Now that you've got a good sense of how to 'speak' R, let's use it with linear regression to make distinctive predictions.

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 ...

Regression is a statistical method that allows us to look at the relationship between two variables, while holding other factors equal.

Using Linear Regression Because much economic data has cycles, multiple trends and non-linearity, simple linear regression is often inappropriate for time-series work, according to Yale University.

Regression is a vital tool for estimating investing outcomes based on various inputs. Regression is a vital tool for predicting outcomes in investing and other pursuits. Find out what it means ...

There are rarer instances, for example, an example from geology discussed here, where the use of orthogonal regression without proper attention to modeling may lead to either overcorrection or ...