What is logistic regression

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For a layman What is logistic regression?

Sep 7, 2018 in Data Analytics by Anmol
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3 answers to this question.

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Logistic regression is the statistical technique to make a binary predictive model to generate predict a target variable which could be either 0 or 1.

Logistic regression is the the tweaked version of linear regression wherein at the output of linear regression a sigmoid function is applied.
answered Sep 7, 2018 by Abhi
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Logistic regression is the appropriate regression analysis to conduct when the dependent variable is dichotomous (binary).  Like all regression analyses, the logistic regression is a predictive analysis.  Logistic regression is used to describe data and to explain the relationship between one dependent binary variable and one or more nominal, ordinal, interval or ratio-level independent variables.

Sometimes logistic regressions are difficult to interpret; the Intellectus Statistics tool easily allows you to conduct the analysis, then in plain English interprets the output.

answered Sep 11, 2018 by zombie
• 3,790 points
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Logistic regression is analysis to conduct when the dependent variable is dichotomous (binary).  Like all regression analyses, the logistic regression is a predictive analysis.  Logistic regression is used to describe data and to explain the relationship between one dependent binary variable and one or more nominal, ordinal, interval or ratio-level independent variables.
answered Aug 7, 2019 by anonymous

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