1. The following data is representative of that reported in an article 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 | 170 | 210 | 180 | 330 | 280 | 410 | 430 | 450 | 390 | 600 | 600 | 660 |
(a) Does the simple linear regression model specify a useful relationship between the two rates? Use the appropriate test procedure to obtain information about the P-value, and then reach a conclusion at significance level 0.01.
Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to three decimal places.)
t | = | |
P-value | = |
(b) Compute a 95% CI for the expected change in emission rate associated with a 10 MBtu/hr-ft2 increase in liberation rate. (Round your answers to two decimal places.)
( _______ , ________ ) ppm
1. The following data is representative of that reported in an article with x = burner-area...
he 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 у! 160 130 170 200 200 310 270 410 430 430 400 600 600 660 (a) Assuming that the simple linear regression model is valid, obtain the least squares estimate of the true regression line. (Round all...
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 = NOx emission rate (ppm): x 100 125 125 150 150 200 200 250 250 300 300 350 400 400 y 160 130 190 220 180 310 290 410 420 450 400 610 600 680 in USE SALT (a) Assuming that the simple linear regression model is valid, obtain the least squares estimate of the true...
please answer part a with x - burner-area liberation rate (MBtu/hr-ft2) and y No, emission rate (ppm) x |100 125 125 150 150 200 200 250 250 300 300 350 400 400 y 150 140 180 210 190 320 280 400 430 440 390 600 610 670 The equation of the estimated regression line is y -45.55190539 +1.71143233x (a) Obtain SSE for the data from the defining formula SSE- (Round your answer to two decimal places.) -45.55 Compare to the...
The article "Uncertainty Estimation in Railway Track Life-Cycle Cost" presented the following data on time to repair (min) a rail break in the high rail on a curved track of a certain railway line. A normal probability plot of the data shows a reasonably linear pattern, so it is plausible that the population distribution of repair time is at least approximately standard deviation are 249.7 and 145.1, respectively. Is there compelling evidence for concluding that true average repair time exceeds...
The article "Uncertainty Estimation in Railway Track Life-Cycle Cost"† presented the following data on time to repair (min) a rail break in the high rail on a curved track of a certain railway line. 159 120 480 149 270 547 340 43 228 202 240 218 A normal probability plot of the data shows a reasonably linear pattern, so it is plausible that the population distribution of repair time is at least approximately normal. The sample mean and standard deviation are 249.7 and 145.1, respectively. (a) Is there compelling evidence for...
2. The article "Uncertainty Estimation in Railway Track Life-Cycle Cost"+ presented the following data on time to repair (min) a rail break in the high rail on a curved track of a certain railway line. 159 120 480 149 270 547 340 43 228 202 240 218 A normal probability plot of the data shows a reasonably linear pattern, so it is plausible that the population distribution of repair time is at least approximately normal. The sample mean and standard...
The article "Uncertainty Estimation in Railway Track Life-Cycle Cost"† presented the following data on time to repair (min) a rail break in the high rail on a curved track of a certain railway line. 159 120 480 149 270 547 340 43 228 202 240 218 A normal probability plot of the data shows a reasonably linear pattern, so it is plausible that the population distribution of repair time is at least approximately normal. The sample mean and standard deviation are 249.7 and 145.1, respectively. (a) Is there compelling evidence for...
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Q Search eBook Use the sample data below to test the hypotheses HP- H. Not all population proportions are the same Populations Response 150 150 100 150 104 where is the population proportion of yes responses for population Using a .05 level of cance a. Compute the sample proportion for each population. Round your answers to two decimal places P, 5 P, b. Use the multiple comparison procedure to determine which population proportions differ significantly. Use a 0.05 level of...
A force of 52 pounds acts on the pipe wrench shown in the figure below 18 in. (a) Find the magnitude of the moment about O by evaluating OA x FIl (O s 0 s 1809) Use a graphing utility to graph the resulting function of e 100 100 80 60 40 40 20 20 150 50 100 150 100 300 600 250 500 200 400 150 300 100 200 150 50100 50100 150 Round your answer to two decimal...