Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter13: Regression And Forecasting Models
Section: Chapter Questions
Problem 40P: The Baker Company wants to develop a budget to predict how overhead costs vary with activity levels....
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![MULTIPLE CHOICE QUESTIONS
An ecommerce company decides to send a gift voucher worth $1000 to a set of customers they believe would make a
purchase of at least $5000. They develop a model to identify potential customers who can make a purchase of $5000 if
we send the $1000 voucher. Which of the following is more critical about the model?
O False negative is worse than False positive if voucher amount crosses $5000
O Both False positive and negative are acceptable
O False positive is worse than a False negative
O False negative is worse than a False positive
Which of the following statements is TRUE?
O Tree based models are normally not affected by outliers
O Presence of outliers in the data has no effect on Regression models
O Standard scaler performs well on features that have outliers
O Tree-based models do not rely on dividing the feature space into sub-sections](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F4e497b98-ae83-4163-b9b7-8b12a25f5ed2%2F14e3de14-0249-4f72-ac90-0e92fd8bfbe7%2F529p9ts_processed.png&w=3840&q=75)
Transcribed Image Text:MULTIPLE CHOICE QUESTIONS
An ecommerce company decides to send a gift voucher worth $1000 to a set of customers they believe would make a
purchase of at least $5000. They develop a model to identify potential customers who can make a purchase of $5000 if
we send the $1000 voucher. Which of the following is more critical about the model?
O False negative is worse than False positive if voucher amount crosses $5000
O Both False positive and negative are acceptable
O False positive is worse than a False negative
O False negative is worse than a False positive
Which of the following statements is TRUE?
O Tree based models are normally not affected by outliers
O Presence of outliers in the data has no effect on Regression models
O Standard scaler performs well on features that have outliers
O Tree-based models do not rely on dividing the feature space into sub-sections
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