Multiple Linear Regression - Estimated Regression Equation
CorrectAnalysis[t] = -0.0272654428933923 + 0.148049856809862T40[t] + 0.281155242564863Used[t] + 0.0632764567718833Useful[t] -0.0457739778191937Outcome[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-0.02726544289339230.04629-0.5890.5574890.278744
T400.1480498568098620.0656282.25590.0267740.013387
Used0.2811552425648630.0641634.38193.5e-051.7e-05
Useful0.06327645677188330.0626181.01050.3152560.157628
Outcome-0.04577397781919370.057751-0.79260.4303230.215162


Multiple Linear Regression - Regression Statistics
Multiple R0.548918435951736
R-squared0.3013114493277
Adjusted R-squared0.266808311022895
F-TEST (value)8.73287080919648
F-TEST (DF numerator)4
F-TEST (DF denominator)81
p-value6.5187336977246e-06
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.263643273596876
Sum Squared Residuals5.63012983274307


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
100.0750104360972761-0.0750104360972761
20-0.02726544289339250.0272654428933925
30-0.02726544289339210.0272654428933921
40-0.02726544289339220.0272654428933922
50-0.02726544289339230.0272654428933923
60-0.009762963940702730.00976296394070273
70-0.02726544289339230.0272654428933923
800.12078441391647-0.12078441391647
90-0.0730394207125860.073039420712586
100-0.02726544289339230.0272654428933923
1100.12078441391647-0.12078441391647
120-0.02726544289339230.0272654428933923
1300.317166256443354-0.317166256443354
1400.12078441391647-0.12078441391647
1500.27139227862416-0.27139227862416
1600.419442135434022-0.419442135434022
1710.4652161132532160.534783886746784
1800.12078441391647-0.12078441391647
190-0.0730394207125860.073039420712586
2010.4194421354340220.580557864565978
2100.036011013878491-0.036011013878491
2200.27139227862416-0.27139227862416
230-0.009762963940702730.00976296394070273
240-0.009762963940702730.00976296394070273
2500.356165678662139-0.356165678662139
2600.317166256443354-0.317166256443354
270-0.0730394207125860.073039420712586
2800.25388979967147-0.25388979967147
290-0.0730394207125860.073039420712586
3000.036011013878491-0.036011013878491
310-0.02726544289339230.0272654428933923
320-0.02726544289339230.0272654428933923
3300.036011013878491-0.036011013878491
3400.0750104360972762-0.0750104360972762
350-0.02726544289339230.0272654428933923
360-0.02726544289339230.0272654428933923
3700.465216113253216-0.465216113253216
3800.208115821852277-0.208115821852277
390-0.009762963940702730.00976296394070273
4000.184060870688353-0.184060870688353
4110.271392278624160.72860772137584
4200.208115821852277-0.208115821852277
430-0.009762963940702730.00976296394070273
4400.12078441391647-0.12078441391647
4500.036011013878491-0.036011013878491
460-0.009762963940702730.00976296394070273
470-0.02726544289339230.0272654428933923
480-0.0730394207125860.073039420712586
490-0.009762963940702730.00976296394070273
500-0.02726544289339230.0272654428933923
5100.401939656481333-0.401939656481333
5210.4652161132532160.534783886746784
530-0.0730394207125860.073039420712586
5410.253889799671470.74611020032853
550-0.02726544289339230.0272654428933923
5600.356165678662139-0.356165678662139
5700.27139227862416-0.27139227862416
580-0.0730394207125860.073039420712586
590-0.0730394207125860.073039420712586
6010.4194421354340220.580557864565978
6100.0750104360972762-0.0750104360972762
6200.317166256443354-0.317166256443354
630-0.02726544289339230.0272654428933923
6400.0750104360972762-0.0750104360972762
650-0.02726544289339230.0272654428933923
660-0.02726544289339230.0272654428933923
6710.4652161132532160.534783886746784
680-0.02726544289339230.0272654428933923
690-0.0730394207125860.073039420712586
7000.25388979967147-0.25388979967147
710-0.02726544289339230.0272654428933923
720-0.0730394207125860.073039420712586
7300.208115821852277-0.208115821852277
7400.25388979967147-0.25388979967147
750-0.0730394207125860.073039420712586
7600.138286892869159-0.138286892869159
770-0.0730394207125860.073039420712586
7800.27139227862416-0.27139227862416
7910.3561656786621390.643834321337861
8000.184060870688353-0.184060870688353
810-0.02726544289339230.0272654428933923
8200.208115821852277-0.208115821852277
830-0.02726544289339230.0272654428933923
8410.253889799671470.74611020032853
850-0.009762963940702730.00976296394070273
860-0.02726544289339230.0272654428933923


