For my paper I am going to analyze what male income can tell you about female income, and how they are correlated. I took data from the US census from the years 1953 to 2011. It is important to note that the income gap has decreased over the years. When I used male median income as my Y variable I then used female median income as my X1 variable. This shows us how male median income can help us predict what female median income will be. My R squared variable for this regression is .9823, this means that 98.23 percent of the variance in Y is explained by the variance in X. In other words one should be able to predict female income using male income. The coefficient for this regression is .6514587, this coefficient tells us that about .65 of male median income equals the median female income. One way I could have made this regression better was by using real income instead of nominal income because the data would have been more realistic using real income.