Table 5.
Multivariable linear regression models for IL-6 with time, condition and adrenaline as independent factors
Model 1 | Model 2 | |||
---|---|---|---|---|
Coefficient | p value | Coefficient | p value | |
Input variable | ||||
Time | 0.385 | < 0.001 | ||
Condition | n.s. | |||
Adrenaline | 0.560 | < 0.001 | 0.537 | < 0.001 |
R2 | 0.314 | 0.462 | ||
Adjusted R2 | 0.305 | 0.447 | ||
F value | 34.775 | < 0.001 | 32.147 | < 0.001 |
R2 change | 0.314 | 0.148 | ||
F change | 34.775 | < 0.001 | 20.567 | < 0.001 |
β values for significant predictors in each model are provided in the coefficient column
n.s. non-significant effect of this factor in any model
Logarithmic transformation of IL-6 and adrenaline were used