The following data is representative of that reported in an article on nitrogen

Question

The following data is representative of that reported in an article on nitrogen emissions, with xburner areabeaion rate (MBtu/hr-ft2) and yNox emission rate (ppm) x 100 125 125 150 150 200 200 250 250 300 300 350 400 400 y 150 150 190 210 180 330 290 390 430 440 390 600 610 670 (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 = 40.282523 + 1.6951 38x | v (b) What is the estimate of expected NOx emission rate when burner area liberation rate equals 215? (Round your answer to two decimal places.) 324.17 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.) .03 x 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. Yes, this value is between two existing values. 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 Talk to a Tutor

Explanation / Answer

from given equation slope of line =1.6951

threfore expected chane in Nox lvel when liberation rate is decreased by 50 =50*1.6951=84.76 ( please put negative sign if this does not work)

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