Table 3.
Stepwise multiple regression | (t, p) | F (df) | p | R | R2 |
---|---|---|---|---|---|
Predictor variable | |||||
Invaspin (MetS+) | |||||
Model 1: age | (3.20, p = 0.002) | 10.22 (1.114) | p = 0.002 | 0.074 | 0.082 |
Model 2: age total body fat | (3.10, p = 0.002) (2.26, p = 0.026) |
7.86 (2.113) | p = 0.001 | 0.107 | 0.122 |
lnvaspin (NDT2D) | |||||
Model 1: total body fat | (2.45, p < 0.020) | 6.01 (1.33) | p = 0.020 | 0.403 | 0.162 |
lnvaspin (NGT) | |||||
Model 1: ln(RFa deep breathing) | (−3.16, p = 0.002) | 10.0 (1.68) | p = 0.002 | 0.358 | 0.128 |
lnvaspin (NGT – MetS) | |||||
Model 1: ln(RFa deep breathing) | (−2.99, p = 0.005) | 8.92 (1.33) | p = 0.005 | 0.461 | 0.213 |
lnvaspin (NGT + MetS) | |||||
Model 1: ln(LFa at rest) | (−2.31, p = 0.027) | 5.36 (1.33) | p = 0.027 | 0.374 | 0.140 |
ln—natural logarithmic transformation for skewed data distribution
Statistical significant values are presented in italics