Cardiopulmonary exercise testing (CPET) characteristics for cyclists.
REGRESSION
CI, 95% confidence interval; SD, standard deviation; rVOAfter selection variables were included in the further analysis, only selected parameters were put into multiple linear regression (MLR) modelling. The data for MLR model building were randomly distributed into sets, that is derivation, testing, validation representing 60%, 20%, and 20% of the cases, respectively. As a result, only significant predictors (with p<0.05) were included in the final models. Derived equations are characterised by the coefficient of determination (RGgplot 2 package in RStudio (R Core Team, Vienna, Austria; version 3.6.4), GraphPad Prism (GraphPad Software; San Diego, CA, USA; version 9.0.0 for Mac OS), and STATA software (StataCorp, College Station, TX, USA; version 15.1) were used in statistical analysis. A two-sided p-value <0.05 was considered as the significance borderline.