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Regression Analysis: An Intuitive Guide for Using and Interpreting Linear Models
Learn regression analysis at a deeper level with guidance written in everyday language!
Intuitively understand regression analysis by focusing on concepts and graphs rather than equations. Learn practical tips for modeling your data and interpreting the results. Feel confident that you're analyzing your data properly and able to trust your results. Know that you can detect and correct problems that arise.
Progress from a beginner to a skilled practitioner ready for real-world applications!
After an overview of how regression works and why to use it, the book covers a range of topics, including specifying and assessing models, practical applications, types of effects, statistical significance, predictions, and an array of problem-solving techniques. Contains practical and analytical guidance.
Select the correct type of regression analysis.Specify the best model and assess how well it fits the data.Interpret the results.Understand main effects, interaction effects, and modeling curvature.Use polynomials, data transformations, and weighted least squares.Generate predictions and evaluate their precision.Check the assumptions and resolve issues.Identify and manage unusual observations.Examples of many regression models and scenarios.Access free downloadable datasets so you can work the examples yourself.
Intuitively understand regression analysis by focusing on concepts and graphs rather than equations. Learn practical tips for modeling your data and interpreting the results. Feel confident that you're analyzing your data properly and able to trust your results. Know that you can detect and correct problems that arise.
Progress from a beginner to a skilled practitioner ready for real-world applications!
After an overview of how regression works and why to use it, the book covers a range of topics, including specifying and assessing models, practical applications, types of effects, statistical significance, predictions, and an array of problem-solving techniques. Contains practical and analytical guidance.
Select the correct type of regression analysis.Specify the best model and assess how well it fits the data.Interpret the results.Understand main effects, interaction effects, and modeling curvature.Use polynomials, data transformations, and weighted least squares.Generate predictions and evaluate their precision.Check the assumptions and resolve issues.Identify and manage unusual observations.Examples of many regression models and scenarios.Access free downloadable datasets so you can work the examples yourself.
336 pages, Kindle Edition
Published October 17, 2020
77 people are currently reading
93 people want to read
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Displaying 1 - 10 of 10 reviews
November 17, 2021
Excellent overview of the many graces and pitfalls of regression analysis. It is packed with the kind of practical advice they never teach you about in academic literature.
Highly recommended!
Highly recommended!
November 22, 2025
300+ pages and they didn’t even kiss
October 16, 2024
The beauty of this book lies in its simplicity and clarity. Frost starts with the basics of simple linear regression and gradually moves into more multiple regression models, always emphasizing the why behind each concept. He’s less concerned with turning you into a statistician and more focused on helping you understand how to use regression analysis to draw meaningful conclusions from data.
The book is full of practical examples that are easy to relate to, covering real-world applications in fields like business, economics, and social sciences. Frost walks you through interpreting key outputs like coefficients, R-squared values, and p-values, breaking them down into terms that even beginners can grasp. If you’ve ever struggled to make sense of what these numbers actually mean in the context of your data, this guide will be a game-changer.
Beginner-Friendly Approach: Frost’s writing is clear, engaging, and always focused on building an intuitive understanding of the concepts.
Focus on Interpretation: Instead of getting bogged down in formulas, the book emphasizes how to interpret regression results and what they mean for your data.
Practical Applications: Real-world examples make it easier to see how regression analysis can be used to answer practical questions in various fields.
The book is full of practical examples that are easy to relate to, covering real-world applications in fields like business, economics, and social sciences. Frost walks you through interpreting key outputs like coefficients, R-squared values, and p-values, breaking them down into terms that even beginners can grasp. If you’ve ever struggled to make sense of what these numbers actually mean in the context of your data, this guide will be a game-changer.
Beginner-Friendly Approach: Frost’s writing is clear, engaging, and always focused on building an intuitive understanding of the concepts.
Focus on Interpretation: Instead of getting bogged down in formulas, the book emphasizes how to interpret regression results and what they mean for your data.
Practical Applications: Real-world examples make it easier to see how regression analysis can be used to answer practical questions in various fields.
April 6, 2025
Best Practical Guide to Regression Analysis
After 20+ years of applying regression techniques to real world data, I have never encountered a more straightforward and practical guide to regression analysis. The author clearly has significant experience in this area allowing him to distill straightforward and useful insights to guide the successful application of regression modeling. As an example, his repetition throughout the book of the ‘graph-the-data’ suggestion is insightful in that it emphasizes the connection between good regression models and human judgement… the process requires manual human intervention and cannot be fully automated. In fact, in chapter 8, the author gives an example of an automated process producing a statistically significant bogus model. I would highly recommend this book to anyone interested in practical applications of regression analysis techniques.
After 20+ years of applying regression techniques to real world data, I have never encountered a more straightforward and practical guide to regression analysis. The author clearly has significant experience in this area allowing him to distill straightforward and useful insights to guide the successful application of regression modeling. As an example, his repetition throughout the book of the ‘graph-the-data’ suggestion is insightful in that it emphasizes the connection between good regression models and human judgement… the process requires manual human intervention and cannot be fully automated. In fact, in chapter 8, the author gives an example of an automated process producing a statistically significant bogus model. I would highly recommend this book to anyone interested in practical applications of regression analysis techniques.
December 3, 2020
Very clear, simple explanations of linear regression.
November 27, 2021
Excellent introduction. Clear, concise, and easy to follow. I've read quite a few introductory statistics books, and this one is easily the best.
December 20, 2021
Really well written. The great organization of information makes it a great book to keep on your desk or in your office for specific regression related problems. Would recommend.
June 2, 2022
Super helpful overview of regression analysis!
November 22, 2024
best linear regression book that I have ever read. extremely concise book alongside practical lab in plain language. really recommend this amazing book especially the narrative that really helps me clearly comprehend all chapters.
Displaying 1 - 10 of 10 reviews