Last month we explored how to model a simple relationship between two variables, such as the dependence of weight on height 1. In the more realistic scenario of dependence on several variables, we can ...

In the last section, you learned how to perform a basic linear regression with a single predictor variable. Here, you'll explore how to perform linear regressions using multiple independent variables ...

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 ...

※本稿はテックブログからの転載です。 The goal of this blog is to share my learnings and application of instrumental variables regression which were ...

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

In this lab, you'll explore the Ames Housing dataset and identify numeric and categorical variables. Then you'll transform some categorical data and use it in a multiple regression model. (Note that ...