3) The following two sets of Excel output use are from the same data set as described above, but the first set of output is for the set of 35 CEO’s that earn the lowest total compensation and the second set of output is for a set of 40 CEO’s that earn the highest total compensation.a) What is heteroscedasticity?b) Why is heteroscedasticity a problem? c) Based on a comparison of the two sets of output, does it appear that there is heteroscedasticity in the data set? Explain. 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 RegressionStatisticsMultiple RR SquareAdjusted R SquareStandard ErrorObservations0.4900.2400.23639811000ANOVAdfSSMSSignificance FRegressionResidual4963901656 99278033162.77.34E-5799415751087364 15846164Total99920714989020Coefficients Standard Errort StatP-valueLower 95% Upper 95%InterceptCEOANN-5390.1568.5-9.481.80E-20-6505.8-4274.42259.2328.16.881.03E-111615.22903.1EMPL17.33.74.624.26E-069.924.6MKTVAL944.830.131.393.89E-30885.81003.8EPSIN-171.849.4-3.480.00052-268.7-74.9YEAR DUM401.0253.11.580.113-95.6897.6

3) The following two sets of Excel output use are from the same data set as described above, but the first set of output is for the set of 35 CEO’s that earn the lowest total compensation and the second set of output is for a set of 40 CEO’s that earn the highest total compensation. a) What is heteroscedasticity? b) Why is heteroscedasticity a problem? c) Based on a comparison of the two sets of output, does it appear that there is heteroscedasticity in the data set? Explain.

3) The following two sets of Excel output use are from the same data set as described above, but the first set of output is for the set of 35 CEO’s that earn the lowest total compensation and the second set of output is for a set of 40 CEO’s that earn the highest total compensation. a) What is heteroscedasticity? b) Why is heteroscedasticity a problem? c) Based on a comparison of the two sets of output, does it appear that there is heteroscedasticity in the data set? Explain.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.6: Summarizing Categorical Data

Problem 27PPS

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