The article explores how crop yields and prices in Poland are related using a copula function. By comparing different distributions, the researchers found that a Gaussian copula with specific marginal distributions best fits the data. This method allows for more flexibility in modeling and can capture complex relationships between yields and prices. The study shows that choosing the right joint distribution can help predict income more accurately based on crop structure.