Research on linear regression algorithm
Year: 2024
Type: conference-paper
Abstract: Linear regression is one of the most widely used predictive models in statistics and machine learning. This paper aims to comprehensively discuss the theoretical basis, mathematical principle and application of linear regression algorithm in various fields. Firstly, this paper introduces the research background and significance of linear regression, and summarizes its important role in modern data analysis. Then, the paper elaborates the basic theory of linear regression, including its definition, assumptions, parameter estimation methods and model diagnosis and selection. In addition, different types of linear regression are classified and discussed, such as simple linear regression, multiple linear regression and logistic regression, and the specific application scenarios of each type are analyzed.
Source: MATEC Web of Conferences
Author: Kecheng Qu
Institution: Shandong Xiehe University
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4396931152