Please explain q11 and q12

Prediction for Audit% Variable Setting Income ($1000) 37.6 Fit SE Fit 95% CI 95% PI 0.983 0.0830100 (0.809, 1.158) (0.511, 1.455) 10. For the year in question, Indianapolis, which was not one of the cities in the dataset, A. B. C. had a median household income of $37,600. Above are audit percentage predictions made using this value. Assuming these predictions are valid, based on this model, which of the statements below is/are true: 1. Indianapolis had an audit percentage of 0.983%. II. A city with a median household income of $3 7,600 is expected by this model to have an audit percentage of 0.983%. III. For all cities with median household income of $3 7,600, we are 95% condent that their average audit percentage is between 0.809% and 1.158%. IV. We are 95 % condent that the actual audit percentage for Indianapolis is between 0.511% and 1.455%. " httpflfh'iafim I and IV only. I, II, and III only. II and III only. D. II, III, and IV only. E. 11. A. B. 12. A. B. I, II, III, and IV. TRUE or FALSE: Suppose the actual audit percentage for Indianapolis was 0.477%. Since this number is not in the prediction interval, this would mean that the normal linear model assumptions for this regression are not sound. TRUE FALSE Another variable recorded in this study was percent of the city's voters registered for the party of the US President (PresParty%). TRUE or FALSE: Since the correlation between Audit% and Income is positive (0.466), the slope of Income in the multiple regression model, Audit% vs. Income and PresParty%, using this data must be positive. TRUE FALSE