Exercises 9.1, 9.2, 9.3, 9.5, 9.6, 9.7, 9.8 in Hyndman

This project explores the global impact of COVID‑19 using Kaggle datasets and the R programming language. It applies data cleaning and visualization techniques to highlight key insights. The analysis includes: A line chart showing the worldwide trend of confirmed cases over time. A bar chart comparing the top 10 countries most affected by confirmed cases. A scatter plot examining the relationship between recoveries and deaths across countries. A stacked bar chart providing a detailed breakdown of confirmed, deaths, and recovered cases for India and the US.

This document continues the introduction to regression analysis using a real dataset on homework deadlines and student performance. It focuses on interpreting regression results, evaluating the strength of relationships using R^2, testing for statistical significance using the F-test, examining the ANOVA table, and using the fitted regression model to make predictions.