Consider a study investigating the relationship between poverty and male life expectancy. Based on the observations in the table below, assume that you have already calculated the regression line to be: y = -0.1824242x + 85.33

Poverty Rank (x) Male Life Expectancy (y)

10 83

20 82

30 80

40 78

50 76

60 75

70 72

80 71

90 70

100 66

a. [4 Points] Use the regression line to calculate the 10 residuals for the observations. What do the residuals add to? Does this make sense? b. [4 Points] Draw a residual plot. What does this plot tell us about the relationship between our two variables? c. [2 Points] What is an influential observation? Do you think this dataset contains any