Regression · OLS
Linear Regression
Fit an OLS regression model. View coefficients, R², F-statistic, residual plot, and Q-Q plot.
Step 1 — Enter your data
First row = headers. First column = Y (outcome). Remaining columns = predictors (X).
Regression equation
| Variable | Coefficient | Std Error | t-value | p-value | Significant? |
|---|
Scatter plot with regression line
Q-Q plot (residuals)
Plain English interpretation
Learn more — related lessons on rubiX
Simple & multiple regression
Regression diagnostics
Model selection: AIC, BIC, R²
Multicollinearity & VIF