Week five - Multiple Regression Flashcards
What does SSmodel represent?
The amount of error
What does R-squared represent ?
What is multiple regression?
How do you report regression stats?
When to use adjusted R-squared?
How is adjusted R-squared calculated?
Adjusted R-squared takes into account sample size.
When would you use semipartial and partial correlation?
What are the assumptions of multiple regression?
Independent error, aka uncorrelated residuals.
This needs to be addressed within the design, but can also be checked for using a Durbin-Watson stat.
What is the relationship between tolerance and VIF?
What does VIF stand for?
How is VIF calculated?
What does a high VIF represent? What does a low VIF stand for?
VIF is a measure of collinearity. High VIF indicates high collinearity between variables.
When to use Mahalanobis distance and Cook’s distance?
Mahalanobis distance measures whether a data point is an outlier.
Cook’s distance measures how much that data point is influencing a model.
