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
... [Show More] choose one.
You have used 1 of 1 attempt
Question 1
0.5/0.5 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.
ClassiÕcation
Clustering
Experimental design
Prediction from feature data
Prediction from time-series data
Variable selection
Submit
ClassiÕcation
Clustering
Experimental design12/10/2020 GT Students | Final Quiz | ISYE6501xCourseware | edX
https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+2T2020a/courseware/1fded79c7c304e148942f8f027c8716b/83d8d14b794f4dbfb6b201f4f944f417/?ac… 3/30
You have used 1 of 1 attempt
Question 1
0.5/0.5 points (graded)
Select the type of problem that exponential smoothing is best suited for. There may be more than one
correct answer; you need only choose one.
You have used 1 of 1 attempt
Question 1
0.5/0.5 points (graded)
Select the type of problem that fractional factorial design is best suited for. There may be more than one
correct answer; you need only choose one.
Prediction from feature data
Prediction from time-series data
Variable selection
Submit
ClassiÕcation
Clustering
Experimental design
Prediction from feature data
Prediction from time-series data
Variable selection
Submit
ClassiÕcation12/10/2020 GT Students | Final Quiz | ISYE6501xCourseware | edX
https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+2T2020a/courseware/1fded79c7c304e148942f8f027c8716b/83d8d14b794f4dbfb6b201f4f944f417/?ac… 4/30
You have used 1 of 1 attempt
Question 1
0.5/0.5 points (graded)
Select the type of problem that a support vector machine is best suited for. There may be more than one
correct answer; you need only choose one.
You have used 1 of 1 attempt
Question 1
0.5/0.5 points (graded)
Select the type of problem that k-means is best suited for. There may be more than one correct answer; you
need only choose one.
Clustering
Experimental design
Prediction from feature data
Prediction from time-series data
Variable selection
Submit
ClassiÕcation
Clustering
Experimental design
Prediction from feature data
Prediction from time-series data
Variable selection
Submit12/10/2020 GT Students | Final Quiz | ISYE6501xCourseware | edX
https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+2T2020a/courseware/1fded79c7c304e148942f8f027c8716b/83d8d14b794f4dbfb6b201f4f944f417/?ac… 5/30
You have used 1 of 1 attempt
Question 1
0.5/0.5 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.
You have used 1 of 1 attempt
Question 1
ClassiÕcation
Clustering
Experimental design
Prediction from feature data
Prediction from time-series data
Variable selection
Submit
ClassiÕcation
Clustering
Experimental design
Prediction from feature data
Prediction from time-series data
Variable selection
Submit12/10/2020 GT Students | Final Quiz | ISYE6501xCourseware | edX
https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+2T2020a/courseware/1fded79c7c304e148942f8f027c8716b/83d8d14b794f4dbfb6b201f4f944f417/?ac… 6/30
0.5/0.5 points (graded)
Select the type of problem that linear regression is best suited for. There may be more than one correct
answer; you need only choose one.
You have used 1 of 1 attempt
Information for Question 2
There are eight questions labeled "Question 2." Answer all eight questions. For each of the following eight
questions, select the type of analysis 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 analysis might be used zero, one, or more
than one time in the eight questions.
Question 2
0.625/0.625 points (graded)
Select the type of analysis that a support vector machine is best suited for. There may be more than one
correct answer; you need only choose one.
ClassiÕcation
Clustering
Experimental design
Prediction from feature data
Prediction from time-series data
Variable selection
Submit
Using feature data to predict the amount of something two time periods in the future
Using feature data to predict the probability of something happening two time periods in the future
Using feature data to predict the whether or not something will happen two time periods in the
future
Using time-series data to predict the amount of something two time periods in the future12/10/2020 GT Students | Final Quiz | ISYE6501xCourseware | edX
https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+2T2020a/courseware/1fded79c7c304e148942f8f027c8716b/83d8d14b794f4dbfb6b201f4f944f417/?ac… 7/30
You have used 1 of 1 attempt
Question 2
0.625/0.625 points (graded)
Select the type of analysis that k-nearest-neighbor classiÕcation is best suited for. There may be more than
one correct answer; you need only choose one.
You have used 1 of 1 attempt
Question 2
0.625/0.625 points (graded)
Select the type of analysis that k-nearest-neighbor regression is best suited for. There may be more than one
correct answer; you need only choose one.
Using time-series data to predict the variance of something two time periods in the future
Submit
Using feature data to predict the amount of something two time periods in the future
Using feature data to predict the probability of something happening two time periods in the future
Using feature data to predict the whether or not something will happen two time periods in the
future
Using time-series data to predict the amount of something two time periods in the future
Using time-series data to predict the variance of something two time periods in the future
Submit
Using feature data to predict the amount of something two time periods in the future
Using feature data to predict the probability of something happening two time periods in the future
Using feature data to predict the whether or not something will happen two time periods in the
future
Using time-series data to predict the amount of something two time periods in the future12/10/2020 GT Students | Final Quiz | ISYE6501xCourseware | edX
https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+2T2020a/courseware/1fded79c7c304e148942f8f027c8716b/83d8d14b794f4dbfb6b201f4f944f417/?ac… 8/30
You have used 1 of 1 attempt
Question 2
0.625/0.625 points (graded)
Select the type of analysis that ARIMA is best suited for. There may be more than one correct answer; you
need only choose one. [Show Less]