Covariate analysis is a statistical technique used to examine the influence of one or more continuous variables (covariates) on the outcome of interest, while adjusting for the effect of these variables in a given model. This approach helps to improve the accuracy and interpretability of the model by accounting for potential confounding factors, thus providing a clearer understanding of the primary relationships between the dependent and independent variables.