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📈 Logistic Regression
Binary classification model · coefficient estimates · odds ratios · ROC curve · probability prediction
Logistic regression is for binary outcomes (pass/fail, success/failure, diseased/healthy). Enter predictors X and the binary outcome Y (0 or 1); the tool fits the model automatically and computes odds ratios, p-values, and ROC/AUC.
Data format (one sample per row; last column is Y=0/1)
Variable names (comma-separated; the last is the outcome)
🎯 Model Overview
📐 Regression Equation
📋 Coefficient Table
📈 ROC Curve (AUC = )
🔮 Probability Prediction
About Logistic Regression Calculator
Fit binary logistic regression online: coefficients, odds ratios, Wald p-values, Hosmer-Lemeshow goodness of fit, AUC and confusion matrix.
Learn more about this tool →
Linear Regression
Discriminant Analysis
Chi-Square Test
Principal Component Analysis
A/B Test & Equivalence (TOST)
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