Chapter 10 Evaluating Regression Models

Learning objectives:

• Determine whether a model is fair
• Discuss data science ethics
• Explore our model’s posterior predictive accuracy

data(bikes)
ggplot(bikes, aes(y = rides, x = temp_feel)) + 
  geom_point(size = 0.2) + 
  geom_smooth(method = "lm", se = FALSE)

## `geom_smooth()` using formula = 'y ~ x'