ISYE 6501 Final Quiz | Questions and Answers | 2026
Update | 100% Correct - GT.
Question 1
Select the type of problem that logistic regression is best suited for.
A) Classification and/or prediction from feature data
B) Variable selection
C) Experimental design
D) Clustering
E) Prediction from time-series data
Correct Answer: A
Rationale: Logistic regression is a classification technique that uses
feature/attribute data to classify observations into categories (e.g.,
spam/not spam, default/no default). It estimates the probability of
class membership using a logistic function.
Question 2
Select the type of problem that lasso regression is best suited for.
A) Clustering
B) Classification
C) Variable selection and/or prediction from feature data
,D) Prediction from time-series data
E) Experimental design
Correct Answer: C
Rationale: Lasso regression performs both variable selection and
regularization by adding an L1 penalty, which shrinks less important
coefficients to exactly zero. This makes it ideal for selecting
relevant features while building a predictive model.
Question 3
Select the type of problem that factorial design is best suited for.
A) Prediction from time-series data
B) Variable selection
C) Experimental design
D) Classification and/or prediction from feature data
E) Clustering
Correct Answer: C
Rationale: Factorial design is an experimental design method that
tests every combination of factors and their levels to determine the
effects of each factor and their interactions on a response variable.
Question 4
,Select the type of problem that stepwise regression is best suited for.
A) Experimental design
B) Clustering
C) Prediction from time-series data
D) Variable selection and/or prediction from feature data
E) Classification
Correct Answer: D
Rationale: Stepwise regression is a variable selection technique that
iteratively adds or removes predictors based on their statistical
significance, aiming to build a parsimonious model with the most
relevant features.
Question 5
Select the type of problem that k-means is best suited for.
A) Variable selection
B) Classification
C) Clustering
D) Prediction from time-series data
E) Experimental design
Correct Answer: C
, Rationale: K-means is an unsupervised clustering algorithm that
partitions data into k clusters based on similarity, minimizing within-
cluster variance.
Question 6
Select the type of problem that support vector machine (SVM) is best
suited for.
A) Experimental design
B) Prediction from time-series data
C) Clustering
D) Variable selection
E) Classification and/or prediction from feature data
Correct Answer: E
Rationale: SVM is a supervised classification technique that finds the
optimal hyperplane separating classes with maximum margin. It
uses feature/attribute data to classify new observations.
Question 7
Select the type of problem that exponential smoothing is best suited for.
A) Prediction from feature data
B) Classification
C) Clustering
Update | 100% Correct - GT.
Question 1
Select the type of problem that logistic regression is best suited for.
A) Classification and/or prediction from feature data
B) Variable selection
C) Experimental design
D) Clustering
E) Prediction from time-series data
Correct Answer: A
Rationale: Logistic regression is a classification technique that uses
feature/attribute data to classify observations into categories (e.g.,
spam/not spam, default/no default). It estimates the probability of
class membership using a logistic function.
Question 2
Select the type of problem that lasso regression is best suited for.
A) Clustering
B) Classification
C) Variable selection and/or prediction from feature data
,D) Prediction from time-series data
E) Experimental design
Correct Answer: C
Rationale: Lasso regression performs both variable selection and
regularization by adding an L1 penalty, which shrinks less important
coefficients to exactly zero. This makes it ideal for selecting
relevant features while building a predictive model.
Question 3
Select the type of problem that factorial design is best suited for.
A) Prediction from time-series data
B) Variable selection
C) Experimental design
D) Classification and/or prediction from feature data
E) Clustering
Correct Answer: C
Rationale: Factorial design is an experimental design method that
tests every combination of factors and their levels to determine the
effects of each factor and their interactions on a response variable.
Question 4
,Select the type of problem that stepwise regression is best suited for.
A) Experimental design
B) Clustering
C) Prediction from time-series data
D) Variable selection and/or prediction from feature data
E) Classification
Correct Answer: D
Rationale: Stepwise regression is a variable selection technique that
iteratively adds or removes predictors based on their statistical
significance, aiming to build a parsimonious model with the most
relevant features.
Question 5
Select the type of problem that k-means is best suited for.
A) Variable selection
B) Classification
C) Clustering
D) Prediction from time-series data
E) Experimental design
Correct Answer: C
, Rationale: K-means is an unsupervised clustering algorithm that
partitions data into k clusters based on similarity, minimizing within-
cluster variance.
Question 6
Select the type of problem that support vector machine (SVM) is best
suited for.
A) Experimental design
B) Prediction from time-series data
C) Clustering
D) Variable selection
E) Classification and/or prediction from feature data
Correct Answer: E
Rationale: SVM is a supervised classification technique that finds the
optimal hyperplane separating classes with maximum margin. It
uses feature/attribute data to classify new observations.
Question 7
Select the type of problem that exponential smoothing is best suited for.
A) Prediction from feature data
B) Classification
C) Clustering
