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Logistic Regression Odds Ratio — The Math
In this article, I am going to show you why the odds ratio for an variable in a logistic regression is simply the exponential of the regression coefficient. This article just contains “the math” and no interpretation. A discussion of … Continue reading
Understanding Logistic Regression Output:
Part 3 — Assessing the Effects of the XVariables
In logistic regression, as in leastsquares regression, you often want to try to assess the effects of the independent variables on the dependent variable. In logistic regression, however, things are somewhat more complicated than in leastsquares regression as I explain … Continue reading
What is the Odds Ratio in Logistic Regression?
Most logistic regression software outputs (or can be asked to output) odds ratios along with the regression coefficients. These odds ratios are the exponential of the corresponding regression coefficient: For example, if the logistic regression coefficient is the … Continue reading
Understanding Logistic Regression Output:
Part 2 — Which Variables Matter
This article discusses one of the most important uses of the coefficient table, determining which variables matter. It is the second part of a fivepart series discussing the logistic regression output coefficient table and its uses. Click here to see … Continue reading
When to Use Logistic Regression
You should think about using logistic regression when your Y variable takes on only two values. Such a variable is referred to a “binary” or “dichotomous.” “Dichotomous” basically means two categories such as yes/no, defective/nondefective, success/failure, and so on. “Binary” … Continue reading
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Tagged binary variable, dependent variable, dichotomous variable, logistic regression, Xvariable, Yvariable
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