Use the preparation materials (I also suggest reviewing the preparation questions for the [Regression](LinearRegression) module) to prepare hand-written answers for the following questions. Please ask any questions on the "Questions -- Preparation Guide" on the course Team (see link on the homepage.)
  1. What function is used to add a linear regression line to a scatterplot? What arguments does it require?
  2. What function is used to actually fit a linear regression to data? What arguments does it require
  3. Where is the y-intercept found in the results from lm()?
  4. Where is the slope found in the results from lm()?
  5. What does rSquared() do? What arguments does it require?
  6. What does predict() do? What arguments does it require?
  7. What questions do you have from this reading that you would like me to address? [Please be as specific as possible. Don’t just say “everything” or “I don’t understand anything.” Of course, you can ask questions about the reading before class on MS Teams (see link above).]