Table 2.
Logistic regression analysis for predicting fatigue after a resistance training protocol, using countermovement jump (CMJ) height as a fatigue pattern.
| Model | B | Std Error | Wald | gl | p-value | Exp (B) | 95% CI for Exp (B) | |
|---|---|---|---|---|---|---|---|---|
| Inf | Sup | |||||||
| ∆ VL Vrd90 | −0.179 | 0.077 | 5.430 | 1 | 0.020 | 0.836 | 0.720 | 0.972 |
| Constant | −2.224 | 1.237 | 3.234 | 1 | 0.072 | 0.108 | ||
|
Model Summary G2 = 21.802; p = 0.001; X2HL= 0.475 p= 0.998; R2cs = 0.582; R2N = 0.798 | ||||||||
a. Dependent variable: Fatigue assessed by CMJ height.
b. Predictors: (Constant); ∆ VL Vrd90: relative change from pre- to post in vastus lateralis (VL) radial displacement velocity (Vrd90)