Subset the data to include only one of the colleges. Predict whether an admitted applicant will eventually
Question:
Subset the data to include only one of the colleges. Predict whether an admitted applicant will eventually decide to enroll at the college using predictor variables such as gender, race, high school GPA, SAT/ACT score, and parents’ education level. You will have to first subset the data to include only the admitted applicants.
Applicant | Edu_Parent1 | Edu_Parent2 | Gender | White | Asian | HSGPA | SAT/ACT | College | Admitted | Enrolled | College_GPA |
1 | 4 | 4 | M | 0 | 1 | 4.08 | 1460 | Business & Economics | Yes | No | |
2 | 3 | 3 | F | 0 | 0 | 3.59 | 1180 | Math & Science | No | No | |
3 | 7 | 7 | M | 1 | 0 | 4.25 | 1340 | Arts & Letters | Yes | No | |
4 | 6 | 6 | M | 0 | 1 | 3.00 | 1190 | Business & Economics | No | No | |
5 | 6 | 7 | F | 1 | 0 | 3.90 | 1290 | Business & Economics | No | No | |
6 | 1 | 2 | F | 0 | 0 | 3.36 | 1090 | Arts & Letters | No | No | |
7 | 6 | 6 | F | 1 | 0 | 4.26 | 1430 | Math & Science | Yes | Yes | 3.956 |
8 | 7 | 6 | F | 1 | 0 | 4.32 | 1240 | Math & Science | Yes | No | |
9 | 7 | 6 | F | 1 | 0 | 3.41 | 1230 | Arts & Letters | No | No | |
10 | 6 | 6 | M | 0 | 1 | 3.75 | 1510 | Arts & Letters | Yes | No | |
11 | 7 | 7 | M | 1 | 0 | 2.62 | 1330 | Arts & Letters | No | No | |
12 | 7 | 7 | M | 1 | 0 | 2.46 | 1170 | Arts & Letters | No | No | |
13 | 4 | 6 | F | 1 | 0 | 3.83 | 1210 | Business & Economics | No | No | |
14 | 6 | 6 | M | 0 | 0 | 3.88 | 1340 | Business & Economics | Yes | No | |
15 | 7 | 6 | M | 1 | 0 | 3.21 | 1190 | Math & Science | No | No | |
16 | 7 | 7 | M | 1 | 0 | 3.62 | 1460 | Business & Economics | Yes | No | |
17 | 7 | 7 | M | 0 | 0 | 3.72 | 1270 | Arts & Letters | No | No | |
18 | 7 | 7 | M | 1 | 0 | 4.12 | 1460 | Math & Science | Yes | No | |
19 | 6 | 6 | F | 0 | 0 | 3.11 | 930 | Arts & Letters | No | No | |
20 | 1 | 1 | M | 0 | 0 | 3.11 | 880 | Math & Science | No | No | |
21 | 7 | 6 | M | 1 | 0 | 4.25 | 1560 | Business & Economics | Yes | No | |
22 | 7 | 7 | M | 1 | 0 | 3.23 | 1510 | Math & Science | No | No | |
23 | 3 | 3 | M | 0 | 0 | 3.67 | 1430 | Math & Science | Yes | No | |
24 | 6 | 6 | M | 1 | 0 | 3.52 | 1450 | Math & Science | Yes | No | |
25 | 4 | 7 | M | 0 | 0 | 3.60 | 1040 | Arts & Letters | No | No | |
26 | 5 | 5 | F | 1 | 0 | 3.88 | 1220 | Arts & Letters | No | No | |
27 | 6 | 7 | F | 0 | 1 | 4.05 | 1360 | Arts & Letters | Yes | No | |
28 | 6 | 7 | M | 1 | 0 | 4.06 | 1220 | Business & Economics | No | No | |
29 | 7 | 6 | M | 1 | 0 | 3.95 | 1340 | Math & Science | Yes | Yes | 3.361 |
30 | 7 | 6 | F | 0 | 1 | 3.96 | 1340 | Math & Science | Yes | No |
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Related Book For
Business Analytics
ISBN: 9781265897109
2nd Edition
Authors: Sanjiv Jaggia, Alison Kelly, Kevin Lertwachara, Leida Chen
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