Why Transform Variables?

Industrial data is rarely perfectly linear. Variable transforms help linearize curved relationships so the model can understand them.

Common transforms:
  • LOG10(x) — compresses large values, reduces skew
  • LN(x) — straightens exponential relationships
  • SQRT(x) — softens steep positive curves
  • 1/x — converts inverse relationships to linear
  • — strengthens weak relationships
  • Z-score — standardizes variables with different scales
  • Min-Max — normalizes values to 0–1 range
A good transform can significantly improve R².
Try it in the app
Try: In the Vars tab, select an X variable → click the transform dropdown → choose LOG10 → re-run regression and compare R² before and after.
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Run this on your own data

Free tier, no signup needed. Works offline in the browser.

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