Tutorial 5: Positive Continuous Data

Gamma regression for strictly positive outcomes

A New Challenge: Positive Continuous Data

Blood pressure can never be negative or zero - it's strictly positive. The standard Gaussian (Normal) distribution allows negative predictions, which doesn't make sense here. We need a distribution that only produces positive values.

Solution: Gamma regression is designed for positive continuous data with variance that increases with the mean.

Step 1: Select the Response Variable

Drag Resting BP to the Response zone on the right.

Blood pressure is always positive - a key characteristic for Gamma regression.

Why this variable? We want to predict a strictly positive continuous outcome.

Available Variables

Your Model

Predictors (X)

Variables that help predict BP

Drop predictors here

Response (y)

What we predict

Drop response here

Systematic component ready!
Next: choose a link function that ensures positive predictions.

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