This document presents a comprehensive solution to a data analysis homework assignment, employing various statistical techniques to analyze healthcare data. The analysis begins with an examination of BMI differences between OA and control participants using t-tests to determine if there is a statistically significant difference. Subsequent analyses explore heart rate changes before and after a 400-meter walk, again utilizing t-tests to assess significance. The assignment then investigates differences in 400m walk times across different weight categories and visits using ANOVA. Furthermore, the document includes an analysis of the correlation between KOOS pain and function scores using Pearson correlation, and a regression analysis is performed to determine if age predicts the time taken to complete the 400-meter walk. The document provides detailed results, interpretations, and conclusions for each analysis, offering a complete understanding of the data and statistical methods applied.