3/3/2020 GT Students and Verified | Midterm Quiz 1 | ISYE6501x Courseware | edX
Good Luck!
Question 0 -- Practice with Drag & Drop
0 points possible (ungraded)
Keyboard Help
Some of the quiz questions are Drag-and-Drop. You'll need to drag one or more answers
to a location.
Some answers might not be used at all, and some answers will be used once. To get full
credit you might need to drag more than one answer to some locations, just one answer
to other locations, and some locations might not have any correct answers.
Please do this quick practice question. The question will give you feedback to make sure
you've done it correctly, but the real quiz questions will not.
x=1,y=7
x=2,y=3 x=1,y=4
…
,3/3/2020 GT Students and Verified | Midterm Quiz 1 | ISYE6501x Courseware | edX
x=1,y=6
Submit You have used 1 of 10 attempts.
Reset Show Answer
FEEDBACK
Correctly placed 3 items.
Good work! You have completed this drag and drop problem. Note that: (1) There are two places
you could've put (x=2,y=3); either one would be correct. (2) One location (x+y=2) had nothing
dragged to it. Another location had two answers dragged to it. (3) One choice (x=1,y=7) was not
dragged anywhere, since it wasn't correct for anything.
Question 1
9/13 points (graded)
Keyboard Help
Drag each of the 13 models/methods to one of the 5 categories of question it is commonly
used for, unless no correct category is listed for it. For models/methods that have more
than one correct category, choose any one correct category; for models/methods that
have no correct category listed, do not drag them.
Principal component
analysis
https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+1T2020/courseware/a8e7783f3b6d4b21bbf5720bb6f02a92/5b27328248f3436fac8492b2… 3/26
, 3/3/2020 GT Students and Verified | Midterm Quiz 1 | ISYE6501x Courseware | edX
CART k-nearest-neighbor Random forest
k-means
Linear regression Logistic regression
Support vector machine
ARIMA Cross validation CUSUM
Exponential smoothing
GARCH
Submit You have used 1 of 1 attempts.
Reset Show Answer
FEEDBACK
Correctly placed 8 items.
Misplaced 4 items.
Good work! You have completed this drag and drop problem.
https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+1T2020/courseware/a8e7783f3b6d4b21bbf5720bb6f02a92/5b27328248f3436fac8492b2… 4/26
Good Luck!
Question 0 -- Practice with Drag & Drop
0 points possible (ungraded)
Keyboard Help
Some of the quiz questions are Drag-and-Drop. You'll need to drag one or more answers
to a location.
Some answers might not be used at all, and some answers will be used once. To get full
credit you might need to drag more than one answer to some locations, just one answer
to other locations, and some locations might not have any correct answers.
Please do this quick practice question. The question will give you feedback to make sure
you've done it correctly, but the real quiz questions will not.
x=1,y=7
x=2,y=3 x=1,y=4
…
,3/3/2020 GT Students and Verified | Midterm Quiz 1 | ISYE6501x Courseware | edX
x=1,y=6
Submit You have used 1 of 10 attempts.
Reset Show Answer
FEEDBACK
Correctly placed 3 items.
Good work! You have completed this drag and drop problem. Note that: (1) There are two places
you could've put (x=2,y=3); either one would be correct. (2) One location (x+y=2) had nothing
dragged to it. Another location had two answers dragged to it. (3) One choice (x=1,y=7) was not
dragged anywhere, since it wasn't correct for anything.
Question 1
9/13 points (graded)
Keyboard Help
Drag each of the 13 models/methods to one of the 5 categories of question it is commonly
used for, unless no correct category is listed for it. For models/methods that have more
than one correct category, choose any one correct category; for models/methods that
have no correct category listed, do not drag them.
Principal component
analysis
https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+1T2020/courseware/a8e7783f3b6d4b21bbf5720bb6f02a92/5b27328248f3436fac8492b2… 3/26
, 3/3/2020 GT Students and Verified | Midterm Quiz 1 | ISYE6501x Courseware | edX
CART k-nearest-neighbor Random forest
k-means
Linear regression Logistic regression
Support vector machine
ARIMA Cross validation CUSUM
Exponential smoothing
GARCH
Submit You have used 1 of 1 attempts.
Reset Show Answer
FEEDBACK
Correctly placed 8 items.
Misplaced 4 items.
Good work! You have completed this drag and drop problem.
https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+1T2020/courseware/a8e7783f3b6d4b21bbf5720bb6f02a92/5b27328248f3436fac8492b2… 4/26
