4072979410150690.592702058984931
7310.5130000745095470.486999925490453
7400.431400504681778-0.431400504681778
7510.4072979410150690.592702058984931
7610.5987360574363790.401263942563621
7710.4072979410150690.592702058984931
7810.6685516448903310.331448355109669
7910.3799054361466870.620094563853313
8000.598736057436379-0.598736057436379
8100.407297941015069-0.407297941015069
8210.4314005046817780.568599495318222
8300.407297941015069-0.407297941015069
8400.344018890106161-0.344018890106161
8510.5628495113958530.437150488604147
8600.3256983711873-0.3256983711873


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.6343092479810810.7313815040378380.365690752018919
100.6855594155743290.6288811688513410.314440584425671
110.6527097592065010.6945804815869990.347290240793499
120.5392698452144130.9214603095711730.460730154785587
130.4335347190116440.8670694380232880.566465280988356
140.3691831679227850.7383663358455690.630816832077215
150.4586751139594010.9173502279188030.541324886040599
160.3913483408071580.7826966816143170.608651659192842
170.3074734321795940.6149468643591880.692526567820406
180.2557089643137170.5114179286274340.744291035686283
190.3927380240474120.7854760480948230.607261975952588
200.4052760463112240.8105520926224470.594723953688777
210.4663824745948560.9327649491897120.533617525405144
220.4589131082631720.9178262165263450.541086891736828
230.4115945837423020.8231891674846040.588405416257698
240.3806304184082940.7612608368165880.619369581591706
250.3962830172024670.7925660344049340.603716982797533
260.4700828196101790.9401656392203570.529917180389821
270.5551998321784610.8896003356430780.444800167821539
280.5223146382746810.9553707234506370.477685361725319
290.5633024937492530.8733950125014930.436697506250747
300.5825865965395030.8348268069209940.417413403460497
310.5441669317869960.9116661364260090.455833068213004
320.4965854923246690.9931709846493370.503414507675331
330.490126810652990.980253621305980.50987318934701
340.4984118457518830.9968236915037670.501588154248117
350.4627736345238220.9255472690476440.537226365476178
360.42851652219680.85703304439360.5714834778032
370.4675321684594770.9350643369189540.532467831540523
380.4761599761120380.9523199522240770.523840023887962
390.4559820730345020.9119641460690050.544017926965497
400.4791355374678680.9582710749357350.520864462532132
410.4679689333092920.9359378666185850.532031066690708
420.4575852105926370.9151704211852740.542414789407363
430.4563152570583990.9126305141167990.543684742941601
440.4393098739089250.8786197478178490.560690126091075
450.4467756201820020.8935512403640030.553224379817998
460.4307100838371090.8614201676742180.569289916162891
470.4088397636667830.8176795273335670.591160236333216
480.4241848660408260.8483697320816530.575815133959174
490.4081041042031790.8162082084063590.591895895796821
500.386565273815220.773130547630440.61343472618478
510.4461552275840160.8923104551680330.553844772415984
520.4326413867232710.8652827734465430.567358613276729
530.4507791424015310.9015582848030620.549220857598469
540.4024382555271450.8048765110542910.597561744472855
550.3792164673756940.7584329347513890.620783532624306
560.3414844843213970.6829689686427940.658515515678603
570.3168305615425620.6336611230851250.683169438457438
580.3304709124221430.6609418248442860.669529087577857
590.3502729821337740.7005459642675480.649727017866226
600.363651751098060.7273035021961190.636348248901941
610.3451791268291890.6903582536583770.654820873170811
620.3608948891523460.7217897783046930.639105110847654
630.3332631183968520.6665262367937040.666736881603148
640.3481344436510380.6962688873020760.651865556348962
650.3255811215249240.6511622430498480.674418878475076
660.3126864421069990.6253728842139990.687313557893001
670.3023009900916140.6046019801832280.697699009908386
680.2421571317003780.4843142634007560.757842868299622
690.2379820941729160.4759641883458310.762017905827084
700.3067063641869060.6134127283738130.693293635813094
710.2998442451296730.5996884902593460.700155754870327
720.2777382508440920.5554765016881840.722261749155908
730.2035986904767440.4071973809534870.796401309523256
740.2173946726710870.4347893453421740.782605327328913
750.2181507863568740.4363015727137480.781849213643126
760.1677193956628940.3354387913257880.832280604337106
770.2615927434059290.5231854868118580.738407256594071


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