Understanding Logistic Regression Output:Part 1 — The Coefficient Table

As with least-squares linear regression, the most important part of the output of a logistic regression is the regression coefficient table. In this five-part series of articles, which parallels and references the five-part series reviewing the least-squares regression coefficient table, … Continue reading

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What is Ordinal Logistic Regression?

Ordinal Logistic Regression is logistic regression using an ordinal variable. An ordinal variable is a categorical variable where order matters. A variable that takes on the values of “very bad,” “bad,” “mediocre,” “good,” “very good” would be an example. The … Continue reading

What is Nominal Logistic Regression?

Nominal Logistic Regression is logistic regression using a nominal variable as the dependent Y variable. The “nom” in “nominal’ comes from the Latin for “name” (not “number”) like in the word “nomenclature.” So a nominal variable is a variable whose … Continue reading

Least-Squares Background Part 4 — Making Predictions

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Understanding Logistic Regression Output:Background Part 1 – Least Squares Regression

As I have indicated previously on this web site, I am going to use regular linear least-squares regression as a starting point for explaining logistic regression. Thus, I will be assuming that you have some familiarity with regular linear regression. … Continue reading

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