Multiple Linear Regression - Estimated Regression Equation
CorrectAnalysis[t] = -0.0255013504663802 -0.00748440764286597UseLimit[t] + 0.150191020750643T40[t] + 0.28028525650025Used[t] + 0.0639879419186647Useful[t] -0.0462319248323565Outcome[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-0.02550135046638020.04918-0.51850.6055160.302758
UseLimit-0.007484407642865970.067009-0.11170.9113460.455673
T400.1501910207506430.0687582.18430.0318660.015933
Used0.280285256500250.0650264.31034.6e-052.3e-05
Useful0.06398794191866470.0633241.01050.3153110.157655
Outcome-0.04623192483235650.058251-0.79370.4297370.214869


Multiple Linear Regression - Regression Statistics
Multiple R0.549017657024751
R-squared0.301420387724947
Adjusted R-squared0.257759161957756
F-TEST (value)6.90361716668635
F-TEST (DF numerator)5
F-TEST (DF denominator)80
p-value2.10442434196434e-05
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.265265244423797
Sum Squared Residuals5.62925199193735


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
100.0709733378090402-0.0709733378090402
20-0.02550135046638020.0255013504663802
30-0.02550135046638020.0255013504663802
40-0.02550135046638040.0255013504663804
50-0.02550135046638010.0255013504663801
60-0.01522974102293810.0152297410229381
70-0.02550135046638020.0255013504663802
800.124689670284263-0.124689670284263
90-0.07173327529873670.0717332752987367
100-0.03298575810924620.0329857581092462
1100.117205262641397-0.117205262641397
120-0.02550135046638020.0255013504663802
1300.318771847952535-0.318771847952535
1400.117205262641397-0.117205262641397
1500.272539923120178-0.272539923120178
1600.422730943870821-0.422730943870821
1710.4614784610603120.538521538939688
1800.117205262641397-0.117205262641397
190-0.07173327529873670.0717332752987367
2010.4227309438708210.577269056129179
2100.0310021838094185-0.0310021838094185
2200.265055515477312-0.265055515477312
230-0.007745333380072090.00774533338007209
240-0.01522974102293810.0152297410229381
2500.358743001952157-0.358743001952157
2600.318771847952535-0.318771847952535
270-0.07921768294160270.0792176829416027
2800.25478390603387-0.25478390603387
290-0.07173327529873670.0717332752987367
3000.0384865914522844-0.0384865914522844
310-0.02550135046638020.0255013504663802
320-0.03298575810924620.0329857581092462
3300.0310021838094185-0.0310021838094185
3400.0784577454519064-0.0784577454519064
350-0.02550135046638020.0255013504663802
360-0.02550135046638020.0255013504663802
3700.461478461060312-0.461478461060312
3800.208551981201514-0.208551981201514
390-0.007745333380072090.00774533338007209
4000.188677612202928-0.188677612202928
4110.2725399231201780.727460076879822
4200.208551981201514-0.208551981201514
430-0.01522974102293810.0152297410229381
4400.117205262641397-0.117205262641397
4500.0384865914522844-0.0384865914522844
460-0.007745333380072090.00774533338007209
470-0.02550135046638020.0255013504663802
480-0.07173327529873670.0717332752987367
490-0.007745333380072090.00774533338007209
500-0.02550135046638020.0255013504663802
5100.404974926784513-0.404974926784513
5210.4614784610603120.538521538939688
530-0.07173327529873670.0717332752987367
5410.254783906033870.74521609396613
550-0.02550135046638020.0255013504663802
5600.358743001952157-0.358743001952157
5700.272539923120178-0.272539923120178
580-0.07173327529873670.0717332752987367
590-0.07173327529873670.0717332752987367
6010.4152465362279560.584753463772044
6100.0709733378090404-0.0709733378090404
6200.318771847952535-0.318771847952535
630-0.02550135046638020.0255013504663802
6400.0709733378090404-0.0709733378090404
650-0.02550135046638020.0255013504663802
660-0.02550135046638020.0255013504663802
6710.4689628687031780.531037131296822
680-0.03298575810924620.0329857581092462
690-0.07173327529873670.0717332752987367
7000.25478390603387-0.25478390603387
710-0.02550135046638020.0255013504663802
720-0.07173327529873670.0717332752987367
7300.208551981201514-0.208551981201514
7400.247299498391004-0.247299498391004
750-0.07173327529873670.0717332752987367
7600.142445687370571-0.142445687370571
770-0.07173327529873670.0717332752987367
7800.272539923120178-0.272539923120178
7910.3587430019521570.641256998047843
8000.188677612202928-0.188677612202928
810-0.02550135046638020.0255013504663802
8200.201067573558648-0.201067573558648
830-0.02550135046638020.0255013504663802
8410.254783906033870.74521609396613
850-0.007745333380072090.00774533338007209
860-0.03298575810924620.0329857581092462


