University Statistics Report: Analysing Pulse Rate Factors

This report presents a comprehensive statistical analysis of pulse rate data, exploring the influence of various factors. The study investigates the differences in resting pulse rates between smokers and non-smokers, as well as men and women, utilizing descriptive statistics and independent sample t-tests. The analysis further examines the impact of physical activity on pulse rates, employing dot plots and paired t-tests to determine the significance of changes before and after exercise. Finally, a regression model is constructed to predict an individual's weight based on their height, assessing the model's fit and the relationship between these variables. All calculations and visualizations are performed using Microsoft Excel, with detailed guidance provided in the appendix.