Table 2.
Multiple regression using the stepwise method for measured parameters as a dependent variable.
Dependent Variable | Predictor Variable | Coefficient | p Value | Adjusted R2 | 95% CI | |
---|---|---|---|---|---|---|
Lower | Upper | |||||
MDA | IF γ | 0.005 | 0.000 | 0.950 | 0.004 | 0.006 |
K+ | GSH | 0.134 | 0.000 | 0.887 | 0.110 | 0.159 |
CK | −0.017 | 0.010 | −0.029 | −0.005 | ||
CK | K+ | −16.297 | 0.000 | 0.922 | −22.599 | −9.996 |
Catalase | 10.859 | 0.000 | 6.435 | 15.283 | ||
GST | −3.047 | 0.021 | −5.552 | −0.542 | ||
IF γ | MDA | 187.386 | 0.000 | 0.950 | 165.202 | 209.569 |
Serotonin | Caspase-3 | −0.076 | 0.000 | 0.950 | −0.085 | −0.067 |
Dopamine | Caspase-3 | −0.192 | 0.000 | 0.958 | −0.222 | −0.163 |
GST | 0.202 | 0.005 | 0.072 | 0.331 | ||
Caspase-3 | Serotonin | −5.793 | 0.002 | 0.984 | −9.090 | −2.495 |
Dopamine | −0.800 | 0.209 | −2.107 | 0.507 | ||
MDA | 82.120 | 0.000 | 44.826 | 119.413 | ||
K+ | −2.005 | 0.011 | −3.478 | −0.532 |
p values of ≤0.05 were considered significant.