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Source 1 SS df MS 3 Model 1 4.26983177 Residual 17.8199584 1.42327726 .032442547 Number of obs F(3, 549) Prob > F R-squared Adj R-squared Root
Source 1 SS df MS 3 Model 1 4.26983177 Residual 17.8199584 1.42327726 .032442547 Number of obs F(3, 549) Prob > F R-squared Adj R-squared Root MSE 553 43.87 0.0000 0.1934 0.1899 .18012 549 Total | 22.0807902 552 .040001431 ROA Coef. std. Err. t P>It! [95% Conf. Interval] In(ASSETS) 1 GROWTH INVESTMENT 1 _cons | .0383082 .0877141 .2392796 -.2916028 .0039359 .0253838 Y .0272332 9.73 3.46 2.22 - 10.71 0.000 0.001 0.027 0.000 .030577 0378529 .0279003 . 3450968 . 1375754 .4506589 -.2381089 You estimated the regression model (the Stata output is provided above) where the dependent variable is ROA (return on assets) of a firm. The Independent variables are: Natural logarithm of assets = n(ASSETS) Assets growth - GROWTH Investments to assets ratio INVESTMENT Value of x in the last column rounded to 3 decimal places is
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