1. How are standard residuals calculated, and how can they help identify outliers? 2. Explain the assumptions of linear regression. How can you determine if each of these assumptions holds? 3. What are partial regression coefficients, and what information do they provide? 4. What are the advantages and disadvantages of using the R2 and adjusted R2 as measures of predictive fit?