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Popularity for Observed Songs

Let's practice making predictions about song popularity from the Spotify songs data. This will get us used to the syntax we will use for making predictions for new data that was not observed.

This exercise is part of the course

Bayesian Regression Modeling with rstanarm

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Exercise instructions

  • Estimate a model predicting popularity from song_age and artist_name
  • Print a summary of the estimated model
  • Create posterior distributions of the predicted scores for each song
  • Print the first 10 predicted scores for the first 5 songs

Hands-on interactive exercise

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

# Estimate the regression model
stan_model <- stan_glm(___, data = songs)

# Print the model summary
___(stan_model)

# Get posteriors of predicted scores for each observation
posteriors <- ___(stan_model)

# Print 10 predicted scores for 5 songs
___[___:___, ___:___]
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