The purpose of this tutorial is to continue our exploration of regression by constructing linear models with two or more explanatory variables. This is an extension of Lesson 9. I will start with a ...

Linear regression (also called simple regression) is one of the most common techniques of regression analysis. Multiple regression is a broader class of regression analysis, which encompasses both ...

This post will show how to estimate and interpret linear regression ... you get 49.3–23.7 = 25.6, exactly what we saw in the simple tabulation above. Regression becomes a more useful tool when ...

Topics covered include linear regression, multiple regression, and multicolinearity using correlation and the variance inflation factor. Others topics include R, R2, Adjusted R2, interpretation of the ...

Of course, this is just a simple regression and there are models that you can build that use several independent variables called multiple linear regressions. But multiple linear regressions are ...

Topics covered include simple linear regression, multiple regression, variable selection, model diagnostics, and systems of regression equations. The course also covers classification techniques using ...

Getty Images, Cultura RM Exclusive/yellowdog Linear regression, also called simple regression, is one of the most common techniques of regression analysis. Multiple regression is a broader class ...