95 Minute Time Limit
Instructions
Work alone. Do not collaborate with or copy from
anyone else.
You may use any of the following resources:
One sheet (both sides) of handwritten (not
photocopied, scanned, or printe
...
95 Minute Time Limit
Instructions
Work alone. Do not collaborate with or copy from
anyone else.
You may use any of the following resources:
One sheet (both sides) of handwritten (not
photocopied, scanned, or printed) notes
If any question seems ambiguous, use the most
reasonable interpretation (i e don't be likereasonable interpretation (i.e., don t be like
Calvin):
If you experience any technical issues (i.e. images
not loading) you may refresh the page without
interrupting your exam attempt. If the issue
persists, then please finish the exam and let the
Instructors know about the issue in a private
Piazza post afterwards.
Good luck!
Question 1 12 / 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 mostAnswer 1:
Answer 2:
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 Clustering
viii. k-nearest-neighbor Classification and Response
prediction
ix. Linear regression Response prediction
x. Logistic regression Classification and Response
prediction
xi. Principal component analysis Classification and
Response prediction
xii. Random forest Classification and Response
prediction
xiii. Support vector machine Classification
C Co or rr re ec ct t! ! Response prediction
C Co or rr re ec ct t! ! Classification and Response predictionAnswer 3:
Answer 4:
Answer 5:
Answer 6:
Answer 7:
Answer 8:
Answer 9:
Answer 10:
Answer 11:
C Co or rr re ec ct t! ! Validation
C Co or rr re ec ct t! ! None of the other choices
C Co or rr re ec ct t! ! Response prediction
C Co or rr re ec ct t! ! Variance estimation
C Co or rr re ec ct t! ! Clustering
C Co or rr re ec ct t! ! Classification and Response prediction
C Co or rr re ec ct t! ! Response prediction
C Co or rr re ec ct t! ! Classification and Response predictionAnswer 12:
Answer 13:
Y Yo ou u A An ns sw we er re ed d Classification and Response prediction
C Co or rr re ec ct t A An ns sw we er r None of the other choices
C Co or rr re ec ct t! ! Classification and Response prediction
C Co or rr re ec ct t! ! Classification
Question 2 3 / 3 pts
2. For each of the following models, specify whether it
is designed for use with attribute/feature data or
time-series data:
a. k-nearest-neighbor
b. Support vector machine
c. Random forest
d. GARCH Time series data
e. Logistic regression
f. Principal component analysis
g. Exponential smoothing
h. Linear regression
i. CUSUM
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