回归分析通常用于对业务有深远影响的业务动态上下文中。本文以Clipper Logistics Plc为研究对象，采用回归分析的方法进行研究。，餐饮在运输和物流行业。本研究的目的是了解企业变量回归的应用。通过对各种回归方法的讨论，将多元回归或多项式回归应用于本案例。通过对线性回归的修正，也发现了与线性回归相关的伦理问题。
回归模型是衡量企业内部因变量和自变量之间关系的有效统计工具之一。因变量固定时，可以在两个以上变量之间进行回归。认为Ćorić和普(2010),该回归模型允许科学家们预测未来与这个强大的工具根据过去和现在的数据和趋势。此外，Chen et al.(2009)指出，科学家们更喜欢这个模型，因为从时间和成本的角度来看，这个模型在收集和分析数据时比仅仅收集关于事件的数据更便宜。因此，回归分析向分析人员提供有关变量运动的信息。独立因素对被依赖者的影响对于企业的经营是有效的。
The regression analysis is often used in the context of business dynamics that has profound impact on business. In this paper, regression analysis is used in the context of the firm, Clipper Logistics Plc., catering in the transport and logistics industry. The aim of the study is to understand the application of the regression on the variables of the business. After discussion the various regression methods, the multiple regression or the polynomial regression has been applied to this case. The ethical issues related to the linear regression are also identified with the remediation of the same.
Regression modelling is one of the effective statistical tools to measure the relationship between the dependent and independent variables within the businesses. The regression could be conducted between more than two variables where the dependent variable is fixed. In the opinion of Ćorić and Pugh (2010), the regression model allows the scientists to predict the future with this powerful tool based on the past and present statistics and trends. In addition, Chen et al. (2009) stated that the scientists prefer this model much more, as the model is less expensive from the perspectives of time and costs in case of collecting and analyzing the data rather than just collecting the data about the events. Thus, the regression analysis delivers the analysts the information regarding the movements of the variables. The impact of the independent factor on the dependent is effective for conducting the business operations.
In that case, Kock (2010) commented that due to the popularity of these two basic regressions, a significant number of analysts even end up their prediction that these are the only form of regression. The facts regarding the regression are its presence in different forms and techniques where each of the regressions has its own importance and condition where the associated regression is best to analyse the scenario. The following are the 7 simpler forms of regressions used in different scenarios.