K Use discriminant analysis to classify the accompanying new records using only Credit Score and Years of Credit History as input variables. Click here to view the credit approval data. Click here to view the new records. Complete the following table. Homeowner Credit Score Years of Credit History Revolving Balance Revolving Utilization Discriminant Score Decision (Round to four decimal places as needed.) Y Z > Z => Y 725 20 Homeowner Credit Score Years of Credit History Revolving Balance ($) Revolving Utilization (%) Decision 25 Approve 11320 Y 573 9 7200 70 Reject Y 677 11 20000 55 Approve N 625 15 12800 65 Reject N 527 12 5700 75 Reject Y 795 22 9000 12 Approve N 733 7 35200 20 Approve N 620 5 22800 62 Reject Y 591 17 16500 50 Reject Y 660 24 9200 35 Approve Y 700 19 22000 18 Approve Y 500 16 12500 83 Reject Y 565 6 7700 70 Reject N 620 3 37400 87 Reject Y 774 13 6100 7 Approve Y 802 10 10500 5 Approve N 640 7 17300 59 Reject N 523 14 27000 79 Reject Y 811 20 13400 3 Approve $21,000 15% $4,000 90% $8,500 25% $16,300 70% $2,500 90% $16,700 18% N 763 2 11200 70 Reject N 555 4 2500 100 Reject N 617 Y 642 13 N 688 Y 649 12 9332 8400 34 Reject 16000 25 Approve 3300 11 Approve 7500 5 Approve Y 695 15 20300 22 Approve Y 701 9 11700 15 Approve N 635 7 29100 85 Reject N 507 2 2000 100 Reject Y 677 12 7600 9 Approve N 485 5 1000 80 Reject N 582 3 8500 65 Reject Y 699 17 12800 27 Approve Y 703 22 10000 20 Approve N 585 18 31000 78 Reject Y 620 8 16200 Y 695 16 9700 55 Reject 11 Approve Y 774 13 6100 7 Approve 2 78156 Y 802 10 10500 5 Approve N 640 7 17300 59 Reject N 536 14 27000 79 Reject Y 801 20 13400 3 Approve N 760 2 11200 70 Reject N 567 4 2200 95 Reject N 600 10 12050 Y 702 11 11700 716 681 568 Y 636 8 29100 81 Reject 15 Approve 85 Reject N 509 3 2000 100 Reject N 595 18 29000 78 Reject Y 733 15 13000 24 Approve

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
K
Use discriminant analysis to classify the accompanying new records using only Credit Score and Years of Credit History as input variables.
Click here to view the credit approval data. Click here to view the new records.
Complete the following table.
Homeowner Credit Score Years of Credit History Revolving Balance Revolving Utilization Discriminant Score Decision
(Round to four decimal places as needed.)
Y
Z > Z =>
Y
725
20
Homeowner Credit Score Years of Credit History Revolving Balance ($) Revolving Utilization (%) Decision
25 Approve
11320
Y
573
9
7200
70 Reject
Y
677
11
20000
55 Approve
N
625
15
12800
65 Reject
N
527
12
5700
75 Reject
Y
795
22
9000
12 Approve
N
733
7
35200
20 Approve
N
620
5
22800
62 Reject
Y
591
17
16500
50 Reject
Y
660
24
9200
35 Approve
Y
700
19
22000
18 Approve
Y
500
16
12500
83 Reject
Y
565
6
7700
70 Reject
N
620
3
37400
87 Reject
Y
774
13
6100
7 Approve
Y
802
10
10500
5 Approve
N
640
7
17300
59 Reject
N
523
14
27000
79 Reject
Y
811
20
13400
3 Approve
$21,000
15%
$4,000
90%
$8,500
25%
$16,300
70%
$2,500
90%
$16,700
18%
N
763
2
11200
70 Reject
N
555
4
2500
100 Reject
N
617
Y
642
13
N
688
Y
649
12
9332
8400
34 Reject
16000
25 Approve
3300
11 Approve
7500
5 Approve
Y
695
15
20300
22 Approve
Y
701
9
11700
15 Approve
N
635
7
29100
85 Reject
N
507
2
2000
100 Reject
Y
677
12
7600
9 Approve
N
485
5
1000
80 Reject
N
582
3
8500
65 Reject
Y
699
17
12800
27 Approve
Y
703
22
10000
20 Approve
N
585
18
31000
78 Reject
Y
620
8
16200
Y
695
16
9700
55 Reject
11 Approve
Y
774
13
6100
7 Approve
2
78156
Y
802
10
10500
5 Approve
N
640
7
17300
59 Reject
N
536
14
27000
79 Reject
Y
801
20
13400
3 Approve
N
760
2
11200
70 Reject
N
567
4
2200
95 Reject
N
600
10
12050
Y
702
11
11700
716
681
568
Y
636
8
29100
81 Reject
15 Approve
85 Reject
N
509
3
2000
100 Reject
N
595
18
29000
78 Reject
Y
733
15
13000
24 Approve
Transcribed Image Text:K Use discriminant analysis to classify the accompanying new records using only Credit Score and Years of Credit History as input variables. Click here to view the credit approval data. Click here to view the new records. Complete the following table. Homeowner Credit Score Years of Credit History Revolving Balance Revolving Utilization Discriminant Score Decision (Round to four decimal places as needed.) Y Z > Z => Y 725 20 Homeowner Credit Score Years of Credit History Revolving Balance ($) Revolving Utilization (%) Decision 25 Approve 11320 Y 573 9 7200 70 Reject Y 677 11 20000 55 Approve N 625 15 12800 65 Reject N 527 12 5700 75 Reject Y 795 22 9000 12 Approve N 733 7 35200 20 Approve N 620 5 22800 62 Reject Y 591 17 16500 50 Reject Y 660 24 9200 35 Approve Y 700 19 22000 18 Approve Y 500 16 12500 83 Reject Y 565 6 7700 70 Reject N 620 3 37400 87 Reject Y 774 13 6100 7 Approve Y 802 10 10500 5 Approve N 640 7 17300 59 Reject N 523 14 27000 79 Reject Y 811 20 13400 3 Approve $21,000 15% $4,000 90% $8,500 25% $16,300 70% $2,500 90% $16,700 18% N 763 2 11200 70 Reject N 555 4 2500 100 Reject N 617 Y 642 13 N 688 Y 649 12 9332 8400 34 Reject 16000 25 Approve 3300 11 Approve 7500 5 Approve Y 695 15 20300 22 Approve Y 701 9 11700 15 Approve N 635 7 29100 85 Reject N 507 2 2000 100 Reject Y 677 12 7600 9 Approve N 485 5 1000 80 Reject N 582 3 8500 65 Reject Y 699 17 12800 27 Approve Y 703 22 10000 20 Approve N 585 18 31000 78 Reject Y 620 8 16200 Y 695 16 9700 55 Reject 11 Approve Y 774 13 6100 7 Approve 2 78156 Y 802 10 10500 5 Approve N 640 7 17300 59 Reject N 536 14 27000 79 Reject Y 801 20 13400 3 Approve N 760 2 11200 70 Reject N 567 4 2200 95 Reject N 600 10 12050 Y 702 11 11700 716 681 568 Y 636 8 29100 81 Reject 15 Approve 85 Reject N 509 3 2000 100 Reject N 595 18 29000 78 Reject Y 733 15 13000 24 Approve
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