Q4An 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 is1.00) to be used for outdoor piping systems. Data are gathered as in Table Q4.Table Q4(a)(b)(c)Experimentno.123(d)45678910101010Given Σ 4 = 23801, Σ Β = 4.84, ΣΑΒ; = 237.4i=1i=1i=1Operating temperature (°C), A Derating Factor, B21273238434954606671Determine Sxx Syy, and Sxy.Determine the slope and intercept for the regression line using values calcriatedfrom Q4(a).Determine the estimated regression line equation.1.000.900.900.800.800.700.500.400.200.00Calculate the coefficient of Pearson correlation.

Given ∑110A2i=23801, ∑110Bi2=4.84, ∑110AiBi=237.4 Note: “Since you have posted a question with…

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.

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.

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

Problem 1QTC

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