1. Using the appropriate multivariable regression models, report the adjustedRRs and RDs with 95% CIs for the relationship between race/ethnicity (again in four categories) and unplanned hospitalizations among those with multiple chronic conditions. In separate models, adjust for the following variable or set of variables. Present your results in tables, with interpretive summary text below it. In the text, report your results and preliminary conclusions about confounding, but do not repeat the quantitative estimates shown in tables.

1. Sex
2. Age (continuous)
3. Sex + Age (continuous)

Table 4: Crude and Adjusted (for Sex and Age Group) Relative Risks for the Association between Race/Ethnicity and Unplanned Hospitalizations in 2009among Medicare Beneficiaries (65+) with Multiple Chronic Conditions
Race/Ethnicity	Crude RR (95% CI)	Sex-adjusted RR (95% CI)	Age-adjusted RR (95% CI)	Sex and Age-adjusted RR (95% CI)
Black, non-Hispanic
Hispanic
Other
White, non-Hispanic	Ref	Ref	Ref
Confounder?	--