Hi I need help with this two part question

Remaining Time: 1 hour, 33 minutes, 49 seconds. * Question Completion Status: QUESTION 6 6. One state in my sample (Alabama) had an overweight rate of 70% and a diabetes rate of 10.1%. What is the predicted diabetes rate and the residual for Alabama? Oa. y-hat = 10.1% Residual = 0.94% Ob. y-hat = 70% Residual = 9.16% Oc. y-hat = 8.42% Residual = 1.96% Od. y-hat = 10.1% Residual = 9.16% Oe. y-hat = 9.16% Residual = 0.94% QUESTION 7 7. What do the residual plot and the R-sq value tell you about the linear model that was created for this data? Oa. The linear trend in the Residual plot indicates that the linear model was a correct model for the data and the R-Sq value supports that claim. The linear trend in the Residual plot indicates that the linear model was a correct model for the data; however, overweight rates are not good predictors of diabetes rates. The lack of pattern in the Residual plot indicates that the linear model was an incorrect model for the data and the R-Sq value tells us that overweight rates are Oc. not good predictors of diabetes rates. The lack of pattern in the Residual plot indicates that the linear model was a correct model for the data; however, overweight rates are not good predictors of diabetes rates. The lack of pattern in the Residual plot indicates that the linear model was a correct model for the data and the R-Sq value indicates a strong predictive relationship between x and y. Click Save and Submit to save and submit. Click Save All Answers to save all answers. Save All Answers