41. Which of the following is the multiple regression model for the data?(a) y = -0.11050 + 2.10797x1 + 0.40717x2(b) y = -0.11050 + 0.40717x1 + 2.10797x2(c) y = 0.23563 + 0.00062x1 + 0.23626x2(d) none(e) y = -0.44187 + 2.42120x1 + 0.36135x2 An article in IEEE Transactions on Instrumentation and Measurement (2001, Vol. 50, pp. 2033-2040) reported on a study that had analyzed powdered mixtures of coal and limestone for permittivity. The eror in the density measurement was theresponse. The data are reported in Table below.DielectricDensityLoss FactorConstant(y)(x2)(x)0.7492.050.0160.7982.150.020.8492.250.0220.8772.30.0230.9292.40.0260.9632.470.0280.9972.540.0311.0462.640.0341.1332.850.0391.172.940.0421.2153.050.045Multiple Regression Output from EXCEL is shown below at alpha - 0.05SUMMARY OUTPUTRegression StatisticsMultiple R0.99868R Square0.99736Adjusted R Square0.99670Standard Error0.00883Observations11ANOVAdf2.MSSignificance FRegression0.23563464.877E-11Residual80.0006243Totl100.2362589Coefficients Standard Error-0.110500.40717t StatPvalue0.67028Lower 95%Upper 95%Lower 95.0% Upper 95.0%Intercept0.25007-0.44187-0.687160.019370.46616-0.687160.46616Dielectric Constant0.168172.421200.041770.7949715.560320.019370.79497Loss Factor2.107975.833620.361350.72720-11.34438-11.3443815.56032

Answered: Image /qna-images/answer/bd65742f-6854-447b-ab4d-b3033f0e5e1f.jpg

41. Which of the following is the multiple regression model for the data? (a) y = -0.11050 + 2.10797x1 + 0.40717x2 (b) y = -0.11050 + 0.40717x1 + 2.10797x2 (c) y = 0.23563 + 0.00062x1 + 0.23626x2 (d) none (e) y = -0.44187 + 2.42120x1 + 0.36135x2

41. Which of the following is the multiple regression model for the data? (a) y = -0.11050 + 2.10797x1 + 0.40717x2 (b) y = -0.11050 + 0.40717x1 + 2.10797x2 (c) y = 0.23563 + 0.00062x1 + 0.23626x2 (d) none (e) y = -0.44187 + 2.42120x1 + 0.36135x2

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Electromagnetic technologies offer effective nondestructive sensing techniques for determining characteristics of pavement. The propagation of electromagnetic waves through the material depends on its dielectric properties. The following data, kindly provided by the authors of the article "Dielectric Modeling of Asphalt Mixtures and Relationship with Density," was used to relate y = dielectric constant to x = air void (%) for 18 samples having 5% asphalt content. x 4.35 4.75 5.57 5.20 5.07 5.79 5.36 6.40 5.66 5.90 6.49 5.70 6.49 6.37 6.51 7.88 6.74 7.14 y 4.55 4.49 4.50 4.47 4.48 4.45 4.40 4.34 4.43 4.43 4.42 4.40 4.35 4.44 4.40 4.26 4.32 4.34 Suppose it had previously been believed that when air void increased by 1 percent, the associated true average change in dielectric constant would be less than -0.064. Does the sample data support this belief? Carry out a test of appropriate hypotheses using a significance level of 0.05. State the appropriate null and alternative…
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