12/15/25, 10:28 PM ISyE 6501 Final Quiz
ISyE 6501 Final Quiz Results
Score for this quiz: 94.28 out of 100.04
Submitted Dec 5 at 11:28am
This attempt took 109 minutes.
180 Minute Time Limit
Instructions
Work alone. Do not collaborate with or copy from anyone else.
You may use any of the following resources:
Two sheets (both sides) of handwritten (not photocopied, scanned, or printed) notes
If any question seems ambiguous, use the most reasonable interpretation (i.e., don't be like Calvin):
If you experience any technical issues (i.e. images not loading) you may refresh the page
without interrupting your exam attempt. If the issue persists, then please finish the exam and
let the Instructors know about the issue in a private Piazza post afterwards.
Good luck!
Instructions for Questions 1-8
For each of the following eight questions, select the type of problem that the model is best suited
for. Each type of problem might be used zero, one, or more than one time in the eight questions.
Question 1
0..5 pts
Select the type of problem that fractional factorial design is best suited for.
1/39
,12/15/25, 10:28 PM ISyE 6501 Final Quiz
Clustering
Classification
Prediction from time-series data
Experimental design
Variable selection and/or prediction from feature data
Question 2
0..5 pts
Select the type of problem that GARCH is best suited for.
Classification and/or prediction from feature data
Clustering
Variable selection
Experimental design
Prediction from time-series data
Question 3
0..5 pts
Select the type of problem that lasso regression is best suited for.
Clustering
Variable selection and/or prediction from feature data
Experimental design
Prediction from time-series data
Classification
Question 4
0..5 pts
Select the type of problem that k-nearest-neighbor is best suited for.
Clustering
Variable selection
Classification and/or prediction from feature data
Prediction from time-series data
Experimental design
Question 5
0..5 pts
Select the type of problem that logistic regression is best suited for.
Clustering
2/39
,12/15/25, 10:28 PM ISyE 6501 Final Quiz
Prediction from time-series data
Classification and/or prediction from feature data
Experimental design
Variable selection
Question 6
0..5 pts
Select the type of problem that linear regression is best suited for.
Experimental design
Classification
Clustering
Variable selection
Prediction from time-series data
Prediction from feature data
Question 7
0..5 pts
Select the type of problem that factorial design is best suited for.
Clustering
Classification and/or prediction from feature data
Variable selection
Experimental design
Prediction from time-series data
Question 8
0..5 pts
Select the type of problem that exponential smoothing is best suited for.
Prediction from time-series data
Variable selection
Clustering
Experimental design
Prediction from feature data
Classification
Instructions for Questions 9-16
For each of the following eight questions, select the type of analysis that the model is best suited
for. Each type of analysis might be used zero, one, or more than one time in the eight questions.
3/39
, 12/15/25, 10:28 PM ISyE 6501 Final Quiz
Question 9
0..63 pts
Select the type of analysis that a k-nearest-neighbor classification tree is best suited for.
Using feature data to predict the amount of something two time periods in the future
Using feature data to predict whether or not something will happen two time periods in the future
Using feature data to predict the probability of something happening two time periods in the future
Using time-series data to predict the amount of something two time periods in the future
Using time-series data to predict the variance of something two time periods in the future
Question 10
0..63 pts
Select the type of analysis that logistic regression is best suited for.
Using time-series data to predict the variance of something two time periods in the future
Using feature data to predict the amount of something two time periods in the future
Using time-series data to predict the amount of something two time periods in the future
Using feature data to predict the probability something happening and/or whether or not something will happen two time
periods in the future
Question 11
0..63 pts
Select the type of analysis that a linear regression tree is best suited for.
Using time-series data to predict the variance of something two time periods in the future
Using feature data to predict the amount of something two time periods in the future
Using feature data to predict whether or not something will happen two time periods in the future
Using time-series data to predict the amount of something two time periods in the future
Using feature data to predict the probability of something happening two time periods in the future
Question 12
0..63 pts
Select the type of analysis that a random logistic regression forest is best suited for.
Using feature data to predict the probability of something happening and/or whether or not something will happen two
time periods in the future
Using feature data to predict the amount of something two time periods in the future
Using time-series data to predict the variance of something two time periods in the future
Using time-series data to predict the amount of something two time periods in the future
4/39
ISyE 6501 Final Quiz Results
Score for this quiz: 94.28 out of 100.04
Submitted Dec 5 at 11:28am
This attempt took 109 minutes.
