Problem Set 6 All of these steps require using the QOG Crosssectional Data. Feel free to use a mix of R and Stata. Plot the Freedom House/Imputed Polity score (fh_ipolity2) against the logged value of GNI per Capita (wdignipc). [Hint: you will need to create a new variable: log(wdi_gnipc)]. . Fit the bivariate regression of fh_ipolity2 against log(wdi gnipc) in the following two ways: Calculate the sample analogues to the BLP; Minimize the sum of squared residuals given a linear predictor. . Plot the regression estimate of the BLP over the observed data. What is the regression estimate of Elfhipolity2 | log(wdi_gnipc) = 0]? . Interpret the meaning of the regression estimate of the coefficient for the constant / intercept. What is the regression estimate of Elfh_ipolity2 | log(wdi_gnipc) = 1]? . Interpret the meaning of the regression estimate of the coefficient on the log(wdi_gnipc)