Multiple Linear Regression - Estimated Regression Equation
SWS[t] = -154.896579262522 -0.000214879855393930Wbo[t] + 0.000190551747684777Wbr[t] + 0.190856174661067Lifeyears[t] -0.227222894392210Gestation[t] -46.3886594812592Predation[t] -138.680678623493Sleep_exposure[t] + 159.915106041459overall_danger[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-154.896579262522123.516796-1.25410.2152240.107612
Wbo-0.0002148798553939300.00017-1.26410.2116180.105809
Wbr0.0001905517476847770.0001711.11560.269540.13477
Lifeyears0.1908561746610670.2239890.85210.3979350.198967
Gestation-0.2272228943922100.200783-1.13170.2627670.131384
Predation-46.3886594812592102.230655-0.45380.6518170.325908
Sleep_exposure-138.68067862349364.537688-2.14880.0361480.018074
overall_danger159.915106041459130.6710791.22380.2263410.113171


Multiple Linear Regression - Regression Statistics
Multiple R0.408946732766345
R-squared0.167237430240269
Adjusted R-squared0.059286726752896
F-TEST (value)1.54920185638096
F-TEST (DF numerator)7
F-TEST (DF denominator)54
p-value0.170796471299805
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation411.987995727557
Sum Squared Residuals9165641.86567492


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1-999-988.291326256213-10.7086737437870
26.339.3603346954103-33.0603346954103
3-999-183.260014082628-815.739985917372
4-999-379.715859365304-619.284140634696
52.1-146.612833802367148.712833802367
69.1-259.323455555434268.423455555434
715.8-184.377293087696200.177293087696
85.2-479.641064535542484.841064535542
910.9-323.533538187578334.433538187578
108.3-150.134632579016158.434632579016
1111-324.795698085012335.795698085012
123.2-358.107431150887361.307431150887
137.6-29.736805743682237.3368057436822
14-999-316.332687709987-682.667312290013
156.3-188.697530297742194.997530297742
168.6-197.905321573101206.505321573101
176.6-212.936505469406219.536505469406
189.5-229.534170737247239.034170737247
194.8-82.215033524637787.0150335246377
201250.8227536334598-38.8227536334598
21-999-350.309179523105-648.690820476895
223.3-294.509730272263297.809730272263
2311-115.613725513871126.613725513871
24-999-612.968489425477-386.031510574523
254.7-476.361632384215481.061632384215
26-999-176.309634941147-822.690365058853
2710.4-49.657587351093660.0575873510936
287.4-176.397578702052183.797578702053
292.1-335.376257987073337.476257987073
30-999-190.069283605512-808.930716394488
31-999-349.042823594339-649.957176405661
327.7-28.929850322438036.6298503224380
3317.9-186.831362364422204.731362364422
346.116.5720492470536-10.4720492470536
358.2-423.349847097535431.549847097535
368.4-152.634885588007161.034885588007
3711.9-3.0930016427500914.9930016427501
3810.8-5.8214996012763816.6214996012764
3913.8-227.376684410232241.176684410232
4014.3-251.159773617727265.459773617727
41-999-336.491214872504-662.508785127496
4215.2-231.772525561303246.972525561303
4310-270.521452404409280.521452404409
4411.9-66.081839141821777.9818391418217
456.5-283.448641307327289.948641307327
467.5-282.507761652749290.007761652749
47-999-210.357132453648-788.642867546352
4810.643.4894131874954-32.8894131874954
497.4-181.302219426813188.702219426813
508.4-342.967867808858351.367867808858
515.7-252.650576068098258.350576068098
524.9-138.430591797229143.330591797229
53-999-295.981105401431-703.018894598569
543.2-289.740549268520292.940549268520
55-999-221.150165417705-777.849834582295
568.1114.941182717149-106.841182717149
5711-78.803644491063589.8036444910635
584.94.90295101183433-0.00295101183432789
5913.2-261.130629788983274.330629788983
609.7-149.817433751086159.517433751086
6112.8-229.056950482491241.856950482491
62-999-276.612353708348-722.387646291652


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.7655810120460110.4688379759079780.234418987953989
120.649256382280770.701487235438460.35074361771923
130.5474259880088750.905148023982250.452574011991125
140.8415579910554390.3168840178891220.158442008944561
150.774724779778840.4505504404423190.225275220221160
160.687484901394150.62503019721170.31251509860585
170.5969349882697570.8061300234604860.403065011730243
180.5171281303089940.9657437393820110.482871869691006
190.5190412662002810.9619174675994370.480958733799719
200.433502314262010.867004628524020.56649768573799
210.5641568362810080.8716863274379830.435843163718992
220.5036039051459440.9927921897081120.496396094854056
230.4418254179222680.8836508358445370.558174582077732
240.4502113345603980.9004226691207960.549788665439602
250.4770499952435530.9540999904871050.522950004756447
260.676507046594640.6469859068107190.323492953405359
270.6015348097607990.7969303804784020.398465190239201
280.5262964575141780.9474070849716430.473703542485822
290.5436777361916020.9126445276167960.456322263808398
300.6795369005760380.6409261988479240.320463099423962
310.7744187037253070.4511625925493850.225581296274693
320.7096530905511360.5806938188977270.290346909448864
330.651542424049580.6969151519008390.348457575950420
340.5975799764342510.8048400471314980.402420023565749
350.600762785124350.79847442975130.39923721487565
360.5317669542570990.9364660914858020.468233045742901
370.4477588077299850.895517615459970.552241192270015
380.368572453148130.737144906296260.63142754685187
390.3122456116645530.6244912233291060.687754388335447
400.2724617627612490.5449235255224980.727538237238751
410.3662494093084540.7324988186169080.633750590691546
420.3172057768179750.6344115536359490.682794223182025
430.2604060274639520.5208120549279030.739593972536048
440.1955576090766490.3911152181532980.804442390923351
450.1533456632739850.306691326547970.846654336726015
460.2971319560197470.5942639120394930.702868043980253
470.405283319830980.810566639661960.59471668016902
480.3143086916015030.6286173832030050.685691308398497
490.2180541302408110.4361082604816220.781945869759189
500.1352745591006890.2705491182013780.864725440899311
510.1010298389275940.2020596778551880.898970161072406


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