Scatterplots for Logistic Regression

Scatterplots for Logistic Regression

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. Furthermo...

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Veröffentlicht in:Journal of computational and graphical statistics 1999-09, Vol.8 (3), p.413-425
Hauptverfasser: Eno, Daniel R., Terrell, George R.
Format: Artikel
Sprache:eng
Schlagworte:
Binomials
Contour lines
Datasets
Discussion Article
Gray scale
Grayscale
Likelihood
Linear regression
Logistic regression
Maximum likelihood estimation
Maximum likelihood estimators
Poisson regression
Probit
Regression analysis
Sample size
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Beschreibung
Zusammenfassung: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.
ISSN:1061-8600
1537-2715
DOI:10.1080/10618600.1999.10474822