Question 2 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, O 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>lt [95% Conf. Interval] white.1757462 .0595141 2.95 0.003 .0588071 .2926852 _cons 2.17771 .0508258 42.85 0.000 2.077842 2.277577 .//Model 2 (coefficients only) .regress cumgpa white if female==1 cumgpal Coef. Std. Err. t P>lt [95% Conf. Interval] su.instructure.com/courses/2244573/quizzes/4633871/take , 5:31 PM Quiz: Midterm Exam 02 - Part 1 white 5038381 .115996 4.34 0.000 .2746285 .7330477 _cons 2.30963 1051151 21.97 0.000 2.101921 2.517339 .//Model 3 (coefficients only) .gen fem_white-female*white .regress cumgpa female white fem_white cumgpa | Coef. Std. Err. t P>lt [95% Conf. Interval] female bbbbbbbb .1212192 white aaaaaaaa .058676 fem_white cccccccc .1351988 _cons dddddddd .0501101 Model 3 includes the variable Female and an interaction of Female and White (Fem_White). Some of the STATA output has been concealed. These values can be deduced from Models 1,2. What is the value of the term aaaaaaa? O.1768 .1774 O.1751 O.1762 O.1757