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The file stockreturnsindex contains nine years of returns for Apple (AAPL), American Medical Devices (AMD), Oracle Corporation (ORCL), and the Information Technology S&P Index. Construct a portfolio
Queen City Cable (QCC) is interested in trying bundle pricing for its offerings of cable television, cell phone service, and internet service, with the goal of maximizing revenue. The following table
A well-studied optimization problem is the traveling salesperson problem (TSP). Given travel distances between N cities, the TSP problem is to construct a tour that has minimal total distance
Hudson Corporation is considering three options for managing its data warehouse: continuing with its own staff, hiring an outside vendor to do the managing, or using a combination of its own staff
Cancer patients and their physicians face many decisions related to treatment options. Depending on the type of cancer, the location of the cancer, and patient history, treatment options can include
Hospital administrators must schedule nurses so that the hospital’s patients are provided adequate care. At the same time, careful attention must be paid to keeping costs down. From historical
STAR Co. provides paper to smaller companies with volumes that are not large enough to warrant dealing directly with the paper mill. STAR receives 100-feet-wide paper rolls from the mill and cuts the
Brooks Development Corporation (BDC) faces the following capital budgeting decision. Six real estate projects are available for investment.The net present value and expenditures required for each
Morgan Inc. is planning the purchase of one of the component parts it needs for its finished product. The anticipated demands for the component for the next 12 periods are shown in the following
John White is the program scheduling manager for the television channel CCFO. John would like to plan the schedule of television shows for next Wednesday evening.The table below lists nine shows
Wegryn Consumer Goods (WCG) is considering entering the dish soap market with a new product it has yet to design. Using conjoint analysis, WCG has estimated part-worth utilities for 80 survey
In this problem, we revisit the Martin-Beck plant location problem described in Problem 10. The management of Martin-Beck has decided to do a clean-sheet analysis. Rather than assume that the St.
The Harvest Moon Food Bank is planning its promotional events for the next year. Harvest would like to maximize the number of meals it is able to provide based on these promotions. To do this, the
Refer to Problem 26.The problem involves the choice of promotions for a food bank so as to maximize the number of meals provided.a. Use equation (15.1) with the binary variables in your model to find
Refer to Problem 29.The problem involves the choice of starting times for televised baseball games to maximize the number of viewers who will watch at least one game.Problem 29The Boston Red Sox
Cory is an undergraduate student who just finished a course in linear programming. The course grade is composed of the following components:midterm exam score, final exam score, individual
The scheduler for a softball league is in the process of scheduling the umpires for each game in the coming week. There are five games in the coming week and six umpires are available. Every game
Refer to the umpire assignment problemdescribed in Problem 13. Use the procedure described in Section 14.7 to try to find an alternative optimal solution.Problem 13The scheduler for a softball league
DoorDash, Inc., headquartered in San Francisco, California, delivers online food orders from restaurants to customers using private vehicles and their drivers, known as Dashers. At any point in time
Consider the following network representation of a transportation problem:The supplies, demands, and transportation costs per unit are shown on the network.What is the optimal (cost minimizing)
Refer to the transportation problemdescribed in Problem 19. Use the procedure described in Section 14.7 to try to find an alternative optimal solution.Problem 19Consider the following network
Orion Fitness produces bracelets with an embedded chip that tracks its wearer’s activities. Orion has plants in Denver and Jacksonville.Bracelets produced at either plant may be shipped to either
An investor wishes to invest$10,000 for the coming year and anticipates that the market will be in one of four different states at the end of the year. These states affect her investments in each of
A financial manager is managing a cash fund. The manager’s investment alternatives available are various certificates of deposit, also known as CDs, as listed in the following table:However, the
A produce company supplies organically grown apples to four regional specialty stores. After the apples are collected at the company’s orchard, they are transported to any of three preparation
Windsor Power can store power in a high-capacity battery. The battery has capacity to store 80 kWh (kilowatt hours). During a particular period, Windsor can buy or sell electricity at the market
McKinney’s Sweet Shop specializes in homemade candies and ice cream. McKinney’s produces its ice cream in house, in batches of 50 pounds. The first stage in ice cream making is the blending of
Consider the Profit/Loss problem presented inproblem 3.a. Use Goal Seek to determine the access price per copy that the publisher must charge to break even with a demand of 3,500 copies.b. Consider
Over the Rhine Brewery (ORB) is conducting a cash flow analysis for the coming year. The first quarter of the calendar year is typically the slowest time for ORB. For each month of the first quarter
Californian Vinh Nguyen won the Powerball Jackpot and was the sole winner. The jackpot was $228,467,735. Nguyen had the option of taking a lump sum of $134 million or an annuity that paid 30 annual
Professor Rao would like to accurately calculate the grades for the 58 students in their Operations Planning and Scheduling class (OM 455).Rao has thus far constructed a spreadsheet, part of which
Companies that compete globally must pay attention to exchange rates between currencies. The exchange rate between two currencies depends on a variety of factors including each country’s gross
For online purchases, the location of the buyer and the location of the business (seller) determine if state sales tax must be collected at the time of the sale. The rule for collecting sales tax is
Allegiant Airlines is considering an overbooking policy for one of its flights. The airplane has 50 seats, but Allegiant is considering accepting more reservations than seats because sometimes
OuRx, a retail pharmacy chain, is faced with the decision of how much flu vaccine to order for the next flu season. OuRx has to place a single order for the flu vaccine several months before the
As an ice-breaker on the first day of analytics class with 25 students in attendance, a professor announces that a free textbook will be awarded to any students who share a birthday (month and day,
Refer to the Jackpot soap scenario in Problem 24. After the sale of the original 1,000 bars of soap, Jackpot soap went viral, and the soap has become wildly popular. Production of the soap has been
Pancheros sells a variety of Mexican-inspired cuisine for which tortillas are often a main ingredient. Assume that each customer places an order requiring one tortilla with a 75% probability
Which of the following statements about logistic regression is true?a. Logistic regression estimates the probability of an observation being in the “yes”class as a linear function of input
In Section 11.3, the logistic regression equation to predict whether a movie wins the Best Picture Academy Award based on the total number of Oscar nominations was:For a cutoff value of pˆ = 0.5,
Which of the following statements about the k-nearest neighbors classifier is true?a. The decision boundary corresponding to a k-nearest neighbor classifier is a linear function of the input
For 10,000 observations, suppose a classifier generates 235 false positives, 138 false negatives, 9,432 true negatives, and 195 true positives. What is the classifier’s accuracy?
