This web page performs logistic regression, in which a dichotomous outcome is predicted by one or more variables. The program generates the coefficients of a prediction formula (and standard errors of estimate and significance levels), and odds ratios (with confidence intervals).

It extends John Pezzullo's http://statpages.info/logistic.html to handle higher order powers of the explanatory variable; e.g.

`P/(1–P)=b`_{0}+b_{i}X_{i}+c_{i}(X_{i})^{2}

, as well as enable you to calculate Predictive Probability for specific Covariate Patterns.
- N-row × M-col matrix
- First row
**must**contain column names

Use short informative names without special characters - List (comma separated) Numeric variables below
- Non-Numerical variable is treated as
**categorial** - Write copy/paste (Excel) or load CSV file
- Delimiter
`comma`

,`space`

or`tab`

- Use
**NA**for missing cases