Recitation4cript - ? ols salary 0 ceoten age profits...

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? ols salary 0 ceoten age profits %regressing salary on ceoten age and profits Model 1: OLS, using observations 1-177 Dependent variable: salary coefficient std. error t-ratio p-value -------------------------------------------------------- const 568.821 279.103 2.038 0.0431 ** ceoten 11.8558 6.03073 1.966 0.0509 * age 1.48127 5.15339 0.2874 0.7741 profits 0.573286 0.100988 5.677 5.69e-08 *** Mean dependent var 865.8644 S.D. dependent var 587.5893 Sum squared resid 49917913 S.E. of regression 537.1618 R-squared 0.178522 Adjusted R-squared 0.164277 F(3, 173) 12.53199 P-value(F) 1.87e-07 Log-likelihood -1361.804 Akaike criterion 2731.608 Schwarz criterion 2744.313 Hannan-Quinn 2736.761 Excluding the constant, p-value was highest for variable 2 (age) ? t1=($coeff(ceoten) -15)/$stderr(ceoten) %construct a t-statistic for H0: b(ceoten)=15 Generated scalar t1 = -0.521367 ? pvalue t $df abs(t1) %compute p-value.
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Recitation4cript - ? ols salary 0 ceoten age profits...

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