Data Analytics For Accounting
19th Edition
ISBN: 9781260375190
Author: RICHARDSON, Vernon J., Teeter, Ryan, Terrell, Katie
Publisher: Mcgraw-hill Education,
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Textbook Question
Chapter 1, Problem 2P
Download and consider the rejected loans dataset of LendingClub data titled “RejectStatsA Ready.” Given the analysis performed in the chapter, what three items do you believe would be most useful in predicting loan acceptance or rejection? What additional data do you think could be solicited either internally or externally that would help you predict loan acceptance or rejection?
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Chapter 1 Solutions
Data Analytics For Accounting
Ch. 1 - Prob. 1MCQCh. 1 - Prob. 2MCQCh. 1 - Prob. 3MCQCh. 1 - Prob. 4MCQCh. 1 - Prob. 5MCQCh. 1 - Prob. 6MCQCh. 1 - Prob. 7MCQCh. 1 - Prob. 8MCQCh. 1 - Prob. 9MCQCh. 1 - Prob. 10MCQ
Ch. 1 - Prob. 1DQCh. 1 - Give an example of how Data Analytics creates...Ch. 1 - Prob. 3DQCh. 1 - Prob. 4DQCh. 1 - Prob. 5DQCh. 1 - Prob. 6DQCh. 1 - Prob. 7DQCh. 1 - Prob. 8DQCh. 1 - Prob. 9DQCh. 1 - Prob. 10DQCh. 1 - Prob. 11DQCh. 1 - Prob. 12DQCh. 1 - To address the question Will I receive a loan from...Ch. 1 - Download and consider the data dictionary file...Ch. 1 - Download and consider the rejected loans dataset...Ch. 1 - Prob. 3PCh. 1 - Prob. 4PCh. 1 - Consider the 2013 declined loan data from...Ch. 1 - Consider the 2013 declined loan data from...
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