The following data is representative of that reported in an article on nitrogen emissions, with x = burner area liberation rate(MBtu/hr-ft2) and y = NO emission rate (ppm):Xx 100 125 125 150 150 200 200 250 250 300 300 350 400 400y140 150 180 220 180 330 270 390 420 440 400 610 600 680USE SALT(a) Assuming that the simple linear regression model is valid, obtain the least squares estimate of the true regression line.(Round all numerical values to four decimal places.)y =(b) What is the estimate of expected NOx emission rate when burner area liberation rate equals 240? (Round your answerto two decimal places.)ppm(c) Estimate the amount by which you expect NO emission rate to change when burner area liberation rate is decreased by50. (Round your answer to two decimal places.)хppm(d) Would you use the estimated regression line to predict emission rate for a liberation rate of 500? Why or why not?O Yes, the data is perfectly linear, thus lending to accurate predictions.Yes, this value is between two existing values.O No, this value is too far away from the known values for useful extrapolation.O No, the data near this point deviates from the overall regression model.

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Answered: The following data is representative of…

College Algebra

7th Edition

ISBN:9781305115545

Author:James Stewart, Lothar Redlin, Saleem Watson

Publisher:James Stewart, Lothar Redlin, Saleem Watson

Chapter1: Equations And Graphs

Section: Chapter Questions

Problem 10P

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The following data is representative of that reported in an article on nitrogen emissions, with x = burner area liberation rate (MBtu/hr-ft?) and y = NO, emission rate (ppm): 100 125 125 150 150 200 200 250 250 300 300 350 400 400 140 130 170 220 200 320 290 390 430 440 400 590 600 660 IA USE SALT (a) Assuming that the simple linear regression model is valid, obtain the least squares estimate of the true regression line. (Round all numerical values to four decimal places.) (b) What is the estimate of expected NO emission rate when burner area liberation rate equals 250? (Round your answer to two decimal places.) ppm (c) Estimate the amount by which you expect NO, emission rate to change when burner area liberation rate is decreased by 50. (Round your answer to two decimal places.) ppm (d) Would you use the estimated regression line to predict emission rate for a liberation rate of 500? Why or why not? O Yes, the data is perfectly linear, thus lending to accurate predictions. O Yes,…
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The following data is representative of that reported in an article on nitrogen emissions, with x = burner area liberation rate (MBtu/hr-ft²) and y = NO emission rate (ppm): 100 125 125 150 150 200 200 250 250 300 300 350 400 400 y 160 140 170 210 200 310 280 410 440 450 400 590 620 670 USE SALT (a) Assuming that the simple linear regression model is valid, obtain the least squares estimate of the true regression line. (Round all numerical values to four decimal places.) y = (b) What is the estimate of expected NO emission rate when burner area liberation rate equals 205? (Round your answer to two decimal places.) ppm (c) Estimate the amount by which you expect NOx emission rate to change when burner area liberation rate is decreased by 50. (Round your answer to two decimal places.) ppm
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