highly significantp = 1.04e-09
The higher the percentages of explanation of variation the better the variables in the models explain the redox parameters. The linear regression model for TAOS accounted for 24.9% of the variation. According to our analyses, highly significant predictors for TAOS were creatinine ( p = 1.04e-09), TG ( p = 1.05e-06), and PH ( p = 0.0006).