I’ve acquired knowledge on implementing polynomial regression and decided to experiment with CDC data on inactivity and obesity. My objective was to observe the differences between polynomial regression and simple linear regression. I conducted this comparison by assessing their respective R-squared values and further validated the models using k-fold cross-validation. The exercise provided a clearer understanding of how a lower R-squared value can serve as an indicator of variability, aiding in the evaluation and judgment of a model’s performance.