a. What is the relationship between days delinquent and credit scores? Use simple regression. Determine and interpret the coefficient of determination. b. What credit score is expected to yield an average delinquency of 90 days?

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I did part A with the regressional analysis and got 92.5% for the coefficient determination. 

Q. 1. Mary is concemed over how she should use credit ratings in making these loans. She has
gathered sample data on credit rating and loan delinquencies which are provided for your use.
Loans delinquent beyond 90 days are likely candidates for foreclosure. Mary believes that the
bank is willing to accept a minimum credit score that has an expected foreclosure rate of ten
percent.
a. What is the relationship between days delinquent and credit scores? Use simple regression.
Determine and interpret the coefficient of determination.
b. What credit score is expected to yield an average delinquency of 90 days?
Transcribed Image Text:Q. 1. Mary is concemed over how she should use credit ratings in making these loans. She has gathered sample data on credit rating and loan delinquencies which are provided for your use. Loans delinquent beyond 90 days are likely candidates for foreclosure. Mary believes that the bank is willing to accept a minimum credit score that has an expected foreclosure rate of ten percent. a. What is the relationship between days delinquent and credit scores? Use simple regression. Determine and interpret the coefficient of determination. b. What credit score is expected to yield an average delinquency of 90 days?
credit scores
days del.
400
91
425
90
520
70
$40
88
510
85
555
65
535
75
565
55
575
50
640
36
621
43
650
40
647
29
630
35
624
37
648
44
620
45
679
40
682
38
665
36
680
35
695
25
705
22
712
15
730
18
720
13
795
760
745
15
800
Transcribed Image Text:credit scores days del. 400 91 425 90 520 70 $40 88 510 85 555 65 535 75 565 55 575 50 640 36 621 43 650 40 647 29 630 35 624 37 648 44 620 45 679 40 682 38 665 36 680 35 695 25 705 22 712 15 730 18 720 13 795 760 745 15 800
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