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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Microsoft Edge 3 https://elearn.squ.edu.om/mod/quiz/attempt.php?attempt3D1894461&cmid3890604&page=12 QU E-LEARNING SYSTEM (ACADEMIC) Business Statistics 1 || Spring21 Time left 1:46:05 Quiz Question 13 The total cost for a production process is $600 minus two times the number of units produced. The mean and variance of the number of produced are 200 and 20, respectively. So, the mean and variance of the total cost are ot yet swered arked out of a. 600, 200 Nu 1 Flag estion ОБ. 400, 180 O c. 1000, 560 O d. 200, 80 NEXT PAGE PREVIOUS PAGE
The output table below represents the results of the estimation of household expenditures (Y) and income (X) in thousand dollars. Considering the output table below, answer the following questions. Dependent Variable: Y Method: Least Squares Date: 12/28/16 Time: 15:29 Sample: 2000 2010 Included observations: 11 Variable Coefficient Std. Error t-Statistic Prob. C 0.229334 2.938536 0.078044 0.9395 X 0.354833 0.024783 14.31783 0.0000 R-squared 0.957944 Mean dependent var 37.45455 Adjusted R-squared 0.953271 S.D. dependent var 21.01125 S.E. of regression 4.541976 Akaike info criterion 6.027567 Sum squared resid 185.6659 Schwarz criterion 6.099911 Log likelihood -31.15162 Hannan-Quinn criter. 5.981964…
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The output table below represents the results of the estimation of household expenditures (Y) and income (X) in thousand dollars. Considering the output table below, answer the following questions. Dependent Variable: Y Method: Least Squares Date: 12/28/16 Time: 15:29 Sample: 2000 2010 Included observations: 11 Variable Coefficient Std. Error t-Statistic Prob. C 0.229334 2.938536 0.078044 0.9395 X 0.354833 0.024783 14.31783 0.0000 R-squared 0.957944 Mean dependent var 37.45455 Adjusted R-squared 0.953271 S.D. dependent var 21.01125 S.E. of regression 4.541976 Akaike info criterion 6.027567 Sum squared resid 185.6659 Schwarz criterion 6.099911 Log likelihood -31.15162 Hannan-Quinn criter. 5.981964…