Question: The attached file has data on 120 applicants to a college from 1 year ago. The data includes the students high school GPA and SAT
The attached file has data on 120 applicants to a college from 1 year ago. The data includes the students high school GPA and SAT score along with an indicator as whether they were offered admission (1 = yes) A data analyst in the admissions department wants to develop a classification model to evaluate the probability new students will be admitted. Run a logistic regression model on the complete data set.
What is the coefficient for GPA?
| Admit | GPA | SAT |
| 1 | 3.10 | 1550 |
| 0 | 2.70 | 1360 |
| 1 | 2.60 | 1470 |
| 1 | 3.70 | 1450 |
| 1 | 3.10 | 1500 |
| 1 | 4.00 | 1440 |
| 1 | 3.40 | 1510 |
| 0 | 2.80 | 1120 |
| 1 | 4.20 | 1090 |
| 0 | 2.60 | 1300 |
| 1 | 3.20 | 1420 |
| 0 | 3.40 | 1270 |
| 1 | 4.30 | 1370 |
| 1 | 3.60 | 1400 |
| 0 | 3.10 | 1290 |
| 1 | 4.50 | 1330 |
| 1 | 4.20 | 1480 |
| 1 | 2.50 | 1520 |
| 1 | 2.60 | 1530 |
| 1 | 2.60 | 1510 |
| 0 | 3.40 | 1250 |
| 0 | 3.70 | 1120 |
| 1 | 3.30 | 1530 |
| 1 | 3.20 | 1590 |
| 1 | 3.50 | 1400 |
| 0 | 3.90 | 1280 |
| 1 | 4.30 | 1240 |
| 1 | 3.20 | 1220 |
| 0 | 2.50 | 1210 |
| 1 | 3.60 | 1580 |
| 1 | 4.40 | 1220 |
| 1 | 4.50 | 1460 |
| 0 | 2.60 | 1300 |
| 0 | 2.60 | 1180 |
| 0 | 2.60 | 1450 |
| 1 | 4.20 | 1460 |
| 1 | 3.50 | 1460 |
| 0 | 4.20 | 1060 |
| 0 | 3.20 | 1040 |
| 0 | 3.30 | 1500 |
| 1 | 2.80 | 1530 |
| 0 | 3.90 | 1310 |
| 1 | 3.00 | 1360 |
| 1 | 3.00 | 1270 |
| 1 | 3.00 | 1550 |
| 1 | 3.50 | 1080 |
| 1 | 3.40 | 1360 |
| 1 | 4.30 | 1330 |
| 0 | 3.20 | 1060 |
| 1 | 2.60 | 1430 |
| 0 | 3.10 | 1510 |
| 0 | 3.00 | 1070 |
| 1 | 4.20 | 1320 |
| 1 | 3.40 | 1280 |
| 0 | 3.20 | 1240 |
| 1 | 2.80 | 1480 |
| 0 | 3.30 | 1010 |
| 0 | 2.90 | 1150 |
| 1 | 4.30 | 1330 |
| 0 | 2.60 | 1470 |
| 1 | 4.30 | 1380 |
| 1 | 3.50 | 1440 |
| 1 | 4.00 | 1220 |
| 0 | 3.80 | 1220 |
| 1 | 2.80 | 1100 |
| 0 | 2.90 | 1130 |
| 1 | 2.70 | 1050 |
| 1 | 4.40 | 1010 |
| 0 | 4.20 | 1140 |
| 0 | 3.80 | 1010 |
| 1 | 4.50 | 1200 |
| 0 | 4.30 | 1380 |
| 0 | 4.20 | 1450 |
| 1 | 2.80 | 1180 |
| 1 | 4.40 | 1100 |
| 1 | 2.70 | 1340 |
| 1 | 4.20 | 1130 |
| 1 | 3.60 | 1520 |
| 1 | 3.20 | 1590 |
| 1 | 3.80 | 1330 |
| 1 | 2.60 | 1480 |
| 0 | 2.70 | 1240 |
| 0 | 3.50 | 1150 |
| 0 | 4.10 | 1200 |
| 0 | 4.10 | 1160 |
| 0 | 3.40 | 1000 |
| 0 | 2.90 | 1170 |
| 1 | 3.70 | 1030 |
| 1 | 2.80 | 1210 |
| 0 | 2.80 | 1070 |
| 1 | 3.30 | 1340 |
| 0 | 2.80 | 1290 |
| 1 | 3.20 | 1500 |
| 0 | 3.30 | 1040 |
| 1 | 3.80 | 1330 |
| 1 | 3.00 | 1350 |
| 1 | 3.60 | 1420 |
| 0 | 3.60 | 1010 |
| 1 | 4.20 | 1410 |
| 1 | 4.10 | 1050 |
| 0 | 4.40 | 1050 |
| 1 | 3.70 | 1570 |
| 0 | 3.80 | 1080 |
| 0 | 3.00 | 1070 |
| 1 | 2.80 | 1420 |
| 1 | 3.60 | 1460 |
| 1 | 4.00 | 1400 |
| 1 | 2.60 | 1560 |
| 0 | 2.90 | 1090 |
| 0 | 3.50 | 1050 |
| 1 | 4.00 | 1280 |
| 1 | 4.20 | 1240 |
| 0 | 3.60 | 1120 |
| 1 | 2.90 | 1560 |
| 1 | 3.30 | 1470 |
| 1 | 3.50 | 1440 |
| 0 | 3.90 | 1080 |
| 0 | 3.50 | 1310 |
| 0 | 3.30 | 1550 |
| 1 | 4.40 | 1320 |
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