Choose a college of interest and use the sample of enrolled students to best predict a students college grade point average. Explore interactions of the relevant predictor variables and use model selection criteria to select the best predictive model. In
Choose a college of interest and use the sample of enrolled students to best predict a student’s college grade point average. Explore interactions of the relevant predictor variables and use model selection criteria to select the best predictive model. In order to estimate these models, you have to first filter the data to include only the enrolled students. Interpret your results with reference to well-formatted figures and tables.
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 |
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Related Book For
Business Analytics
ISBN: 9781265897109
2nd Edition
Authors: Sanjiv Jaggia, Alison Kelly, Kevin Lertwachara, Leida Chen
Question Details
Chapter #
8- More Topics in Regression Analysis
Section: Case study
Problem: 1
Posted Date: May 25, 2023 09:08:02
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