Residual, leverage, influence, 2 For each of the following cases, would your primary concern about them be that they had a large residual, large leverage, or likely large influence on the regression model?

1. In a regression to predict freshman grade point averages as part of the admissions process, a student whose Math SAT was 750, whose Verbal SAT was 585, and who had a 4.0 GPA at the end of her freshman year.

2. In a regression to predict life expectancy in countries of the world from generally available demographic, economic, and health statistics, a country that, due to a high prevalence of HIV, has an unusually low life expectancy.