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 | |||||
Variable | Parameter | S.D. | T-STAT H0: parameter = 0 | 2-tail p-value | 1-tail p-value |
(Intercept) | -0.00900208154294444 | 0.020359 | -0.4422 | 0.661644 | 0.330822 |
body | -3.72441341963713e-08 | 0 | -0.9898 | 0.330437 | 0.165219 |
brain | 2.46161008525863e-08 | 0 | 1.1454 | 0.261403 | 0.130702 |
slowwave | 1.00092848893275 | 0.001001 | 1000.1432 | 0 | 0 |
paradoxical | 0.997987624777618 | 0.003398 | 293.6964 | 0 | 0 |
lifespan | -0.000325842902289568 | 0.000302 | -1.0793 | 0.289364 | 0.144682 |
gestation | 5.94573591251674e-06 | 5e-05 | 0.1179 | 0.906929 | 0.453465 |
predation | 0.0095473178732136 | 0.00691 | 1.3817 | 0.177612 | 0.088806 |
sleepexp. | 0.00590955874921987 | 0.003919 | 1.508 | 0.142367 | 0.071183 |
danger | -0.0115209272387338 | 0.00973 | -1.184 | 0.246025 | 0.123012 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.999995669987442 |
R-squared | 0.999991339993633 |
Adjusted R-squared | 0.99998865240545 |
F-TEST (value) | 372077.592243382 |
F-TEST (DF numerator) | 9 |
F-TEST (DF denominator) | 29 |
p-value | 0 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 0.0163762195175650 |
Sum Squared Residuals | 0.00777723640493687 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 8.3 | 8.29172002892073 | 0.00827997107927139 |
2 | 3.9 | 3.90110558960408 | -0.00110558960407568 |
3 | 9.8 | 9.8100804412139 | -0.0100804412139085 |
4 | 19.7 | 19.6957728218643 | 0.00422717813570631 |
5 | 6.2 | 6.20609320578976 | -0.00609320578976078 |
6 | 14.5 | 14.4954776517937 | 0.00452234820627043 |
7 | 9.7 | 9.6937868051521 | 0.00621319484790134 |
8 | 12.5 | 12.4222276359506 | 0.0777723640493684 |
9 | 3.9 | 3.89722972028675 | 0.00277027971325233 |
10 | 8.4 | 8.39569614228831 | 0.00430385771169088 |
11 | 10.7 | 10.6951278961935 | 0.00487210380645961 |
12 | 10.7 | 10.7027234069998 | -0.0027234069998447 |
13 | 3.8 | 3.80889928095787 | -0.00889928095787298 |
14 | 14.4 | 14.4047278349398 | -0.00472783493982172 |
15 | 6.2 | 6.20141642099895 | -0.00141642099895089 |
16 | 13.8 | 13.8102278491646 | -0.0102278491645794 |
17 | 8.2 | 8.21366495168006 | -0.0136649516800653 |
18 | 2.9 | 2.89474593785984 | 0.0052540621401587 |
19 | 19.9 | 19.9000061288625 | -6.12886249673201e-06 |
20 | 8 | 7.99596147547292 | 0.00403852452707572 |
21 | 13.2 | 13.2080371704689 | -0.00803717046885378 |
22 | 19.4 | 19.4045589324673 | -0.00455893246731552 |
23 | 17.4 | 17.4102512231270 | -0.010251223127047 |
24 | 17 | 17.0066643934883 | -0.0066643934882688 |
25 | 10.9 | 10.9111026263542 | -0.0111026263541683 |
26 | 13.7 | 13.6964724092077 | 0.00352759079226147 |
27 | 8.4 | 8.39811940678808 | 0.00188059321191678 |
28 | 8.4 | 8.41035408472793 | -0.0103540847279327 |
29 | 13.2 | 13.1942366151953 | 0.00576338480466837 |
30 | 9.8 | 9.79517382580905 | 0.00482617419095389 |
31 | 9.6 | 9.60584251120525 | -0.00584251120524597 |
32 | 6.6 | 6.60171070681266 | -0.00171070681265964 |
33 | 5.4 | 5.40020520841959 | -0.000205208419591209 |
34 | 3.8 | 3.80906312110523 | -0.00906312110522631 |
35 | 13.3 | 13.2974995931609 | 0.00250040683905529 |
36 | 5.4 | 5.39350367245642 | 0.00649632754357749 |
37 | 15.8 | 15.8150266151362 | -0.0150266151361960 |
38 | 10.3 | 10.3033311305707 | -0.0033311305707203 |
39 | 19.4 | 19.402155527505 | -0.00215552750498613 |
Goldfeld-Quandt test for Heteroskedasticity | |||
p-values | Alternative Hypothesis | ||
breakpoint index | greater | 2-sided | less |
13 | 1 | 2.11594465495877e-182 | 1.05797232747939e-182 |
14 | 1 | 6.26945300391241e-191 | 3.13472650195621e-191 |
15 | 1 | 5.22481740860646e-181 | 2.61240870430323e-181 |
16 | 1 | 7.31876007331515e-163 | 3.65938003665757e-163 |
17 | 1 | 3.62965043449936e-155 | 1.81482521724968e-155 |
18 | 1 | 4.30267848084242e-139 | 2.15133924042121e-139 |
19 | 1 | 3.24300765314171e-131 | 1.62150382657085e-131 |
20 | 1 | 1.63372475288249e-115 | 8.16862376441247e-116 |
21 | 1 | 3.34446835943484e-103 | 1.67223417971742e-103 |
22 | 1 | 2.65816720596003e-90 | 1.32908360298001e-90 |
23 | 1 | 1.66526548015799e-75 | 8.32632740078997e-76 |
24 | 1 | 6.3810386192272e-63 | 3.1905193096136e-63 |
25 | 1 | 9.84038404540628e-53 | 4.92019202270314e-53 |
26 | 1 | 1.4316862483047e-40 | 7.1584312415235e-41 |
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
Description | # significant tests | % significant tests | OK/NOK |
1% type I error level | 14 | 1 | NOK |
5% type I error level | 14 | 1 | NOK |
10% type I error level | 14 | 1 | NOK |