1) Introduction (0.5 - 1 page)

2) Solution (2 - 3 pages)

3) Code listing (1 - 2 pages)

Remember your report should be for an intelligent but not very technical audience (like a business specialist in your organization).

# use the tidyverse library library(tidyverse)

# create a dataframe out of tidyverse's mpg data datampg <- mpg

# create vectors to access various variables x_displ <- datampg$displ y_cty <- datampg$cty z_year <- datampg$year

# question 1: what are the mean, median and first & third quartiles for # each of these variables?

# question 2: are displacement and fuel economy correlated? Please # provide a quantitative answer

# question 3: are engines getting smaller each year? How can you show # the relationship between engine size and model year?

# question 4: is manual transmission more fuel efficient than automatic # transmission?

# question 5: which manufacturer makes the most fuel efficient cars?