ISYE 6414 FINAL EXAM 2022-2023 ISYE 6414 FINAL

ISYE 6414 FINAL EXAM 2022-2023 / ISYE 6414 FINAL

EXAM REAL EXAM QUESTION AND ANSWERS

• We should always use mean squared error to determine the best value

of lambda in lasso regression.

• True
• False

Sol: False. The criterion used is a choice we make.

• Standard linear regression is an example of a generalized linear model

where the response is normally distributed and the link is the identity function.

• True
• False

Sol: True. See Unit 4.4.1.

• Goodness-of-fit assessment for logistic regression involves checking

for the independence, constant variance, and normality of the deviance residuals.

• True
• False

Sol: False. We don’t have constant variance in binomial regression.

• 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.

• True
• 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.

• The hypothesis test for goodness-of-fit using Pearson residuals and the

test using deviance residuals will always reach the same conclusion.

• True
• False

Sol: False. One test may conclude plausibly good fit while the other rejects it. 1 / 2

• A logistic regression model with high goodness of fit can have low predictive

power.

• True
• False

Sol: True. See Unit 4.2.3.

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