(a) (b) Determine Sxx, Syy, and Sxy. Determine the slope and intercept for the regression line using values calculated from Q4(a). Determine the estimated regression line equation.

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter4: Eigenvalues And Eigenvectors
Section4.6: Applications And The Perron-frobenius Theorem
Problem 25EQ
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Q4
An engineer wants to investigate the effect of operating temperature to polyethylene (PE)
material reliability (in terms of Derating Factor, the higher the better, maximum value is
1.00) to be used for outdoor piping systems. Data are gathered as in Table Q4.
Table Q4
(a)
(b)
Experiment
no.
1
2
3
(c)
45
6
7
8
9
10
Operating temperature (°C), A Derating Factor, B
10
10
10
Given Σ 4 = 23801, Σ Β = 4.84, ΣΑΒ; = 237.4
i=1
i=1
i=1
21
27
32
38
43
49
54
60
66
71
Determine Sxx, Syy, and Sxy.
1.00
0.90
0.90
0.80
0.80
0.70
0.50
0.40
0.20
0.00
Determine the slope and intercept for the regression line using values calculated
from Q4(a).
Determine the estimated regression line equation.
Transcribed Image Text:Q4 An engineer wants to investigate the effect of operating temperature to polyethylene (PE) material reliability (in terms of Derating Factor, the higher the better, maximum value is 1.00) to be used for outdoor piping systems. Data are gathered as in Table Q4. Table Q4 (a) (b) Experiment no. 1 2 3 (c) 45 6 7 8 9 10 Operating temperature (°C), A Derating Factor, B 10 10 10 Given Σ 4 = 23801, Σ Β = 4.84, ΣΑΒ; = 237.4 i=1 i=1 i=1 21 27 32 38 43 49 54 60 66 71 Determine Sxx, Syy, and Sxy. 1.00 0.90 0.90 0.80 0.80 0.70 0.50 0.40 0.20 0.00 Determine the slope and intercept for the regression line using values calculated from Q4(a). Determine the estimated regression line equation.
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