Analyzing data from a large sample of countries (over 100), we find a .96 correlation of male life expectancy and female life expectancy.

a) How would you interpret this? Is it surprising? Do you think it is a causal relationship?

Are the two variables based on data from the same individuals?

b) Draw the regression line that shows the slope (a rough graph suffices). Put male life expectancy on the X-axis.

c) Nepal is a case that lies below the regression line. What does this tell us about Nepal’s male and female life expectancy?

d) Optional: If you have access to the companion website and software, create the scatterplot with a regression line and the regression model.