1. What is Ordinary Least Squares (OLS) regression, and how does it work? 2. What assumptions must be satisfied to fit a linear model? 3. In what ways can high collinearity (correlations) among predictors impact the quality of model results? 4. How is an unstandardized beta interpreted in the output of a linear model? 5. What is the purpose of interaction effects in a regression model (see section on moderation analyses)? 6. How do you explore the potential for mediation in a regression model (see section on mediation analyses)?