ISyE 6501 Final Quiz.. Honorlock Chrome Extension

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185 Minute Time Limit Instruc!ons Work alone. Do not collaborate with or copy from anyone else. You may use any of the following resources: Two sheets (both sides) of handwri"en (not photocopied, ... scanned, or printed) notes If any ques!on seems ambiguous, use the most reasonable interpreta!on (i.e., don't be like Calvin): Good luck! Instruc!ons for Ques!ons 1-8 For each of the following eight questions, select the type of problem that the model is best suited for. Each type of problem might be used zero, one, or more than one time in the eight questions. Ques!on 1 0.5 / 0.5 pts Select the type of problem that stepwise regression is best suited for. Classifica!on Clustering Experimental design Predic!on from !me-series data Correct! Correct! Variable selec!on and/or predic!on from feature data Ques!on 2 0.5 / 0.5 pts Select the type of problem that lasso regression is best suited for. Classifica!on Clustering Experimental design Predic!on from !me-series data Correct! Correct! Variable selec!on and/or predic!on from feature data Ques!on 3 0.5 / 0.5 pts Select the type of problem that frac!onal factorial design is best suited for. Classifica!on Clustering Correct! Correct! Experimental design Predic!on from !me-series data Variable selec!on and/or predic!on from feature data Ques!on 4 0.5 / 0.5 pts Select the type of problem that support vector machine is best suited for. Correct! Correct! Classifica!on and/or predic!on from feature data Clustering Experimental design Predic!on from !me-series data Variable selec!on Ques!on 5 0.5 / 0.5 pts Select the type of problem that k-means is best suited for. Classifica!on Correct! Correct! Clustering Experimental design Predic!on from feature data Predic!on from !me-series data Variable selec!on Ques!on 6 0.5 / 0.5 pts Select the type of problem that exponen!al smoothing is best suited for. Classifica!on Clustering Experimental design Predic!on from feature data Correct! Correct! Predic!on from !me-series data Variable selec!on Ques!on 7 0 / 0.5 pts Select the type of problem that GARCH is best suited for. You Answered You Answered Classifica!on and/or predic!on from feature data Clustering Experimental design Correct Answer Correct Answer Predic!on from !me-series data Variable selec!on Ques!on 8 0 / 0.5 pts Select the type of problem that ARIMA is best suited for. You Answered You Answered Classifica!on and/or predic!on from feature data Clustering Experimental design Correct Answer Correct Answer Predic!on from !me-series data Variable selec!on Instruc!ons for Ques!ons 9-16 For each of the following eight questions, select the type of analysis that the model is best suited for. Each type of analysis might be used zero, one, or more than one time in the eight questions. Ques!on 9 0 / 0.63 pts Select the type of analysis that k-nearest-neighbor regression is best suited for. Correct Answer Correct Answer Using feature data to predict the amount and/or probability of something two !me periods in the future You Answered You Answered Using feature data to predict whether or not something will happen two !me periods in the future Using !me-series data to predict the amount of something two !me periods in the future Using !me-series data to predict the variance of something two !me periods in the future Ques!on 10 0 / 0.63 pts Select the type of analysis that a logis!c regression tree is best suited for. You Answered You Answered Using feature data to predict the amount of something two !me periods in the future Using feature data to predict the probability of something happening and/or whether or not something will happen two !me periods in the future Correct Answer Correct Answer Using !me-series data to predict the amount of something two !me periods in the future Using !me-series data to predict the variance of something two !me periods in the future Ques!on 11 0 / 0.63 pts Select the type of analysis that GARCH is best suited for. Using feature data to predict the amount of something two !me periods in the future You Answered You Answered Using feature data to predict the probability of something happening two !me periods in the future Using feature data to predict whether or not something will happen two !me periods in the future Using !me-series data to predict the amount of something two !me periods in the future Correct Answer Correct Answer Using !me-series data to predict the variance of something two !me periods in the future Ques!on 12 0.63 / 0.63 pts Select the type of analysis that a support vector machine is best suited for. Using feature data to predict the amount and/or the probability of something two !me periods in the future Correct! Correct! Using feature data to predict whether or not something will happen two !me periods in the future Using !me-series data to predict the amount of something two !me periods in the future Using !me-series data to predict the variance of something two !me periods in the future Ques!on 13 0.63 / 0.63 pts Select the type of analysis that ARIMA is best suited for. Using feature data to predict the amount of something two !me periods in the future Using feature data to predict the probability of something happening two !me periods in the future Using feature data to predict whether or not something will happen two !me periods in the future Correct! Correct! Using !me-series data to predict the amount of something two !me periods in the future Using !me-series data to predict the variance of something two !me periods in the future Ques!on 14 0 / 0.63 pts Select the type of analysis that exponen!al smoothing is best suited for. Using feature data to predict the amount and/or probability of something two !me periods in the future Using feature data to predict whether or not something will happen two !me periods in the future Correct Answer Correct Answer Using !me-series data to predict the amount of something two !me periods in the future You Answered You Answered Using !me-series data to predict the variance of something two !me periods in the future Ques!on 15 0.63 / 0.63 pts Select the type of analysis that a random support vector machine forest is best suited for. Using feature data to predict the amount of something two !me periods in the future Using feature data to predict the probability of something happening two !me periods in the future Correct! Correct! Using feature data to predict whether or not something will happen two !me periods in the future Using !me-series data to predict the amount of something two !me periods in the future Using !me-series data to predict the variance of something two !me periods in the future Ques!on 16 0.63 / 0.63 pts Select the type of analysis that a linear regression tree is best suited for. Correct! Correct! Using feature data to predict the amount of something two !me periods in the future Using feature data to predict the probability of something happening two !me periods in the future Using feature data to predict whether or not something will happen two !me periods in the future Using !me-series data to predict the amount of something two !me periods in the future Using !me-series data to predict the variance of something two !me periods in the future Ques!on 17 3 / 4 pts Answer 1: Answer 2: Answer 3: Answer 4: For each type of data, specify whether it is or is not !me-series data. i. Characteris!cs of a day (day of the week, season, temperature, amount of rainfall, etc.) that might affect the number of burgers sold NOT TIME-SERIES ii. Frac!on of burgers sold that had cheese, on each of the past 2000 days TIME-SERIES iii. Number of burgers a restaurant sold on each of the past 2000 days TIME-SERIES iv. Number of toppings on each burger sold in the past 2000 days TIME-SERIES Correct! Correct! NOT TIME-SERIES Correct! Correct! TIME-SERIES Correct! Correct! TIME-SERIES You Answered You Answered TIME-SERIES Correct Answer Correct Answer NOT TIME-SERIES Ques!on 18 0 / 4 pts Answer 1: Answer 2: Answer 3: Below are three statements about data that is scaled before point outliers are removed. For each statement, select the choice that makes the statement correct. i. If data is scaled first, the range of data a$er outliers are removed will be WIDER than intended. ii. Point outliers WOULD appear to be valid data if not removed before scaling. iii. Valid data WOULD appear to be outliers if data is scaled first. [Show More]

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