The article explores factors influencing scientific productivity in different countries. By analyzing data from 19 countries over 17 years, the study found that economic investment in research and development, along with the number of researchers, significantly impact scientific output. The researchers used a statistical model to predict how changes in these factors can lead to increased scientific production. The study emphasizes the importance of considering statistical assumptions when using regression analysis and provides a tool for decision-makers to compare countries and plan future scientific policies.