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An application of regression analysis to quantify a claim for increased costs

机译：回归分析在量化增加成本索赔中的应用

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This paper is a case study of the use of multiple linear regression analysis to quantify a claim for extra payment to a subcontractor for work on a substantial construction earth-moving project. The basis of the claim was that the client and main contractor required the work to be executed in ways other than that originally planned by the subcontractor, reducing efficiency and so increasing costs. The authors of this paper represented the earth-moving subcontractor in a legal arbitration, in which this application of multiple linear regression analysis was fundamental to quantifying the amount claimed in the case. The analysis determined the time required to perform earth-moving tasks, based on a set of explanatory variables, using data sets recorded on-site. The same equation was then applied to the plan of work used for the tender and was used to show that the comparative efficiency between tender and actual was as low as 25%. The claim was successful, and the calculations described in this paper were used to quantify a total additional payment of approximately ￡380 000.
机译：本文是使用多元线性回归分析来量化为分包商在大型建筑土方工程上的额外付款的案例研究。索赔的依据是，客户和主承包商要求以不同于分包商最初计划的方式执行工作，从而降低了效率并因此增加了成本。本文的作者在法律仲裁中代表土方分包商，在该案例中，多元线性回归分析的这种应用对于量化此案的索赔额至关重要。分析使用一组现场记录的数据集，根据一组解释变量确定了执行土方任务所需的时间。然后，将相同的方程式应用于招标工作计划，并用来表明招标与实际的比较效率低至25％。索赔成功，本文所述的计算方法用于量化总计约38万英镑的额外付款。

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