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Scatterplots for Logistic Regression.

Bibliographic Details
Title: Scatterplots for Logistic Regression.
Authors: Eno, Daniel R., Terrell, George R.
Source: Journal of Computational & Graphical Statistics. Sep99, Vol. 8 Issue 3, p413. 13p. 2 Charts, 7 Graphs.
Subject Terms: Regression analysis data processing, Bernoulli polynomials
Abstract: We present a method for graphically displaying regression data with Bernoulli responses. The method, which is based on the use of grayscale graphics to visualize contributions to a likelihood function, provides an analog of a scatterplot for logistic regression, as well as probit analysis. Furthermore, the method may be used in place of a traditional scatterplot in situations where such plots are often used. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Computational & Graphical Statistics is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Scatterplots for Logistic Regression.
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  Data: <searchLink fieldCode="AR" term="%22Eno%2C+Daniel+R%2E%22">Eno, Daniel R.</searchLink><br /><searchLink fieldCode="AR" term="%22Terrell%2C+George+R%2E%22">Terrell, George R.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Computational+%26+Graphical+Statistics%22">Journal of Computational & Graphical Statistics</searchLink>. Sep99, Vol. 8 Issue 3, p413. 13p. 2 Charts, 7 Graphs.
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  Data: We present a method for graphically displaying regression data with Bernoulli responses. The method, which is based on the use of grayscale graphics to visualize contributions to a likelihood function, provides an analog of a scatterplot for logistic regression, as well as probit analysis. Furthermore, the method may be used in place of a traditional scatterplot in situations where such plots are often used. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Computational & Graphical Statistics is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Text: English
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      – SubjectFull: Regression analysis data processing
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              Text: Sep99
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