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Question 1
9 / 13 pts
1. For each of the 13 models/methods, select the choice that includes the category of question
it is commonly used for. For models/methods that have more than one correct category, the
one it is most commonly used for; for models/methods that have no correct category listed,
select "None".
i. ARIMA Response prediction
ii. CART Classification and Response prediction
iii. Cross validation Validation
iv. CUSUM None of the other choices
v. Exponential smoothing Response prediction
vi. GARCH Variance estimation
vii. kmeans Classification
viii. k-nearest-neighbor Clustering
ix. Linear regression Validation
x. Logistic regression Classification and Response prediction
xi. Principal component analysis Validation
xii. Random forest Classification and Response prediction
xiii. Support vector machine Classification
Answer 1:
Classification
Clustering
Correct!
Response prediction
Validation
Variance estimation
None of the other choices
Answer 2:
Correct!
Classification and Response prediction
Clustering
Validation
Variance estimation
None of the other choices
Answer 3:
Classification and Response prediction
Clustering
Correct!
Validation
Variance estimation
None of the other choices
Answer 4:
Classification and Response prediction
Clustering
Validation
Variance estimation
Correct!
None of the other choices
Answer 5:
Classification
Clustering
Correct!
Response prediction
Validation
Variance estimation
None of the other choices
Answer 6:
Classification
Clustering
Respnse prediction
Validation
Correct!
Variance estimation
None of the other choices
Answer 7:
You Answered
Classification
Correct Answer
Clustering
Response prediction
Validation
Variance estimation
None of the other choices
Answer 8:
Correct Answer
Classification and Response prediction
You Answered
Clustering
Validation
Variance estimation
None of the other choices
Answer 9:
Classification
Clustering
Correct!
Response prediction
Validation
Variance estimation
None of the other choices
Answer 10:
Correct!
Classification and Response prediction [Show Less]