The file 2013CarMPG.csv contains data for many makes and models of automobiles sold in the United States in 2013.

Here is the file in online form - https://docs.google.com/spreadsheets/d/1p2vClwMM-9K4wJZA3EVmFnCEzFSo4Sbvpj25WFAQXBo/edit?usp=sharing

Or here is a pastebin if you prefer not to use the other link https://pastebin.com/4Ef1Bect

1. The variables city_mpg and highway_mpggive the fuel efficiency of each vehicle in miles per gallon (mpg) for city and highway driving, respectively.
   1. Produce a scatterplot of highway_mpgversus city_mpg. Include the plot here. Does the plot suggest a relationship between the two variables?
   2. Calculate the value of Pearson's correlation for the data. Include the output and interpret the value of the correlation in terms of strength and direction
   3. Test whether the data is evidence of a significant correlation between the two variables. Include the output here. What are the hypotheses being tested? What is your conclusion?
   4. Perform a linear regression with highway_mpg as the response and city_mpg as the explanatory variable. Paste the output from summary() here