The data file mobility.csv has information on 729 communities. The variable we want to predict is economic mobility; the rest are predictor variables or covariates.
- Mobility: The probability that a child born in 19801982 into the lowest quintile (20%) of household income will be in the top quintile at age 30.
- The solutions will say which. In the meanwhile, tracking it down would not actually help you very much.
- Technically, commuting zones. These include cities and their suburbs and exurbs, but also many rural areas with integrated economies.
- Individuals are assigned to the community they grew up in, not the one they were in as adults.
- Commute: Fraction of workers with a commute of less than 15 minutes.
- Longitude: Geographic coordinate for the center of the community
- Latitude: Ditto
- Name: the name of principal city or town.
- State: the state of the principal city or town of the community.
An important hypothesis for the researchers who gathered this data is that short commuting times lead to higher rates of social mobility. In this assignment, we will not be concerned with their explanation of how this might work, but just with whether there really is such a connection.