(b) Compute a 95% CI for the expected change in emission rate associated with a 10 MBtu/hr-ft increase in liberation rate. (Round your answers to two decimal places.) 17.27 X 17.69 x) ppm .

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 91E
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PLEASE HELP WITH PART B) at the bottom, I keep getting incorrect. WILL THUMBS UP IF CORRECT.

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 140 130 170 210 200 320 290 400 420 440 390 610 620 670
(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.
State the appropriate null and alternative hypotheses.
| Ho: P₂ = 0
H₂: B₂ <0
Ho: P₁0
H₂: B₁ 0
| Ho: P₂ = 0
Hg: B₁ > 0
ⒸHg: B₁0
H₂: ₁0
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.)
18.04
t
P-value=0000
State the conclusion in the problem context.
Reject Ho. There is evidence that the model is useful.
O Fail to reject Ho. There is no evidence that the model is useful.
O Fail to reject Ho. There is evidence that the model is useful.
O Reject Ho. There is no evidence that the model is useful.
(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.)
17.27
X 17.69
1x) ppm
"
Transcribed Image Text: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 140 130 170 210 200 320 290 400 420 440 390 610 620 670 (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. State the appropriate null and alternative hypotheses. | Ho: P₂ = 0 H₂: B₂ <0 Ho: P₁0 H₂: B₁ 0 | Ho: P₂ = 0 Hg: B₁ > 0 ⒸHg: B₁0 H₂: ₁0 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.) 18.04 t P-value=0000 State the conclusion in the problem context. Reject Ho. There is evidence that the model is useful. O Fail to reject Ho. There is no evidence that the model is useful. O Fail to reject Ho. There is evidence that the model is useful. O Reject Ho. There is no evidence that the model is useful. (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.) 17.27 X 17.69 1x) ppm "
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