Podcast
Questions and Answers
What is the main goal when adding parameters to a model?
What is the main goal when adding parameters to a model?
- To complicate the model as much as possible
- To get the most accurate prediction possible
- To always accept a simple model
- To get the most bang for our buck from a model's parameters (correct)
What happens to the prediction or generalization to new data when adding more parameters to a model?
What happens to the prediction or generalization to new data when adding more parameters to a model?
- It often gets worse (correct)
- It always gets better
- It is unpredictable
- It stays the same
What is the starting point when building a model?
What is the starting point when building a model?
- A simple model
- A model with only main effects
- The saturated model (correct)
- A model with 2-way interactions
What is the purpose of removing the highest order interaction in the saturated model?
What is the purpose of removing the highest order interaction in the saturated model?
What is true about the likelihood ratio statistic (G2)?
What is true about the likelihood ratio statistic (G2)?
What is the condition for removing 2-way interactions in a model?
What is the condition for removing 2-way interactions in a model?
What is the minimum number of cases per cell required for a good model?
What is the minimum number of cases per cell required for a good model?
What should be true about the expected cell frequencies?
What should be true about the expected cell frequencies?
What should be true about the standardized residuals?
What should be true about the standardized residuals?
What is the purpose of plotting standardized residuals against observed values?
What is the purpose of plotting standardized residuals against observed values?
Flashcards are hidden until you start studying
