- Using the
`mpg`

data, create a scatterplot of highway and city fuel efficiencies. Create a title, subtitle, caption, and axes labels.

- Repeat #1 adding a linear regression line. Use
`cor()`

to calculate the correlation coefficient for the correlation. Add it to the plot somewhere labeled and rounded to two decimals.

- Repeat #1. Find the manufacturer and model of the data point with the highest city fuel efficiency. Label this point by drawing a line from the point to the text label and include the manufacturer and model (broken across two lines).

- Repeat #1 drawing
*grey* horizontal and vertical lines at 20 mpg for both axes underneath the data points. Add a *lightpink* rectangle under the points filling the upper right quandrant (>20 for both axes).

- Create boxplots of fuel efficiency by class but order the class levels by mean highway fuel efficiency. At y = 10, add the sample size for each box (e.g., N=5, N=47, etc.).