Chapter 12, Problem 74H

The following table shows data on average per capita coffee consumption and heart disease rate in a random sample of

10 countries.

Yearly coffee consumption in liters	2.5	3.9	2.9	2.4	2.9	0.8	9.1	2.7	0.8	0.7
Death from heart diseases	221	167	131	191	220	297	71	172	211	300

Table 12.25

a. Enter the data into your calculator and make a scatter plot.

b. Use your calculator’s regression function to find the equation of the least-squares regression line. Add this to your

scatter plot from part a.

c. Explain in words what the slope and y-intercept of the regression line tell us.

d. How well does the regression line fit the data? Explain your response.

e. Which point has the largest residual? Explain what the residual means in context. Is this point an outlier? An

influential point? Explain.

f. Do the data provide convincing evidence that there is a linear relationship between the amount of coffee consumed

and the heart disease death rate? Carry out an appropriate test at a significance level of 0.05 to help answer this

question.