For 10,000 observations, suppose a classifier generates 235 false positives, 138 false negatives, 9,432 true negatives, and 195 true positives. What is the classifier’s sensitivity?
For 10,000 observations, suppose a classifier generates 235 false positives, 138 false negatives, 9,432 true negatives, and 195 true positives. What is the classifier’s specificity?
For 10,000 observations, suppose a classifier generates 235 false positives, 138 false negatives, 9,432 true negatives, and 195 true positives.What is the classifier’s precision?
An analyst for an insurance company’s data science team is developing a model to predict whether a submitted claim is fraudulent. Generally, less than 10% of claims are fraudulent. The threshold
When the threshold value for binary classification increases, what happens?a. Sensitivity decreases and specificity increases.b. F1 score increases.c. Precision increases.d. Accuracy decreases.
A sports betting company is testing the effectiveness of its online ads and has developed a classification model that predicts whether a potential customer will respond to its offer using information
A sports betting company is testing the effectiveness of its online ads and has developed a classification model predicts whether a potential customer will respond to its offer using information in
What happens if a classification tree is grown to its fullest extent?a. Each leaf node will be 100% pure (all Class 1 observations or all Class 0 observations)b. The best predictive performance on
It is known that tree-based learning is unstable.What does this mean?a. Trees are poor predictive models.b. The predictive performance of the tree varies dramatically based on the training data
How are variables selected in tree-based learning?a. Variables are automatically selected by the tree logic as the best variable(and value to split it at) is identified at each step of the recursive
Which of the following statements about bagging is false?a. Bagging generates a composite prediction by weighting the votes of the individual classifiers by their individual accuracies.b. Bagging
Which of the following statements about boosting is false?a. Boosting works best when using logistic regression models as the individual classifiers.b. Boosting constructs a sequence of classifiers
Suppose each individual classifier in an ensemble has a 70% chance of predicting an observation’s class correctly and that the individual classifiers are perfectly independent of each other. What
Why are trees often used as individual classifiers in an ensemble approach?a. Trees are computationally easy to construct.b. Trees are easy to interpret.c. Trees have embedded feature selection.d.
