The table shows the weights and prices of some turkeys at different supermarkets.

a. Make a scatterplot with weight on the x-axis and cost on the y-axis. Include the regression line on your scatterplot.

b. Find the numerical value for the correlation between weight and price. Explain what the sign of the correlation shows.

c. Report the equation of the best-fit straight line, using weight as the predictor (x) and cost as the response (y).

d. Report the slope and intercept of the regression line, and explain what they show. If the intercept is not appropriate to report, explain why.

e. Add a new point to your data: a 30-pound turkey that is free. Give the new value for r and the new regression equation. Explain what the negative correlation implies. What happened?

Weight (pounds) Price

12.3 ...........$17.10

18.5 ...........$23.87

20.1 ...........$26.73

16.7 ...........$19.87

15.6 ...........$23.24

10.2 ...........$ 9.08