Machine Learning with Apache Spark Quick Start Guide

Univariate linear regression

Univariate (or single-variable) linear regression refers to a linear regression model where we use only one independent variable x to learn a linear function that maps x to our dependent variable y:

In the preceding equation, we have the following:

• yⁱ represents the dependent variable (cnt) for the i^th observation
• xⁱ represents the single independent variable for the i^th observation
• εⁱ represents the error term for the i^th observation
• β₀ is the intercept coefficient
• β₁ is the regression coefficient for the single independent variable

Since, in general form, a univariate linear regression model is a linear function, ...