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    NORTHEASTERN UNIVERSITY - GRADUATE SCHOOL OF BUSINESS ADMINISTRATION MGSC 6200: DATA ANALYSIS Spring‚ 2015 Instructor Information Name: Dr. Nizar Zaarour E-mail address: n.zaarour@neu.edu Office: 214 Hayden Hall Office hours: Monday and Wednesday: 12 – 2 PM and by appointment. Course Overview The objectives of this course are: (1) To provide you with an understanding of statistical methods and techniques and their usefulness in the decision-making process‚ (2) To expose you to the methods of descriptive

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    in relation to the market index. It is calculated as: Beta (Mobil) = Covariance (Return of Mobil oil‚ Return of Market) / Variance (Return of Market). Using Linear least squares‚ the estimated beta is the same as that calculated using Regression analysis on Excel. Estimated Beta is 0.714 which implies that the total return of Mobil Oil’s stock is likely to move up and down 71.4% of the time when the market changes. As 0.714 < 1‚ Mobil Oil’s stock is less volatile than the overall Market Portfolio

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    Technologies facility over the span of 1268 simulated days. Our team finished the simulation in 3rd place‚ posting $2‚234‚639 in cash at the end of the game. We did intuitive analysis initially and came up the strategy at the beginning of the game. And then we applied the knowledge we learned in the class‚ did process analysis and modified our strategies according to the performance results dynamically. We have reinforced many of the concepts and lessons learned in class and had a better understanding

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    References: Islam‚ M. Ezaz and M. Nurunnahar Begum (2005) "Is Investment Demand Sensitive to Interest Rate in Bangladesh? An Empirical Analysis." Bank Parikrama‚ BIBM‚ Vol-30(1)‚ pp-69-84. Ahmed‚ S. and Md. E. Islam (2006). "Interest Rate Responsiveness of Investment Spending in Bangladesh: A VAR Approach." Working Paper Series: WP 0608‚ Policy Analysis Unit (PAU)‚ Research Department‚ Bangladesh Bank. Dornbusch‚ R. and S. Fischer. (2001). Macroeconomics. 8th ed. New York: McGraw-Hill Inc. Rahman

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    INSTRUCTOR Prof AMIR SADRAIN 1. Generate a scatterplot for CREDIT BALANCE vs SIZE Regression Analysis: Credit Balance ($) versus Size 2. Determine the equation of the "best fit" line‚ which describes the relationship between CREDIT BALANCE and SIZE. There is a slight positive relationship between credit balance and size The regression equation is Credit Balance ($) = 2591 + 403 Size 3. Determine the coefficient of correlation

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    assumptions frequently used in cost-behavior estimation 2. Describe linear cost functions and three common ways in which they behave 3. Understand various methods of cost estimation 4. Outline six steps in estimating a cost function using quantitative analysis 5. Describe three criteria used to evaluate and choose cost drivers 6. Explain and give examples of nonlinear cost functions 7. Distinguish the cumulative average-time learning model from the incremental unittime learning model 8. Be aware of data

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    1. What is the difference between R2 and adjusted R2? R2 is a statistic that will give some information about the goodness of fit of a model. In regression‚ the R2 coefficient of determination is a statistical measure of how well the regression line approximates the real data points. An R2 of 1.0 indicates that the regression line perfectly fits the data. Adjusted R2 is a modification of R2 that adjusts for the number of explanatory terms in a model. Unlike R2‚ the adjusted R2 increases only if

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    investigate the effect of leverage on shareholders’ return i.e. Shareholders’ rspective. return in the form of EPS of some listed companies under four industries in Bangladesh. The study identifies the relationship between leverage and EPS. A simple regression model has been used for the pooled data of the selected EPS. listed companies in Bangladesh considering debt ratio as independent variable and EPS as dependent variable. The study results reveal leverage has statistically significant effect on the

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    IBES Research Methodology The interactive effect of alcohol and altitude on traffic fatalities‚ 1992 Instructor : Date : Team member : Summary  Presentation of the article  Article overview  Research question  Main hypothesis  Methodology  Data  Interpretation of the results  Conclusion Presentation  Title: « The interactive effect of alcohol and altitudes on traffic fatalities ». (1992‚ Southern Economic Journal)  Authors:   Richard Fowles: Professor at University

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    research‚ analysis and conclusive study and we are thankful to her for untiring efforts in this accomplishment. We also owe to our college library‚ the major source of information. Lastly we thank our family and friends for their constant support and love. Regards‚ RESHAM SHARDA SONA CHAUDHARY SUGANDH KUMARIA SAMRIDHI SHARMA MANISHA NIRALA ABSTRACT This study focuses on the factors affecting the BSE Sensex. Using time series data from the years 1993-94 to 2013-2014 multiple regression analysis is applied

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