ISYE Exam Final Quiz | Questions and Answers
| 2026 Update | 100% Correct.
Students also studied
C
Terms in this set (49)
What type of problem is STEPWISE e) Variable selection and/or prediction from feature data
REGRESSION best suited for?
a)Classification Stepwise regression starts with no factors and iteratively finds
b) Clustering best new factors
c) Experimental Design
d) Prediction from time-series data
e)Variable selection and/or prediction from
feature data
What type of problem is e) Variable selection and/or prediction from feature data
LASSO REGRESSION best
suited for?
a)Classification
b) Clustering
c) Experimental Design
d) Prediction from time-series data
e)Variable selection and/or prediction from
feature data
What type of problem is FRACTIONAL c) Experimental Design
FACTORIAL DESIGN best suited for?
a)Classification
b) Clustering
c) Experimental Design
d) Prediction from time-series data
e)Variable selection and/or prediction from
feature data
,What type of problem is SUPPORT a)Classification and/or prediction from feature data
VECTOR MACHINE best suited for?
a)Classification and/or prediction from
feature data
b) Clustering
c) Experimental Design
d) Prediction from time-series data
e)Variable selection
What type of problem is K-MEANS best b) Clustering
suited for?
a)Classification
b) Clustering
c) Experimental Design
d) Prediction from feature data
e) Prediction from time-series data
e) Variable selection
What type of problem is EXPONENTIAL e) Prediction from time-series data
SMOOTHING best suited for?
a)Classification
b) Clustering
c) Experimental Design
d) Prediction from feature data
e) Prediction from time-series data
f) Variable selection
What type of problem is GARCH best suited d) Prediction from time-series data
for?
a)Classification and/or prediction from
feature data
b) Clustering
c) Experimental Design
d) Prediction from time-series data
e)Variable selection
What type of problem is ARIMA best suited d) Prediction from time-series data
for?
a)Classification and/or prediction from
feature data
b) Clustering
c) Experimental Design
d) Prediction from time-series data
e)Variable selection
, Select the type of analysis that K-NEAREST- a) Using feature data to predict the amount and/or probability
NEIGHBOR REGRESSION is best suited for. of something two time periods in the future
a) Using feature data to predict the
amount and/or probability of something
two time periods in the future
b) Using feature data to predict whether
or not something will happen two time
periods in the future
c) Using time-series data to predict
the amount of something two time
periods in the future
d) Using time-series data to predict
the variance of something two time
periods in the future
Select the type of analysis that LOGISTIC b) Using feature data to predict the probability of something
REGRESSION TREE is best suited for. happening and/or whether or not something will happen two
a) Using feature data to predict the time periods in the future
amount of something two time periods in
the future
b) Using feature data to predict the
probability of something happening and/or
whether or not something will happen two
time periods in the future
c) Using time-series data to predict
the amount of something two time
periods in the future
d) Using time-series data to predict
the variance of something two time
periods in the future
Select the type of analysis that GARCH is e) Using time-series data to predict the variance of something
best suited for. two time periods in the future
a) Using feature data to predict the
amount of something two !me periods in
the future
b) Using feature data to predict the
probability of something happening two
time periods in the future
c) Using feature data to predict whether
or not something will happen two time
periods in the future
d) Using time-series data to predict
the amount of something two time
periods in the future
e) Using time-series data to predict
the variance of something two time
periods in the future
| 2026 Update | 100% Correct.
Students also studied
C
Terms in this set (49)
What type of problem is STEPWISE e) Variable selection and/or prediction from feature data
REGRESSION best suited for?
a)Classification Stepwise regression starts with no factors and iteratively finds
b) Clustering best new factors
c) Experimental Design
d) Prediction from time-series data
e)Variable selection and/or prediction from
feature data
What type of problem is e) Variable selection and/or prediction from feature data
LASSO REGRESSION best
suited for?
a)Classification
b) Clustering
c) Experimental Design
d) Prediction from time-series data
e)Variable selection and/or prediction from
feature data
What type of problem is FRACTIONAL c) Experimental Design
FACTORIAL DESIGN best suited for?
a)Classification
b) Clustering
c) Experimental Design
d) Prediction from time-series data
e)Variable selection and/or prediction from
feature data
,What type of problem is SUPPORT a)Classification and/or prediction from feature data
VECTOR MACHINE best suited for?
a)Classification and/or prediction from
feature data
b) Clustering
c) Experimental Design
d) Prediction from time-series data
e)Variable selection
What type of problem is K-MEANS best b) Clustering
suited for?
a)Classification
b) Clustering
c) Experimental Design
d) Prediction from feature data
e) Prediction from time-series data
e) Variable selection
What type of problem is EXPONENTIAL e) Prediction from time-series data
SMOOTHING best suited for?
a)Classification
b) Clustering
c) Experimental Design
d) Prediction from feature data
e) Prediction from time-series data
f) Variable selection
What type of problem is GARCH best suited d) Prediction from time-series data
for?
a)Classification and/or prediction from
feature data
b) Clustering
c) Experimental Design
d) Prediction from time-series data
e)Variable selection
What type of problem is ARIMA best suited d) Prediction from time-series data
for?
a)Classification and/or prediction from
feature data
b) Clustering
c) Experimental Design
d) Prediction from time-series data
e)Variable selection
, Select the type of analysis that K-NEAREST- a) Using feature data to predict the amount and/or probability
NEIGHBOR REGRESSION is best suited for. of something two time periods in the future
a) Using feature data to predict the
amount and/or probability of something
two time periods in the future
b) Using feature data to predict whether
or not something will happen two time
periods in the future
c) Using time-series data to predict
the amount of something two time
periods in the future
d) Using time-series data to predict
the variance of something two time
periods in the future
Select the type of analysis that LOGISTIC b) Using feature data to predict the probability of something
REGRESSION TREE is best suited for. happening and/or whether or not something will happen two
a) Using feature data to predict the time periods in the future
amount of something two time periods in
the future
b) Using feature data to predict the
probability of something happening and/or
whether or not something will happen two
time periods in the future
c) Using time-series data to predict
the amount of something two time
periods in the future
d) Using time-series data to predict
the variance of something two time
periods in the future
Select the type of analysis that GARCH is e) Using time-series data to predict the variance of something
best suited for. two time periods in the future
a) Using feature data to predict the
amount of something two !me periods in
the future
b) Using feature data to predict the
probability of something happening two
time periods in the future
c) Using feature data to predict whether
or not something will happen two time
periods in the future
d) Using time-series data to predict
the amount of something two time
periods in the future
e) Using time-series data to predict
the variance of something two time
periods in the future
