graphing
Tables and regression in Graph Lab
Graph Lab accepts numeric tables, fits common regression models, and overlays the curve—open the quadratic demo, then paste your own x/y pairs.
By UtilBloom · Published 2026-10-12 · Updated 2026-10-12
The problem
Labs and homework give discrete x/y pairs that need a fitted curve, not just a scatter sketch. Uploading student data to a random regression site may violate classroom privacy norms.
How to fit a table in Graph Lab
Add a table item, enter x and y columns, enable regression, and pick linear, quadratic, exponential, or power. Read R² notes when shown and keep the overlay curve with the points. Open the table + quadratic regression demo.
When Data Lab or Desmos is better
Use /datalab and Data Lab CSV guide for large spreadsheets before plotting. Use Desmos if the graded activity already embeds its regression UI. For a one-line OLS formula without a graph, try /math/regression.
FAQ
Which regression models are available?
Linear, quadratic, exponential, and power fits are supported on table items—verify the current UI for your model.
Does regression leave my laptop?
Fitting runs locally in the Graph Lab pipeline; share links only if you copy a hash.
Can I plot residuals?
Toggle residual display when the table UI exposes it; otherwise compute residuals in Data Lab.
Is this for Classroom statistics lessons?
Pilot first—Desmos may still be required for curriculum-aligned stats activities.