Question: Source SS df MS Model 4.26983177 Residual | 17.8199584 3 549 1.42327726 .032442547 Number of obs F(3, 549) Prob > F R-squared Adj R-squared Root

Source SS df MS Model 4.26983177 Residual | 17.8199584 3 549 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 0.1890 . 18012 Total| 22.0807902 552 .040001431 ROA Coef. Std. Err. t p>It! [95% conf. Interval] In(ASSETS)! GROWTH INVESTMENT ! _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 .@30577 .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 - In(ASSETS) Assets growth - GROWTH Investments-to-assets ratio - INVESTMENT Value of Y (in the third column) rounded to 3 decimal places is

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