In this lesson, students will learn how to use statistics to understand relationships between variables and solve problems using linear regression. They will explore real-world examples, such as the correlation between team batting averages and wins in baseball, fat consumption and cholesterol levels in middle-aged men, and years of driving experience and monthly auto insurance premiums. By using mathematical models, students will be able to make predictions and analyze the data effectively.