(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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Compute for the necessary linear regressions based on the given data. (can use Excel or Minitab for this)

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:

(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.

 

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
Transcribed Image Text: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
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