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    Courtney carlisle Date: Graded Assignment Unit Test‚ Part 2: Linear Equations and Systems Answer the questions below. When you have finished‚ submit this assignment to your teacher by the due date for full credit. (10 points) 1. The table gives the population of a town for the years 2000–2009. a. Make a scatter plot of the data‚ draw a line of best fit‚ and then find the equation of the line of best fit. Show and explain your work. b. Describe what the slope of the line of best fit represents

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    Mathematical Programming

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    scientific approach to managerial problemsolving under such other names as systems analysis‚ cost–benefit analysis‚ and cost-effectiveness analysis. We will adhere to management science throughout this book. Mathematical programming‚ and especially linear programming‚ is one of the best developed and most used branches of management science. It concerns the optimum allocation of limited resources among competing activities‚ under a set of constraints imposed by the nature of the problem being studied

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    estimate the following forms of demand function: i) Y=a + b X (Linear) Y= quantity of eggs consumed‚ a = constant b = intercept X= per capita disposable income Here we have used single equation regression model‚ which carries two variables one is dependent and another one independent variable. The form equation is like this: i) Y= 3.0085 + 0.0619 X R2 = 0.8569 (13.5301) (2.76) The linear function gave a ‘consistently better fit to the data. From the

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    HW Week 6

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    requires 10 hours of processing time on line 1‚ while on line 2‚ product 1 requires 7 hours and product 2 requires 3 hours. The profit for product 1 is $6 per unit‚ and the profit for product 2 is $4 per unit. a. Formulate a linear programming model for this problem. b. Solve this model by using graphical analysis. 6) The Pinewood Furniture Company produces chairs and tables from two resources-labor and wood. The company has 80 hours of labor and 36 pounds of wood available each day. Demand

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    Operation Research

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    performance of the system. Techniques and tools of operation research: Linear programming: You can use linear programming to find a solution for optimising a given objective. The objective may be to maximize profit or to minimize cost. Inventory control methods: The production‚ purchasing‚ and material managers are always confronted with questions‚ such as when To buy‚ and how much to keep in stock. Goal programming: In linear programming ‚ you take a single objective function and consider all other

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    MAT540 Week 8 Homework

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    alloy that contains four metals according to the following specifications:  at least 21% of metal A‚ no more than 12% of metal B‚ no more than 7% of metal C and between 30% and 65% of metal D.  The proportion of the four metals in each of the six ores and the level of impurities in each ore are provided in the following table: Ore Metal (%) Impurities (%) Cost/Ton A B C D 1 19 15 12 14 40 27 2 43 10 25 7 15 25 3 17 0 0 53 30 32 4 20 12 0 18 50 22 5 0 24

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    Introduction to Management Science‚ 10e (Taylor) Chapter 4 Linear Programming: Modeling Examples 1) When formulating a linear programming problem constraint‚ strict inequality signs (i.e.‚ less than < or‚ greater than >) are not allowed. Answer: TRUE Diff: 2 Page Ref: Ch 2 review Main Heading: Formulation and Computer Solution Key words: formulation 2) When formulating a linear programming model on a spreadsheet‚ the measure of performance is located in the target cell.

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    Forecasting and Cost

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    ADM 3301 Sample Mid-term Exam Duration: 2.5 hours Student name:_______________________ Student No.__________________ INSTRUCTIONS: 1- Write down the exam copy number (that exists at the top right corner of this page) on the identification white card next to your name. 2- Verify that your exam has 9 pages (including this title page). 3- Answer all questions on your examination copy. Use the opposite (blank) side‚ if necessary. Answers or calculations written on the sheet

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    Applied Mathematics IA 2014

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    Name: Kareem Charles School: Queen’s Royal College Subject: Applied Mathematics Topic: An investigation of the relationship between student’s punctuality and academic performance in a form 5 year group in Queen’s Royal College. Centre number: 160046 Candidate’s number: Territory: Trinidad and Tobago Teacher: Mrs. Ramdeen Ali Date Submitted: 24th April‚ 2014 Table of Contents Title…………………………………………………..……………………………………………3

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    Exercise 9 A

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    they mean. b. Predict the yield of corn if the fertilizer used is 105 pounds. c. Construct a 98% confidence interval for B. d. Test at the 5% significance level if B is different from zero. 2. The following table gives information on the lowest ticket price (in dollars) and the average attendance (rounded to the nearest thousand) for the past year for sixfootball teams. Ticket Price (x) 12.5 9.5 10 14.5 16 12 Attendance (y) 56 65 71 69 55 42 a. Find the least squares regression line. b. Interpret

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