When applying regression imputation, what factors need to be taken into consideration?
- Both dependent and independent variables
- None of the variables
- Only the dependent variable
- Only the independent variables
When applying regression imputation, both dependent and independent variables need to be taken into consideration. A regression model is built using the complete cases and then this model is used to predict the missing values in the incomplete cases. Therefore, it is important to carefully consider which variables to include in the regression model.
Loading...
Related Quiz
- You're visualizing a bivariate data set using a scatter plot and notice an isolated group of points far from the main concentration of data. How would you categorize these points?
- How are outliers usually represented in a boxplot?
- You are given a task to represent a complex data set in a visually appealing and easy to understand format for non-technical stakeholders. How would you approach this task?
- What is the importance of understanding data distributions in Exploratory Data Analysis?
- What is the first step in the Exploratory Data Analysis process?