Essay About C10.075461.4984986.7237020.0000Growth3.83E And Ols Dependent Variable

Serial Acquisitions, Overconfidence and Ceo’s Empire Building
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Project II:Serial Acquisitions, Overconfidence and CEO’s Empire Building1/ the regression estimation with the OLS Dependent Variable: NB_ACQUISITIONSMethod: Least SquaresDate: 03/01/17   Time: 10:28Sample: 1 712Included observations: 633VariableCoefficientStd. Errort-StatisticProb.  C10.075461.4984986.7237020.0000GROWTH3.83E-053.07E-051.2445470.2138INSIDER-0.0103620.003165-3.2738480.0011AVERAGE_RELATIVE_SIZE0.0371090.0113063.2823260.0011TE_TA0.1355730.0612962.2117840.0273SIZE-0.5452690.159014-3.4290610.0006FIXED_ASSETS-0.1601980.341992-0.4684260.6396FINANCE0.2881610.3285960.8769460.3809R-squared0.092650    Mean dependent var5.483412Adjusted R-squared0.082488    S.D. dependent var2.894800S.E. of regression2.772838    Akaike info criterion4.890178Sum squared resid4805.395    Schwarz criterion4.946424Log likelihood-1539.741    Hannan-Quinn criter.4.912020F-statistic9.117002    Durbin-Watson stat0.129146Prob(F-statistic)0.0000002/ The evaluation of the explanatory power of the model:According to the regression estimation with the OLS, we have the Adjusted R-square equal to 0.082488, which means that, with our explanatory variables we succeeded to explain 8.25% of our dependent variable (Number of acquisition)