11.32 A chemist is interested in determining the weight loss y of a particular compound as a function of the amount of time the compound is exposed to the air. The data in the following table give the weight losses associated with n = 12 settings of the independent variable, exposure time. Weight Loss and Exposure Time Data Veight Loss, y (in pounds) Exposure Time Weight Loss, y Exposure Time (in hours) (in hours) (in pounds) 4.3 4 6.6 5.5 5 1.5 7 68 20
11.32 A chemist is interested in determining the weight loss y of a particular compound as a function of the amount of time the compound is exposed to the air. The data in the following table give the weight losses associated with n = 12 settings of the independent variable, exposure time. Weight Loss and Exposure Time Data Veight Loss, y (in pounds) Exposure Time Weight Loss, y Exposure Time (in hours) (in hours) (in pounds) 4.3 4 6.6 5.5 5 1.5 7 68 20
MATLAB: An Introduction with Applications
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Author:Amos Gilat
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![11.32 A chemist is interested in determining the weight loss y of a particular compound as a
function of the amount of time the compound is exposed to the air. The data in the following table
give the weight losses associated with n = 12 settings of the independent variable, exposure time.
Weight Loss and Exposure Time Data
Weight Loss, y
(in pounds)
Exposure Time
(in hours)
Weight Loss, y
(in pounds)
Exposure Time
(in hours)
4.3
4
6.6
5.5
5
7.5
7
6.8
6
2.0
4
8.0
7
4.0
5.7
6.5
4.0
4
6
5.2
7
a. Detemine the least-squares prediction equation for model
y = Bo + B1 + e
b. Test Ho: B1 = 0; give the p-value for Test Ho: B1 + 0](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F7c86724a-740c-42a1-8fe8-c412ca6066ca%2F7c1700f8-8f86-49ec-87bf-c66a3a52d025%2Frylvwgp_processed.png&w=3840&q=75)
Transcribed Image Text:11.32 A chemist is interested in determining the weight loss y of a particular compound as a
function of the amount of time the compound is exposed to the air. The data in the following table
give the weight losses associated with n = 12 settings of the independent variable, exposure time.
Weight Loss and Exposure Time Data
Weight Loss, y
(in pounds)
Exposure Time
(in hours)
Weight Loss, y
(in pounds)
Exposure Time
(in hours)
4.3
4
6.6
5.5
5
7.5
7
6.8
6
2.0
4
8.0
7
4.0
5.7
6.5
4.0
4
6
5.2
7
a. Detemine the least-squares prediction equation for model
y = Bo + B1 + e
b. Test Ho: B1 = 0; give the p-value for Test Ho: B1 + 0
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