Language: English
Published by SAGE Publications, Inc (edition 1), 2016
ISBN 10: 1506303471 ISBN 13: 9781506303475
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Paperback. Condition: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Language: English
Published by SAGE Publications, Inc, 2016
ISBN 10: 1506303471 ISBN 13: 9781506303475
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Language: English
Published by SAGE Publications, Inc, 2016
ISBN 10: 1506303471 ISBN 13: 9781506303475
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Language: English
Published by SAGE Publications, Inc, 2016
ISBN 10: 1506303471 ISBN 13: 9781506303475
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Language: English
Published by SAGE Publications, Inc, 2016
ISBN 10: 1506303471 ISBN 13: 9781506303475
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Language: English
Published by SAGE Publications, Inc, 2016
ISBN 10: 1506303471 ISBN 13: 9781506303475
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
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Paperback. Condition: Brand New. 216 pages. 9.00x7.25x0.50 inches. In Stock.
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Language: English
Published by SAGE Publications Inc, 2016
ISBN 10: 1506303471 ISBN 13: 9781506303475
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£ 136.23
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Language: English
Published by Sage Publications, Inc, 2016
ISBN 10: 1506303471 ISBN 13: 9781506303475
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Elementary Regression Modeling by Roger A. Wojtkiewicz builds on simple differences between groups to explain regression and regression modeling. User-friendly and immediately accessible, this book gives readers a thorough understanding of control modeling, interaction modeling, modeling linearity with spline variables, and creating research hypotheses that serve as a conceptual basis for many of the processes and procedures quantitative researchers follow when conducting regression analyses.