The objectives of this investigation were to establish the correlation among variables, quantify the magnitudes of the direct and indirect effects of independent variables on the response variable, and model the relationships and predict carcass variables using a regression model. Day-old, healthy Boschveld chicks were reared intensively for 91 days. The birds were offered commercial broiler starter and grower diets ad libitum. Fifteen randomly selected chickens were slaughtered by cervical dislocation. The weights of the live chickens and carcass variables were recorded. Descriptive statistics, Pearson correlation coefficients, direct and indirect path coefficients, and simple linear regression functions were computed. A regression line was added to determine the best fit for the observed data and the relationship between the predicted and independent variables. The regression line intersected the data and showed that body weight had a positive influence on the weight of the observed variables. A very strong positive correlation was noted between body and carcass weights (r = 0.98). The direct and indirect coefficient effects ranged from -0.01 to 0.79 and -0.04 to 0.70, respectively. The coefficient for determination the prediction equations ranged from 0.52 to 0.96. Body weight is a good predictor of carcass weight in Boschveld chickens.