One Way Graph Calculations

• One-Way Graph Calculation:

• Graph Visualization:

Three variables are plotted

Observed Average: This line is the empirical average of the observed data

Calculation is the average per group

Fitted Average: This is the average prediction for a group done by a model
Will require fitting an ML model and then calculating the average of the predictions by group

Model Prediction at Base Levels:

This line represents the predictions of the model when all variables are set to their base levels. The base level is typically the reference category against which other categories are compared in categorical variables, or a specific value (often zero) in continuous variables.
Calculation: You use the model to predict outcomes assuming that all variables are at their base levels. This line is constant if the variable plotted is the only one in the model. If there are other variables in the model, this line will show the prediction adjusted for the base levels of those other variables.
Model prediction at base levels

No files, tests, or entry points are named. Start by locating the plugin's existing model-fitting and graph-visualization paths, then define how one-way calculations produce observed averages, fitted prediction averages, and predictions at base levels; done means these three lines are calculated and shown for the graph.