Editing Statistics and Statistical Programming (Winter 2021)/Problem set 5 (section)

===SQ1. Interpret bivariate analyses===

Return to the dataset you imported and worked with in the programming challenges above. Imagine that it comes from a year-long study of bicyclists using a combination of survey and ride-tracking data from Seattle JUMP bikeshare users conducted a few years ago (let's say 2018, just to pick a year). Each row in the data corresponds to a single cyclist/member and the variables correspond to the following measures: 
* <code>x</code>: Average daily distance cycled (in miles) measured via bicycle dock check-in/check-out data.   
* <code>j</code>: An indicator (True/False) of whether any rides were recorded between January and March.
* <code>l</code>: An indicator (True/False) of whether the cyclist also uses vehicle rideshare provided by Uber (the company that owns JUMP).
* <code>k</code>: A measure of how frequently the cyclist rode in bad weather, with bad weather defined using a standard measure provided by the U.S. NOAA (National Oceanic and Atmospheric Administration) and the categories (none, some, a lot, all) defined in terms of empirical quartiles within the dataset.
* <code>y</code>: A continuous measure of income calculated in tens of thousands of dollars and scaled so that "0" = average income for a JUMP user (i.e., a value of "5" = $50,000 more per year than an average JUMP user).

# Return to the conditional means you created in PC6 above. Given the information you now have about the study, how would you interpret them? Does there seem to be any sort of relationship between the two variables?
# Return to the bivariate contingency table you created in PC7 above. Given the information you now have about the study, how would you interpret it? Does there seem to be any sort of relationship between the two variables?
# Return to the scatterplot you created in PC8 above. Given the information you now have about the study, how would you interpret it? Does there seem to be any sort of relationship between the two variables?