Step 2: Midterm Quiz 1 - GT Students (Launch
Proctortrack rst before taking the Midterm Quiz 1)
95 Minute Time Limit
Instructions
Work alone. Do not collaborate with or copy from anyone else.
You may use any of the
...
Step 2: Midterm Quiz 1 - GT Students (Launch
Proctortrack rst before taking the Midterm Quiz 1)
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 or scanned) notes
If any question seems ambiguous, use the most reasonable interpretation (i.e. don't be
like Calvin):
Good Luck!
Question 0 -- Practice with Drag & Drop
0 points possible (ungraded)
Keyboard Help
11/11/2019 Step 2: Midterm Quiz 1 - GT Students (Launch Proctortrack first before taking the Midterm Quiz 1) | Step 2: Midterm Quiz 1 - GT St…
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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.
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.
You have used 6 of 10 attempts.
Reset
Submit
Show Answer Question 1
9/13 points (graded)
Keyboard Help
x=1, y=7
x=2, y=3 x=1, y=4
x=1, y=6
11/11/2019 Step 2: Midterm Quiz 1 - GT Students (Launch Proctortrack first before taking the Midterm Quiz 1) | Step 2: Midterm Quiz 1 - GT St…
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Drag each model or method to a category of question it is commonly used for. 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.
FEEDBACK
Correctly placed 8 items.
Misplaced 1 item. Submit
You have used 1 of 1 attempts.
Reset
Show Answer
CUSUM Principal component
analysis
Support vector machine k-means ARIMA CART Exponential smoothing k-nearest-neighbor Linear regression Logistic regression Random forest Cross validation GARCH
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