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.

nice

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.

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.

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

Easy to read and easy to apply in real world situations

How can you have a book on regression analysis without math? Not even code? Answer: you cannot. This is not the book you're looking for.