---
product_id: 250988677
title: "Regression Analysis: An Intuitive Guide for Using and Interpreting Linear Models"
price: "35581CFA"
currency: XOF
in_stock: true
reviews_count: 13
url: https://www.desertcart.sn/products/250988677-regression-analysis-an-intuitive-guide-for-using-and-interpreting-linear
store_origin: SN
region: Senegal
---

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

**Price:** 35581CFA
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- **What is this?** Regression Analysis: An Intuitive Guide for Using and Interpreting Linear Models
- **How much does it cost?** 35581CFA with free shipping
- **Is it available?** Yes, in stock and ready to ship
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## Description

desertcart.com: Regression Analysis: An Intuitive Guide for Using and Interpreting Linear Models: 9781735431185: Frost, Jim: Books

Review: 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.
Review: informative and logical and each paragraph is backed up - 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.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #779,825 in Books ( See Top 100 in Books ) #281 in Probability & Statistics (Books) #325 in Statistics (Books) #36,691 in Education & Teaching (Books) |
| Customer Reviews | 4.5 4.5 out of 5 stars (258) |
| Dimensions  | 6 x 0.8 x 9 inches |
| ISBN-10  | 1735431184 |
| ISBN-13  | 978-1735431185 |
| Item Weight  | 2.31 pounds |
| Language  | English |
| Print length  | 355 pages |
| Publication date  | October 16, 2020 |
| Publisher  | Statistics By Jim Publishing |

## Images

![Regression Analysis: An Intuitive Guide for Using and Interpreting Linear Models - Image 1](https://m.media-amazon.com/images/I/61tnhQugopL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Best Practical Guide to Regression Analysis
*by N***G on April 6, 2025*

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.

### ⭐⭐⭐⭐⭐ informative and logical and each paragraph is backed up
*by M***N on September 27, 2021*

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.

### ⭐⭐⭐⭐⭐ informative
*by A***R on December 4, 2025*

good read

## Frequently Bought Together

- Regression Analysis: An Intuitive Guide for Using and Interpreting Linear Models
- Introduction to Statistics: An Intuitive Guide for Analyzing Data and Unlocking Discoveries
- Hypothesis Testing: An Intuitive Guide for Making Data Driven Decisions

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*Last updated: 2026-05-05*