1. Regression Overview

2. Definition The simple linear regression model is given by the linear equation where is the y-intercept for the population data, is the slope coefficient for the population data, Simple Linear Regression Model

5. OLS is BLUE: Best Linear Unbiased Estimator IF the following assumptions hold: 1.Linearity assumption The functional form of the regression is linear No omitted variables 2.The mean of the errors is 0 3.The variance of the errors does not depend on the X’s (homoscedasticity) 4.Uncorrelated errors 5.Errors are normally distributed

6. Hourly wage

7. Economic Model of Crime

8. Pitfalls and Concerns in Regression Modeling