Category Archives: Introduction

Why Regular Regression Does NOT Work

It is an error to use regular least-squares regression when the dependent Y-variable is binary (takes on values of 0 or 1 only). Note: see the previous article When to Use Logistic Regression for a discussion of dichotomous and binary … 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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