Use gretl and the "Country Data" dataset to answer the following questions. Create a new variable named "urbanized" that equals 1 if more than 50% of a country's population lives in an urban area and equals 0 otherwise. 1. Estimate a linear probability model where the dependent variable is urbanized (the one you just created) and the predictor variables are GDP per capita and a dummy variable for whether the country is developing (Note: the variable "develop" equals 1 when a country is developing). a) Interpret the estimated coefficients. b) Predict the probability that a country is urbanized if it has GDP per capita of $3,000 and is developing