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ISYE 6501 Midterm 1 _ Intro Analytics Modeling - ISYE-6501-OAN_O01_QCH_ASY Georgia Institute Of Technology ISYE 6501

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ISYE 6501 Midterm 1 : Intro Analytics Modeling - ISYE-6501-OAN/O01/QCH/ASY ISYE 6501 Midterm 1 Due Mar 7 at 2am Points 100 Questions 45 Available Feb 24 at 2am - Mar 7 at 2am 11 days Time Limit 95 Minutes Instructions onorlock Chrome Extension s exam requires Google Chrome and the Honorlock Chrome Extension.  Extension Required Add the Honorlock extension to continue I agree to Honorlock's Terms of Service ( Honorlock's Privacy Policy ( Get Started 4/14/22, 4:33 PM ISYE 6501 Midterm 1 : Intro Analytics Modeling - ISYE-6501-OAN/O01/QCH/ASY Need Help? 4/14/22, 4:33 PM ISYE 6501 Midterm 1 : Intro Analytics Modeling - ISYE-6501-OAN/O01/QCH/ASY This quiz was locked Mar 7 at 2am. Attempt History Attempt Time Score LATEST Attempt 1 58 minutes 90.25 out of 100 Score for this quiz: 90.25 out of 100 Submitted Mar 7 at 12:33am This attempt took 58 minutes. © 2022 Honorlock Inc. Support ( of Service ( 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 like Calvin): 4/14/22, 4:33 PM ISYE 6501 Midterm 1 : Intro Analytics Modeling - ISYE-6501-OAN/O01/QCH/ASY 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! Ques 12 / 13 pts tion 1 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 None of the other choices 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 None of the other choices xii. Random forest Classification and Response prediction xiii. Support vector machine Classification 4/14/22, 4:33 PM ISYE 6501 Midterm 1 : Intro Analytics Modeling - ISYE-6501-OAN/O01/QCH/ASY Answer 1: Answer 2: Answer 3: Answer 4: Answer 5: Answer 6: Answer 7: Answer 8: Answer 9: Answer 10: Answer 11: Correct! Response prediction Correct! Classification and Response prediction orrect Answer Validation ou Answered None of the other choices Correct! None of the other choices Correct! Response prediction Correct! Variance estimation Correct! Clustering Correct! Classification and Response prediction Correct! Response prediction Correct! Classification and Response prediction Correct! None of the other choices

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4/14/22, 4:33 PM ISYE 6501 Midterm 1 : Intro Analytics Modeling - ISYE-6501-OAN/O01/QCH/ASY


ISYE 6501 Midterm 1
Due Mar 7 at 2am Points 100 Questions 45
Available Feb 24 at 2am - Mar 7 at 2am 11 days Time Limit 95 Minutes


Instructions




onorlock Chrome Extension
s exam requires Google Chrome and the Honorlock Chrome Extension.






Extension Required

Add the Honorlock extension to continue

I agree to Honorlock's Terms of Service (https://honorlock.com/legal/terms) and acknowledge I have read and understand
Honorlock's Privacy Policy (https://honorlock.com/legal/app_privacy)


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,4/14/22, 4:33 PM ISYE 6501 Midterm 1 : Intro Analytics Modeling - ISYE-6501-OAN/O01/QCH/ASY



Need Help?




https://gatech.instructure.com/courses/227940/quizzes/314255?module_item_id=2071088 2/36

,4/14/22, 4:33 PM ISYE 6501 Midterm 1 : Intro Analytics Modeling - ISYE-6501-OAN/O01/QCH/ASY




© 2022 Honorlock Inc. Support (https://honorlock.com/support) Privacy Policy (https://honorlock.com/legal/app_privacy) Terms

of Service (https://honorlock.com/legal/terms)




This quiz was locked Mar 7 at 2am.



Attempt History
Attempt Time Score
LATEST Attempt 1 58 minutes 90.25 out of 100




Score for this quiz: 90.25 out of 100
Submitted Mar 7 at 12:33am
This attempt took 58 minutes.



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 like Calvin):

https://gatech.instructure.com/courses/227940/quizzes/314255?module_item_id=2071088 3/36

, 4/14/22, 4:33 PM ISYE 6501 Midterm 1 : Intro Analytics Modeling - ISYE-6501-OAN/O01/QCH/ASY




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 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 None of the other choices
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 None of the other choices
xii. Random forest Classification and Response prediction
xiii. Support vector machine Classification




https://gatech.instructure.com/courses/227940/quizzes/314255?module_item_id=2071088 4/36

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