Staff members of an oil refinery believe that the octane reading of a particular petrol depends on one of its raw materials. A sample of the related raw material (x) and octane number (y) was collected and the measurements below were found. El-1 x = 401.90 E-, x? = 23,126.35 El-1y = 644.00 E-1y² = 59,254.08 El-1 xi y = 36,966,83 i) Estimate and interpret a fitted linear regression model for the data collected. ii) Test the hypotheses Ho : B1 = 0 versus H, : B1 # 0 at a 10% level of significance. Include a p-value in your test. iii) Construct a 90% confidence interval for the estimated intercept of the linear regression model.

Staff members of an oil refinery believe that the octane reading of a particular petrol depends on one of its raw materials. A sample of the related raw material (x) and octane number (y) was collected and the measurements below were found. El-1 x = 401.90 E-, x? = 23,126.35 El-1y = 644.00 E-1y² = 59,254.08 El-1 xi y = 36,966,83 i) Estimate and interpret a fitted linear regression model for the data collected. ii) Test the hypotheses Ho : B1 = 0 versus H, : B1 # 0 at a 10% level of significance. Include a p-value in your test. iii) Construct a 90% confidence interval for the estimated intercept of the linear regression model.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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