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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 5. Linear Regression in Stata

One of the most used techniques in analytics is linear regression. It helps you predict values based on independent variables. Stata has one of the simplest syntaxes for linear regression and it can prove to be the best tool for predictive analytics and statistical modeling as far as linear regression is concerned. Stata's simple syntax makes it easy for users to understand and relate to statistical (linear regression) concepts and apply these concepts in real life successfully. This will be your first chapter that will foray into statistical modeling, and it's an extremely important chapter from the point of view of developing good knowledge of modeling.

Here are some of the topics we will cover in this chapter:

  • Linear regression
  • The linear regression code in Stata
  • The variance inflation factor and multicollinearity
  • Homoscedasticity
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