Question 2 6 / 6 pts Suppose we have a dataset on high school students. Amongst the variables in this dataset are measures of cumulative grade point average ("cumgpa"), a dummy variable for gender (female=1 if the student is female, 0 otherwise), and a dummy variable for race (white=1 if the student is white, 0 otherwise). We execute a few basic regressions for the dependent variable cumgpa and produce the following output in STATA: .//Model 1 (coefficients only) . regress cumgpa white if female==0 cumgpa Coef. Std. Err. t P> It / [95% Conf. Interval] white I . 1451916 . 0595108 2. 44 0. 015 0282578 . 2621254 _cons 2.20037 0504937 43.58 0. 000 2. 101154 2. 299586 //Model 2 (coefficients only) . regress cumgpa white if female==1 cumgpa / Coef. Std. Err. t P> It/ [95% Conf. Interval] white . 4369624 1205286 3. 63 0. 000 1988222 . 6751027 cons / 2. 378077 . 1098111 21. 66 0. 000 2. 161112 2. 595042 //Model 3 (coefficients only) gen fem_white=female*white . regress cumgpa female white fem_white