*Based on the regression results, answer the following questions*A sample of data is collected (from 1999 and 2000) concerning the compensation of the executives (compensation is measured in 1000’s of $’s) of a number of public companies along with other firm-specific data. The dependent variable is total compensation, CEOANN is a dummy variable =1 for an individual who is a CEO and =0 for individuals who are not CEOs, EMPL is total employees, MKTVAL is the natural logarithm of the market value of the firm, EPSIN is earnings per share, YEAR is a dummy variable = 1 for the year 2000 and =0 for the year 1999, and ASSETS is the natural logarithm of the total assets of the company. Based on the regression results, answer the following questions h) Is there a significant amount of evidence (say at the 10% level of significance) that CEO’s make at least $2 million more than non-CEO’s? i) Suppose you’re not sure if all the variables above should be included in the regression. First of all, do you think all the variables above SHOULD be included in the regression? If your answer is NO, then how would you go above deciding which ones to eliminate? 1) A sample of data is collected (from 1999 and 2000) concerning the compensation ofthe executives (compensation is measured in 1000's of $'s) of a number of publiccompanies along with other firm-specific data. The dependent variable is totalcompensation, CEOANN is a dummy variable =1 for an individual who is a CEO and=0 for individuals who are not CEO's, EMPL is total employees, MKTVAL is thenatural logarithm of the market value of the firm, EPSIN is earnings per share, YEARis a dummy variable = 1 for the year 2000 and =0 for year 1999, and ASSETS is thenatural logarithm of the total assets of the company.a) Complete the table belowRegressionStatisticsMultiple RR SquareAdjusted R SquareStandard ErrorObservations4901000ANOVAdfSSMSSignificance F4.3E-56RegressionResidual4975177517 82919625252.215739811503 15850767TotalLower 95% Upper 95%-4382.4t StatP-valueCoefficients Standard Error634.83.45E-181.15E-113.11E-051.18E-16-5628.1-8.87-6873.8InterceptCEOANNEMPLМKTVALEPSIN2254.2328.21610.02898.316.33.94.18680.81093.88.43-3.54887.3105.249.60.00042-272.7-78.2-175.50.14-123.1876.7376.8254.7YEAR DUMASSETS0.840.40-124.1311.293.5110.9

Answered: Regression Statistics Multiple R R…

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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*Based on the regression results, answer the following questions* A sample of data is collected (from 1999 and 2000) concerning the compensation of the executives (compensation is measured in 1000’s of $’s) of a number of public companies along with other firm-specific data. The dependent variable is total compensation, CEOANN is a dummy variable =1 for an individual who is a CEO and =0 for individuals who are not CEOs, EMPL is total employees, MKTVAL is the natural logarithm of the market value of the firm, EPSIN is earnings per share, YEAR is a dummy variable = 1 for the year 2000 and =0 for the year 1999, and ASSETS is the natural logarithm of the total assets of the company. Based on the regression results, answer the following questions h) Is there a significant amount of evidence (say at the 10% level of significance) that CEO’s make at least $2 million more than non-CEO’s? i) Suppose you’re not sure if all the variables above should be included in the regression. First of all, do you think all the variables above SHOULD be included in the regression? If your answer is NO, then how would you go above deciding which ones to eliminate?