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ISYE6501x Introduction to Analytics Modeling Final Quiz Verified Learners, Summer 2018

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ISYE6501x Introduction to Analytics Modeling Final Quiz Verified Learners, Summer 2018ISYE6501x Introduction to Analytics Modeling Final Quiz Verified Learners, Summer 2018ISYE6501x Introduction to Analytics Modeling Final Quiz Verified Learners, Summer 2018

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7/13/2019 Final Quiz - Summer 2018 - Verified Learners | Final Quiz - Summer 2018 - Verified Learners | ISYE6501x Courseware | edX


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Course  Final Q…  Final Q…  Final Q…




Final Quiz - Summer 2018 - Veri ed Learners
View the Proctoring System Requirements to ensure that your set-up will work. Note that proctoring is only
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180 Minute Time Limit
Instructions

Work alone. Do not collaborate with or copy from anyone else.

You may use any of the following resources:

Two sheets (both sides) of handwritten (not photocopied or scanned) notes

Blank scratch paper and pen/pencil

If any question seems ambiguous, use the most reasonable interpretation (i.e. don't be like Calvin):




https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+2T2018/courseware/cb081b45be5a4f47b872680f7546f851/e6b14ac9df124bbd9c830e9… 1/21

,7/13/2019 Final Quiz - Summer 2018 - Verified Learners | Final Quiz - Summer 2018 - Verified Learners | ISYE6501x Courseware | edX




Good Luck!



Question 1
3.5/4 points (graded)

 Keyboard Help
Drag each of the solution methods to the type of problem it's designed for. Each model or method
should be placed somewhere, so you may need to put more than one in the same answer box. There
may be more than one correct answer for some models/methods.




k-means




Fractional factorial design




https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+2T2018/courseware/cb081b45be5a4f47b872680f7546f851/e6b14ac9df124bbd9c830e9… 2/21

, 7/13/2019 Final Quiz - Summer 2018 - Verified Learners | Final Quiz - Summer 2018 - Verified Learners | ISYE6501x Courseware | edX




Linear regression Logistic regression


Support vector machine




ARIMA




Lasso regression Stepwise regression




Submit You have used 1 of 1 attempts.



 
Reset Show Answer



FEEDBACK
 Correctly placed 7 items.

 Misplaced 1 item.

 Good work! You have completed this drag and drop problem.

 Final attempt was used, highest score is 3.5




Question 2
5/5 points (graded)

 Keyboard Help
Drag each of the models to the type of data and type of question it's best suited for. Each model or
method should be placed somewhere, so you may need to put more than one in the same answer box.
There may be more than one correct answer for some models/methods.




https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+2T2018/courseware/cb081b45be5a4f47b872680f7546f851/e6b14ac9df124bbd9c830e9… 3/21

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