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Difference between revisions of "Logistic regression"
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'''Logistic regression''' is a type of curve fitting. It used for | '''Logistic regression''' is a type of curve fitting. It used for categorical outcome variables. Examples of categorical outcomes variables are: (1) pass/fail, (2) dead/alive. | ||
==Special types of LR== | ==Special types of LR== | ||
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===Ordered LR=== | ===Ordered LR=== | ||
If the dependent variable is categorical and ordered (e.g. ''Grade 1'', ''Grade 2'', ''Grade 3''), ''ordered logistic regrssion'' is used.<ref>Ordinal Logistic Regression | R Data Analysis Examples. UCLA. URL: [https://stats.idre.ucla.edu/r/dae/ordinal-logistic-regression/ https://stats.idre.ucla.edu/r/dae/ordinal-logistic-regression/]. Accessed on: March 24, 2018</ref> | If the dependent variable is categorical and can be ordered in a meaningful way (e.g. ''Grade 1'', ''Grade 2'', ''Grade 3''), ''ordered logistic regrssion'' is used.<ref>Ordinal Logistic Regression | R Data Analysis Examples. UCLA. URL: [https://stats.idre.ucla.edu/r/dae/ordinal-logistic-regression/ https://stats.idre.ucla.edu/r/dae/ordinal-logistic-regression/]. Accessed on: March 24, 2018</ref> | ||
==GNU/Octave example== | ==GNU/Octave example== | ||