Linear regression : an introduction to statistical models

著者

    • Martin, Peter

書誌事項

Linear regression : an introduction to statistical models

Peter Martin

(The SAGE quantitative research kit / editors, Malcolm Williams, Richard D. Wiggins, D. Betsy McCoach)

SAGE, c2021

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注記

Includes bibliographical references (p. [171]-173) and index

内容説明・目次

内容説明

This text introduces the fundamental linear regression models used in quantitative research. It covers both the theory and application of these statistical models, and illustrates them with illuminating graphs. The author offers guidence on: Deciding the most appropriate model to use for your research Conducting simple and multiple linear regression Checking model assumptions and the dangers of overfitting Part of The SAGE Quantitative Research Kit, this book will help you make the crucial steps towards mastering multivariate analysis of social science data.

目次

What is a statistical model Simple linear regression Assumptions and transformations Multiple linear regression: A model for multivariate relationships Multiple linear regression: Inference, assumptions, and standardization Where to go from here

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詳細情報

  • NII書誌ID(NCID)
    BC12737799
  • ISBN
    • 9781526424174
  • LCCN
    2020949998
  • 出版国コード
    uk
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    London
  • ページ数/冊数
    xxii, 178 p.
  • 大きさ
    25 cm
  • 分類
  • 件名
  • 親書誌ID
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