Logistic Regression: Developing a Model for Risk Analysis
Logistic regression is a useful statistical technique for developing a prediction model for any event that is binary in nature. A binary event can either occur or not occur. It has only two states which may be represented by 1(occurrence) and 0(nonoccurre
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J.P. Verma
Data Analysis in Management with SPSS Software
J.P. Verma Research and Advanced Studies Lakshmibai National University of Physical Education Gwalior, MP, India
ISBN 978-81-322-0785-6 ISBN 978-81-322-0786-3 (eBook) DOI 10.1007/978-81-322-0786-3 Springer New Delhi Heidelberg New York Dordrecht London Library of Congress Control Number: 2012954479 The IBM SPSS Statistics has been used in solving various applications in different chapters of the book with the permission of the International Business Machines Corporation, # SPSS, Inc., an IBM Company. The various screen images of the software are Reprinted Courtesy of International Business Machines Corporation, # SPSS. “SPSS was acquired by IBM in October, 2009.” IBM, the IBM logo, ibm.com, and SPSS are trademarks of International Business Machines Corp., registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the Web at “IBM Copyright and trademark information” at www.ibm.com/legal/copytrade.shtml. # Springer India 2013 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
To my elder sister Sandhya Mohan for having me introduced in statistics Brother-in-law Rohit Mohan for his helping gesture
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