BRUNEL UNIVERSITY Master of Science Degree examination Specimen Exam Paper 2005-2006 EC5002: Modelling Financial Decisions and Markets EC5030: Introduction to Quantitative Methods Time allowed: 1.5 hours Answer all of question 1 and at least two other questions 1. COMPULSORY Provide brief answers to all the following: (a) A sample of 20 observations corresponding to the model: Y = + X + u‚ gave the P P P following data: (X X)2 = 215:4‚ (Y Y )2 = 86:9‚ and (X X)(Y Y ) = 106:04. Estimate . (5 marks)
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Abstract In the experiment the reduction of Cr(VI) by glutathione will be monitored‚ the data will be recorded and the double-exponential dependence of the reaction will be analyzed. Exponential stripping‚ as well as computer assisted non-linear regression analysis will be utilized to determine the rate equation as well as the rate constants of the reaction. Introduction Many biochemical reactions and their rates cannot be simply described by basic kinetics such as first or second order.1 Many
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Operations Management: Processes and Supply Chains‚ 10e (Krajewski et al.) Chapter 14 Forecasting 1) The repeated observations of demand for a product or service in their order of occurrence form a pattern known as a time series. Answer: TRUE Reference: Demand Patterns Difficulty: Easy Keywords: time series‚ repeated observations 2) One of the basic time series patterns is random. Answer: TRUE Reference: Demand Patterns Difficulty: Easy Keywords: time series‚ pattern‚ random
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Definition of variables R 3 2.2 Japan 3 2.3 USA 3 2.4 India 3 3 Hypothesis / Research Question(1/2) R 3 4 Methodology (2) M 3 4.1 Correlation 3 4.2 Simple Regression 4 4.3 Multiple Regression 4 4.4 Measure of fit 4 4.5 Level of Significance 5 5 Data 5 6 Findings 6 6.1 Simple Regression 6 6.2 Multiple Regressions (5) T 7 6.2.1 All factors 7 6.2.2 All factors excluding children born outside of marriage 7 6.2.3 Education factor 8 6.2.4 Economic factors 8 6.2.5
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include: application of descriptive statistics; probability and probability models; point and | |interval estimation methods‚ hypothesis testing‚ simple and multiple regression. | COURSE OBJECTIVES: The purpose of this course is to introduce students to the statistical and quantitative concepts and methodologies as applied
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semi-vegetarians. The present study tries to use regression technique of demad forecasting to estimate the demand fuction of eggs for Raigarh district of Chhatisgarh for various occupational groups in rural and urban areas. In this study we consider variables like size and composition of family‚ family income‚ occupation‚ number of earning members etc. Likewise for soaps we choose variables like growth in population and increase in per capita income for regression. Demand Forecasting for Eggs: Eggs are
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Classical Linear Regression Models and Relaxing their Assumptions Seid Nuru seidnali@yahoo.com August 2012 > The Classical Linear Regression Models Introduction The Simple Regression Model The Multiple Linear Regression Models Violations of the Assumptions of CLRMs Definition • Econometrics is the application of statistical‚ and mathematical techniques to the analysis of economic data with a purpose of verifying or refuting economic theories. Theory Mathematical Model Econometric
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Econometrics Nalan Basturk Erasmus University Rotterdam Econometric Institute basturk@ese.eur.nl http://people.few.eur.nl/basturk/ Introduction Course Introduction Course Organization Motivation Introduction Today Regression Linear Regression Ordinary Least Squares Linear regression model Gauss-Markov conditions and the properties of OLS estimators Example: individual wages Goodness-of-fit 1 / 42 2 / 42 Lecture 1‚ 3 September 2013 Applied Econometrics Introduction Course Introduction Applied
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Concentration of bromophenol blue (mg/L) 0.0 2.0 4.0 6.0 8.0 10.0 Absorbance at 590 nm (Amax of bromophenol blue) 0.000 0.135 0.199 0.404 0.596 0.724 From Figure 2 above‚ the molar absorptivity of bromophenol blue at 590nm is the gradient of the linear regression line which is 0.0744 L mg-1 cm-1. Part 3: Determination of the concentration of the bromophenol blue solutions of unknown concentration By plotting on the standard concentration curve from Part 2‚ the concentration of bromophenol blue are as
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field strength as a function of the distance measured perpendicularly from a long current-carrying wire. We found that there is a linear relationship between B/I and 1/r‚ which can be seen by the graph and is predicted by Ampere’s Law. The data from this experiment produced a plot of B/I vs 1/r with a regression with a r2of 0.9698‚ which indicates a highly linear relationship. Our slope was also only off by 0.0175% which indicates that this was a highly successful lab. There‚ as usual‚ are sources
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