代写英文：多元回归模型
根据多元回归模型的描述表，所有数据点与实际输出和预测输出的偏差都得到了清晰的反映。因此，估计结果与预测结果的偏差也可以通过多元回归模型来评估。例如，第一点销售是销售成本和广告，剩余产出是£310315。这意味着根据多元回归模型的计算数据，预测和实际销售可能会有£310315的变化。
与回归模型相关的伦理问题
回归分析的关键伦理问题是对回归假设的误读。在这种情况下，Agresti和Kateri(2011)指出，回归的意识是主要问题，反过来又强调了最小二乘回归。由于大多数情况下是机械地使用回归统计数据，而没有考虑回归的假设，所以分析人员对假设的评估知之甚少。此外，Dimaggio(2013)在前面的陈述中补充道，人们对替代选择的认识不够，而其中一个关键的假设被其中一个因素所违背，被认为是变量。因此，只有对结果的计算和操作是通过分析将决策转向错误的方向，因为偏离了实际的结果。
代写英文：多元回归模型
According to the depicted table of multiple regression models, deviation from the actual output and the predicted output for all the data points are reflected clearly. Hence, the deviation of the estimated result from the predicted result can also be assessed from the multiple regression models. For example, the first point of sales is cost of sales and advertisement, the residual output is £310315. It implies that the forecasted and actual sales may have the variation of £310315 in according to the calculated data of multiple regression models.
Ethical issues associated with the regression modelling
The key ethical issue of the regression analysis is the misinterpretation of the regression assumptions. In that case, Agresti and Kateri (2011) stated that the awareness of the regression is the main problem that in turn underlines the least square regression. The analysts have the little knowledge regarding the evaluation of the assumptions as most of the cases the regression statistics are used mechanically without considering the assumptions of the regression. Moreover, Dimaggio (2013) added to the previous statement that people do not have sufficient knowledge regarding the alternative option while one of the key assumptions is violated by one of the factors, considered as variable. Therefore, only the calculations and manipulation of the outcomes are performed by the analytics diverting the decision towards a wrong direction due to deviation from actual result.
