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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