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
8001
9001
10001
11001
12001
13001
14001
15001
16001
170.1803769461986850.3607538923973710.819623053801315
180.1376678480748880.2753356961497750.862332151925112
190.1145080688172050.229016137634410.885491931182795
200.4587569739106870.9175139478213740.541243026089313
210.3796648223555790.7593296447111590.620335177644421
220.3656168729694460.7312337459388920.634383127030554
230.2942359345938170.5884718691876350.705764065406183
240.2305963818211570.4611927636423150.769403618178843
250.2332289860694950.466457972138990.766771013930505
260.2346690757218220.4693381514436440.765330924278178
270.1932353436355160.3864706872710330.806764656364484
280.1612152881301090.3224305762602180.838784711869891
290.1274699087445220.2549398174890430.872530091255478
300.09608254752946780.1921650950589360.903917452470532
310.07030176218177310.1406035243635460.929698237818227
320.05019644170495260.1003928834099050.949803558295047
330.03536134099577090.07072268199154170.964638659004229
340.02501570747992880.05003141495985760.974984292520071
350.01674422144669210.03348844289338410.983255778553308
360.01093506515419050.02187013030838090.98906493484581
370.02324715124967740.04649430249935490.976752848750323
380.01772346662795430.03544693325590870.982276533372046
390.0115719232825420.0231438465650840.988428076717458
400.01019294598145980.02038589196291970.98980705401854
410.1628069577222040.3256139154444090.837193042277796
420.1417592428198640.2835184856397280.858240757180136
430.1093127586173630.2186255172347270.890687241382637
440.08971570694565590.1794314138913120.910284293054344
450.06662933537345980.133258670746920.93337066462654
460.04856068271393750.0971213654278750.951439317286062
470.03455267439650050.06910534879300110.965447325603499
480.02448834360631470.04897668721262950.975511656393685
490.01679219643449170.03358439286898350.983207803565508
500.01115167201961630.02230334403923270.988848327980384
510.02765681493509260.05531362987018520.972343185064907
520.08064715685231630.1612943137046330.919352843147684
530.06136844665179680.1227368933035940.938631553348203
540.3147955407754360.6295910815508730.685204459224564
550.2570498683486830.5140997366973670.742950131651317
560.4106596763957680.8213193527915360.589340323604232
570.3845762614447650.769152522889530.615423738555235
580.3283332226055090.6566664452110190.671666777394491
590.2767319279006140.5534638558012280.723268072099386
600.4688113876076430.9376227752152850.531188612392357
610.45315147621290.90630295242580.5468485237871
620.439527047731550.8790540954631010.56047295226845
630.3661993768301280.7323987536602560.633800623169872
640.3861813224546710.7723626449093410.613818677545329
650.3134037985407810.6268075970815630.686596201459219
660.2462269077596450.492453815519290.753773092240355
670.391797838394720.783595676789440.60820216160528
680.3128675350030060.6257350700060130.687132464996994
690.2413759888214430.4827519776428870.758624011178557
700.2486054607575440.4972109215150870.751394539242456
710.1819233724870660.3638467449741310.818076627512934
720.1269318279093020.2538636558186040.873068172090698
730.1303502364192250.2607004728384490.869649763580775
740.2348943278459490.4697886556918990.765105672154051
750.1598838221170940.3197676442341880.840116177882906
760.1000279987413660.2000559974827330.899972001258634
770.05778764890078820.1155752978015760.942212351099212
780.0507427748409230.1014855496818460.949257225159077


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level90.126760563380282NOK
5% type I error level180.253521126760563NOK
10% type I error level230.323943661971831NOK