ing that interval. Finding a Prediction Interval. In Exercises 13-16, use the following paired data con- sisting of weights of large cars (pounds) and highway fuel consumption (mi/gal) from Data Set 35 "Car Data" in Appendix B. (These are the same data used in Exercises 9-12.) Let x represent the weight of the car and let y represent the corresponding highway fuel consumption. Use the given weight and the given confidence level to construct a prediction interval estimate of highway fuel consumption. Weight Highway 3608 3962 4253 4006 3754 3859 3874 4674 4321 4346 3891 3957 31 33 26 30 24 27 30 31 28 32 27 25 13. Cars Use x = 3500 pounds with a 95% confidence level. 14. Cars Use x = 4200 pounds with a 99% confidence level. nfidence level. 000
ing that interval. Finding a Prediction Interval. In Exercises 13-16, use the following paired data con- sisting of weights of large cars (pounds) and highway fuel consumption (mi/gal) from Data Set 35 "Car Data" in Appendix B. (These are the same data used in Exercises 9-12.) Let x represent the weight of the car and let y represent the corresponding highway fuel consumption. Use the given weight and the given confidence level to construct a prediction interval estimate of highway fuel consumption. Weight Highway 3608 3962 4253 4006 3754 3859 3874 4674 4321 4346 3891 3957 31 33 26 30 24 27 30 31 28 32 27 25 13. Cars Use x = 3500 pounds with a 95% confidence level. 14. Cars Use x = 4200 pounds with a 99% confidence level. nfidence level. 000
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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