ISYE 6414 FINAL EXAM / ISYE6414 FINAL EXAM REAL EXAM QUESTION AND ANSWERS
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Course
ISYE 6414 FINAL EXAM 2022-2023 / ISYE6414 FINAL E
Institution
ISYE 6414 FINAL EXAM 2022-2023 / ISYE6414 FINAL E
ISYE 6414 FINAL EXAM / ISYE6414 FINAL
EXAM REAL EXAM QUESTION AND ANSWERS
ISYE 6414 FINAL EXAM / ISYE6414 FINAL
EXAM REAL EXAM QUESTION AND ANSWERS
ISYE 6414 FINAL EXAM / ISYE6414 FINAL
EXAM REAL EXAM QUESTION AND ANSWERS
ISYE 6414 FINAL EXAM 2022-2023 / ISYE6414 FINAL
EXAM REAL EXAM QUESTION AND ANSWERS
1. We should always use mean squared error to determine the best value
of lambda in lasso regression.
a. True
b. False
Sol: False. The criterion used is a choice we make.
2. Standard linear regression is an example of a generalized linear model
where the response is normally distributed and the link is the identity
function.
a. True
b. False
Sol: True. See Unit 4.4.1.
3. Goodness-of-fit assessment for logistic regression involves checking
for the independence, constant variance, and normality of the deviance
residuals.
a. True
b. False
Sol: False. We don’t have constant variance in binomial regression.
4. You are interested in understanding the relationship between stress level and
exercise, with stress as the response. In your model, the number of hours a
person spends exercising per week would be considered an explanatory
variable while the person’s age would be a controlling variable.
a. True
b. False
Sol: True. Time spent exercising is part of the relationship you are trying to
understand while age could act as a confounding variable that you need to
control.
5. The hypothesis test for goodness-of-fit using Pearson residuals and the
test using deviance residuals will always reach the same conclusion.
a. True
b. False
Sol: False. One test may conclude plausibly good fit while the other rejects it.
, 6. A logistic regression model with high goodness of fit can have low predictive
power.
a. True
b. False
Sol: True. See Unit 4.2.3.
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