代写被抓-模型分析

本文主要讲的是模型分析,从上表可以抛光,模型的显着性为1%。上述模型中f统计量的p值非常低,说明该模型具有显着性。模型,解释力由r平方值赋予。因此,该模型对因变量的变化解释程度为40.3%。由于50%的变量具有统计显着性,且模型的解释能力较低,因此尽管相关性较高,但模型似乎不存在多重共线性。市场份额对应的变量MS的系数为0.026。估计值的相应p值0.044。这意味着,在5%的显着性水平下,可以拒绝相应的零假设,即系数在统计上与零无差异。本篇代写被抓文章由美国论文通AssignmentPass辅导网整理,供大家参考阅读。

As evident from the tables above, the model is significant at 1% level of significance. The p-value for the F-statistic in the above model is very low which implies that the model is significant. The explanatory power of the model is given by the R-squared value. Thus, in this model the variation in the dependent variable is explained to the extent of 40.3%. The model appears to be free from multicollinearity despite high correlations because 50% the variables are statistically significant and the explanatory power of the model is low.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. 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.

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