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.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 32PPS
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 2: Calculated some required terms
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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