Georgia Institute Of TechnologyISYE 6501Final Quiz - Summer 2018 - Verified Learners _ Final Quiz - Summer 2018 - Verified Learners _ ISYE65
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3.5/4 points (graded)
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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 design7/13/2019 Final Quiz - Summer 2018 - Verified Learners | Final Quiz - Summer 2018 - Verified Learners | ISYE6501x Courseware | edX
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Correctly placed 7 items.
Misplaced 1 item.
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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.
Linear regression ogistic regression
Support vector machine
ARIMA
Lasso regression Stepwise regression7/13/2019 Final Quiz - Summer 2018 - Verified Learners | Final Quiz - Summer 2018 - Verified Learners | ISYE6501x Courseware | edX
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Question 3
2.0/4.0 points (graded)
Select all of the following that are examples of time-series data
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Linear regression
Logistic regression Random logistic regression
forest
Exponential smoothing
GARCH
k-nearest-neighbor
classiÕcation
k-nearest-neighbor
classiÕcation tree
Support vector machine7/13/2019 Final Quiz - Summer 2018 - Verified Learners | Final Quiz - Summer 2018 - Verified Learners | ISYE6501x Courseware | edX
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Select all of the following that are examples of time series data.
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Question 4
1.25/5.0 points (graded)
Select all of the following reasons that data should not be scaled until point outliers are removed.
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Question 5
4.0/4.0 points (graded)
Select all of the following situations in which using a variable selection approach like lasso or stepwise
regression would be important.
Characteristics of a day (day of the week, season, temperature, amount of rainfall, etc.) that might
aàect the number of burgers sold
Fraction of burgers sold that had cheese, on each of the past 2000 days
Number of burgers a restaurant sold on each of the past 2000 days
Number of toppings on each burger sold in the past 2000 days
Submit
Valid data would appear to be outliers if data is scaled Õrst.
If data is scaled Õrst, the range of data after outliers are removed will be larger than intended.
If data is scaled Õrst, the range of data after outliers are removed will be smaller than intended.
Point outliers would appear to be valid data if not removed before scaling.
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It is necessary to create a model with a small number of variables.
There are fewer data points than variables.7/13/2019 Final Quiz - Summer 2018 - Verified Learners | Final Quiz - Summer 2018 - Verified Learners | ISYE6501x Courseware | edX
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You have used 1 of 1 attempt
Time-series data is being used.
There are too few data points to avoid overÕtting if all variables are included. [Show Less]