This assignment involves working with the Gapminder World website:

http://www.gapminder.org/tools/(Links to an external site.)

You must use the Gapminder World graphical interface to plot three different graphs of development data, analyze them . During the tutorials the TA's will help youFor each graph:

• make sure that you know the precise meaning of the plotted variables (no need to write it down)
• outline the major pattern (e.g., positive, negative, or no association between the plotted variables, etc.) you see:
  1. in the scatterplot across countries
  2. in the variables' change over time (if applicable)
  3. you may also choose to comment on a particular country or group of countries which you believe deserve special attention or something else on the plot that you find striking or interesting
• State briefly what you think is the causal relationship between the variables. Which one is causing which? Are they cause by another variable?
• could you offer a forecast (with brief argumentation) of how you would expect the graph to look 20 years from now?

Instructions: The exact variable names from the Gapminder website are given below. Put the first stated variable on the vertical axis and the second variable (after the \vs.") on the horizontal axis. To see the joint change over time in the plotted variables over time use the slider below the graph (or, the \Play" button) as shown in tutorials.

Graph 1. Babies per woman vs. Income per person (GDP/capita, PPP$ inflation adjusted) for 1810-2015.

Graph 2. . Life expectancy vs Income per person (GDP/capita, PPP$ inflation adjusted).

Graph 3. Age at first marriage vs Income per capita (see Facts page for a link to this graph on Gapminder) .