Chapter 2 Flashcards
2.1: Simple Linear Regression Model
2.1: The Zero Conditional Mean Assumption
2.1: Population Regression Function (PRF)
2.2: Equation of the Slope Parameter
2.2: Equation for the Intercept Parameter
2.2: OLS Regression Line/ Sample Regression Function
2.3: Total Sum of Squares, Explained Sum of Squares and Residual Sum of Squares
2.3: Coefficient of Determination
2.4: Δy in level-level, log-level, level-log, and log-log models
2.5: The Four Assumptions for Unbiasedness of OLS
2.5: Definition of Homoskedasticity
2.5: Definition of Heteroskedasticity
2.5: Sample Variances of the OLS Estimators
2.5: Unbiased Estimator of the Error Variance and Standard Error of Regression
2.5: Standard Error of the Estimated Slope Parameter