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Predicting purchase behavior and uncertainty

The log_mod2 purchase behavior model lets you make predictions off credit data. In this exercise, you'll use a new set of data, new_credit_data, and calculate predicted outcomes and confidence bounds.

The model (log_mod2) from the exercise 3 is available in your workspace.

This exercise is part of the course

Nonlinear Modeling with Generalized Additive Models (GAMs) in R

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Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Calculate predictions and errors
predictions <- ___(log_mod2, newdata = ___, 
                       type = ___, se.fit = ___)

# Inspect the predictions
predictions
Edit and Run Code