Refer to Data Set 13 “Cigarette Contents” in Appendix B and use the tar, nicotine, and CO amounts for the cigarettes that are 100 mm long, filtered, nonmenthol, and nonlight (the last set of measurements). Find the best regression equation for predicting the amount of nicotine in a cigarette. Why is it best? Is the best regression equation a good regression equation for predicting the nicotine content? Why or why not?

Refer to the indicated data set in Appendix B and use technology to obtain results.

Data Set 13: Cigarette Contents 

Data are from 75 cigarettes (first five rows shown here) from three categories: KING includes king-sized cigarettes that are nonfiltered, nonmenthol, and nonlight; MENTH includes menthol cigarettes that are 100 mm long, filtered, and nonlight; and 100 includes 100-mm-long cigarettes that are filtered, nonmenthol, and nonlight. TAR is the amount of tar per cigarette (milligrams), NICOTINE is the amount of nicotine per cigarette (milligrams), and CO is the amount of carbon monoxide per cigarette (milligrams). Data are from the Federal Trade Commission.