Tag Archives: X-variable

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

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Understanding Logistic Regression Output:
Part 3 — Assessing the Effects of the X-Variables

In logistic regression, as in least-squares 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 least-squares regression as I explain … Continue reading
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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

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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 five-part series discussing the logistic regression output coefficient table and its uses. Click here to see … Continue reading
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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/non-defective, success/failure, and so on. “Binary” … Continue reading

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