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Section 1: Lecture 7 - Predicting Binary Outcomes

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Section 1: Lecture 7 - Predicting Binary Outcomes

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Questions and Answers

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?

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?

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?

To test the significance of the interaction Signup and view all the answers

What is true about the likelihood ratio statistic (G2)?

It has an approximated chi-squared distribution Signup and view all the answers

What is the condition for removing 2-way interactions in a model?

The change in fit is non-significant Signup and view all the answers

What is the minimum number of cases per cell required for a good model?

5 times as many cases as there are cells Signup and view all the answers

What should be true about the expected cell frequencies?

All should be greater than 1 Signup and view all the answers

What should be true about the standardized residuals?

They should be normally distributed Signup and view all the answers

What is the purpose of plotting standardized residuals against observed values?

To identify patterns in the residuals Signup and view all the answers