The book “Regression and Correlation Analysis”, created by a team of authors, is a real guide to the world of statistics and data analysis. This publication is intended for those who want to understand more deeply how to identify dependencies between variables and use this knowledge in various fields - from economics to sociology, from medicine to marketing. In today's world, where data becomes the basis for decision-making, the ability to conduct regression and correlation analysis becomes not just useful, but a necessary skill. This book offers readers not only theoretical foundations but also practical examples, making it an ideal choice for both students and professionals seeking to improve their analytical abilities. One of the key topics addressed in the book is the difference between correlation and causation. The authors explain in detail how to interpret the results correctly to avoid common errors, such as false inferences about cause-and-effect relationships. This is especially true for those who work with large amounts of data and face tasks that require accurate analysis. The book will be of interest to a wide range of readers: from students studying statistics and econometrics, to specialists working in the field of data analysis and scientific research. It will also be useful to marketers, sociologists and researchers who seek to use statistical methods to improve their projects and research. The style of the authors is characterized by accessibility and clarity of presentation, which makes complex concepts understandable even for those who are just beginning to get acquainted with the world of statistics. There are many illustrations, graphs and practical problems in the book, which allows the reader not only to assimilate the theory, but also to apply it in practice. In addition, "Regression and Correlation Analysis" discusses modern software tools that help with analysis, such as R, Python, and other statistical packages. This makes the book relevant for those who want not only to learn the theory, but also to learn how to apply it in real conditions. The topics raised in the book go beyond simple data analysis. The authors address the issues of ethics in statistics, the importance of correct interpretation of data and the impact of sampling on the results of the study. These aspects make the book particularly valuable in settings where information can be used for both good and harm. If you are looking for literature that will help you master regression and correlation analysis, as well as teach you how to critically interpret data, then this publication will become your reliable assistant. It will not only expand your knowledge, but also inspire further research in the field of statistics and data analysis. Thus, “Regression and Correlation Analysis” is not just a book, but a whole course that will help you become an expert in data analysis. Do not miss the opportunity to immerse yourself in the world of statistics and discover new horizons of knowledge!