Annotating plots

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

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2. 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.

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3. 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).

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4. 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).

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5. 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.).

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