The accompanying Credit Approval Decisions data provide information on credit history for a sample of banking customers. Use regression analysis to identify the best model for predicting the credit score as a function of the other numerical variables, using the p-value criteria. Use a level of significance of0.05. What is the best model using the p-value criteria? Select the best answer below and fill in the answer boxes to complete your choice. (Type integers or decimals rounded to three decimal places as needed.) A. Credit Score=nothing+Balance B. Credit Score=nothing+Years+Balance C. Credit Score=nothing+Years+Balance+Utilization D. Credit Score=nothing+Balance+Utilization E. Credit Score=nothing+Utilization F. Credit Score=nothing+Years+Utilization G. Credit Score=nothing+Years Credit Score Years of Credit History Revolving Balance ($) Revolving Utilization (%) 728 21 11420 0.23 576 8 7300 0.71 680 13 20100 0.52 628 17 12900 0.68 530 10 5800 0.77 798 21 9100 0.14 736 6 35300 0.22 623 6 22900 0.64 594 18 16600 0.51 663 22 9300 0.34 703 18 22100 0.16 503 15 12600 0.84 568 7 7800 0.72 623 4 37500 0.88 777 12 6200 0.08 805 11 10600 0.04 643 8 17400 0.57 526 13 27100 0.78 814 22 13500 0.05 766 4 11300 0.72 558 4 2600 0.98 620 8 8500 0.35 645 14 16100 0.23 691 2 3400 0.11 652 13 7600 0.05 698 17 20400 0.24 704 8 11800 0.13 638 6 29200 0.85 510 3 2100 1 680 14 7700 0.07 488 6 1100 0.84 585 2 8600 0.63 702 18 12900 0.28 706 24 10100 0.21 588 17 31100 0.79 623 6 16300 0.56 698 18 9800 0.12 777 12 6200 0.06 805 11 10600 0.05 643 6 17400 0.58 539 18 27100 0.77 804 22 13500 0.04 763 3 11300 0.72 570 6 2300 0.97 603 11 12150 0.84 705 13 11800 0.18 639 7 29200 0.83 512 4 2100 0.99 598 19 29100 0.77 736 12 13100 0.25

The accompanying Credit Approval Decisions data provide information on credit history for a sample of banking customers. Use regression analysis to identify the best model for predicting the credit...

The accompanying Credit Approval Decisions data provide information on credit history for a sample of banking customers. Use regression analysis to identify the best model for predicting the credit score as a function of the other numerical variables, using the p-value criteria. Use a level of significance of

0.05.

What is the best model using the p-value criteria? Select the best answer below and fill in the answer boxes to complete your choice.

(Type integers or decimals rounded to three decimal places as needed.)

Credit

Score=nothing+Balance

Credit

Score=nothing+Years+Balance

Credit

Score=nothing+Years+Balance+Utilization

Credit

Score=nothing+Balance+Utilization

Credit

Score=nothing+Utilization

Credit

Score=nothing+Years+Utilization

Credit

Score=nothing+Years

Credit Score	Years of Credit History	Revolving Balance ($)	Revolving Utilization (%)
728	21	11420	0.23
576	8	7300	0.71
680	13	20100	0.52
628	17	12900	0.68
530	10	5800	0.77
798	21	9100	0.14
736	6	35300	0.22
623	6	22900	0.64
594	18	16600	0.51
663	22	9300	0.34
703	18	22100	0.16
503	15	12600	0.84
568	7	7800	0.72
623	4	37500	0.88
777	12	6200	0.08
805	11	10600	0.04
643	8	17400	0.57
526	13	27100	0.78
814	22	13500	0.05
766	4	11300	0.72
558	4	2600	0.98
620	8	8500	0.35
645	14	16100	0.23
691	2	3400	0.11
652	13	7600	0.05
698	17	20400	0.24
704	8	11800	0.13
638	6	29200	0.85
510	3	2100	1
680	14	7700	0.07
488	6	1100	0.84
585	2	8600	0.63
702	18	12900	0.28
706	24	10100	0.21
588	17	31100	0.79
623	6	16300	0.56
698	18	9800	0.12
777	12	6200	0.06
805	11	10600	0.05
643	6	17400	0.58
539	18	27100	0.77
804	22	13500	0.04
763	3	11300	0.72
570	6	2300	0.97
603	11	12150	0.84
705	13	11800	0.18
639	7	29200	0.83
512	4	2100	0.99
598	19	29100	0.77
736	12	13100	0.25

Jun 08, 2022

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