Work

Teaching Linear Regression With Python and Excel: Methods, Tools, and Practical Tasks

Year: 2025

Type: conference-paper

Abstract: This article analyses various approaches to teaching linear regression using Python and Excel. The inductive and deductive methods, as well as problem-based learning, are examined. Examples of using the scikit-learn library or Excel functionalities for building linear regression models are described. Practical tasks are presented to support the understanding of regression analysis concepts.

Source: Environment Technology Resources Proceedings of the International Scientific and Practical Conference

DOI: 10.17770/etr2025vol3.8556

Authors: Neli Kalcheva, Maya Todorova, Ginka Marinova, Firgan Feradov

Institution: Technical University of Varna

Language: English

Topic: Statistics Education and Methodologies

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Quality education

Open Access status: diamond

Funder: Technical University Varna