Use the preparation materials 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).
- What kind of variables are used in an SLR?
- What are the two goals of an SLR?
- Write the equation of a line (the way statisticians write it) and define all symbols used.
- Define a slope (note that you may need to look at your introductory statistics notes).
- Define an intercept (note that you may need to look at your introductory statistics notes).
- How do you make a prediction?
- How do you calculate a residual?
- Specifically describe what a negative residual means? What does a positive residual mean?
- How is the best-fit line determined?
- What R function is used to find the best-fit line?
- Define r2 (note that you may need to look at your introductory statistics notes).
- What three things does an r2 value near 1 indicate?
- [Optional] 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 me questions about the reading before class on MS Teams.]