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
9001
10001
11001
12001
13001
14001
15001
16001
170.1665107653698420.3330215307396840.833489234630158
180.1326239174515330.2652478349030650.867376082548467
190.1097360929388850.2194721858777690.890263907061115
200.5102283471946370.9795433056107250.489771652805363
210.4270862785262040.8541725570524080.572913721473796
220.4047909920349060.8095819840698120.595209007965094
230.3280955308917070.6561910617834140.671904469108293
240.2599628485203030.5199256970406060.740037151479697
250.2594436733180160.5188873466360320.740556326681984
260.2617303387990440.5234606775980890.738269661200956
270.2204326853483760.4408653706967530.779567314651624
280.1849895925408330.3699791850816670.815010407459167
290.1465652425977520.2931304851955040.853434757402248
300.1117887956073580.2235775912147170.888211204392642
310.08223681805920490.164473636118410.917763181940795
320.05934000254545470.1186800050909090.940659997454545
330.04186241453671320.08372482907342630.958137585463287
340.02981089968005240.05962179936010470.970189100319948
350.02005171772827070.04010343545654130.979948282271729
360.0131460923287570.02629218465751390.986853907671243
370.02602167291483370.05204334582966750.973978327085166
380.01974425927678990.03948851855357980.98025574072321
390.012947586928690.025895173857380.98705241307131
400.01150242307472820.02300484614945630.988497576925272
410.1677488706427330.3354977412854670.832251129357267
420.1455643013978490.2911286027956990.854435698602151
430.11203572512660.22407145025320.8879642748734
440.09104755433388490.182095108667770.908952445666115
450.06757170905445250.1351434181089050.932428290945547
460.0491716668374790.0983433336749580.950828333162521
470.03478303919079430.06956607838158870.965216960809206
480.02449389643645390.04898779287290780.975506103563546
490.0167353609870260.0334707219740520.983264639012974
500.01102497178484490.02204994356968980.988975028215155
510.02868873802239160.05737747604478310.971311261977608
520.0883623935707580.1767247871415160.911637606429242
530.06672858831625210.1334571766325040.933271411683748
540.3127384928810630.6254769857621260.687261507118937
550.254386872862470.5087737457249390.74561312713753
560.4673566197401260.9347132394802520.532643380259874
570.4384966822475850.8769933644951710.561503317752415
580.3749777228035660.7499554456071310.625022277196434
590.3148669166059320.6297338332118640.685133083394068
600.6422022569194870.7155954861610260.357797743080513
610.5848688033116610.8302623933766780.415131196688339
620.5685529781200380.8628940437599230.431447021879962
630.4939055380568340.9878110761136680.506094461943166
640.4386226579359570.8772453158719140.561377342064043
650.3633633636321790.7267267272643580.636636636367821
660.2927093647837070.5854187295674130.707290635216293
670.4377331283226820.8754662566453630.562266871677318
680.3758104929921640.7516209859843270.624189507007836
690.2944044581611920.5888089163223840.705595541838808
700.4062888672793160.8125777345586320.593711132720684
710.3315886447558360.6631772895116730.668411355244164
720.2447071416781410.4894142833562810.755292858321859
730.4085474083863160.8170948167726320.591452591613684
740.3986509709502060.7973019419004110.601349029049794
750.2835022349966140.5670044699932270.716497765003386
760.182262982256030.3645259645120590.81773701774397
770.101901869335470.203803738670940.89809813066453


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level80.115942028985507NOK
5% type I error level160.231884057971014NOK
10% type I error level220.318840579710145NOK