. Using the AMPS Model to Address Accounting Questions 1. Ask the Question 2. Master the Data 3. Perform the Analysis 4. Share the Story I. Project 1: Using the AMPS Model to Address the Question of Loan Repayment 1. Lending Club is a U.S based peer-to-peer lending company headquartered in San Francisco, California. 2. Lending Club facilitates both borrowing and lending by providing a platform for unsecured personal loans between $1,000 and $35,000. 3. Facilitates loans for either three or five years. A. Ask the Question 1. What borrower or loan characteristics are associated with loan repayment? Help company determine who should or should not receive a loan in the future. It may also help predict the risk associated with the loan, which will nfluence the interest rate it should change. 3. Master the Data Step 1: Step 2: 1. Dependent Variables 2. Potential Independent or Explanatory Variables 1. Make sure that data is not missing. 2. Make sure there are no errors in the data. 3. Transform the non-numeric data into numeric data. a. Loan Status b. Employment Length c. Term of Loan . Using the AMPS Model to Address Accounting Questions 1. Ask the Question 2. Master the Data 3. Perform the Analysis 4. Share the Story I. Project 1: Using the AMPS Model to Address the Question of Loan Repayment 1. Lending Club is a U.S based peer-to-peer lending company headquartered in San Francisco, California. 2. Lending Club facilitates both borrowing and lending by providing a platform for unsecured personal loans between $1,000 and $35,000. 3. Facilitates loans for either three or five years. A. Ask the Question 1. What borrower or loan characteristics are associated with loan repayment? Help company determine who should or should not receive a loan in the future. It may also help predict the risk associated with the loan, which will nfluence the interest rate it should change. 3. Master the Data Step 1: Step 2: 1. Dependent Variables 2. Potential Independent or Explanatory Variables 1. Make sure that data is not missing. 2. Make sure there are no errors in the data. 3. Transform the non-numeric data into numeric data. a. Loan Status b. Employment Length c. Term of Loan