Regression analysis

Open data or try an example

Accepts .xlsx, .csv or .tsv up to 5 MB. Excel uses the first worksheet. The first row contains variable names; each subsequent row is one observation.

Preparing the tool…

Methods and reference documentation

OLS uses least squares; binary logistic regression uses maximum likelihood. Categorical predictors use reference-group coding. The analysis sample consists of complete rows for the selected variables.

This version fits observational regressions with an intercept. It does not handle complex survey designs, survey weights, clusters, multilevel data or causal inference. Check convergence and warnings before using logistic results.

• R stats: lm coefficients, standard errors, tests and model fit
• R stats: generalised linear models and logistic regression
• R sandwich: HC3 robust covariance estimation