Dell EMC Exam E20-065 Topic 1 Question 67 Discussion

Actual exam question for Dell EMC's E20-065 exam

Question #: 67
Topic #: 1

Which scenario is a proper use case for multinomial logistic regression?

AA marketing firm wants to estimate the personal income of a group of potential customers.
Using inputs such as age, education, marital status, and credit card expenditures, a data scientist is building a model that will estimate a person's
income

BA logistic distribution company wants to minimize the distance traveled by its delivery trucks.
A data scientist is building a model to determine the optimal route for each of tis trucks

CTo improve the initial routing of a loan application, a financial institution plans to classify a loan application as Approve, Reject, or Possibly_Approve. Based on the company's historical loan application data, a data scientist is building a model to assign one of these three outcomes to each submitted application.

DA manufacturer plans to determine the optimal number of workers to employ in an assembly line process. Utilizing the observed distributions of the task durations of each process step, a data scientist is building a model to mimic the interactions and dependencies between each stage in the manufacturing process.

Show Suggested Answer

Suggested Answer: C

by Geoffrey at Mar 19, 2024, 07:35 PM

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Emile

8 months ago

I see what you mean, Tennie. Predicting income using multiple variables can definitely be a good application for this type of regression.

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Tennie

9 months ago

I disagree. I believe option A also makes sense. Estimating personal income based on different factors can also benefit from multinomial logistic regression.

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Fernanda

9 months ago

I agree with Odette. Classifying loan applications into different categories sounds like a good fit for this type of regression.

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Odette

9 months ago

I think option C is the proper use case for multinomial logistic regression.

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Emogene

9 months ago

That makes sense, Ranee. I can see how scenario D could be a valid use case as well.

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Ranee

10 months ago

I believe that in scenario D, the interactions and dependencies between each stage in the manufacturing process can be effectively modeled using multinomial logistic regression.

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