Question
The following data is representative of that reported in an article on nitrogen emissions, with x = burner area liberation rate (MBtu/hr-ft 2 ) and
The following data is representative of that reported in an article on nitrogen emissions, withx= burner area liberation rate (MBtu/hr-ft2) andy= NOxemission rate (ppm):
x | 100 | 125 | 125 | 150 | 150 | 200 | 200 | 250 | 250 | 300 | 300 | 350 | 400 | 400 |
y | 160 | 150 | 170 | 210 | 190 | 330 | 290 | 400 | 420 | 430 | 380 | 600 | 620 | 670 |
(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 NOxemission rate when burner area liberation rate equals200? (Round your answer to two decimal places.) ppm (c) Estimate the amount by which you expect NOxemission rate to change when burner area liberation rate is decreased by60. (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?Yes, the data is perfectly linear, thus lending to accurate predictions.Yes, this value is between two existing values. No, this value is too far away from the known values for useful extrapolation.No, the data near this point deviates from the overall regression model.
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