Regression Analysis: An Intuitive Guide for Using and Interpreting Linear Models

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.

It does cover how to enhance with 2nd variable or not enhance a model. It does include sections on categorical variables which is why I bought it. It also covers using exponents or additional multiplications to use as second variables, not just another variable with a coefficient. So I give it 5 stars because it takes these steps from basic to more complex. I was hoping it had the math or explained more about the equation of when using continuous variable with a categorical variable. Using categorical in a linear regression is a unique scenario, according to trying to find help online about this. Every chapter is useful and I plan to keep it for reference to evaluate a model. Now I know more why there are 3 types of R-squared. The last few chapters touch upon some very cool things, but I am unsure if categorical variable used in Logistic Regression are the predicted output, or one of the variables that add/subtract to make the predicted output.

good read

Studying for the CFA exam I saw a chapter regarding Regression Analysis and knowing it is used in finance industry to forecast revenues, growth and stuff I had the desire to dive a little deeper and to gather the knowledge to make a good forecast analysis. This book was the key that I was looking for. Written in a simple and light manner, it is easy to understand the concepts, tips and basic rules that the author share with you. I would highly recommend it to anyone interested in knowing more about regression analysis or if you work in the finance industry as an analyst and even more higly if you are a beginner in the topic.

I have a variety of textbooks on regression but this is the first one I've found that addresses practical application and analysis of linear regression in a clear and concise way. It does a great job of describing important concepts without getting deep into the mathematics of regression. I have applied regression for many years but this book has clarified a lot of different topics for me and allowed me to correct some misunderstandings I've had. I highly recommend this for practitioners.

nice

Topics & concepts are glossed over making it hard for someone without a background in stats already.

Este libro es específico sobre el tema de análisis de regresión. Lo considero muy completo y educativo

Well written and easy to understand

This book saved my uni subject on linear regression which was not particularly well taught. Intuitive + practical examples + clear explanations on concepts. Jim Frost you are a gem and this book represents what is clearly a labor of love wrapped up in real world expertise on this subject. This book should be required reading for all basic linear regression courses out there.

This is one of the must-have books on Regression Analysis especially for those new to the subject or industrial experimenters who want to get up and running quickly. With simple language and with the help of practical cases, it provides an intuitive and practical guide to the topic. I personally found this purchase very useful and therefore I fully recommend it.

This book is very different from other kinds of textbooks. There are almost no mathematical equations! Therefore, it is not for the beginners of regression analysis, but for the intermediate learners who want to understand what they are doing with the regression analysis. If you’re looking for a book that supports your understanding of regression analysis, I recommend you this one.

Good book to understand the concepts.