(a) use a graphing utility to create a scatter plot of the data, (b) determine whether the data could be better modeled by a linear model or a quadratic model, (c) use the regression feature of the graphing utility to find a model for the data, (d) use the graphing utility to graph the model with the scatter plot from part (a), and (e) create a table comparing the original data with the data given by the model.
$$\begin{array}{l}
(1,4.0),(2,6.5),(3,8.8),(4,10.6),(5,13.9),(6,15.0), \\
(7,17.5),(8,20.1),(9,24.0),(10,27,1)
\end{array}$$