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 4 5 (c) 6 7 8 9 10 10 10 10 Given Σ A = 23801, Σ Β = 4.84, ΣΑΒ = 237.4 = i=1 Operating temperature (°C), A Derating Factor, B 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 calcriated from Q4(a). Determine the estimated regression line equation.

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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)
(c)
Experiment
no.
1
2
3
(d)
45
6
7
8
9
10
10
10
10
Given Σ 4 = 23801, Σ Β = 4.84, ΣΑΒ; = 237.4
i=1
i=1
i=1
Operating temperature (°C), A Derating Factor, B
21
27
32
38
43
49
54
60
66
71
Determine Sxx Syy, and Sxy.
Determine the slope and intercept for the regression line using values calcriated
from Q4(a).
Determine the estimated regression line equation.
1.00
0.90
0.90
0.80
0.80
0.70
0.50
0.40
0.20
0.00
Calculate the coefficient of Pearson correlation.
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) (c) Experiment no. 1 2 3 (d) 45 6 7 8 9 10 10 10 10 Given Σ 4 = 23801, Σ Β = 4.84, ΣΑΒ; = 237.4 i=1 i=1 i=1 Operating temperature (°C), A Derating Factor, B 21 27 32 38 43 49 54 60 66 71 Determine Sxx Syy, and Sxy. Determine the slope and intercept for the regression line using values calcriated from Q4(a). Determine the estimated regression line equation. 1.00 0.90 0.90 0.80 0.80 0.70 0.50 0.40 0.20 0.00 Calculate the coefficient of Pearson correlation.
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