(a) use a graphing utility to create a scatter plot of the data,
(b) decide whether the data could best be modeled by a linear model, an exponential model, or a logarithmic model,
(c) explain why you chose the model you did in part (b),
(d) use the regression feature of the graphing utility to find the model you chose in part (b) for the data and graph the model with the scatter plot, and
(e) determine how well the model you chose fits the data.
1. (1, 2.0), (1.5, 3.5), (2, 4.0), (4, 5.8), (6, 7.0), (8, 7.8)
2. (1, 4.4), (1.5, 4.7), (2, 5.5), (4, 9.9), (6, 18.1), (8, 33.0)