2. 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) are shown as follows: y 40 42 49 46 44 48 825 830 890 895 890 910 y 46 43 53 52 54 57 58 915 960 990 1010 1012 1030 1050 (a) Fit a simple linear regression model with y green liquor Na2S concentration and x production. Draw a scatter diagram of the data and the resulting least squares fitted model. (b) Find the fitted value of y corresponding to x = 910 and the associated residual.

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2. 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) are shown as follows:
y
40
42
49
46
44
48
825
830
890
895
890
910
y
46
43
53
52
54
57
58
915
960
990
1010
1012
1030
1050
(a) Fit a simple linear regression model with y green liquor Na2S concentration and x production. Draw a scatter diagram of the
data and the resulting least squares fitted model.
(b) Find the fitted value of y corresponding to x = 910 and the associated residual.
Transcribed Image Text:2. 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) are shown as follows: y 40 42 49 46 44 48 825 830 890 895 890 910 y 46 43 53 52 54 57 58 915 960 990 1010 1012 1030 1050 (a) Fit a simple linear regression model with y green liquor Na2S concentration and x production. Draw a scatter diagram of the data and the resulting least squares fitted model. (b) Find the fitted value of y corresponding to x = 910 and the associated residual.
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