trying to fix figs + titles pt10

thesis.md

@@ -596,6 +596,9 @@ $logit(Y_j) = \beta_0 + \beta_1 \mathrm{FEMALE} + \beta_2 \mathrm{BLACK} + \beta
 In order to construct this additional binary logistic regression in R, the HISPAN variable was recoded to merge all of the Hispanic values together. This merged values was then recoded into a binary variable, taking in values of 0 (non-hispanic) or 1 (hispanic). The code snippets for the recoding of HISPAN, as well as the newly constructed regression are below.
 
 
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 **Hispanic Recoding**
 
@@ -653,6 +656,11 @@ The results of running the code for both regressions and subsequent odds ratios
 
 ![Odds Ratio 1](images/or1.jpg)
 
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 **Second Regression and Odds Ratio**
 
 ![Regression 2, with Hispanic ethnic subgroups merged together](images/reg2.jpg)