Book 879 Mathematical Models of Metallurgical Processes: Section. : Application of regression analysis for ranking factors" authored by A. G. Diaczko is a unique study that immerses the reader in the world of metallurgy, where accurate calculations and mathematical models become the key to understanding complex processes. This work is not only interesting for specialists in the field of metallurgy, but can also attract the attention of students, graduate students and anyone interested in the application of mathematical methods in engineering. In the book, the author examines in detail the use of regression analysis as a tool for ranking factors affecting metallurgical processes. This allows the reader to see how theoretical knowledge can be applied in practice. Diaczko shares his observations and conclusions based on many years of experience in this field, which makes the material especially valuable for practitioners. The reader will be able to learn how to interpret the data correctly and what factors are most significant in various metallurgical processes, such as smelting, casting and metal processing. The book will be especially useful for those working in the field of materials science, chemical technology and engineering. Students and graduate students studying metallurgy and related disciplines will find in it a lot of useful information that will help them in scientific and practical activities. It may also be of interest to researchers engaged in mathematical modeling and data analysis, because the author offers the reader not only theoretical aspects, but also practical examples of the use of regression analysis. The topics raised in the book cover a wide range of issues related to the optimization of metallurgical processes. Diaczko emphasizes the importance of accuracy and reliability of mathematical models, which can significantly affect the quality of the final product. It explores how different factors, such as temperature, alloy composition, and cooling rate, can interact with each other, and how this interaction can be modeled using regression analysis. This makes the book relevant not only for metallurgists, but also for everyone who is interested in modern methods of analysis and optimization of production processes. The author's style is clear and accessible, which allows even those who are not specialists in mathematics to easily assimilate complex concepts. Diaczko uses many illustrations and examples, which makes the material more clear and understandable. His previous work has also been recognized for its practical focus and in-depth analysis, which confirms his status as an expert in metallurgy and mathematical modeling. The book “No.879 Mathematical Models of Metallurgical Processes” is not just a textbook, but a real find for everyone who seeks to understand how mathematics can help in solving practical problems in metallurgy. It will become an indispensable assistant for those who want to deepen their knowledge and skills in this area, as well as for those who are looking for new approaches to optimize production processes. If you are interested in metallurgy, mathematical modeling or just want to expand your horizons in engineering, this book will be a real discovery for you. Do not miss the opportunity to touch a world where mathematics and metallurgy go hand in hand, creating new opportunities for innovation and development.