Numerical Methods Using Kotlin: For Data Science, Analysis, and Engineering

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2023

H. Li, PhDNumerical Methods Using Kotlinhttps://doi.org/10.1007/978-1-4842-8826-9_14

14. Linear Regression

Haksun Li, PhD¹  

(1)

Hong Kong, China

 

In statistics, linear regression is a linear method to model the relationship between a scalar response (dependent variable), y, and one or more explanatory variables (independent variables), x, a vector. When there is only one explanatory variable, it is called simple linear regression. When there is more than one explanatory variable, it is called multiple linear regression. The parameters of such a linear model, β, are the coefficients for the explanatory variables. The parameters are estimated from the data. When ...