A company that operated 10 hours a day manufactures two products on three sequential processes. The following table summarizes the data for the problem: Product Process 1 10 Process 2 6. 20 in Process 3 8. 10 Unit Profit 20 30 Which of the following is the most appropriate representation for variables x and y for the given situation? * x is the # of units of Product 1 to be procured; y is the # of units of Product 2 to be procured. x is the # of units of Product 1 to be delivered; y is the # of units of Product 2 to be delivered. x is the # of units of Product 1 to be produced; y is the # of units of Product 2 to be produced. x is the # of units of Product 1 to be stored; y is the # of units of Product 2 to be stored Which of the following is the most appropriate objective function for the given situation? * Maximize 20x+30y Maximize 30x+20y Minimize 30x+20y Minimize 20x+30y

A company that operated 10 hours a day manufactures two products on three sequential processes. The following table summarizes the data for the problem: Product Process 1 10 Process 2 6. 20 in Process 3 8. 10 Unit Profit 20 30 Which of the following is the most appropriate representation for variables x and y for the given situation? * x is the # of units of Product 1 to be procured; y is the # of units of Product 2 to be procured. x is the # of units of Product 1 to be delivered; y is the # of units of Product 2 to be delivered. x is the # of units of Product 1 to be produced; y is the # of units of Product 2 to be produced. x is the # of units of Product 1 to be stored; y is the # of units of Product 2 to be stored Which of the following is the most appropriate objective function for the given situation? * Maximize 20x+30y Maximize 30x+20y Minimize 30x+20y Minimize 20x+30y

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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Brandon works as a statistician for the Toronto Blue Jays, and wants to analyze the relationship between a player's age and how many strikeouts they accumulate in a season. He takes a sample of 5 Blue Jays players with age between 25 and 34 and finds there is a linear relationship between their ages and the number of strikeouts they had in the 2015 season. Here are the numerical summaries for age and the number of strikeouts: r = 0.6, age = 25.3, Sage = 3.2, strikeout = 105.7, S strikeout = 7.48 a) What is the value of b₁, the estimated slope? (Round your answer to 3 decimal places, if needed.) Answer: b) What is the value of bo, the estimated intercept? (Round your answer to 3 decimal places, if needed.) Answer: c) What is the percent of variation in the number of strikeouts that is explained by age, using linear regression? (Round your answer to 2 decimal places, if needed.) Answer: % d) Can we use this linear regression to predict the number of strikeouts for a player age at 37? No,…
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A researcher wants to know how long it takes, on average, for a certain species of bacteria to divide. She watches 17 cells through a microscope and times how long it takes them to divide. She obtains the following data, in hours:8.1, 7, 7.4, 7.4, 6.6, 7.3, 7.5, 7, 7.7, 6.9, 7.9, 6.7, 6.7, 6.9, 7.5, 7.1, 7.3Assuming the population standard deviation is σ=0.4, construct a 89% confidence interval for the average time it takes this species of bacteria to divide.xˉ=α2=zα2=Margin of Error: E=We are 89% confident that this species of bacteria takes, on average, between ___hours and ___hours to divide.
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Brandon works as a statistician for the Toronto Blue Jays, and wants to analyze the relationship between a player's age and how many strikeouts they accumulate in a season. He takes a sample of 8 Blue Jays players with age between 25 and 34 and finds there is a linear relationship between their ages and the number of strikeouts they had in the 2015 season. Here are the numerical summaries for age and the number of strikeouts: r = 0.67, age = 28.4, Sage = 3.96, strikeout= 102.9, S strikeout = 7.7 (a) What is the value of b₁, i.e. the fitted slope? (Round your answer to 3 decimal places) Answer: (b) What the value of bo, i.e. the fitted intercept? (Round your answer to 3 decimal places.) Answer: (c) What is the percent of variation of the number of strikeouts that is explained by age using a linear regression? (Round your answer to 2 decimal places.) Answer: % (d) Can we use this linear regression to predict the number of strikeouts for a player age 38? Answer: O No, because the…
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please solve all parts within 30 minutes.
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