In: Statistics and Probability
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 = NOx emission rate (ppm):
x | 100 | 125 | 125 | 150 | 150 | 200 | 200 | 250 | 250 | 300 | 300 | 350 | 400 | 400 |
y | 140 | 150 | 180 | 200 | 180 | 320 | 270 | 400 | 440 | 450 | 380 | 610 | 600 | 680 |
(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 245? (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