A recent study was done to assess factors that put Hispanic populations more at risk for obesity and related chronic diseases, such as diabetes and heart disease, than non-Hispanic populations. Data were collected on several factors, such as the crude morality rate of Hispanics, obesity prevalence, percent of adults diagnosed with diabetes, and median income at the state level. Pearson's Correlations were used to examine the strength of the relationship between obesity and the other variables, as a way of observing which characteristics were associated with high prevalence of obesity. In addition, a simple linear regression was used to model the relationship between diabetes and obesity. The results from SPSS are shown below. a. Predictors: (Constant), Percent Adults Diagnosed with Diabetes 2009. a. Predictors: (Constant), PercentAdults Diagnosed with Diabetes 2009. b. Dependent Variable: Obesity Prevalence Among Adults 2011. a. Dependent Variable: Obesity Prevalence Among Adults 2011. Correlations ** Correlation is significant at the 0.01 level (2-tailed). Pereent Adults Diagnosed whh Dloctes abeg Is simple linear regression an appropriate statistical procedure to use on these data to study the relationship between obesity and diabetes? a. No, the data should show a nonlinear pattern. b. Yes, the scatter plot shows a nonlinear relationship between obesity and diabetes. c. No, the relationship between obesity and diabetes is not strong enough. d. Yes, the scatter plot shows a linear relationship between obesity and diabetes