How to Read Your Results
After running regression, the Results tab shows several key metrics:
- R² — how well the model fits (0 to 1; higher is better)
- Coefficients — how much each variable changes the output per unit increase
- p-values — whether each variable is statistically significant (p < 0.05 = significant)
- Residuals — difference between predicted and actual values
- RMSE — average prediction error in original units
- R² > 0.8 → strong model
- R² 0.6–0.8 → acceptable for industrial data
- R² < 0.6 → try transforms or collect more samples
Try it in the app
Try: Run regression → read R² and RMSE in the Stats cards → look at each coefficient's p-value in the Coefficients table. A p-value > 0.05 suggests that variable may not be adding value.