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. 2018 Aug 23;9:1184. doi: 10.3389/fphys.2018.01184

Table 4.

Multiple linear regression models of energy expenditure during cold conditions and cold induced thermogenesis.

EEcold – full model

EEcold COLD_EE ∼ TempMax7d + Weight + Height + Sex + Age

Coefficients Estimate Standard error t-value P
(Intercept) -1862.139 906.388 -2.054 0.04518
TempMax7d -16.167 3.449 -4.688 2.16e-05∗∗∗
Weight 5.813 5.247 1.108 0.27319
Height 20.318 5.850 3.473 0.00107∗∗
Sex (male) 215.156 106.025 2.029 0.04777
Age -6.222 5.266 -1.181 0.24299

Multiple R2 = 0.7041.

EEcold – reduced model

EEcold COLD_EE ∼ TempMax7d + Weight + Height + Sex + Age

(Intercept) -2367.601 822.364 -2.879 0.00578∗∗
TempMax7d -16.410 3.426 -4.790 1.43e-05∗∗∗
Height 24.443 4.874 5.015 6.54e-06∗∗∗
Sex (male) 264.818 90.200 2.936 0.00494∗∗

Multiple R2 = 0.6932.

CIT – full model

CIT CIT ∼ TempMax7d + Weight + Height + Sex + Age

(Intercept) -1581.082 618.769 -2.555 0.013702
TempMax7d -9.878 2.354 -4.196 0.000111∗∗∗
Weight -5.304 3.582 -1.481 0.144931
Height 12.691 3.994 3.178 0.002545∗∗
Sex (male) -30.836 72.381 -0.426 0.671917
Age 1.667 3.595 0.464 0.644896

Multiple R2 = 0.3457.

CIT – reduced model

CIT CIT ∼ TempMax7d + Weight + Height
(Intercept) -1347.063 501.537 -2.686 0.00969∗∗
TempMax7d -9.891 2.319 -4.266 8.44e-05∗∗∗
Weight -5.398 2.737 -1.972 0.05391
Height 11.524 3.521 3.272 0.00190∗∗

Multiple R2 = 0.3399. p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001.