The study deals with the dependencies between indicators characterising the colored matter in cherry wines as well as three technological parameters: pH, sulfur dioxide, and alcohol. The experiment has been established in accordance with the CCRD system (Central Composite Rotatable Design) considering each of three independent variables at five different levels. Second-order polynomial equation has been fitted to each qualitative trait. It has been found that fitted models – at 0.01 level – have sufficiently described the variability of the studied wine colour indices (WC), polymeric pigment colour (PPC), anthocyanin colour (AC), colour quality (T), and chemical age of wine (CAW). Determination coefficients R² for those traits have been higher than 0.55, therefore the variability of each trait has been in over 55% explained by the fitted model. Fitted regression models can be used to predict studied indicators characterising the colored matter at wines.