What does the term "Multicollinearity" refer to in the context of Exploratory Data Analysis?
- A condition where the independent variables in a regression model are highly correlated
- A statistical method to determine the correlation between variables
- Correlation among three or more variables
- Correlation between two variables
Multicollinearity refers to a situation where two or more independent variables in a multiple regression model are highly correlated. If these variables are closely correlated, it can be hard for the model to determine the effect of each variable independently, which may lead to unstable estimates.
Loading...
Related Quiz
- You create a histogram of a dataset and notice that the frequency count is very high on the far right of the distribution but drops significantly after that. What can be inferred from this?
- What kind of bias might be introduced into a model if missing data is not appropriately addressed?
- When the outlier is a result of a data entry error, the best approach would often be ________.
- If a distribution is bimodal with two distinct peaks, there may be _____ distinct mode(s).
- You are analyzing a data set that includes the number of visitors to a website per day. How would you categorize this data type?