3. The heights of a stand of pine trees were measured along with the area under the cone formed by their branches. Height (m) Area (m3) 2.0 5.9 1.5 3.4 1.8 4.8 2.4 8.6 2.2 1.2 7.3 1.8 2.1 4.9 3.1 14.4 a) Create a scatter plot of these data. b) Determine the correlation coefficient and the equation of the line of best fit. c) Use a power regression to calculate a coefficient of determination and an equation for a curve of best fit. d) Which model do you think is more accurate? Explain why. e) Use the more accurate model to predict i) the area under a tree whose height is 2.7 m ii) the height of a tree whose area is 30 m f) Suggest a reason why the height and circumference of a tree might be related in the way that the model in part d) suggests.