s) Use the Durbin-Watson test to test, at 5% level of significance, for thepresence of significant linear correlation among error terms in the followingcases:a) Given that the sample size is n=20, the Durbin Watson (DW) statistic 0.62, whenthe regression model is of the form E(Y) = Bo + B,Xb) Given that the sample size is #=35, the Durbin Watson (DW) statistic = 1.82, whenthe regression model is of the form E(Y) = Bo + B,X, + B,X2.c) Given that the sample size is n-40, the Durbin Watson (DW) statistic =2.78, whenthe regression model is of the form E(Y) = Bo + BzX, + B2X2 + B,X3 +B,X4Table Criical value for the Durbin-Watson d Statistic (a = 05)

Null Hypothesis: H0: There is no significant linear correlation among the error terms. Alternative…

Use the Durbin-Watson test to test, at 5% level of significance, for the presence of significant linear correlation among error terms in the following cases: Given that the sample size is n=20, the Durbin Watson (DW) statistic = 0.62, when the regression model is of the form E(Y) = Bo + B1X %3D Given that the sample size is n=35, the Durbin Watson (DW) statistic 1.82, when the regression model is of the form E(Y) = Bo + B,X, + B2X2 %3D Given that the sample size is n=40, the Durbin Watson (DW) statistic 2.78, when the regression model is of the form E(Y) = Bo + B,X1 + B2X2 + B3X3+ B4X4 %3D

Use the Durbin-Watson test to test, at 5% level of significance, for the presence of significant linear correlation among error terms in the following cases: Given that the sample size is n=20, the Durbin Watson (DW) statistic = 0.62, when the regression model is of the form E(Y) = Bo + B1X %3D Given that the sample size is n=35, the Durbin Watson (DW) statistic 1.82, when the regression model is of the form E(Y) = Bo + B,X, + B2X2 %3D Given that the sample size is n=40, the Durbin Watson (DW) statistic 2.78, when the regression model is of the form E(Y) = Bo + B,X1 + B2X2 + B3X3+ B4X4 %3D

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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