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Data Analysis with STATA

Data Analysis with STATA

By : Kothari
2.2 (5)
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Data Analysis with STATA

Data Analysis with STATA

2.2 (5)
By: Kothari

Overview of this book

STATA is an integrated software package that provides you with everything you need for data analysis, data management, and graphics. STATA also provides you with a platform to efficiently perform simulation, regression analysis (linear and multiple) [and custom programming. This book covers data management, graphs visualization, and programming in STATA. Starting with an introduction to STATA and data analytics you’ll move on to STATA programming and data management. Next, the book takes you through data visualization and all the important statistical tests in STATA. Linear and logistic regression in STATA is also covered. As you progress through the book, you will explore a few analyses, including the survey analysis, time series analysis, and survival analysis in STATA. You’ll also discover different types of statistical modelling techniques and learn how to implement these techniques in STATA.
Table of Contents (11 chapters)
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10
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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Data Analysis with STATA
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