Part 2: Smoothing splines Smoothing splines can be used to fit a smooth line to data that exhibit nonlinear behavior. Analysts can control the smoothing splines by specifying the number of knots, the degrees of freedom, and other parameters within the spline specification. For this part of the assignment, you will need the \"splines\" library and will be using the \"diamonds\" dataset used in Part 1. 1. Load the \"splines\" library into your R environment. 2. Run the following line of code in R. Include the output as part of your assignment submission. What is the line of code doing? As part of your answer, be sure to describe what relationship is being plotted. g {- ggplot(diamonds, aes(x=carat, y=price)) + geom_point()