Multiple Linear Regression - Estimated Regression Equation
Useful[t] = + 0.111729023741186 + 0.00629593899987754UseLimit[t] -0.138029801176158T20[t] + 0.227442289714741Used[t] -0.0391823642027483CorrectAnalysis[t] + 0.0874412742407092Outcome[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.1117290237411860.0707751.57860.1195070.059753
UseLimit0.006295938999877540.0976450.06450.9487970.474399
T20-0.1380298011761580.118235-1.16740.2475130.123756
Used0.2274422897147410.131061.73540.0876380.043819
CorrectAnalysis-0.03918236420274830.247364-0.15840.8746570.437328
Outcome0.08744127424070920.0984810.88790.3780270.189013


Multiple Linear Regression - Regression Statistics
Multiple R0.283343804208829
R-squared0.0802837113835311
Adjusted R-squared0.0061130429467191
F-TEST (value)1.0824186039516
F-TEST (DF numerator)5
F-TEST (DF denominator)62
p-value0.378968178824583
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.369837043248069
Sum Squared Residuals8.48032519062538


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
100.205466236981772-0.205466236981772
200.294878725520356-0.294878725520356
300.111729023741186-0.111729023741186
400.199170297981894-0.199170297981894
510.1117290237411860.888270976258814
60-0.02000483843509480.0200048384350948
710.1180249627410630.881975037258937
800.111729023741185-0.111729023741185
90-0.02630077743497240.0263007774349724
1000.199170297981895-0.199170297981895
110-0.02000483843509480.0200048384350948
1200.111729023741185-0.111729023741185
1300.118024962741063-0.118024962741063
1400.199170297981895-0.199170297981895
1500.205466236981772-0.205466236981772
1600.111729023741185-0.111729023741185
1700.111729023741185-0.111729023741185
1800.111729023741185-0.111729023741185
1900.201141512279769-0.201141512279769
2000.111729023741185-0.111729023741185
2100.111729023741185-0.111729023741185
2200.207437451279647-0.207437451279647
2300.111729023741185-0.111729023741185
2400.118024962741063-0.118024962741063
2510.2074374512796470.792562548720353
260-0.02630077743497240.0263007774349724
2700.339171313455927-0.339171313455927
2800.207437451279647-0.207437451279647
2900.118024962741063-0.118024962741063
3000.111729023741185-0.111729023741185
3100.205466236981772-0.205466236981772
3200.118024962741063-0.118024962741063
3300.111729023741185-0.111729023741185
3400.199170297981895-0.199170297981895
3500.118024962741063-0.118024962741063
3600.111729023741185-0.111729023741185
3700.207437451279647-0.207437451279647
3810.4266125876966360.573387412303364
3900.199170297981895-0.199170297981895
400-0.02630077743497240.0263007774349724
4110.1117290237411860.888270976258814
4200.199170297981895-0.199170297981895
4300.111729023741185-0.111729023741185
4400.199170297981895-0.199170297981895
4500.118024962741063-0.118024962741063
4600.205466236981772-0.205466236981772
4700.345467252455804-0.345467252455804
4800.111729023741185-0.111729023741185
4900.111729023741185-0.111729023741185
5000.111729023741185-0.111729023741185
5110.4329085266965140.567091473303486
5210.2948787255203560.705121274479644
530-0.02630077743497240.0263007774349724
5400.111729023741185-0.111729023741185
5500.387430223493888-0.387430223493888
5600.288582786520478-0.288582786520478
5700.118024962741063-0.118024962741063
5810.1991702979818950.800829702018105
5910.1117290237411860.888270976258814
6000.0611404968057368-0.0611404968057368
6100.201141512279769-0.201141512279769
620-0.02630077743497240.0263007774349724
6300.118024962741063-0.118024962741063
6410.1991702979818950.800829702018105
6500.199170297981895-0.199170297981895
6600.306284888253056-0.306284888253056
6710.3062848882530560.693715111746944
6800.345467252455804-0.345467252455804


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.9119335059008780.1761329881982440.0880664940991221
100.8424577936091040.3150844127817910.157542206390896
110.7503222031000220.4993555937999570.249677796899978
120.7325053705764770.5349892588470450.267494629423523
130.767219231556110.465561536887780.23278076844389
140.6808913599178010.6382172801643980.319108640082199
150.5914173998090870.8171652003818260.408582600190913
160.5331233574289630.9337532851420740.466876642571037
170.4643996170446950.9287992340893910.535600382955305
180.3918727115650490.7837454231300980.608127288434951
190.3112537315524330.6225074631048650.688746268447567
200.2480557976493750.4961115952987490.751944202350625
210.1916174221124110.3832348442248230.808382577887589
220.1486037154994370.2972074309988740.851396284500563
230.1089292204197630.2178584408395270.891070779580237
240.08938357598120760.1787671519624150.910616424018792
250.2822090506350630.5644181012701260.717790949364937
260.2208825531517210.4417651063034420.779117446848279
270.2087394829194680.4174789658389360.791260517080532
280.1752087545773270.3504175091546550.824791245422673
290.1427272437312920.2854544874625830.857272756268708
300.1058419161604030.2116838323208050.894158083839597
310.07874608542131370.1574921708426270.921253914578686
320.05908582502313570.1181716500462710.940914174976864
330.04078883453465010.08157766906930020.95921116546535
340.03028719980627370.06057439961254740.969712800193726
350.02102136927731660.04204273855463330.978978630722683
360.01362903071614470.02725806143228940.986370969283855
370.009347241180778060.01869448236155610.990652758819222
380.03054844849112910.06109689698225830.969451551508871
390.02253873988017330.04507747976034670.977461260119827
400.01422078871863690.02844157743727370.985779211281363
410.08834327056757210.1766865411351440.911656729432428
420.07120226902132870.1424045380426570.928797730978671
430.04967215967072120.09934431934144250.950327840329279
440.04153633451049770.08307266902099540.958463665489502
450.02864564678209340.05729129356418690.971354353217907
460.03467738654859140.06935477309718280.965322613451409
470.03113345477813160.06226690955626320.968866545221868
480.02005640177651720.04011280355303440.979943598223483
490.0125548845339910.0251097690679820.987445115466009
500.007707616887088760.01541523377417750.992292383112911
510.009897970715362950.01979594143072590.990102029284637
520.05224744974542720.1044948994908540.947752550254573
530.03145435839086040.06290871678172080.96854564160914
540.04519274554886340.09038549109772670.954807254451137
550.1464897588322810.2929795176645630.853510241167719
560.09902280948913750.1980456189782750.900977190510863
570.0564856877057820.1129713754115640.943514312294218
580.06930625779463470.1386125155892690.930693742205365
590.06345167921382840.1269033584276570.936548320786172


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level90.176470588235294NOK
10% type I error level190.372549019607843NOK