Multiple Linear Regression - Estimated Regression Equation
totaleslaap[t] = + 1.87745133728524e-15 + 9.16828732161248e-22gewicht[t] -6.87308719994364e-22brein[t] + 1nietdroomslaap[t] + 1droomslaap[t] -1.15260644167245e-18levensduur[t] -7.78787220781508e-19drachttijd[t] -5.06028711944949e-16`jager?`[t] -6.44082534171308e-17blootgesteldheidslaap[t] + 6.07947647197926e-16algemeengevaar[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1.87745133728524e-1502.37110.0217960.010898
gewicht9.16828732161248e-2201.79160.0794990.03975
brein-6.87308719994364e-220-1.19750.2369730.118487
nietdroomslaap102033204309558681200
droomslaap10761208610605745000
levensduur-1.15260644167245e-180-0.09570.9241540.462077
drachttijd-7.78787220781508e-190-0.3780.7070930.353547
`jager?`-5.06028711944949e-160-1.76080.0846440.042322
blootgesteldheidslaap-6.44082534171308e-170-0.34870.728840.36442
algemeengevaar6.07947647197926e-1601.56180.1248970.062449


Multiple Linear Regression - Regression Statistics
Multiple R1
R-squared1
Adjusted R-squared1
F-TEST (value)1.48722091132806e+32
F-TEST (DF numerator)9
F-TEST (DF denominator)48
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation9.50657450922362e-16
Sum Squared Residuals4.33799802717217e-29


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
13.33.32.4747738302588e-17
28.38.31.09596320966071e-15
312.512.5-1.4844125855025e-15
416.516.5-2.26430571293037e-15
53.93.9-1.74413261592083e-17
69.89.81.09032713522583e-15
719.719.7-7.85102731999677e-16
86.26.2-2.86959031702555e-17
914.514.54.59428203856263e-16
109.79.7-1.43152652002785e-15
1112.512.55.4261923356019e-16
123.93.9-6.80984143013941e-16
1310.310.34.2485061303566e-16
143.13.11.67477162986798e-16
158.48.43.70428840103562e-16
168.68.65.48777172152649e-17
1710.710.7-2.04760788206702e-16
1810.710.7-7.01078067641709e-16
196.16.1-4.78816322370482e-17
2018.118.19.8666513493972e-16
213.83.89.07068833474954e-16
2214.414.46.14561119461555e-16
231212-7.54258101425585e-17
246.26.26.31786788357046e-16
251313-5.95378069212425e-16
2613.813.81.77416607796975e-15
278.28.2-7.77109558177059e-16
282.92.91.80911633996288e-16
2910.810.87.43419221395734e-16
309.19.1-5.40398273106537e-16
3119.919.96.52052393055315e-16
32882.12740422439388e-16
3310.610.67.54068807017155e-16
3411.211.2-1.21068631237918e-15
3513.213.2-5.1158997982762e-16
3612.812.8-3.05286383277732e-18
3719.419.4-3.98716845447123e-16
3817.417.4-1.58513127636239e-15
3917178.63708329508363e-16
4010.910.94.4620973848018e-16
4113.713.7-1.81958861107526e-15
428.48.4-2.0991060913569e-16
438.48.4-4.76831219919402e-16
4412.512.52.8933716613408e-19
4513.213.2-1.32863660054785e-16
469.89.83.61434499358546e-16
479.69.6-6.49147840738593e-16
486.66.6-8.5274476982338e-16
495.45.43.92097980125921e-16
502.62.6-1.78084204360903e-15
513.83.84.45453065067769e-16
5211117.88827602015845e-17
5310.310.31.06547551147046e-15
5413.313.39.63466435746407e-16
555.45.41.02211808378546e-16
5615.815.81.89370121486091e-15
5710.310.31.05610533316921e-15
5819.419.4-9.15891458547372e-17


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
130.4198078908084150.839615781616830.580192109191585
140.44536303080520.89072606161040.5546369691948
150.1490777555642150.298155511128430.850922244435785
160.424554287774070.849108575548140.57544571222593
170.03696794987695640.07393589975391280.963032050123044
180.1297031937783350.259406387556670.870296806221665
190.1581573978772970.3163147957545930.841842602122703
200.6823403311113560.6353193377772890.317659668888644
210.0584768214030780.1169536428061560.941523178596922
220.06534789701027450.1306957940205490.934652102989725
230.4941835600470620.9883671200941240.505816439952938
240.05041057757319210.1008211551463840.949589422426808
250.1658697167435990.3317394334871980.834130283256401
260.1215999648932650.2431999297865310.878400035106735
270.6092240578437360.7815518843125280.390775942156264
280.0006532464481099310.001306492896219860.99934675355189
290.1778410800200220.3556821600400440.822158919979978
300.64469945341250.7106010931750.3553005465875
310.003507867978270890.007015735956541790.996492132021729
320.3572698977623380.7145397955246760.642730102237662
330.284448258082630.568896516165260.71555174191737
340.03848936189056010.07697872378112030.96151063810944
350.1049429318644350.2098858637288690.895057068135565
360.005116870069649290.01023374013929860.99488312993035
370.04494305777983710.08988611555967420.955056942220163
383.35472092882483e-056.70944185764966e-050.999966452790712
390.03392241342925460.06784482685850910.966077586570745
400.5434236944945650.913152611010870.456576305505435
410.9943555783024130.01128884339517390.00564442169758696
420.4297695400608360.8595390801216720.570230459939164
430.01331111887729980.02662223775459950.9866888811227
440.02581924076644720.05163848153289440.974180759233553
450.4037555624598220.8075111249196430.596244437540178


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level30.090909090909091NOK
5% type I error level60.181818181818182NOK
10% type I error level110.333333333333333NOK