Consider the following regression estimates (FN2) Linear regression wage C. 5 O d. 3 Robust Coef....
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Consider the following regression estimates (FN2) Linear regression wage C. 5 O d. 3 Robust Coef. Std. Err. belavg -1.063254 .3047845 abvavg .0693348 .3150202 female -2.751963 .2820787 married .2612646 .9686236 6.699098 .2889831 _cons t Number of obs F(4, 1255) Prob > F R-squared Root MSE P>|t| -3.49 0.001 0.22 0.826 -9.76 0.000 3.71 0.000 23.18 0.000 || || || || || [95% Conf. Interval] 1,260 56.35 0.0000 0.1121 4.3987 -1.661197 -.4653108 -.5486894 .687359 -3.305361 -2.198565 1.481187 7.266042 .45606 6.132155 assume that MLR 1-6 hold. In the regression above, how many coefficients (including the constant) are statistically significant at the 1% level? a. 4 b.1 Consider the following regression estimates (FN2) Linear regression wage C. 5 O d. 3 Robust Coef. Std. Err. belavg -1.063254 .3047845 abvavg .0693348 .3150202 female -2.751963 .2820787 married .2612646 .9686236 6.699098 .2889831 _cons t Number of obs F(4, 1255) Prob > F R-squared Root MSE P>|t| -3.49 0.001 0.22 0.826 -9.76 0.000 3.71 0.000 23.18 0.000 || || || || || [95% Conf. Interval] 1,260 56.35 0.0000 0.1121 4.3987 -1.661197 -.4653108 -.5486894 .687359 -3.305361 -2.198565 1.481187 7.266042 .45606 6.132155 assume that MLR 1-6 hold. In the regression above, how many coefficients (including the constant) are statistically significant at the 1% level? a. 4 b.1
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Managerial Accounting
ISBN: 978-1285866307
13th edition
Authors: Carl S. Warren, James M. Reeve, Jonathan Duchac
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