Dependent Variable: GFCF Method: Least Squares Date: 02/10/14 Time: 00:53 Sample: 1981 2012 Included observations: 32 Variable Coefficient Std. Error t-Statistic Prob. C 53826.76 75957.68 0.708641 0.4842 DOMDEBT 0.991086 0.046656 21.24254 0.0000 EXTDEBT 0.018121 0.040533 0.447074 0.6581 R-squared 0.939810 Mean dependent var 786278.2 S.D. dependent var Adjusted R-squared S.E. of regression Sum squared resid 0.935659 1210643. 307087.1 Akaike info criterion 28.19671 2.73E+12 Schwarz criterion 28.33412 Log likelihood Durbin-Watson stat -448.1474 F-statistic 226.4023 0.862668 Prob(F-statistic) 0.000000 Based on the regression output above, ß2 =?

Dependent Variable: GFCF Method: Least Squares Date: 02/10/14 Time: 00:53 Sample: 1981 2012 Included observations: 32 Variable Coefficient Std. Error t-Statistic Prob. C 53826.76 75957.68 0.708641 0.4842 DOMDEBT 0.991086 0.046656 21.24254 0.0000 EXTDEBT 0.018121 0.040533 0.447074 0.6581 R-squared 0.939810 Mean dependent var 786278.2 S.D. dependent var Adjusted R-squared S.E. of regression Sum squared resid 0.935659 1210643. 307087.1 Akaike info criterion 28.19671 2.73E+12 Schwarz criterion 28.33412 Log likelihood Durbin-Watson stat -448.1474 F-statistic 226.4023 0.862668 Prob(F-statistic) 0.000000 Based on the regression output above, ß2 =?

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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