vs. X). Submit this graph along with the completed worksheet. Question 1: What trend does the graph illustrate? (2) 4. After the graph is complete‚ right-click on one of the data points on the graph. Select ‘Add trendline” 5. Choose “Linear” for the trend/regression type. Then at the bottom of the window‚ select “display equation on chart” and “Display R-squared value on chart”. Question 2:
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Exam Session 7 ANOVA and Design of Experiments Chap. 10 Session 8 Problems Chap. 10: 1‚ 10‚ 12‚ 19‚ 21‚ 27 and 34 Session 8 Goodness of Fit and Independence Chap. 11 Session 9 Problems Chap. 11: 3‚ 11‚ 13‚ 19‚ and 21 Session 9 Simple Linear Regression Chap. 12 Session 10 Problems Chap. 12: 4‚ 15‚ 18‚ 23‚ 26‚ 32‚ 40 and 47 Session 10 Multiple Regression Chap. 13 Session 11 Problems Chap. 13: 5‚ 15‚ 23‚ 28‚ 32 and 34 Session 11 Regression Analysis: Model Building Chap. 16(annex)
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amounts‚ etc.) Maximize Z (profit) = Pizza Slices 0.75x1 + Hot Dogs ___x2 + BBQ ___ x3 Food Cost Constraint: __x1 + __ x2 + __x3 = 0 Linear Programming Results (from Excel Solver and/or QM for Windows): Optimal Value (Z) = Ranging Case Study Questions A. Formulate and solve a linear programming
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Hold up Scenarios Scenario 1 Scenario 1) Player ’A’ grabs Player ’B’s shoulder and places a knife in his midsection in an attempt to rob him. Player ’B’ hollows out his midsection while simultaneously bringing his hands straight up and catching his weapons hand in the web of both hands and shifting to his right. From here ’B’ will quickly apply a wrist flex. Most people teach it the way shown here using both thumbs‚ but that is not the best way to apply this technique.......... If
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I. Objectives: • To verify Newton’s Second Law of Motion with the use of state-of-the-art devices II. Materials and Equipment: • 2.2 m Track- 1 pc • Plunger Cart- 1pc • Super pulley with clamp – 1pc • .500gram mass- 1pc • Stopwatch1- 1pc • Block ( to act as bumper)- 1pc • Beam Balance- 1 unit • String – 2m long • Set of Weights-1 set III. Data and Results Cart Mass Hanging Mass Trial1 Trial2 Trial3 Trial4 Trial5 Average Time 512g 13g 2.16s 2.15s 2.06s 2.0s 2.1s 2.09s 1016.5 27g
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7) = 1.48 4.5 - (1.32+0.36+0.85+0.65) = 1.32 0.3 5. 80‚000 pounds of grade "A" tomatoes are available at 8.5 cents per pound. (provided by the Vice president of operations) 6. Sale manager re-computes the marginal profits (Exhibit 3). Linear Programming Solutions (a) How to use the crop of 3‚000‚000 lbs. of tomatoes? (b) Whether to purchase an additional 80‚000 lbs. of A-grade tomatoes? Part (a) Formulation: WA = lbs. of A-grade tomatoes in whole. WB = lbs. of B-grade tomatoes in
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1. Introduction Linear programming (LP) model is a significant and popular used model of operational research technique. It helps to optimize the objective value with constraints. LP model have three essential assumptions when use this model to solve problem. Firstly‚ proportionality and additively‚ which means that the objective function and the functions in constraints are all linear. In other words‚ it means the equation of objective and constraints are linear equation. Secondly‚ LP model
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Stress-strain diagram Concept Quiz Copyright © 2011 Pearson Education South Asia Pte Ltd TENSION AND COMPRESSION TEST Copyright © 2011 Pearson Education South Asia Pte Ltd READING QUIZ 1) The modulus of elasticity E is a measure of the linear relationship between stress and strain. The common unit is: a) kN/mm2 b) c) MPa GPa d) All of them Copyright © 2011 Pearson Education South Asia Pte Ltd READING QUIZ (cont) 2) The Poisson’s ratio‚ v of common engineering materials
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course-related electronic communication. Economics Department Drop Box: C-876 Loeb TA: TBA Calendar Description A continuation of ECON 2201. Topics include estimation and hypothesis testing with two populations‚ correlation‚ simple and multiple linear regression‚ analysis of variance‚ tests of goodness of fit and independence‚ and introduction to statistical computing. Precludes additional credit for ECON 2200 (no longer offered)‚ STAT 2509‚ STAT 2559‚ and STAT 2607. Prerequisite(s): ECON
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|BUAD – 555 Decision Science |October 3rd. | | |2012 | |Mini Exam # 2 | | |Students’ Version
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