CHAPTER 10. SIMPLE REGRESSION AND CORRELATION In agricultural research we are often interested in describing the change in one variable (Y, the dependent variable) in terms of a unit change in a second variable (X, the independent variable). Regression is commonly used to establish such a relationship. A simple linear regression takes the form of Y! = a + bx where is the predicted value of Y for a given value of X, a estimates the intercept of the regression line with the Y axis, and b estimates
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Central Universities, and the Research Funds of Renmin University of China. Electronic copy available at: http://ssrn.com/abstract=1933647 Size and Performance of Chinese Mutual Funds: The Role of Economy of Scale and Liquidity Abstract Using a detailed stockholding for a comprehensive sample of Chinese open-end equity mutual funds from 2004 to the first half of 2010, we investigated the effect of economy of scale and liquidity on the relationship between fund size and performance. We find
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innovation is a mediating or a moderating relationship. This paper examines the relationships among variables embedded in SimonsÕ framework of levers of control, explicitly distinguishing the different types of effects involved and testing their significance. The results of the survey-based research do not support the postulate that an interactive use of MCS favours innovation. They suggest this may be the case only in low-innovating firms, while the effect is in the opposite direction in high-innovating
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we also examine prior audit opinions for 93 companies entering bankruptcy in 1991 and 1992. We find that auditors were also more likely to issue prior going-concern modified audit opinions in 2002ñ03 than in the earlier recession recovery period. Following the technique used in Francis and Krishnan (2002), we document that the increase in going-concern modification rates for bankrupt companies after December 2001 is due to changes in auditor reporting decisions and not solely due to differences in
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Prof. Orlowski PROBLEM SET #1 (Due date: February 29, 2016) Use the quarterly data base from the Federal Reserve Bank of St. Louis FRED provided to you in the EViews program to answer the following questions: 1. Choose the real US export of goods and services (REXPGS), real import of goods and services (RIMPGS) and disposable personal income (DPI) variables. View their descriptive statistics. Analyze skewness, kurtosis and volatility
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APPENDICES A B C Quantitative Review References to CFA Questions Glossary A P P E N D I X A QUANTITATIVE REVIEW Students in management and investment courses typically come from a variety of backgrounds. Some, who have had strong quantitative training, may feel perfectly comfortable with formal mathematical presentation of material. Others, who have had less technical training, may easily be overwhelmed by mathematical formalism. Most students, however, will
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|27/05/2011 Executive Summary This report is based on the ‘Portfolio Management Simulation Project’. It provides an analysis and evaluation of the monthly holding period returns of both managed portfolio and market portfolio of MSCI
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| Data Analysis Project | | Brad Davidson | | 12/2/2010 | | Executive Summary This purpose of this report is to answer the question, “what variables affect the level of crime in the United States?” With so many possible influences, the goal of this analysis will be to narrow the scope to the items which we feel will be most statistically significant when gauging the effect on the level of crime. The regression analysis methodology is best suited for this analysis since it can
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BEHAVIOR OF MOBILE COMMUNICATION DEVICES USERS’ STATISFACTION LEVEL A Research Developed in Fulfilling the Course Completion of Managerial Data Analysis by Daniel Vincent Hadikrisno December 2011 . STATEMENT BY THE AUTHOR I hereby declare that this submission is my own work and, to the best of my knowledge, contains no material previously published or written by another person. Jakarta, 18th of December 2011 ( Daniel Vincent Hadikrisno ) ABSTRACTION The main purpose of this
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Incentives on New Capital Expenditures Sanjay Gupta and Mary Ann Hofmann ABSTRACT: This study examines how variations in states’ corporate income tax regimes affect new capital investment by business. Using U.S. state-aggregated data from 1983 to 1996, we find in pooled and fixed-effects regressions that new capital expenditures by corporations in the manufacturing sector are decreasing in the income tax burden on property (measured as the product of the statutory tax rate and the property factor
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