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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

Linear regression

Let's first understand what linear regression is. It is an effort to model and find out the existing linear relationship between given variables by fitting a linear equation to the observed data of given variables. One of the variables is considered to be dependent variable, and others are considered to be independent variables or explanatory variables. Linear regression is a technique that's used industry-wide. It is one of the most famous techniques in the analytics industry and has a lot of uses, such as the prediction of any continuous variables—rainfall, sales, sensor outputs, loan default amount, and so on.

Linear regression is one of the simplest techniques as well. It is widely used in healthcare, FMCG/CPG/retain goods, finance, marketing, and so on. There are various linear regression methods that are listed as you read the chapter in detail. One of the most leveraged methods is the ordinary least squares method. This chapter will prepare you...

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