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
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