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MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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
Transcribed Image Text:5. Section 13.1
A study to assess the capability of subsurface flow wetland systems to remove biochemical oxygen demand,
denoted BOD, and various other chemical constituents resulted in the accompanying data on x = BOD mass
loading and y = BODMR mass removal:
3 8 10
11
13 16 27 30
47 8 8
10 11 16 26
1. Compute the quantities n, Σ x, y, Σx², Cy², Σxy
2. Compute the least squares line.
3. Compute SSE and estimate σ with this computation.
4. Computer² to determine what proportion of observed variation can be explained by the approximate
linear relationship between x and y.
6. Section 13.2
Given the data of question 5, conduct a hypothesis test of the null hypothesis Hoẞ = 0 at a significance
level of α = 0.05.
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