4. A study to assess the capability of subsurface flow wetland systems to remove biochemical oxygen demand (BOD) and various other chemical constituents resulted in the accompanying data on z = BOD mass loading (kg/ha/d) and y = BOD mass removal (kg/ha/d) ("Subsurface Flow Wetlands-A Performance Evaluation," Water Envir. Res., 1995: 244-247). AME ON 12 I Y 103 142 30 75 90 WN PAPER, THE 11 13 16 27 30 35 38 44 8 10 11 16 26 21 31 Any par n = 10; Σx = 459; Σx2 = 37553; Σy = 318; Σv = 17244; Σxy = 25344

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4. A study to assess the capability of subsurface flow wetland systems to remove
biochemical oxygen demand (BOD) and various other chemical constituents
resulted in the accompanying data on x = BOD mass loading (kg/ha/d) and y
= BOD mass removal (kg/ha/d) ("Subsurface Flow Wetlands-A Performance
Evaluation," Water Envir. Res., 1995: 244-247). ME ON THE PDF FILE
X
Y
11 13 16 27 30 35 38 44 103
8 10 11 16 26 21 31 30 75
142
90 WN PAPER, THE
Any page of behind
n = 10; Σ x = 459; Σx2 = 37553; Σy =
_y = 318; Σy = 17244; Σxy = 25344
Answer the following questions:
(a) Plot an appropriate graph for the data. you
(b) Obtain the best linear prediction equation.
(c) For every additional unit change in BOD mass loading, by how much does
the BOD mass removal change, on average?
(d) Give the value of the statistic that measures the linear association between
the BOD mass loading and BOD mass removal. Comment.
(e) What percent of variation in the BOD mass removal is explained by the
variation by the BOD mass loading?
(f) Predict the BOD mass removal, given that the BOD mass loading is 180
(kg/ha/d). Are you bothered or not by this prediction? Explain.
(g) What is your overall judgment about the linear fit? You may name two
appropriate criteria that may help you in answering this question.
(h) Is there anything in particular that bothers you about the data set?
Transcribed Image Text:4. A study to assess the capability of subsurface flow wetland systems to remove biochemical oxygen demand (BOD) and various other chemical constituents resulted in the accompanying data on x = BOD mass loading (kg/ha/d) and y = BOD mass removal (kg/ha/d) ("Subsurface Flow Wetlands-A Performance Evaluation," Water Envir. Res., 1995: 244-247). ME ON THE PDF FILE X Y 11 13 16 27 30 35 38 44 103 8 10 11 16 26 21 31 30 75 142 90 WN PAPER, THE Any page of behind n = 10; Σ x = 459; Σx2 = 37553; Σy = _y = 318; Σy = 17244; Σxy = 25344 Answer the following questions: (a) Plot an appropriate graph for the data. you (b) Obtain the best linear prediction equation. (c) For every additional unit change in BOD mass loading, by how much does the BOD mass removal change, on average? (d) Give the value of the statistic that measures the linear association between the BOD mass loading and BOD mass removal. Comment. (e) What percent of variation in the BOD mass removal is explained by the variation by the BOD mass loading? (f) Predict the BOD mass removal, given that the BOD mass loading is 180 (kg/ha/d). Are you bothered or not by this prediction? Explain. (g) What is your overall judgment about the linear fit? You may name two appropriate criteria that may help you in answering this question. (h) Is there anything in particular that bothers you about the data set?
(d) Give the value of the statistic that measures the linear association between
the BOD mass loading and BOD mass removal. Comment.
(e) What percent of variation in the BOD mass removal is explained by the
variation by the BOD mass loading?
(f) Predict the BOD mass removal, given that the BOD mass loading is 180
(kg/ha/d). Are you bothered or not by this prediction? Explain.
(g) What is your overall judgment about the linear fit? You may name two
appropriate criteria that may help you in answering this question.
(h) Is there anything in particular that bothers you about the data set?
5
Transcribed Image Text:(d) Give the value of the statistic that measures the linear association between the BOD mass loading and BOD mass removal. Comment. (e) What percent of variation in the BOD mass removal is explained by the variation by the BOD mass loading? (f) Predict the BOD mass removal, given that the BOD mass loading is 180 (kg/ha/d). Are you bothered or not by this prediction? Explain. (g) What is your overall judgment about the linear fit? You may name two appropriate criteria that may help you in answering this question. (h) Is there anything in particular that bothers you about the data set? 5
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