REVISED M04_REND6289_10_IM_C04.QXD 5/7/08 2:49 PM Page 46 C H A P T E R Regression Models 4 15 9 40 20 25 25 15 35 6 4 16 6 13 9 10 16 TEACHING SUGGESTIONS Teaching Suggestion 4.1: Which Is the Independent Variable? We find that students are often confused about which variable is independent and which is dependent in a regression model. For example, in Triple A’s problem, clarify which variable is X and which is Y. Emphasize that the dependent variable (Y ) is what we are trying to
Words: 3989 - Pages: 16
CHAPTER FIVE CONCLUSION, RECOMMENDATION AND SUMMARY 5.1 Introduction This chapter consists of conclusions, recommendation and summary of the chapter. 5.1 Conclusion In this project work, the researcher has attempted to establish the factors that influence dividend payout for firms listed on the London Stock Exchange and 32 firms were randomly selected covering a period of nine years (2004 – 2009). In other to reach a better understanding of the study, relevant literature reviews and some
Words: 662 - Pages: 3
Probability & Statistics for Engineers & Scientists This page intentionally left blank Probability & Statistics for Engineers & Scientists NINTH EDITION Ronald E. Walpole Roanoke College Raymond H. Myers Virginia Tech Sharon L. Myers Radford University Keying Ye University of Texas at San Antonio Prentice Hall Editor in Chief: Deirdre Lynch Acquisitions Editor: Christopher Cummings Executive Content Editor: Christine O’Brien Associate Editor: Christina Lepre Senior
Words: 201669 - Pages: 807
Page 75 UNDERSTANDING THE LIMITATIONS OF FINANCIAL RATIOS Joseph Faello, Mississippi State University ABSTRACT The purpose of this paper is to provide financial statement users and accounting academics with some useful insights when working with financial ratios. Initially, the uses and benefits of financial ratios and the limitations of using financial ratios are discussed from the financial statement users’ and accounting academics’ perspectives. Then, practical advice is provided to
Words: 5849 - Pages: 24
) * ( N K 1) s X k 2 X k Gk 2 s 1 RYH *y Tolk * ( N K 1) s X k Vif k * 2 s 1 RYH *y ( N K 1) s X k Questions: What happens to the standard errors as R2YH increases? As N increases? As K increases? As the multiple correlation between one DV and the others increases? From the above formulas, it is apparent that The bigger R2YH is, the smaller the standard error will be. The bigger R2XkGk is (i.e. the more highly correlated Xk is with the other
Words: 3754 - Pages: 16
J. Bus. Financ. 01 (03) 2013. 94-104 94 Available Online at ESci Journals Journal of Business and Finance ISSN: 2305-1825 (Online), 2308-7714 (Print) http://www.escijournals.net/JBF LACK OF TIMELINESS AS AN EXPLANATION OF THE LOW CONTEMPORANEOUS RETURNS-EARNINGS ASSOCIATION Jaouida E. Trabelsi Institute of the High Commercial Studies of Sfax (IHEC), University of Sfax, Tunisia. A B S T R A C T This paper empirically tests whether the low contemporaneous returns-earnings association set by previous
Words: 5865 - Pages: 24
Justin Andre EC315-Robert Simcoe Quantitative Research Paper 05/07/2015 I have decided to have a look at the exchange rate for the Euro Dollar to the United States Dollar for my research paper. The dependent variable is the daily high to low price movement of the Euro Dollar to the United States Dollar shown in percentage interest points where 100 is equal to 1 penny difference in price. The dependent variable is determined by independent variables average true range, volumes
Words: 3044 - Pages: 13
35353 Regression Analysis Mini Conference Report Interest Rate Movement in Australia Analysts: Conrad Gutierrez – 10169050 Contents page: Introduction 3 Methodology 4 Multiple Linear Regression 4 * Model Assumptions 4 Full Model 5 New Full Model 7 Finding the Best Model * Method 1: Stepwise Regression 9 * Method 2: Forward Selection 11 * Method 3: Backward Elimination 12 * Method
Words: 7765 - Pages: 32
COURSE SYLLABUS BMGT 230 - BUSINESS STATISTICS Summer Session 0301 - 2014 Instructor Information Professor: Frank B. Alt (falt@rhsmith.umd.edu ) Office: 4323 Van Munching Hall (VMH) Office Hours: After all teaching days (2:00-3:00 p.m.) and by appointment Office Phone: 301-405-2231 Course Assistant Mr. Daniel Klein Office Hours: After all class days (except 6/19) from 3:00pm – 4:30pm Office: 4308 Email: dklein99@terpmail.umd.edu Class Information
Words: 2335 - Pages: 10
to the model where appropriate. A sample of participants on a management development programme within the Irish health service completed the Learning Transfer System Inventory based on the Holton model. The data obtained were analysed using multiple regression and partial correlation techniques. Results indicate that the model does adequately represent the effects of its factors, although a slightly revised model is presented. Important relationships between factors are identified, and the central
Words: 8748 - Pages: 35