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Verified Learners 2021 Final Quiz ISYE6501x Courseware edX 100 out of 100 points.
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Verified Learners 2021 Final Quiz ISYE6501x Courseware edX 100 out of 100 points.
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5/2/2020 Verified Learners | Final Quiz | ISYE6501x Courseware | edXCourse Final Q… Final Q… Veri e…
Veri ed Learners
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):
Good Luck!
This the beginning of the Final Quiz. Please make sure that you submit all your answers before the time
runs out. Once you submit an answer to a question, you cannot change it. There is no overall Submit
button.
Information for Question 1
There are eight questions labeled "Question 1." Answer all eight questions. For each of the following eight
questions, select the type of problem that the model is best suited for. For each question there may be more
than one correct answer; you need only choose one. Each type of problem might be used zero, one, or more
https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+1T2020/courseware/1fded79c7c304e148942f8f027c8716b/83d8d14b794f4dbfb6b201f4f… 1/29
,5/2/2020 Verified Learners | Final Quiz | ISYE6501x Courseware | edX
than one time in the eight questions.
Question 1
0.0/0.5 points (graded)
Select the type of problem that stepwise regression is best suited for. There may be more than one correct
answer; you need only choose one.
Classi cation
Clustering
Experimental design
Prediction from feature data
Prediction from time-series data
Variable selection
Submit You have used 1 of 1 attempt
Question 1
0.0/0.5 points (graded)
Select the type of problem that k-nearest-neighbor is best suited for. There may be more than one correct
answer; you need only choose one.
Classi cation
Clustering
Experimental design
Prediction from feature data
Prediction from time-series data
https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+1T2020/courseware/1fded79c7c304e148942f8f027c8716b/83d8d14b794f4dbfb6b201f4f… 2/29
, 5/2/2020 Verified Learners | Final Quiz | ISYE6501x Courseware | edX
Variable selection
Submit You have used 1 of 1 attempt
Question 1
0.5/0.5 points (graded)
Select the type of problem that logistic regression is best suited for. There may be more than one correct
answer; you need only choose one.
Classi cation
Clustering
Experimental design
Prediction from feature data
Prediction from time-series data
Variable selection
Submit You have used 1 of 1 attempt
Question 1
0.5/0.5 points (graded)
Select the type of problem that ARIMA is best suited for. There may be more than one correct answer; you
need only choose one.
Classi cation
Clustering
Experimental design
https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+1T2020/courseware/1fded79c7c304e148942f8f027c8716b/83d8d14b794f4dbfb6b201f4f… 3/29
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