N2

Finally, estimate the effect of attending catholic school on standardized test scores. First, using the entire data set (`school`), run a (lm, not glm) regression to explain variation in standardized test scores (`math_std`) using only whether or not a child attends catholic school (`catholic`). Run a second regression that includes the controls `mom_age`, `mom_noCollege`, and `income`. Rerun these two regressions with the matched dataset (`school_match`). Feed all four regressions into a single `stargazer` command. In `stargazer`, omit the control from the output, omit `f` and `ser`, and add lines telling the reader which sample the regression uses and if controls are included.