ISYE 6414 FINAL EXAM | NEWEST
EXAM COMPREHENSIVE
QUESTIONS AND VERIFIED
ANSWERS GRADED A+
1. If a logistic regression provides accurate classification, then we can
conclude that it is a good fit for the data. - ✔✔✔ Correct Answer > False
2. The hypothesis testing procedure for subsets of regression
coefficients cannot be used for goodness-of-fit assessment in logistic
regression. - ✔✔✔ Correct Answer > True
3. The logit link function is the only S-shape function that can be used
to model binary response data. - ✔✔✔ Correct Answer > False
4. The standard linear regression model (under the assumption of
normality) is not appropriate for modeling binomial response data. -
✔✔✔ Correct Answer > True
5. The error term in logistic regression has a normal distribution. -
✔✔✔ Correct Answer > False
1
, 6. For logistic regression, if the p-value of the deviance test for
goodness-of-fit is large, then it is an indication that the model is a good
fit. - ✔✔✔ Correct Answer > True
7. Statistical inference for logistic regression is reliable only for large
sample data. - ✔✔✔ Correct Answer > True
8. The estimated regression coefficients in Poisson regression are
approximate. - ✔✔✔ Correct Answer > True
9. Cross-validation using random sampling is both more
computationally efficient and more accurate in estimating the
classification error than the K-fold cross validation. - ✔✔✔ Correct
Answer > False
10. Logistic regression and Poisson regression both fall into the
generalized linear modeling framework. - ✔✔✔ Correct Answer > True
11. The selected variables using best subset regression are the best ones
in explaining and predicting the response variables. - ✔✔✔ Correct
Answer > False
12. The lasso regression requires a numerical algorithm to minimize the
penalized sum of least squares. - ✔✔✔ Correct Answer > True
2
EXAM COMPREHENSIVE
QUESTIONS AND VERIFIED
ANSWERS GRADED A+
1. If a logistic regression provides accurate classification, then we can
conclude that it is a good fit for the data. - ✔✔✔ Correct Answer > False
2. The hypothesis testing procedure for subsets of regression
coefficients cannot be used for goodness-of-fit assessment in logistic
regression. - ✔✔✔ Correct Answer > True
3. The logit link function is the only S-shape function that can be used
to model binary response data. - ✔✔✔ Correct Answer > False
4. The standard linear regression model (under the assumption of
normality) is not appropriate for modeling binomial response data. -
✔✔✔ Correct Answer > True
5. The error term in logistic regression has a normal distribution. -
✔✔✔ Correct Answer > False
1
, 6. For logistic regression, if the p-value of the deviance test for
goodness-of-fit is large, then it is an indication that the model is a good
fit. - ✔✔✔ Correct Answer > True
7. Statistical inference for logistic regression is reliable only for large
sample data. - ✔✔✔ Correct Answer > True
8. The estimated regression coefficients in Poisson regression are
approximate. - ✔✔✔ Correct Answer > True
9. Cross-validation using random sampling is both more
computationally efficient and more accurate in estimating the
classification error than the K-fold cross validation. - ✔✔✔ Correct
Answer > False
10. Logistic regression and Poisson regression both fall into the
generalized linear modeling framework. - ✔✔✔ Correct Answer > True
11. The selected variables using best subset regression are the best ones
in explaining and predicting the response variables. - ✔✔✔ Correct
Answer > False
12. The lasso regression requires a numerical algorithm to minimize the
penalized sum of least squares. - ✔✔✔ Correct Answer > True
2
