ISYE6414 FINAL EXAM 2026-2027 / ISYE6414 FINAL EXAM REAL EXAM QUESTION AND ANSWERS

ISYE6414 FINAL EXAM 2026-2027 / ISYE6414 FINAL EXAM REAL EXAM QUESTION AND ANSWERS

ISYE6414 FINAL EXAM 2026-2027 / ISYE6414 FINAL

EXAM REAL EXAM QUESTION AND ANSWERS

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

of lambda in lassoregression.

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 isnormally 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 weekwould 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 agecould 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 devianceresiduals 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.