Basic statistics
Logistic regression
Model a yes/no outcome, such as adoption of a technology, from one or more predictors.
Data format
Names in the first row. First column: the outcome coded 0 or 1. Other columns: numeric predictors.
Adopted, Age, Education, Land 0, 45, 5, 1.2 1, 30, 12, 2.5 1, 35, 6, 1.9
You get
- Coefficients with Wald test, odds ratios Exp(B) and 95% CI
- Model chi-square, −2 log likelihood, Cox & Snell and Nagelkerke R²
- Classification table at a 0.5 cut-off
Downloads as Excel, PDF and Word.
Enter data
Variable names in the first row. First column: the outcome coded 0 or 1. Other columns: numeric predictors (code categories as 0/1).
or drag and drop here