<p>Stata is one of the leading statistical software packages widely used in different fields. This course is divided into two parts. The first part covers the theory behind linear regression in an intuitive way, and the second part enables you to apply the theory to practical scenarios using Stata. Don’t worry if you’re not from a mathematical background; the course covers only a few equations in which addition and subtraction are used. </p><p>You’ll start by understanding what linear regression is and when it is used, and then learn the differences between simple linear regression and multiple linear regression. You’ll get to grips with the output of linear regression, test model accuracy, and assumptions. You’ll also learn how to include different types of variables in the model, such as categorical variables and quadratic variables. As you advance, you’ll use Stata to fit multiple regression models, produce graphs that describe model fit and assumptions, and use variable specific commands that will make the output more readable. This part assumes basic knowledge of Stata. </p><p>By the end of this course, you’ll have gained all the knowledge you need to apply linear regression confidently. </p><p>All the codes and supporting files are available at - https://github.com/PacktPublishing/Linear-Regression-using-Stata</p>