This exercise analyzes GDP per capita and the ratio of exports to GDP in the year 2016, with data taken from the World Banks Development Indicators (as of 2/25/2019).

Just need the lines code for each question

(i) Download the gdp_trade.csv file from eCampus. Load it in R using the read.csv() function, and assign the data frame to an object named gdp.

(ii) Run a regression of gdp _capita on export _ratio and store the results in an object named ols gdp.

(iii) Use the summary() function to display the results of your regression. How do you

interpret the coefficient on export ratio? Reminder: export ratio measures the percent- age of GDP which comes from exported goods and services.

(iii) Does the zero conditional mean assumption hold here? Why or why not?