Multiple Linear Regression - Estimated Regression Equation
total_sleep[t] = -0.00900208154294444 -3.72441341963713e-08body[t] + 2.46161008525863e-08brain[t] + 1.00092848893275slowwave[t] + 0.997987624777618paradoxical[t] -0.000325842902289568lifespan[t] + 5.94573591251674e-06gestation[t] + 0.0095473178732136predation[t] + 0.00590955874921987sleepexp.[t] -0.0115209272387338danger[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-0.009002081542944440.020359-0.44220.6616440.330822
body-3.72441341963713e-080-0.98980.3304370.165219
brain2.46161008525863e-0801.14540.2614030.130702
slowwave1.000928488932750.0010011000.143200
paradoxical0.9979876247776180.003398293.696400
lifespan-0.0003258429022895680.000302-1.07930.2893640.144682
gestation5.94573591251674e-065e-050.11790.9069290.453465
predation0.00954731787321360.006911.38170.1776120.088806
sleepexp.0.005909558749219870.0039191.5080.1423670.071183
danger-0.01152092723873380.00973-1.1840.2460250.123012


Multiple Linear Regression - Regression Statistics
Multiple R0.999995669987442
R-squared0.999991339993633
Adjusted R-squared0.99998865240545
F-TEST (value)372077.592243382
F-TEST (DF numerator)9
F-TEST (DF denominator)29
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.0163762195175650
Sum Squared Residuals0.00777723640493687


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
18.38.291720028920730.00827997107927139
23.93.90110558960408-0.00110558960407568
39.89.8100804412139-0.0100804412139085
419.719.69577282186430.00422717813570631
56.26.20609320578976-0.00609320578976078
614.514.49547765179370.00452234820627043
79.79.69378680515210.00621319484790134
812.512.42222763595060.0777723640493684
93.93.897229720286750.00277027971325233
108.48.395696142288310.00430385771169088
1110.710.69512789619350.00487210380645961
1210.710.7027234069998-0.0027234069998447
133.83.80889928095787-0.00889928095787298
1414.414.4047278349398-0.00472783493982172
156.26.20141642099895-0.00141642099895089
1613.813.8102278491646-0.0102278491645794
178.28.21366495168006-0.0136649516800653
182.92.894745937859840.0052540621401587
1919.919.9000061288625-6.12886249673201e-06
2087.995961475472920.00403852452707572
2113.213.2080371704689-0.00803717046885378
2219.419.4045589324673-0.00455893246731552
2317.417.4102512231270-0.010251223127047
241717.0066643934883-0.0066643934882688
2510.910.9111026263542-0.0111026263541683
2613.713.69647240920770.00352759079226147
278.48.398119406788080.00188059321191678
288.48.41035408472793-0.0103540847279327
2913.213.19423661519530.00576338480466837
309.89.795173825809050.00482617419095389
319.69.60584251120525-0.00584251120524597
326.66.60171070681266-0.00171070681265964
335.45.40020520841959-0.000205208419591209
343.83.80906312110523-0.00906312110522631
3513.313.29749959316090.00250040683905529
365.45.393503672456420.00649632754357749
3715.815.8150266151362-0.0150266151361960
3810.310.3033311305707-0.0033311305707203
3919.419.402155527505-0.00215552750498613


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
1312.11594465495877e-1821.05797232747939e-182
1416.26945300391241e-1913.13472650195621e-191
1515.22481740860646e-1812.61240870430323e-181
1617.31876007331515e-1633.65938003665757e-163
1713.62965043449936e-1551.81482521724968e-155
1814.30267848084242e-1392.15133924042121e-139
1913.24300765314171e-1311.62150382657085e-131
2011.63372475288249e-1158.16862376441247e-116
2113.34446835943484e-1031.67223417971742e-103
2212.65816720596003e-901.32908360298001e-90
2311.66526548015799e-758.32632740078997e-76
2416.3810386192272e-633.1905193096136e-63
2519.84038404540628e-534.92019202270314e-53
2611.4316862483047e-407.1584312415235e-41


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level141NOK
5% type I error level141NOK
10% type I error level141NOK