Due date: Sep 26, 2019 1. Multiple Choice: (a) The regression R' is a measure of a. whether or not X causes Y. b. the goodness of fit of your regression line. c. whether or not ESS > TSS. d. the square of the determinant of R. (b) Binary variables a. are generally used to control for outliers in your sample. b. can take on more than two values. c. exclude certain individuals from your sample. d. can take on only two values. (c) The OLS residuals a. can be calculated using the errors from the regression function. b. can be calculated by subtracting the fitted values from the actual valu c. are unknown since we do not know the population regression function. d. should not be used in practice since they indicate that your regression d not run through all your observations