ISYE 6501 FINAL QUIZ QUESTIONS AND ANSWERS
2026 UPDATE |100% CORRECT.
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.
0..5 pts
Question 1
Select the type of problem that linear regression is best suited for.
Classification
Clustering
Experimental design
Prediction from feature data
Prediction from time-series data
Variable selection
0..5 pts
Question 2
, Select the type of problem that fractional factorial design is best
suited for.
Classification
Clustering
Correct! Experimental design
Prediction from time-series data
Variable selection and/or prediction from feature data
0..5 pts
Question 3
Select the type of problem that lasso regression is best suited for.
Classification
Clustering
Experimental design
Prediction from time-series data
Correct! Variable selection and/or prediction from feature data
, 0..5 pts
Question 4
Select the type of problem that logistic regression is best suited
for.
Correct! Classification and/or prediction from feature data
Clustering
Experimental design
Prediction from time-series data
Variable selection
0..5 pts
Question 5
Select the type of problem that k-means is best suited for.
Classification
Correct! Clustering
Experimental design
Prediction from feature data
Prediction from time-series data
, Variable vselection
0.5 v/ v0.5
Question 6 v
pts
Select vthe vtype vof vproblem vthat vsupport vvector vmachine vis vbest
suited vfor.
Correct! Classification vand/or vprediction vfrom vfeature vdata
Clustering
Experimental vdesign
Prediction vfrom vtime-series vdata
Variable vselection
0.5 v/ v0.5
Question 7 v
pts
Select vthe vtype vof vproblem vthat vGARCH vis vbest vsuited
for.
Classification vand/or vprediction vfrom vfeature
data
Clustering
Experimental vdesign
2026 UPDATE |100% CORRECT.
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.
0..5 pts
Question 1
Select the type of problem that linear regression is best suited for.
Classification
Clustering
Experimental design
Prediction from feature data
Prediction from time-series data
Variable selection
0..5 pts
Question 2
, Select the type of problem that fractional factorial design is best
suited for.
Classification
Clustering
Correct! Experimental design
Prediction from time-series data
Variable selection and/or prediction from feature data
0..5 pts
Question 3
Select the type of problem that lasso regression is best suited for.
Classification
Clustering
Experimental design
Prediction from time-series data
Correct! Variable selection and/or prediction from feature data
, 0..5 pts
Question 4
Select the type of problem that logistic regression is best suited
for.
Correct! Classification and/or prediction from feature data
Clustering
Experimental design
Prediction from time-series data
Variable selection
0..5 pts
Question 5
Select the type of problem that k-means is best suited for.
Classification
Correct! Clustering
Experimental design
Prediction from feature data
Prediction from time-series data
, Variable vselection
0.5 v/ v0.5
Question 6 v
pts
Select vthe vtype vof vproblem vthat vsupport vvector vmachine vis vbest
suited vfor.
Correct! Classification vand/or vprediction vfrom vfeature vdata
Clustering
Experimental vdesign
Prediction vfrom vtime-series vdata
Variable vselection
0.5 v/ v0.5
Question 7 v
pts
Select vthe vtype vof vproblem vthat vGARCH vis vbest vsuited
for.
Classification vand/or vprediction vfrom vfeature
data
Clustering
Experimental vdesign
