Section 2.1 Objectives
By the end of this section, an engaged learner will be able to:
 understand the impact of student demographics, type of institution, and time on student loan debt.

perform exploratory data analysis on a numerical variable (college tuition, student loan debt) as a function of a numerical (year) or categorical (institution type, student demographics) variable.
 create line charts of student loan data over time.
 create scatterplots of student loan debt versus college graduation rates.
 create bar charts of the average student loan debt owed by various demographic groups.
 compute summary statistics to describe each of the above.
 use linear regression and correlation to judge trends in numerical data on tuition and student loan debt as a function of time and predict future outcomes.
 use a chisquared test for independence to analyze the impact of student demographics (race, gender, and others) on student loan debt load.
 understand how data analysis can contribute to understanding the impact of student loan debt and government policy on student loans.