Suppose we wish to know whether the effect of SAT on gpa differs by gender. We create an interaction term. SAT_Fem-SAT* Female. We include it in Model 5, with coefficients found below. . regress cumgpa female white fem_white sat sat_fem cumgpa | white | -.054214 fem_white | .2224758 female .4524165 .2897172 .0633164 .1410783 .0001615 .000348 .001165 sat | sat_fem | .0006925 _cons | 1.310071 .1286267 .186 .122 Coef. Std. Err. .181 O.143 O.172 t P>|t| -1.56 0.119 -0.86 0.392 1.58 0.115 7.21 0.000 1.99 0.047 10.19 0.000 [95% Conf. Interval] -1.021347 -.1785511 -. 05 45656 .0008479 9.12e-06 1.057482 .1165136 Two non-white females originally took the SAT and got the same score. One of them then studied hard and improved her score by 100. What is the predicted difference in cumgpa between the two females? .0701231 .4995173 .0014821 .0013758 1.562661
Suppose we wish to know whether the effect of SAT on gpa differs by gender. We create an interaction term. SAT_Fem-SAT* Female. We include it in Model 5, with coefficients found below. . regress cumgpa female white fem_white sat sat_fem cumgpa | white | -.054214 fem_white | .2224758 female .4524165 .2897172 .0633164 .1410783 .0001615 .000348 .001165 sat | sat_fem | .0006925 _cons | 1.310071 .1286267 .186 .122 Coef. Std. Err. .181 O.143 O.172 t P>|t| -1.56 0.119 -0.86 0.392 1.58 0.115 7.21 0.000 1.99 0.047 10.19 0.000 [95% Conf. Interval] -1.021347 -.1785511 -. 05 45656 .0008479 9.12e-06 1.057482 .1165136 Two non-white females originally took the SAT and got the same score. One of them then studied hard and improved her score by 100. What is the predicted difference in cumgpa between the two females? .0701231 .4995173 .0014821 .0013758 1.562661
Chapter2: Mathematics For Microeconomics
Section: Chapter Questions
Problem 2.15P
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