11-7. An article in the Tappi Journal (March 1986) presented data on green liquor Na₂S concentration (in grams per liter) 1 paper machine production (in tons per day). The data (read from a graph) follow: and y X y X 11246 42 40 49 825 830 890 895 46 43 915 960 44 890 990 TOMMY 53 52 54 57 58 990 1010 1012 1030 1050 48 910 (a) Fit a simple linear regression model with y = green liquor Na,S concentration and x = production. Find an estimate of o². Draw a scatter diagram of the data and the resulting least squares fitted model. (b) Find the fitted value of y corresponding to x =915 and the associated residual. (c) Find the mean green liquor Na,S concentration when the production rate is 960 tons per day.
11-7. An article in the Tappi Journal (March 1986) presented data on green liquor Na₂S concentration (in grams per liter) 1 paper machine production (in tons per day). The data (read from a graph) follow: and y X y X 11246 42 40 49 825 830 890 895 46 43 915 960 44 890 990 TOMMY 53 52 54 57 58 990 1010 1012 1030 1050 48 910 (a) Fit a simple linear regression model with y = green liquor Na,S concentration and x = production. Find an estimate of o². Draw a scatter diagram of the data and the resulting least squares fitted model. (b) Find the fitted value of y corresponding to x =915 and the associated residual. (c) Find the mean green liquor Na,S concentration when the production rate is 960 tons per day.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Problem 1P
Related questions
Question
![11-7. An article in the Tappi Journal (March 1986) presented
data on green liquor Na₂S concentration (in grams per liter)
and paper machine production (in tons per day). The data (read
from a graph) follow:
y 40
825
x
y
X
42
830
00.5
49
890
112,
46
[155]
895
LIA
46
43
915 960 990
53 52
44
890
48
910
54 57 58
1010 1012 1030 1050
(a) Fit a simple linear regression model with y = green liquor
Na,S concentration and x = production. Find an estimate
of o². Draw a scatter diagram of the data and the resulting
least squares fitted model.
(b) Find the fitted value of y corresponding to x = 915 and the
associated residual.
(c) Find the mean green liquor Na,S concentration when the
production rate is 960 tons per day.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F5029f30c-5b78-421a-a7f3-5d09d3721063%2F8044af79-5de1-40de-a4d0-984c54df0c00%2Fnsm9245_processed.jpeg&w=3840&q=75)
Transcribed Image Text:11-7. An article in the Tappi Journal (March 1986) presented
data on green liquor Na₂S concentration (in grams per liter)
and paper machine production (in tons per day). The data (read
from a graph) follow:
y 40
825
x
y
X
42
830
00.5
49
890
112,
46
[155]
895
LIA
46
43
915 960 990
53 52
44
890
48
910
54 57 58
1010 1012 1030 1050
(a) Fit a simple linear regression model with y = green liquor
Na,S concentration and x = production. Find an estimate
of o². Draw a scatter diagram of the data and the resulting
least squares fitted model.
(b) Find the fitted value of y corresponding to x = 915 and the
associated residual.
(c) Find the mean green liquor Na,S concentration when the
production rate is 960 tons per day.
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VIEWStep 3: Estimate the slope, intercept parameter and σ^2
VIEWStep 4: Draw a scatter plot with the least squares fitted line
VIEWStep 5: Find the fitted value of y corresponding to x=915 and the associated residual
VIEWStep 6: Find the mean green liquor Na₂S concentration when the production rate is 960 tons per day
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