← The amounts of a chemical compound y that dissolved in 100 grams of water at various temperatures x were recorded. The data were coded and recorded in the accompanying table. Use this information to answer parts a through c. Click here to view the table of chemical compounds. Click here for page 1 of the critical values of the t-distribution. Click here for page 2 of the critical values of the t-distribution. a) Evaluate s². s² = 11.26 (Round to two decimal places as needed.) b) Construct a 99% confidence interval for Bo-

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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K
The amounts of a chemical compound y that dissolved in 100 grams of water at various temperatures x were recorded. The data were coded and recorded in the accompanying table.
Use this information to answer parts a through c.
Click here to view the table of chemical compounds.
Click here for page 1 of the critical values of the t-distribution.
Click here for page 2 of the critical values of the t-distribution.
a) Evaluate s
s² = 11.26 (Round to two decimal places as needed.)
b) Construct a 99% confidence interval for Bo
<Bo< (Round to three decimal places as needed.)
Cot more hel
Chemical compound data
x (°C)
0
15
30
45
60
75
y (grams)
5
13
21
43
51
55
3 5
14
12
27 23
38 39
53 46
58
53
Print
fitted linear regression equation
y = 3.7460 +0.7283x
Done
Clear all
m
X
Transcribed Image Text:K The amounts of a chemical compound y that dissolved in 100 grams of water at various temperatures x were recorded. The data were coded and recorded in the accompanying table. Use this information to answer parts a through c. Click here to view the table of chemical compounds. Click here for page 1 of the critical values of the t-distribution. Click here for page 2 of the critical values of the t-distribution. a) Evaluate s s² = 11.26 (Round to two decimal places as needed.) b) Construct a 99% confidence interval for Bo <Bo< (Round to three decimal places as needed.) Cot more hel Chemical compound data x (°C) 0 15 30 45 60 75 y (grams) 5 13 21 43 51 55 3 5 14 12 27 23 38 39 53 46 58 53 Print fitted linear regression equation y = 3.7460 +0.7283x Done Clear all m X
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