Regression & Modeling · TOOL GUIDE

Linear Regression

Open Quantly ↗

Understand the method. Use it with confidence.

Model relationship between dependent and independent variables. Quantly runs the method against your active analysis context and returns structured results for review and interpretation.

01

When to use it

Use this tool to quantify relationships, explain variation, or predict an outcome from one or more features.
Use it only when the selected variables and study design match the method's requirements.

02

How to use it

  1. Open the tool from the Quantly Tools panel.
  2. Confirm the active dataset and analysis session.
  3. Set Dependent Variable (Y) (Required): The numeric variable you want to predict.
  4. Set Independent Variables (X) (Required): Select one or more variables to use as predictors.
  5. Set Significance Level (α) (Required): The threshold for determining if a predictor is statistically significant.
  6. Review optional or advanced settings and keep defaults unless your design requires a change.
  7. Run the tool, inspect warnings and diagnostics, then save or export the result with its assumptions.
03

How to interpret results

Review coefficients or feature effects, uncertainty, validation metrics, residual diagnostics, and leakage risk. Association is not causation, and performance should be evaluated on data not used for fitting.