Interactive Logistic Regression Calculator

Data Input

Enter x values and binary y values (0 or 1)

x (Independent) y (Class: 0 or 1) Actions

Regression Results

P(y=1|x) = 1 / (1 + e-(β₀ + β₁x))

Intercept (β₀): -

Coefficient (β₁): -

Accuracy

-

Log-Likelihood

-