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Polynomial Regression Model of Making Cost Prediction In Mixed Cost Analysis

机译:混合成本分析中进行成本预测的多项式回归模型

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摘要

Regression analysis is used across business fields for tasks as diverse as systematic risk estimation, production and operations management, and statistical inference. This paper presents the cubic polynomial least square regression as a robust alternative method of making cost prediction in business rather than the usual linear regression.The study reveals that polynomial regression is a better alternative with a very high coefficient of determination.
机译:回归分析可用于跨业务领域的各种任务,例如系统风险评估,生产和运营管理以及统计推断。本文将三次多项式最小二乘回归作为一种可靠的替代方法进行业务成本预测,而不是通常的线性回归。研究表明,多项式回归是具有较高确定系数的更好替代方法。

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