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Linear Regression: A Tutorial Introduction to the Mathematics of Regression Analysis (Tutorial Introductions)
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Linear Regression: A Tutorial Introduction to the Mathematics of Regression Analysis (Tutorial Introductions)
Linear regression is a powerful tool for data analysis that can help you uncover hidden patterns and relationships in your data.
With this comprehensive guide, you'll learn how to apply linear regression to fit simple models to data, as well as how to move on to more advanced techniques like nonlinear and Bayesian regression. The book provides a clear and concise overview of the essential mathematics required for linear regression, accompanied by over 30 diagrams that offer a visually intuitive account of the concepts.
You'll also gain hands-on experience through numerical examples implemented online with Python and Matlab code, allowing you to practice your skills and see the results for yourself. Whether you're a beginner or an experienced data analyst, this book is the perfect introduction to linear regression.
With its comprehensive glossary and tutorial appendices, you'll have everything you need to get started with confidence.
So why wait? Order your copy of Linear Regression: The Workhorse of Data Analysis today and start uncovering the hidden patterns in your data!
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