180 Minute Time Limit
Instructions
Work alone. Do not collaborate with or copy from anyone else.
You may use any of the following resources:
Two sheets (both sides) of handwritten (not photocopied, scanned, or printed) notes
If any question seems ambiguous, use the most reasonable interpretation (i.e., don't be like Calvin):
If you experience any technical issues (i.e. images not loading) you may refresh the page
without interrupting your exam attempt. If the issue persists, then please finish the exam and
let the Instructors know about the issue in a private Piazza post afterwards.
Good luck!
Instructions for Questions 1-8
For each of the following eight questions, select the type of problem that the model is best suited
for. Each type of problem might be used zero, one, or more than one time in the eight questions.
Question 1
0..5 pts
Select the type of problem that fractional factorial design is best suited for.
1/39
,12/15/25, 10:28 PM ISyE 6501 Final Quiz
Clustering
Classification
Prediction from time-series data
Experimental design
Variable selection and/or prediction from feature data
Question 2
0..5 pts
Select the type of problem that GARCH is best suited for.
Classification and/or prediction from feature data
Clustering
Variable selection
Experimental design
Prediction from time-series data
Question 3
0..5 pts
Select the type of problem that lasso regression is best suited for.
Clustering
Variable selection and/or prediction from feature data
Experimental design
Prediction from time-series data
Classification
Question 4
0..5 pts
Select the type of problem that k-nearest-neighbor is best suited for.
Clustering
Variable selection
Classification and/or prediction from feature data
Prediction from time-series data
Experimental design
Question 5
0..5 pts
Select the type of problem that logistic regression is best suited for.
Clustering
2/39
,12/15/25, 10:28 PM ISyE 6501 Final Quiz
Prediction from time-series data
Classification and/or prediction from feature data
Experimental design
Variable selection
Question 6
0..5 pts
Select the type of problem that linear regression is best suited for.
Experimental design
Classification
Clustering
Variable selection
Prediction from time-series data
Prediction from feature data
Question 7
0..5 pts
Select the type of problem that factorial design is best suited for.
Clustering
Classification and/or prediction from feature data
Variable selection
Experimental design
Prediction from time-series data
Question 8
0..5 pts
Select the type of problem that exponential smoothing is best suited for.
Prediction from time-series data
Variable selection
Clustering
Experimental design
Prediction from feature data
Classification
Instructions for Questions 9-16
For each of the following eight questions, select the type of analysis that the model is best suited
for. Each type of analysis might be used zero, one, or more than one time in the eight questions.
3/39
, 12/15/25, 10:28 PM ISyE 6501 Final Quiz
Question 9
0..63 pts
Select the type of analysis that a k-nearest-neighbor classification tree is best suited for.
Using feature data to predict the amount of something two time periods in the future
Using feature data to predict whether or not something will happen two time periods in the future
Using feature data to predict the probability of something happening two time periods in the future
Using time-series data to predict the amount of something two time periods in the future
Using time-series data to predict the variance of something two time periods in the future
Question 10
0..63 pts
Select the type of analysis that logistic regression is best suited for.
Using time-series data to predict the variance of something two time periods in the future
Using feature data to predict the amount of something two time periods in the future
Using time-series data to predict the amount of something two time periods in the future
Using feature data to predict the probability something happening and/or whether or not something will happen two time
periods in the future
Question 11
0..63 pts
Select the type of analysis that a linear regression tree is best suited for.
Using time-series data to predict the variance of something two time periods in the future
Using feature data to predict the amount of something two time periods in the future
Using feature data to predict whether or not something will happen two time periods in the future
Using time-series data to predict the amount of something two time periods in the future
Using feature data to predict the probability of something happening two time periods in the future
Question 12
0..63 pts
Select the type of analysis that a random logistic regression forest is best suited for.
Using feature data to predict the probability of something happening and/or whether or not something will happen two
time periods in the future
Using feature data to predict the amount of something two time periods in the future
Using time-series data to predict the variance of something two time periods in the future
Using time-series data to predict the amount of something two time periods in the future
4/39
