Please answer questions D and E

To the right is a regression analysis of tar and nicotine content of cigarettes. Dependent variable is: Nicotine R~Squared = 87.4% Use the information to answer parts a through e below. 5 = 0 105 Variable Coefcient Intercept 0.045 Tar 0.191 O A. For each additional milligram of tar, the model predicts a decrease of b1 milligrams of nicotine. B. For each additional milligram of tar, the model predicts an increase of b1 milligrams of nicotine. O C. For each additional milligram of nicotine, the model predicts a decrease of b1 milligrams of tar. d) What does the intercept mean? 0 A. The model predicts that a cigarette with no nicotine would have on milligrams of tar. O B. The model predicts that a tar-free cigarette would have b0 milligrams of nicotine. O c. The model predicts that a tar-free cigarette would have b1 milligrams of nicotine. O D. The model predicts that a cigarette with no nicotine would have b1 milligrams of tar e) If a new brand of cigarette contains 6.17 milligrams of tar and a nicotine level whose residual is - 0.09 mg, what is the nicotine content? These cigarettes have a nicotine content of milligrams. (Round to three decimal places as needed.)