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Dep. Variable: Model: Method: Date: Time: No. Observations: Df Residuals: Df Model: Covariance Type: Intercept roe lsales finance Omnibus: Prob (Omnibus): Skew: Kurtosis: lsalary. OLS
Dep. Variable: Model: Method: Date: Time: No. Observations: Df Residuals: Df Model: Covariance Type: Intercept roe lsales finance Omnibus: Prob (Omnibus): Skew: Kurtosis: lsalary. OLS Least Squares Wed, 23 Nov 2022 08:56:37 coef 4.3058 0.0194 0.2738 0.1827 nonrobust std err 209 205 3 0.292 0.004 0.033 0.081 R-squared: Adj. R-squared: F-statistic: Prob (F-statistic): Log-Likelihood: AIC: BIC: 14.742 4.888 8.313 2.254 P>ltl 0.000 0.000 0.000 0.025 102.018 Durbin-Watson: 0.000 Jarque-Bera (JB): 11.777 Prob (JB): Cond. No. 10.868 [0.025 3.730 0.012 0.209 0.023 0.299 0.289 29.20 9.25e-16 -140.06 288.1 301.5 0.975] 4.882 0.027 0.339 0.342 PACOUE 2.095 649.071 1.14e-141 183. Return Next Above are the regression results from a regression of the natural log of CEO salaries on return on equity (expressed as a percentage, not a decimal), the natural log of firm sales, and a binary variable for whether the firm is in the finance industry or not. What is the correct interpretation of the coefficient on return on equity? For a one percentage point increase in return on equity, estimated CEO salary increases by about $19, controlling for logged sales and whether the firm is in the finance industry. For a one percentage point increase in return on equity, estimated CEO salary increases by 4.888 percent, controlling for logged sales and whether the firm is in the finance industry. For a one percentage point increase in return on equity, estimated CEO salary increases by 0.0194 percent, controlling for logged sales and whether the firm is in the finance industry. For a one percentage point increase in return on equity, estimated CEO salary increases by 1.94 percent, controlling for logged sales and whether the firm is in the finance industry.
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