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

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

A.

A 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

B.

A 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

C.

To 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.

D.

A 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.

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