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

Document Content and Description Below

Midterm Quiz 2 - GT Students and Veried 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: One... 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.    4/6/2020 Midterm Quiz 2 - GT Students and Verified MM Learners | Midterm Quiz 2 | ISYE6501x Courseware | edX https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+1T2020/courseware/f712bb2a96ff46b0bc8d775293bfc91d/1b57ff6ea64c40cf8f4eb69d2b… 2/27 Answers are displayed within the problem Answers are displayed within the problem Information for Question 1 There are ve questions labeled "Question 1." Answer all ve questions. For each of the following ve 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 ve 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 rst oer 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 https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+1T2020/courseware/f712bb2a96ff46b0bc8d775293bfc91d/1b57ff6ea64c40cf8f4eb69d2b… 3/27 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 classication 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 https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+1T2020/courseware/f712bb2a96ff46b0bc8d775293bfc91d/1b57ff6ea64c40cf8f4eb69d2b… 4/27 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, lling in the missing data with the average school rating from the rest of the data. Model 2 used imputation, building a regression model to ll in the missing school rating data based on other variables. Model 3 used imputation, rst building a classication 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 classication to select one of two regression models to ll in an estimate of the school rating; there are two dierent regression models (based on other variables), one for neighborhoods with new schools built due to population growth, and one for neighborhoods with new schools built for other reasons. Model 4 used a binary variable to identify locations with missing information. Model 5 used a categorical variable: rst, a classication model was used to estimate whether a new school is likely to have been built as a result of recent population growth; and then each neighborhood was categorized as "data available", "missing, population growth", or "missing, other reason". a. If school ratings cannot be reasonably well-predicted from the other factors, and new schools built due to recent population growth can be reasonably well-classied using the other factors, which model would you recommend?  Model 1 Model 2 Model 3 Model 4 Model 5  4/6/2020 Midterm Quiz 2 - GT Students and Verified MM Learners | Midterm Quiz 2 | ISYE6501x Courseware | edX https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+1T2020/courseware/f712bb2a96ff46b0bc8d775293bfc91d/1b57ff6ea64c40cf8f4eb69d2b… 5/27 Answers are displayed within the problem b. In which of the following situations would you recommend using Model 2? [All predictions and classications below are using the other factors.]  You have used 1 of 1 attempt Information for Question 3 In a diet problem (like we saw in the lessons and homework), let x be the amount of food i in the solution (x >= 0), and let M be the maximum amount that can be eaten of any food. Suppose we added new variables y that are binary (i.e., they must be either 0 or 1): if food i is eaten in the solution, then it is part of the solution (y = 1); otherwise y = 0. There are ve questions labeled "Question 3." Answer all ve questions. For each of the following ve questions, select the mathematical constraint that best corresponds to the English sentence. Each constraint might be used, zero, one, or more than one time in the ve questions. Question 3 Ratings can be well-predicted, and reasons for building schools can be well-classied. Ratings can be well-predicted, and reasons for building schools cannot be wellclassied. Ratings cannot be well-predicted, and reasons for building schools can be wellclassied. Ratings cannot be well-predicted, and reasons for building schools cannot be wellclassied. Submit  i i i i i 4/6/2020 Midterm Quiz 2 - GT Students and Verified MM Learners | Midterm Quiz 2 | ISYE6501x Courseware | edX https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+1T2020/courseware/f712bb2a96ff46b0bc8d775293bfc91d/1b57ff6ea64c40cf8f4eb69d2b… 6/27 Answers are displayed within the problem 1.4/1.4 points (graded) Select the mathematical constraint that corresponds to the following English sentence: No more than two of broccoli, cheese sauce, and peanut butter may be eaten.  You have used 1 of 1 attempt Question 3 1.4/1.4 points (graded) Select the mathematical constraint that corresponds to the following English sentence: [Show More]

Last updated: 2 years ago

Preview 1 out of 27 pages