In recent years, the second-hand market in Electronic Commerce (EC) platforms has grown. The trading second-hand product enables to protect the environment by conserving natural resources, reducing production costs of the equivalent new products, and preventing the second-hand products from becoming waste. On the other hand, it is difficult for the second-hand products to determine the selling price. In order to evaluate the selling price of the second-hand products without personal bias, it is necessary to predict prices based on objective information such as specifications and quality about the second-hand product. Hedonic regression is well known to use the prediction for the values such as real property and product. This approach is expected to objectively determine prices based on the multiple factors, such as specifications and quality, which are inherent in second-hand product. This study proposes the hedonic regression model for the second-hand laptops on EC platform. First, proposed hedonic regression procedures are illustrated for predicting the selling prices of the second-hand laptops. Second, the hedonic regression model is formulated using specification information and quality information. Third, the data processing process is described based on exploratory data analysis. Finally, the proposed regression model is analyzed and discussed.