Data Analysis Analyzes The Change In Stock Price In 1994

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Register to read the introduction… Return = -31.182 + .252dkr + .061eps + 6.874log(sal) – 2.698log(netinc) – .218sp90
Table 2 | Coefficients | t Stat | P-value | Intercept | -31.18 | -0.82 | 0.41 | dkr | 0.25 | 1.29 | 0.20 | eps | 0.06 | 0.78 | 0.43 | logsal | 6.87 | 1.13 | 0.26 | lognet | -2.70 | -0.81 | 0.42 | sp90 | -0.22 | -3.41 | 0.00 | R Square | 0.11 | | |

The third regression data analysis analyzes the change in stock price and how they are related to debt capital ratio, earning per share, logarithms of salary of the CEO and the net income, and stock price in
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For example for every additional unit increase in the debt per capital ratio (dkr), tends to increase by 3.2 percent. Earnings per share also tend to increase by 4 percent per additional unit increase. However as an additional unit is increased in the CEO’s compensation, their salary does not seem to see any change and the net income decreases by 0.01 per additional units added. The intercept in this regression has no significant meaning. The p-values on Table 1 for dkr, eps, sal, and netinc shows that none of these estimates have any significant meaning since they are all greater than 0.05. The R-Square of this table indicates that 3.9 percent of the variation of a CEO’s compensation is explained in the dkr, eps, sal and

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