Solution Found!
Answer: Appendix B Data Sets.Refer to the indicated data
Chapter 10, Problem 13BSC(choose chapter or problem)
Problem 13 BSC
Appendix B Data Sets.Refer to the indicated data set in Appendix B.
Predicting Nicotine in CigarettesRefer to Data Set 10 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?
Questions & Answers
QUESTION:
Problem 13 BSC
Appendix B Data Sets.Refer to the indicated data set in Appendix B.
Predicting Nicotine in CigarettesRefer to Data Set 10 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?
ANSWER:
Answer :
Step 1 of 1 :
Given predicting Nicotine in Cigarettes Refer to Data Set 10 in Appendix B and use the tar, nicotine, and CO amounts for the cigarettes that are 100mm long, filtered, non menthol, and non light (the last set of measurements).
We have to find the best regression equation for predicting the amount of nicotine in a cigarette.
We have to follow the step by step.
1) We have to enter the data in excel.
2) Click to the data analysis.
3) Click regression then ok.
4) In y range select distance and select redshift in x range.
5) Select output range then ok.
Predictor |
Co - eff |
SE Co - eff |
T |
P |
Constant |
0.08000 |
0.06611 |
1.21 |
0.239 |
100 Tar |
0.063333 |
0.004832 |
13.11 |
0.000 |
S =0.0869783 |
R-sq = 88.2 % |
R-Sq(adj) =87.7% |