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Midterm Quiz 1 Summer 2021 SU21 Introduction to Analytics Modeling 100 out of 100 points. R90,00   Add to cart

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Midterm Quiz 1 Summer 2021 SU21 Introduction to Analytics Modeling 100 out of 100 points.

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Midterm Quiz 1 Summer 2021 SU21 Introduction to Analytics Modeling 100 out of 100 points.

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  • November 20, 2021
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8/2/2021 Midterm Quiz 1 | Midterm Quiz 1 -- Summer 2021 | SU21: Introduction to Analytics Modeling |


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SU21: Introduction to Analytics Modeling
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,8/2/2021 Midterm Quiz 1 | Midterm Quiz 1 -- Summer 2021 | SU21: Introduction to Analytics Modeling |




Midterm Quiz 1 due Jun 21, 2021 02:00 EDT Completed
View the Proctoring System Requirements to ensure that your set-up will work
is only supported on MacOS and Windows machines. We recommend 2 GB of f
machine, and a functioning Webcam is required. Your space should be clean, n
walls or surfaces, and you should be alone in the room. Please make sure that
ID before taking the exam.

95 Minute Time Limit
Instructions
Work alone. Do not collaborate with or copy from anyone else.
Work the problems in any order you wish, but submit your answer to each be
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




If you experience any technical issues (i.e. Math Processing Error), please
selected answers and refresh the page. If the issue persists, then please f
the Instructors know about the issue in a private Piazza post afterwards.

, 8/2/2021 Midterm Quiz 1 | Midterm Quiz 1 -- Summer 2021 | SU21: Introduction to Analytics Modeling |

x=1,y=4 x=1,y=7
x=2,y=3




x=1,y=6


Submit You have used 1 of 10 attempts. Reset

S
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 Correctly placed 2 items.
 Did not place 1 required item.

 Drag the items to the places they're required to go.




Question 1
13/13 points (graded)
Keyboard Help
Drag each of the 13 models/methods to one of the 5 categories of question it



commonly used for, unless no correct category is listed for it. For models/meth
have more than one correct category, choose any one correct category; for
models/methods that have no correct category listed, do not drag them.

CUSUM Principal component
analysis





CART k-nearest-neighbor Logistic regression

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