1. Investigate the following graph of GDP per Capita vs. Life Expectancy from Gapminder:

https://www.gapminder.org/tools/#$ui$chart$cursorMode=hand;;&model$markers$bubble$encoding$y$scale$zoomed@:55&:88;;;&x$scale$zoomed@:300&:130000;;;&color$data$concept=world_6region;&scale$type:null&domain:null&zoomed:null;;;;;;&chart-type=bubbles&url=v1Links to an external site.

2. The upper left portion and the lower right portion of the chart are almost empty. What does this mean in context?

3. Which region(s) appear to be the most densely grouped together? What does this mean? (there is a Key to how the regions are color coded in the Upper Right portion of the screen)

4. What factors might differentiate countries along the same vertical or horizontal axes (for example, along the vertical axis that separates level 3 from level 4, why might Russia have a much lower life expectancy than Chile?)

5. Locate the six countries from our in-class activity (Hong Kong, China, Switzerland, Canada, Mexico, Norway, or Italy, Portugal, UK, Australia, Brazil). Does their position on the chart reinforce or make you rethink your original conclusions? If so, how?

6. Play around with other variables on the y-axis. Can you find any other variables that share a strong linear association with GDP per Capita? Why does this make sense? Explain.

7. Play around with other variables on the x-axis. Can you find any other variables that share a strong linear association with Life Expectancy? Why does this make sense? Explain.

8. Change both axes. Which variables yield the strongest linear association that you can find? Why does this make sense? Explain.

Answer rating: 100% (QA)

The upper left portion and the lower right portion of the chart being almost empty indicate a positive correlation between GDP per Capita and Life Expectancy Countries with higher GDP per Capita tend ... View the full answer