packages‚ while the tutorial mode keeps on giving step-wise information about the methodology and solution. TORA tutorial software deals with the following algorithms: •Solution of simultaneous linear equations •Linear programming •Transportation model •Integer programming •Network models •Project analysis by CPM/PERT •Poisson queuing models
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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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future plagiarism checks. Date Submitted: 23 MAY 2015 ECON 7300 Statistics for Business and Economics Statistics Project Project Dataset 4 Tutorial T11 Friday 8.30-10.00 Name: Xiaohui WAN Student Number: 43348802 Part A – Simple Linear Regression Analysis (a) Expectation Ŷi = β0 + β1xi + βi Where Ŷ =Amount of money the state spends on aid to local school districts per capita (AIDPC) Xi= State Income per capita (INCOMEPC) In general‚ we expect the increase of state Income per capita
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changes in advertising‚ promotion or competition. For this problem we look to try and gather an estimate of what the best forecasting method will be for the demand of services A‚ B‚ and C. The methods of analysis used to attain the figures include; linear regression‚ regression model‚ and forecast error analysis. Plan the Treatment: In order to apply all of the demand forecasting methods properly and acquire the most accurate demand forecast‚ we must do the following… Graph historical demand – define
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the class and some questions similar to the HW will be asked. Please come to the class early so that you do not miss the quiz! 1. Run a regression between price and area (sqft) for data in “housing ” worksheet. a. Estimate the population simple linear regression line that shows a relationship between the area and price of a house. (Price depends on the size of the house) b. Interpret the intercept and the slope of the line. c. Estimate the standard deviation of the error‚ s. d. Evaluate the
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employees. In order to provide Mr. Rodriguez with the information he requested‚ linear programming will be utilized. Linear programming is the “several related mathematical techniques used to allocate limited resources among competing demands in an optimal way” (Jacobs & Chase‚ 2013‚ appendix
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hours. Each product 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
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well as advise his boss on what actions he should take for future production. The method we used to forecast the cell phone orders for the upcoming year is regression analysis; we calculated the linear regression formula from the given data‚ and then applied the formula to the later months. Based on the linear regression equation‚ we anticipate the cell phone industry to continue to grow over the next 12 months‚ but Jordan’s boos should feel free to stray away from actual forecasts for certain months
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such that the following two conditions on the random vector [pic]are met: 1. [pic] 2. [pic] the best (minimum variance) linear (linear functions of the [pic]) unbiased estimator of [pic]is given by least squares estimator; that is‚ [pic]is the best linear unbiased estimator (BLUE) of [pic]. Proof: Let [pic]be any [pic]constant matrix and let [pic]; [pic] is a general linear function of [pic]‚ which we shall take as an estimator of [pic]. We must specify the elements of [pic]so that [pic]will be
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Operations Research Modeling Toolset Network Problems Linear programming has a wide variety of applications Network problems Special types of linear programs Particular structure involving networks Ultimately‚ a network problem can be represented as a linear programming model However the resulting A matrix is very sparse‚ and involves only zeroes and ones This structure of the A matrix led to the development of specialized algorithms to solve network problems Types of Network Problems
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