15. The following output was obtained from a multiple regression analysls. Analysis of Variance Source DF SS MS Regression Residual Error 100 20 20 40 2 Total 25 140 Predictor Coefficient SE Coefficient t Constant 3.00 1.50 2.00 X1 4.00 3.00 1.33 X2 3.00 0.20 15.00 X3 0.20 0.05 4.00 X4 -2.50 1.00 -2.50 Xs 3.00 4.00 0.75 a. What is the sample size? b. Compute the value of R2. c. Compute the multiple standard error of estimate. d. Conduct a global test of hypothesis to determine whether any of the regression coefficlents are significant. Use the .05 significance level. e. Test the regresslon coefficients individually. Would you consider omitting any varl- able(s)? If so, which one(s)? Use the .05 significance level.

15. The following output was obtained from a multiple regression analysls. Analysis of Variance Source DF SS MS Regression Residual Error 100 20 20 40 2 Total 25 140 Predictor Coefficient SE Coefficient t Constant 3.00 1.50 2.00 X1 4.00 3.00 1.33 X2 3.00 0.20 15.00 X3 0.20 0.05 4.00 X4 -2.50 1.00 -2.50 Xs 3.00 4.00 0.75 a. What is the sample size? b. Compute the value of R2. c. Compute the multiple standard error of estimate. d. Conduct a global test of hypothesis to determine whether any of the regression coefficlents are significant. Use the .05 significance level. e. Test the regresslon coefficients individually. Would you consider omitting any varl- able(s)? If so, which one(s)? Use the .05 significance level.

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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