Multiple Choice Questions
Before completing the book’s Coder/Hacker chapter exercises, take this multiple-choice pre-test from the end of the chapter.
Next, visit the Coder and Hacker Chapter exercises page for more.
1: Which of the following is not an assumption for binary logistic regression?
- Normally distributed variables
- No multicollinearity
- Linearity
- Independence of observations
2: A significant odds ratio of 2.5 for BMI as a continuous predictor of heart disease in a binary logistic model would indicate which of the following?
- The odds of heart disease increase 2.5% for every 1-point increase in BMI.
- Those with heart disease have 2.5 times higher odds of having an increasing BMI compared to those without heart disease.
- The odds of heart disease are 2.5 times higher for every 1-point increase in BMI.
- There are 2.5 times as many people with heart disease as without among those with higher BMI.
3: A confidence interval indicates a significant odds ratio when
- it includes 1.
- it includes 0.
- it does not include 1.
- it does not include 0.
4: For a categorical predictor in a logistic regression model, what is the group that other groups are compared to called?
- Null group
- Independent group
- Standard group
- Reference group
5: Computing the percent correctly predicted by the model is one way to determine
- model fit.
- model significance.
- predictor significance.
- if assumptions are met.