Multiple Linear Regression - Estimated Regression Equation
UseLimit[t] = + 0.32455537644354 -0.0269945297428715T20[t] + 0.365952273988531Used[t] + 0.00372611717449325CorrectAnalysis[t] + 0.0106498242646865Useful[t] -0.0933511270843794`Outcome\r`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.324555376443540.0843493.84780.0002840.000142
T20-0.02699452974287150.155419-0.17370.8626760.431338
Used0.3659522739885310.1682462.17510.0334450.016722
CorrectAnalysis0.003726117174493250.3217850.01160.9907980.495399
Useful0.01064982426468650.165170.06450.9487970.474399
`Outcome\r`-0.09335112708437940.128349-0.72730.4697660.234883


Multiple Linear Regression - Regression Statistics
Multiple R0.326701993131307
R-squared0.106734192315969
Adjusted R-squared0.0346966271801598
F-TEST (value)1.48164630654503
F-TEST (DF numerator)5
F-TEST (DF denominator)62
p-value0.208714562809699
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.481006974170742
Sum Squared Residuals14.3447979704553


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110.2312042493591610.768795750640839
210.570161993604820.42983800639518
300.32455537644354-0.32455537644354
400.231204249359161-0.231204249359161
500.335205200708227-0.335205200708227
610.2975608467006690.702439153299331
710.3352052007082270.664794799291773
800.32455537644354-0.32455537644354
900.297560846700669-0.297560846700669
1000.231204249359161-0.231204249359161
1110.2975608467006690.702439153299331
1200.32455537644354-0.32455537644354
1310.324555376443540.67544462355646
1400.231204249359161-0.231204249359161
1510.2312042493591610.768795750640839
1600.32455537644354-0.32455537644354
1700.32455537644354-0.32455537644354
1800.32455537644354-0.32455537644354
1900.663513120689199-0.663513120689199
2000.32455537644354-0.32455537644354
2100.32455537644354-0.32455537644354
2210.66351312068920.3364868793108
2300.32455537644354-0.32455537644354
2410.324555376443540.67544462355646
2510.6741629449538860.325837055046114
2600.297560846700669-0.297560846700669
2700.690507650432071-0.690507650432071
2810.66351312068920.3364868793108
2910.324555376443540.67544462355646
3000.32455537644354-0.32455537644354
3110.2312042493591610.768795750640839
3210.324555376443540.67544462355646
3300.32455537644354-0.32455537644354
3400.231204249359161-0.231204249359161
3510.324555376443540.67544462355646
3600.32455537644354-0.32455537644354
3710.66351312068920.3364868793108
3800.607806347612378-0.607806347612378
3900.231204249359161-0.231204249359161
4000.297560846700669-0.297560846700669
4100.335205200708227-0.335205200708227
4200.231204249359161-0.231204249359161
4300.32455537644354-0.32455537644354
4400.231204249359161-0.231204249359161
4510.324555376443540.67544462355646
4610.2312042493591610.768795750640839
4710.6905076504320710.309492349567929
4800.32455537644354-0.32455537644354
4900.32455537644354-0.32455537644354
5000.32455537644354-0.32455537644354
5110.6078063476123780.392193652387622
5210.5808118178695070.419188182130493
5300.297560846700669-0.297560846700669
5400.32455537644354-0.32455537644354
5500.600882640522185-0.600882640522185
5600.57016199360482-0.57016199360482
5710.324555376443540.67544462355646
5800.241854073623847-0.241854073623847
5900.335205200708227-0.335205200708227
6000.204209719616289-0.204209719616289
6100.663513120689199-0.663513120689199
6200.297560846700669-0.297560846700669
6310.324555376443540.67544462355646
6400.241854073623847-0.241854073623847
6500.231204249359161-0.231204249359161
6610.6942337676065640.305766232393436
6710.7048835918712510.295116408128749
6810.6905076504320710.309492349567929


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.900552278717780.198895442564440.0994477212822201
100.8571339270485270.2857321459029450.142866072951473
110.8343261744442080.3313476511115850.165673825555792
120.7490071498225530.5019857003548940.250992850177447
130.8616826454732720.2766347090534560.138317354526728
140.8121084329233240.3757831341533520.187891567076676
150.8599929227398310.2800141545203380.140007077260169
160.812580170012380.3748396599752390.187419829987619
170.7557834259976620.4884331480046770.244216574002338
180.6916411643781280.6167176712437440.308358835621872
190.7003619716717470.5992760566565060.299638028328253
200.6328834748134450.7342330503731110.367116525186555
210.5636329987471110.8727340025057780.436367001252889
220.5699230206478960.8601539587042080.430076979352104
230.5045641996915910.9908716006168180.495435800308409
240.6397170210741250.720565957851750.360282978925875
250.5840931344019440.8318137311961120.415906865598056
260.5778019316491150.8443961367017710.422198068350885
270.6055669802745490.7888660394509010.394433019725451
280.5805467329427840.8389065341144320.419453267057216
290.678347064037060.6433058719258790.32165293596294
300.6342982049796190.7314035900407620.365701795020381
310.7126117212525020.5747765574949970.287388278747498
320.7876794578145280.4246410843709440.212320542185472
330.7534772182468340.4930455635063310.246522781753166
340.7216587174710410.5566825650579180.278341282528959
350.7905636050420280.4188727899159450.209436394957972
360.7563062443598530.4873875112802950.243693755640147
370.7363239957587870.5273520084824250.263676004241212
380.7947658976691760.4104682046616480.205234102330824
390.7528849120454390.4942301759091220.247115087954561
400.727399260795970.5452014784080590.27260073920403
410.6995634751787270.6008730496425460.300436524821273
420.6439749415997730.7120501168004540.356025058400227
430.6047736485045150.7904527029909710.395226351495485
440.5450009762133380.9099980475733240.454999023786662
450.6174837660923960.7650324678152070.382516233907604
460.7841482219079280.4317035561841450.215851778092072
470.7381201069673770.5237597860652460.261879893032623
480.6891231255771550.621753748845690.310876874422845
490.6417612511406740.7164774977186520.358238748859326
500.6024295239420690.7951409521158620.397570476057931
510.5464608746248350.907078250750330.453539125375165
520.7820439872797420.4359120254405160.217956012720258
530.710260512540250.5794789749195010.28973948745975
540.8151681117656290.3696637764687410.184831888234371
550.8948191697896130.2103616604207750.105180830210387
560.8482365693294130.3035268613411740.151763430670587
570.8095212257778820.3809575484442360.190478774222118
580.6874700924980.6250598150040.312529907502
590.6691418790720060.6617162418559880.330858120927994


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