Available Variables
Your Model
Predictors (X)
Variables that help predict the count
Drop predictors here
Response (y)
What we predict
Drop response here
Build a model to predict daily bike rental counts
Unlike Tutorial 1 (continuous heart rate) or Tutorial 2 (binary disease status), here we're predicting a count: how many bikes are rented each day (0, 1, 2, ..., thousands). Counts are always non-negative integers—this requires a different type of GLM.
Drag Rental Count to the Response zone on the right.
The response variable (y) is what we're trying to predict.
Variables that help predict the count
Drop predictors here
What we predict
Drop response here