ANA605 v1

Çetinkaya-Rundel, M. & Hardin, J. Introduction to modern statistics (2e., ch. 8).

• Chapter 8. Build upon the idea of single-predictor models into development of multi-predictor models.

Jovanovic, A., Krstic, A., Vujnovic, S., & Durovic, Z. (2024). On Multivariate Linear Regression Applications. 2024 11th International Conference on Electrical, Electronic and Computing Engineering (IcETRAN), Electrical, Electronic and Computing Engineering (IcETRAN), 2024 11th International Conference On , pp. 1–5.

• Learn the steps of performing multivariable linear regression analysis through evaluation of energy prediction from real data from a thermal power plant.

Frye, C. (2019). Linear regression and multiple regression models [video]. LinkedInLearning.

• This video outlines the performance of linear regression with a single explanatory variable. The predictive equation and associated R2 values are interpreted.

Linear regression and multiple regression models from Tableau and R for Analytics Projects by Curt Frye

Marin, M. (2013). Multiple linear regression in R | R tutorial 5.3 | MarinStatsLectures [video]. YouTube.

• This video demonstrates the creation of multivariable linear regression models in R and how to evaluate fit and collinearity concern. Confidence intervals will be discussed in Module 4.

Volk-Jesussek, H. (2025). Multiple linear regression: An easy and clear beginner’s guide [video]. YouTube.

• This video illustrates multiple linear regression and interpretation of output regression coefficients, interpretation of the p-value for hypothesis testing, and evaluation of the R2 and adjusted R2 values.