Here is another 10 question quiz on logistic regression in R:

Master Logistic Regression in R – Part 2!

This quiz will test more skills like:

– Model building and variable selection

Quiz 10

Here is another 10 question quiz on logistic regression in R:

Master Logistic Regression in R - Part 2!

This quiz will test more skills like:

- Model building and variable selection
- Detecting interactions
- Handling class imbalance
- Validation techniques
- Making class predictions

See if you can:

- Compare and select models with AIC/BIC
- Find interactions between predictors
- Deal with imbalanced response categories
- Validate models with train/test split
- Make optimal probability cutoffs for classification

Advancing these skills will continue taking your applied logistic regression to the next expert level!

1 / 10

What is the best way to compare logistic regression models in R?

2 / 10

How would you test for an interaction between two predictors in a logistic model?

3 / 10

. What method handles class imbalance in logistic regression?

4 / 10

How should you validate a logistic regression model on new data?

5 / 10

If sensitivity is low and specificity high for a model, what should you do?

6 / 10

What metric calculates model accuracy penalizing false positives and negatives?

7 / 10

Collinearity between predictors leads to what issue in logistic regression?

8 / 10

Why might you prefer random forests to logistic regression?

9 / 10

What plot helps assess linearity in logistic regression?

10 / 10

What method handles new categories in test data missing from training?

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