论文代写：统计学
市场份额对应的变量MS的系数为0.026。估计的相应p值是0.044。这意味着相应的零假设，即系数在统计学上并不不等于零，可以在5％的显着性水平被拒绝。然而，CR3的系数即市场集中度变量在统计学上并不显着。即使系数为负数，它与零不是静态不同的，这意味着它对因变量ROA的影响在统计学上并不显着，因为t检验假设的相关p值是0.671，甚至高于0.1。所以，即使在10％的意义上，零假设也不能被拒绝。国内生产总值和总存款的系数都非常小，但具有统计意义。
论文代写：统计学
这意味着即使它们很小，它们在统计上也不同于零。 GDP系数的p值为0.017。这意味着零假设可以被超过98％的保证拒绝。类似地，总存款的p值接近于0.000，这意味着系数在统计上等于零的零假设可以几乎100％置信地被拒绝。由于因变量非常低，而变量本身的幅度非常大，因此GDP和总存款的系数极低。为了弥补这一点，系数的幅度很小。然而，与经济膨胀相对应的变量CPI在统计学上并不显着，因为p值（0.912）大于0.1。所以CPI和ROA之间的因果关系并没有什么实际意义。
论文代写：统计学
The variable MS corresponding to market share has a coefficient of 0.026. The corresponding p-value of the estimate is 0.044. This implies that the corresponding null hypothesis that the coefficient is statistically not different from zero can be rejected at 5% level of significance. However, the coefficient of CR3 i.e. the market concentration variable is not statistically significant. Even though the coefficient is negative, it is not statically different from zero which means that it’s effect on the dependent variable ROA is not statistically significant because the associated p-value for the t-test hypothesis is 0.671 which is higher than even 0.1. So, even at 10% level of significance, the null hypothesis cannot be rejected. The coefficients of both GDP and total deposits in the country are very small but are statistically significant.
论文代写：统计学
This implies that even though they are small, they are statistically different from zero. The p-value for the coefficient of GDP is 0.017. This implies that the null hypothesis can be rejected with more than 98% surety. Similarly the p-value for total deposits is nearly 0.000 which means the null hypothesis that the coefficient is statistically equal to zero can be rejected with almost 100% confidence. The exceedingly low value of the coefficients of GDP and total deposits arise because the dependent variable is very low in value while the variable in itself is very high in magnitude. To compensate for that, the coefficients are small in magnitude. The variable CPI corresponding to the inflation of the economy however is not statistically significant as the p-value (0.912) is greater than 0.1. So, the causality between CPI and ROA does not has any practical implication.
