"Stepwise regression" Essays and Research Papers

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    Jit Research Paper

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    The current issue and full text archive of this journal is available at www.emeraldinsight.com/0972-7981.htm The perceived impact of JIT implementation on operations performance Evidence from Chinese firms Zhi-Xiang Chen Sun Yat-Sen University‚ Guangzhou‚ China‚ and Perceived impact of JIT implementation 213 Kim Hua Tan Nottingham University Business School‚ Nottingham‚ UK Abstract Purpose – The purpose of this paper is to investigate the perceived impact of just-in-time ( JIT) implementation

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    Coursework 1: Data Analysis Using IBM SPSS By jtrene7@gmail.com Course Instructor Institution City‚ State Date Question 1 Part A: Descriptive Analyses on the Variables In this section‚ descriptive analysis of the variables is made in accordance with the level of measurement of the variables. In this context‚ the variables have been evaluated at the four distinct levels‚ which include nominal‚ ordinal‚ interval‚ and ratio (Frankfort-Nachmias & Nachmias

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    INTERNATIONAL JOURNAL OF BUSINESS‚ 12(1)‚ 2007 ISSN: 1083−4346 General Electric Performance over a Half Century: Evaluation of Effects of Leadership and Other Strategic Factors by Quantitative Case Analysis Richard H. Frankea‚ Anthony J. Mentob‚ Steve M. Prumoc‚ and Timothy W. Edlundd abc Department of Management and International Business‚ The Sellinger School‚ Loyola College; 4501 North Charles St.‚ Baltimore‚ MD 21210 rfranke@loyola.edu‚ amento@loyola.edu‚ steve.prumo@verizon.net

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    A STUDY ON THE DETERMINANT FOR FAMILY TAKAFUL CONSUMPTION ABDIQANI JAMA ABDULLAHI S815496 MASTER OF ISLAMIC FINANCE AND BANKING FACULTY OF BUSINESS MANAGEMENT UNIVERSITY UTARA MALAYSIA KEDAH‚ SINTOK Full the Project DECLARATION OF ORIGINAL WORK MASTER OF ISLAMIC FINANCE AND BANKING FACULTY OF BUSINESS MANAGEMENT UNIVERSITIY UTARA MALAYSIA CAMPUS SINTOK I am Abdiqani Jama Abdullahi My number: 0147435711 Hereby declares that: This work has not previously been accepted in substance

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    Introductory Econometrics

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    A brief overview of the classical linear regression model What is a regression model? Regression versus correlation Simple regression Some further terminology Simple linear regression in EViews -- estimation of an optimal hedge ratio The assumptions underlying the classical linear regression model Properties of the OLS estimator Precision and standard errors An introduction to statistical inference 27 27 28 28 37 2.6 2.7 2.8 2.9 v 40 43 44 46 51 vi Contents

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    THE MACROECONOMIC UNCERTAINTY IN THE OIL AND GAS EQUIPMENT SERVICE INDUSTRY We explore how the macroeconomic fluctuation can really affect the performance of a company. We analyze the companies of the oil and gas equipment service industry: FMC Technologies‚ NOV‚ and Schlumberger. We use the MUST Analysis in order to discover what were the macroeconomic variables that really affects our companies’ performance‚ the magnitude‚ and the direction of the variables with the performance. The data sources

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    Trade flow between Pakistan and other SAARC Countries Submitted by: Mustajab Ibrahim (12630) Submitted to: Mr.Nawaz Ahmed IQRA UNIVERSITY DEFENCE VIEW KARACHI DATE: 11th December‚ 2012 Abstract This research paper offers a selective survey of gravity equation in the International Trade. Gravity equation was first introduced in the Sixties as a purely empirical proposition to explain bilateral trade flow. The data was taken from the SAARC countries to evaluate the factors affecting

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    stability‚ transient stability‚ voltage stability‚ direct method‚ time domain simulation‚ dynamic security assessment‚ Prony Analysis‚ Eigenanalysis‚ reactive power reserves‚ online voltage stability‚ voltage stability monitoring‚ multi-linear regression models. Nhut Tien Nguyen MODERN POWER SYSTEM STABILITY ASSESSMENT TOOLS – A REVIEW ii Abstract With the development of power system‚ its stability assessment becomes more and more complicated task. Nowadays‚ there are various tools

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    Calculator tips&tricks

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    SD Statistical Calculations REG Population Standard Deviation (σn) = 1.316956719 Arithmetic Mean (o) = 53.375 Number of Data (n) = 8 SD Standard Deviation Sum of Values (Σx) = 427 Sum of Squares of Values (Σx 2 ) = 22805 Use the F key to enter the SD Mode when you want to perform statistical calculations using standard deviation. SD .................................... F 2 (fx-95MS) F F 1 (Other Models) • Always start data input with A B 1 (Scl) = to clear statistical

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    Count 32.00 32.00 32.00 32.00 32.00 32.00 32.00 32.00 32.00 2. Multiple regression model   Coefficients Standard Error t Stat P-value Intercept 0.976996 0.579844 1.68493 0.103528 DefYds/G -0.00333 0.001291 -2.57907 0.015675 RushYds/G 0.004249 0.001353 3.140408 0.004061 PassYds/G 0.000735 0.000873 0.842015 0.407176 FGPct -0.00064 0.004715 -0.13649 0.89245 The estimated regression model is WinPct =0.976996-0.00333*DefYds/G+0.004249*RushYds/G+0.000735*PassYds/G-0

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