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Georgia Institute Of Technology ISYE 6501X Midterm Quiz 2 - GT Students and Verified MM Learners _ Midterm Quiz 2 _ ISYE6501x Courseware

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Midterm Quiz 2 - GT Students and VeriÕed MM Learners 90 Minute Time Limit Instructions Work alone. Do not collaborate with or copy from anyone else. You may use any of the following resources: O... ne 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! This the beginning of Midterm Quiz 2. Please make sure that you submit all your answers before the time runs out. Once you submit an answer to a question, you cannot change it. There is no overall Submit button. Answers are displayed within the problem Answers are displayed within the problem Information for Question 1 There are Õve questions labeled "Question 1." Answer all Õve questions. For each of the following Õve questions, select the probability distribution that could best be used to model the described scenario. Each distribution might be used, zero, one, or more than one time in the Õve questions. Question 1 0.0/1.4 points (graded) Time between people clicking an online banner ad Weibull  Answer: Exponential You have used 1 of 1 attempt Question 1 0.0/1.4 points (graded) Number of people clicking an online banner ad each hour Exponential  Answer: Poisson You have used 1 of 1 attempt Question 1 0.0/1.4 points (graded) Time from when a house is put on the market until the Õrst oàer is received Poisson  Answer: Weibull Submit  Submit 4/6/2020 Midterm Quiz 2 - GT Students and Verified MM Learners | Midterm Quiz 2 | ISYE6501x Courseware | edX Answers are displayed within the problem Answers are displayed within the problem Answers are displayed within the problem You have used 1 of 1 attempt Question 1 0.0/1.4 points (graded) Number of hits to a real estate web site each minute Binomial  Answer: Poisson You have used 1 of 1 attempt Question 1 0.0/1.4 points (graded) Time from the start of a World Cup soccer match until a goal is scored Poisson  Answer: Weibull You have used 1 of 1 attempt Questions 2a, 2b 5.0/10.0 points (graded) Five classiÕcation models were built for predicting whether a neighborhood will soon see a large rise in home prices, based on public elementary school ratings and other factors. The training data set was missing the school rating variable for every new school (3% of the data points). Submit  Submit  Submit 4/6/2020 Midterm Quiz 2 - GT Students and Verified MM Learners | Midterm Quiz 2 | ISYE6501x Courseware | edX Because ratings are unavailable for newly-opened schools, it is believed that locations that have recently experienced high population growth are more likely to have missing school rating data. Model 1 used imputation, Õlling in the missing data with the average school rating from the rest of the data. Model 2 used imputation, building a regression model to Õll in the missing school rating data based on other variables. Model 3 used imputation, Õrst building a classiÕcation model to estimate (based on other variables) whether a new school is likely to have been built as a result of recent population growth (or whether it has been built for another purpose, e.g. to replace a very old school), and then using that classiÕcation to select one of two regression models to Õll in an [Show More]

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