ISYE 6501 Final Quiz | Questions and Answers | winter 2026 | 100% Correct –GT
Instructions for Questions 1-8
m m m
For each of the following eight questions, select the type
m m m m m m m m m
of problem that the model is best suited for. Each type of
m m m m m m m m m m m m
problem might be used zero, one, or more than one time
m m m m m m m m m m m
in the eight questions.
m m m m
0..5 pts
Question 1
Select the type of problem that linear regression is best suited for.
Classification
Clustering
Experimental design
Correct! 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 selection
0..5 pts
Question 6
Select the type of problem that support vector machine 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 7
Select the type of problem that GARCH is best suited for.
Classification and/or prediction from feature data
Clustering
Experimental design
Instructions for Questions 1-8
m m m
For each of the following eight questions, select the type
m m m m m m m m m
of problem that the model is best suited for. Each type of
m m m m m m m m m m m m
problem might be used zero, one, or more than one time
m m m m m m m m m m m
in the eight questions.
m m m m
0..5 pts
Question 1
Select the type of problem that linear regression is best suited for.
Classification
Clustering
Experimental design
Correct! 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 selection
0..5 pts
Question 6
Select the type of problem that support vector machine 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 7
Select the type of problem that GARCH is best suited for.
Classification and/or prediction from feature data
Clustering
Experimental design
