Dep. Variable: Model: Method: Date: Time: No. Observations: Df Residuals: Df Model: Covariance Type: Intercept roe sales finance. coef 759.3063 21.2545 0.0168 182.8875 salary OLS Least Squares Wed, 23 Nov 2022 08:53:41 nonrobust std err 209 205 3 241.575 11.275 0.009 231.251 R-squared: Adj. R-squared: F-statistic: Prob (F-statistic): Log-Likelihood: AIC: BIC: t 3.143 1.885 1.887 0.791 P>|t| 0.002 0.061 0.061 0.430 =========== [0.025 283.017 -0.976 -0.001 -273.049 0.032 0.018 2.268 0.0817 -1802.5 3613. 3626. ===== 0.975] 1235.596 43.485 0.034 638.824 ===== -p Above are the results from a regression of CEO salary in thousands of U.S. dollars on return on equity (roe) as a percentage (i.e., 18%, not 0.18), sales in millions of U.S. dollars, and a binary variable for whether the firm is in the finance industry. What percentage of the variance in CEO salary does this regression model explain? Use a number rather than a decimal (i.e., 10%, not 0.10), and round to one decimal point.

and a binary variable for whether the firm is in the finance industry. What percentage of the variance in CEO Salary does this regression model explain? Use a number rather than a decimal (if., 10k, not 0.10 , and round to one decinul poitt