Residual, leverage, influence 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? Explain your thinking.

1. In a regression to predict the construction cost of roller coasters from the length of track, the height of the highest point, and the type of construction (metal or wood), the Kingda Ka coaster, which opened in 2005 and, at 456 ft, is currently the tallest.

2. In a regression to predict income of graduates of a college five years after graduation, a graduate who created a high-tech start-up company based on his senior thesis, and sold it for several million dollars.