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8: Multiple and Logistic Regression

[ "article:topic-guide", "Multiple Regression", "logistic regression", "authorname:openintro" ]
  • Page ID
    318
  • The principles of simple linear regression lay the foundation for more sophisticated regression methods used in a wide range of challenging settings. In Chapter 8, we explore multiple regression, which introduces the possibility of more than one predictor, and logistic regression, a technique for predicting categorical outcomes with two possible categories.

    Thumbnail: The logistic sigmoid function. Image used with permission (Public Domain; Qef).

    Contributors

    David M Diez (Google/YouTube), Christopher D Barr (Harvard School of Public Health), Mine Çetinkaya-Rundel (Duke University)