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The director of the MBA program at Salterdine University wants to develop a procedure to determine which applicants to admit to the MBA program. The

The director of the MBA program at Salterdine University wants to develop a procedure to determine which applicants to admit to the MBA program. The director believes that an applicant's undergraduate grade point average (GPA) and score on the GMAT exam are helpful in predicting which applicants will be good students. To assist in this endeavor, the director asked a committee of faculty members to classify 70 of the recent students in the MBA program into two groups: (1) good students and (2) weak students. The fileMBAStudents.xlsmthat accompanies this book summarizes these ratings, along with the GPA and GMAT scores for the 70 students.

Student Rating GPA GMAT

1 1 2.96 671

2 1 3.14 548

3 1 3.22 557

4 1 3.29 602

5 1 3.69 580

6 1 3.46 768

7 1 3.03 701

8 1 3.19 738

9 1 3.63 522

10 1 3.59 663

11 1 2.86 569

12 1 2.85 571

13 1 3.14 494

14 1 3.28 446

15 1 2.89 522

16 1 3.37 590

17 1 2.53 564

18 1 3.24 612

19 1 3.04 596

20 1 3.44 685

21 1 3.34 583

22 1 3.52 574

23 1 3.84 658

24 1 3.07 618

25 1 2.83 541

26 1 2.26 583

27 1 2.75 573

28 1 3.55 602

29 1 2.76 622

30 1 3.48 655

31 1 3.36 588

32 1 3.12 534

33 1 3.22 580

34 1 3.28 602

35 1 3.26 626

36 2 3.33 588

37 2 3.01 555

38 2 3.57 541

39 2 2.8 566

40 2 3.06 569

41 2 1.98 562

42 2 2.69 610

43 2 3.33 548

44 2 2.47 599

45 2 1.85 464

46 2 2.47 478

47 2 2.38 648

48 2 2.36 548

49 2 2.73 477

50 2 2.56 490

51 2 2.3 410

52 2 3.14 571

53 2 3.41 434

54 2 2.56 563

55 2 2.25 466

56 2 3.15 388

57 2 3.5 477

58 2 2.89 560

59 2 2.8 519

60 2 3.13 491

61 2 2.54 521

62 2 2.43 500

63 2 2.2 549

64 2 2.36 606

65 2 2.57 617

66 2 2.35 481

67 2 2.72 487

68 2 2.51 533

69 2 2.36 474

70 2 2.19 557

Question: Use XLMiner's standard data partition command to partition the data into a training set (with 60% of the observations) and validation set (with 40% of the observations) using the default seed of 12345. Use discriminant analysis to develop a classifier for this data. How accurate is this procedure on the training and validation data sets? Round your answers to one decimal place.

Data Set Overall Error

Training %

Validation %

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