Squat
Best squat performance was best described by additive effects for bodyweight, sex, age, and home-country status.
Read model detailsStatistical modeling portfolio project
A reproducible R and Quarto analysis of World University Powerlifting Cup results, modeling how bodyweight, sex, age, and home-country advantage relate to squat, bench press, and deadlift performance.
This project analyzes 1,154 lifter results from World University Powerlifting Cup competitions between 2017 and 2025, excluding 2020. The work compares parsimonious generalized least squares models for best squat, bench press, and deadlift outcomes.
What is the most parsimonious combination of predictors, including bodyweight, sex, age, and home-country advantage, that predicts a lifter's best squat, bench press, and deadlift performance?
Best squat performance was best described by additive effects for bodyweight, sex, age, and home-country status.
Read model detailsThe most parsimonious bench model included a sex-by-bodyweight interaction, suggesting different strength scaling patterns.
Read model detailsBest deadlift performance followed the same core additive predictor set used for squat performance.
Read model detailsThe analysis uses OpenPowerlifting data, exploratory visualization, model comparison, and generalized least squares regression to account for variance patterns across lifter sex.
Complete methodology, exploratory analysis, model selection, and conclusions.
Open report.pdfSlide deck summarizing the project for a quick review.
Open presentation.pdfCleaned powerlifting data used for the analysis.
Open powerlifting.csv