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一、前言生产管理和开发是使生产不断增长,日新月异的重要环节。为了正确指导生产和开发,往往借助于预测技术,它能快而准确的在未来或未知境界进行探索。预测技术发展的很快,其中定量性预测是预测技术的核心。它使用的“因果关系模型”尤为广泛,它的数学模式,简写为“y←x”其中x表示自变量(原因),y表示因变量(结果),它的分析方法以数理统计中的回归分析方法[1][2]作为理论基础,根据自变量的多少及数学关系模型可分为:一元线性回归预测,多元线性回
I. Preface Production management and development are an important part of constantly increasing production and changing with each passing day. In order to properly guide the production and development, it often uses the prediction technology, which can quickly and accurately explore the future or unknown realm. Forecasting technology is developing rapidly, of which quantitative forecasting is the core of forecasting technology. It uses a “causal relationship model,” especially for a wide range of mathematical models, abbreviated as “y ← x” where x is the argument (reason) and y is the dependent variable (result), and its analysis is based on mathematical statistics Analysis method [1] [2] as a theoretical basis, according to the number of independent variables and mathematical relationship model can be divided into: a linear regression forecast, multiple linear regression