Podcast
Questions and Answers
What type of variable is the outcome of interest in the examples provided?
What type of variable is the outcome of interest in the examples provided?
- Binary (correct)
- Ordinal
- Continuous
- Categorical
What distinguishes regression with a binary dependent variable from regression with a continuous dependent variable?
What distinguishes regression with a binary dependent variable from regression with a continuous dependent variable?
- The need for different estimation techniques (correct)
- The use of different types of predictors
- The presence of homoscedasticity in the residuals
- The requirement for larger sample sizes
What is the simplest model to use with binary dependent variables?
What is the simplest model to use with binary dependent variables?
- Logistic regression model
- ANOVA
- K-means clustering
- Linear probability model (correct)
Which act led to the compilation of the Boston HMDA data?
Which act led to the compilation of the Boston HMDA data?
What year do the mortgage applications in the Boston, Massachusetts, area data relate to?
What year do the mortgage applications in the Boston, Massachusetts, area data relate to?
Which type of data are the Boston HMDA data described as?
Which type of data are the Boston HMDA data described as?
What are the two most important disadvantages of the linear probability model?
What are the two most important disadvantages of the linear probability model?
What is the primary interest in a binary response model?
What is the primary interest in a binary response model?
In a binary response model, if x represents explanatory variables, what does y typically denote?
In a binary response model, if x represents explanatory variables, what does y typically denote?
How do more sophisticated binary response models overcome the limitations of the linear probability model?
How do more sophisticated binary response models overcome the limitations of the linear probability model?
Which set of explanatory variables might be included in x when analyzing employment status in a binary response model?
Which set of explanatory variables might be included in x when analyzing employment status in a binary response model?
