Start here — upload an .xlsx, .xls, or .csv file, or drag it anywhere on the window. Then hit Auto-Analyze and we'll pick the best columns, fit the best model, and explain it for you.
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Auto-fit the best ML model for your data
▶Show data preview
Column Selection
Correlation Matrix
Click a cell to set X / Y
Multiple X Predictors
Variable
β
SE
p-val
R²—
Adj. R²—
F-stat—
Help & Tips
Welcome to QuantRegress! Upload a spreadsheet using the button above, then select X and Y columns to run a regression. Take the quick tour → | Open Glossary
Regression Model
⭐ Suggested: —
All Models
Click row to switch model · ⭐ best AIC
Model
R²
Adj.R²
RMSE
Model Comparison (last 3)
Click row to restore model
Model
R²
Adj.R²
AIC
BIC
STATISTICS
Fit Statistics
R² (fit)ⓘ—
P-Value (trust)ⓘ—
N Points—
▶Show advanced stats
Adj. R²ⓘ—
F-statisticⓘ—
Pearson rⓘ—
Residual σⓘ—
Outliersⓘ—
—
Compare with ML models
Coefficient Table ⓘ
ANOVA ⓘ
Model Insight
▲ collapse
📊 What this means in plain English
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X-Predictor
Drag X to predict Y
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95% CI (mean response) ⓘ —
95% PI (individual response) ⓘ —
Stepwise Selection ⓘ
ROI Calculator
Run regression to calculate ROI.
Diminishing Returns
Run quadratic for diminishing returns.
Break-Even Analysis
Which lever matters most?
Feature Importance
Regression Diagnostics
Axis Labels
Canvas Background
Pick custom background
Plot Style
Line
Marker
Chart Type
Label Font Size
12
Aspect Ratio
Display Options
Show Grid
Peak/Low Annotations
Highlight Outliers
95% CI Band
ON
⚠ Run a regression first to display bands.
Show Uncertainty Bands
Annotation Mode
Diagnostic Plots
Residual Histogram
Focus Zone
Forecast
Extend curve beyond data
Export
START HERE
Upload a spreadsheet to get started.
Then hit ✨ Auto-Analyze — we'll pick the best columns, fit the best model, and explain it in plain English. Drop .xlsx / .xls / .csv anywhere on the window.