Multi-variable Statistics, Linear, Ridge, and Logistic Regression

This tool allows you to load your dataset (variables as columns, observations as rows) and perform regression analysis using linear, ridge, or logistic methods. It will generate predictions and allow you to output a full scientific report summarizing your analysis.

Paste Excel Data (include header row if available)


No. Actions

Regression Analysis

Select the Dependent Variable below. All other variables will be used as Independent Variables for prediction. Choose from Multiple Linear, Ridge, or Logistic Regression. The results (including coefficients, error metrics, and R² or McFadden's R²) are shown along with an interpretation of model fit.

Recommendation: Select a dependent variable to see which regression model is best suited.

Prediction