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Data Analysis with STATA

You're reading from   Data Analysis with STATA Explore the big data field and learn how to perform data analytics and predictive modelling in STATA

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Product type Paperback
Published in Oct 2015
Publisher Packt
ISBN-13 9781782173175
Length 176 pages
Edition 1st Edition
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Toc

Table of Contents (11) Chapters Close

Preface 1. Introduction to Stata and Data Analytics FREE CHAPTER 2. Stata Programming and Data Management 3. Data Visualization 4. Important Statistical Tests in Stata 5. Linear Regression in Stata 6. Logistic Regression in Stata 7. Survey Analysis in Stata 8. Time Series Analysis in Stata 9. Survival Analysis in Stata Index

Chapter 6. Logistic Regression in Stata

In this chapter, we will learn about logistic/binary regression. Logistic regression is a really important concept when it comes to knowing about the probability of a particular event happening, for example, whether a particular customer will default on their loan payments, whether it will rain on given day, whether a telecom customer will pay the bill on time, and so on. In order to understand logistic regression better, let's discuss linear regression with Online Linguistic Support (OLS). OLS is leveraged to determine or predict the quantity of data or the quantified value of variables. However, logistic regression is leveraged to determine whether the data values will give the result in a code format from 0 to 1. In simpler words, based on the data, logistic regression predicts whether an event will happen or not.

In this chapter, we will cover the following aspects of logistic regression:

  • The logistic regression concept
  • Logistic regression...
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