Multiple linear and logistic regression analysis: a SmartPLS 4 software tutorial

This tutorial and case study provides a comprehensive, step-by-step guide to conducting multiple and logistic regression analyses using SmartPLS 4. Although SmartPLS is primarily known for partial least squares structural equation modeling (PLS-SEM), its latest version includes features that enable researchers to perform and visualize regression analyses effectively. The tutorial introduces the theoretical foundations of both standard multiple and logistic regression, outlines the main stages of model specification and estimation, and demonstrates how to implement these analyses within the SmartPLS environment. Emphasis is placed on key analytical decisions, such as model design, assumption testing, interpretation of coefficients, and goodness-of-fit measures. Practical examples and graphical outputs are included to illustrate the implementation process and to enhance understanding of the results.

Subjects

Analysis

Application

Evaluation

Logistic regression

Multiple linear regression

SmartPLS

DDC Class

519: Applied Mathematics, Probabilities

001.4: Research

Funding(s)

Projekt DEAL

Lizenz

https://creativecommons.org/licenses/by/4.0/

Publication version

publishedVersion

Name

s41270-026-00466-2.pdf

Type

Main Article

Size

3.84 MB

Format

Adobe PDF

Options

Multiple linear and logistic regression analysis: a SmartPLS 4 software tutorial