Multiple Linear Regression - Estimated Regression Equation
totaleslaap[t] = + 15.9045939067489 -1.6117594600388e-06gewicht[t] + 2.07321499875609e-06brein[t] -0.0477119610443166levensduur[t] -0.0119939929006805drachttijd[t] + 2.07493347685895`jager?`[t] + 0.313113835483447blootgesteldheidslaap[t] -3.84823801074653algemeengevaar[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)15.90459390674891.06849514.88500
gewicht-1.6117594600388e-062e-06-1.02570.3099930.154996
brein2.07321499875609e-062e-061.20040.2356470.117823
levensduur-0.04771196104431660.037131-1.2850.2047270.102363
drachttijd-0.01199399290068050.006433-1.86430.068150.034075
`jager?`2.074933476858950.8918922.32640.0240880.012044
blootgesteldheidslaap0.3131138354834470.5801450.53970.5917880.295894
algemeengevaar-3.848238010746531.107553-3.47450.0010670.000533


Multiple Linear Regression - Regression Statistics
Multiple R0.7741492855136
R-squared0.599307116261218
Adjusted R-squared0.543210112537789
F-TEST (value)10.6834068931013
F-TEST (DF numerator)7
F-TEST (DF denominator)50
p-value3.88024755659799e-08
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.11353581179839
Sum Squared Residuals484.705262567553


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
13.33.68999899105046-0.389998991050456
28.310.1914140735733-1.89141407357333
312.513.1435984413559-0.643598441355881
416.515.07274094992811.42725905007187
53.92.963491884229810.93650811577019
69.86.971827472786612.82817252721339
719.713.11808678187296.58191321812707
86.24.317347936985381.88265206301462
914.512.71371607959451.78628392040553
109.710.1283320149894-0.428332014989438
1112.510.47472154879912.02527845120087
123.93.92947137386328-0.0294713738632782
1310.312.6760735039865-2.37607350398647
143.12.88447145371270.215528546287296
158.413.7761513799776-5.37615137997759
168.610.3097777530945-1.70977775309451
1710.712.2014480291106-1.50144802911059
1810.711.0590947196399-0.359094719639937
196.113.169319049961-7.06931904996099
2018.114.18164432833143.91835567166857
213.86.06812870273344-2.26812870273344
2214.414.370124638420.0298753615799922
231210.99426951604891.00573048395112
246.29.93309799777611-3.73309799777611
251313.1050418578521-0.105041857852073
2613.814.2907143408769-0.490714340876903
278.210.6571747859795-2.45717478597949
282.92.897137737566020.00286226243397486
2910.812.3405747996848-1.54057479968481
309.111.1306152551359-2.03061525513585
3119.912.69961700043337.20038299956674
3289.10752571126701-1.107525711267
3310.616.1657363465449-5.56573634654488
3411.210.37268162625780.827318373742169
3513.212.59216426918930.607835730810676
3612.812.5174845151160.282515484884019
3719.416.1471702285843.25282977141597
3817.414.78667935421042.61332064578961
391710.76464403014976.23535596985029
4010.97.283372837178033.61662716282197
4113.711.867968902231.83203109776997
428.47.460019864806180.939980135193815
438.47.394067838844281.00593216115572
4412.511.64929589427720.850704105722814
4513.210.4256127299522.77438727004801
469.813.4508025938991-3.65080259389908
479.610.3068101598763-0.706810159876341
486.69.97707971564237-3.37707971564237
495.48.26372298805175-2.86372298805175
502.66.17312546195823-3.57312546195823
513.86.11166824058929-2.31166824058929
521111.3224699678569-0.322469967856933
5310.314.5811134059542-4.28111340595419
5413.311.74214418413021.55785581586985
555.48.16343287816573-2.76343287816572
5615.814.40286767284021.39713232715977
5710.36.200384901232684.09961509876732
5819.416.21072928184623.18927071815378


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.6147558946165750.770488210766850.385244105383425
120.4674998278093160.9349996556186330.532500172190684
130.4062865059515060.8125730119030120.593713494048494
140.278116026390830.5562320527816610.721883973609169
150.4495185509074530.8990371018149070.550481449092547
160.5349281783124830.9301436433750350.465071821687517
170.4439300811008370.8878601622016740.556069918899163
180.3392573871330520.6785147742661050.660742612866948
190.8183198865951280.3633602268097450.181680113404872
200.8727105924465130.2545788151069740.127289407553487
210.8305160829511980.3389678340976040.169483917048802
220.7658251565221580.4683496869556830.234174843477842
230.7050570126318020.5898859747363960.294942987368198
240.7772059101439310.4455881797121390.222794089856069
250.7095072084658460.5809855830683070.290492791534154
260.6591560070878610.6816879858242770.340843992912139
270.6346220245674740.7307559508650530.365377975432526
280.6043998942482570.7912002115034850.395600105751743
290.5617940447462330.8764119105075340.438205955253767
300.505717918656370.9885641626872610.49428208134363
310.6624095433543390.6751809132913230.337590456645661
320.5910289949235130.8179420101529740.408971005076487
330.7188638606650850.5622722786698290.281136139334915
340.6858619366615640.6282761266768730.314138063338436
350.6023932448155770.7952135103688460.397606755184423
360.51043306565740.97913386868520.4895669343426
370.4741981794592680.9483963589185360.525801820540732
380.4063456075181140.8126912150362280.593654392481886
390.6313683851766180.7372632296467650.368631614823382
400.731142691823180.5377146163536410.26885730817682
410.6401058792252580.7197882415494830.359894120774742
420.5454031317300190.9091937365399630.454596868269981
430.4529240063744880.9058480127489760.547075993625512
440.3337698717650240.6675397435300470.666230128234977
450.3524589396267520.7049178792535040.647541060373248
460.3026858108434340.6053716216868680.697314189156566
470.1939764464691970.3879528929383940.806023553530803


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