In: Statistics and Probability
Use Minitab
Data shows graduate program admission decisions (Yes: 1 and No: 2), GRE score and undergraduate GPA for twenty-five students.
Tasks:
Examine if the given data is suitable for the application of linear discriminant analysis.
Create a linear discriminant function predicting admission decisions.
Comment on the classification accuracy.
Predict the admission decision given GRE score = 690 and GPA = 3.2.
Perform logistic regression analysis for the data.
Compare the classification accuracies of both methods.
Admit | GRE | GPA |
2 | 790 | 3.8 |
1 | 370 | 3.4 |
2 | 480 | 2.9 |
1 | 580 | 3.3 |
1 | 620 | 3.9 |
1 | 740 | 3.2 |
2 | 490 | 3.1 |
2 | 720 | 3.7 |
1 | 740 | 3.9 |
2 | 460 | 3.4 |
1 | 610 | 3.3 |
1 | 260 | 2.5 |
2 | 740 | 4 |
1 | 700 | 3.6 |
1 | 760 | 3.5 |
1 | 410 | 2.8 |
1 | 700 | 4 |
1 | 800 | 3.4 |
2 | 680 | 2.9 |
2 | 520 | 3.2 |
1 | 700 | 3.5 |
1 | 580 | 3.3 |
2 | 470 | 3.9 |
1 | 640 | 3.8 |
2 | 410 | 3.8 |