Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Problem Statement/Hypothesis Generation

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5 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main objective of using binary classification in the context of loan eligibility?
To classify customers into multiple loan categories
To predict whether a customer should receive a loan or not
To determine the exact loan amount for each customer
To identify fraudulent loan applications
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is it important to generate hypotheses without looking at the dataset?
To ensure the dataset is complete
To avoid bias in hypothesis generation
To speed up the data analysis process
To ensure all possible factors are included
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is a potential factor that might affect loan approval?
The applicant's salary
The applicant's preferred mode of transport
The applicant's shoe size
The applicant's favorite color
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How might the number of dependents affect a customer's loan approval chances?
Number of dependents has no effect
More dependents decrease approval chances
More dependents increase approval chances
It depends on the bank's policy
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the next step after generating hypotheses in the loan approval process?
Implementing the loan approval system
Examining the dataset
Conducting customer interviews
Finalizing the loan terms
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