Which of the following statements about random forests is false?a. The predictive performance of a random forest is often competitive with a boosting ensemble, and it is computationally much
Which of the following statements about the architecture of a neural network is false?a. The output layer of a neural network for a binary classification task produces an observation’s probability
Which function is a common choice for the output layer in a neural network for a classification task?a. Logistic functionb. Identity functionc. ReLu functiond. Quadratic function
In a filter method, which of the following is helpful to assess the relationship between a quantitative input variable and a categorical outcome variable?a. Test of independenceb. ROC curvec. Scatter
For which classification method is a lasso regularization commonly used to select features?a. k-nearest neighborsb. Classification treesc. Logistic regressiond. Random forest
The dating web site Oollama.com requires its users to create profiles based on a survey in which they rate their interest (on a scale from 0 to 3) in five categories: physical fitness, music,
Fleur-de-Lis is a boutique bakery specializing in cupcakes. The bakers at Fleur-de-Lis like to experiment with different combinations of four major ingredients in its cupcakes and collect customer
Sommelier4U is a company that ships its customers bottles of different types of wine and then has the customers rate the wines as “Like” or“Dislike.” For each customer, Sommelier4U trains a
A university is applying classification methods in order to identify alumni who may be interested in donating money. The university has a database of 58,205 alumni profiles containing numerous
Honey is a technology company that provides online coupons to its subscribers. Honey’s analytics staff has developed a classification method to predict whether a customer who has been sent a coupon
Watershed is a media services company that provides online streaming movie and television content. As a result of the competitive market of streaming service providers, Watershed is interested in
Salmons Stores operates a national chain of women’s apparel stores. Five thousand copies of an expensive four-color sales catalog have been printed, and each catalog includes a coupon that provides
Refer to the scenario in Problem 30 regarding the identification of coupon promotion responders. Apply k-nearest neighbors to classify observations as a promotion-responder or not by using Coupon as
Refer to the scenario in Problem 30 regarding the identification of coupon promotion responders. Apply a classification tree to classify observations as a promotion-responder or not by using Coupon
Refer to the scenario in Problem 30 regarding the identification of coupon promotion responders. Apply a neural network to classify observations as a promotion-responder or not by using Coupon as the
Over the past few years the percentage of students who leave Dana College at the end of their first year has increased. Last year, Dana started voluntary one-credit hour-long seminars with faculty to
Refer to the scenario in Problem 34 regarding the identification of students who drop out of school. Apply k-nearest neighbors to classify observations as a drop-out or not by using Dropped as the
Refer to the scenario in Problem 34 regarding the identification of students who drop out of school. Apply a classification tree to classify observations as a drop-out or not by using Dropped as the
Refer to the scenario in Problem 34 regarding the identification of students who drop out of school. Apply a neural network to classify observations as a drop-out or not by using Dropped as the
Sandhills Bank would like to increase the number of customers who use paperless banking as part of the rollout of its e-banking platform. Management has proposed offering an increased interest rate
Refer to the scenario in Problem 38 regarding the identification of bank customers who enroll in paperless banking.Apply k-nearest neighbors to classify observations as enrolling or not by using
Refer to the scenario in Problem 38 regarding the identification of bank customers who enroll in paperless banking.Apply a classification tree to classify observations as enroll or not by using
Refer to the scenario in Problem 38 regarding the identification of bank customers who enroll in paperless banking. Apply a neural network to classify observations as a enroll or not by using Enroll
Campaign organizers for both the Republican and Democratic parties are interested in identifying individual undecided voters who would consider voting for their party in an upcoming election. A
Refer to the scenario in Problem 42 regarding the identification of undecided voters. Apply k-nearest neighbors to classify observations as undecided or not by using Vote as the target (or response)
Refer to the scenario in Problem 42 regarding the identification of undecided voters. Apply a classification tree to classify observations as undecided or not by using Vote as the target (or
Refer to the scenario in Problem 42 regarding the identification of undecided voters. Apply a random forest to classify observations as undecided or not by using Vote as the target (or response)
Refer to the scenario in Problem 42 regarding the identification of undecided voters. Apply a neural network to classify observations as undecided or not by using Vote as the target (or response)
Telecommunications companies providing cell-phone service are interested in customer retention. In particular, identifying customers who are about to churn (cancel their service) is potentially worth
Refer to the scenario in Problem 47 regarding the identification of churning cellphone customers. Apply k-nearest neighbors to classify observations as churning or not by using Churn as the target
Refer to the scenario in Problem 47 regarding the identification of churning cellphone customers. Apply a classification tree to classify observations as churning or not by using Churn as the target
Refer to the scenario in Problem 47 regarding the identification of churning cellphone customers. Apply a random forest to classify observations as churning or not by using Churn as the target (or
Refer to the scenario in Problem 47 regarding the identification of churning cellphone customers. Apply a neural network to classify observations as churning or not by using Churn as the target (or
Each year, the American Academy of Motion Picture Arts and Sciences recognizes excellence in the film industry by honoring directors, actors, and writers with awards (called “Oscars”) in
Refer to the scenario in Problem 52 regarding the identification of movies that win the Best Picture Oscar. Apply k-nearest neighbors to classify observations as winning best picture or not by using
Refer to the scenario in Problem 52 regarding the identification of movies that win the Best Picture Oscar. Apply a classification tree to classify observations as winning best picture or not by
Refer to the scenario in Problem 52 regarding the identification of movies that win the Best Picture Oscar. Apply a random forest to classify observations as winning best picture or not by using
Refer to the scenario in Problem 52 regarding the identification of movies that win the Best Picture Oscar. Apply a neural network to classify observations as winning best picture or not by using
Consider the following time series data. Quarter Year 1 Year 2 Year 3 1 4 6 7 2 2 3 3 3 5 4 5 7 868 6
Which of the following statements is false?a. RMSE and MAE often agree on which regression model is the most accurate.b. RMSE and MAE both indicate when the predicted values are consistently larger
What is a benefit of k-fold cross-validation over the static holdout method?a. The k-fold cross-validation method is computationally faster.b. The k-fold cross-validation method is easier to
Why is the k-nearest neighbors regression called a lazy learner?a. Because k-nearest neighbors does not have embedded feature selection.b. Because the k-nearest neighbors regression requires the
Which of the following statements about k-nearest neighbors regression is false?a. The choice of input features may have an impact on predictive performance.b. Variables do not need to be
When splitting a node of a regression tree into two subsets, how are the variable and its split value determined?a. At each step, the variable and its split value that are selected result in the
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