Which would you choose? Use a level of significance of 0.05. E Click the icon to view the Credit Approval Decisions data. - X Credit approval decisions data table 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. Credit Score Years of Credit History 21 Revolving Utilization (%) (Type integers or decimals rounded to three decimal places as needed.) Revolving Balance (S) OA. Credit Score =+Years + (O Balance 728 11,420 0.23 B. Credit Score 760.800 + (-219.013) Utilization 576 7,300 0.71 680 13 20,100 0.52 Oc. Credit Score = +OBalance 628 17 12,900 0.68 530 10 5,800 0.77 OD. Credit Score =+OYears 798 21 9,100 0.14 OE. Credit Score = +OYoars + (Balance + (Dutlization OF. Credit Score = +OBalance + (OUtlization OG. Credit Score +OYears + ( Ulization 736 6 35,300 0.22 623 6 22,900 0.64 594 18 16,600 0.51 663 22 0.34 9,300 22,100 703 18 0.16 What is the best model using the t-statistic criteria? Select the best answer below and fill in the answer boxes to complete your choice. 503 15 12,600 0.84 568 7.800 0.72 (Type integers or decimals rounded to three decimal places as needed.) 623 777 4 37,500 6,200 0.88 O A. Credit Score =•O Years + (DBalance 12 0.08 805 11 10,600 O B. Credit Score +DBalance 0.04 0.57 643 17,400 O.Credit Score =+OBalance + (DUtlization 526 13 27,100 0.78 814 22 13,500 0.05 OD. Credit Score - DUtilization 766 4 11,300 0.72 +DYoars + DUelization 0.98 558 4 2,600 OE. Credit Score= 620 8,500 0.35 OF. Credit Score =•OYears + ( Balance DUtilization 645 16, 100 0.23 14 691 3,400 0.11 O G. Credit Score +DYears 652 13 7,600 0.05 698 17 20,400 0.24 11,800 29,200 704 0.13 638 6 0.85 510 3 2,100 1.00

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Hi I need help with the second question "What is the best model using the​ t-statistic criteria? Select the best answer below and fill in the answer boxes to complete your choice." Please let me know what option to choose from A-G and what numbers to put in the boxes.

**Credit Approval Decision Analysis**

The accompanying Credit Approval Decisions data provides 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 both the p-value and t-statistic criteria. How do the models compare? Which would you choose? Use a level of significance of 0.05.

---

**Instructions:**

1. **Identify the Best Model Using the p-value Criteria:**
   - Select the best answer and fill in the answer boxes to complete your choice.
   - Options: 
     - Credit Score = \(\overset{\frown}{=}\) \((\text{Years} + \text{Balance})\)
     - Credit Score = \(\overset{\frown}{=}\) \((219.013) \times \text{Utilization}\)
     - Credit Score = \(\overset{\frown}{=}\) \(\text{Balance}\)
     - Credit Score = \(\overset{\frown}{=}\) \((\text{Years})\)
     - Credit Score = \(\overset{\frown}{=}\) \((\text{Balance} + \text{Utilization})\)
     - Credit Score = \(\overset{\frown}{=}\) \((\text{Balance} \times \text{Utilization})\)
     - Credit Score = \(\overset{\frown}{=}\) \((\text{Years} + \text{Utilization})\)

2. **Identify the Best Model Using the t-statistic Criteria:**
   - Select the best answer and fill in the answer boxes to complete your choice.
   - Options:
     - Credit Score = \(\overset{\frown}{=}\) \((\text{Years} + \text{Balance})\)
     - Credit Score = \(\overset{\frown}{=}\) \(\text{Balance}\)
     - Credit Score = \(\overset{\frown}{=}\) \((\text{Balance} + \text{Utilization})\)
     - Credit Score = \(\overset{\frown}{=}\) \((119.013) \times \text{Utilization}\)
     - Credit Score = \(\overset{\frown}{=}\) \((\text
Transcribed Image Text:**Credit Approval Decision Analysis** The accompanying Credit Approval Decisions data provides 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 both the p-value and t-statistic criteria. How do the models compare? Which would you choose? Use a level of significance of 0.05. --- **Instructions:** 1. **Identify the Best Model Using the p-value Criteria:** - Select the best answer and fill in the answer boxes to complete your choice. - Options: - Credit Score = \(\overset{\frown}{=}\) \((\text{Years} + \text{Balance})\) - Credit Score = \(\overset{\frown}{=}\) \((219.013) \times \text{Utilization}\) - Credit Score = \(\overset{\frown}{=}\) \(\text{Balance}\) - Credit Score = \(\overset{\frown}{=}\) \((\text{Years})\) - Credit Score = \(\overset{\frown}{=}\) \((\text{Balance} + \text{Utilization})\) - Credit Score = \(\overset{\frown}{=}\) \((\text{Balance} \times \text{Utilization})\) - Credit Score = \(\overset{\frown}{=}\) \((\text{Years} + \text{Utilization})\) 2. **Identify the Best Model Using the t-statistic Criteria:** - Select the best answer and fill in the answer boxes to complete your choice. - Options: - Credit Score = \(\overset{\frown}{=}\) \((\text{Years} + \text{Balance})\) - Credit Score = \(\overset{\frown}{=}\) \(\text{Balance}\) - Credit Score = \(\overset{\frown}{=}\) \((\text{Balance} + \text{Utilization})\) - Credit Score = \(\overset{\frown}{=}\) \((119.013) \times \text{Utilization}\) - Credit Score = \(\overset{\frown}{=}\) \((\text
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